Engineering Induced Coherence Weights for Coherence Information Theory

Given a stream of symbols/states generated by a system that contains both coherence-bearing structure and high-entropy variation, we want to communicate and/or compress the stream under a rate constraint while preserving the parts of the stream that support persistence / recursive recoverability, not merely the parts that are frequent. This document provides a complete engineering interface: a way to compute coherence proxies C ̂, a way to induce relevance ρ(x) by ablation, a way to derive weights w(x), a way to apply weights to coding under a rate constraint, a benchmark suite that forces tradeoffs, and a robustness harness that converts estimator dependence into an empirical research program. It is intended so engineers can improve the system in the ways engineers naturally do, with better coherence proxies, better ablation operators, better weight mappings, stronger coders, and stronger robustness proofs, without needing to agree on any metaphysical story about “meaning.”