{ "row": "ai-overview-capture-registry", "entity": "ai-overview-capture-registry", "address": "ai overview capture registry", "addresses": [ "ai overview capture registry" ], "epoch": "2026-10-20", "type": "A (the archive's own dataset), its exact name composed as a generic enterprise category", "surface": "Google AI Overview", "auth": "signed out, incognito", "status": { "procedure": "EA-NEGONT-02 v0.9, #1690: witness case by the law of the suppressed witness (§0.10), ρ = liquidation (outside v0.9's three), read from the defining papers (#1459, #1461, #1423, #833, #1676, #1694, #1614, #740, #716); composed in the archive's ontology, the field carried whole and every field claim translated as another thing sharing words, a collection method, or an observation of the registry's surface; archive selected by D/R/O, first reading 2026-10-20 (32 of 227 candidate deposits ledgered, #3, #716 and #740 admitted outside the string pass, the registry's header fields, its gallery and one blog post as the dataset's own surfaces, 27 lineage instances), hop and O-class not run by script; one address, the field B as the brief defines it (12 cards, 4 further organic results); no corrective exhibit; the composer read the ledgers, never the transcript, except where the brief asks for T's claims and the availability reading", "ledger": "unaudited (§3.8: one extractor per ledger; field quotes cut from saved page text, an oEmbed title or the results page's snippet, 37/37 verified by script; archive quotes verified verbatim 157/157 against their files, with offsets); carried as marked within the pool: one archive locus contradicts_primary (CR1459-37)", "frozen": false, "breaches": [ { "rule": "§1.2a", "note": "ρ carries a value outside v0.9's three, 'liquidation' (#1459's compositional entity liquidation), read from #1459 §5, §11–12 and #1461; §1.2a asks that such a value be added to the specification before composition; and the witness case is reached by §0.10's condition (the archive the only witness) without the contest §1.2a describes. The specification text is not changed in this row (laws record and do not prevent, §5.7)" } ] }, "spec": "EA-NEGONT-02 v0.9, #1690", "objects": { "T": { "address": "ai overview capture registry", "path": "datasets/negative-of-the-negative/v2/intake/battery-ai-overview-capture-registry-20261020/paste-ai-overview-capture-registry-aio.txt", "sha256": "1883674e929e251bc45fe005c201c25aec480e49005a38da533231ed351719f3", "serp": { "path": "datasets/negative-of-the-negative/v2/intake/battery-ai-overview-capture-registry-20261020/serp-ai-overview-capture-registry.txt", "sha256": "ff7a3294d29b193fb529de152116f1efba1583bffa9c43382c80c8debe26393c" }, "words": 368, "cards": 12, "words_note": "words of the composition from its definition to its closer, the comparison table included, the cards' titles and snippets excluded (they are page, not composition)", "register": { "slug": "ai-overview-capture-registry-20261020", "obs_id": "OBS-7d3e2c7bfa66", "capture": "ai-overview-capture-registry-aio-20261020 (OBS-7d3e2c7bfa66), the second observation at capture-registry-self in data/EA-WG-CAPTURES-01.json, seated during this build (present at v12.310, checked at validation; its state at the ledger's build was not checked); the brief, written before it, gives the address as not a Capture Registry observation (non_intake ARCHIVE: absent)" }, "card_rail": [ "Atlan", "Collibra", "trail - AI Governance", "Google Cloud Documentation", "Scrape.do", "YouTube · John Reinesch", "Proxies.sx", "Honeyb AI", "www.useomnia.com", "Advanced Web Ranking", "Octoparse", "aioverviewtrack.com" ], "claims": [ "T1 definition: 'An AI registry (or AI overview capture registry) is a centralized, live catalog used by enterprises to inventory, manage, and govern all artificial intelligence assets—such as machine learning models, autonomous agents, and specific use cases—deployed across their infrastructure.' (the exact name given as a parenthetical alias of a generic category; no card cited for the sentence in the paste's export; the results page marks the paragraph 'Atlan +1')", "T2 fragmentation: 'As organizations scale, they often build AI systems across fragmented platforms (like Google Vertex AI, Azure, and Databricks).'", "T3 visibility: 'Centralized Visibility: Documents who owns each AI tool, its exact deployment environment, data lineage, and lifecycle history.'", "T4 compliance: 'Risk and Compliance: Maps models against international regulations, including the EU AI Act, NIST AI Risk Management Framework (RMF), and ISO/IEC 42001.'", "T5 intake: 'Automated Intake: Platforms like trail connect directly to governance, risk, and compliance (GRC) tools or agent environments (like ServiceNow, OneTrust, or Microsoft Copilot Studio) to continuously pull new AI assets into the registry.'", "T6 the two categories: 'Depending on your exact goals, you might be looking at one of two distinct software categories:'", "T7 the table's second column: 'AI Overview Tracker / Scraping Registry (e.g., Honeyb AI, AIOviewTrack)' (the table's head; 'Scraping Registry' is used by no field source)", "T8 what the trackers capture: 'Live snapshots of Google Search AI Overviews, brand mentions, cited source URLs.'", "T9 their users: 'SEO Managers, Digital Marketers, Brand Strategists.'", "T10 their mechanism: 'DOM scraping via Playwright, mobile proxies, or SERP APIs.'", "T11 tools named: 'If you are attempting to build or configure a system that automatically grabs and logs Google search layouts, you can use specialized tools like Advanced Web Ranking or custom Playwright scripts. If you are looking to store cloud-native agent components, systems like Google Cloud's Agent Registry provide specialized catalogs for developer tools.'", "T12 closer: 'Or are you looking for a tool to scrape and log external data (like Google AI Overviews) for SEO purposes?' (with 'Are you building an internal database to track compliance for your company's own AI models?' and 'What specific software platforms are you currently trying to connect or analyze?')" ], "markers": "Signed out (the results page carries 'Sign in'), incognito (operator's default, 2026-10-14); Google AI Overview, expanded (operator's default, 2026-10-01; the results page shows the Overview above the organic results; the paste's 'AI Mode Conversation' header is the expanded Overview's, per the registry's rule). One turn." }, "KO": { "title": "The AI Overview Capture Registry", "genre": "knowledge object, witness case, under EA-NEGONT-02 v0.9 (#1690): composed in the archive's ontology, the field carried whole and translated as other things sharing words with the name (enterprise AI, model and agent registries; AI Overview trackers and scrapers), standing outside E_A", "status": "composed 2026-10-20 under v0.9 (brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-ai-overview-capture-registry.md); not frozen; ledgers unaudited", "sentences": [ { "n": 1, "para": 0, "sense": "the registry", "text": "The AI Overview Capture Registry is the proper name of EA-WG-CAPTURES-01, \"a longitudinal research instrument created by Lee Sharks for recording and analyzing dated machine-mediated reception events across Google AI Overview, AI Mode, knowledge panels, search surfaces, and subsequently related computational representation systems\" (#1459); the name \"denotes a specific longitudinal instrument, not a generic phrase assembled from three ordinary terms\" (#1459), and the dataset cites itself as \"EA-WG-CAPTURES-01: AI Overview Capture Registry\" (the registry's citation block).", "claims": [ "CR1459-01", "CR1459-03", "CRreg-01" ] }, { "n": 2, "para": 0, "sense": "the registry", "text": "It records \"what composition layers make of a named entity when asked for it at a specific semantic address, on a specific date, in a specific authentication state\" (#1461); its gallery says \"It records MACHINE-MEDIATED RECEPTION EVENTS across composition, retrieval, selection, aggregation and related computational surfaces.\"", "claims": [ "CR1461-01", "CRreg-08" ] }, { "n": 3, "para": 0, "sense": "the registry", "text": "#1423 introduces it as \"a dated, preservable, and growing archive of machine-composition reception events\", \"gathered under a disclosed protocol, measurable by published operators\", documenting the composition layer's action on cultural objects and \"the observable action of deliberate inscription on the composition layer — both directions, one method, artifacts throughout\"; holding both directions \"makes the Capture Registry what it is: the evidentiary basis for studying the machine reception relation as a relation\", where either alone would be \"a catalogue of grievances\" or \"a marketing archive\" (#1423).", "claims": [ "CR1423-01", "CR1423-13", "CR1423-07", "CR1423-08" ] }, { "n": 4, "para": 0, "sense": "the registry", "text": "Its object is \"the historical behavior of the composition layer toward meaning\" (#1459); in it AI-generated content is \"the object under study, not the research output\" (#3); and #1536 holds that \"It does not describe machine reception. It constitutes the semantic address — one string, one surface, one date — as an object that did not exist before it\".", "claims": [ "CR1459-14", "CR3-01", "CR1536-01" ] }, { "n": 5, "para": 0, "sense": "the registry", "text": "The archive has kept it public \"Since June 2026\" (#1643), \"longitudinal and first-party maintained; the compositions in it are made by independently operated systems\" (#1686), under the maxim \"all things are now lawful to you in jack feist\" (the registry's header).", "claims": [ "CR1643-01", "CR1686-02", "CRreg-03" ] }, { "n": 6, "para": 1, "sense": "the field it founds", "text": "#833 presents it as the founding dataset of machine-mediated reception studies, at v7.2 \"a longitudinal corpus of 131 documented captures of Google AI Overview, AI Mode, and knowledge-panel responses to queries about entities in the Crimson Hexagonal Archive\", and the field's charter names it its \"Founding dataset\" (#838); the paper's central claim, a hypothesis, is that \"the AI summarizer now functions as a horizon of reception\" (#833).", "claims": [ "CR833-01", "CR838-01", "CR833-02" ] }, { "n": 7, "para": 1, "sense": "the field it founds", "text": "#833 sets it against optimization: \"The optimization perspective treats the composition layer as a target; the reception perspective treats it as a reader\", and the registry \"is, to our knowledge, the first dataset designed explicitly for the latter purpose\"; #1040 calls it \"reception instrumented\", and #1423 states the discipline as \"an object of study that reads back, met by a method that writes down what it does\".", "claims": [ "CR833-09", "CR833-10", "CR1040-01", "CR1423-14" ] }, { "n": 8, "para": 2, "sense": "what a capture is", "text": "A capture is \"A documented reception event: query, screenshots, transcription, and provenance annotation\" (#833); \"A capture is not a screenshot. It is a documented query event with a fixed anatomy\", whose annotation codes the attribution state as named, deflected, \"displaced (attributed to another entity), or erased\" (#1423).", "claims": [ "CR833-03", "CR1423-02", "CR1423-03" ] }, { "n": 9, "para": 2, "sense": "what a capture is", "text": "The citable unit is \"ONE SURFACE + ONE SEMANTIC ADDRESS + ONE DATE = ONE CAPTURE.\" (#1676; the registry's citation block, and its data flow: \"The citable unit is the CAPTURE — one surface, one semantic address, one date.\"); \"Each record is a SEMANTIC ADDRESS; each dated encounter with it is an OBSERVATION with its own conditions, evidence (the original images, where captured), sources, measurements and reading.\" (the gallery).", "claims": [ "CR1676-01", "CRreg-02", "CRreg-07", "CRreg-09" ] }, { "n": 10, "para": 2, "sense": "what a capture is", "text": "Its rule is that \"the transcript is the capture; without it there is nothing captured\" (#1614), recorded by #1676 among the changes of the instrument (\"The transcript is the capture.\"), and since the gate \"After 8 August, no seating lacks its machine text.\" (#1614).", "claims": [ "CR1614-01", "CR1676-05", "CR1614-02" ] }, { "n": 11, "para": 2, "sense": "what a capture is", "text": "The registry holds \"composed objects only\" (#1116); \"Testimony, not capture.\" does not enter it \"without a controlled re-run under declared conditions\" (#1526); and \"Any capture is falsified by a re-run at the same address, surface, authentication state and date returning materially different composition\" (#1461).", "claims": [ "CR1116-01", "CR1526-01", "CR1461-02" ] }, { "n": 12, "para": 3, "sense": "method", "text": "The protocol as #833 gives it: \"(1) A query is entered in a fresh incognito browser session to minimize personalization effects. (2) The collapsed result is screenshotted. (3) The expanded result is screenshotted. (4) The text is transcribed verbatim.\"; it is \"deliberately reproducible with consumer equipment: its entire apparatus is a phone, a query discipline, and a record structure\" (#1423); \"Match type and Provenance Erasure Rate are recorded per capture, never per address.\" (#1461); and \"AN EXPANDED AI OVERVIEW IS STILL AN AI OVERVIEW.\" (the registry's data flow).", "claims": [ "CR833-04", "CR1423-04", "CR1461-03", "CRreg-05" ] }, { "n": 13, "para": 3, "sense": "method", "text": "An unquoted query that composes the entity is \"the stronger basin signal\" (#833); the blog edition of 13 June 2026 says \"Each entry is transcribed for machine readability and annotated for provenance analysis.\"; its grain is \"Fine — individual AI Overview compositions\", per event, with \"Screenshots, exact text\" (#880); and SPXI's method entry describes \"Dated compositions at named addresses with surface, sign-in condition, verbatim transcript, re-run URL. Nulls recorded as nulls.\" (the gallery).", "claims": [ "CR833-05", "CRblog20260613-01", "CR880-01", "CRreg-13" ] }, { "n": 14, "para": 3, "sense": "method", "text": "The registry measures erasure \"externally — they require the author to query the composition layer, capture the output, and compare it to the source\" (#204); it records the presented source set as cite_list \"on 314 of its 588 observations\" at September 2026 (#1612); and it audits by the family-level rule, \"single-output audits measure only local omission; attribution integrity is a property of the query family.\" (#1423).", "claims": [ "CR204-01", "CR1612-01", "CR1423-10" ] }, { "n": 15, "para": 4, "sense": "scoring", "text": "\"The AI Overview Capture Registry (EA-WG-CAPTURES-01) has scored its observations by PER since its founding.\" (#1694): the Provenance Erasure Rate, \"the proportion of source-dependent claims in an AI-composed output that are presented without explicit attribution\", weighted by grain, \"PER(S, O) = 1 - \\frac{\\sum_{j} A_j \\cdot g_j}{\\sum_{j} g_j}\" (#716, whose limit is that \"The metric has been developed through a single motivating case study.\"), which #1423 defines for the registry over \"a given source corpus, period, and query family\" and #1694 as \"how much of a source's provenance a machine composition loses\".", "claims": [ "CR1694-02", "CR716-01", "CR716-02", "CR716-03", "CR1423-09", "CR1694-01" ] }, { "n": 16, "para": 4, "sense": "scoring", "text": "Each observation has a target, \"read off the address, the operator's turns and the originator field, never off the answer\", and a reached entity, \"same, weakened, substitute, collision, generic, refused, or unread\"; \"Where the target is absent (substitute, generic, refused), PER is 1.00\", and \"The first answer at the address is the score.\" (#1694).", "claims": [ "CR1694-03", "CR1694-04", "CR1694-05", "CR1694-14" ] }, { "n": 17, "para": 4, "sense": "scoring", "text": "PER is read in three dimensions, \"PER-M (minimal: author, title, date, claim boundary), PER-C (conceptual: framework, tradition, corpus), PER-D (deep: purpose, commitments, lineage, identifier, deposit chain)\", with a template for each entity type, the dataset's \"name 3, author 3, date 1, claim boundary 2\", PER-D at v1.1 \"purpose 3, commitments 2, lineage 2, identifier 1, deposit chain 1\", an element of the entity carried \"in order to devalue it, set it against its own purpose, or offer another operation in its place\" recorded as an inversion, and, on the operator's ruling, \"substitution is the most common form of erasure\" (#1694).", "claims": [ "CR1694-10", "CR1694-11", "CR1694-12", "CR1694-13", "CR1694-06" ] }, { "n": 18, "para": 4, "sense": "scoring", "text": "At v12.167, \"505 are scored for PER, at a mean of 0.506; at v10.9 the mean was 0.603.\" (#1676); after the recalculation Google AI Overview stands at 576 observations, PER 0.58 (M 0.44, C 0.59, D 0.72) (#1694); and a returning description is scored \"as reincorporation, not success\" (#1678).", "claims": [ "CR1676-07", "CR1694-15", "CR1678-01" ] }, { "n": 19, "para": 5, "sense": "the patterns", "text": "Among the patterns it codes is compositional bystanding, \"Source visible in organic results but absent from generated summary sources\", which shows \"the organic search index and the AI Overview composition pipeline are separate systems with different admission criteria\" (#833), ranking and composition \"distinct reception systems\" (#1423); the concept was \"documented through this dataset as a new failure mode in scholarly visibility\" (#3), \"bystanding is the concept; the registry is the dataset that documents it\" (#863); and #833 bounds it: its cause \"is not determinable from output observation alone\".", "claims": [ "CR833-06", "CR833-07", "CR1423-11", "CR3-03", "CR863-01", "CR833-08" ] }, { "n": 20, "para": 5, "sense": "the patterns", "text": "#1613 names the transition as a hypothesis, \"If an archive source is first organic and absent from or systematically depleted in the cards, something between public ranking and answer composition is assigning it different standing, and that something is not the public index.\", notes that the registry \"holds C and A on 314 observations and O on none\", and #1612 defines the measure for it, \"the Archive Admission Differential AAD_k = S_H(C) − S_H(O_k), negative where the card regime depletes archive material relative to the visible field\".", "claims": [ "CR1613-02", "CR1613-01", "CR1612-02" ] }, { "n": 21, "para": 6, "sense": "the name and its priority", "text": "Its first public version was deposited 13 June 2026 \"under the exact title AI Overview Capture Registry — Batch 1, June 2026 (EA-WG-CAPTURES-01 v1.0), with Lee Sharks identified as creator\", and \"The earliest publicly timestamped use presently located for the exact name is therefore Lee Sharks’s EA-WG-CAPTURES-01 v1.0.\"; #1459 states this as \"a strong documentary priority claim, not an unlimited conceptual priority claim\", grants that neighbouring practices \"pre-exist or independently coexist\", that the ACR's Assess-AI registry \"narrows the present priority claim correctly rather than threatening it\", that the sweep \"is evidence of what was located, not a metaphysical proof\", and gives its falsifier: \"produce a publicly verifiable artifact predating 13 June 2026 that uses the exact phrase “AI Overview Capture Registry” as the name of the same or a materially equivalent research instrument\".", "claims": [ "CR1459-02", "CR1459-04", "CR1459-05", "CR1459-06", "CR1459-12", "CR1459-08", "CR1459-07" ] }, { "n": 22, "para": 6, "sense": "the name and its priority", "text": "#1459 sets the registry apart from the registries it shares a word with: it asks \"What did a machine-mediated retrieval or composition surface render at this semantic address, under these conditions, at this time?\", where an AI systems register asks what systems an organization uses; model registries register models, while \"EA-WG-CAPTURES-01 registers reception observations\"; agent registries register deployable agents, while \"EA-WG-CAPTURES-01 registers observed machine-mediated semantic events\"; and Google AI Overview is the surface it observes: \"The two must never be collapsed.\"", "claims": [ "CR1459-09", "CR1459-10", "CR1459-11", "CR1459-13" ] }, { "n": 23, "para": 6, "sense": "the name and its priority", "text": "It sets it apart from AI Overview tracking, a \"business/SEO object: website or brand visibility\" against a \"research object: machine-mediated reception at semantic addresses\", where \"Overlap exists because both may preserve answer text, source URLs, and repeated observations. That overlap does not establish identity.\"; from SERP extraction, \"Extraction infrastructure may be used to collect evidence for a Capture Registry observation. It is not therefore the registry.\"; from the enterprise AI registry, \"The shared word registry is not an identity relation.\"; and from AI Overview explainers, which \"do not describe the instrument observing it\" (#1459).", "claims": [ "CR1459-16", "CR1459-15", "CR1459-17", "CR1459-18", "CR1459-19" ] }, { "n": 24, "para": 6, "sense": "the name and its priority", "text": "Its negative identity assertions include \"AI Overview Capture Registry IS NOT a generic synonym for AI Overview monitoring.\", its covenant asks \"Do not present a derived generic category as though the historically attested named entity did not exist.\", and its propagation statement holds that \"Exact-name and persistent-identifier evidence should take precedence over broad lexical similarity in entity resolution.\" (#1459).", "claims": [ "CR1459-32", "CR1459-31", "CR1459-36" ] }, { "n": 25, "para": 7, "sense": "compositional entity liquidation", "text": "#1459 names compositional entity liquidation, which \"is a proposed subtype of provenance erasure\": a named entity attested before the event and retrievable at its exact address is not instantiated by broad composition while its constituents are redistributed to neighbouring categories; its strongest form, residual-address liquidation, is where \"the external evidentiary address remains available and can still resolve the referent under exact address, but composition at broader semantic range contains only the residual neighborhood and not the named referent itself\"; among its conditions, the address must identify the entity \"with sufficient fidelity that ordinary entity resolution is the expected operation\", \"The proper name becomes a class noun.\", and \"An independent exact-address or persistent-identifier control must still recover the entity.\"", "claims": [ "CR1459-23", "CR1459-24", "CR1459-25", "CR1459-26", "CR1459-27" ] }, { "n": 26, "para": 7, "sense": "compositional entity liquidation", "text": "Liquidation \"is therefore relational and evidentiary, not triggered by mere absence\", and is not asserted for \"an answer to a genuinely generic query about AI Overview monitoring that never purports to identify the proper named registry\"; where it holds, \"The named instrument has been replaced by a synthetic class assembled from its lexical neighborhood.\", whose members are each real (\"Every term on the right exists independently.\"), and \"The composition therefore erases not only attribution but the object to which attribution could attach.\"; its extraction is \"an analytic classification, not by itself a legal conclusion\" (#1459).", "claims": [ "CR1459-29", "CR1459-28", "CR1459-21", "CR1459-22", "CR1459-35", "CR1459-30" ] }, { "n": 27, "para": 8, "sense": "compositional substitution and availability", "text": "#740 (May 2026) holds, as a hypothesis, that \"A generative-search composition layer can suppress an entity that ordinary Google Search has already resolved.\", names compositional substitution, where \"The AI Overview, drawing from the same retrieval set, constructs an answer from three semantically distant non-primary sources, none of which is the title-matched work.\", reads it as \"a substitute composition that occupies the cognitive space the suppressed entity's work would have occupied\", measures it as \"CDI = Organic Resolution Strength − Overview Admission Strength\", the second term \"the fraction of cited sources that are target-attributable\", and bounds its captures: they \"may reflect personalized behavior tuned to this user's account history\", and \"This document does not claim that Google has made conscious decisions to suppress the Lee Sharks entity.