Emergent Global Regulation in an Ultra-High-Dimensional Adaptive System Under Extreme Perturbation

How can large, densely coupled systems remain stable when pushed far from equilibrium? In this work, we present a large-scale adaptive causal field study operating at extreme dimensionality and subjected to a deliberately imposed global instability shock. The system was constructed without predefined units, modular structure, external control, or task-specific optimization. All organization emerged solely from interaction dynamics, feedback balance, and global consistency constraints. Despite these conditions, the system did not fragment or collapse. Instead, it autonomously reorganized, compressing its effective dimensionality by several orders of magnitude while preserving causal integration. Remarkably, global stability increased following the perturbation, demonstrating resilience rather than degradation under stress. These results provide direct evidence that global regulation and stability can emerge intrinsically in large adaptive systems, even under extreme noise, asymmetry, and global disruption. The findings challenge the assumption that resilience must be engineered through architecture or control, and suggest that stability may arise as a natural consequence of interaction dynamics themselves.