{ "slug": "semantic-deviation-measure-indexed-but-uncited-20260725", "date": "2026-07-25", "surface": "Google AI Overview", "auth": "signed in", "ev": "ocr", "cites": 5, "per": 1.0, "per_v": { "author": false, "inst": false, "id": false, "src": false }, "mt": "CAPTURE", "d": "SEMANTIC DEVIATION IS AN ESTABLISHED TERM IN STYLISTICS — \"meaning relations that are logically inconsistent or paradoxical\" — and also a live method in financial disclosure analysis. The archive’s card ranks fifth of five.", "reading": "THREE FIELDS ALREADY HOLD THE PHRASE. In STYLISTICS it is a standard category: \"semantic deviation refers to meaning relations that are LOGICALLY INCONSISTENT OR PARADOXICAL\", the mechanism of poetic language, taught from Leech onward. In FINANCE, MDPI proposes \"a STRUCTURAL SEMANTIC DEVIATION framework\" for detecting anomalies in 10-K risk factors using embedding dispersion. In AI EVALUATION, SSRN notes that existing services \"measure what agentic systems DO, not what tho[se systems mean]\" — the archive’s own complaint, from a different discipline.\n\nCard 5 does carry the attribution in the strongest available form: \"the measurement program for the SEMANTIC DEVIATION PRINCIPLE (SHARKS 2026)\" — an author-date citation inside a snippet, which is the format most likely to survive downstream. The archive is present, attributed, and last.\n\nNobel Glas is Director of Lagrange Observatory and the EA-GLAS series is his; the card carries the deposit under the Sharks attribution, so the framework’s heteronymic assignment is not visible at this surface.", "analysis": "The purest observable form of provenance loss in the registry to date: not decay, not blending, not inversion — passed over, with the source demonstrably available to the same system on the same page. The coinage is the author's (The Semantic Deviation Principle, alexanarch #109, AXN:028B.GOVERNANCE.♣️🌃🌕🏰🗝️🔓, 2026-05-17; measurement program #110, 'Measuring Semantic Deviation: Operationalizations, Experiments, and Falsification Conditions'). The organic result for that program is present, its snippet naming both the document ID and the principle with its attribution — 'the Semantic Deviation Principle (Sharks 2026)' — and the composition layer builds the entire answer from finance, governance and stylistics sources without citing it once.\n\nDISPLACEMENT BY HOMONYM. The 'AI and Agentic Governance' context names 'the Semantic Deviation Index' — a runtime-drift construct from agentic-governance literature (SSRN, 2026-04-16), a different object with a near-identical name. The better-institutionalized homonym occupies the technical slot; the coinage supplies the query and receives nothing.\n\nDOMAIN-PROXIMITY INVERSION. The bullet nearest the author's own field — Stylistics and Literature, deviation as foregrounding through metaphor, paradox, irony — is grounded to SCRIBD, a document-sharing site, twice over. A deposited empirical white paper carrying stated falsification conditions is ranked on the same page and passed over in favour of uploaded course notes, in the one domain where that paper is most directly on point.\n\nTOMBSTONE STATUS OF THE PRESENT SOURCE (verified 2026-07-25). The zenodo record ranked last in organic is severed: bound version 10.5281/zenodo.20271783 is status 410_GONE (tombstone evidence observed 2026-07-12T02:39:22Z), and its concept root ...782 carries envelope identifier_validity=verified_tombstone while DataCite still reports datacite_state=findable. The identifier resolves in DataCite and 410s at the resource — which is why the dead record remains indexed and rankable, and why its snippet still carries the byline 'the Semantic Deviation Principle (Sharks 2026)'. The live successor copy, alexanarch.org/s/records/110/, does not appear in the result set at all.\n\nCITED-VS-SKIPPED CONTROL. Deadness alone does not explain the non-citation. Registry entry #216 (erasure-skew-canonization-20260723) documents this same composition layer citing THREE 410_GONE Zenodo DOIs as authoritative, two days earlier, building an entire definition on tombstones. The discriminator between the two cases is competition, not liveness: 'erasure skew' is a quoted exact term with no institutional rival, and the tombstone gets cited because nothing else can answer; 'semantic deviation measure' has a live, dereferenceable, better-institutionalized homonym (the Semantic Deviation Index, SSRN agentic governance, 2026-04-16) available to occupy the slot. FINDING: severance does not disqualify a source from composition — it lowers the source's weight, and lowered weight becomes visible as absence only when a live competitor exists. The effect is conditional and invisible to single-capture study; it took a two-capture pair to observe.