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Reframed contribution (seegate_reports/SUMMARY.md). The load-bearing result is a label-free lesion subspace — a mid-layer geometry that localizes lesions WITHOUT labels across anatomy, modality (CT + ultrasound), and backbone (MedDINOv3 + DINOv2) — together with membership pruning (beats saliency pruning on small-lesion miss-rate), a conformal retention certificate, and lesion-routed depth (1.6× FLOPs). The original coverage-constrained optimization with an interpretable dual is reported as a clean negative result with a transferable mechanism (rank-based coverage rewards diverse spanning, rare pathology needs concentration). Seegate_reports/NEGATIVE_RESULT.md.
| Mid-layer finding | lesion AUROC final-layer 0.565 → block-3 0.871 |
| Cross-modality | density-A: lung CT 0.87, kidney 0.82, breast US 0.73 (DINOv2; attention 0.49) |
| Membership > saliency pruning | LIDC +27.6/+15.8, KiTS23 +7.4, BUSI +13.8/+19.0 pts |
| Conformal retention cert. | empirical coverage 0.978 ≥ nominal 0.90 |
| Lesion-routed depth | 1.6× FLOPs at 98% small-lesion sensitivity |
| Negative result | coverage floor 0.22 vs membership 0.82 (small-lesion recall) |
subspace/ label-free lesion subspace: density (A) + residual (B) constructions
coverage/ rankme / coding-rate / energy functionals (the FALSIFIED coverage objective)
gate/ constrained pruner (Gumbel mask + dual) + per-image certificate [negative result]
arch/ conformal_head, routed_depth, volumetric (Phase-6 components)
backbone/ frozen MedDINOv3 ViT-B/16 loader (DINOv2 used for ultrasound, in jobs/)
data/ CT token-bank builder, eval-only mask loading + label-leak guard
eval/ DeLong / paired-bootstrap / Spearman stats; gate runners
jobs/ all experiments as Hugging Face Jobs (materialize, banks, gates, ablations)
gate_reports/ machine-readable per-gate decision records + SUMMARY + NEGATIVE_RESULT
configs/ thresholds.lock.json (Phase-1b calibrated, locked)
paper/ working_draft.md + figures/ + venue_notes.md
tests/ CI label-leak test (no label may touch subspace construction)ricklisz123/MedDINOv3-ViTB-16-CT-3M (CT),
facebook/dinov2-base (ultrasound). Datasets: LIDC-IDRI, KiTS23, MSD Task03 Liver, MSD Task07
Pancreas, BUSI. Masks are evaluation-only; tests/test_label_leak.py fails the build if a label
reaches subspace construction. The frozen DINOv3 model code is installed from
github.com/facebookresearch/dinov3 at job time (not vendored here).gate_reports/. Locked thresholds: configs/thresholds.lock.json.