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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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  ## Technical Specifications [optional]
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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-
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- @misc{hsu2026evenetfoundationmodelparticle,
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- title={EveNet: A Foundation Model for Particle Collision Data Analysis},
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- author={Ting-Hsiang Hsu and Bai-Hong Zhou and Qibin Liu and Yue Xu and Shu Li and George Wei-Shu Hou and Benjamin Nachman and Shih-Chieh Hsu and Vinicius Mikuni and Yuan-Tang Chou and Yulei Zhang},
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- year={2026},
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- eprint={2601.17126},
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- archivePrefix={arXiv},
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- primaryClass={hep-ex},
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- url={https://arxiv.org/abs/2601.17126},
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  }
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  **APA:**
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  [More Information Needed]
 
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  ## Technical Specifications [optional]
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+ ## 📄 Citation
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+ If you use this model, please cite:
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+ ```bibtex
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+ @article{zhang2026evenet,
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+ title={EveNet: A Foundation Model for Particle Collision Data Analysis},
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+ author={Zhang, Yulei and others},
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+ journal={arXiv preprint arXiv:2601.17126},
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+ year={2026}
 
 
 
 
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  }
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  **APA:**
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  [More Information Needed]