[
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1abb3656a46112840ddab0db5b0efdfeb46633885c2cf1f34965ed70cc4d217d",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7810928347671066,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1abb3656a46112840ddab0db5b0efdfeb46633885c2cf1f34965ed70cc4d217d",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.9455321376897576,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1abb3656a46112840ddab0db5b0efdfeb46633885c2cf1f34965ed70cc4d217d",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.7289289194847209,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1abb3656a46112840ddab0db5b0efdfeb46633885c2cf1f34965ed70cc4d217d",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.3947194055819812,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1abb3656a46112840ddab0db5b0efdfeb46633885c2cf1f34965ed70cc4d217d",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2784438886127847,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1abb3656a46112840ddab0db5b0efdfeb46633885c2cf1f34965ed70cc4d217d",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05685659771021637,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1abb3656a46112840ddab0db5b0efdfeb46633885c2cf1f34965ed70cc4d217d",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2efd6cb597a9d9bcd6c5f559e179011d4ca49eee7d2c397d0a889361ee274443",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7665724419038883,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2efd6cb597a9d9bcd6c5f559e179011d4ca49eee7d2c397d0a889361ee274443",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.9299791910798283,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2efd6cb597a9d9bcd6c5f559e179011d4ca49eee7d2c397d0a889361ee274443",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.7205040687690257,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2efd6cb597a9d9bcd6c5f559e179011d4ca49eee7d2c397d0a889361ee274443",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.38698352529543034,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2efd6cb597a9d9bcd6c5f559e179011d4ca49eee7d2c397d0a889361ee274443",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2611841451584498,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2efd6cb597a9d9bcd6c5f559e179011d4ca49eee7d2c397d0a889361ee274443",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05614655923599124,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2efd6cb597a9d9bcd6c5f559e179011d4ca49eee7d2c397d0a889361ee274443",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "251ed4b58e4c6535cfc036ddbc032c02d9e811ce820b505239fc17fa14562ab8",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7563428595415896,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "251ed4b58e4c6535cfc036ddbc032c02d9e811ce820b505239fc17fa14562ab8",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.9247019758412703,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "251ed4b58e4c6535cfc036ddbc032c02d9e811ce820b505239fc17fa14562ab8",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.711103228303326,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "251ed4b58e4c6535cfc036ddbc032c02d9e811ce820b505239fc17fa14562ab8",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.38509025727220425,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "251ed4b58e4c6535cfc036ddbc032c02d9e811ce820b505239fc17fa14562ab8",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2548633774477924,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "251ed4b58e4c6535cfc036ddbc032c02d9e811ce820b505239fc17fa14562ab8",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05541334830574239,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "251ed4b58e4c6535cfc036ddbc032c02d9e811ce820b505239fc17fa14562ab8",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "07840ef31045021bc9455f20e952f7f0a4c64b1d29252e3f1fe386366631a7a6",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7723384098446944,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "07840ef31045021bc9455f20e952f7f0a4c64b1d29252e3f1fe386366631a7a6",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.9367519353540139,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "07840ef31045021bc9455f20e952f7f0a4c64b1d29252e3f1fe386366631a7a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.7254957004292268,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "07840ef31045021bc9455f20e952f7f0a4c64b1d29252e3f1fe386366631a7a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.39285293715661745,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "07840ef31045021bc9455f20e952f7f0a4c64b1d29252e3f1fe386366631a7a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2784231287956742,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "07840ef31045021bc9455f20e952f7f0a4c64b1d29252e3f1fe386366631a7a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05660235204927118,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "07840ef31045021bc9455f20e952f7f0a4c64b1d29252e3f1fe386366631a7a6",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "9db8a71cd31af792548edbf8b7368c59414fd5eae45921b2743e3e0ab679185c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.8187674938745211,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "9db8a71cd31af792548edbf8b7368c59414fd5eae45921b2743e3e0ab679185c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0013105035967322,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "9db8a71cd31af792548edbf8b7368c59414fd5eae45921b2743e3e0ab679185c",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.7704555315181245,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "9db8a71cd31af792548edbf8b7368c59414fd5eae45921b2743e3e0ab679185c",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.4169474873448987,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "9db8a71cd31af792548edbf8b7368c59414fd5eae45921b2743e3e0ab679185c",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.3588888706795028,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "9db8a71cd31af792548edbf8b7368c59414fd5eae45921b2743e3e0ab679185c",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.060037789562335034,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "9db8a71cd31af792548edbf8b7368c59414fd5eae45921b2743e3e0ab679185c",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "f65607926884b605a93037205c2af38f434c66b69f667c4b9a70be214f5a0f88",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7838323837971556,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "f65607926884b605a93037205c2af38f434c66b69f667c4b9a70be214f5a0f88",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.9528349699697392,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "f65607926884b605a93037205c2af38f434c66b69f667c4b9a70be214f5a0f88",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.736621230840113,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "f65607926884b605a93037205c2af38f434c66b69f667c4b9a70be214f5a0f88",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.39861450031021617,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "f65607926884b605a93037205c2af38f434c66b69f667c4b9a70be214f5a0f88",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2877878407466474,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "f65607926884b605a93037205c2af38f434c66b69f667c4b9a70be214f5a0f88",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05739382222461152,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "f65607926884b605a93037205c2af38f434c66b69f667c4b9a70be214f5a0f88",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "6513f7c8cad42b897fc840bd9872c99534556cdd62011cdb6cdb5b5f6e99a4d5",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5804100169841782,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "6513f7c8cad42b897fc840bd9872c99534556cdd62011cdb6cdb5b5f6e99a4d5",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "6513f7c8cad42b897fc840bd9872c99534556cdd62011cdb6cdb5b5f6e99a4d5",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5434732682276356,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "6513f7c8cad42b897fc840bd9872c99534556cdd62011cdb6cdb5b5f6e99a4d5",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2761888280765327,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "6513f7c8cad42b897fc840bd9872c99534556cdd62011cdb6cdb5b5f6e99a4d5",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8879412531819136,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "6513f7c8cad42b897fc840bd9872c99534556cdd62011cdb6cdb5b5f6e99a4d5",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.04023577632784183,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "6513f7c8cad42b897fc840bd9872c99534556cdd62011cdb6cdb5b5f6e99a4d5",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.054526891748504,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "20de4093be1fc927af37592c3f8aab306afcf43e08a5125f91d7d903f29abeda",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5602818542196425,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "20de4093be1fc927af37592c3f8aab306afcf43e08a5125f91d7d903f29abeda",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "20de4093be1fc927af37592c3f8aab306afcf43e08a5125f91d7d903f29abeda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5222759204953761,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "20de4093be1fc927af37592c3f8aab306afcf43e08a5125f91d7d903f29abeda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26812260718737735,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "20de4093be1fc927af37592c3f8aab306afcf43e08a5125f91d7d903f29abeda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8462862651442773,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "20de4093be1fc927af37592c3f8aab306afcf43e08a5125f91d7d903f29abeda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03953355549948789,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "20de4093be1fc927af37592c3f8aab306afcf43e08a5125f91d7d903f29abeda",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9994669314012878,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "371254b1c8929dfdd22df3734def63e703a5943bbcf65f8dc08fd9e53a356b2f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5599663903854415,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "371254b1c8929dfdd22df3734def63e703a5943bbcf65f8dc08fd9e53a356b2f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "371254b1c8929dfdd22df3734def63e703a5943bbcf65f8dc08fd9e53a356b2f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5199778452957711,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "371254b1c8929dfdd22df3734def63e703a5943bbcf65f8dc08fd9e53a356b2f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2698460622575226,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "371254b1c8929dfdd22df3734def63e703a5943bbcf65f8dc08fd9e53a356b2f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8452162643172556,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "371254b1c8929dfdd22df3734def63e703a5943bbcf65f8dc08fd9e53a356b2f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03922486094329095,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "371254b1c8929dfdd22df3734def63e703a5943bbcf65f8dc08fd9e53a356b2f",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0027282004021345,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b8374bf5b9bdc6a333a54fb5c94fae37dc0ffaa97ba97627b875e96341b53c93",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.584834057454767,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b8374bf5b9bdc6a333a54fb5c94fae37dc0ffaa97ba97627b875e96341b53c93",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b8374bf5b9bdc6a333a54fb5c94fae37dc0ffaa97ba97627b875e96341b53c93",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5458208861185354,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b8374bf5b9bdc6a333a54fb5c94fae37dc0ffaa97ba97627b875e96341b53c93",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.27946506563084583,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b8374bf5b9bdc6a333a54fb5c94fae37dc0ffaa97ba97627b875e96341b53c93",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8812545212207188,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b8374bf5b9bdc6a333a54fb5c94fae37dc0ffaa97ba97627b875e96341b53c93",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.04081124439637183,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b8374bf5b9bdc6a333a54fb5c94fae37dc0ffaa97ba97627b875e96341b53c93",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0457759287080808,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "d7ce1b2d6bd20ff08f84b764b4d21936009491911971b94f4ec1d51167e5761c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5586227691637975,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "d7ce1b2d6bd20ff08f84b764b4d21936009491911971b94f4ec1d51167e5761c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "d7ce1b2d6bd20ff08f84b764b4d21936009491911971b94f4ec1d51167e5761c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5185078817330737,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "d7ce1b2d6bd20ff08f84b764b4d21936009491911971b94f4ec1d51167e5761c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26901382689272396,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "d7ce1b2d6bd20ff08f84b764b4d21936009491911971b94f4ec1d51167e5761c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8375095758177786,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "d7ce1b2d6bd20ff08f84b764b4d21936009491911971b94f4ec1d51167e5761c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0393361223451271,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "d7ce1b2d6bd20ff08f84b764b4d21936009491911971b94f4ec1d51167e5761c",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.995353539325755,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "9646815bb8c2d62a63b461310aef40db13172e9f13c95c122ce325a73534b993",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5629568627241095,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "9646815bb8c2d62a63b461310aef40db13172e9f13c95c122ce325a73534b993",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "9646815bb8c2d62a63b461310aef40db13172e9f13c95c122ce325a73534b993",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5210685170230722,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "9646815bb8c2d62a63b461310aef40db13172e9f13c95c122ce325a73534b993",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2679770274212177,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "9646815bb8c2d62a63b461310aef40db13172e9f13c95c122ce325a73534b993",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8441876718272417,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "9646815bb8c2d62a63b461310aef40db13172e9f13c95c122ce325a73534b993",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03931140777182163,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "9646815bb8c2d62a63b461310aef40db13172e9f13c95c122ce325a73534b993",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9999886592208965,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f7238622c5d3a7c3e7c054386157159bc61f152d7a08ebed8c956524787d11bc",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3745596611327988,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f7238622c5d3a7c3e7c054386157159bc61f152d7a08ebed8c956524787d11bc",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5810170772906946,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f7238622c5d3a7c3e7c054386157159bc61f152d7a08ebed8c956524787d11bc",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2990141863730997,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f7238622c5d3a7c3e7c054386157159bc61f152d7a08ebed8c956524787d11bc",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6983161389776548,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f7238622c5d3a7c3e7c054386157159bc61f152d7a08ebed8c956524787d11bc",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1858073148911648,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f7238622c5d3a7c3e7c054386157159bc61f152d7a08ebed8c956524787d11bc",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10295877503305166,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f7238622c5d3a7c3e7c054386157159bc61f152d7a08ebed8c956524787d11bc",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "479dfeed6f6afff7ceb64072e4768b9f0d75c257ffeb039cc4cd7b72e48ec184",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.378281758417607,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "479dfeed6f6afff7ceb64072e4768b9f0d75c257ffeb039cc4cd7b72e48ec184",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5849203141766863,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "479dfeed6f6afff7ceb64072e4768b9f0d75c257ffeb039cc4cd7b72e48ec184",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2894218523663032,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "479dfeed6f6afff7ceb64072e4768b9f0d75c257ffeb039cc4cd7b72e48ec184",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6939831522649734,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "479dfeed6f6afff7ceb64072e4768b9f0d75c257ffeb039cc4cd7b72e48ec184",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.188287773284226,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "479dfeed6f6afff7ceb64072e4768b9f0d75c257ffeb039cc4cd7b72e48ec184",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10234484903367919,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "479dfeed6f6afff7ceb64072e4768b9f0d75c257ffeb039cc4cd7b72e48ec184",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "97368736799f90a9342598e4954716c0c7c27ca5ad2e2d9de3e1791deaf8b2c2",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.4210653757729244,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "97368736799f90a9342598e4954716c0c7c27ca5ad2e2d9de3e1791deaf8b2c2",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.626091861786501,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "97368736799f90a9342598e4954716c0c7c27ca5ad2e2d9de3e1791deaf8b2c2",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.3254859139777717,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "97368736799f90a9342598e4954716c0c7c27ca5ad2e2d9de3e1791deaf8b2c2",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7132307234055121,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "97368736799f90a9342598e4954716c0c7c27ca5ad2e2d9de3e1791deaf8b2c2",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.243709408307428,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "97368736799f90a9342598e4954716c0c7c27ca5ad2e2d9de3e1791deaf8b2c2",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10516323515861088,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "97368736799f90a9342598e4954716c0c7c27ca5ad2e2d9de3e1791deaf8b2c2",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b68bb849cfc4bf9d9921de43e462bc34063608c055a42b2e7cd63c045ce0d2e1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.4943644009977117,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b68bb849cfc4bf9d9921de43e462bc34063608c055a42b2e7cd63c045ce0d2e1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7090570432786223,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b68bb849cfc4bf9d9921de43e462bc34063608c055a42b2e7cd63c045ce0d2e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.3998917790602377,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b68bb849cfc4bf9d9921de43e462bc34063608c055a42b2e7cd63c045ce0d2e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7515633847600574,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b68bb849cfc4bf9d9921de43e462bc34063608c055a42b2e7cd63c045ce0d2e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.3746598212907375,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b68bb849cfc4bf9d9921de43e462bc34063608c055a42b2e7cd63c045ce0d2e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.11102424608321369,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b68bb849cfc4bf9d9921de43e462bc34063608c055a42b2e7cd63c045ce0d2e1",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "e3a7af3cb7963353f38fe45db84ef04832fe56f8fa23358934eeecba6f8a4ee4",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3741854296338079,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "e3a7af3cb7963353f38fe45db84ef04832fe56f8fa23358934eeecba6f8a4ee4",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5762058288047063,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "e3a7af3cb7963353f38fe45db84ef04832fe56f8fa23358934eeecba6f8a4ee4",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.28440977905634,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "e3a7af3cb7963353f38fe45db84ef04832fe56f8fa23358934eeecba6f8a4ee4",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6902221034452997,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "e3a7af3cb7963353f38fe45db84ef04832fe56f8fa23358934eeecba6f8a4ee4",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.129211422195508,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "e3a7af3cb7963353f38fe45db84ef04832fe56f8fa23358934eeecba6f8a4ee4",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10181761095454116,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "e3a7af3cb7963353f38fe45db84ef04832fe56f8fa23358934eeecba6f8a4ee4",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d390121e3694f510a6282890fa45771c35234fcb3c1846a240721da8062b0cd5",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.383738334671707,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d390121e3694f510a6282890fa45771c35234fcb3c1846a240721da8062b0cd5",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5833937464403807,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d390121e3694f510a6282890fa45771c35234fcb3c1846a240721da8062b0cd5",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2991631672895623,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d390121e3694f510a6282890fa45771c35234fcb3c1846a240721da8062b0cd5",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6995767900919898,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d390121e3694f510a6282890fa45771c35234fcb3c1846a240721da8062b0cd5",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1940506417683525,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d390121e3694f510a6282890fa45771c35234fcb3c1846a240721da8062b0cd5",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10331134317982654,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d390121e3694f510a6282890fa45771c35234fcb3c1846a240721da8062b0cd5",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0c7e9cbfed0e27223f0ec17bbaa22c5d2d0b7f729d5e8d55188f27dd1a57402b",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.580933692128213,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0c7e9cbfed0e27223f0ec17bbaa22c5d2d0b7f729d5e8d55188f27dd1a57402b",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0c7e9cbfed0e27223f0ec17bbaa22c5d2d0b7f729d5e8d55188f27dd1a57402b",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5393683875198421,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0c7e9cbfed0e27223f0ec17bbaa22c5d2d0b7f729d5e8d55188f27dd1a57402b",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2611196076485206,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0c7e9cbfed0e27223f0ec17bbaa22c5d2d0b7f729d5e8d55188f27dd1a57402b",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8849344275245168,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0c7e9cbfed0e27223f0ec17bbaa22c5d2d0b7f729d5e8d55188f27dd1a57402b",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03996551952135788,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0c7e9cbfed0e27223f0ec17bbaa22c5d2d0b7f729d5e8d55188f27dd1a57402b",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0692550223894899,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "0a1fcdd691d0047e498c41298ae5daa3cd4c5760990b47403afbe2237f35b61d",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5552853410722666,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "0a1fcdd691d0047e498c41298ae5daa3cd4c5760990b47403afbe2237f35b61d",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "0a1fcdd691d0047e498c41298ae5daa3cd4c5760990b47403afbe2237f35b61d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5130584831352775,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "0a1fcdd691d0047e498c41298ae5daa3cd4c5760990b47403afbe2237f35b61d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2533089479186065,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "0a1fcdd691d0047e498c41298ae5daa3cd4c5760990b47403afbe2237f35b61d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8466167174281434,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "0a1fcdd691d0047e498c41298ae5daa3cd4c5760990b47403afbe2237f35b61d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03893008478048533,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "0a1fcdd691d0047e498c41298ae5daa3cd4c5760990b47403afbe2237f35b61d",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0189115508980564,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c2837adb838085c0d3b31128b9022cca7dacd86356512f4d0541c1d2d099f57c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5573055846782392,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c2837adb838085c0d3b31128b9022cca7dacd86356512f4d0541c1d2d099f57c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c2837adb838085c0d3b31128b9022cca7dacd86356512f4d0541c1d2d099f57c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5203090400990317,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c2837adb838085c0d3b31128b9022cca7dacd86356512f4d0541c1d2d099f57c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.25392895851730135,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c2837adb838085c0d3b31128b9022cca7dacd86356512f4d0541c1d2d099f57c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8393943741304062,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c2837adb838085c0d3b31128b9022cca7dacd86356512f4d0541c1d2d099f57c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03922151301969945,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c2837adb838085c0d3b31128b9022cca7dacd86356512f4d0541c1d2d099f57c",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0140239143319698,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d65cc131d7be36d3fc945777d74bdae3fa43effc3e328f145200dce3b573bad7",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5867023846141842,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d65cc131d7be36d3fc945777d74bdae3fa43effc3e328f145200dce3b573bad7",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d65cc131d7be36d3fc945777d74bdae3fa43effc3e328f145200dce3b573bad7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5432920488348937,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d65cc131d7be36d3fc945777d74bdae3fa43effc3e328f145200dce3b573bad7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2650871275059179,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d65cc131d7be36d3fc945777d74bdae3fa43effc3e328f145200dce3b573bad7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8784983956462266,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d65cc131d7be36d3fc945777d74bdae3fa43effc3e328f145200dce3b573bad7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0405199532344062,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d65cc131d7be36d3fc945777d74bdae3fa43effc3e328f145200dce3b573bad7",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0655199098171932,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ccad69afb9c3fc86b688b9c899923677bde273d27f2295568ff9e0c9147b756c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5520695277566591,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ccad69afb9c3fc86b688b9c899923677bde273d27f2295568ff9e0c9147b756c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ccad69afb9c3fc86b688b9c899923677bde273d27f2295568ff9e0c9147b756c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.509878098146803,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ccad69afb9c3fc86b688b9c899923677bde273d27f2295568ff9e0c9147b756c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.25040151519427156,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ccad69afb9c3fc86b688b9c899923677bde273d27f2295568ff9e0c9147b756c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8339378953225525,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ccad69afb9c3fc86b688b9c899923677bde273d27f2295568ff9e0c9147b756c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03882093132788085,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ccad69afb9c3fc86b688b9c899923677bde273d27f2295568ff9e0c9147b756c",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9904864579259921,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "314101e2a8bc703ee9d15e31a1ce6dbe3c155df8691224fdaa6002773b40d4a8",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5573529262385067,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "314101e2a8bc703ee9d15e31a1ce6dbe3c155df8691224fdaa6002773b40d4a8",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "314101e2a8bc703ee9d15e31a1ce6dbe3c155df8691224fdaa6002773b40d4a8",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5197065307980565,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "314101e2a8bc703ee9d15e31a1ce6dbe3c155df8691224fdaa6002773b40d4a8",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.25441323371694613,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "314101e2a8bc703ee9d15e31a1ce6dbe3c155df8691224fdaa6002773b40d4a8",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8393879058892045,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "314101e2a8bc703ee9d15e31a1ce6dbe3c155df8691224fdaa6002773b40d4a8",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03935663198096465,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "314101e2a8bc703ee9d15e31a1ce6dbe3c155df8691224fdaa6002773b40d4a8",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0014807197031421,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "706a473a57c5ed3f0867bec0e79feba3c35c91a4a221518e46b6fd1073d48807",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.1709899357994584,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "706a473a57c5ed3f0867bec0e79feba3c35c91a4a221518e46b6fd1073d48807",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.774157894727947,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "706a473a57c5ed3f0867bec0e79feba3c35c91a4a221518e46b6fd1073d48807",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.2319029184337085,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "706a473a57c5ed3f0867bec0e79feba3c35c91a4a221518e46b6fd1073d48807",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.269955789844637,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "706a473a57c5ed3f0867bec0e79feba3c35c91a4a221518e46b6fd1073d48807",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.2966285873184176,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "706a473a57c5ed3f0867bec0e79feba3c35c91a4a221518e46b6fd1073d48807",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17856709722234682,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "706a473a57c5ed3f0867bec0e79feba3c35c91a4a221518e46b6fd1073d48807",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "f665a3650c243b5eb40736ffa5b9bbc7082d55f2c02138cea5a754e662d6cfa6",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.0415853782063103,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "f665a3650c243b5eb40736ffa5b9bbc7082d55f2c02138cea5a754e662d6cfa6",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.6374798966882296,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "f665a3650c243b5eb40736ffa5b9bbc7082d55f2c02138cea5a754e662d6cfa6",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.204036874777783,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "f665a3650c243b5eb40736ffa5b9bbc7082d55f2c02138cea5a754e662d6cfa6",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2548064296110224,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "f665a3650c243b5eb40736ffa5b9bbc7082d55f2c02138cea5a754e662d6cfa6",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.2631013942275637,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "f665a3650c243b5eb40736ffa5b9bbc7082d55f2c02138cea5a754e662d6cfa6",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17616155770519626,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "f665a3650c243b5eb40736ffa5b9bbc7082d55f2c02138cea5a754e662d6cfa6",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "1a9829e52a9c8d8b4d17353f833d4c0749bcacac2ec5ef35936baa3fc3efc969",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.187787852002974,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "1a9829e52a9c8d8b4d17353f833d4c0749bcacac2ec5ef35936baa3fc3efc969",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7688522984233896,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "1a9829e52a9c8d8b4d17353f833d4c0749bcacac2ec5ef35936baa3fc3efc969",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.2297751604322626,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "1a9829e52a9c8d8b4d17353f833d4c0749bcacac2ec5ef35936baa3fc3efc969",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2680633319107462,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "1a9829e52a9c8d8b4d17353f833d4c0749bcacac2ec5ef35936baa3fc3efc969",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.3041279347950265,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "1a9829e52a9c8d8b4d17353f833d4c0749bcacac2ec5ef35936baa3fc3efc969",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17875430595913805,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "1a9829e52a9c8d8b4d17353f833d4c0749bcacac2ec5ef35936baa3fc3efc969",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "3616141a1f20908c94a715a3571503688dd093c39a364b756e7ac96ab3571840",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.2696447593150344,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "3616141a1f20908c94a715a3571503688dd093c39a364b756e7ac96ab3571840",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.8675227633430027,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "3616141a1f20908c94a715a3571503688dd093c39a364b756e7ac96ab3571840",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.270485014290974,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "3616141a1f20908c94a715a3571503688dd093c39a364b756e7ac96ab3571840",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.3164472288845332,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "3616141a1f20908c94a715a3571503688dd093c39a364b756e7ac96ab3571840",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.39031450606624,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "3616141a1f20908c94a715a3571503688dd093c39a364b756e7ac96ab3571840",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.18510423186763572,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "3616141a1f20908c94a715a3571503688dd093c39a364b756e7ac96ab3571840",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "05122a53f7b3cba34235e7557234a1eb08746b495c88c0dd6aa6283aa6d72796",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.143873563494016,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "05122a53f7b3cba34235e7557234a1eb08746b495c88c0dd6aa6283aa6d72796",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7413268683097878,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "05122a53f7b3cba34235e7557234a1eb08746b495c88c0dd6aa6283aa6d72796",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.1976605948690913,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "05122a53f7b3cba34235e7557234a1eb08746b495c88c0dd6aa6283aa6d72796",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2473703969020584,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "05122a53f7b3cba34235e7557234a1eb08746b495c88c0dd6aa6283aa6d72796",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.27679073574884,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "05122a53f7b3cba34235e7557234a1eb08746b495c88c0dd6aa6283aa6d72796",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17635443709337884,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "05122a53f7b3cba34235e7557234a1eb08746b495c88c0dd6aa6283aa6d72796",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cd0f1f60b8acee6834efea178c2f7c4a7e944a95f2df157498c454f9268aa3ac",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.211657215786814,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cd0f1f60b8acee6834efea178c2f7c4a7e944a95f2df157498c454f9268aa3ac",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7971325488416914,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cd0f1f60b8acee6834efea178c2f7c4a7e944a95f2df157498c454f9268aa3ac",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.240099403701144,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cd0f1f60b8acee6834efea178c2f7c4a7e944a95f2df157498c454f9268aa3ac",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.274738271751971,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cd0f1f60b8acee6834efea178c2f7c4a7e944a95f2df157498c454f9268aa3ac",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.295560928729152,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cd0f1f60b8acee6834efea178c2f7c4a7e944a95f2df157498c454f9268aa3ac",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17976159791171145,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cd0f1f60b8acee6834efea178c2f7c4a7e944a95f2df157498c454f9268aa3ac",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "7fd3395d5b871c0ae63a77236561211b36b56daf78e1bb41cd138134fabbcf90",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5344203617196023,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "7fd3395d5b871c0ae63a77236561211b36b56daf78e1bb41cd138134fabbcf90",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "7fd3395d5b871c0ae63a77236561211b36b56daf78e1bb41cd138134fabbcf90",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.4958209015490243,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "7fd3395d5b871c0ae63a77236561211b36b56daf78e1bb41cd138134fabbcf90",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.25296041008974196,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "7fd3395d5b871c0ae63a77236561211b36b56daf78e1bb41cd138134fabbcf90",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8697160757472968,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "7fd3395d5b871c0ae63a77236561211b36b56daf78e1bb41cd138134fabbcf90",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03682784273527302,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "7fd3395d5b871c0ae63a77236561211b36b56daf78e1bb41cd138134fabbcf90",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0530308012951919,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "7976a8a49e969fb66b76f8e708435c60057a89946835b27b23610b8178fc16f3",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5322022625726357,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "7976a8a49e969fb66b76f8e708435c60057a89946835b27b23610b8178fc16f3",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "7976a8a49e969fb66b76f8e708435c60057a89946835b27b23610b8178fc16f3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.49201832747919577,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "7976a8a49e969fb66b76f8e708435c60057a89946835b27b23610b8178fc16f3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.24798355380170622,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "7976a8a49e969fb66b76f8e708435c60057a89946835b27b23610b8178fc16f3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8385167146023049,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "7976a8a49e969fb66b76f8e708435c60057a89946835b27b23610b8178fc16f3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0359613969892887,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "7976a8a49e969fb66b76f8e708435c60057a89946835b27b23610b8178fc16f3",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0122527598713809,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "b972a90ab8c175e3761468ed98dc0c8304bd7ab3a3db99ebc2f9a89a7fb1b3d2",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.530560489096278,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "b972a90ab8c175e3761468ed98dc0c8304bd7ab3a3db99ebc2f9a89a7fb1b3d2",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "b972a90ab8c175e3761468ed98dc0c8304bd7ab3a3db99ebc2f9a89a7fb1b3d2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.4891857130469416,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "b972a90ab8c175e3761468ed98dc0c8304bd7ab3a3db99ebc2f9a89a7fb1b3d2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.24416854538955776,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "b972a90ab8c175e3761468ed98dc0c8304bd7ab3a3db99ebc2f9a89a7fb1b3d2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8440419586391867,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "b972a90ab8c175e3761468ed98dc0c8304bd7ab3a3db99ebc2f9a89a7fb1b3d2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0358353387802254,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "b972a90ab8c175e3761468ed98dc0c8304bd7ab3a3db99ebc2f9a89a7fb1b3d2",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0170525309074885,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e86fd1d5515ffb6e8e8ba1c4a38e0b54b23bd7d8d4d931434a89f116a2186b96",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5611854703791024,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e86fd1d5515ffb6e8e8ba1c4a38e0b54b23bd7d8d4d931434a89f116a2186b96",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e86fd1d5515ffb6e8e8ba1c4a38e0b54b23bd7d8d4d931434a89f116a2186b96",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5203440663784857,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e86fd1d5515ffb6e8e8ba1c4a38e0b54b23bd7d8d4d931434a89f116a2186b96",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26566564664153774,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e86fd1d5515ffb6e8e8ba1c4a38e0b54b23bd7d8d4d931434a89f116a2186b96",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9026479657789928,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e86fd1d5515ffb6e8e8ba1c4a38e0b54b23bd7d8d4d931434a89f116a2186b96",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03868887270990119,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e86fd1d5515ffb6e8e8ba1c4a38e0b54b23bd7d8d4d931434a89f116a2186b96",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0828759860333312,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8bd877ba898c97ef536541644b11905ec70effdbdbc99a230ffb01c32f1a70a9",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5364064804578952,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8bd877ba898c97ef536541644b11905ec70effdbdbc99a230ffb01c32f1a70a9",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8bd877ba898c97ef536541644b11905ec70effdbdbc99a230ffb01c32f1a70a9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.49477554292807696,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8bd877ba898c97ef536541644b11905ec70effdbdbc99a230ffb01c32f1a70a9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2473040158541517,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8bd877ba898c97ef536541644b11905ec70effdbdbc99a230ffb01c32f1a70a9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8420434946567971,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8bd877ba898c97ef536541644b11905ec70effdbdbc99a230ffb01c32f1a70a9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03624023689559069,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8bd877ba898c97ef536541644b11905ec70effdbdbc99a230ffb01c32f1a70a9",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0031558650201984,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "bbc53f4c4ad1ff43390a6743ee051bd3dc5f34d9e37c89e17de8b64350ce607e",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5422864686576858,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "bbc53f4c4ad1ff43390a6743ee051bd3dc5f34d9e37c89e17de8b64350ce607e",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "bbc53f4c4ad1ff43390a6743ee051bd3dc5f34d9e37c89e17de8b64350ce607e",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5023596898697488,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "bbc53f4c4ad1ff43390a6743ee051bd3dc5f34d9e37c89e17de8b64350ce607e",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.24987842943623934,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "bbc53f4c4ad1ff43390a6743ee051bd3dc5f34d9e37c89e17de8b64350ce607e",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8569959617731359,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "bbc53f4c4ad1ff43390a6743ee051bd3dc5f34d9e37c89e17de8b64350ce607e",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036646770609389846,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "bbc53f4c4ad1ff43390a6743ee051bd3dc5f34d9e37c89e17de8b64350ce607e",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0349907906287577,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp1_sp4_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "d89edb6cf57879a925e5e9c11bdf9d35ab3286193a81c5d43d22836881efc2b3",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3835003530740395,