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  [![🏆 Leaderboard](https://img.shields.io/badge/🏆_Leaderboard-DataClawBench-red)](https://gtmllab.github.io/DataClaw/)
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  [![GitHub](https://img.shields.io/badge/GitHub-GTML--LAB%2FDataClawBench-181717?logo=github)](https://github.com/GTML-LAB-sysu/DataClaw)
 
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  ![Tasks](https://img.shields.io/badge/Tasks-492-blue)
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  ![Categories](https://img.shields.io/badge/Categories-7-green)
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  > Except for the 39 `international_comparison` tasks, all others are explicitly restricted in the current task spec to use only `./database/`, with no web search.
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  ## 🙏 Acknowledgements
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  DataClawBench is jointly released by Prof. Chuan Chen's team at the School of Computer Science, Sun Yat-sen University, and the Southern Weekly Sci-Tech Power Research Center. We sincerely thank the Southern Weekly Sci-Tech Power Research Center for providing invaluable data and tremendous support.
 
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  [![🏆 Leaderboard](https://img.shields.io/badge/🏆_Leaderboard-DataClawBench-red)](https://gtmllab.github.io/DataClaw/)
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  [![GitHub](https://img.shields.io/badge/GitHub-GTML--LAB%2FDataClawBench-181717?logo=github)](https://github.com/GTML-LAB-sysu/DataClaw)
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+ [![arXiv](https://img.shields.io/badge/arXiv-2605.02503-b31b1b)](https://arxiv.org/abs/2605.02503)
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  ![Tasks](https://img.shields.io/badge/Tasks-492-blue)
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  ![Categories](https://img.shields.io/badge/Categories-7-green)
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  > Except for the 39 `international_comparison` tasks, all others are explicitly restricted in the current task spec to use only `./database/`, with no web search.
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+ ## 📄 Citation
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+ If you use DataClawBench in your research, please cite our paper
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+ [**DataClawBench: An Agent Benchmark for Exploratory Real-World Financial Data Analysis**](https://arxiv.org/abs/2605.02503) (arXiv:2605.02503).
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  ## 🙏 Acknowledgements
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  DataClawBench is jointly released by Prof. Chuan Chen's team at the School of Computer Science, Sun Yat-sen University, and the Southern Weekly Sci-Tech Power Research Center. We sincerely thank the Southern Weekly Sci-Tech Power Research Center for providing invaluable data and tremendous support.