Model card: citation

README.md

@@ -42,6 +42,17 @@ bash run_example.sh                                        # renders the bundled
 
 Inputs are 1344×768, 24 fps clips of 2–15 s; captions are built from a short `spec.json` with `make_caption.py` (see the repo README and the `anygamerenderer-caption` skill for how to write one).
 
+## Citation
+
+```bibtex
+@article{liu2026anygamerenderer,
+  title={AnyGameRenderer: Entity-Consistent Generative Rendering Across Games and an Entity-Level Benchmark},
+  author={Liu, Ruicong and Ouyang, Liangyang and Lan, Fengbo and Wang, Zhixiang and Zhang, Kaipeng},
+  journal={arXiv preprint arXiv:2610.31466},
+  year={2026}
+}
+```
+
 ## License
 
 The LoRA is a derivative of the MiniMax-H3 weights and is distributed under the [MiniMax-H3 Community License](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE).