---
title: "Who cites CRISP: Compressed Reasoning — 17 citing papers"
description: "17 papers of the Elamur Research library cite «CRISP: Compressed Reasoning via Iterative Self-Policy Distillation», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/sang-2026-crisp-compressed-reasoning-iterative-self/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/sang-2026-crisp-compressed-reasoning-iterative-self/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [CRISP: Compressed Reasoning via Iterative…](https://md.research.elamur.ai/free/en/papers/sang-2026-crisp-compressed-reasoning-iterative-self/) / cited by

# Who cites «CRISP: Compressed Reasoning via Iterative Self-Policy Distillation»

17 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «CRISP: Compressed Reasoning via Iterative Self-Policy Distillation»](https://md.research.elamur.ai/free/en/papers/sang-2026-crisp-compressed-reasoning-iterative-self/)

1. [**Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe arXiv:2604.13016**Yaxuan Li, Yuxin Zuo, Bingxiang He, et al.*2026 · 58 citations*](https://md.research.elamur.ai/free/en/papers/li-2026-rethinking-policy-distillation-large-language/)
2. [**A Survey of On-Policy Distillation for Large Language Models arXiv:2604.00626**Mingyang Song, Mao Zheng*2026 · 41 citations*](https://md.research.elamur.ai/free/en/papers/song-2026-survey-policy-distillation-large-language/)
3. [**Self-Distilled RLVR arXiv:2604.03128**Chenxu Yang, Chuanyu Qin, Qingyi Si, et al.*2026 · 37 citations*](https://md.research.elamur.ai/free/en/papers/yang-2026-self-distilled-rlvr/)
4. [**TIP: Token Importance in On-Policy Distillation arXiv:2604.14084**Yuanda Xu, Hejian Sang, Zhengze Zhou, et al.*2026 · 17 citations*](https://md.research.elamur.ai/free/en/papers/xu-2026-tip-token-importance-policy-distillation/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/sang-2026-crisp-compressed-reasoning-iterative-self/) — CRISP: Compressed Reasoning via Iterative Self-Policy Distillation