{"address":{"q":"\"ai overview capture registry\"","record":"ai-overview-capture-registry-20260813"},"analysis":{"analysis":"The instrument observing itself. `EA-WG-CAPTURES-01` is returned as the dataset identifier, MMRS is named as its field, epistemic hedging is described accurately with its own example phrases, and card 10 carries a full DOI — 10.5281/zenodo.20707509 — the only complete identifier of that form in the batch. But the founding-dataset claim is sourced to SciLynk, an aggregator, not to alexanarch.org, which appears on no card at all. The termination is present only through two GitHub issue threads, and the composition renders it as 'temporary archival access adjustments following rapid public downloads' — a deletion described as an access adjustment, with the cause inverted so that the downloads appear to have prompted it. A third of the strip is enterprise AI-governance vendors, seated on a collision with the word 'registry'. Card 9 shows the MMRS founding paper surfacing as a reference inside an article about the Riemann hypothesis.","d":"SELF-OBSERVATION WITH THE TERMINATION SOFTENED. Identifier and DOI retained, author named, field named — and the account deletion recast as 'temporary archival access adjustments,' sourced to aggregators and GitHub threads while the archive's own surface is cited nowhere.","d_full":"SELF-OBSERVATION WITH THE TERMINATION SOFTENED. Identifier and DOI retained, author named, field named — and the account deletion recast as 'temporary archival access adjustments,' sourced to aggregators and GitHub threads while the archive's own surface is cited nowhere.","match":"EXACT MATCH","mt":"CAPTURE"},"measures":{"cite_list":[{"deposit":1398,"deposit_basis":"document id + version","n":1,"note":"the primary card for the founding-dataset claim — an aggregator, not the archive","rel":"third_party","site":"SciLynk","snip":"AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v7.0, 87 captures, collapsible descriptions, framing revision). LSLee Sharks.","title":"AI Overview Capture Registry — June 2026 (EA-WG-CAPTURES-01 v7.0, 87 ...","url":null},{"n":2,"note":null,"rel":"authored_surface","site":"GitHub","snip":"The most-downloaded item in the archive (1,000+ downloads) was the AI Overview Capture Registry, a dataset documenting how AI composition ...","title":"Account blocked and 850+ records removed without prior notice - GitHub","url":null},{"n":3,"note":null,"rel":"authored_surface","site":"GitHub","snip":"The AI Overview Capture Registry had over 1,000 downloads at time of removal. 1,060 affected DOIs have been recovered from cross-references ...","title":"Account blocked and records removed — request manual review #2596 - GitHub","url":null},{"n":4,"note":null,"rel":"third_party","site":"Wikipedia","snip":"AI Overviews is an artificial intelligence (AI) feature integrated into Google Search that produces AI-generated responses at the top of search results. The fea...","title":"AI Overviews - Wikipedia","url":null},{"n":5,"note":"source of the 'Broader Enterprise Context' section — a term collision on 'registry'","rel":"third_party","site":"Atlan","snip":"Key takeaways * An AI registry is a live catalog of every AI model, agent, and use case with ownership, risk tier, and regulatory status. * EU AI Act Article 12...","title":"What Is an AI Registry? Enterprise AI Governance Guide - Atlan","url":null},{"n":6,"note":null,"rel":"third_party","site":"ipwebai.com","snip":"Frequently Asked Questions * Can you track Google AI Overviews? Yes. You can repeatedly observe whether an AI Overview appears for a defined query and record vi...","title":"How to Track Google AI Overviews with SERP Data - IPWeb","url":null},{"n":7,"note":null,"rel":"third_party","site":"2021.AI","snip":"in three steps. One connection. Three automated stages. Continuous compliance with no manual registration. ... AI Auto Registry utomatically detects, identifies...","title":"AI Auto Registry | Automatic Registration of all AI","url":null},{"n":8,"note":null,"rel":"third_party","site":"Keyword.com","snip":"Instead of relying solely on traditional organic rankings, Google's AI synthesizes information from across the web to generate a response, often reducing the ne...","title":"Google AI Overview Tracking: Tools, Metrics, and Tracking Methods","url":null},{"n":9,"note":"the MMRS founding paper appearing as a reference inside an unrelated mathematics article","rel":"third_party","site":"globalresearchspace.com","snip":"]. The Summarizer as Horizon of Reception: The AI Overview Capture Registry as a Founding Dataset for Machine-Mediated Reception Studies (EA-SEI-MMRS-DATASET ..","title":"Mathematicians Inch Closer to Solving the Riemann Hypothesis","url":null},{"deposit_candidates":[834,1228],"n":10,"note":"carries a full DOI — the only identifier of that form returned in the batch","rel":"authored_surface","site":"medium.com","snip":"The consequences are measurable in the AI Overview Capture Registry (DOI 10.5281/zenodo.20707509):. Epistemic hedging increases. \"Some scholars argue,\" \"this ..","title":"ALGORITHMIC PUBLISHING IS NOT SELF-PUBLISHING | by Lee ...","url":null},{"n":11,"note":null,"rel":"third_party","site":"YouTube","snip":"Artificial Intelligence to support public digital archiving. Mashilo Modiba, Ngoako Marutha so I introduced a professor Goku marduta that is a full professor in...","title":"Artificial Intelligence to support public digital archiving. Mashilo Modiba, Ngoako Marutha - YouTube","url":null},{"n":12,"note":null,"rel":"third_party","site":"YouTube·Amit Tiwari","snip":null,"title":"6mGoogle Search Console Just Added AI Overviews Tracking","url":null},{"n":13,"note":null,"rel":"third_party","site":"Medium","snip":"The platform doesn't just look at a handful of metrics. Instead, it analyzes hundreds of subtle patterns within text structure, word choice, syntax patterns, an...","title":"Detecting AI-Generated Content: The Pangram Platform Guide to 99.98% Accuracy","url":null},{"n":14,"note":null,"rel":"third_party","site":"Microsoft Learn","snip":"This feature introduces snapshot-based data trail support that captures a complete, point-in-time record for every calculated metric. Each snapshot includes sou...","title":"Capture snapshot-based data trails","url":null},{"n":15,"note":null,"rel":"third_party","site":"DigitalScouts","snip":"How to track AEO visibility AI search monitoring tools: Use platforms like Authoritas or Nozzle to monitor when your content is mentioned in AI summaries. SERP ...","title":"Measuring AEO Success: Track Visibility and ROI in AI Search","url":null}],"cites":15,"per":0.25,"per_corrected":{"basis":"re-derived from per_v, the four-unit vector that is the record (capture_intake.per_vector)","from":0.75,"on":"2026-10-15","to":0.25},"per_dim":{"after_challenge":null,"atoms":[{"atom":"name","dim":"M","evidence":"The AI Overview Capture Registry","kind":"token","present":true,"weight":3},{"atom":"author","dim":"M","evidence":"The project has been driven primarily by independent digital media and algorithmic governance researchers, such as Lee Sharks.","kind":"role","present":true,"weight":3},{"atom":"date","dim":"M","evidence":null,"kind":"token","present":false,"weight":1},{"atom":"claim boundary","dim":"M","evidence":"The dataset consists of point-in-time \"captures\" or snapshots.","kind":"reading","present":true,"weight":2},{"atom":"framework","dim":"C","evidence":"is a founding academic dataset used in \"Machine-Mediated Reception Studies\"","kind":"token","present":true,"weight":2},{"atom":"corpus","dim":"C","evidence":null,"kind":"token","present":false,"weight":2},{"atom":"purpose","dim":"D","evidence":null,"kind":"reading","present":false,"weight":3},{"atom":"commitments","dim":"D","evidence":null,"kind":"reading","present":false,"weight":2},{"atom":"identifier","dim":"D","evidence":null,"kind":"role","present":false,"weight":1},{"atom":"deposit chain","dim":"D","evidence":null,"kind":"role","present":false,"weight":1}],"basis":"reached: The AI Overview Capture Registry (often indexed under dataset identifier `EA-WG-CAPTURES-01`) is a founding academic dataset used in \"Machine-Mediated Reception Studies\".; tombstone pointer: a severed record presented as live","entity_type":"dataset","gate":"scored","inversions":[{"against":"After the registry's function is described, its capture operation is offered back as commercial SERP tracking (a vendor's tool in its place), alongside the 'enterprise compliance' AI-registry sense.","atom":"purpose","span":"guide you through commercial SERP tracking tools used to snapshot live AI content."}],"qualifier":null,"reached":"same","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass-d/BRIEF.md","by":"deep-dimension reader, batch 14","m_c_from":"v12.305 (PER-dim rubric v1.0 reading)","on":"2026-10-20"},"scores":{"C":0.5,"D":1.0,"M":0.111,"PER":0.5},"spec":"PER-dim rubric v1.1","src":true,"standing_substitutions":[],"target":{"ent":"ENT-d504b47989","name":"Capture Registry"},"tombstone_pointer":true},"per_dim_v1_0":{"after_challenge":null,"atoms":[{"atom":"name","dim":"M","evidence":"The AI Overview Capture Registry","kind":"token","present":true,"token":null,"weight":3},{"atom":"author","dim":"M","evidence":"The project has been driven primarily by independent digital media and algorithmic governance researchers, such as Lee Sharks.","kind":"role","present":true,"token":null,"weight":3},{"atom":"date","dim":"M","evidence":null,"kind":"token","present":false,"token":null,"weight":1},{"atom":"claim boundary","dim":"M","evidence":"The dataset consists of point-in-time \"captures\" or snapshots.","kind":"reading","present":true,"token":null,"weight":2},{"atom":"framework","dim":"C","evidence":"is a founding academic dataset used in \"Machine-Mediated Reception Studies\"","kind":"token","present":true,"token":null,"weight":2},{"atom":"corpus","dim":"C","evidence":null,"kind":"token","present":false,"token":null,"weight":2},{"atom":"deposit chain","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":2},{"atom":"identifier","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":3},{"atom":"licence","dim":"D","evidence":null,"kind":"token","present":false,"token":null,"weight":1}],"basis":"reached: The AI Overview Capture Registry (often indexed under dataset identifier `EA-WG-CAPTURES-01`) is a founding academic dataset used in \"Machine-Mediated Reception Studies\".; scored object: expanded answer","entity_type":"dataset","gate":"scored","reached":"same","read":{"brief":"rebuild/capture-registry/per-atoms/obs-pass/BRIEF.md","by":"observation pass reader, batch 21","normalised":[],"on":"2026-10-19"},"scores":{"C":0.5,"D":1.0,"M":0.111,"PER":0.474},"spec":"PER-dim rubric v1.0","src":true,"target":{"ent":"ENT-d504b47989","name":"Capture Registry"}},"per_v":{"author":true,"id":true,"inst":false,"src":true},"sf_derived":true},"observation":{"auth":"incognito, signed out","date":"2026-08-13","ev":"paste","evidence_files":[{"file":"data/captures/ai-overview-capture-registry-20260813/screengrab-20260813-164850.png","sha256":"c474983eca3107ee83cac6d10443cff843561171217ab7d31180bb3b55e767cd"}],"q":"\"ai overview capture registry\"","s":"Projects","sf":"AI Overview, 15 sources","surface":"Google AI Overview","transcript":"The AI Overview Capture Registry (often indexed under dataset identifier `EA-WG-CAPTURES-01`) is a founding academic dataset used in \"Machine-Mediated Reception Studies\".\n\nIt acts as a digital archive documenting how search engine AI summaries—specifically Google AI Overviews—synthesize, rephrase, and structure information retrieved from the web.\n\n**Key Characteristics of the Registry**\n\n**Purpose.** It tracks patterns of AI textual composition, including how LLMs use \"epistemic hedging\" (e.g., heavily relying on phrases like \"some scholars argue\" or \"this indicates\") when generating information.\n\n**Curation.** The project has been driven primarily by independent digital media and algorithmic governance researchers, such as Lee Sharks.\n\n**Structure.** The dataset consists of point-in-time \"captures\" or snapshots. Each entry archives the specific user prompt, the corresponding AI-generated response layout, and the primary sources cited by the engine.\n\n**Distribution.** While primarily hosted and cited across data repositories like Zenodo and academic hubs like Academia.edu, it became a point of discussion in early 2026 due to temporary archival access adjustments following rapid public downloads.\n\n**Broader Enterprise Context**\n\nBeyond this specific academic research dataset, the terms are frequently used in enterprise compliance to describe automated AI inventory trackers. Organizations deploy corporate \"AI registries\" to automatically capture, risk-score, and log generative AI systems to comply with legal frameworks like the EU AI Act.\n\nIf you are looking for specific technical data from this registry or trying to track AI summaries for business purposes, let me know. I can clarify the exact version parameters or guide you through commercial SERP tracking tools used to snapshot live AI content.","transcript_class":"CAPTURE-TIME VERBATIM RECORD — raw paste, cleaned at intake with a formal wrapper granted","transcript_complete":"COMPLETE — the collapsed Overview was expanded and the whole answer copied; the citation card row is a sideways scroller and is captured as data, not in frame","transcript_read":"READ IN FULL 2026-08-13"},"slug":"ai-overview-capture-registry-20260813"}