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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="
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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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## 🌻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
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