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Updated Bibtex

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@@ -155,12 +155,11 @@ The metadata describes the global topology of each sample through its total genu
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  If you use DONUT, please cite the paper [FILTR: Extracting Topological Features from Pretrained 3D Models](https://arxiv.org/abs/2604.22334):
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  ```bibtex
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- @misc{martinez2026filtr,
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  title={FILTR: Extracting Topological Features from Pretrained 3D Models},
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- author={Martinez, Louis and Ovsjanikov, Maks},
 
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  year={2026},
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- eprint={2604.22334},
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- archivePrefix={arXiv},
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  url={https://arxiv.org/abs/2604.22334}
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  }
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  ```
 
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  If you use DONUT, please cite the paper [FILTR: Extracting Topological Features from Pretrained 3D Models](https://arxiv.org/abs/2604.22334):
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  ```bibtex
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+ @inproceedings{Martinez2026FILTR,
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  title={FILTR: Extracting Topological Features from Pretrained 3D Models},
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+ author={Louis Martinez and Maks Ovsjanikov},
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+ booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
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  year={2026},
 
 
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  url={https://arxiv.org/abs/2604.22334}
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  }
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  ```