agent/papers/items/2026-2606-12563-arbor-tree-search-as-a-cognition-layer-for-autonomous-agents.md

Paper: Arbor: Tree Search as a Cognition Layer for Autonomous Agents

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type: paper title: "Arbor: Tree Search as a Cognition Layer for Autonomous Agents" authors: Neha Prakriya, Chaojun Hou, Zheng Gong, Huasha Zhao, Xi Zhao, Mou Li, Zhenyu Gu, Emad Barsoum year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.12563 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-10 updated_at: 2026-06-10 status: queued relevance: high topics:

• agent-evaluation
• memory
• multi-agent
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: autonomous-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: autonomous-agent-llm
• inferred topics: agent-evaluation, memory, multi-agent, tool-use
• arXiv categories: cs.AI
• collection score: 14

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/2606.12563