Admissibility-Gated Information Acquisition: Observation Formalised into Application

This paper presents a viability-first framework for real-world information acquisition within the Paton System. It formalises an observable behaviour across scientific, technological, and social systems: incoming information is implicitly filtered prior to integration based on structural compatibility. The framework introduces admissibility as a continuation condition and tolerance as a governing constraint determining allowable variation. Rather than evaluating information solely on truth or accuracy, the system determines whether information can be permitted to continue without destabilising structural coherence. The paper distinguishes between observation and application. It identifies an existing structural filtering process and formalises it into an operational method for managing unconstrained information environments. This approach provides a domain-neutral mechanism for reducing misinformation propagation, preventing premature integration of unstable data, and supporting coherent system evolution under uncertainty. The Paton System operates as a non-interfering, pre-theoretical filter. It does not replace domain-specific models or introduce new physical laws, but determines when information remains admissible within existing constraints.