The proliferation of representations creates a practical difficulty for inquiry: a retained statement, an authentic source, an institutionally accepted classification, and a warranted account of reality can diverge. This paper develops an epistemic infrastructure response grounded in the Generative Relational research programme. The proposed object of standardization is the accountable recording, examination, presentation, contestation, and revision of generative trajectories, including their conditions, alternatives, contributions, and practical consequences. The argument distinguishes theoretical foundations, operational record roles, epistemic representation, evaluation, jurisprudence, governance, and technical implementation. It reconstructs a standards-development architecture and examines three experimental specifications for record graphs, coordinated transactions, and event-defined spacetime projections. A Git binding preserves accepted recording revisions, while explicit event relations define partial orders of represented occurrences. Predecessor-closed event selections determine the applicability of retained accounts and the resulting relational topology. The paper gives finite formal results for these constructions, analyzes failures involving conflicting chronology and uncertain scope, and follows a synthetic community inquiry through record creation, correction, and historical reconstruction. Source inspection, existing validation dossiers, and bounded re-executed software checks support engineering claims; institutional effectiveness and factual warrant require additional evidence. A comparison with established standards-development practices and provenance resources identifies potential interfaces without asserting equivalence or affiliation. The resulting contribution is an inspectable research and implementation architecture, accompanied by versioned documentary appendices, for developing standards that preserve the conditions of future recognition, reinterpretation, and practical continuation.
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Wanhong HUANG (2026) studied this question.
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