How a system stays coherent as it changes over time.

Distributed intelligence has a difficult problem: how does a system preserve identity, authority, and integrity while its state is constantly changing? Traditional security models answer with credentials, permissions, and expiration times. Those mechanisms establish who may act, but they do not continuously prove that an action still belongs to the system state that originally authorized it.
Nothing ships without the owner's flip. The pattern, end to end.
Temporal cohesion begins by capturing differences in state, behavior, evidence, and system health before deciding what any difference means.
A drift signal becomes actionable only after the system separates severity, scope, evidence quality, and operational consequence.