SNN-Genesis v20: Stochastic Resonance in LLM Reasoning — Prior Override Boundaries, Trajectory Distillation, and Self-Evolving SNN Control

SNN-Genesis v20 establishes the boundaries of Neural Prior Override, introduces trajectory distillation, and demonstrates self-evolving SNN control. The prior override mechanism works when the model has correct knowledge but is biased toward the wrong strategy (Modified Hanoi: +30pp gain, p=0.007) but fails when knowledge simply doesn't exist (Octal arithmetic: -2.8pp, noise worsens performance). v20 validates this at N=100 (differential widens from +23.3pp to +29.0pp), proves layer-specificity (L16 optimal at 76.7% vs baseline 3.3%), and shows trajectory distillation achieves 48% solve rate (4.8× improvement, p=4.7×10⁻⁵). The self-evolving SNN controller achieves comparable performance to fixed injection…