Buckets:
Phase 2 — Motion-NDF window ablation report
⚠️ SYNTHETIC PROXY MODE — trained on the synthetic manifold (gated AMASS, docs/BLOCKERS.md). Demonstrates the mechanism (H3): why poses must be lifted to motion windows. Not the final scientific numbers — re-run on AMASS windows for those.
Window W = 9 (+ joint velocity).
AUROC(valid vs negative) — higher = better separation; 0.5 = blind
| negative type | static W=1 | Motion-NDF (W+vel) |
|---|---|---|
| shuffled (dynamics-wrong, same poses) | 0.498 | 1.000 |
| highvel (dynamics-wrong, fast) | 1.000 | 1.000 |
| pose_ood (off-manifold poses) | 1.000 | 1.000 |
Takeaway
The static field sits near chance (0.5) on the dynamics-wrong negatives (shuffled / highvel) — the
per-frame poses are identical, so a pose-only field cannot tell smooth motion from broken motion.
Motion-NDF, seeing the window + velocity, separates them (gain shuffled +0.502,
highvel +0.000). Both catch off-manifold poses. This is the
justification for Phase 2 and motivates including velocity in the reward (Phase 1 use_velocity).
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