--- title: "Who cites Ring-lite: Scalable Reasoning via — 5 citing papers" description: "5 papers of the Elamur Research library cite «Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs», found in their…" canonical: "https://research.elamur.ai/free/en/papers/ling-team-2025-ring-lite-scalable-reasoning/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/ling-team-2025-ring-lite-scalable-reasoning/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Ring-lite: Scalable Reasoning via C3PO-Stabilized…](https://md.research.elamur.ai/free/en/papers/ling-team-2025-ring-lite-scalable-reasoning/) / cited by # Who cites «Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs» 5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs»](https://md.research.elamur.ai/free/en/papers/ling-team-2025-ring-lite-scalable-reasoning/) 1. **[Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenpeng Su, Leiyu Pan, Minxuan Lv, et al.*2026 · 1 citation* 2. **[Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/zhang-2026-stable-effective-reinforcement-learning-mixture/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Zhang, Xun Wu, Shaohan Huang, et al.*2026 · 1 citation* 3 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/ling-team-2025-ring-lite-scalable-reasoning/) — Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs