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  <h3 align="center">Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents</h3>
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  <p align="center">
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- <a href="#">📄 arXiv</a> •
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  <a href="https://github.com/hkust-nlp/SSPO">💻 Code</a> •
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  <a href="https://huggingface.co/datasets/WaitHZ/SSPO-data">🤗 Dataset</a>
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  </p>
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  ## 🚩Citation
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  ```bib
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-
 
 
 
 
 
 
 
 
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  ```
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  ## 🌻Acknowledgement
 
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  <h3 align="center">Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents</h3>
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  <p align="center">
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+ <a href="https://arxiv.org/abs/2608.12764">📄 arXiv</a> •
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  <a href="https://github.com/hkust-nlp/SSPO">💻 Code</a> •
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  <a href="https://huggingface.co/datasets/WaitHZ/SSPO-data">🤗 Dataset</a>
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  </p>
 
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  ## 🚩Citation
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  ```bib
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+ @misc{wu2026outcomerewardssteplevelselfdistilled,
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+ title={Beyond Outcome Rewards: Step-Level Self-Distilled Policy Optimization for Deep Search Agents},
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+ author={Haoze Wu and Chuqiao Kuang and Tianyi Zhuang and Xiaoguang Li},
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+ year={2026},
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+ eprint={2608.12764},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2608.12764},
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+ }
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  ```
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  ## 🌻Acknowledgement