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

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-28
DOI
https://doi.org/10.5281/zenodo.20421398
Citations
4
Primary Topic
Artificial Intelligence Applications
Type
article
Field-Weighted Citation Impact
89.97
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article

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
4 citations
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence Applications
89.97
article

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
article en
4 citations

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.

Zenodo (CERN European Organization for Nuclear Research)
Agruicultural Research Institute (CY)
Peace, Justice and strong institutions
Openalex Percentile: Top 0%
Artificial Intelligence Applications
89.97
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