Add arXiv paper citation and docs root redirect (#35)

- Add Agent Lightning arXiv paper (2508.03680) to Resources section
- Add Citation section with BibTeX reference in README and docs
- Configure Mike to set default version redirect from root to /latest

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-authored-by: Claude <noreply@anthropic.com>

README.md

@@ -20,6 +20,7 @@
 
 ## ⚡ Resources
 
+- 8/5/2025 [Agent Lightning: Train ANY AI Agents with Reinforcement Learning](https://arxiv.org/abs/2508.03680) arXiv paper.
 - 7/26/2025 [We discovered an approach to train any AI agent with RL, with (almost) zero code changes.](https://www.reddit.com/r/LocalLLaMA/comments/1m9m670/we_discovered_an_approach_to_train_any_ai_agent/) Reddit.
 - 6/6/2025 [Agent Lightning - Microsoft Research](https://www.microsoft.com/en-us/research/project/agent-lightning/) Project page.
 
@@ -132,6 +133,22 @@ Serve documentation locally:
 mkdocs serve
 ```
 
+## ⚡ Citation
+
+If you find Agent Lightning useful in your research or projects, please cite our paper:
+
+```bibtex
+@misc{luo2025agentlightningtrainai,
+      title={Agent Lightning: Train ANY AI Agents with Reinforcement Learning}, 
+      author={Xufang Luo and Yuge Zhang and Zhiyuan He and Zilong Wang and Siyun Zhao and Dongsheng Li and Luna K. Qiu and Yuqing Yang},
+      year={2025},
+      eprint={2508.03680},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2508.03680}, 
+}
+```
+
 ## ⚡ Contributing
 
 This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

docs/index.md

@@ -16,6 +16,28 @@ Agent Lightning is the absolute trainer to light up AI agents.
 - [Train SQL Agent with RL](how-to/train-sql-agent.md) - A practical example of training a SQL agent
 - [API Reference](reference/core.md) - Complete API documentation
 
+## Resources
+
+- 8/5/2025 [Agent Lightning: Train ANY AI Agents with Reinforcement Learning](https://arxiv.org/abs/2508.03680) arXiv paper.
+- 7/26/2025 [We discovered an approach to train any AI agent with RL, with (almost) zero code changes.](https://www.reddit.com/r/LocalLLaMA/comments/1m9m670/we_discovered_an_approach_to_train_any_ai_agent/) Reddit.
+- 6/6/2025 [Agent Lightning - Microsoft Research](https://www.microsoft.com/en-us/research/project/agent-lightning/) Project page.
+
+## Citation
+
+If you find Agent Lightning useful in your research or projects, please cite our paper:
+
+```bibtex
+@misc{luo2025agentlightningtrainai,
+      title={Agent Lightning: Train ANY AI Agents with Reinforcement Learning}, 
+      author={Xufang Luo and Yuge Zhang and Zhiyuan He and Zilong Wang and Siyun Zhao and Dongsheng Li and Luna K. Qiu and Yuqing Yang},
+      year={2025},
+      eprint={2508.03680},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2508.03680}, 
+}
+```
+
 ## License
 
 See the [LICENSE](https://github.com/microsoft/agent-lightning/blob/main/LICENSE) file for details.