From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents
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
Record details
Published: 27 March 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (27 March 2026), “From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents,” evidence record 6652, https://ethics.ai/record/6652 (originally published by arXiv).
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