| --- |
| pretty_name: Reasoning-Structured Videos Evaluation Artifacts |
| tags: |
| - world-model |
| - video-generation |
| - benchmark |
| - compositional-consistency |
| - reproducibility |
| --- |
| |
| # Reasoning-Structured Videos: Evaluation Artifacts |
|
|
| This page hosts evaluation artifacts for **Reasoning-Structured Videos: A Stratified Diagnostic Suite for Compositional Consistency in World Models**. |
|
|
| The benchmark tests whether action-conditioned video world models respect three trajectory relations: |
|
|
| - **Inverse:** a path followed by its inverse should return to the initial state. |
| - **Loop:** a closed path should return to the initial state. |
| - **Equivalence:** two different paths reaching the same state should produce matching endpoints. |
|
|
| We report **self-consistency (SC)** as the primary cross-model diagnostic and use GT-anchor and distributional metrics as complementary evidence. |
|
|
| ## Files |
|
|
| | File | Description | |
| | --- | --- | |
| | `matrix_game.zip` | 1,371 released Matrix-Game 2.0 SC rollout videos | |
| | `evaluate_matrix_game_sc.py` | Standalone Matrix-Game SC reproduction script | |
| | `Reasoning-Structured-Videos-Rebuttal-main.zip` | Frozen R20/R50 manifests, minWM/HY-WorldPlay camera adapters, strict-endpoint and terminal-window evaluators, tests, and result summaries | |
| | `r50/` | Frozen minWM and HY-WorldPlay R50 SC/GT-anchor rollout videos, metadata, reference images, and manifest | |
|
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| Reference videos and trajectory metadata are hosted separately in [VideoWorldmodel/ReasoningStructureTestset](https://huggingface.co/datasets/VideoWorldmodel/ReasoningStructureTestset). |
|
|
| ## Released R50 rollouts |
|
|
| The `r50/` directory contains the generated rollouts used for the frozen R50 evaluation of two camera-trajectory-conditioned methods: |
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|
| | Method | Self-consistency | GT-anchor | Total | |
| | --- | ---: | ---: | ---: | |
| | [minWM](https://github.com/shengshu-ai/minWM) | 200 | 200 | 400 | |
| | [HY-WorldPlay 1.5 AR Distill 480P I2V](https://github.com/Tencent-Hunyuan/HY-WorldPlay) | 200 | 200 | 400 | |
|
|
| R50 has 50 graphs for each of Inverse, Loop, and Equivalence. Each tier contains 200 rollouts because every Equivalence graph has paired A/B branches. Self-consistency rollouts start from the model's conditioning frame; GT-anchor rollouts condition on the first 180 GT frames and predict through logical `raw359`. |
|
|
| ```text |
| r50/ |
| manifests/subset_manifest_R20_R50_raw360_v1.jsonl |
| minwm/{self_consistency,gt_anchor}/predictions/<relation>/<record_id>/ |
| hy_worldplay/{self_consistency,gt_anchor}/predictions/<relation>/<record_id>/ |
| ``` |
|
|
| Each record includes `rollout.mp4` and `metadata.json`; `reference.png` is included where produced by the inference adapter. Use the logical-to-physical frame mapping in `metadata.json` when selecting frames: saved video spans differ between SC and GT-anchor outputs, so physical frame indices must not be guessed. |
|
|
| Download only this release with: |
|
|
| ```bash |
| hf download VideoWorldmodel/Evaluation \ |
| --repo-type dataset \ |
| --include "r50/**" \ |
| --local-dir . |
| ``` |
|
|
| ## Main results |
|
|
| ### Common camera-trajectory SC (frozen R50) |
|
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| minWM and HY-WorldPlay receive the same frozen graph IDs and camera trajectories through their official pose-control pathways. Each model completed 200/200 rollouts with zero evaluation failures, using the same 512x288 evaluation preprocessing. |
|
|
| | Model | Inverse LPIPS / PSNR | Loop LPIPS / PSNR | Equivalence LPIPS / PSNR | |
| | --- | ---: | ---: | ---: | |
| | HY-WorldPlay 1.5 AR Distill | **0.4597 / 15.07** | **0.4941 / 15.50** | **0.3723 / 16.94** | |
| | minWM | 0.7118 / 10.46 | 0.7442 / 10.85 | 0.4437 / 14.05 | |
|
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| R50 contains 50 graphs per relation: 150 graph units and 200 videos because every Equivalence graph has A/B branches. The code archive includes graph-bootstrap intervals, the corresponding GT-anchor summaries, and frozen R50 Endpoint FID/KID reports. Endpoint KID uses an unbiased finite-sample estimator, so valid negative estimates are retained in the detailed artifact rather than interpreted as distances below zero. |
|
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| ### External-model Inverse SC versus revisit horizon |
|
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| On the same frozen R20 Inverse graphs, pose-certified matched-state revisits show increasing inconsistency from 10 to 40 action steps. minWM changes by +0.2697 LPIPS [0.2196, 0.3256] and -3.65 dB PSNR [-4.69, -2.80]; HY-WorldPlay changes by +0.1039 [0.0379, 0.1754] and -1.94 dB [-3.37, -0.83]. The paired GT same-pose floor shows no detectable 10-to-40 degradation. The archive contains the evaluator, tests, per-graph pose audit, strict fixed-pair sensitivity analysis, and frozen JSON/Markdown results. |
|
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| ### Matrix-Game Inverse SC versus revisit horizon |
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| All 448 Inverse graphs are evaluated at matched-state revisits with increasing action separation. “Physical frame” denotes the zero-indexed position in the saved Matrix MP4. Matrix exports 357 frames for the complete 40-action schedule, so action boundary `k` is mapped to physical frame `round(356k/40)`, anchoring both endpoints and preserving outward/return symmetry. |
|
|
| | Revisit horizon | LPIPS (95% CI) | PSNR dB (95% CI) | |
| | ---: | ---: | ---: | |
| | 10 actions | 0.4851 [0.4652, 0.5053] | 14.03 [13.53, 14.53] | |
| | 20 actions | 0.6106 [0.5976, 0.6234] | 11.46 [11.14, 11.77] | |
| | 30 actions | 0.6685 [0.6584, 0.6784] | 10.71 [10.45, 10.96] | |
| | Full rollout (40 actions) | 0.7062 [0.6973, 0.7151] | 10.45 [10.21, 10.69] | |
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| The paired full-minus-10 change is +0.2211 LPIPS [0.1988, 0.2434] and -3.58 dB PSNR [-4.02, -3.15]. Adjacent boundary-rounding schemes preserve the monotonic trend and change intermediate means by at most 0.005 LPIPS / 0.10 dB. |
|
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| ### Endpoint distribution fidelity |
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| Endpoint FID/KID compare generated and matched GT logical `raw359` endpoint sets using clean-fid Inception-v3 pool3 features. |
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| Matrix-Game, complete available output set: |
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| | Relation | Graphs / images | Endpoint FID ↓ | KID ×1000 ↓ | |
| | --- | ---: | ---: | ---: | |
| | Inverse | 448 / 448 | 134.94 | 23.018 | |
| | Loop | 445 / 445 | 141.33 | 24.362 | |
| | Equivalence | 239 / 478 | 145.55 | 22.943 | |
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| minWM, frozen R50 SC outputs: |
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| | Relation | Graphs / images | Endpoint FID ↓ | KID ×1000 ↓ | |
| | --- | ---: | ---: | ---: | |
| | Inverse | 50 / 50 | 242.46 | 47.860 | |
| | Loop | 50 / 50 | 249.40 | 54.173 | |
| | Equivalence | 50 / 100 | 240.23 | 50.359 | |
|
|
| Endpoint FID is an image-set metric and is not numerically comparable to the clip-level FVD reported elsewhere. The Matrix analysis also includes 20/50/100/200/full graph sensitivity and a GT-vs-GT finite-sample floor. These endpoint metrics complement, rather than replace, paired SC LPIPS/PSNR. |
|
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| ### Terminal-window distribution robustness |
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| Because an external-model R50 relation contains only 50 strict endpoint images, we additionally pool the final matched logical frames from the common SC rollout track. `K=9` covers the final 0.56 seconds and `K=18` the final 1.12 seconds of each 22.5-second rollout. Each entry is FID / KID ×1000. |
|
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| | Window | HY-WorldPlay: Inverse / Loop / Equivalence | minWM: Inverse / Loop / Equivalence | |
| | --- | ---: | ---: | |
| | K=9 | **103.94 / 6.553 · 132.62 / 8.388 · 128.98 / 8.825** | 223.16 / 62.504 · 242.04 / 69.070 · 217.60 / 56.783 | |
| | K=18 | **95.61 / 6.763 · 129.45 / 9.053 · 117.96 / 8.224** | 214.68 / 62.997 · 235.68 / 67.737 · 208.07 / 56.998 | |
|
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| These are point estimates over 50 graph clusters per relation. Consecutive frames are correlated, so the graph remains the sampling unit. This is a late-horizon marginal appearance-distribution check, not an exact-state closure or temporal-order metric. The code archive contains the evaluator, unit test, frozen JSON/Markdown results, and a generic reproduction command. |
