Scale-Regulated Aggregation across Domains

This work demonstrates top-down scale-regulated aggregation across physical, cosmological, and arithmetic domains. Using extreme-number simulations, laminar flow, pulsar/magnetar observations, black-hole metrics, and financial systems, variance suppression is quantified via AM–SD, AD–SM, and AS–DM regulators. Controlled geometric misalignment naturally reduces classical N^ 1/ 2 scaling in Hilbert-space representations. Real-time MeerKAT observations, turbulence experiments, and financial market fluctuations validate structural predictions. The framework naturally extends to Goldbach phenomenology, linking arithmetic and physical universes.