---
title: "Who cites GAM: Hierarchical Graph-based — 4 citing papers"
description: "4 papers of the Elamur Research library cite «GAM: Hierarchical Graph-based Agentic Memory for LLM Agents», found in their bibliographies…"
canonical: "https://research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [GAM: Hierarchical Graph-based Agentic Memory for…](https://md.research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/) / cited by

# Who cites «GAM: Hierarchical Graph-based Agentic Memory for LLM Agents»

4 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 «GAM: Hierarchical Graph-based Agentic Memory for LLM Agents»](https://md.research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/)

1. **[QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/min-2026-quco-rag-quantifying-uncertainty-pre/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dehai Min, Kailin Zhang, Tongtong Wu, et al.*2026 · 2 citations*
2. **[Bounded Conversational Memory with Hybrid Retrieval and Evidence Highlighting for Multi-Session Dialogue Systems](https://md.research.elamur.ai/free/en/papers/mudunuri-2026-bounded-conversational-memory-hybrid-retrieval/) [Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)](https://md.research.elamur.ai/free/en/venues/sigdial/)**Manasa Mudunuri, Chandra Kiran Guntupalli, Shiraj Pokharel, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wu-2026-gam-hierarchical-graph-based-agentic/) — GAM: Hierarchical Graph-based Agentic Memory for LLM Agents