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "d89edb6cf57879a925e5e9c11bdf9d35ab3286193a81c5d43d22836881efc2b3",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.592068618320775,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "d89edb6cf57879a925e5e9c11bdf9d35ab3286193a81c5d43d22836881efc2b3",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.299618365249837,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "d89edb6cf57879a925e5e9c11bdf9d35ab3286193a81c5d43d22836881efc2b3",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6989440920230893,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "d89edb6cf57879a925e5e9c11bdf9d35ab3286193a81c5d43d22836881efc2b3",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.207329505362801,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "d89edb6cf57879a925e5e9c11bdf9d35ab3286193a81c5d43d22836881efc2b3",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10306405644927584,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "d89edb6cf57879a925e5e9c11bdf9d35ab3286193a81c5d43d22836881efc2b3",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "000f69e4356dcf2d82c1480a892c2646919fcd6e7ba58c5decf95ac72e3161e1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.366350362887041,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "000f69e4356dcf2d82c1480a892c2646919fcd6e7ba58c5decf95ac72e3161e1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.568437237576531,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "000f69e4356dcf2d82c1480a892c2646919fcd6e7ba58c5decf95ac72e3161e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2790583442597034,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "000f69e4356dcf2d82c1480a892c2646919fcd6e7ba58c5decf95ac72e3161e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6860878648671817,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "000f69e4356dcf2d82c1480a892c2646919fcd6e7ba58c5decf95ac72e3161e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.166545524580825,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "000f69e4356dcf2d82c1480a892c2646919fcd6e7ba58c5decf95ac72e3161e1",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10122514041753031,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "000f69e4356dcf2d82c1480a892c2646919fcd6e7ba58c5decf95ac72e3161e1",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "fc2a6399885fec267d4a45e9bc257f4a0516d71521c0b6385d5e8536a2cbd86d",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.359938001635099,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "fc2a6399885fec267d4a45e9bc257f4a0516d71521c0b6385d5e8536a2cbd86d",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5714718027711052,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "fc2a6399885fec267d4a45e9bc257f4a0516d71521c0b6385d5e8536a2cbd86d",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2839543336047876,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "fc2a6399885fec267d4a45e9bc257f4a0516d71521c0b6385d5e8536a2cbd86d",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6881833827132795,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "fc2a6399885fec267d4a45e9bc257f4a0516d71521c0b6385d5e8536a2cbd86d",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1651300972826246,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "fc2a6399885fec267d4a45e9bc257f4a0516d71521c0b6385d5e8536a2cbd86d",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10145683391192162,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "fc2a6399885fec267d4a45e9bc257f4a0516d71521c0b6385d5e8536a2cbd86d",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "808d4042780f1d8b71be36184ce8e54b8f0c32cafe430753c315aa8e740aff63",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.426759333757087,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "808d4042780f1d8b71be36184ce8e54b8f0c32cafe430753c315aa8e740aff63",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.6330750592499546,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "808d4042780f1d8b71be36184ce8e54b8f0c32cafe430753c315aa8e740aff63",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.3453854246663834,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "808d4042780f1d8b71be36184ce8e54b8f0c32cafe430753c315aa8e740aff63",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7219908130824697,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "808d4042780f1d8b71be36184ce8e54b8f0c32cafe430753c315aa8e740aff63",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.258887999546764,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "808d4042780f1d8b71be36184ce8e54b8f0c32cafe430753c315aa8e740aff63",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10665416002419374,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "808d4042780f1d8b71be36184ce8e54b8f0c32cafe430753c315aa8e740aff63",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8193567ba0aae07b74e13e0cb05a9c1e3c4b702df6d62f6eced4913181f1b054",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3561409783135219,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8193567ba0aae07b74e13e0cb05a9c1e3c4b702df6d62f6eced4913181f1b054",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5582704826082394,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8193567ba0aae07b74e13e0cb05a9c1e3c4b702df6d62f6eced4913181f1b054",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.280082873252112,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8193567ba0aae07b74e13e0cb05a9c1e3c4b702df6d62f6eced4913181f1b054",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6857732805627027,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8193567ba0aae07b74e13e0cb05a9c1e3c4b702df6d62f6eced4913181f1b054",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1687721740176054,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8193567ba0aae07b74e13e0cb05a9c1e3c4b702df6d62f6eced4913181f1b054",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10119415778546963,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "8193567ba0aae07b74e13e0cb05a9c1e3c4b702df6d62f6eced4913181f1b054",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "55e1d73dfcf8ae6f3f3e8c22f44010fcfbbc1202d9612b7c0bccedcd302b7679",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3943523334449202,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "55e1d73dfcf8ae6f3f3e8c22f44010fcfbbc1202d9612b7c0bccedcd302b7679",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.6117312988337338,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "55e1d73dfcf8ae6f3f3e8c22f44010fcfbbc1202d9612b7c0bccedcd302b7679",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.312945434081149,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "55e1d73dfcf8ae6f3f3e8c22f44010fcfbbc1202d9612b7c0bccedcd302b7679",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7041218174163969,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "55e1d73dfcf8ae6f3f3e8c22f44010fcfbbc1202d9612b7c0bccedcd302b7679",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.244055718607609,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "55e1d73dfcf8ae6f3f3e8c22f44010fcfbbc1202d9612b7c0bccedcd302b7679",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.1047218272315684,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "55e1d73dfcf8ae6f3f3e8c22f44010fcfbbc1202d9612b7c0bccedcd302b7679",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "94bc3c345ab6d6ee69327b186d5523eb208aebc60758b8f6c403ba09b73c9cd7",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5839479924881152,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "94bc3c345ab6d6ee69327b186d5523eb208aebc60758b8f6c403ba09b73c9cd7",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "94bc3c345ab6d6ee69327b186d5523eb208aebc60758b8f6c403ba09b73c9cd7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5416981233156807,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "94bc3c345ab6d6ee69327b186d5523eb208aebc60758b8f6c403ba09b73c9cd7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26254050694848985,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "94bc3c345ab6d6ee69327b186d5523eb208aebc60758b8f6c403ba09b73c9cd7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8864613469977525,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "94bc3c345ab6d6ee69327b186d5523eb208aebc60758b8f6c403ba09b73c9cd7",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.04020563829553668,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "94bc3c345ab6d6ee69327b186d5523eb208aebc60758b8f6c403ba09b73c9cd7",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0769210118211892,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2dc6dbe8a65415bda738ff5d5416405ffd96dd3426b8c3a09a4de80a3b4ba5ca",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5477971801881173,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2dc6dbe8a65415bda738ff5d5416405ffd96dd3426b8c3a09a4de80a3b4ba5ca",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2dc6dbe8a65415bda738ff5d5416405ffd96dd3426b8c3a09a4de80a3b4ba5ca",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5101431741101761,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2dc6dbe8a65415bda738ff5d5416405ffd96dd3426b8c3a09a4de80a3b4ba5ca",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2516965966237752,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2dc6dbe8a65415bda738ff5d5416405ffd96dd3426b8c3a09a4de80a3b4ba5ca",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8262655646028503,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2dc6dbe8a65415bda738ff5d5416405ffd96dd3426b8c3a09a4de80a3b4ba5ca",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03868397861185496,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2dc6dbe8a65415bda738ff5d5416405ffd96dd3426b8c3a09a4de80a3b4ba5ca",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9920833771758524,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ef56f3053a4a5bf6ed4fd8f0e7baab7f2661d23168abbe080121ca025bcda1d",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5581608397066129,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ef56f3053a4a5bf6ed4fd8f0e7baab7f2661d23168abbe080121ca025bcda1d",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ef56f3053a4a5bf6ed4fd8f0e7baab7f2661d23168abbe080121ca025bcda1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.519528268554437,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ef56f3053a4a5bf6ed4fd8f0e7baab7f2661d23168abbe080121ca025bcda1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.25565914306747706,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ef56f3053a4a5bf6ed4fd8f0e7baab7f2661d23168abbe080121ca025bcda1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8403628085325854,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ef56f3053a4a5bf6ed4fd8f0e7baab7f2661d23168abbe080121ca025bcda1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03921697475791222,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ef56f3053a4a5bf6ed4fd8f0e7baab7f2661d23168abbe080121ca025bcda1d",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0031995093878059,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e00626d4bd26cb06680837952c928b4c8e64d98693b194ff79dab0bb69e85b53",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5859644496457459,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e00626d4bd26cb06680837952c928b4c8e64d98693b194ff79dab0bb69e85b53",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e00626d4bd26cb06680837952c928b4c8e64d98693b194ff79dab0bb69e85b53",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5467112536838278,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e00626d4bd26cb06680837952c928b4c8e64d98693b194ff79dab0bb69e85b53",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2686995317856551,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e00626d4bd26cb06680837952c928b4c8e64d98693b194ff79dab0bb69e85b53",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8978704661892118,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e00626d4bd26cb06680837952c928b4c8e64d98693b194ff79dab0bb69e85b53",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0407991436108822,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "e00626d4bd26cb06680837952c928b4c8e64d98693b194ff79dab0bb69e85b53",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.060407352756552,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "540086cb0ac36ef8a7b678451bcf73744288edd13b57165bef0671c4a4afad1d",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5602524176249846,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "540086cb0ac36ef8a7b678451bcf73744288edd13b57165bef0671c4a4afad1d",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "540086cb0ac36ef8a7b678451bcf73744288edd13b57165bef0671c4a4afad1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5169556502422623,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "540086cb0ac36ef8a7b678451bcf73744288edd13b57165bef0671c4a4afad1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2527135335953757,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "540086cb0ac36ef8a7b678451bcf73744288edd13b57165bef0671c4a4afad1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8490865047598223,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "540086cb0ac36ef8a7b678451bcf73744288edd13b57165bef0671c4a4afad1d",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.039192228207623074,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "540086cb0ac36ef8a7b678451bcf73744288edd13b57165bef0671c4a4afad1d",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0082393351808245,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "8f1c166de55def636b844b9a34970373685f697576cc5a9e94978ee4e6593bd2",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.558503139637779,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "8f1c166de55def636b844b9a34970373685f697576cc5a9e94978ee4e6593bd2",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "8f1c166de55def636b844b9a34970373685f697576cc5a9e94978ee4e6593bd2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5199628209843332,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "8f1c166de55def636b844b9a34970373685f697576cc5a9e94978ee4e6593bd2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2541503721229651,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "8f1c166de55def636b844b9a34970373685f697576cc5a9e94978ee4e6593bd2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8385001603272941,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "8f1c166de55def636b844b9a34970373685f697576cc5a9e94978ee4e6593bd2",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03933654103843883,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "8f1c166de55def636b844b9a34970373685f697576cc5a9e94978ee4e6593bd2",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9997276347084691,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "a96df3a1bbecd77cfdbda72ae208ad9550acf3aafb439f9e016949df46e6b013",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.1756134884105736,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "a96df3a1bbecd77cfdbda72ae208ad9550acf3aafb439f9e016949df46e6b013",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7915605699257513,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "a96df3a1bbecd77cfdbda72ae208ad9550acf3aafb439f9e016949df46e6b013",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.2036632444776494,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "a96df3a1bbecd77cfdbda72ae208ad9550acf3aafb439f9e016949df46e6b013",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.244644360743199,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "a96df3a1bbecd77cfdbda72ae208ad9550acf3aafb439f9e016949df46e6b013",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.30653796028248,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "a96df3a1bbecd77cfdbda72ae208ad9550acf3aafb439f9e016949df46e6b013",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17492596695672605,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "a96df3a1bbecd77cfdbda72ae208ad9550acf3aafb439f9e016949df46e6b013",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "1fbca6140c1343d9f6150a19e9ef43d908585fcb76f41fab587f6fef3f6d4f6f",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.2156713996687585,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "1fbca6140c1343d9f6150a19e9ef43d908585fcb76f41fab587f6fef3f6d4f6f",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.8172104010584258,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "1fbca6140c1343d9f6150a19e9ef43d908585fcb76f41fab587f6fef3f6d4f6f",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.229075274647023,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "1fbca6140c1343d9f6150a19e9ef43d908585fcb76f41fab587f6fef3f6d4f6f",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2608358193363391,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "1fbca6140c1343d9f6150a19e9ef43d908585fcb76f41fab587f6fef3f6d4f6f",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.27536314430922,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "1fbca6140c1343d9f6150a19e9ef43d908585fcb76f41fab587f6fef3f6d4f6f",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.1772096370618592,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "1fbca6140c1343d9f6150a19e9ef43d908585fcb76f41fab587f6fef3f6d4f6f",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f9720b2f12b43e3b617931d8b02f8390422603822db7eeeba13cb44c0ba66518",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.1734574285858987,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f9720b2f12b43e3b617931d8b02f8390422603822db7eeeba13cb44c0ba66518",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7883449622064291,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f9720b2f12b43e3b617931d8b02f8390422603822db7eeeba13cb44c0ba66518",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.1782331876818795,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f9720b2f12b43e3b617931d8b02f8390422603822db7eeeba13cb44c0ba66518",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2390501051344502,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f9720b2f12b43e3b617931d8b02f8390422603822db7eeeba13cb44c0ba66518",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.295489144491733,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f9720b2f12b43e3b617931d8b02f8390422603822db7eeeba13cb44c0ba66518",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.1735658229192714,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f9720b2f12b43e3b617931d8b02f8390422603822db7eeeba13cb44c0ba66518",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "cf1a531a917e3712af7cc8d451cad09264a8fbab2f88bc3d9793d19ec33c2d8b",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.2260127282170803,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "cf1a531a917e3712af7cc8d451cad09264a8fbab2f88bc3d9793d19ec33c2d8b",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.8360288074150648,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "cf1a531a917e3712af7cc8d451cad09264a8fbab2f88bc3d9793d19ec33c2d8b",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.2367625645201112,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "cf1a531a917e3712af7cc8d451cad09264a8fbab2f88bc3d9793d19ec33c2d8b",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2652416026273032,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "cf1a531a917e3712af7cc8d451cad09264a8fbab2f88bc3d9793d19ec33c2d8b",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.3353725112255552,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "cf1a531a917e3712af7cc8d451cad09264a8fbab2f88bc3d9793d19ec33c2d8b",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17783428096386425,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "cf1a531a917e3712af7cc8d451cad09264a8fbab2f88bc3d9793d19ec33c2d8b",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "78c338b2f09edc27a488b18b2fe5ef14130c9cfb4e72059bd4c190a9bc6caf53",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.2415725469466925,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "78c338b2f09edc27a488b18b2fe5ef14130c9cfb4e72059bd4c190a9bc6caf53",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.8264943043538897,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "78c338b2f09edc27a488b18b2fe5ef14130c9cfb4e72059bd4c190a9bc6caf53",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.211787611791812,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "78c338b2f09edc27a488b18b2fe5ef14130c9cfb4e72059bd4c190a9bc6caf53",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2595104598151714,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "78c338b2f09edc27a488b18b2fe5ef14130c9cfb4e72059bd4c190a9bc6caf53",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.316524434138348,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "78c338b2f09edc27a488b18b2fe5ef14130c9cfb4e72059bd4c190a9bc6caf53",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17689926186275814,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "78c338b2f09edc27a488b18b2fe5ef14130c9cfb4e72059bd4c190a9bc6caf53",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "13a65d81d3fa6b174735394be512a00a9208f299f64fbcef663ba77c6de4bae1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.207092316864765,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "13a65d81d3fa6b174735394be512a00a9208f299f64fbcef663ba77c6de4bae1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.8348846800600342,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "13a65d81d3fa6b174735394be512a00a9208f299f64fbcef663ba77c6de4bae1",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.205001195942116,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "13a65d81d3fa6b174735394be512a00a9208f299f64fbcef663ba77c6de4bae1",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2512643444731313,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "13a65d81d3fa6b174735394be512a00a9208f299f64fbcef663ba77c6de4bae1",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.212688091129608,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "13a65d81d3fa6b174735394be512a00a9208f299f64fbcef663ba77c6de4bae1",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17576118185171458,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "13a65d81d3fa6b174735394be512a00a9208f299f64fbcef663ba77c6de4bae1",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1caa9cd163753f0909cf92dfa8b835e533d77dec17d7a1d599a7ed93f5a1d36c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5523375506991235,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1caa9cd163753f0909cf92dfa8b835e533d77dec17d7a1d599a7ed93f5a1d36c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