derive cleaner min-4px YOLO corpus
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@@ -1164,9 +1164,12 @@ This file now starts with the current implementation status. Older preparation/b
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sheets and retain immutable hashes.
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- [x] Reconstruct exact cross-tile interior objects and prove that overlap
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repeats 40,031 label rows but causes zero reconstructed train/val crossings.
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- [ ] Build the next immutable experimental corpus with `min_label_px >= 4`
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and compare the existing 0.35 edge-visibility policy against a separately
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versioned stricter ablation before any new governed training.
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- [x] Build and fully audit an immutable experimental corpus with
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`min_label_px=4`; retain 252 tiles and 77,380 labels with zero sub-4-pixel
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rows, missing files, invalid labels or cross-split reconstructed objects.
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- [ ] Compare the existing 0.35 edge-visibility policy against a separately
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versioned stricter ablation from original source geometry before any new
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governed training; do not approximate this by dropping every edge label.
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- [ ] Convert the AI-assisted ledger into no stronger claim than experimental
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triage; a real human must independently review and sign the frozen artifacts
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before the governed training wrapper may unlock.
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