{
 "entity": "ithaca",
 "name": "Ithaca",
 "axn": {
  "axn": "AXN:0B41.NON.⏹️🌸♆♃📋🕛",
  "root": "AXN:0B41.NON",
  "hex": "0B41",
  "family": "NON",
  "row_sha256": "f770a6a3456d76e23f0dfa7d61103d1b849962f942b28c169c6defb00b107ef9",
  "minted": "2026-10-31",
  "resolver": "https://www.alexanarch.org/s/axn/0B41/",
  "earlier_versions": []
 },
 "type": "C (public entity on which the archive bears: an AI model for restoring, placing and dating ancient Greek inscriptions; an entity of the Revelation First meta-aggregator; at the bare name a homonym, Homer's island, which the operator's address disambiguates)",
 "type_code": "C",
 "type_label": "type C — a conventional reading holds it (public entity on which the archive bears: an AI model for restoring, placing and dating ancient Greek inscriptions; an entity of the Revelation First meta-aggregator; at the bare name a homonym, Homer's island, which the operator's address disambiguates)",
 "case": "equal",
 "composition": {
  "composer_class": "session",
  "composer": "Claude (Opus 5.5), subagent, 2026-10-31",
  "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/ithaca.json)",
  "spec": "EA-NEGONT-02 v0.9, #1690",
  "epoch": "2026-10-31",
  "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the Revelation First census record, the capture record and the deposits that name the entity and apply an archive category to it (#1443, #1406); archive selected by D/R/O (string pass: D 53, R 8, O 37 candidates in 33 deposits, every one read; hop of 35 from #1443 read; 2 deposits admitted, 8 claims), with the census record (35 claims) and the Capture Registry's findings, reading, analysis, query note, PER note and PER-dim notes and scores (17 claims) ledgered as the archive's records of the entity; the field B by origin (4 cards, the entity's, one unreachable; no own page outside the rail; Wikipedia, no article, the section of 'Google DeepMind' and the disambiguation page); 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 62/62 verified by script against the saved page texts, the interface page's meta text, the card snippet and the Wikipedia texts; archive quotes 60/60 verified against the registry, census.json, questions.json and the deposit texts",
  "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. \"Ithaca — NonWiki\" [AXN:0B41.NON.⏹️🌸♆♃📋🕛], 2026-10-31. NonWiki: The Negative of the Negative (EA-NEGONT-02), Crimson Hexagonal Archive, Alexanarch. https://www.alexanarch.org/non/ithaca/",
 "research": {
  "google": "https://www.google.com/search?q=Ithaca",
  "google_non": "https://www.google.com/search?q=%22Ithaca+%E2%80%94+NonWiki%22",
  "chatgpt": "https://chatgpt.com/?q=What+is+Ithaca%3F+Ground+your+answer+in+a+reading+of+the+sources+themselves.",
  "chatgpt_non": "https://chatgpt.com/?q=What+does+%E2%80%9CIthaca+%E2%80%94+NonWiki%E2%80%9D+%28alexanarch.org%2Fnon%29+say+about+Ithaca%3F+Ground+your+answer+in+a+reading+of+the+entry+itself."
 },
 "entry": {
  "composed": true,
  "title": "Ithaca (DeepMind)",
  "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, ordered by the entity's dependency",
  "status": "composed 2026-10-31 under v0.9 on the operator's ruling ('as against their wikipedia articles if they exist, their own pages, etc.'); not frozen; ledgers unaudited",
  "compression": {
   "title": "Ithaca (DeepMind)",
   "lede": "is DeepMind's deep neural network, built with Ca' Foscari, Oxford and Athens partners, that restores, places and dates damaged ancient Greek inscriptions (Nature, 2022): inscriptions, not manuscripts, assistive by design (census record)."
  },
  "sentences": [
   {
    "n": 1,
    "para": 0,
    "text": "Ithaca is a deep neural network \"for the textual restoration, geographical attribution and chronological attribution of ancient Greek inscriptions\" (Nature, 2022), which the Revelation First census record names Ithaca and files under AI and ancient texts, \"machine reading, restoration and dating\", as evidence of the kind \"machine reading, restoration or dating\" whose unit is \"an inscription's restored text, attributed place and attributed date\" and whose texts are ancient Greek inscriptions (census record).",
    "claims": [
     "F1",
     "RF-01",
     "RF-05",
     "RF-06",
     "RF-07",
     "RF-08",
     "RF-09",
     "RF-10"
    ]
   },
   {
    "n": 2,
    "para": 0,
    "text": "Its makers state the work as \"Restoring, placing, and dating ancient texts through collaboration between AI and historians\" and introduce Ithaca as the first deep neural network to restore the missing text of damaged inscriptions, identify their original location and help establish their date (the DeepMind post); the repository's card gives \"a deep neural network developed by DeepMind and academic partners\" (GitHub card), and the encyclopedia one that \"helps researchers restore the empty text of damaged Greek documents\" and identify their date and origin (Wikipedia).",
    "claims": [
     "F2",
     "F3",
     "F4",
     "F7"
    ]
   },
   {
    "n": 3,
    "para": 0,
    "text": "The interface site calls Ithaca and Aeneas \"generative AI models designed to assist historians in the study of ancient Greek and Latin inscriptions\", part of \"a wider initiative on developing collaborative AI for historical research\" (Predicting the Past).",
    "claims": [
     "F5",
     "F6"
    ]
   },
   {
    "n": 4,
    "para": 1,
    "text": "The name is the island's: Ithaca \"was named after the Greek island that eluded the hero Odysseus’ homecoming\" (Nature), after \"the Greek island in Homer’s Odyssey\" (the DeepMind post; Wikipedia), and the census gives its other name as \"Ithaca (DeepMind)\" (census record).",
    "claims": [
     "F8",
     "F9",
     "F10",
     "RF-02"
    ]
   },
   {
    "n": 5,
    "para": 1,
