Entity Collision Problem (ECP): Canonical Definition

The Entity Collision Problem (ECP) describes a representational failure mode in which multiple distinct entities are incorrectly merged into a single representational space, or a single entity is fragmented across several incompatible representations. The concept operates at the level of observable representation rather than system internals. It provides a descriptive construct for analysing failures of entity boundary integrity in AI-mediated interpretive systems. This record provides the canonical definition of the Entity Collision Problem (ECP) as part of the EntityWorks Standard. Output Origin Uncertainty (OOU) is a related concept within the EntityWorks Standard describing situations in which an observer cannot determine whether an output was produced by human independent thinking, by a generative AI system, or by an unobservable combination of the two. https://doi.org/10.5281/zenodo.19001500

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-20
DOI
https://doi.org/10.5281/zenodo.19667973
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
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article

Entity Collision Problem (ECP): Canonical Definition

Neale Welch
Zenodo (CERN European Organization for Nuclear Research)
Logic, Reasoning, and Knowledge
article

Entity Collision Problem (ECP): Canonical Definition

Neale Welch
article en

Abstract

The Entity Collision Problem (ECP) describes a representational failure mode in which multiple distinct entities are incorrectly merged into a single representational space, or a single entity is fragmented across several incompatible representations. The concept operates at the level of observable representation rather than system internals. It provides a descriptive construct for analysing failures of entity boundary integrity in AI-mediated interpretive systems. This record provides the canonical definition of the Entity Collision Problem (ECP) as part of the EntityWorks Standard. Output Origin Uncertainty (OOU) is a related concept within the EntityWorks Standard describing situations in which an observer cannot determine whether an output was produced by human independent thinking, by a generative AI system, or by an unobservable combination of the two. https://doi.org/10.5281/zenodo.19001500

Zenodo (CERN European Organization for Nuclear Research)
ResearchWorks (United States) (US)
Reduced inequalities
Openalex Percentile: Top 6%
Logic, Reasoning, and Knowledge
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