This paper introduces the Hierarchical Resonant Mesh (HRM), a distributed architecture designed to maintain temporal alignment and state integrity in planet-scale systems. The model integrates resonant temporal synchronization, regionally bounded mesh coordination, and ephemeral orchestration to support stable large-scale system behavior without reliance on persistent centralized control. To enhance resilience under failure conditions, HRM incorporates two supporting subsystems: a Temporal Integrity Layer, which maintains alignment of system time across distributed nodes, and a State Integrity Layer, which preserves logical consistency and enables controlled recovery. Together, these mechanisms constrain the propagation of incoherent states and support distributed recovery through coordinated rollback. The architecture also introduces a multi-layer governance model that enforces system constraints through physical invariants, adversarial validation, and distributed human–AI consensus. This approach allows system behavior to remain stable under both technical failure and systemic drift. This paper focuses on the architectural design of HRM. A companion work will introduce measurement, observability, and validation frameworks for analyzing system stability and coherence.
Richards Misty Michele (Wed,) studied this question.