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  # CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
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  <div align="center">
 
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  <a href="http://kausable.github.io/CausalDynamics"><img src="https://img.shields.io/badge/View-Documentation-blue?style=for-the-badge)" alt="Homepage"/></a>
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  <!-- <a href="<ADD_LINK>"><img src="https://img.shields.io/badge/ArXiV-2402.00712-b31b1b.svg" alt="arXiv"/></a> -->
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  <a href="https://huggingface.co/datasets/kausable/CausalDynamics"><img src="https://img.shields.io/badge/Dataset-HuggingFace-ffd21e" alt="Huggingface Dataset"/></a>
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  ## Installation
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  ### Using pip
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- `causaldynamics` is available on [PyPi](https://pypi.org/project/causaldynamics/), so you can use pip to install `causaldynamics`, which currently requires Python version `3.10`.
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  ```bash
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  pip install causaldynamics
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  ## Citation
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  If you find any of the code and dataset useful, feel free to acknowledge our work through:
 
 
 
 
 
 
 
 
 
 
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  # CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
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+ <div align="center">
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+ <h3>NeurIPS 2025</h3>
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+ </div>
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+
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  <div align="center">
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+ <a href="https://arxiv.org/abs/2505.16620"><img src="https://img.shields.io/badge/arXiv-2505.16620-b31b1b.svg" alt="arXiv"/></a>
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  <a href="http://kausable.github.io/CausalDynamics"><img src="https://img.shields.io/badge/View-Documentation-blue?style=for-the-badge)" alt="Homepage"/></a>
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  <!-- <a href="<ADD_LINK>"><img src="https://img.shields.io/badge/ArXiV-2402.00712-b31b1b.svg" alt="arXiv"/></a> -->
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  <a href="https://huggingface.co/datasets/kausable/CausalDynamics"><img src="https://img.shields.io/badge/Dataset-HuggingFace-ffd21e" alt="Huggingface Dataset"/></a>
 
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  ## Installation
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  ### Using pip
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+ *CausalDynamics* is available on [PyPi](https://pypi.org/project/causaldynamics/), so you can use pip to install `causaldynamics`, which currently requires Python version `3.10`.
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  ```bash
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  pip install causaldynamics
 
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  ## Citation
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  If you find any of the code and dataset useful, feel free to acknowledge our work through:
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+
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+ ```bibtex
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+ @article{herdeanu2025causaldynamics,
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+ title={CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models},
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+ author={Herdeanu, Benjamin and Nathaniel, Juan and Roesch, Carla and Buch, Jatan and Ramien, Gregor and Haux, Johannes and Gentine, Pierre},
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+ journal={arXiv preprint arXiv:2505.16620},
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+ year={2025}
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+ }
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+ ```