docs: add TimeLens2 paper citation

README.md

@@ -17,6 +17,10 @@ The model is built on [Qwen3-VL-4B-Instruct](https://huggingface.co/Qwen/Qwen3-V
 
 Despite its compact size, **TimeLens2-4B delivers state-of-the-art performance among similarly sized models** and outperforms substantially larger open and proprietary baselines.
 
+## Paper
+
+[TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs](https://arxiv.org/abs/2607.17423)
+
 ## Benchmark Results
 
 ![Temporal grounding benchmark results](https://huggingface.co/MCG-NJU/TimeLens2-4B/resolve/main/assets/benchmark_results.svg)
@@ -114,3 +118,17 @@ response = processor.batch_decode(
 )
 print(response[0])
 ```
+
+## Citation
+
+```bibtex
+@misc{zhu2026timelens2,
+      title={TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs},
+      author={Yuhan Zhu and Changlian Ma and Xiangyu Zeng and Xinhao Li and Zhiqiu Zhang and Songze Li and Jun Zhang and Tianxiang Jiang and Yuandong Yang and Ziang Yan and Zikang Wang and Xinyu Chen and Haoran Chen and Shaowei Zhang and Limin Wang},
+      year={2026},
+      eprint={2607.17423},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2607.17423},
+}
+```