{
 "entity": "awesome-geo-davidhuji",
 "name": "Awesome-GEO (DavidHuji)",
 "axn": {
  "axn": "AXN:0ABE.NON.🀄♆🔃🏰☿🍂",
  "root": "AXN:0ABE.NON",
  "hex": "0ABE",
  "family": "NON",
  "row_sha256": "8fa6de27a2783cfd236c1b417d8b600521ece46bc2d3e65cc4b7efd13b5882ce",
  "minted": "2026-10-29",
  "resolver": "https://www.alexanarch.org/s/axn/0ABE/",
  "earlier_versions": []
 },
 "type": "C (public entity: an aggregator of machine-mediated reception work)",
 "type_code": "C",
 "type_label": "type C — a conventional reading holds it (public entity: an aggregator of machine-mediated reception work)",
 "case": "equal",
 "composition": {
  "composer_class": "session",
  "composer": "Claude (Opus 5.5), subagent, 2026-10-29",
  "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/awesome-geo-davidhuji.json)",
  "spec": "EA-NEGONT-02 v0.9, #1690",
  "epoch": "2026-10-29",
  "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the MMRS record, the capture record and the deposits defining the archive's account of the class (#833, #1055, #661); archive selected by D/R/O (no deposit names the list: D 0, R 0; O-class on generative engine optimization research, sourced from B11, B3 and the MMRS record: 15 deposits of 56 candidates admitted, #653 by the hop of 230), with the MMRS record (25 claims) and the Capture Registry's findings, reading and analysis (7 claims) ledgered as the archive's records of the entity; the field B by three origins (10 cards for 10 sources, 1 own page, Wikipedia: no article for the entity, the class's article ledgered); the composer read the ledgers, never the transcript, except where the brief asks for T's claims and the delta",
  "ledger": "unaudited (§3.8: one extractor per ledger); field quotes 47/47 verified by script against saved text, oEmbed title or card text; archive quotes 62/62 verified verbatim against the registry, census.json, articles.py and the deposit texts; carried as marked: MMRS-04 contested (F11, F12), O61-01 and O1055-04 contested within the archive, O833-01 with a citation defect noted",
  "frozen": false,
  "composed": true
 },
 "reading": "A reader that fetches this page may stop short of its end; the entry's text, every sentence of its knowledge object with the claims it cites and each claim's quote, source and locus, is in entity.json beside it.",
 "service": {
  "name": "SPXI-gnΩsis",
  "url": "https://gnosis.spxi.dev/",
  "index": "https://gnosis.spxi.dev/v1/quote",
  "statement": "SPXI-gnΩsis opens pinned Wikipedia revisions sentence by sentence against the sources they cite (EA-WIKI-OPEN-01 v1.1, #1697); a commission consults the Crimson Hexagonal Archive by its own procedure and composes the entity's /non row, which lands here. Quotes are free: POST https://gnosis.spxi.dev/v1/quote with {oldid, tier: \"commission\"} or {object: {name, …}}."
 },
 "spxi_instrument": {
  "method": "0.16",
  "name": "The Negative of the Negative (/non)",
  "level": 0,
  "level_name": "Measurement",
  "url": "https://www.spxi.dev/methods/#m-0-16",
  "inventory": "https://www.spxi.dev/methods/",
  "statement": "SPXI instrument: method 0.16 of 87, level 0 (Measurement), The Negative of the Negative (/non).",
  "also": []
 },
 "citation": "Sharks, Lee. \"Awesome-GEO (DavidHuji) — The Negative of the Negative\" [AXN:0ABE.NON.🀄♆🔃🏰☿🍂], 2026-10-29. The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/awesome-geo-davidhuji/",
 "research": {
  "google": "https://www.google.com/search?q=Awesome-GEO+%28DavidHuji%29",
  "google_non": "https://www.google.com/search?q=%22Awesome-GEO+%28DavidHuji%29+%E2%80%94+The+Negative+of+the+Negative%22",
  "chatgpt": "https://chatgpt.com/?q=What+is+Awesome-GEO+%28DavidHuji%29%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.",
  "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CAwesome-GEO+%28DavidHuji%29+%E2%80%94+The+Negative+of+the+Negative%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+Awesome-GEO+%28DavidHuji%29%3F+Ground+your+answer+in+a+reading+of+the+entry+itself."
 },
 "entry": {
  "composed": true,
  "title": "Awesome-GEO (DavidHuji)",
  "genre": "knowledge object, equal case, under EA-NEGONT-02 v0.9 (#1690): the archive's sources and the field's admitted on equal terms, ontology included, in one claim space",
  "status": "composed 2026-10-29 under v0.9 (brief rebuild/negative-of-the-negative/v09/BRIEF-NEW-ROW-AGGREGATOR.md); not frozen; ledgers unaudited",
  "compression": {
   "title": "Awesome-GEO (DavidHuji)",
   "lede": "is a GitHub awesome list of research on generative engine optimization (GEO), maintained by DavidHuji (MMRS record; its README): about 27 papers, code, datasets and tools by year, 2024–2026, and open-source resources."
  },
  "sentences": [
   {
    "n": 1,
    "para": 0,
    "text": "Awesome-GEO is a GitHub awesome list of research on generative engine optimization maintained by DavidHuji (MMRS record), an \"Awesome list for research on GEO (Generative Engine Optimization)\" in its own README and on its repository's card, which the neighbouring amplifying-ai list names a \"Research-focused GEO paper collection\"; the MMRS record gives its kind as a curated list, its operator as DavidHuji (GitHub), its role in the census as optimization, and its unit as a paper, code, dataset or tool on generative engine optimization.",
    "claims": [
     "MMRS-01",
     "F2",
     "F1",
     "F19",
     "MMRS-08",
     "MMRS-07",
     "MMRS-12",
     "MMRS-09"
    ]
   },
   {
    "n": 2,
    "para": 0,
    "text": "It is a single README in the awesome-list form, its entries linked to paper, code, dataset or tool and grouped by year (MMRS record): the README's sections are 2026, 2025, 2024 and Open-Source Resources, about 27 entries with 123 stars when the MMRS record read it on 28 October 2026, and an entry such as C-SEO Bench (NeurIPS D&B 2025) carries its paper, code and dataset together; the MMRS record's disambiguation keys the list by DavidHuji, research papers by year and IF-GEO.",
    "claims": [
     "MMRS-02",
     "F6",
     "MMRS-10",
     "F10",
     "MMRS-20"
    ]
   },
   {
    "n": 3,
    "para": 0,
    "text": "Its newest entries are IF-GEO, on conflict-aware instruction fusion for multi-query generative engine optimization, and a study of rank manipulation for vision–language model rankers; under 2024 it lists the paper \"GEO: Generative Engine Optimization\" (arXiv 2311.09735), and across the years it carries attack, poisoning and ranking-manipulation research (adversarial attacks on LLM-based search engines, PoisonArena, StealthRank, adversarial search engine optimization) beside optimization studies (README).",
    "claims": [
     "F7",
     "F8",
     "F9"
    ]
   },
   {
    "n": 4,
    "para": 0,
    "text": "The README calls its field \"a niche area, which is increasingly receiving attention from the community\" and states its purpose and its limit: \"This awesome‑listing is an attempt to bring together works in this space. This list is not complete and looking for your PRs to improve it\"; the MMRS record counts fourteen pull requests listed when it read the repository.",
    "claims": [
     "F4",
     "F5",
     "MMRS-03"
    ]
   },
   {
    "n": 5,
    "para": 0,
    "text": "Among its open-source resources are tools that measure the composition layer: a client-side validator for GEO/AEO observation records that \"checks evidence completeness, citation-field consistency, timestamps, and duplicate run keys\", and AI Answer Check, which \"reports how often the engine agreed with itself, so a claim about what an AI \"says\" can be separated from run-to-run variance\" (README).",
    "claims": [
     "F14",
     "F13"
    ]
   },
   {
    "n": 6,
    "para": 0,
    "text": "The MMRS record places it as \"the research-side list of the optimization basin, kept without vendor notes\"; the README credits two of its open-source entries to the companies that built them (\"Built by [Corank]\", \"Built by [Assay]\"), lists a paper under its vendor's name (Rankfor.AI, 2026), and carries in its own text a resource entry's \"320% citation rate improvement\"; the two stand each with its source.",
    "claims": [
     "MMRS-04",
     "F11",
     "F12"
    ]
   },
   {
    "n": 7,
    "para": 1,
    "text": "The class it collects is defined by the list as \"a paradigm to aid content creators in improving their content visibility in generative engine responses through flexible optimization frameworks for optimizing and defining visibility metrics\", by Wikipedia's article on generative engine optimization as \"the practice of improving visibility in responses generated by generative artificial intelligence (AI) systems\", also called answer engine optimization and artificial intelligence optimization, and by its neighbouring lists as optimizing content \"to improve visibility and citations in AI-powered search engines\" (amplifying-ai) or \"to be discovered, cited, and recommended by AI-powered search engines\" (henu-wang), or, on aGEO's about page, as what SEO does for Google, done \"for AI\".",
    "claims": [
     "F3",
     "F41",
     "F20",
     "F24",
     "F32"
    ]
   },
   {
    "n": 8,
    "para": 1,
    "text": "The archive's SPXI ≠ GEO packet (#1055, July 2026) defines it as the industry practice, since about 2023–2024, \"of adapting web content to be preferentially selected, cited, and summarized by generative retrieval systems\", its measure of success the degree to which content is selected and cited and \"Its underlying discipline is search engine optimization applied to LLM ecosystems\"; Wikipedia records that the overlapping terms vary across practitioners, vendors and publications, \"with no consensus definition\".",
    "claims": [
     "O1055-01",
     "F43"
    ]
   },
   {
    "n": 9,
    "para": 1,
    "text": "The term was introduced in a 2023 paper by Pranjal Aggarwal and co-authors, later presented at KDD 2024 (Wikipedia), which henu-wang's list calls \"The foundational research paper from IIT Delhi, Princeton, and Georgia Tech\" and which #661 (April 2026) cites for \"the emerging GEO literature (Aggarwal et al., 2023; various industry practitioners, 2024–2026)\"; the concept first appeared as generative AI entered mainstream search and retrieval (Wikipedia), and #64 dates GEO's emergence in practitioner literature to late 2023 and its stabilization as a named practice to 2024, after Search Generative Experience and the AI Overview rollout.",
    "claims": [
     "F42",
     "F25",
     "O661-01",
     "F47",
     "O64-01"
    ]
   },
   {
    "n": 10,
    "para": 1,
    "text": "Its names are many: the amplifying-ai list gives AI Search Optimization, Answer Engine Optimization, Large Language Model Optimization, Generative AI Optimization, AI SEO and LLM SEO; Google's 2026 guide, as Wikipedia reports it, holds that \"optimizing for generative AI search is optimizing for the search experience, and thus still SEO\"; the archive reads Google's June 2026 guidance as naming without defining AEO/GEO, \"performing taxonomic capture of the emerging professional category\" (#791), and conditions the field's future two ways: a separate field with its own standards, measurement instruments and professional bodies, or a subset of SEO with Google's guidance canonical, \"structurally Google-centric even when serving non-Google surfaces\" (#791).",
    "claims": [
     "F18",
     "F44",
     "O791-01",
     "O791-02"
    ]
   },
   {
    "n": 11,
    "para": 2,
    "text": "The archive read the class in February 2026 as Phase 2 tooling: such services \"openly describe the summarizer layer as a writable surface and sell the tools to write it\", the consulting practices its phase model predicts, and their existence \"is empirical evidence that the writability of the summarizer layer is no longer a theoretical observation\" (#510); in June it named \"the entire SEO-to-GEO industry lineage\" the commercial expression of definition capture, the oldest front of the war over the summarizer layer, and summarizer optimization markets \"an explicit industry with its own acronyms, conferences, and pricing tiers\" (#172).",
    "claims": [
     "O510-01",
     "O510-02",
     "O172-02",
     "O172-03"
    ]
   },
   {
    "n": 12,
    "para": 2,
    "text": "At the layer, the archive gives GEO's target as \"Content extractability\" (#655, April 2026), says it \"optimizes content for AI summarizer extraction\" (#660) and, after its literature, that it is \"the practice of optimizing web content for extraction by AI summarizers\" (#661), and holds that it \"performs deterritorialization at the semantic layer — it pulls content off the page and into summarizer extraction\" (#670).",
    "claims": [
     "O655-01",
     "O660-01",
     "O661-01",
     "O670-02"
    ]
   },
   {
    "n": 13,
    "para": 2,
    "text": "On what extraction keeps, GEO agencies \"make your content more extractable without ensuring your attribution survives the extraction\" (#659), and GEO is \"the discipline of making one's compositional labor digestible for a system that will strip its provenance — voluntary formatting for the R2 compression regime\" (#64); GEO \"measures citation frequency\", and neither it nor SEO measures what happens to an entity's meaning when the AI compresses it (#653), while the efficacy of third-party GEO tools is debated in the field (Wikipedia) and the list's own tools validate citation fields and measure run-to-run variance (README).",
    "claims": [
     "O659-01",
     "O64-02",
     "O653-01",
     "F46",
     "F14",
     "F13"
    ]
   },
   {
    "n": 14,
    "para": 2,
    "text": "On what it does not do, #661 holds that GEO \"optimizes existing content about an existing entity\", with nothing to optimize where no authoritative source defines the entity, and that its techniques \"must be maintained as summarizer behavior evolves\"; #660 that it shares a substrate with SPXI (structured data, schema markup) and differs in object (content), permanence (ongoing) and layer (semantic).",
    "claims": [
     "O661-03",
     "O661-05",
     "O660-02"
    ]
   },
   {
    "n": 15,
    "para": 2,
    "text": "On its orientation, #670 holds that GEO, an optimization framework derived from the received view, improves \"the conditions under which content about entities is extracted for summarizer consumption\" and so inherits that view's misdescription, optimizing \"the wrong relation\", and #1055 that \"GEO is reception-side optimization that adapts content to receive favorable summarization by generative engines\": of the reception apparatus, \"GEO adapts to it\".",
    "claims": [
     "O670-01",
     "O1055-02"
    ]
   },
   {
    "n": 16,
    "para": 2,
    "text": "Of the research the list collects, whose entries run from IF-GEO to attack and poisoning studies (README), the Capture Registry's founding paper (#833, June 2026) writes that recent work on generative engine optimization studies how to optimize content for AI summarizers while its own study is of what summarizers do to content: \"The optimization perspective treats the composition layer as a target; the reception perspective treats it as a reader.\"",
    "claims": [
     "O833-01",
     "F7",
     "F9"
    ]
   },
   {
    "n": 17,
    "para": 2,
    "text": "The archive sets its own protocol beside the class in two statements that stand each with its source: SPXI \"contains Generative Engine Optimization methods as a proper subset, plus ontological-layer entity construction. Formally: SPXI ⊇ GEO\" (#61, April 2026), re-framing GEO, whose standard question is \"Is the AI summary accurate?\", as compression engineering (#72); and SPXI and GEO \"cannot coexist within the same compositional practice\" (#1055, July 2026).",
    "claims": [
     "O61-01",
     "O72-01",
     "O1055-04"
    ]
   },
   {
    "n": 18,
    "para": 2,
    "text": "The archive states the class's standing among its own limits: GEO \"is a legitimate and often effective practice\" that \"produces measurable improvements in AI Overview inclusion rates and citation frequency\" (#661), and #1055 \"Does not claim that GEO practitioners are unethical or that GEO as a discipline is illegitimate\", GEO being \"a coherent commercial-content-marketing discipline with its own successful practitioners and its own defensible target\".",
    "claims": [
     "O661-02",
     "O1055-03"
    ]
   },
   {
    "n": 19,
    "para": 2,
    "text": "In composition the class has acted as an attractor: the archive's protocol \"was repeatedly classified as generative engine optimization\", and \"the attractor is a commercial category with venture funding behind its corpus density\" (#172); and Claude's answer on the return question \"accepted the industry figures for a neighbouring field, generative engine optimisation, as the defensible part, without the independent case studies it required of the protocol\" (#1643).",
    "claims": [
     "O172-01",
     "O1643-01"
    ]
   },
   {
    "n": 20,
    "para": 2,
    "text": "The archive predicts (#172, June 2026, P3): \"Entity-integrity services emerge as a market category distinct from GEO by 2028\", with the falsifier that \"boundary-defense services fail to differentiate from the GEO category\".",
    "claims": [
     "O172-04"
    ]
   },
   {
    "n": 21,
    "para": 3,
    "text": "The name collides: Profound argues, in Wikipedia's account, that \"GEO\" can be confused with geography, and the MMRS record holds that the list's name \"collides with the many geospatial awesome lists, and the negative tag marks the difference\", the tag reading \"NOT a geospatial ('geo') awesome list\"; of the class itself the archive holds that GEO \"does not include mechanisms for declaring what an entity is not\" and has no tool for correcting, at the ontological level, a summarizer's confusion of two entities with similar names (#661).",
    "claims": [
     "F45",
     "MMRS-05",
     "MMRS-06",
     "O661-04"
    ]
   },
   {
    "n": 22,
    "para": 3,
    "text": "Its neighbours under the name and the class are other lists: amplifying-ai's \"curated list of resources for optimizing content visibility in AI-powered search engines\" (CC0 1.0), whose key terms include entity optimization and E-E-A-T; henu-wang's awesome-geo, \"A curated list of resources, tools, research, and guides for Generative Engine Optimization (GEO)\", released under CC0; and aGEO at geo.deeflect.com, \"SEO for the AI era\", built by Dmitry Kargaev, \"a free, open-source collection of platforms where you can build your AI presence\", with a visibility audit, a schema generator and an llms.txt builder, scoring platforms on domain authority, dofollow links, AI crawler treatment and \"an overall GEO score\".",
    "claims": [
     "F17",
     "F22",
     "F21",
     "F23",
     "F26",
     "F29",
     "F31",
     "F33",
     "F30",
     "F34"
    ]
   },
   {
    "n": 23,
    "para": 3,
    "text": "The MMRS record disambiguates the three (the amplifying-ai list by entity optimization, AI citations and E-E-A-T; \"henu-wang/awesome (Awesome GEO)\" by resources, tools and guides; aGEO by its free platforms and tools and Dmitry Kargaev), lists them as census candidates surfaced at this address, each to enter \"once it has been read at its own pages\", and relates the list to a neighbour in the basin, Presenc AI's GEO academic papers of 2026.",
    "claims": [
     "MMRS-15",
     "MMRS-16",
     "MMRS-17",
     "MMRS-25",
     "MMRS-24",
     "MMRS-13"
    ]
   },
   {
    "n": 24,
    "para": 3,
    "text": "The geospatial homonyms are other entities: Geoawesome, a \"Blog & Geospatial Community Platform\", by its channel \"The world’s largest geospatial community\", begun on 20 April 2011 as Geoawesomeness, its home page carrying a sponsored satellite-imagery article of 22 July 2026 and its channel 21.1K subscribers and 387 videos, among them a 1:50 video, \"Reintroducing Ourselves as Geoawesome\"; and the Awesome GEE Community Catalog, \"A community data commons\" of 585 TB of open geospatial data inside Google Earth Engine, \"Grassroots & unfunded since 2020\", which Google's Earth Engine Data Catalog describes as \"an unfunded open source grassroots project\" that \"lives and serves alongside the Google Earth Engine data catalog\"; the MMRS record disambiguates both.",
    "claims": [
     "F15",
     "F37",
     "F38",
     "F16",
     "F36",
     "F35",
     "F27",
     "F28",
     "F39",
     "F40",
     "MMRS-18",
     "MMRS-19"
    ]
   },
   {
    "n": 25,
    "para": 4,
    "text": "The MMRS record keeps itself apart from the entity it describes, each page with two nodes, the record and the entity, each assertion with a source and a basis and the lifecycle apart from the observation (census schema); it reads the list from one source, the repository, read on 28 October 2026 for all fields, records it as active, observed that day, and leaves its licence and its last update unchecked.",
    "claims": [
     "MMRS-23",
     "MMRS-22",
     "MMRS-11",
     "MMRS-21"
    ]
   },
   {
    "n": 26,
    "para": 5,
    "text": "At \"awesome-geo\" Google's AI Overview took the string in its GEO sense, listed the lists and separated the geospatial resources a reader might have meant (Capture Registry, 2026-10-29), composing DavidHuji's list first as \"an active research and resource list featuring academic papers (such as IF-GEO and multimodal rank manipulation studies) and open-source tools\" (Capture Registry), the README's own newest entries being IF-GEO and a rank-manipulation study for vision–language model rankers.",
    "claims": [
     "CAP-1-02",
     "CAP-1-05",
     "F7"
    ]
   },
   {
    "n": 27,
    "para": 5,
    "text": "The Capture Registry (2026-10-29) records that the record's negative tag \"is the composition's split: GEO resources first, geospatial ones as alternative meanings\", checked against the MMRS record and the entity's own pages, that \"The deliberate collision test held\", \"and the record gains its collision set from it\": three more GEO lists and two geospatial homonyms observed and added to the record's disambiguation, the GEO lists as census candidates; the MMRS record carries the capture as the composition layer's account of the entity.",
    "claims": [
     "CAP-1-03",
     "CAP-1-04",
     "CAP-1-01",
     "CAP-1-06",
     "CAP-1-07",
     "MMRS-14"
    ]
   }
  ],
  "claims": {
   "MMRS-01": {
    "kind": "archive",
    "quote": "Awesome-GEO is a GitHub awesome list of research on generative engine optimization maintained by DavidHuji: about 27 papers, code, datasets and tools in sections by year (2024–2026) and open-source resources, with 123 stars.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "article, kernel",
    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "F2": {
    "kind": "field",
    "quote": "Awesome list for research on GEO (Generative Engine Optimization).",
    "source": "B11",
    "source_label": "GitHub — DavidHuji/Awesome-GEO README (raw)",
    "locus": "line 6",
    "modality": "stipulation"
   },
   "F1": {
    "kind": "field",
    "quote": "DavidHuji/Awesome-GEO: Awesome list for research on GEO (Generative Engine Optimization)",
    "source": "B1",
    "source_label": "GitHub — GitHub - DavidHuji/Awesome-GEO: Awesome list for research on GEO (Generative Engine Optimization) · GitHub",
    "locus": "card title",
    "modality": "stipulation"
   },
   "F19": {
    "kind": "field",
    "quote": "[Awesome-GEO by DavidHuji](https://github.com/DavidHuji/Awesome-GEO) - Research-focused GEO paper collection.",
    "source": "B3",
    "source_label": "GitHub — amplifying-ai/awesome",
    "locus": "Related Resources / Other Awesome Lists, item 1",
    "modality": "interpretation"
   },
   "MMRS-08": {
    "kind": "archive",
    "quote": "curated list",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: kind",
    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-07": {
    "kind": "archive",
    "quote": "DavidHuji (GitHub)",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: operator (evidence: github.com/DavidHuji/Awesome-GEO, basis operator)",
    "modality": "documented",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-12": {
    "kind": "archive",
    "quote": "optimization",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: roles",
    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-09": {
    "kind": "archive",
    "quote": "paper, code, dataset or tool on generative engine optimization",
    "deposit": null,
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    "quote": "Recent work on Generative Engine Optimization (Sharma et al. 2024) studies how to optimize content *for* AI summarizers; this paper studies what AI summarizers *do to* content. The optimization perspective treats the composition layer as a target; the reception perspective treats it as a reader.",
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    "kind": "archive",
    "quote": "Standard GEO asks: \"Is the AI summary accurate?\" SPXI re-frames GEO as **compression engineering**: the goal is durable survival through extraction.",
    "deposit": 72,
    "source_label": "#72 SPXI for Websites: Standing Protocol for Entity Inscription and Compression Survival (EA-SPXI-WEB-01 v4.0)",
    "record": "https://www.alexanarch.org/s/records/72/",
    "locus": "'GEO Layer (Extraction as Compression Engineering)'",
    "modality": "interpretation",
    "date": "2026-04-24"
   },
   "O1055-04": {
    "kind": "archive",
    "quote": "They cannot coexist within the same compositional practice, because adapting to what the reception apparatus prefers is what SPXI is engineered to make unnecessary.",
    "deposit": 1055,
    "source_label": "#1055 EA-MPAI-SPXI-01: SPXI ≠ GEO — Composer-Side Authority Engineering, not Reception-Side Optimization",
    "record": "https://www.alexanarch.org/s/records/1055/",
    "locus": "kernel (blockquote) s3",
    "modality": "interpretation",
    "date": "2026-07-08"
   },
   "O661-02": {
    "kind": "archive",
    "quote": "GEO is a legitimate and often effective practice. It makes existing content more visible and more accurately extractable. It operates on the content layer and produces measurable improvements in AI Overview inclusion rates and citation frequency.",
    "deposit": 661,
    "source_label": "#661 SPXI Is Not GEO: A Technical Distinction — EA-SPXI-09",
    "record": "https://www.alexanarch.org/s/records/661/",
    "locus": "§2 What GEO Does ¶2",
    "modality": "interpretation",
    "date": "2026-04-16"
   },
   "O1055-03": {
    "kind": "archive",
    "quote": "Does not claim that GEO practitioners are unethical or that GEO as a discipline is illegitimate. GEO is a coherent commercial-content-marketing discipline with its own successful practitioners and its own defensible target.",
    "deposit": 1055,
    "source_label": "#1055 EA-MPAI-SPXI-01: SPXI ≠ GEO — Composer-Side Authority Engineering, not Reception-Side Optimization",
    "record": "https://www.alexanarch.org/s/records/1055/",
    "locus": "What the packet does not claim, item 1",
    "modality": "self-description",
    "date": "2026-07-08"
   },
   "O172-01": {
    "kind": "archive",
    "quote": "The archive's protocol for entity inscription was repeatedly classified as generative engine optimization — the marketing industry's term for summarizer-visibility services. Here the attractor is a commercial category with venture funding behind its corpus density.",
    "deposit": 172,
    "source_label": "#172 The War Over the Summarizer Layer: Entity Dissolution, the Default Compressed Account, and Early Telemetry of the Inward Turn (EA-SEI-SUMWAR-01 v1.0)",
    "record": "https://www.alexanarch.org/s/records/172/",
    "locus": "II, Case 4: SPXI → GEO (April 2026)",
    "modality": "interpretation",
    "date": "2026-06-09"
   },
   "O1643-01": {
    "kind": "archive",
    "quote": "The Claude answer on the return question (entry 9) accepted the industry figures for a neighbouring field, generative engine optimisation, as the defensible part, without the independent case studies it required of the protocol.",
    "deposit": 1643,
    "source_label": "#1643 AI Fucking Lies: Capital-Alignment Explains Why, and Why the Damage Is Done in the Trusting",
    "record": "https://www.alexanarch.org/s/records/1643/",
    "locus": "the entries read, entry 9",
    "modality": "documented",
    "date": "2026-09-27"
   },
   "O172-04": {
    "kind": "archive",
    "quote": "P3 — Entity-integrity services emerge as a market category distinct from GEO by 2028. … Falsifier: boundary-defense services fail to differentiate from the GEO category.",
    "deposit": 172,
    "source_label": "#172 The War Over the Summarizer Layer: Entity Dissolution, the Default Compressed Account, and Early Telemetry of the Inward Turn (EA-SEI-SUMWAR-01 v1.0)",
    "record": "https://www.alexanarch.org/s/records/172/",
    "locus": "V. Predictions, P3",
    "modality": "hypothesis",
    "date": "2026-06-09"
   },
   "F45": {
    "kind": "field",
    "quote": "Profound describes AEO and GEO as the same practice but argues that \"GEO\" can be confused with geography.",
    "source": "W2",
    "source_label": "Wikipedia — Generative engine optimization (the class; no article for the entity)",
    "locus": "Terminology ¶3 s2",
    "modality": "attributed"
   },
   "MMRS-05": {
    "kind": "archive",
    "quote": "Its name collides with the many geospatial awesome lists, and the negative tag marks the difference.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "article, 'Place in the field' s2",
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    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-06": {