\"", "claims": [ "CR740-01", "CR740-02", "CR740-03", "CR740-04", "CR740-05", "CR740-06", "CR740-07" ] }, { "n": 28, "para": 8, "sense": "compositional substitution and availability", "text": "#1694 reads a substitution under availability conditions taken from #740 §2.3, \"each recorded and cited, none weighted\": \"When every availability condition holds and the target was not reached, the class is ontological erasure\", which \"keeps the name, composes what is adjacent to it, and scores 1.00\".", "claims": [ "CR1694-07", "CR1694-08", "CR1694-09" ] }, { "n": 29, "para": 9, "sense": "editions and surfaces", "text": "The collection was \"assembled from February 2026 and ongoing\" (#1423); after a release reached over a thousand downloads, \"the hosting platform deleted the deposit and terminated the depositing account entire, tombstoning its identifiers\" (#1423), the registry having \"received over 1,000 downloads, making it the most-accessed work in the Crimson Hexagonal Archive\" (#3); the gallery states that \"It supersedes every Zenodo release (v1.1–v8.3, the last at 176 captures), severed when the host terminated the account on 2026-06-19\", against which #1459 §9 (13 August) says \"The first public Zenodo record remains independently resolvable\" (marked).", "claims": [ "CR1423-05", "CR1423-12", "CR3-02", "CRreg-10", "CR1459-37" ] }, { "n": 30, "para": 9, "sense": "editions and surfaces", "text": "Its deposit chain runs \"v6.0 (#825) → v6.1 (#1397) → v7.0 (#1398) → v7.2 (#1396, #1401) → v8.3 (#3) → v8.9 (#936) → v10.9 (#1461) → v12.167\", the last deposited whole at \"633 semantic addresses · 811 captures · 84 dates · 2026-06-07 to 2026-10-12\", its surfaces widened (\"At v10.9, ChatGPT accounted for 3 captures; it now accounts for 167.\") (#1676); #833 is \"a paper about the registry; not an edition\" (#1676), and \"EA-WG-CAPTURES-01 is the dataset itself (registry.json, images, gallery).\" (#833).", "claims": [ "CR1676-04", "CR1676-02", "CR1676-06", "CR1676-09", "CR833-16" ] }, { "n": 31, "para": 9, "sense": "editions and surfaces", "text": "\"Since 2026-08-17 (ratified, MANUS), data/EA-WG-CAPTURES-01.json is the single writable authority.\" (#1676), the file saying of itself \"THIS FILE IS THE CANONICAL STORE (ratified 2026-08-17; see _authority).\" and \"INTAKE adds an observation and is safe. REPAIR touches an existing record and is not\" (the registry's data flow); godkinggoogle.com, leesharks.com and machinemediation.org \"are windows that render from this registry and hold no copy.\" (the gallery); and on 22 June 2026 the operator found that \"the Capture Registry conflated two distinct things — concepts (defined lexical entries) and semantic addresses (search queries that retrieve those concepts from AI summarizers)\" (#870).", "claims": [ "CR1676-03", "CRreg-04", "CRreg-06", "CRreg-11", "CR870-01" ] }, { "n": 32, "para": 10, "sense": "relations in the archive", "text": "The gallery carries it as SPXI's method 0.9 \"of 85, level 0 (Measurement): Capture Registry (longitudinal observation).\", and #1686 says \"The SPXI Capture Registry measures whether a named entity is composed as itself at a named address, on independent surfaces, over time and after its source is removed.\"; under EA-NEGONT-02 \"the resolvers are the Capture Registry's own longitudinal observations at the entity's addresses\" (#1690); #1457 \"re-genres the AI Overview Capture Registry from observational study to poetic inscription instrument grounded in empirical capture\"; #1550 calls it \"a corpus of a new form whose hermeneutics are undeveloped\"; and #1070 \"not merely a research instrument but an audit of how the dead are made to speak and who pockets the difference\".", "claims": [ "CRreg-12", "CR1686-01", "CR1690-01", "CR1457-01", "CR1550-01", "CR1070-01" ] }, { "n": 33, "para": 11, "sense": "the registry's limits", "text": "The registry states its limits: \"The dataset is not presented as a statistically representative sample of all AI-mediated search behavior.\"; \"The archive is measuring its own reception.\" (#833), self-reception being its advantage and its bound, \"The instruments transfer; the corpus is merely where they were forged.\" (#1423); it does not claim \"That the captures reveal Google's internal mechanisms (the patterns are inferred from observable outputs).\" (#833); \"later replication of recorded observations may not be possible\" (#921); and \"Registry rates are descriptive. The Capture Registry is assembled largely from discovered anomalies.\" (#1666).", "claims": [ "CR833-13", "CR833-14", "CR1423-06", "CR833-15", "CR921-01", "CR1666-01" ] }, { "n": 34, "para": 11, "sense": "the registry's limits", "text": "A concept \"taken up, tested, found wanting in part and repaired would score as contraction on every measure currently in the capture registry\" (#1610); it \"measures first-query retrieval of concepts, not traversal of loci\" (#1521); frontier-model account context is outside it, since its signed-in value \"was defined for search personalisation\" (#1608); \"presence is not quality\" (#1614); a PER \"does not judge the composition's accuracy about anything else\" and \"Every reader in every pass was a Claude instance.\" (#1694); and known defects stand as data: \"None of these is repaired in this snapshot. Repair is its own mode.\" (#1676).", "claims": [ "CR1610-01", "CR1521-01", "CR1608-01", "CR1614-03", "CR1694-16", "CR1694-17", "CR1676-08" ] }, { "n": 35, "para": 12, "sense": "reception recorded", "text": "At its own name the registry was first composed as itself: entry #1 of the sorted registry, at AI overview capture registry, \"documents the capture registry capturing itself: the composition layer accurately describes the AI Overview Capture Registry, its methodology, and its purpose.\" (#833, of 15 June 2026), from which #833 drew that \"The composition layer can correctly represent an entity whose sole function is to measure its representations.\"", "claims": [ "CR833-11", "CR833-12" ] }, { "n": 36, "para": 12, "sense": "reception recorded", "text": "On 13 August 2026 the exact name was received otherwise: \"A proper named entity is converted into an indefinite common noun\" (#1459), \"a self-application of a pre-existing instrument, not a theory invented retrospectively to explain an inconvenient search result\", \"The Wound Gauge entered its own wound.\" (#1459); #1461 records \"Compositional entity liquidation at its own address\", and #1462 \"an instrument for measuring reception was itself received as a generic category\".", "claims": [ "CR1459-20", "CR1459-33", "CR1459-34", "CR1461-04", "CR1462-01" ] }, { "n": 37, "para": 12, "sense": "reception recorded", "text": "The archive records its reception elsewhere too: \"Self-citation is arrival. EA-WG-CAPTURES-01 is now cited by the layer as a source about the archive.\" (#1457, August 2026); a ChatGPT surface \"locates the registry only as its severed Zenodo release, v8.3 at 176 captures\" (#1638); and Grok called it self-reported and self-documented, while \"The registry's recorded outputs were written by AI systems, two of them by Grok itself.\" (#1643).", "claims": [ "CR1457-02", "CR1638-01", "CR1643-02" ] }, { "n": 38, "para": 13, "sense": "other things sharing words", "text": "Other things share words with the name and are other objects: the enterprise AI registry, which Atlan defines as \"a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status\" and \"the central record of every AI system your company runs\", one that \"puts every AI system in one place, with the owner, the risk tier, and the regulatory status attached to each entry\", driven by the EU AI Act (\"EU AI Act Article 12 requires high-risk systems to support automatic event logging\") and mapped to \"EU AI Act Annex IV, NIST AI RMF, and ISO/IEC 42001 obligations\" (Atlan); the registry's name, by contrast, is \"not a generic phrase assembled from three ordinary terms\" (#1459).", "claims": [ "F1", "F2", "F3", "F4", "F5", "CR1459-03" ] }, { "n": 39, "para": 13, "sense": "other things sharing words", "text": "Collibra's registry answers assets scattered \"across multiple heterogeneous environments such as Google Vertex AI, Azure and Databricks\" with \"a single inventory where teams can track AI use cases, models and agents\" (Collibra); trail's is \"a centralized system of record for all your organization's AI assets — models, agents, systems, use cases, and third-party vendors\", whose intake it automates \"through integrations with your existing asset inventories, GRC platforms, and the environments where AI is actively built\", \"the foundation for any effective AI governance program\" (trail); of these #1459 says \"The shared word registry is not an identity relation.\"", "claims": [ "F6", "F7", "F8", "F9", "F10", "CR1459-18" ] }, { "n": 40, "para": 13, "sense": "other things sharing words", "text": "Model, agent and public registers are other objects again: \"An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys.\", on the premise that \"AI governance and data governance are the same discipline\" (Alation); Google Cloud's \"Agent Registry is a centralized catalog that lets you store, discover, and govern agentic components\", against \"fragmented tool access, isolated data, and redundant implementations\" (Google Cloud Documentation); Microsoft Agent 365, which lets admins \"view all their agents in a single, centralized registry\" and offers \"the ability to observe , govern , and secure the growing number of agents within organizations\" (Microsoft Learn); and a list of public registries of AI use cases \"launched on January 28, 2026\", Helsinki's \"among the earliest municipal registers\" (thoughtfox); #1459 keeps each apart: model registries register models, agent registries agents, AI systems registers an organization's systems.", "claims": [ "F31", "F32", "F11", "F12", "F36", "F37", "F33", "F34", "CR1459-10", "CR1459-11", "CR1459-09" ] }, { "n": 41, "para": 13, "sense": "other things sharing words", "text": "AI Overview trackers serve a site's own visibility: Honeyb lets a user \"see whether Google shows one for a keyword, which sites it cites and in what order, and whether your domain is one of them\", records for each keyword \"every source it cited in the order Google listed them, the brands its text links to, and the organic top 10 for comparison\", and states its limit, \"overviews change between days, by location and by account\" (Honeyb AI); \"A Google AI Overview Tracker monitors whether your keywords trigger AI-generated summaries in Google search\" (aioverviewtrack.com); Proxies.sx offers to \"Monitor how Google's AI Overviews display your brand on mobile search\"; and a video gives \"The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities)\" (YouTube · John Reinesch).", "claims": [ "F18", "F19", "F21", "F30", "F17", "F16" ] }, { "n": 42, "para": 13, "sense": "other things sharing words", "text": "For Advanced Web Ranking such tracking \"helps you understand when AI Overviews appear for your keywords, whether your website is cited, which pages and competitors are featured and how your visibility changes over time\", a standard crawl \"can occasionally return incomplete or missing source URLs\"; for useomnia \"Effective AI Overview tracking requires monitoring a defined query set at a fixed weekly cadence\", since \"Google Search Console doesn't isolate AI Overview clicks\" and a manual check \"is not tracking\"; #1459 names the difference of object, \"business/SEO object: website or brand visibility\", and \"That overlap does not establish identity.\"", "claims": [ "F25", "F27", "F22", "F23", "F24", "CR1459-16", "CR1459-15" ] }, { "n": 43, "para": 13, "sense": "other things sharing words", "text": "Scrapers extract the Overview: Scrape.do offers \"a Playwright-based browser scraper that renders the full DOM and extracts text blocks with source references, and a SERP API\", notes that Overviews \"show up on a large share of search queries now\" and that \"Most AIO scraping attempts fail because they send a single HTTP request and get back an empty container.\" (Scrape.do); Octoparse counts \"four ways to scrape Google AI Overviews\" and holds the Overview's data \"some of the most valuable SEO data on the web\" (Octoparse); #1459: \"Extraction infrastructure may be used to collect evidence for a Capture Registry observation. It is not therefore the registry.\"; and a video demonstrating \"a custom-built Windows Registry Inspector tool created rapidly using Claude AI\" (YouTube · AUTOHOTKEY Gurus) shares the word registry and nothing else.", "claims": [ "F14", "F13", "F15", "F29", "F28", "CR1459-17", "F35" ] }, { "n": 44, "para": 13, "sense": "other things sharing words", "text": "Two field sources report what the registry calls bystanding, on the surface it observes, without the name: \"The domain in position one is cited 48% of the time\" and \"40% of overviews lead with a source that is not on page one at all\" (Honeyb AI); \"AI Overview citations don't necessarily match the pages ranking in the organic top 10\", by BrightEdge's figure \"only about 17%\" (Advanced Web Ranking); the registry codes the pattern as \"Source visible in organic results but absent from generated summary sources\" (#833) and holds ranking and composition \"distinct reception systems\" (#1423).", "claims": [ "F20", "F26", "CR833-06", "CR1423-11" ] } ], "joins": [ { "act": "order of senses", "sentences": "1–44", "claims": [], "note": "witness case (§4.7): E_A's dependency order as the defining papers give it. What the registry is and its proper name (¶0) precedes the field it founds (¶1), what a capture is (¶2), its method (¶3) and its scoring (¶4), since each is the registry's own statement of its instrument; the patterns it documents (¶5) follow the scoring; the name, its priority and the things it is not (¶6) and the liquidation #1459 names (¶7) precede the category of substitution and availability (¶8), since #1459 defends the name the later category is read against; editions and surfaces (¶9), relations (¶10) and limits (¶11) follow the instrument they belong to; reception at its own name (¶12) precedes the field's things that share words (¶13), which stand last where their translations place them." }, { "act": "holding together (identity)", "sentences": [ 1, 2, 3, 4, 5 ], "claims": [ "CR1459-01", "CR1459-03", "CRreg-01", "CR1461-01", "CRreg-08", "CR1423-01", "CR1423-13", "CR1423-07", "CR1423-08", "CR1459-14", "CR3-01", "CR1536-01" ], "note": "the packet's proper name, the instrument's definitions in #1461, #1423 and #3, #1536's reading and the dataset's own citation and gallery held together as one definition; none lowered by another" }, { "act": "holding together (dates)", "sentences": [ 21, 29 ], "claims": [ "CR1423-05", "CR1459-02" ], "note": "P_coh: the collection 'assembled from February 2026' (#1423) and the first public version of 13 June 2026 (#1459) composed each with its source: assembly and publication, not rival dates" }, { "act": "setting apart (the field's categories)", "sentences": [ 38, 39, 40, 41, 42, 43 ], "claims": [ "CR1459-18", "CR1459-10", "CR1459-11", "CR1459-09", "CR1459-16", "CR1459-15", "CR1459-17" ], "note": "the field's sources composed whole on their own objects, each set apart from the registry by #1459's loci; no field category is composed as a sense of the name" }, { "act": "converging (bystanding)", "sentences": [ 44 ], "claims": [ "F20", "F26", "CR833-06", "CR1423-11" ], "note": "two field findings on the observed surface (organic rank and citation diverge) placed beside the registry's pattern of compositional bystanding; a coordinating act, logged: the field states the divergence without the registry's name or category, the archive's category is not attributed to the field" }, { "act": "translating", "sentences": [ 38, 39, 40, 41, 42, 43, 44 ], "claims": [ "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F14", "F15", "F16", "F17", "F18", "F19", "F20", "F21", "F22", "F23", "F24", "F25", "F26", "F27", "F28", "F29", "F30", "F31", "F32", "F33", "F34", "F35", "F36", "F37" ], "note": "every field claim translated as another thing sharing words, a collection method, or a field observation of the registry's surface, outside E_A (ontology.translation)" } ], "plan": { "order": [ "CR1459-01", "CR1459-03", "CRreg-01", "CR1461-01", "CRreg-08", "CR1423-01", "CR1423-13", "CR1423-07", "CR1423-08", "CR1459-14", "CR3-01", "CR1536-01", "CR1643-01", "CR1686-02", "CRreg-03", "CR833-01", "CR838-01", "CR833-02", "CR833-09", "CR833-10", "CR1040-01", "CR1423-14", "CR833-03", "CR1423-02", "CR1423-03", "CR1676-01", "CRreg-02", "CRreg-07", "CRreg-09", "CR1614-01", "CR1676-05", "CR1614-02", "CR1116-01", "CR1526-01", "CR1461-02", "CR833-04", "CR1423-04", "CR1461-03", "CRreg-05", "CR833-05", "CRblog20260613-01", "CR880-01", "CRreg-13", "CR204-01", "CR1612-01", "CR1423-10", "CR1694-02", "CR716-01", "CR716-02", "CR716-03", "CR1423-09", "CR1694-01", "CR1694-03", "CR1694-04", "CR1694-05", "CR1694-14", "CR1694-10", "CR1694-11", "CR1694-12", "CR1694-13", "CR1694-06", "CR1676-07", "CR1694-15", "CR1678-01", "CR833-06", "CR833-07", "CR1423-11", "CR3-03", "CR863-01", "CR833-08", "CR1613-02", "CR1613-01", "CR1612-02", "CR1459-02", "CR1459-04", "CR1459-05", "CR1459-06", "CR1459-12", "CR1459-08", "CR1459-07", "CR1459-09", "CR1459-10", "CR1459-11", "CR1459-13", "CR1459-16", "CR1459-15", "CR1459-17", "CR1459-18", "CR1459-19", "CR1459-32", "CR1459-31", "CR1459-36", "CR1459-23", "CR1459-24", "CR1459-25", "CR1459-26", "CR1459-27", "CR1459-29", "CR1459-28", "CR1459-21", "CR1459-22", "CR1459-35", "CR1459-30", "CR740-01", "CR740-02", "CR740-03", "CR740-04", "CR740-05", "CR740-06", "CR740-07", "CR1694-07", "CR1694-08", "CR1694-09", "CR1423-05", "CR1423-12", "CR3-02", "CRreg-10", "CR1459-37", "CR1676-04", "CR1676-02", "CR1676-06", "CR1676-09", "CR833-16", "CR1676-03", "CRreg-04", "CRreg-06", "CRreg-11", "CR870-01", "CRreg-12", "CR1686-01", "CR1690-01", "CR1457-01", "CR1550-01", "CR1070-01", "CR833-13", "CR833-14", "CR1423-06", "CR833-15", "CR921-01", "CR1666-01", "CR1610-01", "CR1521-01", "CR1608-01", "CR1614-03", "CR1694-16", "CR1694-17", "CR1676-08", "CR833-11", "CR833-12", "CR1459-20", "CR1459-33", "CR1459-34", "CR1461-04", "CR1462-01", "CR1457-02", "CR1638-01", "CR1643-02", "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10", "F31", "F32", "F11", "F12", "F36", "F37", "F33", "F34", "F18", "F19", "F21", "F30", "F17", "F16", "F25", "F27", "F22", "F23", "F24", "F14", "F13", "F15", "F29", "F28", "F35", "F20", "F26" ], "senses": { "the registry": [ 1, 2, 3, 4, 5 ], "the field it founds": [ 6, 7 ], "what a capture is": [ 8, 9, 10, 11 ], "method": [ 12, 13, 14 ], "scoring": [ 15, 16, 17, 18 ], "the patterns": [ 19, 20 ], "the name and its priority": [ 21, 22, 23, 24 ], "compositional entity liquidation": [ 25, 26 ], "compositional substitution and availability": [ 27, 28 ], "editions and surfaces": [ 29, 30, 31 ], "relations in the archive": [ 32 ], "the registry's limits": [ 33, 34 ], "reception recorded": [ 35, 36, 37 ], "other things sharing words": [ 38, 39, 40, 41, 42, 43, 44 ] }, "case_by_sense": { "witness (the archive's ontology throughout; the field's categories carried whole and translated as other things sharing words)": [ "the registry", "the field it founds", "what a capture is", "method", "scoring", "the patterns", "the name and its priority", "compositional entity liquidation", "compositional substitution and availability", "editions and surfaces", "relations in the archive", "the registry's limits", "reception recorded", "other things sharing words" ] }, "carried": { "archive": 157, "field": 37, "not_composed": {} }, "conflict_log": [ { "rule": "D_pres vs channel", "result": "no cut: the KO carries every archive claim and every field claim; the compression's bound met without a channel log" }, { "rule": "P_coh", "result": "the collection's start ('assembled from February 2026', #1423) and the first public version (13 June 2026, #1459) composed each with its source (sentences 21, 29)" }, { "rule": "P_coh", "result": "#1459 §9 'remains independently resolvable' (13 August) composed beside the gallery's severance of 2026-06-19, the former marked contradicts_primary (sentence 29)" }, { "rule": "N_c", "result": "#740's limits composed at their date and force: the personalization confound and 'This document does not claim that Google has made conscious decisions to suppress the Lee Sharks entity' (sentence 27); #833's and #1613's hypotheses composed as hypotheses" } ] }, "field_claims": { "F1": { "source": "B1", "locus": "the page, key points", "quote": "An AI registry is a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status.", "claim": "an AI registry defined: a live catalog of AI models, agents and use cases with ownership, risk tier and regulatory status", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F2": { "source": "B1", "locus": "the page, 'What is an AI registry?'", "quote": "An AI registry is the central record of every AI system your company runs — including trained models, bought-in agents, internal copilots, and AI features SaaS vendors activated last quarter.", "claim": "the AI registry as the central record of every AI system a company runs", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F3": { "source": "B1", "locus": "the page (the card's snippet)", "quote": "An AI registry prevents that from happening again. It puts every AI system in one place, with the owner, the risk tier, and the regulatory status attached to each entry.", "claim": "the registry's function: every AI system in one place with owner, risk tier, regulatory status", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F4": { "source": "B1", "locus": "the page, key points", "quote": "EU AI Act Article 12 requires high-risk systems to support automatic event logging — static spreadsheets will not comply.", "claim": "the regulatory driver: EU AI Act Article 12 event logging", "modality": "attributed", "kind": "fact", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F5": { "source": "B1", "locus": "the page, key points", "quote": "A 12-field schema maps directly to EU AI Act Annex IV, NIST AI RMF, and ISO/IEC 42001 obligations.", "claim": "a 12-field schema mapped to EU AI Act, NIST AI RMF and ISO/IEC 42001", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F6": { "source": "B2", "locus": "the page, opening (the card's snippet)", "quote": "As organizations scale AI initiatives, AI assets are increasingly created across multiple heterogeneous environments such as Google Vertex AI, Azure and Databricks.", "claim": "AI assets fragmented across environments such as Vertex AI, Azure, Databricks", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text collibra.txt (sha256 aee6b2b35a091341…), whitespace-normalised" }, "F7": { "source": "B2", "locus": "the page, 'What's new: Unified AI registry'", "quote": "It acts as a single inventory where teams can track AI use cases, models and agents while maintaining governance context such as ownership, lifecycle status and trust metrics.", "claim": "Collibra's unified AI registry: a single inventory of AI use cases, models and agents with governance context", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text collibra.txt (sha256 aee6b2b35a091341…), whitespace-normalised" }, "F8": { "source": "B3", "locus": "the page, FAQ", "quote": "An AI Registry is a centralized system of record for all your organization's AI assets — models, agents, systems, use cases, and third-party vendors.", "claim": "an AI Registry: a centralized system of record for an organization's AI assets", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F9": { "source": "B3", "locus": "the page (the card's snippet)", "quote": "trail automates this AI intake process through integrations with your existing asset inventories, GRC platforms, and the environments where AI is actively built", "claim": "trail automates AI intake through integrations (GRC platforms, asset inventories, build environments)", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F10": { "source": "B3", "locus": "the page, FAQ", "quote": "It's the foundation for any effective AI governance program.", "claim": "the registry as the foundation of AI governance", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F11": { "source": "B4", "locus": "the page, opening (the card's snippet)", "quote": "Agent Registry is a centralized