agent/papers/items/2026-2607-01061-agentic-generation-of-verifiable-rules-for-deterministic-self-expanding-reaction.md

Paper: Agentic generation of verifiable rules for deterministic, self-expanding reaction classification

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type: paper title: Agentic generation of verifiable rules for deterministic, self-expanding reaction classification authors: Daniel Armstrong, Maarten Dobbelaere, Valentas Olikauskas, Helena Avila, Octavian Susanu, Jérôme Waser, Philippe Schwaller year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.01061 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-01 updated_at: 2026-07-05 status: queued relevance: high topics:

• coding-agent
• multi-agent
• planning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 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: coding-agent, multi-agent, planning, tool-use
• arXiv categories: cs.AI, 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/2607.01061