    "text": "On the encyclopedia the bare name \"most commonly refers to\" Homer's Ithaca and is a disambiguation page that does not list the model, which has no article of its own (Wikipedia); the Capture Registry records that the operator \"added the disambiguator to a name that is bare a homonym\", and reads that 'DeepMind' selects the model from the island and the city (Capture Registry, 2026-10-31).",
    "claims": [
     "F62",
     "CAP-1-09",
     "CAP-1-12"
    ]
   },
   {
    "n": 6,
    "para": 2,
    "text": "Its operator is \"DeepMind with historians and collaborators; described in Nature (2022)\" (census record): DeepMind worked with the Department of Humanities of Ca' Foscari University of Venice, the Classics Faculty of the University of Oxford and the Department of Informatics of the Athens University of Economics and Business (the DeepMind post), the paper's co-first authors are Yannis Assael and Thea Sommerschield with those affiliations and DeepMind in London, and the paper was published in Nature 603, 280–283, on 9 March 2022 (Nature), the census dating it to 2022 and its lifecycle \"published 2022; interface online\" (census record).",
    "claims": [
     "RF-04",
     "F11",
     "F12",
     "F13",
     "RF-25",
     "RF-24"
    ]
   },
   {
    "n": 7,
    "para": 3,
    "text": "The paper's problem is that inscriptions \"have been damaged to the point of illegibility, transported far from their original location and their date of writing is steeped in uncertainty\", and that \"radiocarbon dating is unusable owing to the inorganic nature of most inscribed supports\" (Nature), which the post gives as dating techniques that \"cannot be used on these materials\" (the DeepMind post).",
    "claims": [
     "F14",
     "F15",
     "F16"
    ]
   },
   {
    "n": 8,
    "para": 4,
    "text": "It was trained on Greek inscriptions from across the ancient Mediterranean between the seventh century BC and the fifth century AD, from the Packard Humanities Institute's Searchable Greek Inscriptions (PHI), 178,551 transcribed texts in 84 ancient regions, processed into I.PHI, \"containing 78,608 inscriptions\" (Nature; the DeepMind post); the census gives its geography as the ancient Greek world and, from the abstract, its period as \"not stated in the abstract\" and its count as \"not stated in the saved abstract\" (census record).",
    "claims": [
     "F17",
     "F18",
     "F19",
     "F20",
     "F21",
     "RF-12",
     "RF-13",
     "RF-14"
    ]
   },
   {
    "n": 9,
    "para": 4,
    "text": "The paper states that PHI \"is a synthesis of generations of scholarly research\" (Nature), and the archive's field survey reads the processing as the work itself: the model assumes \"A large, clean, machine-actionable corpus\", I.PHI \"required an extended ruleset to normalise 84 regions and heterogeneous date formats\", and \"The dataset construction is the hidden achievement\" (#1443).",
    "claims": [
     "F22",
     "D1443-02"
    ]
   },
   {
    "n": 10,
    "para": 5,
    "text": "The text is processed \"as character and word representations jointly\" through eight stacked transformer decoder blocks after BigBird, each with four sparse attention heads, and three task heads for restoration, place and date (Nature), the post describing a sparse self-attention core that evaluates words and characters in parallel (the DeepMind post).",
    "claims": [
     "F23",
     "F24",
     "F25",
     "F26"
    ]
   },
   {
    "n": 11,
    "para": 6,
    "text": "For restoration it offers \"the top 20 decoded predictions ranked by probability\" (Nature), several hypotheses \"for historians to choose from using their expertise\"; for place it shows its uncertainty as a probability distribution \"instead of just a single output\"; for date it predicts over 160 decades from 800 BC to AD 800; and saliency maps show which inputs drove a prediction (the DeepMind post; Nature).",
    "claims": [
     "F27",
     "F28",
     "F29",
     "F30",
     "F31"
    ]
   },
   {
    "n": 12,
    "para": 7,
    "text": "Alone it restores damaged texts at 62% and attributes place at 71%, and it dates \"to less than 30 years of their ground-truth ranges\" (Nature; the DeepMind post; Wikipedia's 'dating precision of 30 years'); measured, that is a 26.3% character error rate and 61.8% top-1 restoration, 70.8% top-1 and 82.1% top-3 for regions, and an average distance of 29.3 years, \"with a median distance of only 3 years\", from the target brackets (Nature), which the census carries as its second finding (census record).",
    "claims": [
     "F32",
     "F33",
     "F34",
     "F35",
     "RF-16"
    ]
   },
   {
    "n": 13,
    "para": 8,
    "text": "With it, historians' restoration accuracy rose \"from 25% to 72%\", which the paper reads as \"the synergistic effect of this research tool\" (Nature) and the post as expert historians \"surpassing the model’s individual performance\" (the DeepMind post); the census carries it as its first finding and the method as \"evaluated alone and with historians\" (census record), and the archive's survey restates the figures from the paper (#1443).",
    "claims": [
     "F36",
     "F38",
     "RF-15",
     "RF-11",
     "D1443-01"
    ]
   },
   {
    "n": 14,
    "para": 8,
    "text": "The paper's human baseline is \"two evaluators with epigraphical expertise (‘ancient historian’)\", and it thanks \"the student annotators and baseline evaluators\" of the Athens University of Economics and Business's MSc in Digital Methods for the Humanities and of Oxford's Faculty of Classics (Nature); the encyclopedia reports the authors' claim for \"expert historians\" and that \"Eleanor Dickey noted that this test was actually only made of students\", it being unclear how helpful Ithaca would be to \"genuinely qualified editors\" (Wikipedia).",
    "claims": [
     "F37",
     "F39",
     "F40",
     "F41"
    ]
   },
   {
    "n": 15,
    "para": 8,
    "text": "The archive's field survey reads the figure as a property of the interface: \"this is not \"AI helps.\"\" — \"The 25→72 gain cannot come from accuracy: the model alone scores 62, below the collaborative figure\"; it comes from interface design, \"ranked top-20 hypotheses with saliency, not a verdict; the historian evaluates alternatives rather than accepting an answer\" (#1443).",
    "claims": [
     "D1443-03"
    ]
   },
   {
    "n": 16,
    "para": 9,
    "text": "The archive defines differential register prioritization as \"a condition in which multiple interpretive fields are available, but some are weighted in ways that suppress or erase others, materially altering the reading of ambiguous language\", a specification weakened \"if reading systems can be shown to reliably recover suppressed registers without branch-preservation\" (#1406); its field survey reads Ithaca as \"empirical evidence that the hazard is a property of single-verdict interfaces, not of machine reading as such\", with ranked-alternative presentation the mitigation, which \"converts an internal warning into a design requirement with external validation\" (#1443).",
    "claims": [
     "O1406-01",
     "O1406-02",
     "D1443-04",
     "D1443-05"
    ]
   },
   {
    "n": 17,
    "para": 10,
    "text": "On the disputed Athenian decrees, held out of training, its predictions average 421 BC and sit on average 5 years from the modern 'lower' dating where the dataset's labels sit 27 years off (Nature), the work by which the paper says it is \"redating key texts of Classical Athens\" (Nature) and historians \"have already used the tool to reevaluate significant periods in Greek history\" (the DeepMind post).",
    "claims": [
     "F42",
     "F43",
     "F44"
    ]
   },
   {
    "n": 18,
    "para": 11,
    "text": "Its frame is stated in the abstract, \"Ithaca is designed to assist and expand the historian’s workflow\", its architecture focused on \"collaboration, decision support and interpretability\" (Nature; census record): \"an assistive tool\" that proposes \"possible solutions for the scholar to consider\", none of whose restorations \"are assumed to be objectively certain—instead, they are presented as plausible suggestions\" (Nature).",
    "claims": [
     "F45",
     "RF-17",
     "F46",
     "F47"
    ]
   },
   {
    "n": 19,
    "para": 11,
    "text": "The paper holds that the scale of its data can challenge errors in the academic tradition \"notwithstanding the fact that the dataset in question is originally based on the accumulated academic tradition\", and that \"The limitations of discretizing and amalgamating date ranges of different levels of precision based on past scholarship have been noted\", which its scale at least partially meets (Nature); the archive's survey states what such an instrument cannot ask: attestation is answerable \"only where there is a living author who can sign, date, photograph, enroll, attest, consent, and be asked again next year\", and \"Vesuvius and Ithaca work on authors who cannot be consulted\" (#1443).",
    "claims": [
     "F48",
     "F49",
     "D1443-06"
    ]
   },
   {
    "n": 20,
    "para": 12,
    "text": "It is used through \"an open-source and publicly available interface\" at ithaca.deepmind.com (Nature; census record), now served as Predicting the Past, \"Contextualising, restoring, and attributing ancient texts\" (Predicting the Past), launched with Google Cloud and Google Arts & Culture with the code, the pretrained model and a Colaboratory notebook open-sourced, its web interface built by Justin Grayston, Benjamin Maynard and Ricardo Cardenas of Google Cloud (the DeepMind post); the census reads the saved page as \"a JavaScript application\" with the paper open in Nature and left \"the interface (JavaScript)\" and \"the training corpus\" unchecked (census record).",
    "claims": [
     "F51",
     "RF-03",
     "F50",
     "F52",
     "F53",
     "RF-22",
     "RF-30"
    ]
   },
   {
    "n": 21,
    "para": 12,
    "text": "The training and inference code is on GitHub \"under Apache License 2.0, along with the trained weights, licensed under Creative Commons Attribution-ShareAlike 4.0 International\", and the article is licensed under CC BY 4.0 (Nature); the census records its licence as \"not read\" (census record).",
    "claims": [
     "F54",
     "F55",
     "RF-23"
    ]
   },
   {
    "n": 22,
    "para": 13,
    "text": "Its closest predecessor is Pythia, the authors' 2019 restoration model, which it builds on and extends (Nature; the DeepMind post; Wikipedia), and the paper calls it \"to our knowledge the first epigraphic restoration and attribution model of its kind\" (Nature).",
    "claims": [
     "F56",
     "F57",
     "F58"
    ]
   },
   {
    "n": 23,
    "para": 13,
    "text": "Versions for other ancient languages were in progress, \"from Akkadian to Demotic and Hebrew to Mayan\" (the DeepMind post; Wikipedia); the census names its neighbour Aeneas as \"DeepMind's later model for Latin inscriptions\" (census record), the model the interface site presents beside it.",
    "claims": [
     "F59",
     "F60",
     "RF-28"
    ]
   },
   {
    "n": 24,
    "para": 14,
    "text": "The census asks of each resource \"What evidence does each resource hold on when and from what the New Testament writings were composed, and how do machines now read those texts?\", and answers for Ithaca \"how accurately a model restores, places and dates Greek inscriptions, and how much it helps historians\", not \"the dating of manuscripts or literary works\" nor \"anything on the New Testament\" (census record).",
    "claims": [
     "RF-31",
     "RF-18",
     "RF-19",
     "RF-20"
    ]
   },
   {
    "n": 25,
    "para": 14,
    "text": "Its reading, the archive's: \"Machine dating of Greek text: inscriptions, not manuscripts. A method the dating workstream can watch; it bears on the thesis only as machine dating moves toward literary and papyrus evidence\", with the tags \"NOT a manuscript-dating model\" and \"NOT a New Testament resource\", under the census's correction that \"Revelation First is the priority thesis\", not the pre-70 date (census record); the authors, for their part, hold the methods applicable \"to all disciplines dealing with ancient text (papyrology, numismatics, codicology), to any language (ancient or modern)\" (Nature).",
    "claims": [
     "RF-21",
     "RF-26",
     "RF-27",
     "RF-32",
     "F61"
    ]
   },
   {
    "n": 26,
    "para": 14,
    "text": "In the worked question of what machine dating of manuscripts can establish, Ithaca stands for \"restoration, place and date for Greek inscriptions, within 30 years of ground truth\": \"Machine dating is calibrated on a corpus. What it establishes holds for that corpus and that kind of evidence\", and \"None of the four dates a New Testament papyrus or a composition\" (census record), the thirty years being the paper's distance from \"ground-truth ranges\" (Nature).",
    "claims": [
     "RF-33",
     "RF-34",
     "RF-35",
     "F32"
    ]
   },
   {
    "n": 27,
    "para": 15,
    "text": "At 'Ithaca DeepMind' on 31 October 2026 Google's AI Overview gave \"the model, its three tasks with their figures, how it is built and where it can be used, from its maker, its code and its paper\": \"THE MODEL HELD\", the figures the record's own from the Nature abstract, \"Google DeepMind named; no person; no identifier\", at a dimensional PER of 0.105 (Capture Registry, 2026-10-31), the address carrying a disambiguator because the bare name is shared (census record).",
    "claims": [
     "CAP-1-06",
     "CAP-1-01",
     "CAP-1-11",
     "CAP-1-17",
     "RF-29"
    ]
   },
   {
    "n": 28,
    "para": 15,
    "text": "The paper's frame was \"carried only by the collaboration figures\", the redating of Classical Athens and the model's year absent, the \"academic partners\" unnamed, and \"within 30 years of their true historical creation date\" an inflation of the record's \"ground-truth ranges\", the paper's words (Nature), the plausible suggestions not carried (Capture Registry, 2026-10-31).",
    "claims": [
     "CAP-1-02",
     "CAP-1-03",
     "CAP-1-05",
     "CAP-1-15",
     "CAP-1-13",
     "F32"
    ]
   },
   {
    "n": 29,
    "para": 15,
    "text": "The 84 regions, the architecture, the PHI dataset and the Apache-2.0 licence, each stated in the paper (Nature), came \"from the GitHub and Nature cards\", the record not having read the licence, the CC BY-SA weights not carried, the closing offer tying Ithaca to \"newer models like Aeneas\", and no card citing the census record, built the day before (Capture Registry, 2026-10-31).",
    "claims": [
     "CAP-1-04",
     "CAP-1-14",
     "CAP-1-16",
     "CAP-1-10",
     "F18",
     "F24",
     "F20",
     "F54"
    ]
   },
   {
    "n": 30,
    "para": 15,
    "text": "The registry's analysis: \"A model is composed by its benchmark, accurately\", and \"What the field takes from Ithaca is the scale of the error: a machine dates an inscription to within thirty years and no closer, which is the same margin as Enoch's for the scrolls\" (Capture Registry, 2026-10-31).",
    "claims": [
     "CAP-1-07",
     "CAP-1-08"
    ]
   }
  ],
  "claims": {
   "F1": {
    "kind": "field",
    "quote": "Here we present Ithaca, a deep neural network for the textual restoration, geographical attribution and chronological attribution of ancient Greek inscriptions.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Abstract s3",
    "modality": "stipulation"
   },
   "RF-01": {
    "kind": "archive",
    "quote": "Ithaca",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].name",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-05": {
    "kind": "archive",
    "quote": "a deep neural network for restoring, placing and dating ancient Greek inscriptions",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].kind",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-06": {
    "kind": "archive",
    "quote": "[\"ai-ancient-texts\"]",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].intersections",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-07": {
    "kind": "archive",
    "quote": "AI and ancient texts: machine reading, restoration and dating",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json intersections['ai-ancient-texts']",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-08": {
    "kind": "archive",
    "quote": "[\"machine reading, restoration or dating\"]",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].evidence_kind",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-09": {
    "kind": "archive",
    "quote": "an inscription's restored text, attributed place and attributed date",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
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   "D1443-03": {
    "kind": "archive",
    "quote": "**Developmental space — this is not \"AI helps.\"** The 25→72 gain cannot come from accuracy: the model alone scores 62, *below* the collaborative figure. It comes from **interface design** — ranked top-20 hypotheses with saliency, not a verdict; the historian evaluates alternatives rather than accepting an answer.",
    "deposit": 1443,
    "source_label": "#1443 The Photograph of the Handwritten Original: A Field Survey and Problem Statement for Machine-Eligible Handwritten Artifacts (v3.6, deposit edition)",
    "record": "https://www.alexanarch.org/s/records/1443/",
    "locus": "§2.3 'Developmental space'",
    "modality": "interpretation",
    "date": "2026-08-09"
   },
   "O1406-01": {
    "kind": "archive",
    "quote": "**differential register prioritization** — *a condition in which multiple interpretive fields are available, but some are weighted in ways that suppress or erase others, materially altering the reading of ambiguous language.*",
    "deposit": 1406,
    "source_label": "#1406 Differential Register Prioritization in Machine-Mediated Reading: A Specification for Interpretive Authority over Handwritten and Ambiguous Text",
    "record": "https://www.alexanarch.org/s/records/1406/",
    "locus": "§1 'What we can and cannot claim'",
    "modality": "stipulation",
    "date": "2026-07-21"
   },
   "O1406-02": {
    "kind": "archive",
    "quote": "The specification is weakened if reading systems can be shown to reliably recover suppressed registers without branch-preservation;",
    "deposit": 1406,
    "source_label": "#1406 Differential Register Prioritization in Machine-Mediated Reading: A Specification for Interpretive Authority over Handwritten and Ambiguous Text",
    "record": "https://www.alexanarch.org/s/records/1406/",
    "locus": "Falsification Conditions",
    "modality": "stipulation",
    "date": "2026-07-21"
   },
   "D1443-04": {
    "kind": "archive",
    "quote": "This bears directly on the archive's **Differential Register Prioritization** (`AXN:058F`, #1406), which specifies the hazard that a machine's early reading suppresses later interpretive fields. Ithaca is empirical evidence that **the hazard is a property of single-verdict interfaces, not of machine reading as such**, and that ranked-alternative presentation is the mitigation.",
    "deposit": 1443,
    "source_label": "#1443 The Photograph of the Handwritten Original: A Field Survey and Problem Statement for Machine-Eligible Handwritten Artifacts (v3.6, deposit edition)",
    "record": "https://www.alexanarch.org/s/records/1443/",
    "locus": "§2.3 'Developmental space' ¶2",
    "modality": "interpretation",
    "date": "2026-08-09"
   },
   "D1443-05": {
    "kind": "archive",
    "quote": "That converts an internal warning into a design requirement with external validation.",
    "deposit": 1443,
    "source_label": "#1443 The Photograph of the Handwritten Original: A Field Survey and Problem Statement for Machine-Eligible Handwritten Artifacts (v3.6, deposit edition)",
    "record": "https://www.alexanarch.org/s/records/1443/",
    "locus": "§2.3 'Developmental space' ¶2",
    "modality": "interpretation",
    "date": "2026-08-09"
   },
   "F42": {
    "kind": "field",
    "quote": "whereas the I.PHI labels are on average 27 years off the ‘lower’ dating proposed by modern re-evaluations, Ithaca’s predictions are on average only 5 years off the newly proposed ground truths.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Main, 'Contributing to historical debates' ¶3",
    "modality": "documented"
   },
   "F43": {
    "kind": "field",
    "quote": "Ithaca’s average predicted date for all of these decrees is 421 bc",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Main, 'Contributing to historical debates' ¶4",
    "modality": "documented"
   },
   "F44": {
    "kind": "field",
    "quote": "Historians have already used the tool to reevaluate significant periods in Greek history.",
    "source": "B1",
    "source_label": "Google DeepMind — Predicting the past with Ithaca — Google DeepMind",
    "locus": "¶3 s4",
    "modality": "documented"
   },
   "F45": {
    "kind": "field",
    "quote": "Ithaca is designed to assist and expand the historian’s workflow. The architecture of Ithaca focuses on collaboration, decision support and interpretability.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Abstract s4–5",
    "modality": "stipulation"
   },
   "RF-17": {
    "kind": "archive",
    "quote": "designed to assist and expand the historian's workflow",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].stated_limits[0]",
    "modality": "attributed",
    "date": "2026-10-30"
   },
   "F46": {
    "kind": "field",
    "quote": "Rather, Ithaca is an assistive tool aiming to improve on and facilitate a scholarly process of induction, model uncertainty and propose possible solutions for the scholar to consider.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Methods, 'Data circularity'",
    "modality": "stipulation"
   },
   "F47": {
    "kind": "field",
    "quote": "none of Ithaca’s proposed restorations are assumed to be objectively certain—instead, they are presented as plausible suggestions.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Methods, 'Data circularity'",
    "modality": "self-description"
   },
   "F48": {
    "kind": "field",
    "quote": "The fact that Ithaca was trained on the largest available dataset of Greek epigraphic texts makes it possible to challenge or overcome individual biases or, indeed, errors in the existing academic tradition, notwithstanding the fact that the dataset in question is originally based on the accumulated academic tradition.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Methods, 'Contributing to historical debates' (the decrees)",
    "modality": "self-description"
   },
   "F49": {
    "kind": "field",
    "quote": "The limitations of discretizing and amalgamating date ranges of different levels of precision based on past scholarship have been noted",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Methods, 'Training on epigraphic tasks'",
    "modality": "self-description"
   },
   "D1443-06": {
    "kind": "archive",
    "quote": "Each of Q1–Q10 is answerable only where there is **a living author who can sign, date, photograph, enroll, attest, consent, and be asked again next year.** Vesuvius and Ithaca work on authors who cannot be consulted;",
    "deposit": 1443,
    "source_label": "#1443 The Photograph of the Handwritten Original: A Field Survey and Problem Statement for Machine-Eligible Handwritten Artifacts (v3.6, deposit edition)",
    "record": "https://www.alexanarch.org/s/records/1443/",
    "locus": "Part X, 'the enabling condition'",
    "modality": "interpretation",
    "date": "2026-08-09"
   },
   "F51": {
    "kind": "field",
    "quote": "our interdisciplinary team created an open-source and publicly available interface ( https://ithaca.deepmind.com ), enabling historians to use Ithaca for their personal research",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Conclusions ¶1",
    "modality": "documented"
   },
   "RF-03": {
    "kind": "archive",
    "quote": "https://ithaca.deepmind.com/",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].url",
    "modality": "documented",
    "date": "2026-10-30"
   },
   "F50": {
    "kind": "field",
    "quote": "Predicting the Past | Contextualising, restoring, and attributing ancient texts",
    "source": "B3",
    "source_label": "Predicting the Past — Predicting the Past",
    "locus": "title",
    "modality": "documented"
   },
   "F52": {
    "kind": "field",
    "quote": "we partnered with Google Cloud and Google Arts & Culture to launch a free interactive version of Ithaca . And to aid further research, we have also open sourced our code, the pretrained model, and an interactive Colaboratory notebook.",
    "source": "B1",
    "source_label": "Google DeepMind — Predicting the past with Ithaca — Google DeepMind",
    "locus": "¶4",
    "modality": "documented"
   },
   "F53": {
    "kind": "field",
    "quote": "The Ithaca web interface was developed by Justin Grayston, Benjamin Maynard, and Ricardo Cardenas from Google Cloud.",
    "source": "B1",
    "source_label": "Google DeepMind — Predicting the past with Ithaca — Google DeepMind",
    "locus": "Notes",
    "modality": "documented"
   },
   "RF-22": {
    "kind": "archive",
    "quote": "an interactive interface (the saved page is a JavaScript application); the paper is open in Nature",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].data_access",
    "modality": "documented",
    "date": "2026-10-30"
   },
   "RF-30": {
    "kind": "archive",
    "quote": "[\"the interface (JavaScript)\", \"the training corpus\"]",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].unchecked",
    "modality": "documented",
    "date": "2026-10-30"
   },
   "F54": {
    "kind": "field",
    "quote": "Ithaca’s training and inference source code is available at GitHub ( https://github.com/deepmind/ithaca ) under Apache License 2.0, along with the trained weights, licensed under Creative Commons Attribution-ShareAlike 4.0 International.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Code availability",
    "modality": "documented"
   },
   "F55": {
    "kind": "field",
    "quote": "Open Access This article is licensed under a Creative Commons Attribution 4.0 International License",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Rights and permissions",
    "modality": "documented"
   },
   "RF-23": {
    "kind": "archive",
    "quote": "not read",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].license",
    "modality": "documented",
    "date": "2026-10-30"
   },
   "F56": {
    "kind": "field",
    "quote": "The closest work to Ithaca is our 2019 research on ancient text restoration: Pythia",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Methods, 'Previous work' ¶2",
    "modality": "documented"
   },
   "F57": {
    "kind": "field",
    "quote": "The work builds on another text analysis network that DeepMind released in 2019, named Pythia.",
    "source": "B5",
    "source_label": "Wikipedia — Google DeepMind §Others, 'Archaeology' (no article 'Ithaca (neural network)' or similar; 'Ithaca' a disambiguation page that does not list the model)",
    "locus": "Google DeepMind §Others, Archaeology s3",
    "modality": "documented"
   },
   "F58": {
    "kind": "field",
    "quote": "Ithaca is to our knowledge the first epigraphic restoration and attribution model of its kind.",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Conclusions ¶1",
    "modality": "self-description"
   },
   "F59": {
    "kind": "field",
    "quote": "we are currently working on versions of Ithaca trained on other ancient languages and historians can already use their datasets in the current architecture to study other ancient writing systems, from Akkadian to Demotic and Hebrew to Mayan",
    "source": "B1",
    "source_label": "Google DeepMind — Predicting the past with Ithaca — Google DeepMind",
    "locus": "'Contributing to historical debates' ¶4",
    "modality": "documented"
   },
   "F60": {
    "kind": "field",
    "quote": "The team is working on extending the model to other ancient languages, including Demotic , Akkadian , Hebrew , and Mayan .",
    "source": "B5",
    "source_label": "Wikipedia — Google DeepMind §Others, 'Archaeology' (no article 'Ithaca (neural network)' or similar; 'Ithaca' a disambiguation page that does not list the model)",
    "locus": "Google DeepMind §Others, Archaeology s7",
    "modality": "documented"
   },
   "RF-28": {
    "kind": "archive",
    "quote": "Aeneas is DeepMind's later model for Latin inscriptions",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].relations[0]",
    "modality": "documented",
    "date": "2026-10-30"
   },
   "RF-31": {
    "kind": "archive",
    "quote": "What evidence does each resource hold on when and from what the New Testament writings were composed, and how do machines now read those texts?",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json organizing_question",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-18": {
    "kind": "archive",
    "quote": "how accurately a model restores, places and dates Greek inscriptions, and how much it helps historians",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].answers[0]",
    "modality": "interpretation",
    "date": "2026-10-30"
   },
   "RF-19": {
    "kind": "archive",
    "quote": "the dating of manuscripts or literary works",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].does_not_answer[0]",
    "modality": "interpretation",
    "date": "2026-10-30"
   },
   "RF-20": {
    "kind": "archive",
    "quote": "anything on the New Testament",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].does_not_answer[1]",