1caa9cd163753f0909cf92dfa8b835e533d77dec17d7a1d599a7ed93f5a1d36c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5131340219156606,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1caa9cd163753f0909cf92dfa8b835e533d77dec17d7a1d599a7ed93f5a1d36c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26243908689550133,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1caa9cd163753f0909cf92dfa8b835e533d77dec17d7a1d599a7ed93f5a1d36c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8944321802494004,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1caa9cd163753f0909cf92dfa8b835e533d77dec17d7a1d599a7ed93f5a1d36c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.038026192856499386,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1caa9cd163753f0909cf92dfa8b835e533d77dec17d7a1d599a7ed93f5a1d36c",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0825531020025068,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58fc084e6cc9eb763dfb53a8a2f9a50d1865a86b8f2822101b7539961d8b9aa1",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5388769073014147,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58fc084e6cc9eb763dfb53a8a2f9a50d1865a86b8f2822101b7539961d8b9aa1",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58fc084e6cc9eb763dfb53a8a2f9a50d1865a86b8f2822101b7539961d8b9aa1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5000035976819059,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58fc084e6cc9eb763dfb53a8a2f9a50d1865a86b8f2822101b7539961d8b9aa1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2513798922969463,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58fc084e6cc9eb763dfb53a8a2f9a50d1865a86b8f2822101b7539961d8b9aa1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8528898171902366,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58fc084e6cc9eb763dfb53a8a2f9a50d1865a86b8f2822101b7539961d8b9aa1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036438266634250704,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58fc084e6cc9eb763dfb53a8a2f9a50d1865a86b8f2822101b7539961d8b9aa1",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0109385550726941,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "29e4003d44585e3a3d88e8634b0567baad59df7fe4c0b065f0add0b52bf1181c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5356925635994518,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "29e4003d44585e3a3d88e8634b0567baad59df7fe4c0b065f0add0b52bf1181c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "29e4003d44585e3a3d88e8634b0567baad59df7fe4c0b065f0add0b52bf1181c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.4962405858070907,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "29e4003d44585e3a3d88e8634b0567baad59df7fe4c0b065f0add0b52bf1181c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2507582512875746,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "29e4003d44585e3a3d88e8634b0567baad59df7fe4c0b065f0add0b52bf1181c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8475177953910534,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "29e4003d44585e3a3d88e8634b0567baad59df7fe4c0b065f0add0b52bf1181c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0362362580731033,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "29e4003d44585e3a3d88e8634b0567baad59df7fe4c0b065f0add0b52bf1181c",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.013563523511756,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "273aadbd9a1f7c8a10e8b5d8b32defc2e222e3220811457744a33fc8507c6878",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5657180193063616,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "273aadbd9a1f7c8a10e8b5d8b32defc2e222e3220811457744a33fc8507c6878",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "273aadbd9a1f7c8a10e8b5d8b32defc2e222e3220811457744a33fc8507c6878",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5270422210781173,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "273aadbd9a1f7c8a10e8b5d8b32defc2e222e3220811457744a33fc8507c6878",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2689511170281048,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "273aadbd9a1f7c8a10e8b5d8b32defc2e222e3220811457744a33fc8507c6878",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9184059711545112,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "273aadbd9a1f7c8a10e8b5d8b32defc2e222e3220811457744a33fc8507c6878",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03895398008041769,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "273aadbd9a1f7c8a10e8b5d8b32defc2e222e3220811457744a33fc8507c6878",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0778510185482069,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "59f790b09ed647be4d20a7cd8489bfcb769fdd7ea71487e537c3d7510ac03333",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5404756563809252,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "59f790b09ed647be4d20a7cd8489bfcb769fdd7ea71487e537c3d7510ac03333",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "59f790b09ed647be4d20a7cd8489bfcb769fdd7ea71487e537c3d7510ac03333",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.499698439622174,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "59f790b09ed647be4d20a7cd8489bfcb769fdd7ea71487e537c3d7510ac03333",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2515904055696427,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "59f790b09ed647be4d20a7cd8489bfcb769fdd7ea71487e537c3d7510ac03333",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8430738598351436,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "59f790b09ed647be4d20a7cd8489bfcb769fdd7ea71487e537c3d7510ac03333",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036582169660367383,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "59f790b09ed647be4d20a7cd8489bfcb769fdd7ea71487e537c3d7510ac03333",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.003474050290407,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d586c9d220ae59715a9734f84b1cc6ceaa979a1d03ec8161c204ab7af0043a3f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5433049383668206,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d586c9d220ae59715a9734f84b1cc6ceaa979a1d03ec8161c204ab7af0043a3f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d586c9d220ae59715a9734f84b1cc6ceaa979a1d03ec8161c204ab7af0043a3f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5024987290113849,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d586c9d220ae59715a9734f84b1cc6ceaa979a1d03ec8161c204ab7af0043a3f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.25477973737447607,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d586c9d220ae59715a9734f84b1cc6ceaa979a1d03ec8161c204ab7af0043a3f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8544993694186713,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d586c9d220ae59715a9734f84b1cc6ceaa979a1d03ec8161c204ab7af0043a3f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036825133295901875,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d586c9d220ae59715a9734f84b1cc6ceaa979a1d03ec8161c204ab7af0043a3f",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0214440209241962,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp2_sp2_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "155a8bdd32becf0c783b7d95206a0117db809eb1026ffed1669c2e81c76987a1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.162918771331442,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "155a8bdd32becf0c783b7d95206a0117db809eb1026ffed1669c2e81c76987a1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.75440386419866,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "155a8bdd32becf0c783b7d95206a0117db809eb1026ffed1669c2e81c76987a1",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.2590952870091328,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "155a8bdd32becf0c783b7d95206a0117db809eb1026ffed1669c2e81c76987a1",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2820548039661557,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "155a8bdd32becf0c783b7d95206a0117db809eb1026ffed1669c2e81c76987a1",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.238872872633118,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "155a8bdd32becf0c783b7d95206a0117db809eb1026ffed1669c2e81c76987a1",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.180239022118582,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "155a8bdd32becf0c783b7d95206a0117db809eb1026ffed1669c2e81c76987a1",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2d07940fff6d80535735ace43a6174e249f0aa8935af9491f566aebcd0d4b744",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.384199669670615,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2d07940fff6d80535735ace43a6174e249f0aa8935af9491f566aebcd0d4b744",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7281216027160498,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2d07940fff6d80535735ace43a6174e249f0aa8935af9491f566aebcd0d4b744",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.216295193676782,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2d07940fff6d80535735ace43a6174e249f0aa8935af9491f566aebcd0d4b744",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.271930562145488,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2d07940fff6d80535735ace43a6174e249f0aa8935af9491f566aebcd0d4b744",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.246548332926254,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2d07940fff6d80535735ace43a6174e249f0aa8935af9491f566aebcd0d4b744",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17857232193803477,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2d07940fff6d80535735ace43a6174e249f0aa8935af9491f566aebcd0d4b744",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "a0881cf129376947be6e3f6a8de882fbfa23a2eabc8dd5a232ee95d79d23977c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.168140049957391,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "a0881cf129376947be6e3f6a8de882fbfa23a2eabc8dd5a232ee95d79d23977c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7667413659004192,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "a0881cf129376947be6e3f6a8de882fbfa23a2eabc8dd5a232ee95d79d23977c",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.263218043485183,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "a0881cf129376947be6e3f6a8de882fbfa23a2eabc8dd5a232ee95d79d23977c",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2832623250612798,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "a0881cf129376947be6e3f6a8de882fbfa23a2eabc8dd5a232ee95d79d23977c",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.2519098344674195,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "a0881cf129376947be6e3f6a8de882fbfa23a2eabc8dd5a232ee95d79d23977c",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.18031649824387402,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "a0881cf129376947be6e3f6a8de882fbfa23a2eabc8dd5a232ee95d79d23977c",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d6cc4022b806faaad8f5c876d1a8acbbb979e0c83ee5b12288f7a2d225aca54a",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.131148017813715,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d6cc4022b806faaad8f5c876d1a8acbbb979e0c83ee5b12288f7a2d225aca54a",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.764598281122126,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d6cc4022b806faaad8f5c876d1a8acbbb979e0c83ee5b12288f7a2d225aca54a",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.22113001348086,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d6cc4022b806faaad8f5c876d1a8acbbb979e0c83ee5b12288f7a2d225aca54a",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2599356415462175,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d6cc4022b806faaad8f5c876d1a8acbbb979e0c83ee5b12288f7a2d225aca54a",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.2320762957574067,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d6cc4022b806faaad8f5c876d1a8acbbb979e0c83ee5b12288f7a2d225aca54a",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17701641374370888,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "d6cc4022b806faaad8f5c876d1a8acbbb979e0c83ee5b12288f7a2d225aca54a",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "2cfe400a40c4feba21815364390faa9f6bdfd623790864af32ed296c830d11ba",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.9478225662358812,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "2cfe400a40c4feba21815364390faa9f6bdfd623790864af32ed296c830d11ba",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 2.4071660212329538,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "2cfe400a40c4feba21815364390faa9f6bdfd623790864af32ed296c830d11ba",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 3.06404162320531,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "2cfe400a40c4feba21815364390faa9f6bdfd623790864af32ed296c830d11ba",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.7349789843886616,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "2cfe400a40c4feba21815364390faa9f6bdfd623790864af32ed296c830d11ba",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 3.111179996151812,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "2cfe400a40c4feba21815364390faa9f6bdfd623790864af32ed296c830d11ba",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.2447736564304361,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "2cfe400a40c4feba21815364390faa9f6bdfd623790864af32ed296c830d11ba",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "5b4f475fce502bd271aaaa18e487ed9106add90278966b976f2ef1b5ecac7b23",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 2.116927060407032,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "5b4f475fce502bd271aaaa18e487ed9106add90278966b976f2ef1b5ecac7b23",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.7546308177338,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "5b4f475fce502bd271aaaa18e487ed9106add90278966b976f2ef1b5ecac7b23",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 2.2213231174939096,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "5b4f475fce502bd271aaaa18e487ed9106add90278966b976f2ef1b5ecac7b23",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 1.2611833383571243,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "5b4f475fce502bd271aaaa18e487ed9106add90278966b976f2ef1b5ecac7b23",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.235546029794785,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "5b4f475fce502bd271aaaa18e487ed9106add90278966b976f2ef1b5ecac7b23",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.17685573755103726,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "5b4f475fce502bd271aaaa18e487ed9106add90278966b976f2ef1b5ecac7b23",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "93d6b5d1e12576f23d81832896a6152c034b94b8b3e321999e58b974bc46d4b4",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5493294739490592,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "93d6b5d1e12576f23d81832896a6152c034b94b8b3e321999e58b974bc46d4b4",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "93d6b5d1e12576f23d81832896a6152c034b94b8b3e321999e58b974bc46d4b4",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5089881508259754,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "93d6b5d1e12576f23d81832896a6152c034b94b8b3e321999e58b974bc46d4b4",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2587314419990546,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "93d6b5d1e12576f23d81832896a6152c034b94b8b3e321999e58b974bc46d4b4",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8912853888955021,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "93d6b5d1e12576f23d81832896a6152c034b94b8b3e321999e58b974bc46d4b4",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03783969119621885,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "93d6b5d1e12576f23d81832896a6152c034b94b8b3e321999e58b974bc46d4b4",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0999651130631094,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "73e99f2b62178d458e19dc87efc1e5b3b51a5a9325c1168ff8c3542d48d55b20",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.529404060238761,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "73e99f2b62178d458e19dc87efc1e5b3b51a5a9325c1168ff8c3542d48d55b20",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "73e99f2b62178d458e19dc87efc1e5b3b51a5a9325c1168ff8c3542d48d55b20",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.4886893534229785,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "73e99f2b62178d458e19dc87efc1e5b3b51a5a9325c1168ff8c3542d48d55b20",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2445275061832791,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "73e99f2b62178d458e19dc87efc1e5b3b51a5a9325c1168ff8c3542d48d55b20",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8370787546923938,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "73e99f2b62178d458e19dc87efc1e5b3b51a5a9325c1168ff8c3542d48d55b20",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03583695689333952,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "73e99f2b62178d458e19dc87efc1e5b3b51a5a9325c1168ff8c3542d48d55b20",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.003361260576597,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "d1c2c76d4818d1eda278852e5fa5d50ea2fa72607ba8001236f15bcc8e34a6c1",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5363446270763982,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "d1c2c76d4818d1eda278852e5fa5d50ea2fa72607ba8001236f15bcc8e34a6c1",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "d1c2c76d4818d1eda278852e5fa5d50ea2fa72607ba8001236f15bcc8e34a6c1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.4951051366045792,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "d1c2c76d4818d1eda278852e5fa5d50ea2fa72607ba8001236f15bcc8e34a6c1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2476447288879034,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "d1c2c76d4818d1eda278852e5fa5d50ea2fa72607ba8001236f15bcc8e34a6c1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8507353806631225,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "d1c2c76d4818d1eda278852e5fa5d50ea2fa72607ba8001236f15bcc8e34a6c1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03618455374335494,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "d1c2c76d4818d1eda278852e5fa5d50ea2fa72607ba8001236f15bcc8e34a6c1",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0184916911456325,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "68df8d5b00ea72320c460ceede00fae05347814d9d01bf862090b46a02a0135c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5490139168822913,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "68df8d5b00ea72320c460ceede00fae05347814d9d01bf862090b46a02a0135c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "68df8d5b00ea72320c460ceede00fae05347814d9d01bf862090b46a02a0135c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.510031580568803,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "68df8d5b00ea72320c460ceede00fae05347814d9d01bf862090b46a02a0135c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2593643261447956,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "68df8d5b00ea72320c460ceede00fae05347814d9d01bf862090b46a02a0135c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8790749473902416,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "68df8d5b00ea72320c460ceede00fae05347814d9d01bf862090b46a02a0135c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0379163402664303,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "68df8d5b00ea72320c460ceede00fae05347814d9d01bf862090b46a02a0135c",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.04824102953245,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "fae3ddb5dfb539e378db0a1f36123c4eb8c9a84e4580a75497129aca3a132c7c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5345013396975512,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "fae3ddb5dfb539e378db0a1f36123c4eb8c9a84e4580a75497129aca3a132c7c",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "fae3ddb5dfb539e378db0a1f36123c4eb8c9a84e4580a75497129aca3a132c7c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.4922287286257506,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "fae3ddb5dfb539e378db0a1f36123c4eb8c9a84e4580a75497129aca3a132c7c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.24679636244645634,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "fae3ddb5dfb539e378db0a1f36123c4eb8c9a84e4580a75497129aca3a132c7c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8431435424329898,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "fae3ddb5dfb539e378db0a1f36123c4eb8c9a84e4580a75497129aca3a132c7c",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03618258216764635,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "fae3ddb5dfb539e378db0a1f36123c4eb8c9a84e4580a75497129aca3a132c7c",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0044465075444338,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "88e3e7e00ebd89c32e473adf1e0ad3cfbf4e4ba3f958aa1fd98da7d3eabebb10",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5414704648702308,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "88e3e7e00ebd89c32e473adf1e0ad3cfbf4e4ba3f958aa1fd98da7d3eabebb10",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "88e3e7e00ebd89c32e473adf1e0ad3cfbf4e4ba3f958aa1fd98da7d3eabebb10",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.49879867467388245,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "88e3e7e00ebd89c32e473adf1e0ad3cfbf4e4ba3f958aa1fd98da7d3eabebb10",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2488562625162165,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "88e3e7e00ebd89c32e473adf1e0ad3cfbf4e4ba3f958aa1fd98da7d3eabebb10",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8584161013937925,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "88e3e7e00ebd89c32e473adf1e0ad3cfbf4e4ba3f958aa1fd98da7d3eabebb10",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03658215303984074,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "480x832_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "88e3e7e00ebd89c32e473adf1e0ad3cfbf4e4ba3f958aa1fd98da7d3eabebb10",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0207917697207936,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_480x832_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "17b22e6ddb517cded7f93ba0b96c082677824689bc385ea1c0a4bce1321b34d0",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5798987901370408,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "17b22e6ddb517cded7f93ba0b96c082677824689bc385ea1c0a4bce1321