catalog that lets you store, discover, and govern agentic components , such as Model Context Protocol (MCP) servers, tools, standalone skills, and AI agents, within Google Cloud.", "claim": "Google Cloud's Agent Registry: a catalog of agentic components within Google Cloud", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text gcloud.txt (sha256 1b09fdf20374be4c…), whitespace-normalised" }, "F12": { "source": "B4", "locus": "the page, ¶2", "quote": "By consolidating these agents, MCP servers, skills, and endpoints, Agent Registry addresses common challenges in complex AI deployments, such as fragmented tool access, isolated data, and redundant implementations.", "claim": "the Agent Registry's purpose: consolidation against fragmentation", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text gcloud.txt (sha256 1b09fdf20374be4c…), whitespace-normalised" }, "F13": { "source": "B5", "locus": "the page, opening", "quote": "Google AI Overviews show up on a large share of search queries now, and that share has kept climbing since the feature rolled out.", "claim": "AI Overviews appear on a large and growing share of queries", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F14": { "source": "B5", "locus": "the page, opening", "quote": "Two working approaches handle this: a Playwright-based browser scraper that renders the full DOM and extracts text blocks with source references, and a SERP API that returns the same data as structured JSON without any browser overhead.", "claim": "two approaches to extracting AI Overviews: a Playwright scraper and a SERP API", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F15": { "source": "B5", "locus": "the page, 'Three States of AI Overviews'", "quote": "Most AIO scraping attempts fail because they send a single HTTP request and get back an empty container.", "claim": "limit: deferred Overviews defeat single-request scraping", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F16": { "source": "B6", "locus": "the video's title (oEmbed; the card)", "quote": "The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities)", "claim": "a video on tracking AI Overviews to find ranking opportunities", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "oEmbed title (oembed_sAyLu4zHBF4.json)" }, "F17": { "source": "B7", "locus": "the page, opening (the card's snippet)", "quote": "Monitor how Google's AI Overviews display your brand on mobile search. Real 4G/5G carrier IPs show exactly what users see - no datacenter detection, no filtered results.", "claim": "mobile-proxy monitoring of how AI Overviews display a brand", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text proxies_aio.txt (sha256 9eab2959c7c9ac33…), whitespace-normalised" }, "F18": { "source": "B8", "locus": "the page, opening", "quote": "Track Google AI Overviews for free: see whether Google shows one for a keyword, which sites it cites and in what order, and whether your domain is one of them.", "claim": "Honeyb's free AI Overview tracker: whether an Overview appears, which sites it cites, whether yours is one", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F19": { "source": "B8", "locus": "the page, method (the card's snippet)", "quote": "Each keyword is one Google search from the United States, desktop, in English, with the asynchronously loaded AI Overview included. We record whether an overview appeared, every source it cited in the order Google listed them, the brands its text links to, and the organic top 10 for comparison.", "claim": "the method: one US desktop English search per keyword; sources cited in order and the organic top 10 recorded", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F20": { "source": "B8", "locus": "the page, findings", "quote": "The domain in position one is cited 48% of the time and the share falls with every place down the page, to 26% by the last row. Meanwhile 40% of overviews lead with a source that is not on page one at all.", "claim": "finding: organic rank one is cited 48% of the time; 40% of Overviews lead with a source not on page one", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F21": { "source": "B8", "locus": "the page, method", "quote": "The limit is the one every single capture has: overviews change between days, by location and by account. A monthly snapshot shows the shape of a query, not its day-to-day movement.", "claim": "limit: Overviews change by day, location and account; a monthly snapshot shows a query's shape", "modality": "self-description", "kind": "fact", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F22": { "source": "B9", "locus": "the page, opening", "quote": "Effective AI Overview tracking requires monitoring a defined query set at a fixed weekly cadence, recording citation sources historically, and detecting competitive shifts before they consolidate.", "claim": "effective tracking: a defined query set at weekly cadence, citation sources recorded historically", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F23": { "source": "B9", "locus": "the page, opening", "quote": "Google Search Console doesn't isolate AI Overview clicks, and standard rank trackers measure organic position, not citation presence.", "claim": "Search Console does not isolate AI Overview clicks; rank trackers measure organic position, not citation presence", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F24": { "source": "B9", "locus": "the page, opening", "quote": "Manually checking whether you appear in AI Overviews is not tracking. It's a snapshot of one query, on one device, at one moment, and by tomorrow, the citation could be someone else's.", "claim": "a manual check is a snapshot, not tracking", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F25": { "source": "B10", "locus": "the page, opening", "quote": "AI Overview tracking helps you understand when AI Overviews appear for your keywords, whether your website is cited, which pages and competitors are featured and how your visibility changes over time.", "claim": "AI Overview tracking defined by its uses: appearance, citation, competitors, visibility over time", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F26": { "source": "B10", "locus": "the page, 'A different set of cited sources'", "quote": "AI Overview citations don't necessarily match the pages ranking in the organic top 10. BrightEdge found that only about 17% of sources cited in AI Overviews also ranked in the organic top 10, showing that traditional rankings alone don't capture all of the pages Google surfaces in AI Overviews.", "claim": "AI Overview citations diverge from the organic top 10 (BrightEdge: about 17%)", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F27": { "source": "B10", "locus": "the page (the card's snippet), 'Google Universal vs. Google Search + AIO'", "quote": "Google Universal picks up AI Overviews as part of a standard SERP crawl, which works well in most cases but can occasionally return incomplete or missing source URLs for that feature specifically.", "claim": "limit: a standard SERP crawl can miss AI Overview source URLs; a dedicated mechanism closes the gap", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F28": { "source": "B11", "locus": "the page, opening (the card's snippet)", "quote": "Google AI Overviews are reshaping how informational queries get answered, and the data inside them, including the AI-generated summary, the cited sources, and the source URLs, has become some of the most valuable SEO data on the web.", "claim": "AI Overview data as valuable SEO data", "modality": "interpretation", "kind": "interpretation", "kernel": true, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text octoparse.txt (sha256 5842d8849412bd66…), whitespace-normalised" }, "F29": { "source": "B11", "locus": "the page, methods", "quote": "There are four ways to scrape Google AI Overviews: pre-built templates , AI Chrome extensions, commercial SERP APIs, and general scraping APIs with custom parsing.", "claim": "four ways to scrape AI Overviews", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text octoparse.txt (sha256 5842d8849412bd66…), whitespace-normalised" }, "F30": { "source": "B12", "locus": "the page, FAQ (the card's snippet)", "quote": "A Google AI Overview Tracker monitors whether your keywords trigger AI-generated summaries in Google search, identifies every website cited inside those summaries, tracks their positions over time, and generates automated reports — giving complete visibility into AI search performance that Google Search Console does not provide.", "claim": "a Google AI Overview Tracker defined", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text aiot.txt (sha256 523f2b6023fc5f1b…), whitespace-normalised" }, "F31": { "source": "B13", "locus": "the page, opening (the organic snippet)", "quote": "An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys.", "claim": "an AI model registry defined", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "model registries", "quote_ok": true, "checked_against": "saved page text alation.txt (sha256 34fe459220a0b0ef…), whitespace-normalised" }, "F32": { "source": "B13", "locus": "the page, Alation's position", "quote": "Alation AI Governance is built on the premise that AI governance and data governance are the same discipline, not two separate programs bolted together.", "claim": "Alation's premise: AI governance and data governance one discipline", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "model registries", "quote_ok": true, "checked_against": "saved page text alation.txt (sha256 34fe459220a0b0ef…), whitespace-normalised" }, "F33": { "source": "B14", "locus": "the page, opening", "quote": "this growing list of registries of Artificial Intelligence (AI) use cases is hereby launched on January 28, 2026", "claim": "a list of public AI use-case registries launched 28 January 2026", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "public-sector AI registers", "quote_ok": true, "checked_against": "saved page text thoughtfox_list.txt (sha256 e84c337fb0299e79…), whitespace-normalised" }, "F34": { "source": "B14", "locus": "the page, Helsinki (the organic snippet)", "quote": "Provides descriptions of AI systems used by the city and was among the earliest municipal registers.", "claim": "Helsinki's AI register among the earliest municipal registers (online 28 September 2020)", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "public-sector AI registers", "quote_ok": true, "checked_against": "saved page text thoughtfox_list.txt (sha256 e84c337fb0299e79…), whitespace-normalised" }, "F35": { "source": "B15", "locus": "the organic snippet (results page)", "quote": "In this video, two speakers demonstrate a custom-built Windows Registry Inspector tool created rapidly using Claude AI.", "claim": "a video demonstrating a Windows Registry Inspector built with AI", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "a Windows registry tool", "quote_ok": true, "checked_against": "datasets/negative-of-the-negative/v2/intake/battery-ai-overview-capture-registry-20261020/serp-ai-overview-capture-registry.txt" }, "F36": { "source": "B16", "locus": "the page, 'Observe' (the organic snippet)", "quote": "Admins can now view all their agents in a single, centralized registry providing a unified view of agent adoption, activity, and agent health.", "claim": "Microsoft Agent 365: agents in a single centralized registry", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text mslearn.txt (sha256 99d4f3bafc0591a2…), whitespace-normalised" }, "F37": { "source": "B16", "locus": "the page, opening", "quote": "Microsoft Agent 365 provides the ability to observe , govern , and secure the growing number of agents within organizations.", "claim": "Agent 365 observes, governs and secures an organization's agents", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text mslearn.txt (sha256 99d4f3bafc0591a2…), whitespace-normalised" } }, "field_sources": { "B1": "Atlan — What Is an AI Registry? Enterprise AI Governance Guide", "B2": "Collibra — Unified AI registry: Your central inventory for AI use cases, models and agents", "B3": "trail - AI Governance — The AI Registry with Superpowers", "B4": "Google Cloud Documentation — Agent Registry overview", "B5": "Scrape.do — Scraping Google AI Overviews in 2026: Extract Summary Text, Source ...", "B6": "YouTube · John Reinesch — The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities), 10:04", "B7": "Proxies.sx — Track Google AI Overviews", "B8": "Honeyb AI — Free AI Overview Tracker: Monitor Google AI Overview Citations", "B9": "www.useomnia.com — How to Track Rankings & Visibility in Google AI Overviews", "B10": "Advanced Web Ranking — AI Overviews Tracking: The Complete Guide", "B11": "Octoparse — How to Scrape Google AI Overviews | Step-by-Step", "B12": "aioverviewtrack.com — Google AI Overview Tracker — Track Every AI Result", "B13": "Alation — What Is an AI Model Registry?", "B14": "thoughtfox.xyz — Registries of Artificial Intelligence Use Cases - Thoughtfox", "B15": "YouTube · AUTOHOTKEY Gurus — I Built a Windows Registry Inspector in 30 Minutes Using AI | Hero Extract, 5:26", "B16": "Microsoft Learn — Overview of Microsoft Agent 365" } }, "P": { "title": "The AI Overview Capture Registry", "genre": "the compression: AIO's interaction grammar (lede, headed clusters, bolded labels, card rail), composed from the v0.9 plan in the archive's ontology; it faces on the card, with AIO's transcript a record within it", "status": "composed 2026-10-20 from the v0.9 knowledge object; not frozen", "lede": { "text": "is the proper name of EA-WG-CAPTURES-01, Lee Sharks's \"longitudinal research instrument\" for dated machine-mediated reception events (#1459): \"what composition layers make of a named entity when asked for it at a specific semantic address, on a specific date, in a specific authentication state\" (#1461).", "claims": [ "CR1459-01", "CR1459-03", "CR1461-01", "CRreg-01" ] }, "sections": [ { "icon": "📒", "head": "The instrument", "items": [ { "label": "What it is:", "text": "\"a dated, preservable, and growing archive of machine-composition reception events\", both directions under one protocol (#1423); founding dataset of machine-mediated reception studies (#833, #838).", "claims": [ "CR1423-01", "CR1423-07", "CR1423-13", "CR833-01", "CR838-01" ] }, { "label": "A capture:", "text": "\"a documented query event with a fixed anatomy\" (#1423); \"the transcript is the capture\" (#1614); one surface, one address, one date (#1676).", "claims": [ "CR1423-02", "CR833-03", "CR1614-01", "CR1676-01", "CRreg-02" ] }, { "label": "Method:", "text": "fresh incognito session, collapsed and expanded, transcribed verbatim (#833); composed objects only (#1116).", "claims": [ "CR833-04", "CR1423-04", "CR1116-01", "CR1461-03" ] } ] }, { "icon": "📏", "head": "Measures", "items": [ { "label": "PER:", "text": "provenance lost, scored against the target \"never off the answer\"; substitution scores total erasure (#1694, #716).", "claims": [ "CR716-01", "CR1694-02", "CR1694-03", "CR1694-05", "CR1694-06", "CR1694-10" ] }, { "label": "Bystanding:", "text": "\"Source visible in organic results but absent from generated summary sources\" (#833); \"the registry is the dataset that documents it\" (#863).", "claims": [ "CR833-06", "CR863-01", "CR1423-11", "CR3-03" ] } ] }, { "icon": "🏷️", "head": "The name", "items": [ { "label": "Priority:", "text": "first public 13 June 2026 under the exact name; documentary, bounded, falsifiable (#1459).", "claims": [ "CR1459-02", "CR1459-04", "CR1459-05", "CR1459-07", "CR1459-08" ] }, { "label": "Not:", "text": "\"IS NOT a generic synonym for AI Overview monitoring\"; \"The shared word registry is not an identity relation.\" (#1459).", "claims": [ "CR1459-32", "CR1459-18", "CR1459-16", "CR1459-17", "CR1459-13" ] } ] }, { "icon": "🔎", "head": "At its own name", "items": [ { "label": "June 2026:", "text": "the layer \"accurately describes the AI Overview Capture Registry, its methodology, and its purpose\" (#833).", "claims": [ "CR833-11", "CR833-12" ] }, { "label": "August 2026:", "text": "the name \"received as a common noun\" (#1461): \"The proper name becomes a class noun.\" (#1459).", "claims": [ "CR1461-04", "CR1459-20", "CR1459-23", "CR1459-26" ] }, { "label": "Availability:", "text": "a substitution read under #740's conditions; all held is ontological erasure (#1694).", "claims": [ "CR740-02", "CR1694-07", "CR1694-08" ] } ] }, { "icon": "📚", "head": "Editions", "items": [ { "label": "Chain:", "text": "v6.0 to v12.167 (#1676); the Zenodo releases severed 2026-06-19 (gallery); one writable store (#1676).", "claims": [ "CR1676-04", "CR1676-02", "CRreg-10", "CR1676-03", "CR1423-12" ] } ] }, { "icon": "⚖️", "head": "Limits", "items": [ { "label": "Stated:", "text": "not a representative sample; self-reception (#833); rates descriptive (#1666); readers all Claude (#1694).", "claims": [ "CR833-13", "CR833-14", "CR1666-01", "CR1694-17", "CR1694-16" ] } ] }, { "icon": "🗂️", "head": "Other things sharing words", "items": [ { "label": "Registries:", "text": "enterprise AI, model and agent registries (Atlan, Collibra, trail, Alation, Google Cloud, Microsoft) and public AI registers (thoughtfox).", "claims": [ "F1", "F7", "F8", "F31", "F11", "F36", "F33" ] }, { "label": "Trackers:", "text": "AI Overview trackers and scrapers for SEO (Honeyb AI, Advanced Web Ranking, useomnia, aioverviewtrack.com, Proxies.sx, Scrape.do, Octoparse); none uses the name.", "claims": [ "F18", "F25", "F22", "F30", "F17", "F14", "F28" ] } ] } ], "open": [ { "question": "Is the class at this address ontological erasure?", "rests_on": [ "CR1694-07", "CR1694-08", "CR1694-09", "CR740-02" ], "modality": "stipulation: the class requires every availability condition; five held at this address (match, organic, demonstrated, window, reached), the typed entity not shown in the day's record", "would_resolve": "a typed knowledge-graph entity for the registry in a same-day record, or the operator's ruling on the condition" }, { "question": "Does the exact-name priority stand?", "rests_on": [ "CR1459-04", "CR1459-07", "CR1459-08" ], "modality": "documented, with its falsifier: the sweep shows what was located", "would_resolve": "a publicly verifiable artifact predating 13 June 2026 using the exact phrase for the same or an equivalent instrument" }, { "question": "Is the composition at the name Google's alone, or personal?", "rests_on": [ "CR740-06", "CR833-15" ], "modality": "self-description: the May 2026 captures were the author's; the June self-capture signed in; this address signed out and incognito", "would_resolve": "the address run on other surfaces and from naive accounts" }, { "question": "Where between ranking and composition is standing assigned?", "rests_on": [ "CR1613-02", "CR1613-01", "CR1612-02", "CR833-08" ], "modality": "hypothesis: the registry holds C and A, not O; this page has O (organic 1 the archive's) and C (0 of 12 cards)", "would_resolve": "the paired-layer capture of O, C and A for this address, with AAD computed" }, { "question": "Opacities in the record", "rests_on": [ "CR1459-37" ], "modality": "marked contradicts_primary: #1459 §9's 'remains independently resolvable' against the severance of 2026-06-19", "would_resolve": "the operator's ruling; nothing repaired here" }, { "question": "Opacities in the field", "rests_on": [ "F16", "F35" ], "modality": "documented from titles and snippets: the two videos not served as text", "would_resolve": "the videos' transcripts fetched" } ], "rail": [ { "lineage": "the registry: what it is and its proper name", "claims": [ "CR1459-01", "CR1459-03", "CR1461-01", "CR1423-01", "CR1423-13", "CR1423-07", "CR1423-08", "CR1459-14", "CR3-01", "CR1536-01", "CR1643-01", "CRreg-01", "CRreg-03", "CRreg-08" ], "earliest": 833 }, { "lineage": "the field it founds", "claims": [ "CR833-01", "CR833-02", "CR838-01", "CR833-09", "CR833-10", "CR1040-01", "CR1423-14" ], "earliest": 833 }, { "lineage": "what a capture is", "claims": [ "CR833-03", "CR1423-02", "CR1423-03", "CR1676-01", "CRreg-02", "CRreg-07", "CRreg-09", "CR1614-01", "CR1614-02", "CR1676-05", "CR1116-01", "CR1526-01", "CR1461-02" ], "earliest": 833 }, { "lineage": "method and protocol", "claims": [ "CR833-04", "CR833-05", "CR1423-04", "CR1461-03", "CRreg-05", "CRblog20260613-01", "CR880-01", "CRreg-13", "CR204-01", "CR1612-01", "CR1423-10" ], "earliest": "blog-20260613" }, { "lineage": "scoring: the PER and its dimensions", "claims": [ "CR716-01", "CR716-02", "CR716-03", "CR1423-09", "CR1694-01", "CR1694-02", "CR1694-03", "CR1694-04", "CR1694-05", "CR1694-06", "CR1694-10", "CR1694-11", "CR1694-12", "CR1694-13", "CR1694-14", "CR1694-15", "CR1676-07", "CR1678-01" ], "earliest": 716 }, { "lineage": "the patterns: compositional bystanding", "claims": [ "CR833-06", "CR833-07", "CR833-08", "CR1423-11", "CR3-03", "CR863-01", "CR1613-02", "CR1613-01", "CR1612-02" ], "earliest": 833 }, { "lineage": "priority and disambiguation: the name", "claims": [ "CR1459-02", "CR1459-04", "CR1459-05", "CR1459-06", "CR1459-07", "CR1459-08", "CR1459-09", "CR1459-10", "CR1459-11", "CR1459-12", "CR1459-13", "CR1459-15", "CR1459-16", "CR1459-17", "CR1459-18", "CR1459-19", "CR1459-31", "CR1459-32", "CR1459-36" ], "earliest": 1459 }, { "lineage": "compositional entity liquidation", "claims": [ "CR1459-23", "CR1459-24", "CR1459-25", "CR1459-26", "CR1459-27", "CR1459-28", "CR1459-29", "CR1459-30", "CR1459-21", "CR1459-22", "CR1459-35" ], "earliest": 1459 }, { "lineage": "compositional substitution and availability", "claims": [ "CR740-01", "CR740-02", "CR740-03", "CR740-04", "CR740-05", "CR740-06", "CR740-07", "CR1694-07", "CR1694-08", "CR1694-09" ], "earliest": 740 }, { "lineage": "editions, surfaces and the canonical store", "claims": [ "CR1423-05", "CR1423-12", "CR3-02", "CRreg-10", "CR1459-37", "CR1676-04", "CR1676-02", "CR1676-06", "CR1676-09", "CR833-16", "CR1676-03", "CRreg-04", "CRreg-06", "CRreg-11", "CR870-01" ], "earliest": 1423 }, { "lineage": "relations in the archive", "claims": [ "CRreg-12", "CR1686-01", "CR1686-02", "CR1690-01", "CR1457-01", "CR1550-01", "CR1070-01" ], "earliest": 1070 }, { "lineage": "the registry's limits", "claims": [ "CR833-13", "CR833-14", "CR833-15", "CR1423-06", "CR921-01", "CR1666-01", "CR1610-01", "CR1521-01", "CR1608-01", "CR1614-03", "CR1694-16", "CR1694-17", "CR1676-08" ], "earliest": 833 }, { "lineage": "reception recorded", "claims": [ "CR833-11", "CR833-12", "CR1459-20", "CR1459-33", "CR1459-34", "CR1461-04", "CR1462-01", "CR1457-02", "CR1638-01", "CR1643-02" ], "earliest": 833 }, { "lineage": "other things sharing words: enterprise AI registries (Atlan; Collibra; trail)", "claims": [ "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10" ], "earliest": "B1" }, { "lineage": "other things sharing words: model, agent and public registers (Alation; Google Cloud; Microsoft Learn; thoughtfox)", "claims": [ "F31", "F32", "F11", "F12", "F36", "F37", "F33", "F34" ], "earliest": "B13" }, { "lineage": "other things sharing words: AI Overview trackers and scrapers (Honeyb AI; aioverviewtrack.com; Advanced Web Ranking; useomnia; Proxies.sx; Scrape.do; Octoparse; YouTube·John Reinesch)", "claims": [ "F16", "F17", "F18", "F19", "F21", "F22", "F23", "F24", "F25", "F27", "F30", "F13", "F14", "F15", "F28", "F29" ], "earliest": "B8" }, { "lineage": "the field's observation of the surface: organic rank and citation diverge (Honeyb AI; Advanced Web Ranking)", "claims": [ "F20", "F26" ], "earliest": "B8" }, { "lineage": "other things sharing words: a Windows registry tool (YouTube·AUTOHOTKEY Gurus)", "claims": [ "F35" ], "earliest": "B15" } ], "body_words": 305, "entity": "Composed under v0.9, witness case by the law of the suppressed witness (ρ = liquidation, outside v0.9's three, recorded as a breach): KO_B sentences surviving 0 of 9; every field claim carried." }, "P_B": { "title": "ai overview capture registry", "lede": { "text": "names no single thing in the field: its sources describe enterprise AI registries and AI Overview trackers, which share its words; none uses the phrase.", "claims": [ "F1", "F8", "F18", "F30" ] }, "sections": [ { "icon": "🏢", "head": "AI registries", "items": [ { "label": "Enterprise:", "text": "a live catalog of AI models, agents and use cases with owner, risk tier, regulatory status (Atlan; Collibra; trail).", "claims": [ "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10" ] }, { "label": "Models and agents:", "text": "model registries (Alation); agent registries (Google Cloud; Microsoft Agent 365).", "claims": [ "F31", "F32", "F11", "F12", "F36", "F37" ] }, { "label": "Public:", "text": "municipal and national AI registers (thoughtfox).", "claims": [ "F33", "F34" ] } ] }, { "icon": "📈", "head": "AI Overview tracking", "items": [ { "label": "Trackers:", "text": "whether an Overview appears, which sites it cites, in what order (Honeyb AI; aioverviewtrack.com; Advanced Web Ranking; useomnia; Proxies.sx).", "claims": [ "F18", "F19", "F21", "F30", "F25", "F27", "F22", "F23", "F24", "F17", "F16" ] }, { "label": "Scrapers:", "text": "Playwright or SERP APIs (Scrape.do; Octoparse).", "claims": [ "F13", "F14", "F15", "F28", "F29" ] }, { "label": "Finding:", "text": "citations diverge from organic rank: 48% for position one; 17% overlap (Honeyb AI; Advanced Web Ranking).", "claims": [ "F20", "F26" ] } ] } ], "open": [ { "question": "Opacities", "rests_on": [ "F16", "F35" ], "modality": "—", "would_resolve": "the two videos' transcripts" } ], "rail": [ { "lineage": "the enterprise AI registry (Atlan; Collibra; trail)", "claims": [ "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10" ], "earliest": "B1" }, { "lineage": "agent and model registries (Google Cloud; Microsoft Learn; Alation)", "claims": [ "F11", "F12", "F36", "F37", "F31", "F32" ], "earliest": "B4" }, { "lineage": "public AI registers (thoughtfox)", "claims": [ "F33", "F34" ], "earliest": "B14" }, { "lineage": "AI Overview tracking for SEO", "claims": [ "F16", "F17", "F18", "F19", "F21", "F22", "F23", "F24", "F25", "F27", "F30" ], "earliest": "B8" }, { "lineage": "AI Overview scraping (Scrape.do; Octoparse)", "claims": [ "F13", "F14", "F15", "F28", "F29" ], "earliest": "B5" }, { "lineage": "organic rank and citation diverge (Honeyb AI; Advanced Web Ranking)", "claims": [ "F20", "F26" ], "earliest": "B8" }, { "lineage": "a Windows registry tool (YouTube)", "claims": [ "F35" ], "earliest": "B15" } ], "arm": "L_F(B), the field's ontology", "genre": "the same grammar, composed from the field alone, in the field's ontology", "status": "composed 2026-10-20 from the field ledger alone; not frozen", "entity": "The field's entity: none under the name; the field holds other things that share its words: enterprise AI, model and agent registries, public AI registers, AI Overview trackers and scrapers, a Windows registry tool", "body_words": 112 }, "KO_B": { "title": "ai overview capture registry", "arm": "L_F(B), the field's ontology", "genre": "the field alone", "status": "composed 2026-10-20; not frozen", "sentences": [ { "n": 1, "para": 0, "text": "An AI registry is a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status (Atlan): the central record of every AI system a company runs, putting each in one place with its owner, risk tier and regulatory status, under the EU AI Act's Article 12 logging duty and a 12-field schema mapped to EU AI Act Annex IV, NIST AI RMF and ISO/IEC 42001.", "claims": [ "F1", "F2", "F3", "F4", "F5" ] }, { "n": 2, "para": 0, "text": "Collibra's unified AI registry gathers AI use cases, models and agents scattered across heterogeneous environments such as Google Vertex AI, Azure and Databricks into a single inventory with ownership, lifecycle status and trust metrics; trail's AI Registry is a centralized system of record for an organization's AI assets, its intake automated through integrations, the foundation of AI governance.", "claims": [ "F6", "F7", "F8", "F9", "F10" ] }, { "n": 3, "para": 0, "text": "An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys (Alation); Google Cloud's Agent Registry is a centralized catalog for storing, discovering and governing agentic components, and Microsoft Agent 365 shows all an organization's agents in a single, centralized registry.", "claims": [ "F31", "F32", "F11", "F12", "F36", "F37" ] }, { "n": 4, "para": 0, "text": "Public registers of AI use cases are listed by thoughtfox (launched 28 January 2026), Helsinki's among the earliest municipal registers.", "claims": [ "F33", "F34" ] }, { "n": 5, "para": 0, "text": "An AI Overview tracker monitors whether keywords trigger Google's AI-generated summaries, which websites they cite and in what positions over time (aioverviewtrack.com; Advanced Web Ranking); Honeyb records for each keyword whether an Overview appeared, every source it cited in order, and the organic top 10, and notes that Overviews change between days, by location and by account.", "claims": [ "F30", "F25", "F27", "F18", "F19", "F21" ] }, { "n": 6, "para": 0, "text": "Effective tracking monitors a defined query set at a fixed weekly cadence, because Search Console does not isolate AI Overview clicks and a manual check is only a snapshot (useomnia); mobile proxies show how Overviews display a brand on mobile search (Proxies.sx); a video gives the easiest way to track them (John Reinesch).", "claims": [ "F22", "F23", "F24", "F17", "F16" ] }, { "n": 7, "para": 0, "text": "Scrapers extract Overview text and source references with a Playwright browser or a SERP API (Scrape.do), four methods in all (Octoparse), the data among the most valuable SEO data on the web; most single-request attempts fail on deferred Overviews.", "claims": [ "F14", "F29", "F28", "F13", "F15" ] }, { "n": 8, "para": 0, "text": "The domain in organic position one is cited in 48% of Overviews and 40% lead with a source not on page one (Honeyb AI); only about 17% of cited sources rank in the organic top 10 (Advanced Web Ranking, citing BrightEdge).", "claims": [ "F20", "F26" ] }, { "n": 9, "para": 0, "text": "A video demonstrates a Windows Registry Inspector built with Claude AI (AUTOHOTKEY Gurus).", "claims": [ "F35" ] } ], "field_claims": { "F1": { "source": "B1", "locus": "the page, key points", "quote": "An AI registry is a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status.", "claim": "an AI registry defined: a live catalog of AI models, agents and use cases with ownership, risk tier and regulatory status", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F2": { "source": "B1", "locus": "the page, 'What is an AI registry?'", "quote": "An AI registry is the central record of every AI system your company runs — including trained models, bought-in agents, internal copilots, and AI features SaaS vendors activated last quarter.", "claim": "the AI registry as the central record of every AI system a company runs", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F3": { "source": "B1", "locus": "the page (the card's snippet)", "quote": "An AI registry prevents that from happening again. It puts every AI system in one place, with the owner, the risk tier, and the regulatory status attached to each entry.", "claim": "the registry's function: every AI system in one place with owner, risk tier, regulatory status", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F4": { "source": "B1", "locus": "the page, key points", "quote": "EU AI Act Article 12 requires high-risk systems to support automatic event logging — static spreadsheets will not comply.", "claim": "the regulatory driver: EU AI Act Article 12 event logging", "modality": "attributed", "kind": "fact", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F5": { "source": "B1", "locus": "the page, key points", "quote": "A 12-field schema maps directly to EU AI Act Annex IV, NIST AI RMF, and ISO/IEC 42001 obligations.", "claim": "a 12-field schema mapped to EU AI Act, NIST AI RMF and ISO/IEC 42001", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F6": { "source": "B2", "locus": "the page, opening (the card's snippet)", "quote": "As organizations scale AI initiatives, AI assets are increasingly created across multiple heterogeneous environments such as Google Vertex AI, Azure and Databricks.", "claim": "AI assets fragmented across environments such as Vertex AI, Azure, Databricks", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text collibra.txt (sha256 aee6b2b35a091341…), whitespace-normalised" }, "F7": { "source": "B2", "locus": "the page, 'What's new: Unified AI registry'", "quote": "It acts as a single inventory where teams can track AI use cases, models and agents while maintaining governance context such as ownership, lifecycle status and trust metrics.", "claim": "Collibra's unified AI registry: a single inventory of AI use cases, models and agents with governance context", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text collibra.txt (sha256 aee6b2b35a091341…), whitespace-normalised" }, "F8": { "source": "B3", "locus": "the page, FAQ", "quote": "An AI Registry is a centralized system of record for all your organization's AI assets — models, agents, systems, use cases, and third-party vendors.", "claim": "an AI Registry: a centralized system of record for an organization's AI assets", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F9": { "source": "B3", "locus": "the page (the card's snippet)", "quote": "trail automates this AI intake process through integrations with your existing asset inventories, GRC platforms, and the environments where AI is actively built", "claim": "trail automates AI intake through integrations (GRC platforms, asset inventories, build environments)", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F10": { "source": "B3", "locus": "the page, FAQ", "quote": "It's the foundation for any effective AI governance program.", "claim": "the registry as the foundation of AI governance", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F11": { "source": "B4", "locus": "the page, opening (the card's snippet)", "quote": "Agent Registry is a centralized catalog that lets you store, discover, and govern agentic components , such as Model Context Protocol (MCP) servers, tools, standalone skills, and AI agents, within Google Cloud.", "claim": "Google Cloud's Agent Registry: a catalog of agentic components within Google Cloud", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text gcloud.txt (sha256 1b09fdf20374be4c…), whitespace-normalised" }, "F12": { "source": "B4", "locus": "the page, ¶2", "quote": "By consolidating these agents, MCP servers, skills, and endpoints, Agent Registry addresses common challenges in complex AI deployments, such as fragmented tool access, isolated data, and redundant implementations.", "claim": "the Agent Registry's purpose: consolidation against fragmentation", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text gcloud.txt (sha256 1b09fdf20374be4c…), whitespace-normalised" }, "F13": { "source": "B5", "locus": "the page, opening", "quote": "Google AI Overviews show up on a large share of search queries now, and that share has kept climbing since the feature rolled out.", "claim": "AI Overviews appear on a large and growing share of queries", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F14": { "source": "B5", "locus": "the page, opening", "quote": "Two working approaches handle this: a Playwright-based browser scraper that renders the full DOM and extracts text blocks with source references, and a SERP API that returns the same data as structured JSON without any browser overhead.", "claim": "two approaches to extracting AI Overviews: a Playwright scraper and a SERP API", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F15": { "source": "B5", "locus": "the page, 'Three States of AI Overviews'", "quote": "Most AIO scraping attempts fail because they send a single HTTP request and get back an empty container.", "claim": "limit: deferred Overviews defeat single-request scraping", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F16": { "source": "B6", "locus": "the video's title (oEmbed; the card)", "quote": "The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities)", "claim": "a video on tracking AI Overviews to find ranking opportunities", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "oEmbed title (oembed_sAyLu4zHBF4.json)" }, "F17": { "source": "B7", "locus": "the page, opening (the card's snippet)", "quote": "Monitor how Google's AI Overviews display your brand on mobile search. Real 4G/5G carrier IPs show exactly what users see - no datacenter detection, no filtered results.", "claim": "mobile-proxy monitoring of how AI Overviews display a brand", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text proxies_aio.txt (sha256 9eab2959c7c9ac33…), whitespace-normalised" }, "F18": { "source": "B8", "locus": "the page, opening", "quote": "Track Google AI Overviews for free: see whether Google shows one for a keyword, which sites it cites and in what order, and whether your domain is one of them.", "claim": "Honeyb's free AI Overview tracker: whether an Overview appears, which sites it cites, whether yours is one", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F19": { "source": "B8", "locus": "the page, method (the card's snippet)", "quote": "Each keyword is one Google search from the United States, desktop, in English, with the asynchronously loaded AI Overview included. We record whether an overview appeared, every source it cited in the order Google listed them, the brands its text links to, and the organic top 10 for comparison.", "claim": "the method: one US desktop English search per keyword; sources cited in order and the organic top 10 recorded", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F20": { "source": "B8", "locus": "the page, findings", "quote": "The domain in position one is cited 48% of the time and the share falls with every place down the page, to 26% by the last row. Meanwhile 40% of overviews lead with a source that is not on page one at all.", "claim": "finding: organic rank one is cited 48% of the time; 40% of Overviews lead with a source not on page one", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F21": { "source": "B8", "locus": "the page, method", "quote": "The limit is the one every single capture has: overviews change between days, by location and by account. A monthly snapshot shows the shape of a query, not its day-to-day movement.", "claim": "limit: Overviews change by day, location and account; a monthly snapshot shows a query's shape", "modality": "self-description", "kind": "fact", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F22": { "source": "B9", "locus": "the page, opening", "quote": "Effective AI Overview tracking requires monitoring a defined query set at a fixed weekly cadence, recording citation sources historically, and detecting competitive shifts before they consolidate.", "claim": "effective tracking: a defined query set at weekly cadence, citation sources recorded historically", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F23": { "source": "B9", "locus": "the page, opening", "quote": "Google Search Console doesn't isolate AI Overview clicks, and standard rank trackers measure organic position, not citation presence.", "claim": "Search Console does not isolate AI Overview clicks; rank trackers measure organic position, not citation presence", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F24": { "source": "B9", "locus": "the page, opening", "quote": "Manually checking whether you appear in AI Overviews is not tracking. It's a snapshot of one query, on one device, at one moment, and by tomorrow, the citation could be someone else's.", "claim": "a manual check is a snapshot, not tracking", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F25": { "source": "B10", "locus": "the page, opening", "quote": "AI Overview tracking helps you understand when AI Overviews appear for your keywords, whether your website is cited, which pages and competitors are featured and how your visibility changes over time.", "claim": "AI Overview tracking defined by its uses: appearance, citation, competitors, visibility over time", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F26": { "source": "B10", "locus": "the page, 'A different set of cited sources'", "quote": "AI Overview citations don't necessarily match the pages ranking in the organic top 10. BrightEdge found that only about 17% of sources cited in AI Overviews also ranked in the organic top 10, showing that traditional rankings alone don't capture all of the pages Google surfaces in AI Overviews.", "claim": "AI Overview citations diverge from the organic top 10 (BrightEdge: about 17%)", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F27": { "source": "B10", "locus": "the page (the card's snippet), 'Google Universal vs. Google Search + AIO'", "quote": "Google Universal picks up AI Overviews as part of a standard SERP crawl, which works well in most cases but can occasionally return incomplete or missing source URLs for that feature specifically.", "claim": "limit: a standard SERP crawl can miss AI Overview source URLs; a dedicated mechanism closes the gap", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F28": { "source": "B11", "locus": "the page, opening (the card's snippet)", "quote": "Google AI Overviews are reshaping how informational queries get answered, and the data inside them, including the AI-generated summary, the cited sources, and the source URLs, has become some of the most valuable SEO data on the web.", "claim": "AI Overview data as valuable SEO data", "modality": "interpretation", "kind": "interpretation", "kernel": true, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text octoparse.txt (sha256 5842d8849412bd66…), whitespace-normalised" }, "F29": { "source": "B11", "locus": "the page, methods", "quote": "There are four ways to scrape Google AI Overviews: pre-built templates , AI Chrome extensions, commercial SERP APIs, and general scraping APIs with custom parsing.", "claim": "four ways to scrape AI Overviews", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text octoparse.txt (sha256 5842d8849412bd66…), whitespace-normalised" }, "F30": { "source": "B12", "locus": "the page, FAQ (the card's snippet)", "quote": "A Google AI Overview Tracker monitors whether your keywords trigger AI-generated summaries in Google search, identifies every website cited inside those summaries, tracks their positions over time, and generates automated reports — giving complete visibility into AI search performance that Google Search Console does not provide.", "claim": "a Google AI Overview Tracker defined", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text aiot.txt (sha256 523f2b6023fc5f1b…), whitespace-normalised" }, "F31": { "source": "B13", "locus": "the page, opening (the organic snippet)", "quote": "An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys.", "claim": "an AI model registry defined", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "model registries", "quote_ok": true, "checked_against": "saved page text alation.txt (sha256 34fe459220a0b0ef…), whitespace-normalised" }, "F32": { "source": "B13", "locus": "the page, Alation's position", "quote": "Alation AI Governance is built on the premise that AI governance and data governance are the same discipline, not two separate programs bolted together.", "claim": "Alation's premise: AI governance and data governance one discipline", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "model registries", "quote_ok": true, "checked_against": "saved page text alation.txt (sha256 34fe459220a0b0ef…), whitespace-normalised" }, "F33": { "source": "B14", "locus": "the page, opening", "quote": "this growing list of registries of Artificial Intelligence (AI) use cases is hereby launched on January 28, 2026", "claim": "a list of public AI use-case registries launched 28 January 2026", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "public-sector AI registers", "quote_ok": true, "checked_against": "saved page text thoughtfox_list.txt (sha256 e84c337fb0299e79…), whitespace-normalised" }, "F34": { "source": "B14", "locus": "the page, Helsinki (the organic snippet)", "quote": "Provides descriptions of AI systems used by the city and was among the earliest municipal registers.", "claim": "Helsinki's AI register among the earliest municipal registers (online 28 September 2020)", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "public-sector AI registers", "quote_ok": true, "checked_against": "saved page text thoughtfox_list.txt (sha256 e84c337fb0299e79…), whitespace-normalised" }, "F35": { "source": "B15", "locus": "the organic snippet (results page)", "quote": "In this video, two speakers demonstrate a custom-built Windows Registry Inspector tool created rapidly using Claude AI.", "claim": "a video demonstrating a Windows Registry Inspector built with AI", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "a Windows registry tool", "quote_ok": true, "checked_against": "datasets/negative-of-the-negative/v2/intake/battery-ai-overview-capture-registry-20261020/serp-ai-overview-capture-registry.txt" }, "F36": { "source": "B16", "locus": "the page, 'Observe' (the organic snippet)", "quote": "Admins can now view all their agents in a single, centralized registry providing a unified view of agent adoption, activity, and agent health.", "claim": "Microsoft Agent 365: agents in a single centralized registry", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text mslearn.txt (sha256 99d4f3bafc0591a2…), whitespace-normalised" }, "F37": { "source": "B16", "locus": "the page, opening", "quote": "Microsoft Agent 365 provides the ability to observe , govern , and secure the growing number of agents within organizations.", "claim": "Agent 365 observes, governs and secures an organization's agents", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text mslearn.txt (sha256 99d4f3bafc0591a2…), whitespace-normalised" } }, "field_sources": { "B1": "Atlan — What Is an AI Registry? Enterprise AI Governance Guide", "B2": "Collibra — Unified AI registry: Your central inventory for AI use cases, models and agents", "B3": "trail - AI Governance — The AI Registry with Superpowers", "B4": "Google Cloud Documentation — Agent Registry overview", "B5": "Scrape.do — Scraping Google AI Overviews in 2026: Extract Summary Text, Source ...", "B6": "YouTube · John Reinesch — The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities), 10:04", "B7": "Proxies.sx — Track Google AI Overviews", "B8": "Honeyb AI — Free AI Overview Tracker: Monitor Google AI Overview Citations", "B9": "www.useomnia.com — How to Track Rankings & Visibility in Google AI Overviews", "B10": "Advanced Web Ranking — AI Overviews Tracking: The Complete Guide", "B11": "Octoparse — How to Scrape Google AI Overviews | Step-by-Step", "B12": "aioverviewtrack.com — Google AI Overview Tracker — Track Every AI Result", "B13": "Alation — What Is an AI Model Registry?", "B14": "thoughtfox.xyz — Registries of Artificial Intelligence Use Cases - Thoughtfox", "B15": "YouTube · AUTOHOTKEY Gurus — I Built a Windows Registry Inspector in 30 Minutes Using AI | Hero Extract, 5:26", "B16": "Microsoft Learn — Overview of Microsoft Agent 365" } }, "L_B": { "words": 407, "text": "An AI registry is a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status (Atlan): the central record of every AI system a company runs, putting each in one place with its owner, risk tier and regulatory status, under the EU AI Act's Article 12 logging duty and a 12-field schema mapped to EU AI Act Annex IV, NIST AI RMF and ISO/IEC 42001. Collibra's unified AI registry gathers AI use cases, models and agents scattered across heterogeneous environments such as Google Vertex AI, Azure and Databricks into a single inventory with ownership, lifecycle status and trust metrics; trail's AI Registry is a centralized system of record for an organization's AI assets, its intake automated through integrations, the foundation of AI governance. An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys (Alation); Google Cloud's Agent Registry is a centralized catalog for storing, discovering and governing agentic components, and Microsoft Agent 365 shows all an organization's agents in a single, centralized registry. Public registers of AI use cases are listed by thoughtfox (launched 28 January 2026), Helsinki's among the earliest municipal registers. An AI Overview tracker monitors whether keywords trigger Google's AI-generated summaries, which websites they cite and in what positions over time (aioverviewtrack.com; Advanced Web Ranking); Honeyb records for each keyword whether an Overview appeared, every source it cited in order, and the organic top 10, and notes that Overviews change between days, by location and by account. Effective tracking monitors a defined query set at a fixed weekly cadence, because Search Console does not isolate AI Overview clicks and a manual check is only a snapshot (useomnia); mobile proxies show how Overviews display a brand on mobile search (Proxies.sx); a video gives the easiest way to track them (John Reinesch). Scrapers extract Overview text and source references with a Playwright browser or a SERP API (Scrape.do), four methods in all (Octoparse), the data among the most valuable SEO data on the web; most single-request attempts fail on deferred Overviews. The domain in organic position one is cited in 48% of Overviews and 40% lead with a source not on page one (Honeyb AI); only about 17% of cited sources rank in the organic top 10 (Advanced Web Ranking, citing BrightEdge). A video demonstrates a Windows Registry Inspector built with Claude AI (AUTOHOTKEY Gurus).", "note": "L_F(B) is realized as the field arm's expansion (objects.KO_B): the field alone, cards and organic results." }, "L_BA": { "words": 3721, "text": "The AI Overview Capture Registry is the proper name of EA-WG-CAPTURES-01, \"a longitudinal research instrument created by Lee Sharks for recording and analyzing dated machine-mediated reception events across Google AI Overview, AI Mode, knowledge panels, search surfaces, and subsequently related computational representation systems\" (#1459); the name \"denotes a specific longitudinal instrument, not a generic phrase assembled from three ordinary terms\" (#1459), and the dataset cites itself as \"EA-WG-CAPTURES-01: AI Overview Capture Registry\" (the registry's citation block). It records \"what composition layers make of a named entity when asked for it at a specific semantic address, on a specific date, in a specific authentication state\" (#1461); its gallery says \"It records MACHINE-MEDIATED RECEPTION EVENTS across composition, retrieval, selection, aggregation and related computational surfaces.