Detecting Hallucination in LLMs: Tracing the Topological Signatures of Impaired Context Sharing

Leveraging topological data analysis to decode the structural origins of LLM hallucinations.

In this work, we examine the topology of information flow patterns within attention graphs to effectively distinguish hallucinated from non-hallucinated responses. We analyze the Forman-Ricci curvature to identify structural patterns indicating information bottlenecks in attentio...

ArXiv CS.AI2026-09-21