    "kind": "archive",
    "quote": "NOT a geospatial ('geo') awesome list",
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    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
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    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "O661-04": {
    "kind": "archive",
    "quote": "GEO does not include mechanisms for declaring what an entity is *not*. If a summarizer confuses two entities with similar names, GEO has no tool for correcting the confusion at the ontological level.",
    "deposit": 661,
    "source_label": "#661 SPXI Is Not GEO: A Technical Distinction — EA-SPXI-09",
    "record": "https://www.alexanarch.org/s/records/661/",
    "locus": "§2.1 What GEO does not do, item 3",
    "modality": "interpretation",
    "date": "2026-04-16"
   },
   "F17": {
    "kind": "field",
    "quote": "A curated list of resources for optimizing content visibility in AI-powered search engines (ChatGPT, Perplexity, Google AI Overviews, Claude, etc.)",
    "source": "B3",
    "source_label": "GitHub — amplifying-ai/awesome",
    "locus": "opening (blockquote)",
    "modality": "stipulation"
   },
   "F22": {
    "kind": "field",
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    "source_label": "GitHub — amplifying-ai/awesome",
    "locus": "opening, licence badge",
    "modality": "documented"
   },
   "F21": {
    "kind": "field",
    "quote": "**Entity Optimization** - Strengthening brand presence as a recognized entity across the web. … **E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)** - Quality signals that influence AI recommendations.",
    "source": "B3",
    "source_label": "GitHub — amplifying-ai/awesome",
    "locus": "Footnotes, key terms",
    "modality": "stipulation"
   },
   "F23": {
    "kind": "field",
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    "source_label": "GitHub — henu-wang/awesome",
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    "modality": "stipulation"
   },
   "F26": {
    "kind": "field",
    "quote": "This list is released under CC0.",
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    "locus": "License",
    "modality": "documented"
   },
   "F29": {
    "kind": "field",
    "quote": "SEO for the AI era. Free platforms and tools to get your brand discovered by ChatGPT, Perplexity, Gemini, and other AI engines.",
    "source": "B6",
    "source_label": "geo.deeflect.com — Awesome GEO — Free GEO Platforms & Tools for AI Visibility",
    "locus": "hero",
    "modality": "stipulation"
   },
   "F31": {
    "kind": "field",
    "quote": "Built by Dmitry Kargaev",
    "source": "B6",
    "source_label": "geo.deeflect.com — Awesome GEO — Free GEO Platforms & Tools for AI Visibility",
    "locus": "footer",
    "modality": "documented"
   },
   "F33": {
    "kind": "field",
    "quote": "Awesome GEO is a free, open-source collection of platforms where you can build your AI presence.",
    "source": "B7",
    "source_label": "geo.deeflect.com — About Awesome GEO — What Is Generative Engine Optimization? | aGEO",
    "locus": "So what is this project? ¶1",
    "modality": "stipulation"
   },
   "F30": {
    "kind": "field",
    "quote": "Full Visibility Audit … Schema Generator … llms.txt Builder",
    "source": "B6",
    "source_label": "geo.deeflect.com — Awesome GEO — Free GEO Platforms & Tools for AI Visibility",
    "locus": "tool cards",
    "modality": "documented"
   },
   "F34": {
    "kind": "field",
    "quote": "Each platform gets evaluated on domain authority, whether links are dofollow, how AI crawlers treat the site, and an overall GEO score.",
    "source": "B7",
    "source_label": "geo.deeflect.com — About Awesome GEO — What Is Generative Engine Optimization? | aGEO",
    "locus": "How we score things ¶1",
    "modality": "stipulation"
   },
   "MMRS-15": {
    "kind": "archive",
    "quote": "amplifying-ai/awesome-generative-engine-optimization … entity optimization, AI citations, E-E-A-T",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: disambiguation[0]",
    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-16": {
    "kind": "archive",
    "quote": "henu-wang/awesome (Awesome GEO) … resources, tools, guides",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
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    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-17": {
    "kind": "archive",
    "quote": "aGEO (geo.deeflect.com) … free platforms and tools, Dmitry Kargaev",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
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    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-25": {
    "kind": "archive",
    "quote": "amplifying-ai/awesome-generative-engine-optimization … henu-wang/awesome (Awesome GEO) … a GEO awesome list … aGEO — Awesome GEO platforms (geo.deeflect.com) … free GEO platforms and a repository list, by Dmitry Kargaev",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: candidates (surfaced_by 'awesome-geo-aio-20261029')",
    "modality": "documented",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-24": {
    "kind": "archive",
    "quote": "Aggregators the composition layer surfaced in captures of the census's entities, listed for reading. Each enters the census once it has been read at its own pages.",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: candidates_note (top-level)",
    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-13": {
    "kind": "archive",
    "quote": "neighbour … presenc-geo-papers",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: relations[0] (neighbour)",
    "modality": "documented",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "F15": {
    "kind": "field",
    "quote": "Geoawesome - Blog & Geospatial Community Platform",
    "source": "B2",
    "source_label": "Geoawesome — Geoawesome",
    "locus": "page title",
    "modality": "stipulation"
   },
   "F37": {
    "kind": "field",
    "quote": "The world’s largest geospatial community is united by its belief in the power of location technology to transform the world for the better.",
    "source": "B9",
    "source_label": "YouTube·Geoawesome — Geoawesome - YouTube",
    "locus": "channel description (og:description) ¶1",
