Meta-Stable Architectures — Volume V: Adaptive RC as an Instructor Model in Heterogeneous Networks

This preprint presents Volume V of the Meta-Stable Architectures series, extending the Reflective Coordinator (RC) into an adaptive instructor-like coordination layer for heterogeneous networks. The proposed architecture introduces state-aware coordination based on phase dispersion, lag, local error proxies, anchor structures, and bounded group memory. Instead of rigid synchronization, the system applies soft, state-dependent guidance. A structured experimental framework is used, including typed lesson protocols (noise-, lag-, and contagion-dominated disturbances), repeated instructor–group interaction, multimode instructor signaling, and long curriculum-style development. The central result is layered: – Mutual attunement significantly reduces peak field error – Multimode instruction improves performance under heterogeneous breakdown types – Buffered recovery (demper) shortens recovery time and tail without degrading field quality A key insight of this work is that coordination quality improves before timing metrics. Recovery speed gains emerge only after introducing an explicit post-crisis release mechanism. The architecture remains effective at larger scales up to N=1000 and demonstrates robustness under shifted lesson regimes. This work does not claim a complete theory of group learning but proposes a coherent, layered coordination framework that provides a stable foundation for further research.