Phase-Sensitive Detection of Coherent Systems Biological, Instrumental, and Spacetime Alignment as a Unified Observability Framework

Conventional detection frameworks in physics and engineering rely on energetic gradients, force exchange, noise, or signal amplitude to establish observability. However, systems operating through intrinsic phase alignment—here referred to as coherence-based systems—can remain functionally present while producing minimal or null energetic disturbance. This paper proposes a detection framework based on phase sensitivity rather than energy transfer, unifying biological nervous systems, engineered sensors, and spacetime geometry under a shared observability constraint. We demonstrate that coherent systems evade detection not through stealth, but through boundary matching, and that both biological perception and instrumentation fail for the same structural reason. A new class of non-aggressive, phase-mismatch detection strategies is proposed. coherence, phase alignment, observability, biological sensing, neural timing, spacetime curvature, phase mismatch, non-energetic detection, coherent craft, plasma craft comparison, EM field alignment, intrinsic stability, transition states, ethical sensing, control theory, signal processing, phase noise, boundary conditions, inertial decoupling, curvature congruence, nervous system coherence, informational interaction, passive detection, phase flatness, field geometry, non-Newtonian motion, spacetime interaction, observability limits, coherence basin, sensor failure modes, alignment dynamics, non-aggressive interaction, biological neutrality, timing synchronization, detection theory, phase continuity, coherence stability, informational fields, phase-based sensing, transition observables, spacetime matching, neural coherence, EM quiet signatures, intrinsic order, field congruence, coherence grammar