The Single-Owner Discount: Provenance Concentration and Epistemic Class Reproduction in Generative Search

Generative search systems operate through a stratified pipeline in which document retrieval and answer composition are governed by separable mechanisms. A document may be indexed, retrievable, and snippet-eligible while remaining systematically excluded from generative composition. This paper develops a working architectural hypothesis for this gap and names a structural consequence not yet described in the literature: a single-owner discount under which an internally dense body of work attributed to one provenance owner is treated as weakly corroborated, regardless of internal coherence or factual quality, while equivalent content distributed across multiple institutional owners is treated as authoritative. Drawing on Google published patents (US 10,331,706 and US 11,769,017) as evidence of architectural family, and on adjacent-industry patents (Baidu US 10,423,652; Smart Information Flow Technologies US 11,372,854) as analogical models, the paper proposes a model of how reconciliation engines cluster source documents into provenance owners and how composition layers evaluate the resulting clusters. The paper names two consequences: a political-economic effect (institutional pluralization as free cross-owner corroboration) and an epistemological one (the substitution of sociological ratification for epistemological warrant). The claim is architectural and testable, not a disclosure of any specific production system. This deposit is the first paper in a three-paper research program: continued by The Evaluator Exists (DOI: 10.5281/zenodo.20293561) and supplemented by The Excluded Entity (DOI: 10.5281/zenodo.20293582).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-19
DOI
https://doi.org/10.5281/zenodo.20290865
Citations
2
Primary Topic
Intellectual Property and Patents
Type
article
Field-Weighted Citation Impact
69.46
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article

The Single-Owner Discount: Provenance Concentration and Epistemic Class Reproduction in Generative Search

Lee Sharks
2 citations
Zenodo (CERN European Organization for Nuclear Research)
Intellectual Property and Patents
69.46
article

The Single-Owner Discount: Provenance Concentration and Epistemic Class Reproduction in Generative Search

Lee Sharks
article en
2 citations

Abstract

Generative search systems operate through a stratified pipeline in which document retrieval and answer composition are governed by separable mechanisms. A document may be indexed, retrievable, and snippet-eligible while remaining systematically excluded from generative composition. This paper develops a working architectural hypothesis for this gap and names a structural consequence not yet described in the literature: a single-owner discount under which an internally dense body of work attributed to one provenance owner is treated as weakly corroborated, regardless of internal coherence or factual quality, while equivalent content distributed across multiple institutional owners is treated as authoritative. Drawing on Google published patents (US 10,331,706 and US 11,769,017) as evidence of architectural family, and on adjacent-industry patents (Baidu US 10,423,652; Smart Information Flow Technologies US 11,372,854) as analogical models, the paper proposes a model of how reconciliation engines cluster source documents into provenance owners and how composition layers evaluate the resulting clusters. The paper names two consequences: a political-economic effect (institutional pluralization as free cross-owner corroboration) and an epistemological one (the substitution of sociological ratification for epistemological warrant). The claim is architectural and testable, not a disclosure of any specific production system. This deposit is the first paper in a three-paper research program: continued by The Evaluator Exists (DOI: 10.5281/zenodo.20293561) and supplemented by The Excluded Entity (DOI: 10.5281/zenodo.20293582).

Zenodo (CERN European Organization for Nuclear Research)
Semantic Designs (United States) (US)
Openalex Percentile: Top 0%
Intellectual Property and Patents
69.46
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The Single-Owner Discount: Provenance Concentration and Epistemic Class Reproduction in Generative Search — Lee Sharks · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS