M2: Phase Guided Regeneration

M2: Phase-Guided Regeneration under Dynamic Damage and Resource Constraints is a structured technical whitepaper and numerical evidence ledger within the Phase-Locked Quantum-Plasma Processor research program. The work extends the baseline phase-guided localization result into a broader computational study of template-aware field regeneration. A phenomenological, dimensionless phase-field model is tested across a sequence of falsifiable numerical stress conditions, including irregular and non-convex geometry, simultaneous lesion assignment, phase-keyed target selectivity, graded wrong-key controls, heterogeneous transport and loss, repeated damage–repair cycling, protected-region safety constraints, delayed observation and phase compensation, finite resource supply, and reproducibility across multiple numerical resolutions and realizations. The central result is not a single best-case morphology score, but the separation of distinct operational failure modes. The experiments distinguish loss of field amplitude, loss of geometric fidelity, loss of phase selectivity, off-target accumulation, protected-region exposure, stale target geometry, resource depletion, and numerical variability. Correctly keyed regimes retain the requested morphology and target identity, while wrong-key, detuned, collision, safety-conflict, latency, scarcity, and mixed-medium controls expose explicit performance boundaries. The public release contains symbolic parameter-free equations, experiment definitions, protocol matrices, curated metric plots, diagnostic field maps, and temporal keyframe mosaics. Raw numerical arrays, solver logs, calibrated parameter sets, execution schedules, source code, seeds, and reconstruction-enabling records are excluded from the public package and retained under private NDA/proprietary restrictions. The supported conclusion is deliberately bounded: within the declared phenomenological model, a gated phase-sensitive source can reconstruct supplied morphologies, address selected targets, recover after repeated perturbation, and expose measurable tradeoffs under safety, latency, transport, resource, and scaling constraints. The work does not establish biological tissue regeneration, clinical efficacy, materials feasibility, physical quantum-plasma behavior, manufacturability, energy efficiency, or autonomous hardware operation.