---
title: "Who cites CriticSearch: Fine-Grained Credit — 6 citing papers"
description: "6 papers of the Elamur Research library cite «CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic»…"
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---
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# Who cites «CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic»](https://md.research.elamur.ai/free/en/papers/zhang-2026-criticsearch-fine-grained-credit-assignment/)

1. **[TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization](https://md.research.elamur.ai/free/en/papers/ma-2026-tspo-breaking-double-homogenization-dilemma/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shichao Ma, Zhiyuan Ma, Ming Yang, et al.*2026 · 7 citations*
2. **[MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching](https://md.research.elamur.ai/free/en/papers/qu-2026-matchtir-fine-grained-supervision-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Changle Qu, Sunhao Dai, Hengyi Cai, et al.*2026 · 1 citation*
3. **[Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization](https://md.research.elamur.ai/free/en/papers/wang-2026-enhancing-llm-based-search-agents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2026-criticsearch-fine-grained-credit-assignment/) — CriticSearch: Fine-Grained Credit Assignment for Search Agents via a Retrospective Critic