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README.md

@@ -29,7 +29,7 @@ GraftSet-Video is the external video exemplar dataset introduced in **GraftOOD:
 |---|---|
 | Videos | 9,588 |
 | Unique prompts | 2,397 |
-| Videos per prompt | Exactly 4 |
+| Videos per prompt | 4 |
 | Source model identifiers | 9 |
 | Video resolution | 832 × 480 pixels (width × height) |
 | Frames per video | 81 |
@@ -75,7 +75,7 @@ GraftSet-Video is the external video exemplar dataset introduced in **GraftOOD:
 
 ## Metadata schema
 
-`metadata.jsonl` is UTF-8 JSON Lines: one JSON object per video.
+`metadata.jsonl` : one JSON object per video.
 
 | Field | Type | Description |
 |---|---|---|
@@ -182,6 +182,18 @@ If you find this project useful, please consider citing:
   journal={arXiv preprint arXiv:2610.13470},
   year={2026}
 }
+@article{fu2026videoawr,
+  title={VideoAWR: Reinforcing Video Flow Models with Decoupled-Timestep Advantage-Weighted Rectification},
+  author={Fu, Zheming and Ning, Wenbin and He, Ruizhe and Shang, Wei and Ma, Xiaoxiao and Mu, Lianrui and Liu, Chang and Wang, Lei and Fu, Siming},
+  journal={arXiv preprint arXiv:2610.13338},
+  year={2026}
+}
+@article{fu2026flowawr,
+  title={FlowAWR: Online Adaptive Flow Reinforcement via Advantage-Weighted Rectification},
+  author={Fu, Zheming and He, Ruizhe and Shang, Wei and Ma, Xiaoxiao and Wang, Lei and Liu, Chang and Fu, Siming},
+  journal={arXiv preprint arXiv:2606.30376},
+  year={2026}
+}
 ```
 
 ## Acknowledgments