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Rotate capped training samples across iterations
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Jens
2026-07-29 20:59:03 +02:00
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@@ -1019,5 +1019,6 @@ This file now starts with the current implementation status. Older preparation/b
- [x] Pass structural corpus and 56,474-label tile-quality audits with zero invalid or missing labels and zero spatial leakage failures.
- [x] Render and inspect a 56-tile contact sheet covering all 14 new AOIs before retraining.
- [ ] Run the v43 calibration-first, failure-driven CUDA loop against the frozen regional release gates.
- [x] Rotate region-capped repeat windows deterministically per loop round so persistent failures cannot reuse an identical training list indefinitely.
- [ ] Open protected test and pure-background evidence only after every calibration gate passes.
- [ ] Queue final representative human sign-off only after all automated gates pass, then promote and redeploy the exact checksummed model.