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Paper 24 — External Result Non-Substitution and Parallel Reference: Non-Executable Treatment of AI+AGI Outputs, External Tool Results, and Local Source Structures

The First Waters

2026Zenodo (CERN European Organization for Nuclear Research)12 citationsDOIOpen Access PDF

Abstract

This working paper develops External Result Non-Substitution and Parallel Reference as a non-executable structural framework for AI+AGI outputs, external tool results, external analysis results, external code or document outputs, and local source structures. The paper addresses the risk that externally generated or externally assisted results may be mistaken for replacements of original documents, local source data, local structured records, human review records, state objects, seal objects, address objects, propagation objects, or institutional decisions. It defines external results as reference objects that may correspond to local source structures without modifying, deleting, replacing, overwriting, absorbing, or finalizing those source structures. The framework further positions multiple external results as parallel reference objects. Conflicting, divergent, partial, alternative, or provider-specific external outputs may be maintained side by side without being collapsed into a single authoritative result, selected as final, silently merged into the source, or converted into legal, evidentiary, institutional, or operational effect. The framework does not present an execution system, source-modification system, automated judgment system, state-generation system, evidence-confirmation system, approval system, deletion system, priority-selection system, or legal-effect mechanism. It provides a non-executable boundary for preserving the difference between external result reference and local source replacement. This working paper is Paper 24 of the AGI Structural Alignment Series.

Topics & Concepts

Computer scienceSource codeBoundary (topology)State (computer science)Code (set theory)AlgorithmEngineering drawingReference modelComputationProcess (computing)SimulationSolid-stateArtificial intelligenceArtificial Intelligence ApplicationsResearch Data Management PracticesExplainable Artificial Intelligence (XAI)