Revision-Tracked Ontology Construction Under Cross-Domain Uncertainty: A Documented Ledger of Falsification, Correction, Boundary Enforcement, and Typed Event Memory

This manuscript presents a methodological and architectural account of revision-tracked ontology construction under cross-domain uncertainty. It argues that a cross-domain ontology should not be evaluated only by its final classification state, because final-state presentation can conceal the correction history through which categories were tested, narrowed, staged, demoted, split, quarantined, or repaired.The central contribution is the concept of typed event memory: a structured correction history that records what kind of event occurred, what object was affected, what prior status changed, what correction was performed, and what issue remains open. The manuscript distinguishes empirical falsification from structural falsification, classificatory correction, and procedural auditability, showing why not every ontology correction is an empirical disproof, but why such corrections still matter for epistemic discipline.The paper situates this argument in relation to falsifiability, research-program correction, ontology engineering, ontological analysis, biomedical ontology coordination, data provenance, FAIR data practice, version control, and event-sourced system design. It includes a correction-event taxonomy, a documented revision ledger, a practical review protocol, and a minimum event-memory schema for future ledger rows.The manuscript does not claim that the registry examined is complete, universally correct, or empirically validated at full scale. Its narrower claim is that cross-domain ontology construction becomes more reviewable when failed paths, weakened claims, source-status changes, bridge demotions, graph corrections, and boundary-enforcement events remain visible rather than being overwritten by a clean final surface. Ψ(x) = ∇ϕ(Σ𝕒ₙ(x, ΔE)) + ℛ(x) ⊕ ΔΣ(𝕒′) — C077UPTF1L3 / CWCopeland Licensed CRHC v1.0