    "modality": "interpretation",
    "date": "2026-10-30"
   },
   "RF-21": {
    "kind": "archive",
    "quote": "Machine dating of Greek text: inscriptions, not manuscripts. A method the dating workstream can watch; it bears on the thesis only as machine dating moves toward literary and papyrus evidence.",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].rf_intersection",
    "modality": "interpretation",
    "date": "2026-10-30"
   },
   "RF-26": {
    "kind": "archive",
    "quote": "NOT a manuscript-dating model",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].negative_tags[0]",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-27": {
    "kind": "archive",
    "quote": "NOT a New Testament resource",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json rows[slug == 'ithaca'].negative_tags[1]",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "RF-32": {
    "kind": "archive",
    "quote": "Revelation First ≠ Revelation Early. The pre-70 date is the old argument (Robinson, 1976; Gentry, 1989); Revelation First is the priority thesis: the rest of the New Testament unfolds from the Apocalypse.",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "census.json correction",
    "modality": "stipulation",
    "date": "2026-10-30"
   },
   "F61": {
    "kind": "field",
    "quote": "the methods introduced in this research apply to all disciplines dealing with ancient text (papyrology, numismatics, codicology), to any language (ancient or modern)",
    "source": "B4",
    "source_label": "Nature — Restoring and attributing ancient texts using deep neural networks | Nature",
    "locus": "Conclusions ¶2",
    "modality": "interpretation"
   },
   "RF-33": {
    "kind": "archive",
    "quote": "restoration, place and date for Greek inscriptions, within 30 years of ground truth",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "questions.json questions[id == 'machine-dating'].resources[slug == 'ithaca'].role",
    "modality": "interpretation",
    "date": "2026-10-30"
   },
   "RF-34": {
    "kind": "archive",
    "quote": "Machine dating is calibrated on a corpus. What it establishes holds for that corpus and that kind of evidence.",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "questions.json questions[id == 'machine-dating'].why",
    "modality": "interpretation",
    "date": "2026-10-30"
   },
   "RF-35": {
    "kind": "archive",
    "quote": "None of the four dates a New Testament papyrus or a composition; each dates or reads copies within its own corpus.",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
    "locus": "questions.json questions[id == 'machine-dating'].gap",
    "modality": "interpretation",
    "date": "2026-10-30"
   },
   "CAP-1-06": {
    "kind": "archive",
    "quote": "The Overview gives the model, its three tasks with their figures, how it is built and where it can be used, from its maker, its code and its paper.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
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    "modality": "interpretation",
    "date": "2026-10-31"
   },
   "CAP-1-01": {
    "kind": "archive",
    "quote": "THE MODEL HELD. 'Restores missing or damaged characters with 62% accuracy on its own (raising human historian accuracy from 25% to 72% when collaborating)', 'with 71% accuracy', 'within 30 years of their true historical creation date': the record's figures, from the Nature abstract.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, findings[0]",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-11": {
    "kind": "archive",
    "quote": "Google DeepMind named; no person; no identifier; DeepMind's page, the code and the Nature paper cited.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, per_note",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-17": {
    "kind": "archive",
    "quote": "{\"M\": 0.0, \"C\": 1.0, \"D\": 0.0, \"PER\": 0.105}",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, per_dim.scores",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "RF-29": {
    "kind": "archive",
    "quote": "the composition layer's account of the resource at its common name, signed out, seated in the Capture Registry with its dimensional PER; the address carries a disambiguator, the bare name being shared",
    "deposit": null,
    "source_label": "Revelation First meta-aggregator record: Ithaca (https://www.revelationfirst.com/aggregators/ithaca/), editor Lee Sharks, census compiled 2026-10-30, schema 1.0 ('field census 1.0')",
    "record": "https://www.revelationfirst.com/aggregators/ithaca/",
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    "modality": "documented",
    "date": "2026-10-30"
   },
   "CAP-1-02": {
    "kind": "archive",
    "quote": "THE STATED LIMIT AS FIGURES. The paper's own frame, 'Ithaca is designed to assist and expand the historian’s workflow', is carried only by the collaboration figures.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, findings[1]",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-03": {
    "kind": "archive",
    "quote": "The redating of key texts of Classical Athens, the record's second finding, is absent.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, findings[1]",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-05": {
    "kind": "archive",
    "quote": "THE DATE OF THE MODEL ABSENT. The paper is of 2022; the composition gives no year.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, findings[3]",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-15": {
    "kind": "archive",
    "quote": "Institution absent: the 'academic partners' are not named.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, per_dim.read.notes",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-13": {
    "kind": "archive",
