add paper link/ref

main.py

@@ -426,7 +426,7 @@ def main():
             gr.Textbox(
                 value=CITATION_BUTTON_TEXT,
                 label=CITATION_BUTTON_LABEL,
-                lines=5,
+                lines=7,
                 elem_id="citation-button",
                 show_copy_button=True,
             )

website_texts.py

@@ -42,7 +42,7 @@ types and thus provides a reference for model-specific pipelines.
 
 ABOUT_TEXT = r"""
 ### Extended Overview of TabArena (References / Papers)
-We introduce TabArena and provide an overview of TabArena-v0.1 in our paper: TBA.
+We introduce TabArena and provide an overview of TabArena-v0.1 in our paper: https://tabarena.ai/paper-tabular-ml-iid-study.
 
 ### Using TabArena for Benchmarking
 To compare your own methods to the pre-computed results for all models on the leaderboard,
@@ -51,7 +51,7 @@ please see https://tabarena.ai/code-examples
 
 ### Contributing to the Leaderboard; Contributing Models
 For guidelines on how to contribute your model to TabArena, or the result of your model
-to the official leaderboard, please see the appendix of our paper: TBA.
+to the official leaderboard, please see the appendix of our paper: https://tabarena.ai/paper-tabular-ml-iid-study.
 
 ### Contributing Data
 For anything related to the datasets used in TabArena, please see https://tabarena.ai/data-tabular-ml-iid-study
@@ -114,8 +114,12 @@ The current core maintainers of TabArena are:
 CITATION_BUTTON_LABEL = (
     "If you use TabArena or the leaderboard in your research please cite the following:"
 )
-CITATION_BUTTON_TEXT = r"""@article{
-    TBA,
+CITATION_BUTTON_TEXT = r"""@article{erickson2025tabarena,
+  title={TabArena: A Living Benchmark for Machine Learning on Tabular Data}, 
+  author={Nick Erickson and Lennart Purucker and Andrej Tschalzev and David Holzmüller and Prateek Mutalik Desai and and David Salinas and Frank Hutter},
+  year={2025},
+  journal={arXiv preprint arXiv:2506.16791},
+  url={https://arxiv.org/abs/2506.16791}, 
 }
 """