{
  "id": 6652,
  "url": "https://arxiv.org/abs/2604.19775v2",
  "title": "From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents",
  "summary": "Large Language Models (LLMs) are increasingly deployed as autonomous agents capable of reasoning, planning, and acting within interactive environments. Despite their growing capability to perform multi-step reasoning and decision-making tasks, internal mechanisms guiding their sequential behavior remain opaque. This paper presents a framework for interpreting the temporal evolution of concepts in LLM agents through a step-wise conformal lens. We introduce the conformal interpretability framework",
  "authors": "Trilok Padhi, Ramneet Kaur, Krishiv Agarwal, Adam D. Cobb, Daniel Elenius, Manoj Acharya et al.",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-27T22:29:01.000Z",
  "fetched_at": "2026-07-14T16:32:37.311Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6652",
  "original_url": "https://arxiv.org/abs/2604.19775v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}