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@@ -186,6 +186,15 @@ print("RM Scores:", scores)
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  Please refer to [https://github.com/LARK-AI-Lab/CodeScaler](https://github.com/LARK-AI-Lab/CodeScaler) for rl training details.
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  ## Citation
 
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  ```
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-
 
 
 
 
 
 
 
 
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  ```
 
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  Please refer to [https://github.com/LARK-AI-Lab/CodeScaler](https://github.com/LARK-AI-Lab/CodeScaler) for rl training details.
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  ## Citation
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+ If you find our work helpful, please consider citing:
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  ```
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+ @misc{zhu2026codescalerscalingcodellm,
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+ title={CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models},
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+ author={Xiao Zhu and Xinyu Zhou and Boyu Zhu and Hanxu Hu and Mingzhe Du and Haotian Zhang and Huiming Wang and Zhijiang Guo},
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+ year={2026},
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+ eprint={2602.17684},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2602.17684},
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+ }
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  ```