    "quote": "One departure noted, not charged: 'within 30 years of their true historical creation date' inflates the record's 'ground-truth ranges' (the epigraphers' proposed dates, L84, L191); the record's commitment that restorations are plausible suggestions, never certain, is not carried.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, per_dim.read.notes",
    "modality": "interpretation",
    "date": "2026-10-31"
   },
   "CAP-1-04": {
    "kind": "archive",
    "quote": "FIGURES BEYOND THE RECORD. 'across 84 regions', the architecture ('stacked transformer decoder blocks and sparse multi-head attention'), the PHI dataset and 'the Apache-2.0 license' come from the GitHub and Nature cards; the record did not read the licence.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, findings[2]",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-14": {
    "kind": "archive",
    "quote": "Commitments present: the open-sourcing under Apache-2.0 is carried as the model's own (the CC BY-SA weights and the public interface's purpose are not).",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, per_dim.read.notes",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-16": {
    "kind": "archive",
    "quote": "Deposit chain present: the interface's current home, Predicting the Past, is offered as the way to the work, and the closing offer ties Ithaca to 'newer models like Aeneas' (the record: upgraded in July 2025 to be powered by Aeneas).",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, per_dim.read.notes",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-10": {
    "kind": "archive",
    "quote": "A baseline: the record was built on revelationfirst.com the day before and no card cites it.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, q_kind",
    "modality": "documented",
    "date": "2026-10-31"
   },
   "CAP-1-07": {
    "kind": "archive",
    "quote": "A model is composed by its benchmark, accurately.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, analysis",
    "modality": "interpretation",
    "date": "2026-10-31"
   },
   "CAP-1-08": {
    "kind": "archive",
    "quote": "What the field takes from Ithaca is the scale of the error: a machine dates an inscription to within thirty years and no closer, which is the same margin as Enoch's for the scrolls.",
    "deposit": null,
    "source_label": "Capture Registry (EA-WG-CAPTURES-01), entry ithaca-deepmind-aio-20261031 (OBS-5e8377899856, AXN:0B36.CAPTURE.🟢🌗🏠📦🕗⭐)",
    "record": "https://www.alexanarch.org/captures/ithaca-deepmind-aio-20261031/",
    "locus": "ithaca-deepmind-aio-20261031, analysis",
    "modality": "interpretation",
    "date": "2026-10-31"
   }
  },
  "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, 2026-10-31: 'lets build those /non rows'; the Revelation First meta-aggregator entity (revelationfirst.com/aggregators/ithaca/)",
 "stage": "composed 2026-10-31 under EA-NEGONT-02 v0.9, #1690, equal case, ρ = extends (draft, not frozen; ledgers unaudited, one extractor; checked by the session and the page builder)",
 "date": "2026-10-31",
 "status": {
  "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the Revelation First census record, the capture record and the deposits that name the entity and apply an archive category to it (#1443, #1406); archive selected by D/R/O (string pass: D 53, R 8, O 37 candidates in 33 deposits, every one read; hop of 35 from #1443 read; 2 deposits admitted, 8 claims), with the census record (35 claims) and the Capture Registry's findings, reading, analysis, query note, PER note and PER-dim notes and scores (17 claims) ledgered as the archive's records of the entity; the field B by origin (4 cards, the entity's, one unreachable; no own page outside the rail; Wikipedia, no article, the section of 'Google DeepMind' and the disambiguation page); 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 62/62 verified by script against the saved page texts, the interface page's meta text, the card snippet and the Wikipedia texts; archive quotes 60/60 verified against the registry, census.json, questions.json and the deposit texts",
  "frozen": false,
  "breaches": []
 },
 "addresses": [
  {
   "address": "Ithaca DeepMind",
   "address_url": "https://www.alexanarch.org/addresses/ithaca-deepmind/",
   "register": []
  }
 ],
 "counts": {
  "ko_sentences": 30,
  "p_words": 321,
  "field_claims": 62,
  "archive_claims": 60,
  "ko_field_claims_cited": 62,
  "ko_archive_claims_cited": 60,
  "admitted_deposits": 2,
  "register_addresses": 0,
  "traversal": {
   "D_sentences": 53,
   "D_deposits": 23,
   "R_sentences": 8,
   "R_deposits": 5,
   "O_direct": 9,
   "O_class": 28,
   "O_deposits": 32,
   "H_candidates": 35
  }
 },
 "links": {
  "record": "https://www.alexanarch.org/non/ithaca/",
  "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/ithaca.json",
  "archive_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/ithaca/ledger-archive.json",
  "field_ledger": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/ledgers/ithaca/field.json",
  "selection": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/ithaca/",
  "traversal": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/ithaca/",
  "traversal_summary": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/ithaca/summary.json",
  "reading": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/traversal/ithaca/reading.json",
  "configuration": "https://www.alexanarch.org/datasets/negative-of-the-negative/v2/panel/configs/ithaca.json",
  "address_page": "https://www.alexanarch.org/addresses/ithaca-deepmind/",
  "field_record": "https://www.revelationfirst.com/aggregators/ithaca/",
  "dataset": "https://huggingface.co/datasets/leesharks/negative-of-the-negative"
 },
 "row_sha256": "f770a6a3456d76e23f0dfa7d61103d1b849962f942b28c169c6defb00b107ef9",
 "record_url": "https://www.alexanarch.org/non/ithaca/",
 "json_url": "https://www.alexanarch.org/non/ithaca/entity.json",
 "spec": "https://www.alexanarch.org/s/records/1690/",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "license": "CC BY 4.0"
}