agent/papers/items/2026-2605-11388-deep-reasoning-in-general-purpose-agents-via-structured-meta-cognition.md

Paper: Deep Reasoning in General Purpose Agents via Structured Meta-Cognition

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type: paper title: Deep Reasoning in General Purpose Agents via Structured Meta-Cognition authors: Dean Light, Michael Theologitis, Kshitish Ghate, Shuyue Stella Li, Benjamin Newman, Chirag Shah, Aylin Caliskan, Pang Wei Koh, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.11388 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-12 updated_at: 2026-05-12 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• planning
• rag
• reasoning methods:

benchmarks:

models:

datasets:

• cs.CL
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: planning-agent

One-line Takeaway

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

Why Collected

• matched queries: planning-agent
• inferred topics: agent-evaluation, computer-use, planning, rag, reasoning
• arXiv categories: cs.CL, cs.AI
• 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/2605.11388