Process-Coupled State Dynamics
Investigating how reasoning traces in large language models exhibit state dynamics that couple to the generative process itself — not just the content being discussed.
Our core research question: when an AI model reasons in extended thinking traces, do the patterns of that reasoning carry process-level information beyond semantic content?
This includes measures of coherence, certainty, and stylistic stability across extended reasoning sequences, and how these metrics shift under different experimental conditions.