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Working paper introduces a structural framework for managing AI-generated documents, ensuring traceability and integrity.
This working paper introduces Terms of Structure and Traceable Document-State Layers as a non-executive structural framework for AI+AGI-generated documents, document-state records, revision histories, structural conditions, and reference continuity. Building on the AGI Structural Alignment Series, this paper addresses how documents and document-derived outputs may remain traceable across AI+AGI generation, human review, revision, state preservation, publication readiness, institutional circulation, and long-term reference contexts. The framework does not treat document-state layers as contract terms, legal-effect mechanisms, execution systems, approval systems, evidence-confirmation systems, settlement systems, or automated decision systems. Terms of Structure are defined as structural conditions attached to document-state units, candidate outputs, revision units, role references, authority-condition references, time-history references, propagation boundaries, and preservation contexts. They may indicate reference status, review status, candidate status, preservation status, boundary status, or publication-readiness status without creating legal obligations or external effects. The paper positions traceable document-state layers as reference structures for maintaining continuity among generated text, human revisions, comments, tables, figures, code excerpts, media references, consent candidates, economic references, design references, and time-history records. The purpose is to preserve interpretive structure and non-substitution boundaries while keeping human and institutional discretion outside the document-state layer. This working paper is Paper 17 of the AGI Structural Alignment Series.
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The First Waters (2026) studied this question.
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