Update README.md

README.md

@@ -106,6 +106,21 @@ Beyond trajectory-level validation, we employ fine-grained turn-level filtering
 
 While we place great emphasis on the safety of the model during the training process, striving to ensure that its outputs align with ethical and legal requirements, it may not completely avoid generating unexpected outputs due to the model's size and probabilistic nature. These outputs may include harmful content such as bias or discrimination. Please don't propagate such content. We do not assume any responsibility for the consequences resulting from the dissemination of inappropriate information.
 
+# Citation
+If you find our verifiers useful or want to use it in your projects, please kindly cite this Huggingface project.
+
+<pre><code>
+@misc{yang2025toolmindtechnicalreportlargescale,
+      title={ToolMind Technical Report: A Large-Scale, Reasoning-Enhanced Tool-Use Dataset}, 
+      author={Chen Yang and Ran Le and Yun Xing and Zhenwei An and Zongchao Chen and Wayne Xin Zhao and Yang Song and Tao Zhang},
+      year={2025},
+      eprint={2511.15718},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2511.15718}, 
+}
+</code></pre>
+
+
 # Other Information
-If you find our dataset useful or want to use it in your projects, please kindly cite this Huggingface project.
 If you have any questions, please raise an issue or contact us at nanbeige@126.com.