Systems and methods for state-coherent recursive processing

A computer-implemented system configured to maintain state coherence in an adaptive computational process, comprising:

• a State Differentiator (SD) configured to define and monitor boundaries among internal state variables;
• an Invariance Monitor (IM) configured to detect and quantify persistence of invariant relationships among the internal state variables that characterize an operational identity of the system;
• a Continuation Evaluator (CE) configured to:
• (i) generate a set of candidate state updates;
• and
• (ii) evaluate each candidate state update using a stability potential Φ(s), wherein Φ(s) is a scalar function of system state representing deviation from the invariant relationships,
• wherein the CE selects a state update from the set of candidate state updates by minimizing the stability potential subject to invariance constraints derived from the invariant relationships detected by the Invariance Monitor (IM);
• and
• a Feedback Controller (FC) configured to apply the selected state update to the system and store results for subsequent evaluation,
• wherein the SD, IM, CE, and FC operate cooperatively in a recursive control cycle that:
• continuously evaluates invariant relationships,
• applies bounded state updates, and
• maintains coherence of system state over successive iterations without external reset,
• and wherein the system operates independently of an underlying computational substrate through evaluation on normalized state descriptors.