agent/papers/items/2026-2607-05794-from-passive-retrieval-to-active-memory-navigation-learning-to-use-memory-as-a-s.md

Paper: From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space

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type: paper title: "From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space" authors: Yue Xu, Yutao Sun, Yihao Liu, Mengyu Zhou, Jiayi Qiao, Lu Ma, Kai Tang, Wenjie Wang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.05794 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-07 updated_at: 2026-07-07 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

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related_projects:

collection_score: 13 collection_queries: tool-use

One-line Takeaway

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

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, embodied-agent, memory, rag, reasoning, tool-use
• arXiv categories: cs.AI
• collection score: 13

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/2607.05794