Add terminal-window FID/KID evaluator and results

Adds the R50 terminal-window evaluator, tests, frozen HY-WorldPlay/minWM result summaries, reproduction instructions, and updated artifact hash.

README.md

@@ -26,7 +26,7 @@ We report **self-consistency (SC)** as the primary cross-model diagnostic and us
 | --- | --- |
 | `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, metric evaluators, tests, and result summaries |
+| `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 |
 
 Reference videos and trajectory metadata are hosted separately in [VideoWorldmodel/ReasoningStructureTestset](https://huggingface.co/datasets/VideoWorldmodel/ReasoningStructureTestset).
 
@@ -82,6 +82,17 @@ minWM, frozen R50 SC outputs:
 
 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.
 
+### Terminal-window distribution robustness
+
+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.
+
+| 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 |
+
+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
 
 This path requires only the files on the current page; no GT dataset is needed.
@@ -140,13 +151,14 @@ python -m pip install -r requirements-eval.txt
 python -m unittest discover -s tests -v
 ```
 
-The repository README documents five reproducibility paths:
+The repository README documents six reproducibility paths:
 
 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. run the full Matrix endpoint audit using `matrix_game.zip` and the GT dataset.
+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.
 
 The code archive contains frozen result summaries but not the large minWM/HY-WorldPlay rollout videos or model checkpoints. Regenerating those 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.
 
@@ -156,6 +168,7 @@ The code archive contains frozen result summaries but not the large minWM/HY-Wor
 - 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`
 
 ## Scope
 

Reasoning-Structured-Videos-Rebuttal-main.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:00798e8d424c18e7e39c94680b53f2851db106473c277404ca25ca981c287b90
-size 379758
+oid sha256:9ee07bfff222800b2eddf6d3e4a44dd2e93a250ea8e7945dbbdf1a7af8b80ca0
+size 400427