Emergent Resilience and Regime Multiplicity in an Ultra-High-Dimensional Adaptive Causal Field Under Global Instability

Large adaptive systems are often assumed to converge toward a single stable configuration under fixed external conditions. In this work, we challenge that assumption by studying an ultra-high-dimensional adaptive causal field subjected to a strong, globally applied instability shock. Two independent executions were performed under identical macroscopic conditions, differing only in microscopic reorganization paths. Despite equivalent dimensionality, perturbation strength, and noise suppression, the system consistently recovered and converged — but into distinct stable post-shock regimes. One regime favored sparse, survival-optimized organization with minimal causal coupling, while the other reorganized into a denser, more integrated configuration with enhanced coordination and reduced complexity. Across both cases, the system exhibited dramatic dimensional collapse, preservation of global coherence, and robust recovery without fragmentation or oscillatory failure. These results demonstrate that resilience is not a unique outcome but a family of viable attractors, selected intrinsically by interaction dynamics rather than imposed architecture or external control. The findings provide direct evidence that global stability in large adaptive systems can emerge without predefined structure, supporting a view of resilience as an emergent property of causal organization rather than a designed feature.