How does information about a system become effective action? This working paper examines that question through a conditional mathematical construction informed by the Unified Coherence Model (UCM). An elementary criterion identifies when a description contains enough information to determine a specified outcome. An ideal spin-echo comparison shows that identical instantaneous aggregates can conceal phase–frequency relationships that produce different later signals. Preparation information repairs prediction. A separate construction routes candidate forecasts through a finite-time request and pulse-selection policy. Nominal processing changes the selected pulse and doubles the ideal signal at four times the declared cost proxy; slower or disabled processing does not. An ordinary equivalent filter reproduces the process, and direct selection bypasses it. Unavailable responses and residual losses remain. A separate reference-family argument distinguishes recognising existing structure from changing receiver capacity. The contribution is an inspectable UCM-informed connection between information, selection and response. Physical implementation, maintained capacity and validation of UCM as a whole remain open.
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Leon Ford (2026) studied this question.
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