agent/papers/items/2026-2607-01767-repair-the-amplifier-not-the-symptom-stable-world-model-correction-for-agent-rol.md

Paper: Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts

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type: paper title: "Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts" authors: Xinyuan Song, Zekun Cai year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.01767 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-02 updated_at: 2026-07-05 status: queued relevance: high topics:

• agent-evaluation
• memory
• planning
• tool-use
• world-model methods:

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: language-agent

One-line Takeaway

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

Why Collected

• matched queries: language-agent
• inferred topics: agent-evaluation, memory, planning, tool-use, world-model
• arXiv categories: 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/2607.01767