---
title: "Who cites Entropy Ratio Clipping as a Soft — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Entropy Ratio Clipping as a Soft Global…](https://md.research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/) / cited by

# Who cites «Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «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/)

1. **[Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/mei-2026-good-reasoning-makes-good-demonstrations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tiehua Mei, Minxuan Lv, Leiyu Pan, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/su-2026-entropy-ratio-clipping-as-soft/) — Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning