Deep LearningUnlocking the Spectral Geometry of Thought in Large Language Models
Recent breakthroughs reveal that Large Language Models undergo structural phase transitions in their hidden activation spaces during complex reasoning. By mapping the spectral geometry of these token trajectories, we can now predict exact model correctness before the final output is generated.







