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@@ -97,4 +97,13 @@ This project is licensed under the Apache-2.0 License.
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  ## Reference
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  Amazon Science blog: [Mitra: Mixed synthetic priors for enhancing tabular foundation models](https://www.amazon.science/blog/mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models?utm_campaign=mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models&utm_medium=organic-asw&utm_source=linkedin&utm_content=2025-7-22-mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models&utm_term=2025-july)
 
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  ## Reference
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+ ```
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+ @article{zhang2025mitra,
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+ title={Mitra: Mixed synthetic priors for enhancing tabular foundation models},
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+ author={Zhang, Xiyuan and Maddix, Danielle C and Yin, Junming and Erickson, Nick and Ansari, Abdul Fatir and Han, Boran and Zhang, Shuai and Akoglu, Leman and Faloutsos, Christos and Mahoney, Michael W and others},
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+ journal={arXiv preprint arXiv:2510.21204},
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+ year={2025}
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+ }
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+ ```
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+
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  Amazon Science blog: [Mitra: Mixed synthetic priors for enhancing tabular foundation models](https://www.amazon.science/blog/mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models?utm_campaign=mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models&utm_medium=organic-asw&utm_source=linkedin&utm_content=2025-7-22-mitra-mixed-synthetic-priors-for-enhancing-tabular-foundation-models&utm_term=2025-july)