SERC: A Relational Equilibrium Framework for Large-Scale AI Systems

SERC (Structure–Energy–Resonance–Coherence) is a relational metric and geometric framework for modeling internal equilibrium, coherence, and dynamical stability in complex systems, including large-scale AI models. This repository provides the mathematical formulation, simulation code, and tools for analyzing relational tension, internal time, and equilibrium trajectories within the SERC simplex.