agent/papers/items/2026-2607-01641-when-agents-do-not-stop-uncovering-infinite-agentic-loops-in-llm-agents.md

Paper: When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents

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type: paper title: "When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents" authors: Xinyi Hou, Shenao Wang, Yanjie Zhao, Haoyu Wang year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.01641 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-02 updated_at: 2026-07-02 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• planning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 21 collection_queries: llm-agent, planning-agent, tool-use

One-line Takeaway

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

Why Collected

• matched queries: llm-agent, planning-agent, tool-use
• inferred topics: agent-evaluation, multi-agent, planning, tool-use, workflow-agent
• arXiv categories: cs.SE
• collection score: 21

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/2607.01641