add citation

README.md

@@ -22,6 +22,31 @@ In this demo, we provide two models: FingerNet and FingerNet-Surf, corresponding
 - Adjust finger motion parameters using sliders.
 - Visualize predicted force and shape in real-time.
 
-## License
+## Citation
 
-FingerNet is licensed under the BSD-3-Clause License.
+If you use this model in your research, please cite the following papers:
+
+```bibtex
+@article{liu2024proprioceptive,
+  title={Proprioceptive learning with soft polyhedral networks},
+  author={Liu, Xiaobo and Han, Xudong and Hong, Wei and Wan, Fang and Song, Chaoyang},
+  journal={The International Journal of Robotics Research},
+  volume = {43},
+  number = {12},
+  pages = {1916-1935},
+  year = {2024},
+  publisher={SAGE Publications Sage UK: London, England},
+  doi = {10.1177/02783649241238765}
+}
+```
+
+[](https://arxiv.org/abs/2308.08538)
+
+```bibtex
+@article{wu2025magiclaw,
+  title={MagiClaw: A Dual-Use, Vision-Based Soft Gripper for Bridging the Human Demonstration to Robotic Deployment Gap},
+  author={Wu, Tianyu and Han, Xudong and Sun, Haoran and Zhang, Zishang and Huang, Bangchao and Song, Chaoyang and Wan, Fang},
+  journal={arXiv preprint arXiv:2509.19169},
+  year={2025}
+}
+```