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 "title": "The Single-Owner Discount: Provenance Concentration and Epistemic Class Reproduction in Generative Search",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-05-19",
 "description": "*The Single-Owner Discount* v0.3 proposes a testable explanation for the state in which documents are indexed and highly retrievable but rarely admitted into generative composition. The hypothesis is that reconciliation systems cluster documents by inferred provenance owner and that composition confidence rewards support distributed across independent clusters. A large, internally coherent archive attributed to one owner may therefore count as one source, while institutionally distributed material receives cross-owner corroboration as a byproduct of organizational form.\n\nThe paper uses Google patents as evidence of an architectural family—entity reconciliation and confidence-governed generative summaries—and patents from other firms as analogical examples. It repeatedly states that these sources do not disclose Google’s production implementation. The proposed single-owner discount is platform-variable, orthogonal to content quality, invisible to users, and structurally favorable to universities, publishers, and other already pluralized organizations.\n\nThe paper suggests measuring provenance concentration with a Herfindahl–Hirschman-style index and comparing organic inclusion, generated-source admission, and cross-system behavior over time. The mechanism remains a working hypothesis until systematic controls distinguish it from domain authority, engagement, anti-spam, relevance, freshness, and personalization.",
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 "reading": "Play → Alarm → Closure → Foundation → Force → Force",
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  "blog": "https://mindcontrolpoems.blogspot.com/2026/05/the-single-owner-discount-provenance.html"
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 "wiki_article": "**The Single-Owner Discount** is an architectural hypothesis by Lee Sharks about generative search.\n\nThe hypothesis begins from a difference between retrieval and composition. A page may rank well in ordinary search while being absent from the documents used in a generated answer. The paper proposes that one reason may be provenance concentration: many documents from one inferred owner can count as a single support cluster, while the same claim distributed across institutions and authors appears independently corroborated.\n\nThis structure would advantage organizations whose output is automatically pluralized across departments, journals, news coverage, and affiliated authors. Independent archives could remain compositionally weak despite depth and internal coherence.\n\nThe paper does not claim access to Google’s production system. Patents establish relevant architectural possibilities, not the deployed mechanism. The hypothesis is intended for testing through query panels, provenance-concentration measures, generated-source inclusion, and comparisons among platforms.",
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 "journal": "Provenance: Journal of Forensic Semiotics",
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  "Google AI Overview",
  "Lee Sharks",
  "ORCID: 0009-0000-1599-0703",
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   "was": "Generative search systems — Google's AI Overviews, AI Mode, and equivalent 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.",
   "now": "*The Single-Owner Discount* v0.3 proposes a testable explanation for the state in which documents are indexed and highly retrievable but rarely admitted into generative composition. The hypothesis is that reconciliation systems cluster documents by inferred provenance owner and that composition confidence rewards support distributed across independent clusters. A large, internally coherent archive attributed to one owner may therefore count as one source, while institutionally distributed material receives cross-owner corroboration as a byproduct of organizational form.\n\nThe paper uses Google patents as evidence of an architectural family—entity reconciliation and confidence-governed generative summaries—and patents from other firms as analogical examples. It repeatedly states that these sources do not disclose Google’s production implementation. The proposed single-owner discount is platform-variable, orthogonal to content quality, invisible to users, and structurally favorable to universities, publishers, and other already pluralized organizations.\n\nThe paper suggests measuring provenance concentration with a Herfindahl–Hirschman-style index and comparing organic inclusion, generated-source admission, and cross-system behavior over time. The mechanism remains a working hypothesis until systematic controls distinguish it from domain authority, engagement, anti-spam, relevance, freshness, and personalization."
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