---
license: apache-2.0
tags: [video-diffusion, visual-reasoning, causal-forcing, sudoku, sliding-puzzle, tangram]
---

# COF readiness-v3 artifacts (sliding / sudoku / tangram)

Checkpoints and train LMDBs from the 2026-08-30..09-03 debug of the three
GPT-built visual-reasoning tasks in `mianwu01/COF-maze`
(branch `review/cof-6k-snapshot-20260825`, commit `fbee115`).
Code, configs, exact data-generation commands, evaluation summaries, and the
full analysis live in that branch:

- `reports/2026-08-30_reasoning_readiness_debug.md` — why the readiness gates failed and what fixes it
- `reports/2026-09-03_readiness_v3_cluster_handoff.md` — how to restore and continue on a cluster
- `causal-forcing-changes/modifications.patch` — trainer overlay incl. the remediation-v3 loss controls

All checkpoints are Wan2.1-T2V-1.3B causal (AR, I2V) Causal-Forcing generators,
`image_or_video_shape [1,21,16,60,104]`, trained with the v3 recipe from the
public maze init `Aelien/COF-maze-checkpoints/maze_ar_cont/checkpoint_model_001500`.
`model.pt` holds `generator` and `generator_ema`; `trainer.pt` (where present)
adds optimizer/data/RNG state for exact resume.

| path | what | dev8 result (seed 101) |
| --- | --- | --- |
| `checkpoints/sudoku_maze_init_v3_long2/global_1985/{model,trainer}.pt` | sudoku 9x9 hidden-endpoint, exact-resume point | 1/8 exact, 50% valid progress, givens 8/8 |
| `checkpoints/sudoku_maze_init_v3_long2/global_1697/model.pt` | sudoku, best valid-progress model | 1/8 exact, 63% valid progress, 50% legal |
| `checkpoints/sliding_maze_init_v3_x4/step_001200/{model,trainer}.pt` | sliding 3x3, 1024-sample run, resume point | evals pending |
| `checkpoints/sliding_maze_init_v3_long/step_000600/model.pt` | sliding 3x3, 256-sample measured peak | 81% legal, 83% valid state, 4.6 moves |
| `data/reasoning_tasks/<task>/lmdb/train` (+ `sliding_exact_v1/lmdb/train1024`) | fp16 VAE latents (256 rows per task; 1024-row sliding set), action masks baked in | -- |

Configs: `experiments/configs/{sudoku_maze_init_v3_long2,sliding_maze_init_v3_x4,sliding_maze_init_v3_long}.yaml`.
Evaluate with `scripts/readiness_v3/eval_chain.sh`; continue training with `scripts/readiness_v3/run_segments.sh`.