修改论文引用

README.md

@@ -10,7 +10,7 @@ instruct_model:
 
 # <img src="assets/youtu-llm-logo.png" alt="Youtu-LLM Logo" height="100px">
 
-[📃 License](LICENSE.txt) • [💻 Code](https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm) • [📑 Technical Report](https://github.com/TencentCloudADP/youtu-tip/blob/master/youtu-llm/assets/Youtu-LLM_Technical_Report.pdf) • [📊 Benchmarks](#benchmarks)
+[📃 License](LICENSE.txt) • [💻 Code](https://github.com/TencentCloudADP/youtu-tip/tree/master/youtu-llm) • [📑 Technical Report](https://arxiv.org/abs/2512.24618) • [📊 Benchmarks](#benchmarks)
 
 </div>
 
@@ -67,3 +67,16 @@ We takes [APTBench](https://github.com/TencentYoutuResearch/APTBench/) for evalu
 | Deep Research | 28.5% | 27.2% | 36.4% | **40.5%** | 30.0% | <u>38.6%</u> |
 | Math | 59.9% | 60.7% | 59.8% | **70.5%** | 60.1% | <u>68.0%</u> |
 | Tool | 56.7% | 59.1% | 61.7% | **65.8%** | 64.1% | <u>64.2%</u> |
+
+## Citation
+If you find our work useful in your research, please consider citing the following paper:
+
+@article{youtu-llm,
+  title={Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models},
+  author={Tencent Youtu Lab},
+  year={2025},
+  eprint={2512.24618},
+  archivePrefix={arXiv},
+  primaryClass={cs.CL},
+  url={https://arxiv.org/abs/2512.24618}, 
+}