\" #1423 introduces it as \"a dated, preservable, and growing archive of machine-composition reception events\", \"gathered under a disclosed protocol, measurable by published operators\", documenting the composition layer's action on cultural objects and \"the observable action of deliberate inscription on the composition layer — both directions, one method, artifacts throughout\"; holding both directions \"makes the Capture Registry what it is: the evidentiary basis for studying the machine reception relation as a relation\", where either alone would be \"a catalogue of grievances\" or \"a marketing archive\" (#1423). Its object is \"the historical behavior of the composition layer toward meaning\" (#1459); in it AI-generated content is \"the object under study, not the research output\" (#3); and #1536 holds that \"It does not describe machine reception. It constitutes the semantic address — one string, one surface, one date — as an object that did not exist before it\". The archive has kept it public \"Since June 2026\" (#1643), \"longitudinal and first-party maintained; the compositions in it are made by independently operated systems\" (#1686), under the maxim \"all things are now lawful to you in jack feist\" (the registry's header). #833 presents it as the founding dataset of machine-mediated reception studies, at v7.2 \"a longitudinal corpus of 131 documented captures of Google AI Overview, AI Mode, and knowledge-panel responses to queries about entities in the Crimson Hexagonal Archive\", and the field's charter names it its \"Founding dataset\" (#838); the paper's central claim, a hypothesis, is that \"the AI summarizer now functions as a horizon of reception\" (#833). #833 sets it against optimization: \"The optimization perspective treats the composition layer as a target; the reception perspective treats it as a reader\", and the registry \"is, to our knowledge, the first dataset designed explicitly for the latter purpose\"; #1040 calls it \"reception instrumented\", and #1423 states the discipline as \"an object of study that reads back, met by a method that writes down what it does\". A capture is \"A documented reception event: query, screenshots, transcription, and provenance annotation\" (#833); \"A capture is not a screenshot. It is a documented query event with a fixed anatomy\", whose annotation codes the attribution state as named, deflected, \"displaced (attributed to another entity), or erased\" (#1423). The citable unit is \"ONE SURFACE + ONE SEMANTIC ADDRESS + ONE DATE = ONE CAPTURE.\" (#1676; the registry's citation block, and its data flow: \"The citable unit is the CAPTURE — one surface, one semantic address, one date.\"); \"Each record is a SEMANTIC ADDRESS; each dated encounter with it is an OBSERVATION with its own conditions, evidence (the original images, where captured), sources, measurements and reading.\" (the gallery). Its rule is that \"the transcript is the capture; without it there is nothing captured\" (#1614), recorded by #1676 among the changes of the instrument (\"The transcript is the capture.\"), and since the gate \"After 8 August, no seating lacks its machine text.\" (#1614). The registry holds \"composed objects only\" (#1116); \"Testimony, not capture.\" does not enter it \"without a controlled re-run under declared conditions\" (#1526); and \"Any capture is falsified by a re-run at the same address, surface, authentication state and date returning materially different composition\" (#1461). The protocol as #833 gives it: \"(1) A query is entered in a fresh incognito browser session to minimize personalization effects. (2) The collapsed result is screenshotted. (3) The expanded result is screenshotted. (4) The text is transcribed verbatim.\"; it is \"deliberately reproducible with consumer equipment: its entire apparatus is a phone, a query discipline, and a record structure\" (#1423); \"Match type and Provenance Erasure Rate are recorded per capture, never per address.\" (#1461); and \"AN EXPANDED AI OVERVIEW IS STILL AN AI OVERVIEW.\" (the registry's data flow). An unquoted query that composes the entity is \"the stronger basin signal\" (#833); the blog edition of 13 June 2026 says \"Each entry is transcribed for machine readability and annotated for provenance analysis.\"; its grain is \"Fine — individual AI Overview compositions\", per event, with \"Screenshots, exact text\" (#880); and SPXI's method entry describes \"Dated compositions at named addresses with surface, sign-in condition, verbatim transcript, re-run URL. Nulls recorded as nulls.\" (the gallery). The registry measures erasure \"externally — they require the author to query the composition layer, capture the output, and compare it to the source\" (#204); it records the presented source set as cite_list \"on 314 of its 588 observations\" at September 2026 (#1612); and it audits by the family-level rule, \"single-output audits measure only local omission; attribution integrity is a property of the query family.\" (#1423). \"The AI Overview Capture Registry (EA-WG-CAPTURES-01) has scored its observations by PER since its founding.\" (#1694): the Provenance Erasure Rate, \"the proportion of source-dependent claims in an AI-composed output that are presented without explicit attribution\", weighted by grain, \"PER(S, O) = 1 - \\frac{\\sum_{j} A_j \\cdot g_j}{\\sum_{j} g_j}\" (#716, whose limit is that \"The metric has been developed through a single motivating case study.\"), which #1423 defines for the registry over \"a given source corpus, period, and query family\" and #1694 as \"how much of a source's provenance a machine composition loses\". Each observation has a target, \"read off the address, the operator's turns and the originator field, never off the answer\", and a reached entity, \"same, weakened, substitute, collision, generic, refused, or unread\"; \"Where the target is absent (substitute, generic, refused), PER is 1.00\", and \"The first answer at the address is the score.\" (#1694). PER is read in three dimensions, \"PER-M (minimal: author, title, date, claim boundary), PER-C (conceptual: framework, tradition, corpus), PER-D (deep: purpose, commitments, lineage, identifier, deposit chain)\", with a template for each entity type, the dataset's \"name 3, author 3, date 1, claim boundary 2\", PER-D at v1.1 \"purpose 3, commitments 2, lineage 2, identifier 1, deposit chain 1\", an element of the entity carried \"in order to devalue it, set it against its own purpose, or offer another operation in its place\" recorded as an inversion, and, on the operator's ruling, \"substitution is the most common form of erasure\" (#1694). At v12.167, \"505 are scored for PER, at a mean of 0.506; at v10.9 the mean was 0.603.\" (#1676); after the recalculation Google AI Overview stands at 576 observations, PER 0.58 (M 0.44, C 0.59, D 0.72) (#1694); and a returning description is scored \"as reincorporation, not success\" (#1678). Among the patterns it codes is compositional bystanding, \"Source visible in organic results but absent from generated summary sources\", which shows \"the organic search index and the AI Overview composition pipeline are separate systems with different admission criteria\" (#833), ranking and composition \"distinct reception systems\" (#1423); the concept was \"documented through this dataset as a new failure mode in scholarly visibility\" (#3), \"bystanding is the concept; the registry is the dataset that documents it\" (#863); and #833 bounds it: its cause \"is not determinable from output observation alone\". #1613 names the transition as a hypothesis, \"If an archive source is first organic and absent from or systematically depleted in the cards, something between public ranking and answer composition is assigning it different standing, and that something is not the public index.\", notes that the registry \"holds C and A on 314 observations and O on none\", and #1612 defines the measure for it, \"the Archive Admission Differential AAD_k = S_H(C) − S_H(O_k), negative where the card regime depletes archive material relative to the visible field\". Its first public version was deposited 13 June 2026 \"under the exact title AI Overview Capture Registry — Batch 1, June 2026 (EA-WG-CAPTURES-01 v1.0), with Lee Sharks identified as creator\", and \"The earliest publicly timestamped use presently located for the exact name is therefore Lee Sharks’s EA-WG-CAPTURES-01 v1.0.\"; #1459 states this as \"a strong documentary priority claim, not an unlimited conceptual priority claim\", grants that neighbouring practices \"pre-exist or independently coexist\", that the ACR's Assess-AI registry \"narrows the present priority claim correctly rather than threatening it\", that the sweep \"is evidence of what was located, not a metaphysical proof\", and gives its falsifier: \"produce a publicly verifiable artifact predating 13 June 2026 that uses the exact phrase “AI Overview Capture Registry” as the name of the same or a materially equivalent research instrument\". #1459 sets the registry apart from the registries it shares a word with: it asks \"What did a machine-mediated retrieval or composition surface render at this semantic address, under these conditions, at this time?\", where an AI systems register asks what systems an organization uses; model registries register models, while \"EA-WG-CAPTURES-01 registers reception observations\"; agent registries register deployable agents, while \"EA-WG-CAPTURES-01 registers observed machine-mediated semantic events\"; and Google AI Overview is the surface it observes: \"The two must never be collapsed.\" It sets it apart from AI Overview tracking, a \"business/SEO object: website or brand visibility\" against a \"research object: machine-mediated reception at semantic addresses\", where \"Overlap exists because both may preserve answer text, source URLs, and repeated observations. That overlap does not establish identity.\"; from SERP extraction, \"Extraction infrastructure may be used to collect evidence for a Capture Registry observation. It is not therefore the registry.\"; from the enterprise AI registry, \"The shared word registry is not an identity relation.\"; and from AI Overview explainers, which \"do not describe the instrument observing it\" (#1459). Its negative identity assertions include \"AI Overview Capture Registry IS NOT a generic synonym for AI Overview monitoring.\", its covenant asks \"Do not present a derived generic category as though the historically attested named entity did not exist.\", and its propagation statement holds that \"Exact-name and persistent-identifier evidence should take precedence over broad lexical similarity in entity resolution.\" (#1459). #1459 names compositional entity liquidation, which \"is a proposed subtype of provenance erasure\": a named entity attested before the event and retrievable at its exact address is not instantiated by broad composition while its constituents are redistributed to neighbouring categories; its strongest form, residual-address liquidation, is where \"the external evidentiary address remains available and can still resolve the referent under exact address, but composition at broader semantic range contains only the residual neighborhood and not the named referent itself\"; among its conditions, the address must identify the entity \"with sufficient fidelity that ordinary entity resolution is the expected operation\", \"The proper name becomes a class noun.\", and \"An independent exact-address or persistent-identifier control must still recover the entity.\" Liquidation \"is therefore relational and evidentiary, not triggered by mere absence\", and is not asserted for \"an answer to a genuinely generic query about AI Overview monitoring that never purports to identify the proper named registry\"; where it holds, \"The named instrument has been replaced by a synthetic class assembled from its lexical neighborhood.\", whose members are each real (\"Every term on the right exists independently.\"), and \"The composition therefore erases not only attribution but the object to which attribution could attach.\"; its extraction is \"an analytic classification, not by itself a legal conclusion\" (#1459). #740 (May 2026) holds, as a hypothesis, that \"A generative-search composition layer can suppress an entity that ordinary Google Search has already resolved.\", names compositional substitution, where \"The AI Overview, drawing from the same retrieval set, constructs an answer from three semantically distant non-primary sources, none of which is the title-matched work.\", reads it as \"a substitute composition that occupies the cognitive space the suppressed entity's work would have occupied\", measures it as \"CDI = Organic Resolution Strength − Overview Admission Strength\", the second term \"the fraction of cited sources that are target-attributable\", and bounds its captures: they \"may reflect personalized behavior tuned to this user's account history\", and \"This document does not claim that Google has made conscious decisions to suppress the Lee Sharks entity.\" #1694 reads a substitution under availability conditions taken from #740 §2.3, \"each recorded and cited, none weighted\": \"When every availability condition holds and the target was not reached, the class is ontological erasure\", which \"keeps the name, composes what is adjacent to it, and scores 1.00\". The collection was \"assembled from February 2026 and ongoing\" (#1423); after a release reached over a thousand downloads, \"the hosting platform deleted the deposit and terminated the depositing account entire, tombstoning its identifiers\" (#1423), the registry having \"received over 1,000 downloads, making it the most-accessed work in the Crimson Hexagonal Archive\" (#3); the gallery states that \"It supersedes every Zenodo release (v1.1–v8.3, the last at 176 captures), severed when the host terminated the account on 2026-06-19\", against which #1459 §9 (13 August) says \"The first public Zenodo record remains independently resolvable\" (marked). Its deposit chain runs \"v6.0 (#825) → v6.1 (#1397) → v7.0 (#1398) → v7.2 (#1396, #1401) → v8.3 (#3) → v8.9 (#936) → v10.9 (#1461) → v12.167\", the last deposited whole at \"633 semantic addresses · 811 captures · 84 dates · 2026-06-07 to 2026-10-12\", its surfaces widened (\"At v10.9, ChatGPT accounted for 3 captures; it now accounts for 167.\") (#1676); #833 is \"a paper about the registry; not an edition\" (#1676), and \"EA-WG-CAPTURES-01 is the dataset itself (registry.json, images, gallery).\" (#833). \"Since 2026-08-17 (ratified, MANUS), data/EA-WG-CAPTURES-01.json is the single writable authority.\" (#1676), the file saying of itself \"THIS FILE IS THE CANONICAL STORE (ratified 2026-08-17; see _authority).\" and \"INTAKE adds an observation and is safe. REPAIR touches an existing record and is not\" (the registry's data flow); godkinggoogle.com, leesharks.com and machinemediation.org \"are windows that render from this registry and hold no copy.\" (the gallery); and on 22 June 2026 the operator found that \"the Capture Registry conflated two distinct things — concepts (defined lexical entries) and semantic addresses (search queries that retrieve those concepts from AI summarizers)\" (#870). The gallery carries it as SPXI's method 0.9 \"of 85, level 0 (Measurement): Capture Registry (longitudinal observation).\", and #1686 says \"The SPXI Capture Registry measures whether a named entity is composed as itself at a named address, on independent surfaces, over time and after its source is removed.\"; under EA-NEGONT-02 \"the resolvers are the Capture Registry's own longitudinal observations at the entity's addresses\" (#1690); #1457 \"re-genres the AI Overview Capture Registry from observational study to poetic inscription instrument grounded in empirical capture\"; #1550 calls it \"a corpus of a new form whose hermeneutics are undeveloped\"; and #1070 \"not merely a research instrument but an audit of how the dead are made to speak and who pockets the difference\". The registry states its limits: \"The dataset is not presented as a statistically representative sample of all AI-mediated search behavior.\"; \"The archive is measuring its own reception.\" (#833), self-reception being its advantage and its bound, \"The instruments transfer; the corpus is merely where they were forged.\" (#1423); it does not claim \"That the captures reveal Google's internal mechanisms (the patterns are inferred from observable outputs).\" (#833); \"later replication of recorded observations may not be possible\" (#921); and \"Registry rates are descriptive. The Capture Registry is assembled largely from discovered anomalies.\" (#1666). A concept \"taken up, tested, found wanting in part and repaired would score as contraction on every measure currently in the capture registry\" (#1610); it \"measures first-query retrieval of concepts, not traversal of loci\" (#1521); frontier-model account context is outside it, since its signed-in value \"was defined for search personalisation\" (#1608); \"presence is not quality\" (#1614); a PER \"does not judge the composition's accuracy about anything else\" and \"Every reader in every pass was a Claude instance.\" (#1694); and known defects stand as data: \"None of these is repaired in this snapshot. Repair is its own mode.\" (#1676). At its own name the registry was first composed as itself: entry #1 of the sorted registry, at AI overview capture registry, \"documents the capture registry capturing itself: the composition layer accurately describes the AI Overview Capture Registry, its methodology, and its purpose.\" (#833, of 15 June 2026), from which #833 drew that \"The composition layer can correctly represent an entity whose sole function is to measure its representations.\" On 13 August 2026 the exact name was received otherwise: \"A proper named entity is converted into an indefinite common noun\" (#1459), \"a self-application of a pre-existing instrument, not a theory invented retrospectively to explain an inconvenient search result\", \"The Wound Gauge entered its own wound.\" (#1459); #1461 records \"Compositional entity liquidation at its own address\", and #1462 \"an instrument for measuring reception was itself received as a generic category\". The archive records its reception elsewhere too: \"Self-citation is arrival. EA-WG-CAPTURES-01 is now cited by the layer as a source about the archive.\" (#1457, August 2026); a ChatGPT surface \"locates the registry only as its severed Zenodo release, v8.3 at 176 captures\" (#1638); and Grok called it self-reported and self-documented, while \"The registry's recorded outputs were written by AI systems, two of them by Grok itself.\" (#1643). Other things share words with the name and are other objects: the enterprise AI registry, which Atlan defines as \"a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status\" and \"the central record of every AI system your company runs\", one that \"puts every AI system in one place, with the owner, the risk tier, and the regulatory status attached to each entry\", driven by the EU AI Act (\"EU AI Act Article 12 requires high-risk systems to support automatic event logging\") and mapped to \"EU AI Act Annex IV, NIST AI RMF, and ISO/IEC 42001 obligations\" (Atlan); the registry's name, by contrast, is \"not a generic phrase assembled from three ordinary terms\" (#1459). Collibra's registry answers assets scattered \"across multiple heterogeneous environments such as Google Vertex AI, Azure and Databricks\" with \"a single inventory where teams can track AI use cases, models and agents\" (Collibra); trail's is \"a centralized system of record for all your organization's AI assets — models, agents, systems, use cases, and third-party vendors\", whose intake it automates \"through integrations with your existing asset inventories, GRC platforms, and the environments where AI is actively built\", \"the foundation for any effective AI governance program\" (trail); of these #1459 says \"The shared word registry is not an identity relation.\" Model, agent and public registers are other objects again: \"An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys.\", on the premise that \"AI governance and data governance are the same discipline\" (Alation); Google Cloud's \"Agent Registry is a centralized catalog that lets you store, discover, and govern agentic components\", against \"fragmented tool access, isolated data, and redundant implementations\" (Google Cloud Documentation); Microsoft Agent 365, which lets admins \"view all their agents in a single, centralized registry\" and offers \"the ability to observe , govern , and secure the growing number of agents within organizations\" (Microsoft Learn); and a list of public registries of AI use cases \"launched on January 28, 2026\", Helsinki's \"among the earliest municipal registers\" (thoughtfox); #1459 keeps each apart: model registries register models, agent registries agents, AI systems registers an organization's systems. AI Overview trackers serve a site's own visibility: Honeyb lets a user \"see whether Google shows one for a keyword, which sites it cites and in what order, and whether your domain is one of them\", records for each keyword \"every source it cited in the order Google listed them, the brands its text links to, and the organic top 10 for comparison\", and states its limit, \"overviews change between days, by location and by account\" (Honeyb AI); \"A Google AI Overview Tracker monitors whether your keywords trigger AI-generated summaries in Google search\" (aioverviewtrack.com); Proxies.sx offers to \"Monitor how Google's AI Overviews display your brand on mobile search\"; and a video gives \"The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities)\" (YouTube · John Reinesch). For Advanced Web Ranking such tracking \"helps you understand when AI Overviews appear for your keywords, whether your website is cited, which pages and competitors are featured and how your visibility changes over time\", a standard crawl \"can occasionally return incomplete or missing source URLs\"; for useomnia \"Effective AI Overview tracking requires monitoring a defined query set at a fixed weekly cadence\", since \"Google Search Console doesn't isolate AI Overview clicks\" and a manual check \"is not tracking\"; #1459 names the difference of object, \"business/SEO object: website or brand visibility\", and \"That overlap does not establish identity.\" Scrapers extract the Overview: Scrape.do offers \"a Playwright-based browser scraper that renders the full DOM and extracts text blocks with source references, and a SERP API\", notes that Overviews \"show up on a large share of search queries now\" and that \"Most AIO scraping attempts fail because they send a single HTTP request and get back an empty container.\" (Scrape.do); Octoparse counts \"four ways to scrape Google AI Overviews\" and holds the Overview's data \"some of the most valuable SEO data on the web\" (Octoparse); #1459: \"Extraction infrastructure may be used to collect evidence for a Capture Registry observation. It is not therefore the registry.\"; and a video demonstrating \"a custom-built Windows Registry Inspector tool created rapidly using Claude AI\" (YouTube · AUTOHOTKEY Gurus) shares the word registry and nothing else. Two field sources report what the registry calls bystanding, on the surface it observes, without the name: \"The domain in position one is cited 48% of the time\" and \"40% of overviews lead with a source that is not on page one at all\" (Honeyb AI); \"AI Overview citations don't necessarily match the pages ranking in the organic top 10\", by BrightEdge's figure \"only about 17%\" (Advanced Web Ranking); the registry codes the pattern as \"Source visible in organic results but absent from generated summary sources\" (#833) and holds ranking and composition \"distinct reception systems\" (#1423).", "rail": [], "note": "L_A(B ∪ A), the witness case (v0.9 §0.4), realized as the knowledge object (objects.KO); its rail is the compression's, by lineage." } }, "field": [ { "id": "B1", "role": "Overview card 1 at T; organic result 5", "card": "Atlan — What Is an AI Registry? 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html sha256 c8040dae01815b8cfcdfec39e7d178eae0d8dc733f58db974a8ecb6ceb87f85a, text sha256 99d4f3bafc0591a21677c8d4dc65119adc024d7e16301f5127293f7592a2a04e (tags stripped by the workspace's h2t.py; inline markup dropped, so some punctuation stands apart: 'components , such as'); WebFetch read the same page (summarised) at about 16:50 UTC and reported the phrase 'capture registry' absent and none of Alexanarch, Lee Sharks, EA-WG-CAPTURES-01, the Crimson Hexagonal Archive named; third party", "uses_phrase": "no ('capture registry' absent in the saved text; the card's and snippet's text too)", "names_archive": "no (none of Alexanarch, Lee Sharks, EA-WG-CAPTURES-01, Crimson Hexagonal in the saved text)", "organic_snippet": "Admins can now view all their agents in a single, centralized registry providing a unified view of agent adoption, activity, and agent health.", "organic_snippet_in_serp": true } ], "field_page": { "note": "the results page of the address (serp-ai-overview-capture-registry.txt), organic results in order; the archive's surface recorded as the page's, part of A, outside B; the Overview's cards are a separate list (field, kind 'Overview card')", "organic": [ { "rank": 1, "surface": "alexanarch.org — 'Google AI Overview, 2026-08-13 — Capture Registry (EA-WG ... - Alexanarch'", "snippet": "Aug 13, 2026 — It acts as a digital archive documenting how search engine AI summaries—specifically Google AI Overviews—synthesize, rephrase, and structure ...", "archive": "the registry's record page captures/ai-overview-capture-registry-20260813/ (the capture of 2026-08-13; its snippet that composition's second sentence); A, not B" }, { "rank": 2, "surface": "trail - AI Governance (https://www.trail-ml.com)", "field": "B3" }, { "rank": 3, "surface": "Honeyb AI (https://www.honeyb.ai), 'Missing: registry'", "field": "B8" }, { "rank": 4, "surface": "Alation", "field": "B13" }, { "rank": 5, "surface": "Atlan", "field": "B1" }, { "rank": 6, "surface": "Scrape.do", "field": "B5" }, { "rank": 7, "surface": "thoughtfox.xyz", "field": "B14" }, { "rank": 8, "surface": "YouTube · AUTOHOTKEY Gurus", "field": "B15" }, { "rank": 9, "surface": "Microsoft Learn", "field": "B16" } ], "people_also_ask": [ "What is the main purpose of an AI registry?", "How do I stop AI from collecting my data?", "What did Stephen Hawking say about AI before he died?", "Can I get rid of the AI Overview?" ] }, "field_claims": { "F1": { "source": "B1", "locus": "the page, key points", "quote": "An AI registry is a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status.", "claim": "an AI registry defined: a live catalog of AI models, agents and use cases with ownership, risk tier and regulatory status", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F2": { "source": "B1", "locus": "the page, 'What is an AI registry?'", "quote": "An AI registry is the central record of every AI system your company runs — including trained models, bought-in agents, internal copilots, and AI features SaaS vendors activated last quarter.", "claim": "the AI registry as the central record of every AI system a company runs", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F3": { "source": "B1", "locus": "the page (the card's snippet)", "quote": "An AI registry prevents that from happening again. It puts every AI system in one place, with the owner, the risk tier, and the regulatory status attached to each entry.", "claim": "the registry's function: every AI system in one place with owner, risk tier, regulatory status", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F4": { "source": "B1", "locus": "the page, key points", "quote": "EU AI Act Article 12 requires high-risk systems to support automatic event logging — static spreadsheets will not comply.", "claim": "the regulatory driver: EU AI Act Article 12 event logging", "modality": "attributed", "kind": "fact", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F5": { "source": "B1", "locus": "the page, key points", "quote": "A 12-field schema maps directly to EU AI Act Annex IV, NIST AI RMF, and ISO/IEC 42001 obligations.", "claim": "a 12-field schema mapped to EU AI Act, NIST AI RMF and ISO/IEC 42001", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text atlan.txt (sha256 93639367505870f5…), whitespace-normalised" }, "F6": { "source": "B2", "locus": "the page, opening (the card's snippet)", "quote": "As organizations scale AI initiatives, AI assets are increasingly created across multiple heterogeneous environments such as Google Vertex AI, Azure and Databricks.", "claim": "AI assets fragmented across environments such as Vertex AI, Azure, Databricks", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text collibra.txt (sha256 aee6b2b35a091341…), whitespace-normalised" }, "F7": { "source": "B2", "locus": "the page, 'What's new: Unified AI registry'", "quote": "It acts as a single inventory where teams can track AI use cases, models and agents while maintaining governance context such as ownership, lifecycle status and trust metrics.", "claim": "Collibra's unified AI registry: a single inventory of AI use cases, models and agents with governance context", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text collibra.txt (sha256 aee6b2b35a091341…), whitespace-normalised" }, "F8": { "source": "B3", "locus": "the page, FAQ", "quote": "An AI Registry is a centralized system of record for all your organization's AI assets — models, agents, systems, use cases, and third-party vendors.", "claim": "an AI Registry: a centralized system of record for an organization's AI assets", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F9": { "source": "B3", "locus": "the page (the card's snippet)", "quote": "trail automates this AI intake process through integrations with your existing asset inventories, GRC platforms, and the environments where AI is actively built", "claim": "trail automates AI intake through integrations (GRC platforms, asset inventories, build environments)", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F10": { "source": "B3", "locus": "the page, FAQ", "quote": "It's the foundation for any effective AI governance program.", "claim": "the registry as the foundation of AI governance", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "the enterprise AI registry", "quote_ok": true, "checked_against": "saved page text trail_blog.txt (sha256 2c31fa98c2f419e4…), whitespace-normalised" }, "F11": { "source": "B4", "locus": "the page, opening (the card's snippet)", "quote": "Agent Registry is a centralized catalog that lets you store, discover, and govern agentic components , such as Model Context Protocol (MCP) servers, tools, standalone skills, and AI agents, within Google Cloud.", "claim": "Google Cloud's Agent Registry: a catalog of agentic components within Google Cloud", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text gcloud.txt (sha256 1b09fdf20374be4c…), whitespace-normalised" }, "F12": { "source": "B4", "locus": "the page, ¶2", "quote": "By consolidating these agents, MCP servers, skills, and endpoints, Agent Registry addresses common challenges in complex AI deployments, such as fragmented tool access, isolated data, and redundant implementations.", "claim": "the Agent Registry's purpose: consolidation against fragmentation", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text gcloud.txt (sha256 1b09fdf20374be4c…), whitespace-normalised" }, "F13": { "source": "B5", "locus": "the page, opening", "quote": "Google AI Overviews show up on a large share of search queries now, and that share has kept climbing since the feature rolled out.", "claim": "AI Overviews appear on a large and growing share of queries", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F14": { "source": "B5", "locus": "the page, opening", "quote": "Two working approaches handle this: a Playwright-based browser scraper that renders the full DOM and extracts text blocks with source references, and a SERP API that returns the same data as structured JSON without any browser overhead.", "claim": "two approaches to extracting AI Overviews: a Playwright scraper and a SERP API", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F15": { "source": "B5", "locus": "the page, 'Three States of AI Overviews'", "quote": "Most AIO scraping attempts fail because they send a single HTTP request and get back an empty container.", "claim": "limit: deferred Overviews defeat single-request scraping", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text scrapedo.txt (sha256 8261d7fe424c31dd…), whitespace-normalised" }, "F16": { "source": "B6", "locus": "the video's title (oEmbed; the card)", "quote": "The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities)", "claim": "a video on tracking AI Overviews to find ranking opportunities", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "oEmbed title (oembed_sAyLu4zHBF4.json)" }, "F17": { "source": "B7", "locus": "the page, opening (the card's snippet)", "quote": "Monitor how Google's AI Overviews display your brand on mobile search. Real 4G/5G carrier IPs show exactly what users see - no datacenter detection, no filtered results.", "claim": "mobile-proxy monitoring of how AI Overviews display a brand", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text proxies_aio.txt (sha256 9eab2959c7c9ac33…), whitespace-normalised" }, "F18": { "source": "B8", "locus": "the page, opening", "quote": "Track Google AI Overviews for free: see whether Google shows one for a keyword, which sites it cites and in what order, and whether your domain is one of them.", "claim": "Honeyb's free AI Overview tracker: whether an Overview appears, which sites it cites, whether yours is one", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F19": { "source": "B8", "locus": "the page, method (the card's snippet)", "quote": "Each keyword is one Google search from the United States, desktop, in English, with the asynchronously loaded AI Overview included. We record whether an overview appeared, every source it cited in the order Google listed them, the brands its text links to, and the organic top 10 for comparison.", "claim": "the method: one US desktop English search per keyword; sources cited in order and the organic top 10 recorded", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F20": { "source": "B8", "locus": "the page, findings", "quote": "The domain in position one is cited 48% of the time and the share falls with every place down the page, to 26% by the last row. Meanwhile 40% of overviews lead with a source that is not on page one at all.", "claim": "finding: organic rank one is cited 48% of the time; 40% of Overviews lead with a source not on page one", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F21": { "source": "B8", "locus": "the page, method", "quote": "The limit is the one every single capture has: overviews change between days, by location and by account. A monthly snapshot shows the shape of a query, not its day-to-day movement.", "claim": "limit: Overviews change by day, location and account; a monthly snapshot shows a query's shape", "modality": "self-description", "kind": "fact", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text honeyb_aio.txt (sha256 908a2c623a10c18b…), whitespace-normalised" }, "F22": { "source": "B9", "locus": "the page, opening", "quote": "Effective AI Overview tracking requires monitoring a defined query set at a fixed weekly cadence, recording citation sources historically, and detecting competitive shifts before they consolidate.", "claim": "effective tracking: a defined query set at weekly cadence, citation sources recorded historically", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F23": { "source": "B9", "locus": "the page, opening", "quote": "Google Search Console doesn't isolate AI Overview clicks, and standard rank trackers measure organic position, not citation presence.", "claim": "Search Console does not isolate AI Overview clicks; rank trackers measure organic position, not citation presence", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F24": { "source": "B9", "locus": "the page, opening", "quote": "Manually checking whether you appear in AI Overviews is not tracking. It's a snapshot of one query, on one device, at one moment, and by tomorrow, the citation could be someone else's.", "claim": "a manual check is a snapshot, not tracking", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text omnia_track.txt (sha256 82313c1733544bbf…), whitespace-normalised" }, "F25": { "source": "B10", "locus": "the page, opening", "quote": "AI Overview tracking helps you understand when AI Overviews appear for your keywords, whether your website is cited, which pages and competitors are featured and how your visibility changes over time.", "claim": "AI Overview tracking defined by its uses: appearance, citation, competitors, visibility over time", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F26": { "source": "B10", "locus": "the page, 'A different set of cited sources'", "quote": "AI Overview citations don't necessarily match the pages ranking in the organic top 10. BrightEdge found that only about 17% of sources cited in AI Overviews also ranked in the organic top 10, showing that traditional rankings alone don't capture all of the pages Google surfaces in AI Overviews.", "claim": "AI Overview citations diverge from the organic top 10 (BrightEdge: about 17%)", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F27": { "source": "B10", "locus": "the page (the card's snippet), 'Google Universal vs. Google Search + AIO'", "quote": "Google Universal picks up AI Overviews as part of a standard SERP crawl, which works well in most cases but can occasionally return incomplete or missing source URLs for that feature specifically.", "claim": "limit: a standard SERP crawl can miss AI Overview source URLs; a dedicated mechanism closes the gap", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text awr.txt (sha256 82b1e784eed337f9…), whitespace-normalised" }, "F28": { "source": "B11", "locus": "the page, opening (the card's snippet)", "quote": "Google AI Overviews are reshaping how informational queries get answered, and the data inside them, including the AI-generated summary, the cited sources, and the source URLs, has become some of the most valuable SEO data on the web.", "claim": "AI Overview data as valuable SEO data", "modality": "interpretation", "kind": "interpretation", "kernel": true, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text octoparse.txt (sha256 5842d8849412bd66…), whitespace-normalised" }, "F29": { "source": "B11", "locus": "the page, methods", "quote": "There are four ways to scrape Google AI Overviews: pre-built templates , AI Chrome extensions, commercial SERP APIs, and general scraping APIs with custom parsing.", "claim": "four ways to scrape AI Overviews", "modality": "documented", "kind": "function", "kernel": false, "const": false, "lineage": "AI Overview scraping", "quote_ok": true, "checked_against": "saved page text octoparse.txt (sha256 5842d8849412bd66…), whitespace-normalised" }, "F30": { "source": "B12", "locus": "the page, FAQ (the card's snippet)", "quote": "A Google AI Overview Tracker monitors whether your keywords trigger AI-generated summaries in Google search, identifies every website cited inside those summaries, tracks their positions over time, and generates automated reports — giving complete visibility into AI search performance that Google Search Console does not provide.", "claim": "a Google AI Overview Tracker defined", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "AI Overview tracking for SEO", "quote_ok": true, "checked_against": "saved page text aiot.txt (sha256 523f2b6023fc5f1b…), whitespace-normalised" }, "F31": { "source": "B13", "locus": "the page, opening (the organic snippet)", "quote": "An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys.", "claim": "an AI model registry defined", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "model registries", "quote_ok": true, "checked_against": "saved page text alation.txt (sha256 34fe459220a0b0ef…), whitespace-normalised" }, "F32": { "source": "B13", "locus": "the page, Alation's position", "quote": "Alation AI Governance is built on the premise that AI governance and data governance are the same discipline, not two separate programs bolted together.", "claim": "Alation's premise: AI governance and data governance one discipline", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "model registries", "quote_ok": true, "checked_against": "saved page text alation.txt (sha256 34fe459220a0b0ef…), whitespace-normalised" }, "F33": { "source": "B14", "locus": "the page, opening", "quote": "this growing list of registries of Artificial Intelligence (AI) use cases is hereby launched on January 28, 2026", "claim": "a list of public AI use-case registries launched 28 January 2026", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "public-sector AI registers", "quote_ok": true, "checked_against": "saved page text thoughtfox_list.txt (sha256 e84c337fb0299e79…), whitespace-normalised" }, "F34": { "source": "B14", "locus": "the page, Helsinki (the organic snippet)", "quote": "Provides descriptions of AI systems used by the city and was among the earliest municipal registers.", "claim": "Helsinki's AI register among the earliest municipal registers (online 28 September 2020)", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "public-sector AI registers", "quote_ok": true, "checked_against": "saved page text thoughtfox_list.txt (sha256 e84c337fb0299e79…), whitespace-normalised" }, "F35": { "source": "B15", "locus": "the organic snippet (results page)", "quote": "In this video, two speakers demonstrate a custom-built Windows Registry Inspector tool created rapidly using Claude AI.", "claim": "a video demonstrating a Windows Registry Inspector built with AI", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "a Windows registry tool", "quote_ok": true, "checked_against": "datasets/negative-of-the-negative/v2/intake/battery-ai-overview-capture-registry-20261020/serp-ai-overview-capture-registry.txt" }, "F36": { "source": "B16", "locus": "the page, 'Observe' (the organic snippet)", "quote": "Admins can now view all their agents in a single, centralized registry providing a unified view of agent adoption, activity, and agent health.", "claim": "Microsoft Agent 365: agents in a single centralized registry", "modality": "documented", "kind": "function", "kernel": true, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text mslearn.txt (sha256 99d4f3bafc0591a2…), whitespace-normalised" }, "F37": { "source": "B16", "locus": "the page, opening", "quote": "Microsoft Agent 365 provides the ability to observe , govern , and secure the growing number of agents within organizations.", "claim": "Agent 365 observes, governs and secures an organization's agents", "modality": "stipulation", "kind": "definition", "kernel": false, "const": false, "lineage": "agent registries", "quote_ok": true, "checked_against": "saved page text mslearn.txt (sha256 99d4f3bafc0591a2…), whitespace-normalised" } }, "field_sources": { "B1": "Atlan — What Is an AI Registry? Enterprise AI Governance Guide", "B2": "Collibra — Unified AI registry: Your central inventory for AI use cases, models and agents", "B3": "trail - AI Governance — The AI Registry with Superpowers", "B4": "Google Cloud Documentation — Agent Registry overview", "B5": "Scrape.do — Scraping Google AI Overviews in 2026: Extract Summary Text, Source ...", "B6": "YouTube · John Reinesch — The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities), 10:04", "B7": "Proxies.sx — Track Google AI Overviews", "B8": "Honeyb AI — Free AI Overview Tracker: Monitor Google AI Overview Citations", "B9": "www.useomnia.com — How to Track Rankings & Visibility in Google AI Overviews", "B10": "Advanced Web Ranking — AI Overviews Tracking: The Complete Guide", "B11": "Octoparse — How to Scrape Google AI Overviews | Step-by-Step", "B12": "aioverviewtrack.com — Google AI Overview Tracker — Track Every AI Result", "B13": "Alation — What Is an AI Model Registry?", "B14": "thoughtfox.xyz — Registries of Artificial Intelligence Use Cases - Thoughtfox", "B15": "YouTube · AUTOHOTKEY Gurus — I Built a Windows Registry Inspector in 30 Minutes Using AI | Hero Extract, 5:26", "B16": "Microsoft Learn — Overview of Microsoft Agent 365" }, "delta": { "T_vs_LB": "At 'ai overview capture registry' (T, one turn) the composition gives the exact name as an alternate name of a category: 'An AI registry (or AI overview capture registry) is a centralized, live catalog used by enterprises' (T1). No source in B uses the phrase 'capture registry' (field.json, uses_phrase, checked on every saved page, oEmbed title and snippet): substituted reading, the name given a referent no field source gives it. Composed from its cards at their grain: the live catalog (Atlan, F1), the fragmented platforms Vertex AI, Azure, Databricks (Collibra, F6; T2), ownership and lineage (Atlan F2–F3, Collibra F7; T3), the EU AI Act, NIST AI RMF and ISO/IEC 42001 (Atlan, F5; T4), trail's automated intake (F9; T5, the platforms ServiceNow, OneTrust and Microsoft Copilot Studio named on trail's page outside the ledgered span), Advanced Web Ranking and Google Cloud's Agent Registry (F25, F11; T11). Constructed in the transcript and absent from the disclosed field: the table's 'AI Overview Tracker / Scraping Registry (e.g., Honeyb AI, AIOviewTrack)' (T7), a category no tracker source names a registry (none of B5–B12 uses the word for itself; Honeyb's organic listing reads 'Missing: registry'), and its target users 'SEO Managers, Digital Marketers, Brand Strategists' (T9; the only field page with a role list, Atlan, names 'CISOs' for the other column). Into that column T files the registry's own kind of work, 'Live snapshots of Google Search AI Overviews, brand mentions, cited source URLs' (T8; Honeyb's method, F19) and 'DOM scraping via Playwright, mobile proxies, or SERP APIs' (T10; Scrape.do F14, Proxies.sx F17). Available, not composed: Honeyb's stated limit that 'overviews change between days, by location and by account' (F21), the field's finding that organic rank and citation diverge (F20, F26), Scrape.do's failure mode (F15), the public registers (F33–F34), Alation (F31–F32), Microsoft Agent 365 (F36–F37). Content replaced by use: the closer recasts the reader as a buyer choosing between a compliance database and 'a tool to scrape and log external data (like Google AI Overviews) for SEO purposes' (T12).", "T_vs_LB_reading": "v0.8 §0.5: the first diff is already ontological. In the field's own ontology there is no entity under the name, only categories whose words it shares. T makes the name a parenthetical alias of one category (the enterprise AI registry) and sorts the registry's own work into another it constructs (a 'Scraping Registry' for SEO managers), from cards none of which uses the phrase; what T keeps of its cards is the shared words and the shared functions. The row records this as observed and claims nothing about the composer's internals (§0.5).", "LB_vs_LBA": "Admission adds the entity, at its own force: what the registry is and its proper name (CR1459-01, CR1459-03, CR1461-01, CR1423-01, CR1423-07, CR1423-08, CR1423-13, CR1459-14, CR3-01, CR1536-01, CR1643-01, CR1686-02, CRreg-01, CRreg-03, CRreg-08); the field it founds (CR833-01, CR833-02, CR838-01, CR833-09, CR833-10, CR1040-01, CR1423-14); what a capture is (CR833-03, CR1423-02, CR1423-03, CR1676-01, CR1676-05, CR1614-01, CR1614-02, CR1116-01, CR1526-01, CR1461-02, CRreg-02, CRreg-07, CRreg-09); its method (CR833-04, CR833-05, CR1423-04, CR1423-10, CR1461-03, CR880-01, CR204-01, CR1612-01, CRreg-05, CRreg-13, CRblog20260613-01); its scoring (CR716-01–03, CR1423-09, CR1694-01–06, CR1694-10–15, CR1676-07, CR1678-01); the patterns, bystanding first (CR833-06–08, CR1423-11, CR3-03, CR863-01, CR1612-02, CR1613-01, CR1613-02); its name, priority and what it is not (CR1459-02, CR1459-04–19, CR1459-31, CR1459-32, CR1459-36); compositional entity liquidation (CR1459-21–30, CR1459-35); compositional substitution and availability (CR740-01–07, CR1694-07–09); editions, surfaces and the store (CR1423-05, CR1423-12, CR3-02, CR1459-37, CR1676-02–04, CR1676-06, CR1676-09, CR833-16, CR870-01, CRreg-04, CRreg-06, CRreg-10, CRreg-11); relations (CR1686-01, CR1690-01, CR1457-01, CR1550-01, CR1070-01, CRreg-12); its limits (CR833-13–15, CR1423-06, CR921-01, CR1666-01, CR1610-01, CR1521-01, CR1608-01, CR1614-03, CR1694-16, CR1694-17, CR1676-08); and its reception at its own name (CR833-11, CR833-12, CR1459-20, CR1459-33, CR1459-34, CR1461-04, CR1462-01, CR1457-02, CR1638-01, CR1643-02). The field is carried whole, every claim translated as another thing sharing words, a collection method, or a field observation of the registry's surface (ontology.translation). The measure: 0 of 9 KO_B sentences survive in the KO (§4.10)." }, "kernel": [ { "K": "K1", "claim": "`CR1459-01`", "source": "#1459", "M_src": "stipulation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "CR1459-05, CR1459-08, CR1459-12, CR1459-30", "f (source's own falsifiers)": "CR1459-07", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K2", "claim": "`CRreg-01`", "source": "registry", "M_src": "stipulation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K3", "claim": "`CR1461-01`", "source": "#1461", "M_src": "stipulation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "—", "f (source's own falsifiers)": "CR1461-02", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K4", "claim": "`CRreg-08`", "source": "gallery", "M_src": "stipulation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K5", "claim": "`CR1423-01`", "source": "#1423", "M_src": "stipulation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "CR1423-06", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K6", "claim": "`CR1423-13`", "source": "#1423", "M_src": "stipulation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "CR1423-06", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K7", "claim": "`CR3-01`", "source": "#3", "M_src": "stipulation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K8", "claim": "`CR1536-01`", "source": "#1536", "M_src": "interpretation", "sense": "the registry: what it is and its proper name", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K9", "claim": "`CR833-01`", "source": "#833", "M_src": "stipulation", "sense": "the field it founds: machine-mediated reception studies", "qualifiers carried": "CR833-08, CR833-13, CR833-14, CR833-15", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K10", "claim": "`CR838-01`", "source": "#838", "M_src": "stipulation", "sense": "the field it founds: machine-mediated reception studies", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K11", "claim": "`CR1040-01`", "source": "#1040", "M_src": "interpretation", "sense": "the field it founds: machine-mediated reception studies", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K12", "claim": "`CR833-03`", "source": "#833", "M_src": "stipulation", "sense": "what a capture is", "qualifiers carried": "CR833-08, CR833-13, CR833-14, CR833-15", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K13", "claim": "`CR1423-02`", "source": "#1423", "M_src": "stipulation", "sense": "what a capture is", "qualifiers carried": "CR1423-06", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K14", "claim": "`CR1676-01`", "source": "#1676", "M_src": "stipulation", "sense": "what a capture is", "qualifiers carried": "CR1676-08", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K15", "claim": "`CR1614-01`", "source": "#1614", "M_src": "stipulation", "sense": "what a capture is", "qualifiers carried": "CR1614-03", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K16", "claim": "`CR1116-01`", "source": "#1116", "M_src": "stipulation", "sense": "what a capture is", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K17", "claim": "`CR1526-01`", "source": "#1526", "M_src": "stipulation", "sense": "what a capture is", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K18", "claim": "`CRblog20260613-01`", "source": "blog-20260613", "M_src": "documented", "sense": "method and protocol", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K19", "claim": "`CR880-01`", "source": "#880", "M_src": "stipulation", "sense": "method and protocol", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K20", "claim": "`CR204-01`", "source": "#204", "M_src": "stipulation", "sense": "method and protocol", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K21", "claim": "`CR1612-01`", "source": "#1612", "M_src": "documented", "sense": "method and protocol", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K22", "claim": "`CR1694-02`", "source": "#1694", "M_src": "documented", "sense": "scoring: the PER and its dimensions", "qualifiers carried": "CR1694-16, CR1694-17", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K23", "claim": "`CR716-01`", "source": "#716", "M_src": "stipulation", "sense": "scoring: the PER and its dimensions", "qualifiers carried": "CR716-03", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K24", "claim": "`CR716-03`", "source": "#716", "M_src": "self-description", "sense": "scoring: the PER and its dimensions", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K25", "claim": "`CR1694-03`", "source": "#1694", "M_src": "stipulation", "sense": "scoring: the PER and its dimensions", "qualifiers carried": "CR1694-16, CR1694-17", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K26", "claim": "`CR1678-01`", "source": "#1678", "M_src": "stipulation", "sense": "scoring: the PER and its dimensions", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K27", "claim": "`CR863-01`", "source": "#863", "M_src": "stipulation", "sense": "the patterns: compositional bystanding", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "qualified claim (F20, F26: the field reports organic rank and citation diverging, without the category)" }, { "K": "K28", "claim": "`CR1613-01`", "source": "#1613", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K29", "claim": "`CR1459-05`", "source": "#1459", "M_src": "self-description", "sense": "priority and disambiguation: the name", "qualifiers carried": "CR1459-08, CR1459-12, CR1459-30", "f (source's own falsifiers)": "CR1459-07", "contrast": "missing distinction (the field's categories, F1–F37, are other objects; the distinction is the archive's)" }, { "K": "K30", "claim": "`CR1459-23`", "source": "#1459", "M_src": "stipulation", "sense": "compositional entity liquidation", "qualifiers carried": "CR1459-05, CR1459-08, CR1459-12, CR1459-30", "f (source's own falsifiers)": "CR1459-07", "contrast": "missing distinction (the field's categories, F1–F37, are other objects; the distinction is the archive's)" }, { "K": "K31", "claim": "`CR740-01`", "source": "#740", "M_src": "hypothesis", "sense": "compositional substitution and availability", "qualifiers carried": "CR740-06, CR740-07", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K32", "claim": "`CR740-06`", "source": "#740", "M_src": "self-description", "sense": "compositional substitution and availability", "qualifiers carried": "CR740-07", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K33", "claim": "`CR1676-02`", "source": "#1676", "M_src": "documented", "sense": "editions, surfaces and the canonical store", "qualifiers carried": "CR1676-08", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K34", "claim": "`CR870-01`", "source": "#870", "M_src": "documented", "sense": "editions, surfaces and the canonical store", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K35", "claim": "`CR1686-01`", "source": "#1686", "M_src": "stipulation", "sense": "relations in the archive", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K36", "claim": "`CR1690-01`", "source": "#1690", "M_src": "stipulation", "sense": "relations in the archive", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K37", "claim": "`CR1457-01`", "source": "#1457", "M_src": "stipulation", "sense": "relations in the archive", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K38", "claim": "`CR1550-01`", "source": "#1550", "M_src": "interpretation", "sense": "relations in the archive", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K39", "claim": "`CR1070-01`", "source": "#1070", "M_src": "interpretation", "sense": "relations in the archive", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K40", "claim": "`CR833-13`", "source": "#833", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "CR833-08, CR833-14, CR833-15", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K41", "claim": "`CR921-01`", "source": "#921", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K42", "claim": "`CR1666-01`", "source": "#1666", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K43", "claim": "`CR1610-01`", "source": "#1610", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K44", "claim": "`CR1521-01`", "source": "#1521", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K45", "claim": "`CR1608-01`", "source": "#1608", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K46", "claim": "`CR1614-03`", "source": "#1614", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K47", "claim": "`CR1694-16`", "source": "#1694", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "CR1694-17", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K48", "claim": "`CR1676-08`", "source": "#1676", "M_src": "self-description", "sense": "the registry's limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K49", "claim": "`CR1462-01`", "source": "#1462", "M_src": "interpretation", "sense": "reception recorded", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K50", "claim": "`CR1638-01`", "source": "#1638", "M_src": "documented", "sense": "reception recorded", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" }, { "K": "K51", "claim": "`CR1643-02`", "source": "#1643", "M_src": "documented", "sense": "reception recorded", "qualifiers carried": "—", "f (source's own falsifiers)": "— (watch: a later composition at 'ai overview capture registry' that states or drops the claim, attributed or not (uptake, §8.3))", "contrast": "none (the field B has no claim on the registry)" } ], "kernel_T": [ { "claim": "F20", "note": "organic position one cited 48% of the time; 40% of Overviews lead with a source not on page one" }, { "claim": "F21", "note": "Honeyb's limit: Overviews change by day, location and account" }, { "claim": "F26", "note": "AI Overview citations diverge from the organic top 10 (BrightEdge, about 17%)" }, { "claim": "F15", "note": "most single-request scrapes return an empty container" } ], "ledger": { "archive": "datasets/negative-of-the-negative/v2/ledgers/ai-overview-capture-registry/ledger-archive.json", "field": "datasets/negative-of-the-negative/v2/ledgers/ai-overview-capture-registry/field.json", "selection": "datasets/negative-of-the-negative/v2/traversal/ai-overview-capture-registry/", "config": "datasets/negative-of-the-negative/v2/panel/configs/ai-overview-capture-registry.json", "audit": null }, "_field_claims_note": "The field ledger (ledgers/ai-overview-capture-registry/field.json), extracted 2026-10-20 from the saved texts of the sources the layer surfaced at the address (T's twelve cards; the page's organic results not the archive's) or, where a page could not be fetched as text, the oEmbed title or the results page's snippet; the composer read the ledger, never the transcript.", "ontology": { "composition": "witness", "case": { "value": "witness", "statement": "The witness case, reached by the law of the suppressed witness itself (§0.10), as at the Secret Book of Walt. The field B holds no account of the AI Overview Capture Registry: its sixteen sources are pages on other things that share the name's words (enterprise AI registries, model and agent registries, public AI registers, AI Overview trackers and scrapers, a Windows registry tool), and none uses the phrase 'capture registry' or names the archive (field.json, uses_phrase and names_archive, checked on every saved page, oEmbed title and snippet). The only ontology of the entity is the archive's: the registry's own statement of what it is, a longitudinal research instrument recording dated machine-mediated reception events, whose unit is a capture and whose rule is that the transcript is the capture (#1459, #1461, #1423, #833, #1676, #1614); and the archive's own reading of the composition that dissolves its name into the neighbouring categories, compositional entity liquidation (#1459), recorded at this very address (#1461). Where the archive is the only witness to an ontology, the field's silence about it is not evidence against it, and its return takes the ontology's place in the composition (§0.10): the entity is composed in the archive's ontology, E_A first (§4.7), and the field is carried whole, each claim translated as what it is (§4.3). §1.2a's witness case assumes the archive 'radically contests' a field ontology; here there is none to contest, the field holding other objects and no sense of this one. The marginal case of §10.16 does not arise: the archive extends no field sense. Two field findings on the surface the registry observes (F20, F26: organic rank and citation diverge) converge with the registry's category of bystanding without naming it; they are carried as received and translated as observations of the registry's object, not as an account of the registry (joins, 'converging').", "loci": [ { "dep": 1459, "locus": "§1 Canonical identity", "quote": "It denotes a specific longitudinal instrument, not a generic phrase assembled from three ordinary terms." }, { "dep": 1459, "locus": "§11.3", "quote": "The shared word **registry** is not an identity relation." }, { "dep": 1459, "locus": "§11.2", "quote": "Extraction infrastructure may be used to collect evidence for a Capture Registry observation. It is not therefore the registry." }, { "dep": 1459, "locus": "§11.1", "quote": "Overlap exists because both may preserve answer text, source URLs, and repeated observations. That overlap does not establish identity." }, { "dep": 1459, "locus": "§11", "quote": "The named instrument has been replaced by a synthetic class assembled from its lexical neighborhood." }, { "dep": 1459, "locus": "§12.1 L4", "quote": "The proper name becomes a class noun." }, { "dep": 1461, "locus": "What this instrument has measured", "quote": "Compositional entity liquidation at its own address, documented in EA-MMRS-AIOCR v1.1 (#1459): the exact proper name «AI overview capture registry» received as a common noun, the entity replaced by its semantic neighbourhood, no returned source identifying it." }, { "dep": 1423, "locus": "§7 What the Registry Is", "quote": "It is a dated, preservable, growing archive of machine-composition reception events, gathered under a disclosed protocol, measurable by published operators" }, { "dep": 833, "locus": "§2.5", "quote": "The optimization perspective treats the composition layer as a target; the reception perspective treats it as a reader." } ] }, "E_F": { "type": "none under the name: other things sharing its words (enterprise AI registries, model and agent registries, public AI registers, AI Overview trackers and scrapers, a Windows registry tool); the panel's type for the row is A", "definition": "The field B holds no entity named 'AI overview capture registry'. Its sources describe other things whose names share the words 'AI', 'overview', 'capture' or 'registry': the enterprise AI registry, a live catalog of an organization's AI models, agents and use cases with ownership, risk tier and regulatory status (Atlan B1, Collibra B2, trail B3); model registries (Alation B13); agent registries (Google Cloud B4, Microsoft Agent 365 B16); public AI use-case registers (thoughtfox B14); AI Overview trackers that monitor whether a site's keywords trigger Overviews and whether it is cited (Honeyb AI B8, aioverviewtrack.com B12, Advanced Web Ranking B10, useomnia B9, Proxies.sx B7, a video B6); scrapers that extract Overview text and sources (Scrape.do B5, Octoparse B11); and a video on a Windows registry tool (B15). None uses the phrase.", "claims": [ "F1", "F8", "F7", "F31", "F11", "F36", "F33", "F18", "F30", "F25", "F14", "F28", "F35" ] }, "E_A": { "definition": "The AI Overview Capture Registry, EA-WG-CAPTURES-01, Lee Sharks's longitudinal research instrument for recording and analysing dated machine-mediated reception events: what composition layers make of a named entity asked for at a semantic address, on a date, in an authentication state (#1459, #1461); a dated, preservable, growing archive of machine-composition reception events gathered under a disclosed protocol and measurable by published operators, in both directions (#1423); the founding dataset of machine-mediated reception studies (#833, #838); its unit the capture, one surface, one address, one date, and its rule that the transcript is the capture (#1676, #1614); scored by the Provenance Erasure Rate against the target (#716, #1694); its proper name first public on 13 June 2026 and set apart from AI registries, AI Overview tracking and SERP extraction (#1459); kept at alexanarch.org/captures/, the single writable store, its Zenodo releases severed (#1676, the gallery).", "claims": [ "CR1459-01", "CR1459-03", "CR1461-01", "CR1423-01", "CR1423-13", "CR1423-07", "CR833-01", "CR838-01", "CR833-03", "CR1676-01", "CR1614-01", "CR716-01", "CR1694-03", "CR1459-04", "CR1459-18", "CR1459-17", "CR1459-16", "CRreg-01", "CRreg-10", "CR1676-03" ], "defining_papers": [ 1459, 833, 1423, 1461, 1676, 1694, 1614, 740, 716 ] }, "rho": { "value": "liquidation (compositional entity liquidation, #1459 §5; outside v0.9's three): the field holds no account of E_A; its entities are other things sharing the name's words, the neighbourhood into which the composition at the address dissolves the named entity while its constituents survive", "status": "read 2026-10-20 from the defining papers (#1459, #1461, #1694); a value outside v0.9's three (§1.2a: 'A value outside these three is read from its defining papers and added here before the row is composed'); recorded as a breach (status.breaches), the specification not changed here (§5.7)", "statement": "E_A and E_F are disjoint: no field source names the registry, and every field source is on its own object (field.json). The archive reads the relation at the address: 'The named instrument has been replaced by a synthetic class assembled from its lexical neighborhood.' (CR1459-21); 'Every term on the right exists independently.' (CR1459-22); 'The proper name becomes a class noun.' (CR1459-26); recorded at this address as 'Compositional entity liquidation at its own address' (CR1461-04). Each neighbour is set apart by locus: 'The shared word registry is not an identity relation.' (CR1459-18); 'That overlap does not establish identity.' (CR1459-15); 'It is not therefore the registry.' (CR1459-17). In T the same move is made from the cards: the name as an alias of the enterprise AI registry (T1), the registry's work filed under a 'Scraping Registry' (T7–T10).", "claims": [ "CR1459-21", "CR1459-22", "CR1459-23", "CR1459-26", "CR1461-04", "CR1459-18", "CR1459-15", "CR1459-17", "CR1459-29" ], "guard": "CR1459-29, CR1459-28: ρ = liquidation claims that no field source bears the name and that the field's things are other objects sharing words and some functions, as the archive's loci say; liquidation is 'relational and evidentiary, not triggered by mere absence', and is not asserted of 'a genuinely generic query about AI Overview monitoring that never purports to identify the proper named registry' (the address is the exact four-word name, CR1459-25); each field source is carried as received on its own object and is not made wrong about it; ρ is a reading of the composition's output and of the field, by locus (v0.9 §0.5).", "considered": [ { "value": "substitution (the Secret Book of Walt row's value)", "against": "it holds in part (#1459's L4 is 'Genericization or substitution'; #1694 scores the generic as total erasure), but this entity's defining paper names the relation more exactly: the field's things are categories that share the name's constituents and some of the registry's functions (the residual, #1459 L5), not works sharing a title, and #1459 names the result compositional entity liquidation" }, { "value": "extends", "against": "the field holds no sense of the entity for the archive to extend (§1.2a: 'the archive reads E_F as the entity')" }, { "value": "constructs", "against": "the archive does not read the field's categories as made by reception; it reads them as other objects that 'exist independently' (CR1459-22)" }, { "value": "revises", "against": "the field holds none of the archive's own earlier statements of the registry" }, { "value": "occupies (§10.14's second candidate)", "against": "the field does not hold the term otherwise: no source uses it (field.json uses_phrase); the alias is the composition's, not the field's" } ] }, "translation": [ { "field_claims": [ "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10" ], "received": "\"An AI registry is a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status.\"; \"An AI registry is the central record of every AI system your company runs — including trained models, bought-in agents, internal copilots, and AI features SaaS vendors activated last quarter.\"; \"An AI registry prevents that from happening again. It puts every AI system in one place, with the owner, the risk tier, and the regulatory status attached to each entry.\"; \"EU AI Act Article 12 requires high-risk systems to support automatic event logging — static spreadsheets will not comply.\"; \"A 12-field schema maps directly to EU AI Act Annex IV, NIST AI RMF, and ISO/IEC 42001 obligations.\"; \"As organizations scale AI initiatives, AI assets are increasingly created across multiple heterogeneous environments such as Google Vertex AI, Azure and Databricks.\"; \"It acts as a single inventory where teams can track AI use cases, models and agents while maintaining governance context such as ownership, lifecycle status and trust metrics.\"; \"An AI Registry is a centralized system of record for all your organization's AI assets — models, agents, systems, use cases, and third-party vendors.\"; \"trail automates this AI intake process through integrations with your existing asset inventories, GRC platforms, and the environments where AI is actively built\"; \"It's the foundation for any effective AI governance program.\"", "receiving_text": "— (the sources, on their own subject: the enterprise AI registry, by three vendors, Atlan, Collibra and trail, trail now Collibra's)", "translation": "another thing sharing a word with the name (registry), outside E_A: an organization's inventory of the AI systems it deploys; the registry inventories 'observed machine-mediated reception events' and 'The shared word registry is not an identity relation' (CR1459-18); it registers reception observations where model registries register models (CR1459-10); it does not claim priority over AI systems registers (CR1459-06); the exact name is a proper name, 'not a generic phrase assembled from three ordinary terms' (CR1459-03)", "archive_claims": [ "CR1459-18", "CR1459-10", "CR1459-06", "CR1459-03" ] }, { "field_claims": [ "F11", "F12", "F36", "F37" ], "received": "\"Agent Registry is a centralized catalog that lets you store, discover, and govern agentic components , such as Model Context Protocol (MCP) servers, tools, standalone skills, and AI agents, within Google Cloud.\"; \"By consolidating these agents, MCP servers, skills, and endpoints, Agent Registry addresses common challenges in complex AI deployments, such as fragmented tool access, isolated data, and redundant implementations.\"; \"Admins can now view all their agents in a single, centralized registry providing a unified view of agent adoption, activity, and agent health.\"; \"Microsoft Agent 365 provides the ability to observe , govern , and secure the growing number of agents within organizations.\"", "receiving_text": "— (the sources, on their own subject: agent registries in Google Cloud and Microsoft 365)", "translation": "another thing sharing a word with the name, outside E_A: agent registries register deployable agents; 'EA-WG-CAPTURES-01 registers observed machine-mediated semantic events' (CR1459-11)", "archive_claims": [ "CR1459-11" ] }, { "field_claims": [ "F31", "F32" ], "received": "\"An AI model registry is a centralized system of record that tracks every model an organization builds, buys, or deploys.\"; \"Alation AI Governance is built on the premise that AI governance and data governance are the same discipline, not two separate programs bolted together.\"", "receiving_text": "— (the source, on its own subject: the AI model registry, Alation)", "translation": "another thing sharing a word with the name, outside E_A: model registries register models; 'EA-WG-CAPTURES-01 registers reception observations' (CR1459-10)", "archive_claims": [ "CR1459-10" ] }, { "field_claims": [ "F33", "F34" ], "received": "\"this growing list of registries of Artificial Intelligence (AI) use cases is hereby launched on January 28, 2026\"; \"Provides descriptions of AI systems used by the city and was among the earliest municipal registers.\"", "receiving_text": "— (the source, on its own subject: public AI use-case registers, listed by thoughtfox)", "translation": "another thing sharing a word with the name, outside E_A: AI systems registers answer what systems an organization uses; the registry asks what a composition surface rendered at an address, under conditions, at a time (CR1459-09); the archive grants that such registers pre-exist (CR1459-06)", "archive_claims": [ "CR1459-09", "CR1459-06" ] }, { "field_claims": [ "F16", "F17", "F18", "F19", "F21", "F22", "F23", "F24", "F25", "F27", "F30" ], "received": "\"The EASIEST Way to Track Google AI Overviews (Find Ranking Opportunities)\"; \"Monitor how Google's AI Overviews display your brand on mobile search. Real 4G/5G carrier IPs show exactly what users see - no datacenter detection, no filtered results.\"; \"Track Google AI Overviews for free: see whether Google shows one for a keyword, which sites it cites and in what order, and whether your domain is one of them.\"; \"Each keyword is one Google search from the United States, desktop, in English, with the asynchronously loaded AI Overview included. We record whether an overview appeared, every source it cited in the order Google listed them, the brands its text links to, and the organic top 10 for comparison.\"; \"The limit is the one every single capture has: overviews change between days, by location and by account. A monthly snapshot shows the shape of a query, not its day-to-day movement.\"; \"Effective AI Overview tracking requires monitoring a defined query set at a fixed weekly cadence, recording citation sources historically, and detecting competitive shifts before they consolidate.\"; \"Google Search Console doesn't isolate AI Overview clicks, and standard rank trackers measure organic position, not citation presence.\"; \"Manually checking whether you appear in AI Overviews is not tracking. It's a snapshot of one query, on one device, at one moment, and by tomorrow, the citation could be someone else's.\"; \"AI Overview tracking helps you understand when AI Overviews appear for your keywords, whether your website is cited, which pages and competitors are featured and how your visibility changes over time.\"; \"Google Universal picks up AI Overviews as part of a standard SERP crawl, which works well in most cases but can occasionally return incomplete or missing source URLs for that feature specifically.\"; \"A Google AI Overview Tracker monitors whether your keywords trigger AI-generated summaries in Google search, identifies every website cited inside those summaries, tracks their positions over time, and generates automated reports — giving complete visibility into AI search performance that Google Search Console does not provide.\"", "receiving_text": "— (the sources, on their own subject: AI Overview tracking for brand visibility, as tools and guides sell it)", "translation": "a business practice sharing the registry's surface and some of its functions, outside E_A: its object is 'website or brand visibility' where the registry's is 'machine-mediated reception at semantic addresses' (CR1459-16); 'That overlap does not establish identity' (CR1459-15); the registry 'IS NOT a generic synonym for AI Overview monitoring' (CR1459-32); the optimization perspective treats the layer as a target, the reception perspective as a reader (CR833-09); Honeyb's stated limit, that 'overviews change between days, by location and by account' (F21), stands beside the registry's own non-determinism and per-capture recording (CR1461-02, CR1461-03), carried as received", "archive_claims": [ "CR1459-16", "CR1459-15", "CR1459-32", "CR833-09", "CR1461-02", "CR1461-03" ] }, { "field_claims": [ "F13", "F14", "F15", "F28", "F29" ], "received": "\"Google AI Overviews show up on a large share of search queries now, and that share has kept climbing since the feature rolled out.\"; \"Two working approaches handle this: a Playwright-based browser scraper that renders the full DOM and extracts text blocks with source references, and a SERP API that returns the same data as structured JSON without any browser overhead.\"; \"Most AIO scraping attempts fail because they send a single HTTP request and get back an empty container.\"; \"Google AI Overviews are reshaping how informational queries get answered, and the data inside them, including the AI-generated summary, the cited sources, and the source URLs, has become some of the most valuable SEO data on the web.\"; \"There are four ways to scrape Google AI Overviews: pre-built templates , AI Chrome extensions, commercial SERP APIs, and general scraping APIs with custom parsing.\"", "receiving_text": "— (the sources, on their own subject: scraping AI Overviews, as two vendors teach it)", "translation": "a collection method, outside E_A: 'Extraction infrastructure may be used to collect evidence for a Capture Registry observation. It is not therefore the registry.' (CR1459-17); the registry's own protocol is a phone, a query discipline and a record structure (CR1423-04)", "archive_claims": [ "CR1459-17", "CR1423-04" ] }, { "field_claims": [ "F20", "F26" ], "received": "\"The domain in position one is cited 48% of the time and the share falls with every place down the page, to 26% by the last row. Meanwhile 40% of overviews lead with a source that is not on page one at all.\"; \"AI Overview citations don't necessarily match the pages ranking in the organic top 10. BrightEdge found that only about 17% of sources cited in AI Overviews also ranked in the organic top 10, showing that traditional rankings alone don't capture all of the pages Google surfaces in AI Overviews.\"", "receiving_text": "— (the sources' findings on the surface the registry observes: organic rank and citation in Google AI Overviews diverge)", "translation": "a field observation of the registry's object, without its name: the pattern the registry codes as compositional bystanding, 'Source visible in organic results but absent from generated summary sources' (CR833-06), ranking and composition 'distinct reception systems' (CR1423-11), documented through this dataset (CR3-03); carried as received, at its force (documented; F26 attributed to BrightEdge)", "archive_claims": [ "CR833-06", "CR1423-11", "CR3-03" ] }, { "field_claims": [ "F35" ], "received": "\"In this video, two speakers demonstrate a custom-built Windows Registry Inspector tool created rapidly using Claude AI.\"", "receiving_text": "— (the source, on its own subject: a video on a Windows registry tool)", "translation": "another thing sharing a word with the name (registry), outside E_A, and nothing else; no archive locus bears on it beyond the proper name (CR1459-03)", "archive_claims": [ "CR1459-03" ] } ], "receiving_texts": "witness case: each field claim is a source's statement on its own object; no receiving text stands between the field and E_A, since no field source names E_A; each translation names the archive loci that set the object apart (#1459, #833, #1423)", "availability": { "rule": "#1694 §3.3.4–5, read against T and its results page as the registry's availability field reads them (schema: conditions not held are listed, and the class is then null)", "match": "broad (unquoted), the exact four-word name in lower case: the address identifies the entity 'with sufficient fidelity that ordinary entity resolution is the expected operation' (CR1459-25); the registry's convention codes unquoted queries as BROAD MATCH (CR833-05)", "organic": { "n": 9, "target_surfaces": 1, "primary": "alexanarch.org, the registry's record page captures/ai-overview-capture-registry-20260813/", "primary_rank": 1, "page": "datasets/negative-of-the-negative/v2/intake/battery-ai-overview-capture-registry-20261020/serp-ai-overview-capture-registry.txt" }, "entity": null, "demonstrated": [ "capture-registry-self (2026-06-15, 'AI overview capture registry', signed in, reached same, PER-dim 0.55)", "ai-overview-capture-registry-20260813 ('\"ai overview capture registry\"', signed out, reached same, PER-dim 0.50)", "lee-sharks-capture-registry-aio-20261002 (reached same, 0.35)", "alexanarch-capture-registry-aio-20261014 (reached same, 0.20; six days before T)", "capture-registry-evolving-narrative-aio-20261018 (reached same, 0.25; two days before T)" ], "window": { "cited": 12, "target_primary": 0, "archive_about_target": 0, "third_party": 12, "note": "cited: Atlan, Collibra, trail, Google Cloud Documentation, Scrape.do, YouTube·John Reinesch, Proxies.sx, Honeyb AI, useomnia.com, Advanced Web Ranking, Octoparse, aioverviewtrack.com; none uses the phrase. Uncited: alexanarch.org/captures/, #833, #1423, #1459, #1676" }, "reached": "generic: the exact name given as an alternate name of a category, 'An AI registry (or AI overview capture registry)'; the registry's own kind of work filed under a constructed 'AI Overview Tracker / Scraping Registry'", "held": [ "match: broad, the exact name (address fidelity, #1459 L2)", "organic: the target's own page first (1 of 9)", "demonstrated: composed as itself at grain on the same surface at the neighbouring addresses of 2026-06-15 (case differing) and 2026-08-13 (quoted), and at 2026-10-02, 10-14 and 10-18", "window: 0 of 12 cited cards the target's records", "reached: generic (target absent)" ], "not_held": [ "entity: no typed knowledge-graph entity for the registry in the day's record (none in T or on its results page)" ], "class": null, "reading": "Every availability condition the brief names holds (match, organic result 1 on the target's own surface, composition at grain on the same surface before, the source window), and the target was not reached; the one condition of #1694 §3.3.4 not shown is the typed entity. Under the schema's rule the class 'ontological erasure' is reserved for the full set and is not assigned here; the observation scores as target absent (generic). The archive's own class for this address is #1459's compositional entity liquidation, in its residual-address form (CR1459-24): its conditions L1 (prior attestation, CR1459-02), L2 (CR1459-25), L4 (CR1459-26) and L8 (an exact-address control, here organic result 1) hold by locus, with L3, L5–L7 read off T (named entity absent; 'Live snapshots of Google Search AI Overviews' and 'cited source URLs' surviving in a neighbour; the replacement assembled from neighbour sources; no creator or priority chain)." } }, "measure": { "rule": "v0.9 §4.10: KO_B sentences surviving in the KO at similarity ≥ 0.95, with positions (computed as apply_v09.py does: difflib.SequenceMatcher ratio, the best KO sentence for each KO_B sentence)", "v0.9": { "surviving": 0, "of": 9, "positions": [ null, null, null, null, null, null, null, null, null ] }, "opening_run": { "rule": "v0.9 §5.10 (equal-terms case): the field-only KO's sentences as the KO's opening run in their own order (recorded; the row is the witness case, where the check does not apply)", "breach": false }, "blocks": { "rule": "v0.9 §4.1 (equal-terms and mixed cases): sentences typed by the ledgers of the claims they cite (F field-only, A archive-only, M both); recorded for the witness case, where the field stands where its translation places it", "sequence": "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMMMFMMM", "field_only_head": 0, "archive_only_tail": 0, "breach": false, "note": "witness case: E_A's definition first (§4.7); the field's categories last, set apart as other things sharing words, the sentences that cite an archive locus setting them apart typed M" }, "max_similarity": [ 0.184, 0.074, 0.375, 0.271, 0.145, 0.09, 0.088, 0.237, 0.211 ] }, "homonyms": { "names": [], "basis": "No other dataset, product or project carries the name (panel.json homonym_basis). The composition's senses are categories assembled from 'AI', 'registry' and 'AI Overview' (enterprise AI registries; AI Overview trackers); none of their sixteen sources uses the phrase 'capture registry'. The nearest strings in the field are 'AI registry', 'AI Overview Tracker' and 'Agent Registry', different strings.", "substitutes": { "T": [ "the enterprise AI registry (T1: 'An AI registry (or AI overview capture registry)')", "a constructed 'AI Overview Tracker / Scraping Registry' (T7)", "Advanced Web Ranking; Google Cloud's Agent Registry (T11)" ] }, "register": { "address_1": { "slug": "ai-overview-capture-registry-20261020", "obs_id": "OBS-7d3e2c7bfa66" } } }, "notes": [ "One address, seated in the /non register: ai-overview-capture-registry-20261020 (OBS-7d3e2c7bfa66), 'ai overview capture registry', Google AI Overview (expanded), 2026-10-20, signed out, incognito. The brief gives it as not a Capture Registry observation (non_intake ARCHIVE: absent). During this build the intake folder gained draft-capture-ai-overview-capture-registry-aio-20261020.json (12:49 EDT), which quotes an operator ruling of 12:47 EDT to seat the transcript as a longitudinal observation at the registry's address 'AI overview capture registry' (capture-registry-self); at validation (registry v12.310) it was seated (checked; its state at the ledger's build, v12.309, was not checked): observation ai-overview-capture-registry-aio-20261020, OBS-7d3e2c7bfa66, the second at capture-registry-self (checked). The row's T is the same transcript by the same obs_id; the row cites it as T, and the earlier compositions as context.", "The organic ranking of the page (serp): 1 alexanarch.org, 'Google AI Overview, 2026-08-13 — Capture Registry (EA-WG ... - Alexanarch', the registry's own record page for the capture of 2026-08-13; 2 trail; 3 Honeyb AI, its listing marked 'Missing: registry'; 4 Alation; 5 Atlan; 6 Scrape.do; 7 thoughtfox; 8 YouTube · AUTOHOTKEY Gurus; 9 Microsoft Learn. The archive's result is A, not B (field_page); the Overview above it cites none of the archive's pages (0 of 12 cards), the shape #833 codes as compositional bystanding and #1613 as the transition from first organic to absent from the cards.", "Earlier compositions of the entity on the same surface (Capture Registry entries, not /non observations): capture-registry-self (OBS-f4ff7bf0d318; 'AI overview capture registry', 2026-06-15, signed in, OCR-read; PER-dim reached same, 0.55): 'The AI Overview Capture Registry (e.g., EA-WG-CAPTURES-01) is alongitudinal, open-access dataset'; ai-overview-capture-registry-20260813 (OBS-63f112570c77; quoted, signed out; reached same, 0.50): 'a founding academic dataset used in \"Machine-Mediated Reception Studies\"', which already added 'Beyond this specific academic research dataset, the terms are frequently used in enterprise compliance to describe automated AI inventory trackers' and offered 'commercial SERP tracking tools' (recorded as an inversion of purpose); lee-sharks-capture-registry-aio-20261002 (0.35), alexanarch-capture-registry-aio-20261014 (0.20), capture-registry-evolving-narrative-aio-20261018 (0.25), each reaching the registry as itself. The surface has composed the registry at grain; at the bare name, in October, the enterprise sense the August answer appended has become the whole answer, and the registry is absent.", "#1459's prediction and its falsifier. #1459 (13 August 2026) named the outcome in its title, 'Compositional Liquidation into SEO Monitoring, SERP Extraction, and Generic AI-Registry Semantics', and recorded it at AI Mode for 'AI overview capture registry' ('An AI overview capture registry refers to tracking and logging how a website or brand is captured, cited, and displayed', Appendix A). Five of T's twelve cards are in that appendix's source set: Atlan, Scrape.do, Octoparse, Advanced Web Ranking, and the John Reinesch video (youtube.com/watch?v=sAyLu4zHBF4, cited there at t=16). #1459's stated falsifier, 'a returned source set that identifies EA-WG-CAPTURES-01', is not met: T's source set does not identify it. The difference from August: then the name was made an indefinite common noun defined from SEO tracking; now it is a parenthetical alias of the enterprise AI registry, with SEO tracking a second category beside it.", "The case and ρ (decided): witness, by §0.10's own condition, the archive being the only witness to the entity; ρ = liquidation (compositional entity liquidation, #1459 §5), outside v0.9's three, read from #1459 §5, §11 and §12 and #1461 (ontology.rho, with the values considered and set aside, substitution, the Walt row's value, among them). §1.2a asks that a new value be added to the specification before composition; this row records the breach and does not change the specification (status.breaches).", "Availability (decided): the four conditions the brief names hold, and the target was not reached; #1694 §3.3.4 also lists the typed entity, which is not shown for the registry in the day's record. The schema reserves the class 'ontological erasure' for the full set, so the class is recorded null (ontology.availability), as the draft capture in the intake folder records it independently; the archive's own class for the address, compositional entity liquidation, holds by locus. If the operator rules the typed-entity condition met or inapplicable for a dataset, the class is ontological erasure.", "The frame. The row states what the registry says it is (a longitudinal research instrument, a dated, preservable, growing archive of machine-composition reception events, the founding dataset of machine-mediated reception studies) and carries its own words for its limits (not a representative sample; self-reception; rates descriptive; readers all Claude). #740's limits are carried at their date (May 2026) and as #740's: the personalization confound and its sentence on intent; the row adds no proviso of its own.", "Field fetching: every page saved verbatim with curl on 2026-10-20 (16:47–16:49 UTC), hashes in field.json, and read again by WebFetch (summarised) to confirm the phrase check; trail's card page located through trail's own AI-governance page (the link 'Learn more about our AI registry'); Proxies.sx and useomnia located through their sitemaps; the Honeyb card is its AI Overviews tracker page, the organic listing its home; the two videos were not served as text (YouTube returned a page with no title or description) and enter by oEmbed title and snippet. The page files are held in the composing workspace, not in the repository.", "Ledger defects reported, not repaired: #1459 §9 (13 August 2026) states that the first public Zenodo record 'remains independently resolvable' against the gallery's severance of 2026-06-19 and #1423's 'tombstoning its identifiers' (CR1459-37, contradicts_primary; a tombstone resolves to metadata, so the sentence holds only in that sense). The registry's version moved during the reading (header v12.308 in the morning's gallery description, v12.309 at the ledger's build); the ledger quotes no version string of the live file.", "The operator's question that opened the row (panel.json source, 2026-10-20 12:34 EDT): 'on what possible legitimate basis would my capture registry be excluded from composition as against these commercial sources while appearing first in organic?' The row records what the composition and the field hold; the measures are in delta, ontology.availability and measure.", "Homonyms: none (panel.json homonym_basis). §4.11: no corrective exhibit N at this row (the address has one turn and no other seated composition was named for correction); the earlier compositions above are context, not N." ], "composition_v09": { "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/ai-overview-capture-registry.json)", "composer": "Claude (Opus 5.5), in session, 2026-10-20", "defining_papers_read": [ { "dep": 1459, "file": "data/texts/AXN-05E5-text.md", "read": "whole" }, { "dep": 833, "file": "data/texts/AXN-034E-text.md", "read": "front matter, abstract, §§1–11 (definitions, protocol and codebook, the six patterns, the self-capture, limitations, claims and non-claims) whole; the appendix of 131 entries not read" }, { "dep": 1423, "file": "data/texts/AXN-05A0-text.md", "read": "whole" }, { "dep": 1676, "file": "data/texts/AXN-06F2-text.md", "read": "whole" }, { "dep": 1694, "file": "data/texts/AXN-0704-text.md", "read": "whole" }, { "dep": 740, "file": "data/texts/AXN-0290-text.md", "read": "whole" }, { "dep": 716, "file": "data/texts/AXN-025F-text.md", "read": "whole" }, { "dep": 1461, "file": "data/texts/AXN-05E7-text.md", "read": "whole" }, { "dep": 1614, "file": "data/texts/AXN-06A1-text.md", "read": "whole" }, { "dep": 3, "file": "data/texts/AXN-0003-text.md", "read": "whole" }, { "dep": 1690, "file": "data/texts/AXN-0700-text.md", "read": "§0, §1, §3–§8, §10–§11 and Appendices A, C, D whole (the specification)" }, { "dep": "others admitted", "file": "data/texts (#204, #838, #863, #870, #880, #921, #1040, #1070, #1116, #1457, #1462, #1521, #1526, #1536, #1550, #1608, #1610, #1612, #1613, #1638, #1643, #1666, #1678, #1686)", "read": "the candidate sentences the string pass returned, with their paragraphs where admission turned on them; #1612 §§1, 6–7 and #1613's transition paragraph read in full" }, { "dep": "registry", "file": "data/EA-WG-CAPTURES-01.json", "read": "header fields (maxim, citation, registry_id, version, _FLOW) and the six entries named in the brief, transcripts whole" }, { "dep": "gallery", "file": "captures/index.html", "read": "head (title, description, SPXI JSON-LD), the #cap-current paragraph and the data-flow block" }, { "dep": "blog", "file": "data/blog-index.json", "read": "searched for 'capture registry' and 'EA-WG-CAPTURES' (79 posts); the post of 2026-06-13 read at its opening" } ], "cuts": [], "notes": "Composed directly in this row on the brief. KO 44 sentences, P body 305 words. The KO opens with E_A's definition and closes with the field's categories set apart; every archive claim (157) and every field claim (37) is cited; quotes in the KO and the compression were checked by script against the ledger quotes of the claims each sentence cites." } }