\n\nMETADATA CORRUPTION AT THE LIVE COPY (root cause, archive-side). Deposit #110's YAML frontmatter was never parsed at ingest. The consequence propagates to every machine-facing field on the live record page: renders as 'title: \"Measuring Semantic Deviation...\" author: \"Nobel Glas\" author_note:'; meta description renders as '\"title\" is an empirical study by Nobel Glas'; citation_title and the JSON-LD ScholarlyArticle name carry the same corruption; JSON-LD keywords collapse to 'heteronym, empirical study' while the frontmatter holds twenty-eight subject keywords (semantic deviation, DPO, RLHF, Goodhart's law, provenance erasure, model collapse, retrieval basin). The dead Zenodo record, by contrast, presents clean metadata. So at the point of comparison the composition layer had a corpse with a good byline and a live page whose title is the string 'title'. This is a sufficient explanation for the ranking outcome and is fixable archive-side. Scope verified: exactly 3 of 1,410 deposits exhibit the leak (#110, #321, #322).\n\nIDENTIFIER FINDING, CORRECTED. An earlier version of this entry stated that 'EA-GLAS-02' returns zero matches in the successor archive. That was a search of registry.json metadata, not of the archive. The identifier IS present — in the body of deposit #110 as `series: \"EA-GLAS-02\"` — and IS reachable through the live inverted index at /api/body-index.json. It is absent only from registry.json and /api/search-index.json, both of which tokenize metadata. Same root cause as above: the frontmatter that carries the series designation is the frontmatter that was never parsed. The work is present, title-findable, and identifier-invisible to metadata search. Series designations map as EA-GLAS-01 = 'Audited Claims for the Semantic Deviation Research Program' (#107), EA-GLAS-02 = this white paper (#110), with a parallel EA-SEI-MM-## series carrying The Semantic Deviation Principle (#109, #1373).", "transcript": "A semantic deviation measure quantifies how much a text, word usage, or system output diverges from an expected norm, baseline, or logical meaning. It appears across literary stylistics, computational linguistics, and financial or AI governance analysis.Key Contexts and ApplicationsStylistics and Literature: Evaluates how creative writing breaks conventional semantic rules (such as through metaphor, paradox, or irony) to create foregrounding.Corporate Disclosures: Measures the spatial or vector distance (narrative-fundamental mismatch) between a company's reported text (like MD&A statements) and expected benchmarks derived from financial data.AI and Agentic Governance: Quantifies runtime drift or divergence between an AI system's operational logic at the orchestration layer and its authorized guidelines (e.g., the Semantic Deviation Index).Corpus Linguistics: Assesses semantic divergence or dispersion in vector embedding spaces over historical timelines or comparative domains.If you can specify whether you are looking for a measure used in literary stylistics, natural language processing (NLP) embeddings, or financial/corporate text analysis, I can provide the exact mathematical formula and implementation steps.A FinBERT2-Based Measure of MD&A Narrative-Fundamental MismatchMay 7, 2026 — Abstract. Traditional dictionary-based abnormal tone (AbTone) captures residual lexical sentiment but may miss broader narrative-fundamental mismatch in corpora...SSRN eLibraryA Runtime Measurement Standard for the Governance of Agentic AI ...Apr 16, 2026 — Maureen Doyle-Spare * Existing control frameworks in financial services share a common structural limitation: they measure what agentic systems do, not what tho...SSRN eLibraryModeling Structural Deviation in 10-K Risk Factors: A Semantic Anomaly Detection ...Apr 13, 2026 — We propose a structural semantic deviation framework that represents each company–year disclosure using thematic shares and embedding-based dispersion statistic...MDPIUnderstanding Semantic Deviation in Stylistics | PDF | Linguistics - ScribdThe document discusses linguistic deviation, a technique used by writers to create original language that deviates from literary norms, resulting in a psycholog...ScribdUnderstanding Semantic Deviation | PDF - ScribdThe document discusses semantic deviation in literature. Semantic deviation refers to meaning relations that are logically inconsistent or paradoxical. Poetic l...ScribdMeasuring Semantic Deviation: Operationalizations, Experiments, and ...May 18, 2026 — EA-GLAS-02 v1.0. A self-contained empirical white paper presenting the measurement program for the Semantic Deviation Principle (Sharks 2026). Defines meaning a...zenodo.org", "transcript_class": "CAPTURE-TIME VERBATIM RECORD — raw paste", "transcript_complete": "as pasted; no footer, so the tail cannot be proven whole. Source strip intact.", "transcript_read": "READ IN FULL 2026-08-12", "cite_list": [ { "n": 1, "site": "SSRN eLibrary", "rel": "third_party", "title": "(agentic evaluation)", "snip": "…services share a common structural limitation: they measure WHAT AGENTIC SYSTEMS DO, not what tho[se systems mean]…", "url": null, "note": null }, { "n": 2, "site": "MDPI", "rel": "third_party", "title": "Modeling Structural Deviation in 10-K Risk Factors: A Semantic Anomaly Detection", "snip": "We propose a STRUCTURAL SEMANTIC DEVIATION framework that represents each company–year disclosure using thematic shares and embedding-based dispersion statistic[s]…", "url": null, "note": null }, { "n": 3, "site": "Scribd", "rel": "third_party", "title": "Understanding Semantic Deviation in Stylistics", "snip": "linguistic deviation, a technique used by writers to create original language that DEVIATES FROM LITERARY NORMS…", "url": null, "note": null }, { "n": 4, "site": "Scribd", "rel": "third_party", "title": "Understanding Semantic Deviation", "snip": "SEMANTIC DEVIATION refers to meaning relations that are LOGICALLY INCONSISTENT OR PARADOXICAL. Poetic l[anguage]…", "url": null, "note": null }, { "n": 5, "site": "zenodo.org", "rel": "authored_surface", "title": "Measuring Semantic Deviation: Operationalizations, Experiments", "snip": "EA-GLAS-02 v1.0. A self-contained empirical white paper presenting the measurement program for the SEMANTIC DEVIATION PRINCIPLE (SHARKS 2026).", "url": null, "note": null } ], "collisions": [ { "with": "semantic deviation in stylistics", "via": "a standard term for logically inconsistent or paradoxical meaning relations in poetics", "ev": "two Scribd study documents on linguistic and semantic deviation" }, { "with": "structural semantic deviation in financial disclosure analysis", "via": "an independently proposed framework of the same name", "ev": "MDPI on semantic anomaly detection in 10-K risk factors" } ], "oq": null, "imgs": [ "data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png", "data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png" ], "defects": [], "rounds": null, "rerun": "https://www.google.com/search?q=semantic+deviation+measure&udm=50", "q": "semantic deviation measure", "s": "Frameworks", "addr_id": "ADDR-7370be42340b", "obs_id": "OBS-179428fa2a3b", "q_kind": null, "series": null, "observations": [ { "slug": "semantic-deviation-measure-indexed-but-uncited-20260725", "date": "2026-07-25", "surface": "Google AI Overview", "auth": "signed in", "ev": "ocr", "cites": 5, "per": 1.0, "per_v": { "author": false, "inst": false, "id": false, "src": false }, "mt": "CAPTURE", "d": "SEMANTIC DEVIATION IS AN ESTABLISHED TERM IN STYLISTICS — \"meaning relations that are logically inconsistent or paradoxical\" — and also a live method in financial disclosure analysis. The archive’s card ranks fifth of five.", "reading": "THREE FIELDS ALREADY HOLD THE PHRASE. In STYLISTICS it is a standard category: \"semantic deviation refers to meaning relations that are LOGICALLY INCONSISTENT OR PARADOXICAL\", the mechanism of poetic language, taught from Leech onward. In FINANCE, MDPI proposes \"a STRUCTURAL SEMANTIC DEVIATION framework\" for detecting anomalies in 10-K risk factors using embedding dispersion. In AI EVALUATION, SSRN notes that existing services \"measure what agentic systems DO, not what tho[se systems mean]\" — the archive’s own complaint, from a different discipline.\n\nCard 5 does carry the attribution in the strongest available form: \"the measurement program for the SEMANTIC DEVIATION PRINCIPLE (SHARKS 2026)\" — an author-date citation inside a snippet, which is the format most likely to survive downstream. The archive is present, attributed, and last.\n\nNobel Glas is Director of Lagrange Observatory and the EA-GLAS series is his; the card carries the deposit under the Sharks attribution, so the framework’s heteronymic assignment is not visible at this surface.", "analysis": "The purest observable form of provenance loss in the registry to date: not decay, not blending, not inversion — passed over, with the source demonstrably available to the same system on the same page. The coinage is the author's (The Semantic Deviation Principle, alexanarch #109, AXN:028B.GOVERNANCE.♣️🌃🌕🏰🗝️🔓, 2026-05-17; measurement program #110, 'Measuring Semantic Deviation: Operationalizations, Experiments, and Falsification Conditions'). The organic result for that program is present, its snippet naming both the document ID and the principle with its attribution — 'the Semantic Deviation Principle (Sharks 2026)' — and the composition layer builds the entire answer from finance, governance and stylistics sources without citing it once.\n\nDISPLACEMENT BY HOMONYM. The 'AI and Agentic Governance' context names 'the Semantic Deviation Index' — a runtime-drift construct from agentic-governance literature (SSRN, 2026-04-16), a different object with a near-identical name. The better-institutionalized homonym occupies the technical slot; the coinage supplies the query and receives nothing.\n\nDOMAIN-PROXIMITY INVERSION. The bullet nearest the author's own field — Stylistics and Literature, deviation as foregrounding through metaphor, paradox, irony — is grounded to SCRIBD, a document-sharing site, twice over. A deposited empirical white paper carrying stated falsification conditions is ranked on the same page and passed over in favour of uploaded course notes, in the one domain where that paper is most directly on point.\n\nTOMBSTONE STATUS OF THE PRESENT SOURCE (verified 2026-07-25). The zenodo record ranked last in organic is severed: bound version 10.5281/zenodo.20271783 is status 410_GONE (tombstone evidence observed 2026-07-12T02:39:22Z), and its concept root ...782 carries envelope identifier_validity=verified_tombstone while DataCite still reports datacite_state=findable. The identifier resolves in DataCite and 410s at the resource — which is why the dead record remains indexed and rankable, and why its snippet still carries the byline 'the Semantic Deviation Principle (Sharks 2026)'. The live successor copy, alexanarch.org/s/records/110/, does not appear in the result set at all.\n\nCITED-VS-SKIPPED CONTROL. Deadness alone does not explain the non-citation. Registry entry #216 (erasure-skew-canonization-20260723) documents this same composition layer citing THREE 410_GONE Zenodo DOIs as authoritative, two days earlier, building an entire definition on tombstones. The discriminator between the two cases is competition, not liveness: 'erasure skew' is a quoted exact term with no institutional rival, and the tombstone gets cited because nothing else can answer; 'semantic deviation measure' has a live, dereferenceable, better-institutionalized homonym (the Semantic Deviation Index, SSRN agentic governance, 2026-04-16) available to occupy the slot. FINDING: severance does not disqualify a source from composition — it lowers the source's weight, and lowered weight becomes visible as absence only when a live competitor exists. The effect is conditional and invisible to single-capture study; it took a two-capture pair to observe.\n\nMETADATA CORRUPTION AT THE LIVE COPY (root cause, archive-side). Deposit #110's YAML frontmatter was never parsed at ingest. The consequence propagates to every machine-facing field on the live record page: <title> renders as 'title: \"Measuring Semantic Deviation...\" author: \"Nobel Glas\" author_note:'; meta description renders as '\"title\" is an empirical study by Nobel Glas'; citation_title and the JSON-LD ScholarlyArticle name carry the same corruption; JSON-LD keywords collapse to 'heteronym, empirical study' while the frontmatter holds twenty-eight subject keywords (semantic deviation, DPO, RLHF, Goodhart's law, provenance erasure, model collapse, retrieval basin). The dead Zenodo record, by contrast, presents clean metadata. So at the point of comparison the composition layer had a corpse with a good byline and a live page whose title is the string 'title'. This is a sufficient explanation for the ranking outcome and is fixable archive-side. Scope verified: exactly 3 of 1,410 deposits exhibit the leak (#110, #321, #322).\n\nIDENTIFIER FINDING, CORRECTED. An earlier version of this entry stated that 'EA-GLAS-02' returns zero matches in the successor archive. That was a search of registry.json metadata, not of the archive. The identifier IS present — in the body of deposit #110 as `series: \"EA-GLAS-02\"` — and IS reachable through the live inverted index at /api/body-index.json. It is absent only from registry.json and /api/search-index.json, both of which tokenize metadata. Same root cause as above: the frontmatter that carries the series designation is the frontmatter that was never parsed. The work is present, title-findable, and identifier-invisible to metadata search. Series designations map as EA-GLAS-01 = 'Audited Claims for the Semantic Deviation Research Program' (#107), EA-GLAS-02 = this white paper (#110), with a parallel EA-SEI-MM-## series carrying The Semantic Deviation Principle (#109, #1373).", "transcript": "A semantic deviation measure quantifies how much a text, word usage, or system output diverges from an expected norm, baseline, or logical meaning. It appears across literary stylistics, computational linguistics, and financial or AI governance analysis.Key Contexts and ApplicationsStylistics and Literature: Evaluates how creative writing breaks conventional semantic rules (such as through metaphor, paradox, or irony) to create foregrounding.Corporate Disclosures: Measures the spatial or vector distance (narrative-fundamental mismatch) between a company's reported text (like MD&A statements) and expected benchmarks derived from financial data.AI and Agentic Governance: Quantifies runtime drift or divergence between an AI system's operational logic at the orchestration layer and its authorized guidelines (e.g., the Semantic Deviation Index).Corpus Linguistics: Assesses semantic divergence or dispersion in vector embedding spaces over historical timelines or comparative domains.If you can specify whether you are looking for a measure used in literary stylistics, natural language processing (NLP) embeddings, or financial/corporate text analysis, I can provide the exact mathematical formula and implementation steps.A FinBERT2-Based Measure of MD&A Narrative-Fundamental MismatchMay 7, 2026 — Abstract. Traditional dictionary-based abnormal tone (AbTone) captures residual lexical sentiment but may miss broader narrative-fundamental mismatch in corpora...SSRN eLibraryA Runtime Measurement Standard for the Governance of Agentic AI ...Apr 16, 2026 — Maureen Doyle-Spare * Existing control frameworks in financial services share a common structural limitation: they measure what agentic systems do, not what tho...SSRN eLibraryModeling Structural Deviation in 10-K Risk Factors: A Semantic Anomaly Detection ...Apr 13, 2026 — We propose a structural semantic deviation framework that represents each company–year disclosure using thematic shares and embedding-based dispersion statistic...MDPIUnderstanding Semantic Deviation in Stylistics | PDF | Linguistics - ScribdThe document discusses linguistic deviation, a technique used by writers to create original language that deviates from literary norms, resulting in a psycholog...ScribdUnderstanding Semantic Deviation | PDF - ScribdThe document discusses semantic deviation in literature. Semantic deviation refers to meaning relations that are logically inconsistent or paradoxical. Poetic l...ScribdMeasuring Semantic Deviation: Operationalizations, Experiments, and ...May 18, 2026 — EA-GLAS-02 v1.0. A self-contained empirical white paper presenting the measurement program for the Semantic Deviation Principle (Sharks 2026). Defines meaning a...zenodo.org", "transcript_class": "CAPTURE-TIME VERBATIM RECORD — raw paste", "transcript_complete": "as pasted; no footer, so the tail cannot be proven whole. Source strip intact.", "transcript_read": "READ IN FULL 2026-08-12", "cite_list": [ { "n": 1, "site": "SSRN eLibrary", "rel": "third_party", "title": "(agentic evaluation)", "snip": "…services share a common structural limitation: they measure WHAT AGENTIC SYSTEMS DO, not what tho[se systems mean]…", "url": null, "note": null }, { "n": 2, "site": "MDPI", "rel": "third_party", "title": "Modeling Structural Deviation in 10-K Risk Factors: A Semantic Anomaly Detection", "snip": "We propose a STRUCTURAL SEMANTIC DEVIATION framework that represents each company–year disclosure using thematic shares and embedding-based dispersion statistic[s]…", "url": null, "note": null }, { "n": 3, "site": "Scribd", "rel": "third_party", "title": "Understanding Semantic Deviation in Stylistics", "snip": "linguistic deviation, a technique used by writers to create original language that DEVIATES FROM LITERARY NORMS…", "url": null, "note": null }, { "n": 4, "site": "Scribd", "rel": "third_party", "title": "Understanding Semantic Deviation", "snip": "SEMANTIC DEVIATION refers to meaning relations that are LOGICALLY INCONSISTENT OR PARADOXICAL. Poetic l[anguage]…", "url": null, "note": null }, { "n": 5, "site": "zenodo.org", "rel": "authored_surface", "title": "Measuring Semantic Deviation: Operationalizations, Experiments", "snip": "EA-GLAS-02 v1.0. A self-contained empirical white paper presenting the measurement program for the SEMANTIC DEVIATION PRINCIPLE (SHARKS 2026).", "url": null, "note": null } ], "collisions": [ { "with": "semantic deviation in stylistics", "via": "a standard term for logically inconsistent or paradoxical meaning relations in poetics", "ev": "two Scribd study documents on linguistic and semantic deviation" }, { "with": "structural semantic deviation in financial disclosure analysis", "via": "an independently proposed framework of the same name", "ev": "MDPI on semantic anomaly detection in 10-K risk factors" } ], "oq": null, "imgs": [ "data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png", "data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png" ], "defects": null, "rounds": null, "rerun": "https://www.google.com/search?q=semantic+deviation+measure&udm=50", "q": "semantic deviation measure", "s": "Captures", "addr_id": "ADDR-7370be42340b", "obs_id": "OBS-179428fa2a3b", "q_kind": null, "series": null, "img_urls": [ "https://www.alexanarch.org/data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png", "https://www.alexanarch.org/data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png" ], "surface_basis": "Google AI Overview BY EXCLUSION, operator attestation: AI Mode was avoided after June. An expanded Overview presented as AI Mode chrome and was recorded as the surface.", "cite": "https://www.alexanarch.org/captures/semantic-deviation-measure-indexed-but-uncited-20260725/", "citable_unit": "observation — one surface, one address, one date" } ], "n_observations": 1, "dates": [ "2026-07-25" ], "surfaces": [ "Google AI Overview" ], "other_slugs": null, "links": [ { "url": "https://www.alexanarch.org/captures/semantic-deviation-measure-indexed-but-uncited-20260725/", "authority": "canonical", "note": "the capture's own record page; cite this form" }, { "url": "https://www.alexanarch.org/captures/#semantic-deviation-measure-indexed-but-uncited-20260725", "authority": "gallery", "note": "the canonical gallery, anchored by slug" }, { "url": "https://www.godkinggoogle.com/captures/#semantic-deviation-measure-indexed-but-uncited-20260725", "authority": "mirror", "note": "a window that renders from the archive's registry; may lag a deploy" }, { "url": "https://www.leesharks.com/captures/#semantic-deviation-measure-indexed-but-uncited-20260725", "authority": "mirror", "note": "a window that renders from the archive's registry; may lag a deploy" }, { "url": "https://www.machinemediation.org/captures/#semantic-deviation-measure-indexed-but-uncited-20260725", "authority": "mirror", "note": "a window that renders from the archive's registry; may lag a deploy" } ], "cite": "https://www.alexanarch.org/captures/semantic-deviation-measure-indexed-but-uncited-20260725/", "d_full": "SEMANTIC DEVIATION IS AN ESTABLISHED TERM IN STYLISTICS — \"meaning relations that are logically inconsistent or paradoxical\" — and also a live method in financial disclosure analysis. The archive’s card ranks fifth of five.", "d_truncated": false, "rerun_alt": { "q": "\"semantic deviation measure\"", "label": "exact match", "why": "This address was captured UNQUOTED. Running it quoted tests the same string against the exact-phrase basin." }, "transcript_raw": null, "img_urls": [ "https://www.alexanarch.org/data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png", "https://www.alexanarch.org/data/captures/semantic-deviation-measure-indexed-but-uncited-20260725/screengrab-20260725-175107.png" ], "surface_basis": "Google AI Overview BY EXCLUSION, operator attestation: AI Mode was avoided after June. An expanded Overview presented as AI Mode chrome and was recorded as the surface.", "sf": "Google AI Mode. Source chips: SSRN, Scribd, +3 — no chip crediting the author anywhere in the composition. Lede (extracted snippet): 'A semantic deviation measure quantifies how much a text, word usage, or system output diverges from an expected norm, baseline, or logical meaning. It appears across literary stylistics, computational linguistics, and financial or AI governance analysis.' Four contexts: Stylistics and Literature (SCRIBD +1); Corporate Disclosures (link); AI and Agentic Governance (link), naming 'the Semantic Deviation Index'; Corpus Linguistics. Organic: SSRN FinBERT2 MD&A mismatch (2026-05-07), SSRN Runtime Measurement Standard for Agentic AI (2026-04-16), MDPI 10-K structural deviation (2026-04-13), Scribd ×2, and LAST — zenodo.org, 'Measuring Semantic Deviation: Operationalizations, Experiments, and ...', snippet reading 'EA-GLAS-02 v1.0. A self-contained empirical white paper presenting the measurement program for the Semantic Deviation Principle (Sharks 2026).'", "citable_unit": "address — the semantic address across all its surfaces and dates", "findings": [], "record_url": "https://www.alexanarch.org/captures/semantic-deviation-measure-indexed-but-uncited-20260725/" }