Spectral Phase Transitions in Generalization

We develop a phase-transition theory of generalization based on spectral order parameters. Instead of smooth monotonic scaling, we show that model performance exhibits threshold behavior when mode occupancy, noise-floor coupling, and effective rank cross critical boundaries. We derive sharp transition conditions and finite-sample scaling laws, with implications for architecture and training-budget design.