Computational Validation of Bounded Coherence: From Biological Oscillators to AI Content Generation

Computational validation of the Bounded Phase Coherence principle across six AI content generation modalities (text, image, audio, code, video, music). This study analyzes 11,394 generation–verification cycles to test whether bounded coherence, previously derived analytically in biological oscillator systems (Phillips 2026a; 2026b), generalizes to computational substrates. Key findings: All modalities exhibit Beta-distributed balance metrics. Alpha (α) parameters are modality-specific (range: 0.45–9.29). A chaos boundary is observed in code generation (cv = 0.92, α < 1). Universality lies in structural form rather than parameter magnitude. Dataset DOI (11,394 records): 10.5281/zenodo.18761324 This preprint extends the analytical framework established in: 10.5281/zenodo.18235945 10.5281/zenodo.18616949