agent/papers/items/2026-2605-17348-taming-zombie-agents-a-markov-state-aware-framework-for-resilient-multi-agent-ev.md

Paper: Taming "Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution

---

type: paper title: "Taming "Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution" authors: Taolin Zhang, Pukun Zhao, Qizhou Chen, Jiuheng Wan, Chen Chen, Xiaofeng He, Chengyu Wang, Richang Hong year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.17348 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-17 updated_at: 2026-05-17 status: queued relevance: high topics:

• agent-safety
• memory
• multi-agent
• reasoning 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-safety, memory, multi-agent, reasoning
• 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/2605.17348