docs(perception): require visual LAB evidence
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@@ -175,6 +175,37 @@ The compact report SHA-256 is:
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`f53d8d03a7c1e092d87b732872b26fea16447f373cf567bfe57737cb3ccbebba`.
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## Visual audit
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The numerical result now has a separate append-only visual derivative:
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`l3-pointpillars-visual-audit-35a5bfef788e40080cac1b8ca82ba65176f158326fa2fc4570b522c97d6a2f8d`.
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The derivative revalidates the complete source manifest and the unchanged
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frame-result identity before reproducing the same global score-descending
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oriented-3D-IoU matching. It then selects `18` deterministic evidence frames:
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all three frames containing a true positive, the highest false-positive and
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false-negative frames, and target-class coverage.
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Each selected frame contains:
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- an evenly bounded sample of at most `12,000` original XYZI points inside the
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shared evaluation volume;
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- independent KITTI truth cuboids marked as matched or false negative;
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- evaluated PointPillars cuboids marked as true or false positive;
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- the original inference latency and complete per-frame accounting.
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Mission Core reads only the catalog and one selected frame at a time. The
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operator can inspect the same case in `3D` and `BEV`, move sequentially through
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the evidence set and expand/restore the shared viewer. No inference, threshold
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retuning or metric recomputation occurs in the browser. The original KITTI
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archives remain only on Worker 006; the compact visual derivative is about
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`15 MiB` on the operator host.
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The visual layer makes the measured domain mismatch inspectable. It does not
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convert the cross-domain probe into K1 accuracy and does not authorize
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navigation or safety.
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## Interpretation
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The worker seam, TensorRT engine, Triton serving path, bounded postprocess and
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