{
  "created_at": "2026-09-10T03:33:20.539344+00:00",
  "status": "static_review_and_saved_output_analysis_only",
  "findings": [
    "LingBotCrossAttention constructs Attention with causal=False, scale=head_dim**-0.5, role=cross, skip_sequence_parallel=True, disable_kv_quant=True.",
    "Cross forward passes query/key/value without explicit AttentionMetadata; cache reuse slices key/value to cache.end before the same Attention call.",
    "SDPA uses self.softmax_scale, self.causal and dropout_p=0; output returns BSND layout.",
    "Generic Flash implementation supports packed metadata that SDPA does not consume, but no such metadata is explicitly supplied by this cross caller. This alone is not evidence of the model failure cause.",
    "Local six-input SDPA probes copied contiguous saved inputs and trimmed to valid lengths; they do not establish all-layer runtime equivalence or preserve every original stride."
  ],
  "remaining": [
    "No paired same-input all-layer runtime capture for this model candidate.",
    "Cannot attribute large final output differences solely to floating-point accumulation, padding or a backend defect.",
    "First failing saved chunk localizes output divergence, not the first internal divergent operation."
  ],
  "sources": [
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      "path": "vllm_omni/diffusion/models/lingbot_world/transformer.py",
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