---
title: "Who cites Towards Agentic RAG with Deep — 15 citing papers"
description: "15 papers of the Elamur Research library cite «Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs»…"
canonical: "https://research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/cited-by/"
---
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# Who cites «Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs»

15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs»](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/)

1. **[From RAG to Agentic RAG for Faithful Islamic Question Answering](https://md.research.elamur.ai/free/en/papers/bhatia-2026-rag-agentic-rag-faithful-islamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gagan Bhatia, Hamdy Mubarak, Mustafa Jarrar, et al.*2026 · 8 citations*
2. **[GAM: Hierarchical Graph-based Agentic Memory for LLM Agents](https://md.research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaofen Wu, Hanrong Zhang, Fulin Lin, et al.*2026 · 5 citations*
3. **[AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/tsang-2026-autograph-r1-end-end-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.*2026 · 4 citations*
4. **[Test-time Corpus Feedback: From Retrieval to RAG](https://md.research.elamur.ai/free/en/papers/rathee-2026-test-time-corpus-feedback-retrieval/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mandeep Rathee, Venktesh V, Sean MacAvaney, et al.*2026 · 4 citations*
5. **[Context-attended Adversarial Reinforcement Learning for Robust Multi-step Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/ren-2026-context-attended-adversarial-reinforcement-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingtao Ren, Xiao Luo, Yu-Cheng Chang, et al.*2026 · 1 citation*
6. **[Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning](https://md.research.elamur.ai/free/en/papers/men-2026-empowering-gui-agents-autonomous-experience/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Men, Zhuoran Jin, Pengfei Cao, et al.*2026*
7. **[SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction](https://md.research.elamur.ai/free/en/papers/wang-2026-sr-rag-verifiable-multi-hop/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehua Wang, Zhaojin Zhang, Boyu Qiu, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/) — Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs