agent/papers/items/2026-2607-16708-model-driven-discipline-for-multi-agent-llms-requirement-to-verification-generat.md

Paper: Model-Driven Discipline for Multi-Agent LLMs: Requirement-to-Verification Generation of Traceable System Models

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type: paper title: "Model-Driven Discipline for Multi-Agent LLMs: Requirement-to-Verification Generation of Traceable System Models" authors: Ran Wei, Le Zhu, Haochi Wang, Ruizhe Yang, Jiapeng Guan, Siyuan Ji, Yuchen Hu, Zhe Jiang, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.16708 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-18 updated_at: 2026-07-18 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: multi-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: multi-agent-llm
• inferred topics: agent-evaluation, agent-safety, multi-agent, tool-use
• arXiv categories: cs.SE
• 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/2607.16708