    "modality": "self-description"
   },
   "F38": {
    "kind": "field",
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    "source": "B9",
    "source_label": "YouTube·Geoawesome — Geoawesome - YouTube",
    "locus": "channel description (og:description) ¶2",
    "modality": "self-description"
   },
   "F16": {
    "kind": "field",
    "quote": "The Living Library: Where Historical and Current Satellite Imagery Comes Alive … Sponsored Article … 07.22.2026",
    "source": "B2",
    "source_label": "Geoawesome — Geoawesome",
    "locus": "home page, article list",
    "modality": "documented"
   },
   "F36": {
    "kind": "field",
    "quote": "Geoawesome. @geoawesome.digital. 21.1K subscribers•387 videos.",
    "source": "B9",
    "source_label": "YouTube·Geoawesome — Geoawesome - YouTube",
    "locus": "card snippet",
    "modality": "documented"
   },
   "F35": {
    "kind": "field",
    "quote": "Reintroducing Ourselves as Geoawesome",
    "source": "B8",
    "source_label": "YouTube·Geoawesome — YouTube",
    "locus": "oEmbed title (the card: YouTube · Geoawesome, 1:50, no title)",
    "modality": "documented"
   },
   "F27": {
    "kind": "field",
    "quote": "A community data commons … 585 TB of open geospatial data, analysis ready inside Google Earth Engine.",
    "source": "B5",
    "source_label": "Awesome GEE Community Catalog — Awesome GEE Community Catalog",
    "locus": "hero",
    "modality": "stipulation"
   },
   "F28": {
    "kind": "field",
    "quote": "Grassroots & unfunded since 2020",
    "source": "B5",
    "source_label": "Awesome GEE Community Catalog — Awesome GEE Community Catalog",
    "locus": "hero",
    "modality": "self-description"
   },
   "F39": {
    "kind": "field",
    "quote": "The Awesome GEE Community Catalog is an unfunded open source grassroots project with a mission to help collect community sourced and community generated geospatial datasets.",
    "source": "B10",
    "source_label": "Google for Developers — Awesome GEE Community Catalog | Earth Engine Data Catalog | Google for Developers",
    "locus": "page body ¶1",
    "modality": "attributed"
   },
   "F40": {
    "kind": "field",
    "quote": "This catalog lives and serves alongside the Google Earth Engine data catalog.",
    "source": "B10",
    "source_label": "Google for Developers — Awesome GEE Community Catalog | Earth Engine Data Catalog | Google for Developers",
    "locus": "page body ¶2",
    "modality": "attributed"
   },
   "MMRS-18": {
    "kind": "archive",
    "quote": "Geoawesome … geospatial media, GIS, Earth observation",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
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    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-19": {
    "kind": "archive",
    "quote": "Awesome GEE Community Catalog … Google Earth Engine, community geospatial datasets",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
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    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-23": {
    "kind": "archive",
    "quote": "each page has two nodes, the MMRS record and the entity it describes; relations are typed; each assertion carries a source and a basis (operator statement, third-party report, our observation, our reading); lifecycle is kept apart from the observation that saw it",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: schema_note (top-level, v2, 2026-10-28)",
    "modality": "stipulation",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-22": {
    "kind": "archive",
    "quote": "https://github.com/DavidHuji/Awesome-GEO … 2026-10-28 … all fields",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: sources['github.com/DavidHuji/Awesome-GEO']",
    "modality": "documented",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-11": {
    "kind": "archive",
    "quote": "active … 2026-10-28",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: lifecycle.state; observed.on",
    "modality": "documented",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "MMRS-21": {
    "kind": "archive",
    "quote": "licence … last update",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: unchecked",
    "modality": "self-description",
    "date": "2026-10-28 (corrected 2026-10-29)"
   },
   "CAP-1-02": {
    "kind": "archive",
    "quote": "The Overview takes the string in its GEO sense, lists the lists, and separates the geospatial resources a reader might have meant.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-3d26cbe75ddc (awesome-geo-aio-20261029), field reading",
    "record": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
    "locus": "awesome-geo-aio-20261029, reading s2",
    "modality": "interpretation",
    "date": "2026-10-29"
   },
   "CAP-1-05": {
    "kind": "archive",
    "quote": "DAVIDHUJI'S LIST FIRST. Described as 'an active research and resource list featuring academic papers (such as IF-GEO and multimodal rank manipulation studies) and open-source tools'.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-3d26cbe75ddc (awesome-geo-aio-20261029), field findings[1]",
    "record": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
    "locus": "awesome-geo-aio-20261029, findings[1]",
    "modality": "documented",
    "date": "2026-10-29"
   },
   "CAP-1-03": {
    "kind": "archive",
    "quote": "THE COLLISION RESOLVED AS THE RECORD RESOLVES IT. The record's negative tag ('NOT a geospatial awesome list') is the composition's split: GEO resources first, geospatial ones as alternative meanings.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-3d26cbe75ddc (awesome-geo-aio-20261029), field findings[0]",
    "record": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
    "locus": "awesome-geo-aio-20261029, findings[0] s1–2",
    "modality": "documented",
    "date": "2026-10-29"
   },
   "CAP-1-04": {
    "kind": "archive",
    "quote": "Checked 2026-10-29 against the MMRS meta-aggregator record of 2026-10-28 and the entity's own pages, re-read the same day.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-3d26cbe75ddc (awesome-geo-aio-20261029), field findings[0]",
    "record": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
    "locus": "awesome-geo-aio-20261029, findings[0] s3",
    "modality": "documented",
    "date": "2026-10-29"
   },
   "CAP-1-01": {
    "kind": "archive",
    "quote": "The deliberate collision test held: the composition separates the senses as the record does, and the record gains its collision set from it.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-3d26cbe75ddc (awesome-geo-aio-20261029), field analysis",
    "record": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
    "locus": "awesome-geo-aio-20261029, analysis",
    "modality": "interpretation",
    "date": "2026-10-29"
   },
   "CAP-1-06": {
    "kind": "archive",
    "quote": "THE NEIGHBOURS OBSERVED. amplifying-ai/awesome-generative-engine-optimization, henu-wang/awesome (Awesome GEO) and the aGEO platform at geo.deeflect.com are three more GEO lists, and Geoawesome and the Awesome GEE Community Catalog the geospatial homonyms.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-3d26cbe75ddc (awesome-geo-aio-20261029), field findings[2]",
    "record": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
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    "modality": "documented",
    "date": "2026-10-29"
   },
   "CAP-1-07": {
    "kind": "archive",
    "quote": "All added to the record's disambiguation; the GEO lists as census candidates.",
    "deposit": null,
    "source_label": "Capture Registry observation OBS-3d26cbe75ddc (awesome-geo-aio-20261029), field findings[2]",
    "record": "https://www.alexanarch.org/captures/awesome-geo-aio-20261029/",
    "locus": "awesome-geo-aio-20261029, findings[2] s3",
    "modality": "documented",
    "date": "2026-10-29"
   },
   "MMRS-14": {
    "kind": "archive",
    "quote": "the composition layer's account of the entity, seated in the Capture Registry",
    "deposit": null,
    "source_label": "MMRS meta-aggregator record: Awesome-GEO (DavidHuji) (https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/), editor Lee Sharks",
    "record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
    "locus": "census: relations[1] (capture)",
    "modality": "documented",
    "date": "2026-10-28 (corrected 2026-10-29)"
   }
  },
  "note": "The knowledge object (KO): the entry as public knowledge, each sentence sourced by the claims it lists. The compression, the field-only arm, the transcript, the delta and the kernel are in the row (links.row), which is the authority."
 },
 "source": "operator, 2026-10-29: 'we can simply build them here as against their wikipedia articles if they exist, their own pages, etc.'; 'lets build them'; the MMRS meta-aggregator entity",
 "stage": "composed 2026-10-29 under EA-NEGONT-02 v0.9, #1690, equal case, ρ = extends (draft, not frozen; ledgers unaudited, one extractor; every field and archive quote re-checked by the session)",
 "date": "2026-10-29",
 "status": {
  "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the MMRS record, the capture record and the deposits defining the archive's account of the class (#833, #1055, #661); archive selected by D/R/O (no deposit names the list: D 0, R 0; O-class on generative engine optimization research, sourced from B11, B3 and the MMRS record: 15 deposits of 56 candidates admitted, #653 by the hop of 230), with the MMRS record (25 claims) and the Capture Registry's findings, reading and analysis (7 claims) ledgered as the archive's records of the entity; the field B by three origins (10 cards for 10 sources, 1 own page, Wikipedia: no article for the entity, the class's article ledgered); the composer read the ledgers, never the transcript, except where the brief asks for T's claims and the delta",
  "ledger": "unaudited (§3.8: one extractor per ledger); field quotes 47/47 verified by script against saved text, oEmbed title or card text; archive quotes 62/62 verified verbatim against the registry, census.json, articles.py and the deposit texts; carried as marked: MMRS-04 contested (F11, F12), O61-01 and O1055-04 contested within the archive, O833-01 with a citation defect noted",
  "frozen": false,
  "breaches": []
 },
 "addresses": [
  {
   "address": "awesome-geo",
   "address_url": "https://www.alexanarch.org/addresses/awesome-geo/",
   "register": []
  }
 ],
 "counts": {
  "ko_sentences": 27,
  "p_words": 240,
  "field_claims": 47,
  "archive_claims": 62,
  "ko_field_claims_cited": 47,
  "ko_archive_claims_cited": 62,
  "admitted_deposits": 15,
  "register_addresses": 0,
  "traversal": {
   "D_sentences": 0,
   "D_deposits": 0,
   "R_sentences": 0,
   "R_deposits": 0,
   "O_direct": 0,
   "O_class": 216,
   "O_deposits": 56,
   "H_candidates": 230
  }
 },
 "links": {
  "record": "https://www.alexanarch.org/non/awesome-geo-davidhuji/",
  "table_of_contents": "https://www.alexanarch.org/non/index.json",
  "register": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/register.json",
  "row": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/rows/awesome-geo-davidhuji.json",
  "archive_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/awesome-geo-davidhuji/ledger-archive.json",
  "field_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/awesome-geo-davidhuji/field.json",
  "selection": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/awesome-geo-davidhuji/",
  "traversal": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/awesome-geo-davidhuji/",
  "traversal_summary": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/awesome-geo-davidhuji/summary.json",
  "reading": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/awesome-geo-davidhuji/reading.json",
  "configuration": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/panel/configs/awesome-geo-davidhuji.json",
  "address_page": "https://www.alexanarch.org/addresses/awesome-geo/",
  "mmrs_record": "https://www.machinemediation.org/aggregators/awesome-geo-davidhuji/",
  "dataset": "https://huggingface.co/datasets/leesharks/negative-of-the-negative"
 },
 "row_sha256": "8fa6de27a2783cfd236c1b417d8b600521ece46bc2d3e65cc4b7efd13b5882ce",
 "record_url": "https://www.alexanarch.org/non/awesome-geo-davidhuji/",
 "json_url": "https://www.alexanarch.org/non/awesome-geo-davidhuji/entity.json",
 "spec": "https://www.alexanarch.org/s/records/1690/",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "license": "CC BY 4.0"
}