🔗 Who cites «Scaling Reasoning Efficiently via Relaxed On-Policy Distillation»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Scaling Reasoning Efficiently via Relaxed On-Policy Distillation»

1. Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and RecipearXiv:2604.13016Yaxuan Li, Yuxin Zuo, Bingxiang He, et al.2026 · 58 citations
2. A Survey of On-Policy Distillation for Large Language ModelsarXiv:2604.00626Mingyang Song, Mao Zheng2026 · 41 citations
3. Revisiting On-Policy Distillation: Empirical Failure Modes and Simple FixesarXiv:2603.25562Yuqian Fu, Haohuan Huang, Kaiwen Jiang, et al.2026 · 31 citations
4. KL for a KL: On-Policy Distillation with Control Variate BaselinearXiv:2605.07865Minjae Oh, Sangjun Song, Gyubin Choi, et al.2026 · 8 citations
5. When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for ReasoningarXiv:2605.21606Xiaogeng Liu, Xinyan Wang, Yingzi Ma, et al.2026 · 8 citations
6. Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective RecipearXiv:2605.03677Wenjin Hou, Shangpin Peng, Weinong Wang, et al.2026 · 6 citations

12 more papers of our library cite it; they have no page here yet.

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