model dynamics

Hallucination as Trajectory Commitment: Causal Evidence for Asymmetric Attractor Dynamics in Transformer Generation

This paper presents causal evidence that hallucination in autoregressive language models is an early trajectory commitment governed by asymmetric attractor dynamics. The research shows that factual and hallucinated trajectories diverge at the very first token, and correcting a hallucinated path requires sustained multi-step intervention, whereas corruption needs less effort.