sample_grid.png re-rendered at window_length=32 (was 16) + 4 row-matched MP4 clips (sample_grid_clip_NN.mp4) so each grid row has a video twin showing real recording motion at 5x.

MP4s re-encoded at 5× speed (yuv444p / 8-bit / CRF 20 — sharper text overlays); all 66 GIFs removed from HF (MP4-only going forward). Source 8-bit RGB → 10-bit would be wasted bits; 4:4:4 chroma is the upgrade that actually matters for the text panels.

Re-render 20 sample_window GIFs + MP4s with the trim_offset bug fixed (was showing OT-offline prefix region for windows from trimmed eps; now shows the correct post-trim region with live OT pose updating across frames).

Audit batch 3: ship .mp4 alongside every GIF for inline HF rendering (#11). 51 files, total GIF→MP4: 451→24 MB.

Add 20 dataloader sample-window GIFs (random windows from post-trim ReactWindowDataset) for visual ot_loss verification

Visualization refactor (twm/viz.py single source); native 1280x480 + left|middle|right cam order; freeze_diagnose/ replaces freeze_check/ and freeze_classify/; finding: all freezes are recording-pipeline stalls

Fix RealSense BGR→RGB; sample_window.gif now matches recording-viewer layout

Regen previews at 256-color palette; 3-cam dataloader gif; add docs/curation_pipeline.md

Add example dataloader: ReactWindowDataset for short contact-rich window sampling + demo (static grid + GIF) with sensor-frame overlay