Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents

By: Sourena Khanzadeh

Published: 2026-01-06

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Abstract

This research presents Project Ariadne, proposing a structural causal framework to audit the faithfulness of Large Language Model (LLM) agents. This is crucial for ensuring that LLM agents provide accurate and grounded outputs, enhancing trust in their applications.

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Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents | ArXiv Intelligence