added bibtex info

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 title = "`freephdlabor`: customizing your own research lab to do scientific research in your field 24/7"
 
 description = """
-**Free PhD Labor** is a fully customizable multiagent framework with dynamic workflows for autonomous scientific research - from idea to publication.
+**freephdlabor** is a fully customizable multiagent framework with dynamic workflows for autonomous scientific research - from idea to publication.
 
 Build your personalized AI research group that automates continual, interactive scientific research.
 
@@ -15,7 +15,7 @@ Build your personalized AI research group that automates continual, interactive
 - **End-to-End Automation**: From idea conception to LaTeX-formatted papers with figures and citations
 
 ### Links
-- 📄 [arXiv Paper](https://arxiv.org/abs/2510.15624)
+- 📄 [technical report](https://arxiv.org/abs/2510.15624)
 - 💻 [GitHub Repository](https://github.com/ltjed/freephdlabor)
 - 📝 [Blog Post](https://freephdlabor.github.io)
 """
@@ -35,15 +35,23 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     </div>
     """)
 
-    gr.Markdown("## 📄 Research Paper")
+    gr.Markdown("## 📄 Technical Report")
     gr.Markdown("""
-    **Paper Title:** Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation
+    **Technical Report Title:** Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation
 
     [View PDF on arXiv](https://arxiv.org/pdf/2510.15624)
     """)
 
-    gr.Markdown("---")
-    gr.Markdown("freephdlabor team")
+    gr.Markdown("## 📝 Citation")
+    gr.Code("""@misc{li2025buildpersonalizedresearchgroup,
+      title={Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation},
+      author={Ed Li and Junyu Ren and Xintian Pan and Cat Yan and Chuanhao Li and Dirk Bergemann and Zhuoran Yang},
+      year={2025},
+      eprint={2510.15624},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2510.15624},
+}""", language="bibtex", label="BibTeX")
 
 if __name__ == "__main__":
     demo.launch()