docs(perception): require visual LAB evidence
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@@ -641,6 +641,10 @@ changes.
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solid-state-LiDAR result is not independently reproducible, KITTI is
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cross-domain, and `RAVNOVES01` without independent cuboids cannot establish
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detector accuracy.
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- [x] Publish a bounded visual-audit derivative of the same sealed transfer
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run: `18` deterministic TP/FP/FN/class-coverage frames, original LiDAR
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samples, KITTI truth, model predictions and shared `3D ↔ BEV` inspection in
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Mission Core without repeating inference.
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- [ ] Freeze a separate training/adaptation admission before downloading a
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trainable checkpoint or starting a training runtime.
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- [ ] Train only on the frozen `3,712` KITTI train frames; keep all `3,769`
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@@ -709,6 +713,10 @@ an uncovered volume.
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The exact contract, metrics, rejection decision and reproduction notes are in
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`experiments/perception/L3_POINTPILLARS_TRANSFER_REPORT_2026-07-31.md`.
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The current visual-audit derivative is
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`l3-pointpillars-visual-audit-35a5bfef788e40080cac1b8ca82ba65176f158326fa2fc4570b522c97d6a2f8d`.
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It is an append-only read-only projection of the same frame-result identity,
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not a new detector result or a change to the measured gate.
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### L4 — live shadow integration
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@@ -140,6 +140,13 @@ Each LAB result must make these sections available to the operator:
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5. **Conclusion** — what was proved, what was not proved, limitations and the
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next gate.
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If an algorithmic result has a spatial, image-plane, temporal, geometric or
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otherwise directly visualizable interpretation, metrics alone are not a
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complete LAB record. The published run must include bounded visual evidence
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derived from the same immutable input and result identities. That evidence
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must expose the operator question and the relevant truth/prediction/error
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layers without recomputing, retuning or substituting the measured result.
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The result must explicitly state:
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- ground-truth availability and its identity;
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