b34d0",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.7091664800764851,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "17b22e6ddb517cded7f93ba0b96c082677824689bc385ea1c0a4bce1321b34d0",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5431186655562554,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "17b22e6ddb517cded7f93ba0b96c082677824689bc385ea1c0a4bce1321b34d0",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2850946651364313,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "17b22e6ddb517cded7f93ba0b96c082677824689bc385ea1c0a4bce1321b34d0",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9631573989756091,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "17b22e6ddb517cded7f93ba0b96c082677824689bc385ea1c0a4bce1321b34d0",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.040467698384040775,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "17b22e6ddb517cded7f93ba0b96c082677824689bc385ea1c0a4bce1321b34d0",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9e6e434533045f9f833b1744fa86073485a09f159664bbc78d9b3442b21830b1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5763070048453581,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9e6e434533045f9f833b1744fa86073485a09f159664bbc78d9b3442b21830b1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.7051830079476084,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9e6e434533045f9f833b1744fa86073485a09f159664bbc78d9b3442b21830b1",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5396636761591295,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9e6e434533045f9f833b1744fa86073485a09f159664bbc78d9b3442b21830b1",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.283485619793736,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9e6e434533045f9f833b1744fa86073485a09f159664bbc78d9b3442b21830b1",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9565107359335053,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9e6e434533045f9f833b1744fa86073485a09f159664bbc78d9b3442b21830b1",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.04022954964458398,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9e6e434533045f9f833b1744fa86073485a09f159664bbc78d9b3442b21830b1",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "47a66ae0e58938fd98068f3130d6e359d6e0479a0f3d4c2f08ee1c9e8be36bee",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5756158027137729,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "47a66ae0e58938fd98068f3130d6e359d6e0479a0f3d4c2f08ee1c9e8be36bee",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.7048143301429536,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "47a66ae0e58938fd98068f3130d6e359d6e0479a0f3d4c2f08ee1c9e8be36bee",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5408309784221833,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "47a66ae0e58938fd98068f3130d6e359d6e0479a0f3d4c2f08ee1c9e8be36bee",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2837038700388807,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "47a66ae0e58938fd98068f3130d6e359d6e0479a0f3d4c2f08ee1c9e8be36bee",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9629491302341945,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "47a66ae0e58938fd98068f3130d6e359d6e0479a0f3d4c2f08ee1c9e8be36bee",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.040294075666642115,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "47a66ae0e58938fd98068f3130d6e359d6e0479a0f3d4c2f08ee1c9e8be36bee",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b25c4fd3df994547344080f18e2d3b59246abcbf68ae43d9ec679ea8dbc5027a",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5823409621427746,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b25c4fd3df994547344080f18e2d3b59246abcbf68ae43d9ec679ea8dbc5027a",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.7134724864009871,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b25c4fd3df994547344080f18e2d3b59246abcbf68ae43d9ec679ea8dbc5027a",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5455950192642641,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b25c4fd3df994547344080f18e2d3b59246abcbf68ae43d9ec679ea8dbc5027a",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2864259833590656,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b25c4fd3df994547344080f18e2d3b59246abcbf68ae43d9ec679ea8dbc5027a",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9618579945903813,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b25c4fd3df994547344080f18e2d3b59246abcbf68ae43d9ec679ea8dbc5027a",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.04066412369268982,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "b25c4fd3df994547344080f18e2d3b59246abcbf68ae43d9ec679ea8dbc5027a",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "dba197aa0fa4aeeabe38fa0d51290cfa26d74d31a49409ad21ec6c4ef3778c62",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5774968962493356,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "dba197aa0fa4aeeabe38fa0d51290cfa26d74d31a49409ad21ec6c4ef3778c62",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.7090927319089602,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "dba197aa0fa4aeeabe38fa0d51290cfa26d74d31a49409ad21ec6c4ef3778c62",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5411626478328736,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "dba197aa0fa4aeeabe38fa0d51290cfa26d74d31a49409ad21ec6c4ef3778c62",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2841140845957295,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "dba197aa0fa4aeeabe38fa0d51290cfa26d74d31a49409ad21ec6c4ef3778c62",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9655917274555201,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "dba197aa0fa4aeeabe38fa0d51290cfa26d74d31a49409ad21ec6c4ef3778c62",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.040343716084359736,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "dba197aa0fa4aeeabe38fa0d51290cfa26d74d31a49409ad21ec6c4ef3778c62",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d87c4fcb9274e3d134b319851b682d74f8e1e41ca59619a3a1ee19c290a092ea",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5805890789790852,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d87c4fcb9274e3d134b319851b682d74f8e1e41ca59619a3a1ee19c290a092ea",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.7086964557229446,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d87c4fcb9274e3d134b319851b682d74f8e1e41ca59619a3a1ee19c290a092ea",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.543382610131201,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d87c4fcb9274e3d134b319851b682d74f8e1e41ca59619a3a1ee19c290a092ea",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.28540084975597574,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d87c4fcb9274e3d134b319851b682d74f8e1e41ca59619a3a1ee19c290a092ea",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9641617980766665,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d87c4fcb9274e3d134b319851b682d74f8e1e41ca59619a3a1ee19c290a092ea",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.04052176040028964,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "d87c4fcb9274e3d134b319851b682d74f8e1e41ca59619a3a1ee19c290a092ea",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "bbabaf27bb460c0b5ee1fbc07b45eb183b5af27ea167ff5fe5f5fce12bc12991",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5708473486594623,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "bbabaf27bb460c0b5ee1fbc07b45eb183b5af27ea167ff5fe5f5fce12bc12991",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "bbabaf27bb460c0b5ee1fbc07b45eb183b5af27ea167ff5fe5f5fce12bc12991",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.525503331260483,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "bbabaf27bb460c0b5ee1fbc07b45eb183b5af27ea167ff5fe5f5fce12bc12991",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2736312882829333,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "bbabaf27bb460c0b5ee1fbc07b45eb183b5af27ea167ff5fe5f5fce12bc12991",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8518028193226823,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "bbabaf27bb460c0b5ee1fbc07b45eb183b5af27ea167ff5fe5f5fce12bc12991",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03891409498774823,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "bbabaf27bb460c0b5ee1fbc07b45eb183b5af27ea167ff5fe5f5fce12bc12991",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0125574490558717,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "06f30a9a9db470ba210c5f4cdeea82fe97471dc29e8e6cca9ce809f4cae59988",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5582710015139354,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "06f30a9a9db470ba210c5f4cdeea82fe97471dc29e8e6cca9ce809f4cae59988",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "06f30a9a9db470ba210c5f4cdeea82fe97471dc29e8e6cca9ce809f4cae59988",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5208947736257594,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "06f30a9a9db470ba210c5f4cdeea82fe97471dc29e8e6cca9ce809f4cae59988",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.267717591758022,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "06f30a9a9db470ba210c5f4cdeea82fe97471dc29e8e6cca9ce809f4cae59988",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9073030504178666,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "06f30a9a9db470ba210c5f4cdeea82fe97471dc29e8e6cca9ce809f4cae59988",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9983782695129305,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "cb2fbc173d303add6c2d01f02a6d8b4f37624b29f578893e4c62adb567d3bfc1",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.55492154803485,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "cb2fbc173d303add6c2d01f02a6d8b4f37624b29f578893e4c62adb567d3bfc1",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "cb2fbc173d303add6c2d01f02a6d8b4f37624b29f578893e4c62adb567d3bfc1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.51576495297026,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "cb2fbc173d303add6c2d01f02a6d8b4f37624b29f578893e4c62adb567d3bfc1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26636134341442164,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "cb2fbc173d303add6c2d01f02a6d8b4f37624b29f578893e4c62adb567d3bfc1",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8965575675495295,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "cb2fbc173d303add6c2d01f02a6d8b4f37624b29f578893e4c62adb567d3bfc1",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9998674990296802,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8c1e5eb5dd20cbba0e847533f94f341dbc079def38a7e2ab09671ceda795338a",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5816485700621393,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8c1e5eb5dd20cbba0e847533f94f341dbc079def38a7e2ab09671ceda795338a",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8c1e5eb5dd20cbba0e847533f94f341dbc079def38a7e2ab09671ceda795338a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5387006027324003,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8c1e5eb5dd20cbba0e847533f94f341dbc079def38a7e2ab09671ceda795338a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.279878618506374,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8c1e5eb5dd20cbba0e847533f94f341dbc079def38a7e2ab09671ceda795338a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8638863809084197,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8c1e5eb5dd20cbba0e847533f94f341dbc079def38a7e2ab09671ceda795338a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.04019812294160097,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8c1e5eb5dd20cbba0e847533f94f341dbc079def38a7e2ab09671ceda795338a",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.018728082021273,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3dc10c769a242140d523887b3ae905bc4bc9080c077af55e953f83a314179572",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5599817732697624,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3dc10c769a242140d523887b3ae905bc4bc9080c077af55e953f83a314179572",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3dc10c769a242140d523887b3ae905bc4bc9080c077af55e953f83a314179572",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5233675210807212,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3dc10c769a242140d523887b3ae905bc4bc9080c077af55e953f83a314179572",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2686846714255419,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3dc10c769a242140d523887b3ae905bc4bc9080c077af55e953f83a314179572",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9065812314966517,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3dc10c769a242140d523887b3ae905bc4bc9080c077af55e953f83a314179572",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9966301681556748,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c3179a3ee74b7026aa9dfb01224cc91919bde080478493694d7d6bc8f4ad3191",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5519837748437089,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c3179a3ee74b7026aa9dfb01224cc91919bde080478493694d7d6bc8f4ad3191",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c3179a3ee74b7026aa9dfb01224cc91919bde080478493694d7d6bc8f4ad3191",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5175465818488262,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c3179a3ee74b7026aa9dfb01224cc91919bde080478493694d7d6bc8f4ad3191",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26542881290479914,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c3179a3ee74b7026aa9dfb01224cc91919bde080478493694d7d6bc8f4ad3191",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8980487090674274,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c3179a3ee74b7026aa9dfb01224cc91919bde080478493694d7d6bc8f4ad3191",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9913752772106974,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f144f81393c28892b597b728a414530381d25ee606c5febbd4b9112717ce4753",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7229619111746726,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f144f81393c28892b597b728a414530381d25ee606c5febbd4b9112717ce4753",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8625222335879655,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f144f81393c28892b597b728a414530381d25ee606c5febbd4b9112717ce4753",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6778626002718956,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f144f81393c28892b597b728a414530381d25ee606c5febbd4b9112717ce4753",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.36525972138538887,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f144f81393c28892b597b728a414530381d25ee606c5febbd4b9112717ce4753",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.1893506761723098,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f144f81393c28892b597b728a414530381d25ee606c5febbd4b9112717ce4753",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05054396978114966,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f144f81393c28892b597b728a414530381d25ee606c5febbd4b9112717ce4753",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "d2b4647e3363890034c2156da99d6f7e0783ebab2b6d4f743be95636bf433e8c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7456749912413012,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "d2b4647e3363890034c2156da99d6f7e0783ebab2b6d4f743be95636bf433e8c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.893535429012385,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "d2b4647e3363890034c2156da99d6f7e0783ebab2b6d4f743be95636bf433e8c",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6974685490334109,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "d2b4647e3363890034c2156da99d6f7e0783ebab2b6d4f743be95636bf433e8c",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.37825981451987195,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "d2b4647e3363890034c2156da99d6f7e0783ebab2b6d4f743be95636bf433e8c",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2308857265819106,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "d2b4647e3363890034c2156da99d6f7e0783ebab2b6d4f743be95636bf433e8c",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.052462404173712306,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "d2b4647e3363890034c2156da99d6f7e0783ebab2b6d4f743be95636bf433e8c",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c18c0f21c34b2954c0a1b87153e82dbd7751baf437b273ec1aa2a0d2a7ca3146",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7252796099652268,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c18c0f21c34b2954c0a1b87153e82dbd7751baf437b273ec1aa2a0d2a7ca3146",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8689788698558487,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c18c0f21c34b2954c0a1b87153e82dbd7751baf437b273ec1aa2a0d2a7ca3146",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6842982078024759,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c18c0f21c34b2954c0a1b87153e82dbd7751baf437b273ec1aa2a0d2a7ca3146",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.366763924429579,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c18c0f21c34b2954c0a1b87153e82dbd7751baf437b273ec1aa2a0d2a7ca3146",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.1954609053037393,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c18c0f21c34b2954c0a1b87153e82dbd7751baf437b273ec1aa2a0d2a7ca3146",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.050774239114796255,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c18c0f21c34b2954c0a1b87153e82dbd7751baf437b273ec1aa2a0d2a7ca3146",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "6be6935616c535f817ff0d0a6015d80129991aeeb65c032ad10696b329c28789",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7436137630037545,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "6be6935616c535f817ff0d0a6015d80129991aeeb65c032ad10696b329c28789",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8817811826959427,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "6be6935616c535f817ff0d0a6015d80129991aeeb65c032ad10696b329c28789",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.695017222455557,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "6be6935616c535f817ff0d0a6015d80129991aeeb65c032ad10696b329c28789",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.37470610828963274,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "6be6935616c535f817ff0d0a6015d80129991aeeb65c032ad10696b329c28789",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2241869272113963,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "6be6935616c535f817ff0d0a6015d80129991aeeb65c032ad10696b329c28789",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05196183210199934,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "6be6935616c535f817ff0d0a6015d80129991aeeb65c032ad10696b329c28789",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "6d71b392f0afccb5fee2018e5c06252fcf33d99fa67330cad4f4b795f3f3706a",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7452636183750248,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "6d71b392f0afccb5fee2018e5c06252fcf33d99fa67330cad4f4b795f3f3706a",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8904712988898517,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "6d71b392f0afccb5fee2018e5c06252fcf33d99fa67330cad4f4b795f3f3706a",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6989099273264282,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "6d71b392f0afccb5fee2018e5c06252fcf33d99fa67330cad4f4b795f3f3706a",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.3757361003235183,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "6d71b392f0afccb5fee2018e5c06252fcf33d99fa67330cad4f4b795f3f3706a",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2266655517970393,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "6d71b392f0afccb5fee2018e5c06252fcf33d99fa67330cad4f4b795f3f3706a",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05207059121114246,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "6d71b392f0afccb5fee2018e5c06252fcf33d99fa67330cad4f4b795f3f3706a",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "60784e2dfa962d61161e7db1f879109e6e055ba0ce5f86f14e72b06147cfa543",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7374384980065523,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "60784e2dfa962d61161e7db1f879109e6e055ba0ce5f86f14e72b06147cfa543",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8791903643959872,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "60784e2dfa962d61161e7db1f879109e6e055ba0ce5f86f14e72b06147cfa543",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6917571201231976,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "60784e2dfa962d61161e7db1f879109e6e055ba0ce5f86f14e72b06147cfa543",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.3724406289400752,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "60784e2dfa962d61161e7db1f879109e6e055ba0ce5f86f14e72b06147cfa543",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.212788999000938,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "60784e2dfa962d61161e7db1f879109e6e055ba0ce5f86f14e72b06147cfa543",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05163724945209712,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "60784e2dfa962d61161e7db1f879109e6e055ba0ce5f86f14e72b06147cfa543",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9241d289cfa51ef582ad688b32c4473f16b39e3b01d37e95edad723e88740eda",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5611321810300209,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9241d289cfa51ef582ad688b32c4473f16b39e3b01d37e95edad723e88740eda",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9241d289cfa51ef582ad688b32c4473f16b39e3b01d37e95edad723e88740eda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5186758012245491,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9241d289cfa51ef582ad688b32c4473f16b39e3b01d37e95edad723e88740eda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2707984650986572,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9241d289cfa51ef582ad688b32c4473f16b39e3b01d37e95edad723e88740eda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8439808118042822,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9241d289cfa51ef582ad688b32c4473f16b39e3b01d37e95edad723e88740eda",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.038281548227695535,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9241d289cfa51ef582ad688b32c4473f16b39e3b01d37e95edad723e88740eda",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0191162033461145,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9a2ed056aa037df8c22293193066e1b52179288b44516765e7151e7351b68e2a",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5592245978475601,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9a2ed056aa037df8c22293193066e1b52179288b44516765e7151e7351b68e2a",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9a2ed056aa037df8c22293193066e1b52179288b44516765e7151e7351b68e2a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5185734435958249,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9a2ed056aa037df8c22293193066e1b52179288b44516765e7151e7351b68e2a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2718627757519221,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9a2ed056aa037df8c22293193066e1b52179288b44516765e7151e7351b68e2a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9039972076788017,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9a2ed056aa037df8c22293193066e1b52179288b44516765e7151e7351b68e2a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036538521541205765,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "9a2ed056aa037df8c22293193066e1b52179288b44516765e7151e7351b68e2a",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9989196616965039,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f21dca43f03331401942f1b1859ef9d06976dcae6ba9a4b7a944a90aa333de23",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5570385861262879,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f21dca43f03331401942f1b1859ef9d06976dcae6ba9a4b7a944a90aa333de23",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f21dca43f03331401942f1b1859ef9d06976dcae6ba9a4b7a944a90aa333de23",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5155131504532099,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f21dca43f03331401942f1b1859ef9d06976dcae6ba9a4b7a944a90aa333de23",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.27126929345537254,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f21dca43f03331401942f1b1859ef9d06976dcae6ba9a4b7a944a90aa333de23",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9040851235609765,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f21dca43f03331401942f1b1859ef9d06976dcae6ba9a4b7a944a90aa333de23",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03651641897365376,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "f21dca43f03331401942f1b1859ef9d06976dcae6ba9a4b7a944a90aa333de23",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9975064200326258,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "0ef88f54fb5d01a3bef3c8442366b0ddc71b956619d9108fec812802cb8d9b35",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5696187343009218,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "0ef88f54fb5d01a3bef3c8442366b0ddc71b956619d9108fec812802cb8d9b35",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "0ef88f54fb5d01a3bef3c8442366b0ddc71b956619d9108fec812802cb8d9b35",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5259304566440458,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "0ef88f54fb5d01a3bef3c8442366b0ddc71b956619d9108fec812802cb8d9b35",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.27544140384898863,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "0ef88f54fb5d01a3bef3c8442366b0ddc71b956619d9108fec812802cb8d9b35",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8453489225422794,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "0ef88f54fb5d01a3bef3c8442366b0ddc71b956619d9108fec812802cb8d9b35",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03929124786881051,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "0ef88f54fb5d01a3bef3c8442366b0ddc71b956619d9108fec812802cb8d9b35",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0023131184539293,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "23dcbf35b61bf9f068fde400975532d7d8403b2c8e5796537ce3e73bebb97304",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5589378955299452,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "23dcbf35b61bf9f068fde400975532d7d8403b2c8e5796537ce3e73bebb97304",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "23dcbf35b61bf9f068fde400975532d7d8403b2c8e5796537ce3e73bebb97304",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5189168624309315,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "23dcbf35b61bf9f068fde400975532d7d8403b2c8e5796537ce3e73bebb97304",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2722943829810583,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "23dcbf35b61bf9f068fde400975532d7d8403b2c8e5796537ce3e73bebb97304",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9047258150361444,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "23dcbf35b61bf9f068fde400975532d7d8403b2c8e5796537ce3e73bebb97304",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036668065863464445,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "23dcbf35b61bf9f068fde400975532d7d8403b2c8e5796537ce3e73bebb97304",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9936250456892465,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "384201acc33d0f40532ec231dafca787533d8afd98450ecd89a22c0eb1f61afd",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5579683267756606,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "384201acc33d0f40532ec231dafca787533d8afd98450ecd89a22c0eb1f61afd",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "384201acc33d0f40532ec231dafca787533d8afd98450ecd89a22c0eb1f61afd",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5157192779325828,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "384201acc33d0f40532ec231dafca787533d8afd98450ecd89a22c0eb1f61afd",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.271861919734154,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "384201acc33d0f40532ec231dafca787533d8afd98450ecd89a22c0eb1f61afd",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9036724249201444,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "384201acc33d0f40532ec231dafca787533d8afd98450ecd89a22c0eb1f61afd",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036667352621260606,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "384201acc33d0f40532ec231dafca787533d8afd98450ecd89a22c0eb1f61afd",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9954566017437759,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f074e77a795430c483753f786151ecfd8e0696469e65a0ee415b1c158d73ba5d",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3094439546092966,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f074e77a795430c483753f786151ecfd8e0696469e65a0ee415b1c158d73ba5d",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5513510764779959,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f074e77a795430c483753f786151ecfd8e0696469e65a0ee415b1c158d73ba5d",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.223803549605111,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f074e77a795430c483753f786151ecfd8e0696469e65a0ee415b1c158d73ba5d",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7022052516381025,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f074e77a795430c483753f786151ecfd8e0696469e65a0ee415b1c158d73ba5d",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.111087266676908,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f074e77a795430c483753f786151ecfd8e0696469e65a0ee415b1c158d73ba5d",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.0994436903498386,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "f074e77a795430c483753f786151ecfd8e0696469e65a0ee415b1c158d73ba5d",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "29e8ca2e6a26be89b3403e812982712fa58fc95a68a09f92fc19dfeacf935cef",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.316633047019072,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "29e8ca2e6a26be89b3403e812982712fa58fc95a68a09f92fc19dfeacf935cef",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5549189553463842,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "29e8ca2e6a26be89b3403e812982712fa58fc95a68a09f92fc19dfeacf935cef",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2313789826645467,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "29e8ca2e6a26be89b3403e812982712fa58fc95a68a09f92fc19dfeacf935cef",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7064858337705273,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "29e8ca2e6a26be89b3403e812982712fa58fc95a68a09f92fc19dfeacf935cef",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1249321693577476,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "29e8ca2e6a26be89b3403e812982712fa58fc95a68a09f92fc19dfeacf935cef",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10010626292519247,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "29e8ca2e6a26be89b3403e812982712fa58fc95a68a09f92fc19dfeacf935cef",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c91b75318ce4b90105327410d9f18a9c43e6316519a7521d39533fcc5d233a05",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2833709668351077,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c91b75318ce4b90105327410d9f18a9c43e6316519a7521d39533fcc5d233a05",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.542798002386783,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c91b75318ce4b90105327410d9f18a9c43e6316519a7521d39533fcc5d233a05",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2127838646670885,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c91b75318ce4b90105327410d9f18a9c43e6316519a7521d39533fcc5d233a05",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6970565916314375,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c91b75318ce4b90105327410d9f18a9c43e6316519a7521d39533fcc5d233a05",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0923725024585833,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c91b75318ce4b90105327410d9f18a9c43e6316519a7521d39533fcc5d233a05",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.098669177811952,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "c91b75318ce4b90105327410d9f18a9c43e6316519a7521d39533fcc5d233a05",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "ee5e993223e93b3cc62c90d337f72eff3586309fffbc0dc2984b73efc41077c4",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3088810892453657,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "ee5e993223e93b3cc62c90d337f72eff3586309fffbc0dc2984b73efc41077c4",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5617626957055926,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "ee5e993223e93b3cc62c90d337f72eff3586309fffbc0dc2984b73efc41077c4",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.218414949174608,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "ee5e993223e93b3cc62c90d337f72eff3586309fffbc0dc2984b73efc41077c4",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7001629576157102,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "ee5e993223e93b3cc62c90d337f72eff3586309fffbc0dc2984b73efc41077c4",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1028580799381476,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "ee5e993223e93b3cc62c90d337f72eff3586309fffbc0dc2984b73efc41077c4",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09916211490918597,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "ee5e993223e93b3cc62c90d337f72eff3586309fffbc0dc2984b73efc41077c4",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3208a861c1f1025c62b1f5c4a82d4ccb1f858e5b32cfe5140c2154e9d4e817e7",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3006579222985062,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3208a861c1f1025c62b1f5c4a82d4ccb1f858e5b32cfe5140c2154e9d4e817e7",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5609345256183693,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3208a861c1f1025c62b1f5c4a82d4ccb1f858e5b32cfe5140c2154e9d4e817e7",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2273760286654916,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3208a861c1f1025c62b1f5c4a82d4ccb1f858e5b32cfe5140c2154e9d4e817e7",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7051290448758133,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3208a861c1f1025c62b1f5c4a82d4ccb1f858e5b32cfe5140c2154e9d4e817e7",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.099656423358798,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3208a861c1f1025c62b1f5c4a82d4ccb1f858e5b32cfe5140c2154e9d4e817e7",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09970689083307027,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "3208a861c1f1025c62b1f5c4a82d4ccb1f858e5b32cfe5140c2154e9d4e817e7",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "3846bbcb41ec6297e470bb4708cf9874237288a33d6139a353542388ce4e9cfa",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3182472298331886,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "3846bbcb41ec6297e470bb4708cf9874237288a33d6139a353542388ce4e9cfa",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5865028935598167,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "3846bbcb41ec6297e470bb4708cf9874237288a33d6139a353542388ce4e9cfa",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2463271794008526,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "3846bbcb41ec6297e470bb4708cf9874237288a33d6139a353542388ce4e9cfa",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7143257058491947,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "3846bbcb41ec6297e470bb4708cf9874237288a33d6139a353542388ce4e9cfa",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1369103423255225,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "3846bbcb41ec6297e470bb4708cf9874237288a33d6139a353542388ce4e9cfa",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10119669694059587,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "3846bbcb41ec6297e470bb4708cf9874237288a33d6139a353542388ce4e9cfa",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "093484df65b53e41352779239f9aed33ad8b974795e71b58721c4c22f085e076",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.548376558372371,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "093484df65b53e41352779239f9aed33ad8b974795e71b58721c4c22f085e076",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "093484df65b53e41352779239f9aed33ad8b974795e71b58721c4c22f085e076",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.508002874199617,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "093484df65b53e41352779239f9aed33ad8b974795e71b58721c4c22f085e076",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26688904237492833,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "093484df65b53e41352779239f9aed33ad8b974795e71b58721c4c22f085e076",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8480343909662953,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "093484df65b53e41352779239f9aed33ad8b974795e71b58721c4c22f085e076",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03776035766359639,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "093484df65b53e41352779239f9aed33ad8b974795e71b58721c4c22f085e076",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0233823843044272,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "86927d966e3fa4f59288827ffa86af6324aa2d9e379a9d988d2d813f409cfe97",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5516213759023239,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "86927d966e3fa4f59288827ffa86af6324aa2d9e379a9d988d2d813f409cfe97",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "86927d966e3fa4f59288827ffa86af6324aa2d9e379a9d988d2d813f409cfe97",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5078227458020977,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "86927d966e3fa4f59288827ffa86af6324aa2d9e379a9d988d2d813f409cfe97",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26586086561703026,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "86927d966e3fa4f59288827ffa86af6324aa2d9e379a9d988d2d813f409cfe97",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9089743737994747,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "86927d966e3fa4f59288827ffa86af6324aa2d9e379a9d988d2d813f409cfe97",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036080694982307114,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "86927d966e3fa4f59288827ffa86af6324aa2d9e379a9d988d2d813f409cfe97",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0062200348116734,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ab8d8e91a6d5757a64db4da0bf7d6b02a4ab0fb6c1bc2ca2c2524f9a1e2f113",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5449164697129719,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ab8d8e91a6d5757a64db4da0bf7d6b02a4ab0fb6c1bc2ca2c2524f9a1e2f113",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ab8d8e91a6d5757a64db4da0bf7d6b02a4ab0fb6c1bc2ca2c2524f9a1e2f113",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5052339920827018,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ab8d8e91a6d5757a64db4da0bf7d6b02a4ab0fb6c1bc2ca2c2524f9a1e2f113",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.264385018698567,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ab8d8e91a6d5757a64db4da0bf7d6b02a4ab0fb6c1bc2ca2c2524f9a1e2f113",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9032421691417483,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ab8d8e91a6d5757a64db4da0bf7d6b02a4ab0fb6c1bc2ca2c2524f9a1e2f113",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03583515419565683,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "8ab8d8e91a6d5757a64db4da0bf7d6b02a4ab0fb6c1bc2ca2c2524f9a1e2f113",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0046468175959362,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "468353cb47a9d93b52d299d1edd226524978db730a64597becca38700ad6c050",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5534287271999224,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "468353cb47a9d93b52d299d1edd226524978db730a64597becca38700ad6c050",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "468353cb47a9d93b52d299d1edd226524978db730a64597becca38700ad6c050",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5133910277268011,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "468353cb47a9d93b52d299d1edd226524978db730a64597becca38700ad6c050",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2727250318260284,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "468353cb47a9d93b52d299d1edd226524978db730a64597becca38700ad6c050",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8555869238020211,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "468353cb47a9d93b52d299d1edd226524978db730a64597becca38700ad6c050",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03853694992417673,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "468353cb47a9d93b52d299d1edd226524978db730a64597becca38700ad6c050",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0191157462124794,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "27bba66e339401177aa9c6b9d825fafddb3384893f2f0d2969e35bbc73f0346a",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5510490524200466,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "27bba66e339401177aa9c6b9d825fafddb3384893f2f0d2969e35bbc73f0346a",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "27bba66e339401177aa9c6b9d825fafddb3384893f2f0d2969e35bbc73f0346a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5087397876370399,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "27bba66e339401177aa9c6b9d825fafddb3384893f2f0d2969e35bbc73f0346a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26696635723600415,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "27bba66e339401177aa9c6b9d825fafddb3384893f2f0d2969e35bbc73f0346a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9086529244729228,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "27bba66e339401177aa9c6b9d825fafddb3384893f2f0d2969e35bbc73f0346a",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0362444486795357,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "27bba66e339401177aa9c6b9d825fafddb3384893f2f0d2969e35bbc73f0346a",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.007770425356498,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c13a2d35824f82a1b3fc8dbb06327c7ce15db3234251b7d2cff0a8af1c307d75",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5459053184628976,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c13a2d35824f82a1b3fc8dbb06327c7ce15db3234251b7d2cff0a8af1c307d75",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c13a2d35824f82a1b3fc8dbb06327c7ce15db3234251b7d2cff0a8af1c307d75",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5072342417583848,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c13a2d35824f82a1b3fc8dbb06327c7ce15db3234251b7d2cff0a8af1c307d75",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2657290683645177,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c13a2d35824f82a1b3fc8dbb06327c7ce15db3234251b7d2cff0a8af1c307d75",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9035009868913828,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c13a2d35824f82a1b3fc8dbb06327c7ce15db3234251b7d2cff0a8af1c307d75",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03602229190717213,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp1_sp4",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "c13a2d35824f82a1b3fc8dbb06327c7ce15db3234251b7d2cff0a8af1c307d75",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0067849557695403,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp1_sp4_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0735ad81019b091b2da06b39cda6cfc5249fb8f20eb43f48d285d3be44d555d7",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7220350533617046,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0735ad81019b091b2da06b39cda6cfc5249fb8f20eb43f48d285d3be44d555d7",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8577236846347661,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0735ad81019b091b2da06b39cda6cfc5249fb8f20eb43f48d285d3be44d555d7",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6761840571322179,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0735ad81019b091b2da06b39cda6cfc5249fb8f20eb43f48d285d3be44d555d7",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.36370680871332695,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0735ad81019b091b2da06b39cda6cfc5249fb8f20eb43f48d285d3be44d555d7",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.187321691607646,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0735ad81019b091b2da06b39cda6cfc5249fb8f20eb43f48d285d3be44d555d7",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.050414763162869795,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "0735ad81019b091b2da06b39cda6cfc5249fb8f20eb43f48d285d3be44d555d7",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58d5e9a9d802f32df3756a115f41330c51069d1d05dd0136b3d6217f64a27715",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7866435311126537,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58d5e9a9d802f32df3756a115f41330c51069d1d05dd0136b3d6217f64a27715",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.9381266839978487,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58d5e9a9d802f32df3756a115f41330c51069d1d05dd0136b3d6217f64a27715",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.7349761066337441,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58d5e9a9d802f32df3756a115f41330c51069d1d05dd0136b3d6217f64a27715",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.3947729024953729,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58d5e9a9d802f32df3756a115f41330c51069d1d05dd0136b3d6217f64a27715",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.298619186660317,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58d5e9a9d802f32df3756a115f41330c51069d1d05dd0136b3d6217f64a27715",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05480270477937084,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "58d5e9a9d802f32df3756a115f41330c51069d1d05dd0136b3d6217f64a27715",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "109160fa3b1e7620ee4658de7b72977773f9dc6646d39cc63002b99aae177c19",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.736031277374334,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "109160fa3b1e7620ee4658de7b72977773f9dc6646d39cc63002b99aae177c19",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8748936887286064,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "109160fa3b1e7620ee4658de7b72977773f9dc6646d39cc63002b99aae177c19",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.683400140723654,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "109160fa3b1e7620ee4658de7b72977773f9dc6646d39cc63002b99aae177c19",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.36737736723278397,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "109160fa3b1e7620ee4658de7b72977773f9dc6646d39cc63002b99aae177c19",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2139744009227802,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "109160fa3b1e7620ee4658de7b72977773f9dc6646d39cc63002b99aae177c19",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05130714451771627,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "109160fa3b1e7620ee4658de7b72977773f9dc6646d39cc63002b99aae177c19",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "a26c70edca7af5fc0dba1344035efb4941c7e93d4e84a180a315aac2eaf16774",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7279090804281386,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "a26c70edca7af5fc0dba1344035efb4941c7e93d4e84a180a315aac2eaf16774",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8667726960314911,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "a26c70edca7af5fc0dba1344035efb4941c7e93d4e84a180a315aac2eaf16774",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6811716427989277,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "a26c70edca7af5fc0dba1344035efb4941c7e93d4e84a180a315aac2eaf16774",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.3664698657410607,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "a26c70edca7af5fc0dba1344035efb4941c7e93d4e84a180a315aac2eaf16774",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.2037200066476839,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "a26c70edca7af5fc0dba1344035efb4941c7e93d4e84a180a315aac2eaf16774",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05078104714275422,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "a26c70edca7af5fc0dba1344035efb4941c7e93d4e84a180a315aac2eaf16774",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "486cc86b588b26c28f967af43e268908f7a9d69f830f8cfd32208453d86b3646",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7322479512968368,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "486cc86b588b26c28f967af43e268908f7a9d69f830f8cfd32208453d86b3646",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.8675940138277273,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "486cc86b588b26c28f967af43e268908f7a9d69f830f8cfd32208453d86b3646",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6852009860591459,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "486cc86b588b26c28f967af43e268908f7a9d69f830f8cfd32208453d86b3646",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.3681489125471276,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "486cc86b588b26c28f967af43e268908f7a9d69f830f8cfd32208453d86b3646",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.212775082700333,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "486cc86b588b26c28f967af43e268908f7a9d69f830f8cfd32208453d86b3646",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05105406667259951,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "486cc86b588b26c28f967af43e268908f7a9d69f830f8cfd32208453d86b3646",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "7cd4f059da33243d3f63f5f9b22944f5a0dc3c4d6f1c072507ebdf99529b697e",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 0.7244280260543401,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "7cd4f059da33243d3f63f5f9b22944f5a0dc3c4d6f1c072507ebdf99529b697e",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 0.85992452656014,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "7cd4f059da33243d3f63f5f9b22944f5a0dc3c4d6f1c072507ebdf99529b697e",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 0.6772731947876217,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "7cd4f059da33243d3f63f5f9b22944f5a0dc3c4d6f1c072507ebdf99529b697e",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.3640384631140184,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "7cd4f059da33243d3f63f5f9b22944f5a0dc3c4d6f1c072507ebdf99529b697e",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 1.192134144114943,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "7cd4f059da33243d3f63f5f9b22944f5a0dc3c4d6f1c072507ebdf99529b697e",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.05054253665057421,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "7cd4f059da33243d3f63f5f9b22944f5a0dc3c4d6f1c072507ebdf99529b697e",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1942b6e49006234c89b4756116ad630391a462289e830212cc2de94b922652bc",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5699249576683512,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1942b6e49006234c89b4756116ad630391a462289e830212cc2de94b922652bc",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1942b6e49006234c89b4756116ad630391a462289e830212cc2de94b922652bc",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5230873089755885,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1942b6e49006234c89b4756116ad630391a462289e830212cc2de94b922652bc",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2686303205357892,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1942b6e49006234c89b4756116ad630391a462289e830212cc2de94b922652bc",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8566930988501531,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1942b6e49006234c89b4756116ad630391a462289e830212cc2de94b922652bc",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.038040903109851275,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "1942b6e49006234c89b4756116ad630391a462289e830212cc2de94b922652bc",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.018912077402138,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "8accae9b872863f9f8a4d4846b2aabb33c059875f81ac14f8f142bc513bbaa9f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5567182114269312,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "8accae9b872863f9f8a4d4846b2aabb33c059875f81ac14f8f142bc513bbaa9f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "8accae9b872863f9f8a4d4846b2aabb33c059875f81ac14f8f142bc513bbaa9f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5170578453706011,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "8accae9b872863f9f8a4d4846b2aabb33c059875f81ac14f8f142bc513bbaa9f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2698870078446406,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "8accae9b872863f9f8a4d4846b2aabb33c059875f81ac14f8f142bc513bbaa9f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9094092068085954,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "8accae9b872863f9f8a4d4846b2aabb33c059875f81ac14f8f142bc513bbaa9f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03618777337917448,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "8accae9b872863f9f8a4d4846b2aabb33c059875f81ac14f8f142bc513bbaa9f",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0006785729072296,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "3526e7cda3b94ef9879d813740f5543a54b2b0696aa1da82f0a29bf419348390",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5557101772459642,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "3526e7cda3b94ef9879d813740f5543a54b2b0696aa1da82f0a29bf419348390",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "3526e7cda3b94ef9879d813740f5543a54b2b0696aa1da82f0a29bf419348390",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5165687745119073,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "3526e7cda3b94ef9879d813740f5543a54b2b0696aa1da82f0a29bf419348390",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2668006718448864,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "3526e7cda3b94ef9879d813740f5543a54b2b0696aa1da82f0a29bf419348390",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9099298182656185,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "3526e7cda3b94ef9879d813740f5543a54b2b0696aa1da82f0a29bf419348390",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.0361162248701881,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "3526e7cda3b94ef9879d813740f5543a54b2b0696aa1da82f0a29bf419348390",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0012367596156562,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "40a55d4909cf35a22ef8cc40288cc51d53fe582a2566416e44729b4352268563",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5650290900251681,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "40a55d4909cf35a22ef8cc40288cc51d53fe582a2566416e44729b4352268563",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "40a55d4909cf35a22ef8cc40288cc51d53fe582a2566416e44729b4352268563",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5219960890661957,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "40a55d4909cf35a22ef8cc40288cc51d53fe582a2566416e44729b4352268563",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2710498856027139,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "40a55d4909cf35a22ef8cc40288cc51d53fe582a2566416e44729b4352268563",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8442335733568399,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "40a55d4909cf35a22ef8cc40288cc51d53fe582a2566416e44729b4352268563",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.038360649341372274,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "40a55d4909cf35a22ef8cc40288cc51d53fe582a2566416e44729b4352268563",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0113694953393382,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "021a7a279a2d625728477a242d5c8b69722c1bb285785ac23d035737f8123d52",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5562156510333199,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "021a7a279a2d625728477a242d5c8b69722c1bb285785ac23d035737f8123d52",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "021a7a279a2d625728477a242d5c8b69722c1bb285785ac23d035737f8123d52",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5166956542858168,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "021a7a279a2d625728477a242d5c8b69722c1bb285785ac23d035737f8123d52",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.27007046311724353,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "021a7a279a2d625728477a242d5c8b69722c1bb285785ac23d035737f8123d52",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9075432879533699,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "021a7a279a2d625728477a242d5c8b69722c1bb285785ac23d035737f8123d52",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036255710901264324,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "021a7a279a2d625728477a242d5c8b69722c1bb285785ac23d035737f8123d52",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9967872043559763,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4698eadca6a2653397d095ad62ec4485640deafb4d107fcbad995499a885b6df",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5561215857525809,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4698eadca6a2653397d095ad62ec4485640deafb4d107fcbad995499a885b6df",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4698eadca6a2653397d095ad62ec4485640deafb4d107fcbad995499a885b6df",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5162832933675205,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4698eadca6a2653397d095ad62ec4485640deafb4d107fcbad995499a885b6df",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26945994352730535,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4698eadca6a2653397d095ad62ec4485640deafb4d107fcbad995499a885b6df",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.909782863991232,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4698eadca6a2653397d095ad62ec4485640deafb4d107fcbad995499a885b6df",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036186925486752834,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4698eadca6a2653397d095ad62ec4485640deafb4d107fcbad995499a885b6df",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9997767458169288,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "4bc5c1fab14233a72014e5e031985af156e81333237dc4a4ac6e7bc26c5b866e",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3641092098518182,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "4bc5c1fab14233a72014e5e031985af156e81333237dc4a4ac6e7bc26c5b866e",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.6281224747656473,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "4bc5c1fab14233a72014e5e031985af156e81333237dc4a4ac6e7bc26c5b866e",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2805833973102558,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "4bc5c1fab14233a72014e5e031985af156e81333237dc4a4ac6e7bc26c5b866e",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7402675517397497,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "4bc5c1fab14233a72014e5e031985af156e81333237dc4a4ac6e7bc26c5b866e",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.216015917928373,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "4bc5c1fab14233a72014e5e031985af156e81333237dc4a4ac6e7bc26c5b866e",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10471372300719531,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "4bc5c1fab14233a72014e5e031985af156e81333237dc4a4ac6e7bc26c5b866e",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "6643639fbcd70af17f86431ff264d1a6e1967e14a952932aa9222134219c2656",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2428927187340923,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "6643639fbcd70af17f86431ff264d1a6e1967e14a952932aa9222134219c2656",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.4690572302200642,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "6643639fbcd70af17f86431ff264d1a6e1967e14a952932aa9222134219c2656",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.1674893498014929,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "6643639fbcd70af17f86431ff264d1a6e1967e14a952932aa9222134219c2656",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6728735396721237,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "6643639fbcd70af17f86431ff264d1a6e1967e14a952932aa9222134219c2656",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0112230267554705,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "6643639fbcd70af17f86431ff264d1a6e1967e14a952932aa9222134219c2656",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09516197854896245,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "6643639fbcd70af17f86431ff264d1a6e1967e14a952932aa9222134219c2656",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "51f88f545930e010a4cf870dfd7dc15dcbad5bce76dc50abb16b54c2fc8f2939",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2466130059521083,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "51f88f545930e010a4cf870dfd7dc15dcbad5bce76dc50abb16b54c2fc8f2939",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.49528987916431,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "51f88f545930e010a4cf870dfd7dc15dcbad5bce76dc50abb16b54c2fc8f2939",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.1734037378260103,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "51f88f545930e010a4cf870dfd7dc15dcbad5bce76dc50abb16b54c2fc8f2939",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6752837595482941,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "51f88f545930e010a4cf870dfd7dc15dcbad5bce76dc50abb16b54c2fc8f2939",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0012187233290915,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "51f88f545930e010a4cf870dfd7dc15dcbad5bce76dc50abb16b54c2fc8f2939",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09552806276736864,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "51f88f545930e010a4cf870dfd7dc15dcbad5bce76dc50abb16b54c2fc8f2939",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "5ba497cb6b19e567480bbf93b8ffa4eb154f7592a8b09b3b55274de672e86fe1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.262270013786415,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "5ba497cb6b19e567480bbf93b8ffa4eb154f7592a8b09b3b55274de672e86fe1",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5200056023168331,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "5ba497cb6b19e567480bbf93b8ffa4eb154f7592a8b09b3b55274de672e86fe1",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.1873788637305378,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "5ba497cb6b19e567480bbf93b8ffa4eb154f7592a8b09b3b55274de672e86fe1",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6828870837990814,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "5ba497cb6b19e567480bbf93b8ffa4eb154f7592a8b09b3b55274de672e86fe1",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0432457989519524,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "5ba497cb6b19e567480bbf93b8ffa4eb154f7592a8b09b3b55274de672e86fe1",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09655676660892305,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "5ba497cb6b19e567480bbf93b8ffa4eb154f7592a8b09b3b55274de672e86fe1",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "624c97537f1becf4182a88f008553f5c39967a0c3cc5c4e822a3048c7cbe247b",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3001080061338628,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "624c97537f1becf4182a88f008553f5c39967a0c3cc5c4e822a3048c7cbe247b",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5550587789834454,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "624c97537f1becf4182a88f008553f5c39967a0c3cc5c4e822a3048c7cbe247b",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2238235066530596,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "624c97537f1becf4182a88f008553f5c39967a0c3cc5c4e822a3048c7cbe247b",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7026265674522008,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "624c97537f1becf4182a88f008553f5c39967a0c3cc5c4e822a3048c7cbe247b",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0989197296437307,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "624c97537f1becf4182a88f008553f5c39967a0c3cc5c4e822a3048c7cbe247b",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09916385870769778,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "624c97537f1becf4182a88f008553f5c39967a0c3cc5c4e822a3048c7cbe247b",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cabe2d3f9a40347f9b343247b5aec9c9fb806f0d33284e381e095968ff7e531c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2542524174692038,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cabe2d3f9a40347f9b343247b5aec9c9fb806f0d33284e381e095968ff7e531c",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5028331801455717,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cabe2d3f9a40347f9b343247b5aec9c9fb806f0d33284e381e095968ff7e531c",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.1806916002417003,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cabe2d3f9a40347f9b343247b5aec9c9fb806f0d33284e381e095968ff7e531c",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.680095617039999,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cabe2d3f9a40347f9b343247b5aec9c9fb806f0d33284e381e095968ff7e531c",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0402517606983372,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cabe2d3f9a40347f9b343247b5aec9c9fb806f0d33284e381e095968ff7e531c",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.0963584681550332,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "cabe2d3f9a40347f9b343247b5aec9c9fb806f0d33284e381e095968ff7e531c",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "908ac7807b0e689ad6a27831e5d0248c817c3738907cd61e78087eafe4ac6923",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5495325554331985,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "908ac7807b0e689ad6a27831e5d0248c817c3738907cd61e78087eafe4ac6923",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "908ac7807b0e689ad6a27831e5d0248c817c3738907cd61e78087eafe4ac6923",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.514745406992538,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "908ac7807b0e689ad6a27831e5d0248c817c3738907cd61e78087eafe4ac6923",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.268774054714887,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "908ac7807b0e689ad6a27831e5d0248c817c3738907cd61e78087eafe4ac6923",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8521223043710313,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "908ac7807b0e689ad6a27831e5d0248c817c3738907cd61e78087eafe4ac6923",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03817239803160011,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "908ac7807b0e689ad6a27831e5d0248c817c3738907cd61e78087eafe4ac6923",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0275515006803344,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2e35977df7234cafc5cfdb96f6def9f782de3112bcb86a64d8bfc580cae25dd9",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.550540411835076,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2e35977df7234cafc5cfdb96f6def9f782de3112bcb86a64d8bfc580cae25dd9",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2e35977df7234cafc5cfdb96f6def9f782de3112bcb86a64d8bfc580cae25dd9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5088501464202253,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2e35977df7234cafc5cfdb96f6def9f782de3112bcb86a64d8bfc580cae25dd9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26915056804954346,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2e35977df7234cafc5cfdb96f6def9f782de3112bcb86a64d8bfc580cae25dd9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9024356004853749,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2e35977df7234cafc5cfdb96f6def9f782de3112bcb86a64d8bfc580cae25dd9",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036207457439046374,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "2e35977df7234cafc5cfdb96f6def9f782de3112bcb86a64d8bfc580cae25dd9",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 0.9997719620768131,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "dc546ffebb6c185e6325229e872653c2c9c41f53c59342399f14a3284d567249",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5485802202871622,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "dc546ffebb6c185e6325229e872653c2c9c41f53c59342399f14a3284d567249",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "dc546ffebb6c185e6325229e872653c2c9c41f53c59342399f14a3284d567249",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5095150115521309,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "dc546ffebb6c185e6325229e872653c2c9c41f53c59342399f14a3284d567249",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2692635808008824,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "dc546ffebb6c185e6325229e872653c2c9c41f53c59342399f14a3284d567249",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9016369902692226,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "dc546ffebb6c185e6325229e872653c2c9c41f53c59342399f14a3284d567249",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036177138667860764,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "dc546ffebb6c185e6325229e872653c2c9c41f53c59342399f14a3284d567249",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0018149579018985,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8e6f4143605b59a3f13ae863d55fa56ce3f2803a4233ab6096ad46722a323060",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5549900595907635,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8e6f4143605b59a3f13ae863d55fa56ce3f2803a4233ab6096ad46722a323060",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8e6f4143605b59a3f13ae863d55fa56ce3f2803a4233ab6096ad46722a323060",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5214819258185065,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8e6f4143605b59a3f13ae863d55fa56ce3f2803a4233ab6096ad46722a323060",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2743668946725111,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8e6f4143605b59a3f13ae863d55fa56ce3f2803a4233ab6096ad46722a323060",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.856997346885569,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8e6f4143605b59a3f13ae863d55fa56ce3f2803a4233ab6096ad46722a323060",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03886137132845902,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "8e6f4143605b59a3f13ae863d55fa56ce3f2803a4233ab6096ad46722a323060",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0187465376900668,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5d260141d29e779778b71f6616f8b8a6b371642e00692c54a7a8095575ac37a3",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5527371607559571,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5d260141d29e779778b71f6616f8b8a6b371642e00692c54a7a8095575ac37a3",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5d260141d29e779778b71f6616f8b8a6b371642e00692c54a7a8095575ac37a3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5118525662307891,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5d260141d29e779778b71f6616f8b8a6b371642e00692c54a7a8095575ac37a3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2712127021799264,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5d260141d29e779778b71f6616f8b8a6b371642e00692c54a7a8095575ac37a3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9059276091404751,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5d260141d29e779778b71f6616f8b8a6b371642e00692c54a7a8095575ac37a3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036530099100037065,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5d260141d29e779778b71f6616f8b8a6b371642e00692c54a7a8095575ac37a3",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0033294599245257,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "6637940592c16a6379ffb61b9d41c9b40d43cebc49a329b18b2ac91ce9636957",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5483592002771166,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "6637940592c16a6379ffb61b9d41c9b40d43cebc49a329b18b2ac91ce9636957",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "6637940592c16a6379ffb61b9d41c9b40d43cebc49a329b18b2ac91ce9636957",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5114827791954875,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "6637940592c16a6379ffb61b9d41c9b40d43cebc49a329b18b2ac91ce9636957",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.27080447300164273,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "6637940592c16a6379ffb61b9d41c9b40d43cebc49a329b18b2ac91ce9636957",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9049992642963006,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "6637940592c16a6379ffb61b9d41c9b40d43cebc49a329b18b2ac91ce9636957",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03641308665240022,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp2_sp2",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "6637940592c16a6379ffb61b9d41c9b40d43cebc49a329b18b2ac91ce9636957",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0064572817241955,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp2_sp2_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9d9d21bbc79ab553be9a8f02733562dead993cd41e2b134da180d3af9f1d0725",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2810909327223838,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9d9d21bbc79ab553be9a8f02733562dead993cd41e2b134da180d3af9f1d0725",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5493580800880289,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9d9d21bbc79ab553be9a8f02733562dead993cd41e2b134da180d3af9f1d0725",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.213356131210597,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9d9d21bbc79ab553be9a8f02733562dead993cd41e2b134da180d3af9f1d0725",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6963655265041975,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9d9d21bbc79ab553be9a8f02733562dead993cd41e2b134da180d3af9f1d0725",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0848679370343737,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9d9d21bbc79ab553be9a8f02733562dead993cd41e2b134da180d3af9f1d0725",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09855394682865175,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "9d9d21bbc79ab553be9a8f02733562dead993cd41e2b134da180d3af9f1d0725",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "c9e32d6aeaaf59922fbb885c15c159956206f8e6aee7e815a3f3a8f929987f9b",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2984037402753705,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "c9e32d6aeaaf59922fbb885c15c159956206f8e6aee7e815a3f3a8f929987f9b",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5467106556328993,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "c9e32d6aeaaf59922fbb885c15c159956206f8e6aee7e815a3f3a8f929987f9b",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2234215858216881,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "c9e32d6aeaaf59922fbb885c15c159956206f8e6aee7e815a3f3a8f929987f9b",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7016549795343392,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "c9e32d6aeaaf59922fbb885c15c159956206f8e6aee7e815a3f3a8f929987f9b",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.1085826360292637,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "c9e32d6aeaaf59922fbb885c15c159956206f8e6aee7e815a3f3a8f929987f9b",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09939649976264192,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "c9e32d6aeaaf59922fbb885c15c159956206f8e6aee7e815a3f3a8f929987f9b",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "09a8641be5085c34851425d5b841c2b4ab3b2122957fdbeb2380daf0f46f5148",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2997094042818165,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "09a8641be5085c34851425d5b841c2b4ab3b2122957fdbeb2380daf0f46f5148",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5454015762873534,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "09a8641be5085c34851425d5b841c2b4ab3b2122957fdbeb2380daf0f46f5148",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.215861802407539,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "09a8641be5085c34851425d5b841c2b4ab3b2122957fdbeb2380daf0f46f5148",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.696826705183208,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "09a8641be5085c34851425d5b841c2b4ab3b2122957fdbeb2380daf0f46f5148",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0861547067176818,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "09a8641be5085c34851425d5b841c2b4ab3b2122957fdbeb2380daf0f46f5148",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09863444813222248,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "09a8641be5085c34851425d5b841c2b4ab3b2122957fdbeb2380daf0f46f5148",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "730b09032f0ff8e8eee42ebf47ae7c08b4f43bb19df79e5c568965934146956e",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2904485187166592,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "730b09032f0ff8e8eee42ebf47ae7c08b4f43bb19df79e5c568965934146956e",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.538250907695059,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "730b09032f0ff8e8eee42ebf47ae7c08b4f43bb19df79e5c568965934146956e",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2093127516026116,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "730b09032f0ff8e8eee42ebf47ae7c08b4f43bb19df79e5c568965934146956e",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6947669448330108,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "730b09032f0ff8e8eee42ebf47ae7c08b4f43bb19df79e5c568965934146956e",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0871432786550863,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "730b09032f0ff8e8eee42ebf47ae7c08b4f43bb19df79e5c568965934146956e",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.0983345969838649,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "730b09032f0ff8e8eee42ebf47ae7c08b4f43bb19df79e5c568965934146956e",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ac3b819ce7f29764c3255d4fe0c1b862f69b912825978137660a20d12f0d95a6",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.2927996997410323,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ac3b819ce7f29764c3255d4fe0c1b862f69b912825978137660a20d12f0d95a6",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.544522794354762,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ac3b819ce7f29764c3255d4fe0c1b862f69b912825978137660a20d12f0d95a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.210227805684282,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ac3b819ce7f29764c3255d4fe0c1b862f69b912825978137660a20d12f0d95a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.6941089374568875,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ac3b819ce7f29764c3255d4fe0c1b862f69b912825978137660a20d12f0d95a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.0910699360148133,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ac3b819ce7f29764c3255d4fe0c1b862f69b912825978137660a20d12f0d95a6",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.09833048865918316,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "ac3b819ce7f29764c3255d4fe0c1b862f69b912825978137660a20d12f0d95a6",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "29adacc4779ab11312322c75deb8a41649b25325fc5a944bc097cfd4ada143f5",
    "reference_backend": "native_dense",
    "backend": "vllm_fa2",
    "observed_ratio": 1.3203257774668886,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "29adacc4779ab11312322c75deb8a41649b25325fc5a944bc097cfd4ada143f5",
    "reference_backend": "native_dense",
    "backend": "vllm_fa3",
    "observed_ratio": 1.5727581426121895,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "29adacc4779ab11312322c75deb8a41649b25325fc5a944bc097cfd4ada143f5",
    "reference_backend": "native_dense",
    "backend": "sdpa_flash",
    "observed_ratio": 1.2318485198686964,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "29adacc4779ab11312322c75deb8a41649b25325fc5a944bc097cfd4ada143f5",
    "reference_backend": "native_dense",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.7075268021725086,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "29adacc4779ab11312322c75deb8a41649b25325fc5a944bc097cfd4ada143f5",
    "reference_backend": "native_dense",
    "backend": "sdpa_cudnn",
    "observed_ratio": 2.133365061263778,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "29adacc4779ab11312322c75deb8a41649b25325fc5a944bc097cfd4ada143f5",
    "reference_backend": "native_dense",
    "backend": "sdpa_math",
    "observed_ratio": 0.10010828459243117,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "cross",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "29adacc4779ab11312322c75deb8a41649b25325fc5a944bc097cfd4ada143f5",
    "reference_backend": "native_dense",
    "backend": "native_dense",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "887fa4a3083eabb6908bb1bb72dfef192deab2b4bbc827a9bec4f51256c50906",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5512274669119945,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "887fa4a3083eabb6908bb1bb72dfef192deab2b4bbc827a9bec4f51256c50906",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "887fa4a3083eabb6908bb1bb72dfef192deab2b4bbc827a9bec4f51256c50906",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.508891610983791,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "887fa4a3083eabb6908bb1bb72dfef192deab2b4bbc827a9bec4f51256c50906",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2643001556634313,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "887fa4a3083eabb6908bb1bb72dfef192deab2b4bbc827a9bec4f51256c50906",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8448674478841358,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "887fa4a3083eabb6908bb1bb72dfef192deab2b4bbc827a9bec4f51256c50906",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.037784423952470836,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 0,
    "input_sha256": "887fa4a3083eabb6908bb1bb72dfef192deab2b4bbc827a9bec4f51256c50906",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0259240199056763,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "a4ef90cc1a2350ba12e0b3c1432c80a7286f77f3d681c44a2bcd79e8e444df61",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5472615514799689,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "a4ef90cc1a2350ba12e0b3c1432c80a7286f77f3d681c44a2bcd79e8e444df61",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "a4ef90cc1a2350ba12e0b3c1432c80a7286f77f3d681c44a2bcd79e8e444df61",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.506138646881449,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "a4ef90cc1a2350ba12e0b3c1432c80a7286f77f3d681c44a2bcd79e8e444df61",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2651289315504267,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "a4ef90cc1a2350ba12e0b3c1432c80a7286f77f3d681c44a2bcd79e8e444df61",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9058317756181364,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "a4ef90cc1a2350ba12e0b3c1432c80a7286f77f3d681c44a2bcd79e8e444df61",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03597333165544582,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 9,
    "input_sha256": "a4ef90cc1a2350ba12e0b3c1432c80a7286f77f3d681c44a2bcd79e8e444df61",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0025567019742783,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "2d166ad07331d7600787ceba845fcb31f66aed7c354c96ee2a17f4d5fd4b2cbb",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5440874101342922,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "2d166ad07331d7600787ceba845fcb31f66aed7c354c96ee2a17f4d5fd4b2cbb",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "2d166ad07331d7600787ceba845fcb31f66aed7c354c96ee2a17f4d5fd4b2cbb",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5080097800428113,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "2d166ad07331d7600787ceba845fcb31f66aed7c354c96ee2a17f4d5fd4b2cbb",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.26557170941408453,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "2d166ad07331d7600787ceba845fcb31f66aed7c354c96ee2a17f4d5fd4b2cbb",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9074904009602364,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "2d166ad07331d7600787ceba845fcb31f66aed7c354c96ee2a17f4d5fd4b2cbb",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03603039181327172,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "commit",
    "frame": 27,
    "input_sha256": "2d166ad07331d7600787ceba845fcb31f66aed7c354c96ee2a17f4d5fd4b2cbb",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0120882377490699,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "fb68628a5d5f90ebf38965193c3cf78c999bfeaa4461c7f56a671ce6ed0452e0",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5478875781716238,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "fb68628a5d5f90ebf38965193c3cf78c999bfeaa4461c7f56a671ce6ed0452e0",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "fb68628a5d5f90ebf38965193c3cf78c999bfeaa4461c7f56a671ce6ed0452e0",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5114053149836482,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "fb68628a5d5f90ebf38965193c3cf78c999bfeaa4461c7f56a671ce6ed0452e0",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2702571635076135,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "fb68628a5d5f90ebf38965193c3cf78c999bfeaa4461c7f56a671ce6ed0452e0",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.8413203432691478,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "fb68628a5d5f90ebf38965193c3cf78c999bfeaa4461c7f56a671ce6ed0452e0",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.038188509290052644,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 0,
    "input_sha256": "fb68628a5d5f90ebf38965193c3cf78c999bfeaa4461c7f56a671ce6ed0452e0",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0109535622248942,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5e89a4de7f97ae377c254b1dfadc106b8c0d6f52b51df8085c6bf5d9be20614f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.548909820076726,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5e89a4de7f97ae377c254b1dfadc106b8c0d6f52b51df8085c6bf5d9be20614f",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5e89a4de7f97ae377c254b1dfadc106b8c0d6f52b51df8085c6bf5d9be20614f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5066501543862839,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5e89a4de7f97ae377c254b1dfadc106b8c0d6f52b51df8085c6bf5d9be20614f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.2658985235674453,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5e89a4de7f97ae377c254b1dfadc106b8c0d6f52b51df8085c6bf5d9be20614f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9062572699139014,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5e89a4de7f97ae377c254b1dfadc106b8c0d6f52b51df8085c6bf5d9be20614f",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.036106549049474766,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 9,
    "input_sha256": "5e89a4de7f97ae377c254b1dfadc106b8c0d6f52b51df8085c6bf5d9be20614f",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.002381232748555,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4de41734d801c45e045d8466100e598aa067c4f0f09e988e6db805145e889af3",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa2",
    "observed_ratio": 0.5477215846090141,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4de41734d801c45e045d8466100e598aa067c4f0f09e988e6db805145e889af3",
    "reference_backend": "vllm_fa3",
    "backend": "vllm_fa3",
    "observed_ratio": 1.0,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4de41734d801c45e045d8466100e598aa067c4f0f09e988e6db805145e889af3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_flash",
    "observed_ratio": 0.5078611061695697,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4de41734d801c45e045d8466100e598aa067c4f0f09e988e6db805145e889af3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_efficient",
    "observed_ratio": 0.266169627994326,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4de41734d801c45e045d8466100e598aa067c4f0f09e988e6db805145e889af3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_cudnn",
    "observed_ratio": 0.9080039425835347,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4de41734d801c45e045d8466100e598aa067c4f0f09e988e6db805145e889af3",
    "reference_backend": "vllm_fa3",
    "backend": "sdpa_math",
    "observed_ratio": 0.03611099798995432,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  },
  {
    "configuration": "704x1280_tp4_sp1",
    "role": "self",
    "phase": "denoise",
    "frame": 27,
    "input_sha256": "4de41734d801c45e045d8466100e598aa067c4f0f09e988e6db805145e889af3",
    "reference_backend": "vllm_fa3",
    "backend": "native_dense",
    "observed_ratio": 1.0089773815204819,
    "scope": "Ratio of medians of3 within-process repeat means; no statistical significance or end-to-end inference",
    "audit": "/data/zhoutaichang/feature/Lingbot_world_realtime/runs/analysis_report_20260908/analysis/attention_evening_704x1280_tp4_sp1_audit.json"
  }
]