|
|
| ## Quick reproduction: Matrix-Game SC |
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| This path requires only the files on the current page; no GT dataset is needed. |
|
|
| ```bash |
| python -m pip install -U huggingface_hub |
| |
| hf download VideoWorldmodel/Evaluation \ |
| matrix_game.zip evaluate_matrix_game_sc.py \ |
| --repo-type dataset \ |
| --local-dir . |
| |
| unzip matrix_game.zip -d data/MatrixGame2_SC_videos |
| |
| python -m pip install \ |
| "numpy>=1.26,<3" \ |
| "opencv-python-headless>=4.8,<5" \ |
| "torch>=2.2,<3" \ |
| "torchvision>=0.17,<1" \ |
| "lpips==0.1.4" |
| |
| python evaluate_matrix_game_sc.py \ |
| --data data/MatrixGame2_SC_videos \ |
| --output results/matrix_game_sc \ |
| --lpips \ |
| --device auto \ |
| --check-paper |
| ``` |
|
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| If the archive creates one additional top-level directory, point `--data` to the directory that directly contains the five relation folders. |
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| Expected values: |
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| | Relation | Graph N | Recomputed LPIPS / PSNR | Paper LPIPS / PSNR | |
| | --- | ---: | ---: | ---: | |
| | Inverse-SC | 448 | 0.7061 / 10.4476 | 0.71 / 10.45 | |
| | Loop-SC | 445 | 0.7173 / 10.6227 | 0.72 / 10.62 | |
| | Equivalence-SC | 239 | 0.5918 / 12.5732 | 0.59 / 12.57 | |
|
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| The evaluator verifies file counts and Equivalence pair integrity, and writes per-graph scores, graph-bootstrap confidence intervals, an audit, and a paper-value check. |
|
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| ## Reproduce the additional analyses |
|
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| Download and unpack the code artifact: |
|
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| ```bash |
| hf download VideoWorldmodel/Evaluation \ |
| Reasoning-Structured-Videos-Rebuttal-main.zip \ |
| --repo-type dataset \ |
| --local-dir . |
| |
| unzip Reasoning-Structured-Videos-Rebuttal-main.zip |
| cd Reasoning-Structured-Videos-Rebuttal-main |
| |
| python -m pip install -r requirements-eval.txt |
| python -m unittest discover -s tests -v |
| ``` |
|
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| The repository README documents six reproducibility paths: |
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| 1. recompute SC/GT LPIPS and PSNR from minWM or HY-WorldPlay rollout directories; |
| 2. recompute pose-certified Inverse SC versus horizon for minWM and HY-WorldPlay from saved rollouts; |
| 3. recompute Matrix-Game Inverse SC versus revisit horizon directly from `matrix_game.zip`; |
| 4. recompute relation-wise endpoint FID/KID; |
| 5. recompute R50 terminal-window FID/KID from saved external-model rollouts; |
| 6. run the full Matrix endpoint audit using `matrix_game.zip` and the GT dataset. |
|
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| The generated minWM/HY-WorldPlay R50 rollouts are released under `r50/`; model checkpoints are not included. Regenerating the videos requires the official [minWM](https://github.com/shengshu-ai/minWM) or [HY-WorldPlay](https://github.com/Tencent-Hunyuan/HY-WorldPlay) repository, its checkpoint, its official environment, and suitable GPUs. |
|
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| ## Frozen identifiers |
|
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| - Public subset seed: `2357` |
| - R20 manifest SHA-256: `f8307b78ffb4633b1d6ca6340498a9db615dca4cc45a045d16139abf4375abdf` |
| - Nested R20/R50 manifest SHA-256: `c1b3e051ec861f6babd00f67cf7c31d0ceba590d93a6fac1ac6a768b40448db4` |
| - `matrix_game.zip` SHA-256: `caec3d8deb20cffbc645f0aeeaa2af425536715eef935b17347cdfab728a88d4` |
| - `Reasoning-Structured-Videos-Rebuttal-main.zip` SHA-256: `9ee07bfff222800b2eddf6d3e4a44dd2e93a250ea8e7945dbbdf1a7af8b80ca0` |
|
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| ## Scope |
|
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| The released experiments evaluate deterministic camera trajectories in static scenes. They support relation-specific diagnostic conclusions under the stated protocol; they are not intended as a universal ranking of world-model architectures. |
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