agent/papers/items/2026-2606-18406-coremem-riemannian-retrieval-and-fisher-guided-distillation-for-long-term-memory.md

Paper: CoreMem: Riemannian Retrieval and Fisher-Guided Distillation for Long-Term Memory in Dialogue Agents

---

type: paper title: "CoreMem: Riemannian Retrieval and Fisher-Guided Distillation for Long-Term Memory in Dialogue Agents" authors: Jiaqi Chen, Yongqin Zeng, Shaoshen Chen, Yijian Zhang, Hai-Tao Zheng, Chunxia Ma, XiuTeng Zhou year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.18406 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-16 updated_at: 2026-06-16 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• memory
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: agent-memory

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-memory
• inferred topics: agent-evaluation, computer-use, memory, rag, reasoning, tool-use
• arXiv categories: cs.CL
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.18406