{
  "id": 237,
  "url": "https://arxiv.org/abs/2607.04240v1",
  "title": "Biological Motifs for Agentic Control",
  "summary": "The transition of Large Language Models (LLMs) from passive generators to autonomous agents has introduced significant challenges in reliability, security, and state management. Current agentic architectures are often constructed ad-hoc, prone to hallucination cascades, infinite loops, and prompt injection attacks. This paper argues that many of these failure modes can be analyzed using control motifs long studied in systems biology, provided the comparison is made at the level of typed interfac",
  "authors": "Bogdan Banu",
  "category": "research",
  "topics": "agents-autonomy,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-05T11:30:45.000Z",
  "fetched_at": "2026-07-14T14:14:24.247Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/237",
  "original_url": "https://arxiv.org/abs/2607.04240v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}