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@@ -112,17 +112,18 @@ outputs = model.generate(**inputs, max_new_tokens=100)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  ```
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  ## Citation
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  ```bibtex
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- @article{ouro2025,
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  title={Scaling Latent Reasoning via Looped Language Models},
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- author={Zhu, Rui-Jie and Wang, Zixuan and Hua, Kai and Zhang, Tianyu and Li, Ziniu and Que, Haoran and Wei, Boyi and Yin, Fan and Wen, Zixin and Xing, He and others},
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- journal={arXiv preprint},
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  year={2025}
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  }
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- ```
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  ## License
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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  ```
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+ ## Acknowledgments
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+ We thank [@Antizana](https://github.com/Antizana) for the KV cache fix merged from [ouro-cache-fix](https://github.com/Antizana/ouro-cache-fix), which resolved a critical compatibility issue with transformers>=4.56.0.
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  ## Citation
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  ```bibtex
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+ @article{zhu2025scaling,
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  title={Scaling Latent Reasoning via Looped Language Models},
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+ author={Zhu, Rui-Jie and Wang, Zixuan and Hua, Kai and Zhang, Tianyu and Li, Ziniu and Que, Haoran and Wei, Boyi and Wen, Zixin and Yin, Fan and Xing, He and others},
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+ journal={arXiv preprint arXiv:2510.25741},
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  year={2025}
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  }
 
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  ## License
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