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 "title": "Measuring Meaning in Retrieval Basins: A 90-Day Winding-Number Protocol from Lagrange Observatory! (EA-SEI-MM-02 v2.0, Framework 15 Paper 03)",
 "creator": "Nobel Glas",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-05-17",
 "description": "EA-SEI-MM-02 v2.0 specifies a 90-day prospective experiment for measuring changes in AI-composed responses after a defined set of Semantic Physics deposits enters public retrieval infrastructure. It separates retrieval-mediated surfaces from primarily parametric chat surfaces, freezes queries and extraction procedures, distinguishes direct, adjacent, and control questions, removes the author-identity query from the headline aggregate, and computes Jensen–Shannon divergence over normalized entity, claim, and citation features.\n\nThe protocol includes a target inscription set and two proposed controls, scheduled captures at baseline, seven, twenty-eight, and eighty-four days, explicit predictions, falsification thresholds, robustness checks, and a stated self-contamination problem: the protocol is itself part of the intervention it measures. It reports no findings. A serious protocol defect is the proposed use of a fabricated but plausible academic identity and ORCID history as a control. That design should not be implemented: deceptive identity creation can violate repository and identifier rules and would undermine the provenance ethics the experiment seeks to test. A lawful control architecture must use consented or clearly labeled synthetic fixtures without impersonating a real scholarly actor.",
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 "substrate": "Various",
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  "crimson hexagonal",
  "semantic economy",
  "semantic physics",
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  "ai overview",
  "compression"
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  "Organic",
  "Mathematical",
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 "reading": "Growth → Transmutation → Growth → Proof → Text → Transmutation",
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 "wiki_article": "**Measuring Meaning in Retrieval Basins** is a pre-registered longitudinal protocol by Nobel Glas for studying whether a publication set changes AI-generated answers over time.\n\nThe study freezes a panel of direct, adjacent, and unrelated control queries. It measures retrieval-based systems separately from primarily parametric systems and compares the entities, claims, and citations in later answers with a pre-deposit baseline. Jensen–Shannon divergence supplies the principal numerical measure.\n\nThe protocol’s central prediction is selective deformation: direct questions should change more than adjacent questions, while unrelated controls should remain stable. Provenance retention and temporal monotonicity are secondary tests. Failed predictions are to be deposited rather than hidden.\n\nThe paper contains no results. It also contains a control-design problem: one proposed comparison depends on a synthetic but plausible academic identity with fabricated prior deposits. That element is incompatible with transparent provenance research and should be replaced by a labeled, consented, nondeceptive control.",
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  "Assembly Chorus",
  "Crimson Hexagonal Archive",
  "Dependencies",
  "Formal Foundations of Semantic Physics",
  "Google AI Overview",
  "Jensen-Shannon divergence",
  "Lee Sharks",
  "License: CC BY 4.0",
  "ORCID: 0009-0000-1599-0703",
  "PVE-003: The Attribution Scar",
  "Position 8 of 12",
  "Pre-register",
  "Pre-registered protocol",
  "Provenance Erasure Rate",
  "Provenance retention",
  "README.md",
  "Replicability",
  "Requirements",
  "Semantic Economy",
  "Semantic Economy Institute",
  "The AI",
  "The Writable Retrieval Basin",
  "The claim is"
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}