agent/papers/items/2026-2607-00334-managed-autonomy-at-runtime-gear-based-safety-and-governance-for-single-and-mult.md

Paper: Managed Autonomy at Runtime: Gear-Based Safety and Governance for Single- and Multi-Agent Cyber-Physical Systems

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type: paper title: "Managed Autonomy at Runtime: Gear-Based Safety and Governance for Single- and Multi-Agent Cyber-Physical Systems" authors: Srini Ramaswamy, Wang Miaosheng year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.00334 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-01 updated_at: 2026-07-01 status: queued relevance: high topics:

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

benchmarks:

models:

datasets:

• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 17 collection_queries: autonomous-agent-llm, multi-agent-llm

One-line Takeaway

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

Why Collected

• matched queries: autonomous-agent-llm, multi-agent-llm
• inferred topics: agent-evaluation, agent-safety, embodied-agent, multi-agent, planning, tool-use
• arXiv categories: cs.AI
• collection score: 17

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/2607.00334