[
 {
  "id": "TLL-01",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's name for the entity",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].name",
  "quote": "The Literary History of Artificial Intelligence",
  "kernel": false,
  "const": false,
  "lineage": "what it is",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (name)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-02",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's other names: Literary AI; The Literary History of AI; On Literary AI (the about page's head)",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].aka",
  "quote": "On Literary AI",
  "kernel": false,
  "const": false,
  "lineage": "what it is",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (aka)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-03",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's address for the entity: the exhibit's about page",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].url",
  "quote": "https://literaryai.library.columbia.edu/about/",
  "kernel": false,
  "const": false,
  "lineage": "what it is",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (url)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F1",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-04",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's operator: three Columbia units; copyright Columbia University Libraries",
  "kind": "attribution",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].operator",
  "quote": "a collaboration between the Columbia English Department, the Columbia University Rare Books & Manuscript Library and Columbia University's Digital Scholarship department; the site is copyright Columbia University Libraries",
  "kernel": false,
  "const": false,
  "lineage": "what it is",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (operator)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F2",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-05",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's kind for the entity",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].kind",
  "quote": "a Columbia RBML exhibit, online in eight cases, on the long shared history of literature and computation through the Columbia Library's holdings",
  "kernel": false,
  "const": false,
  "lineage": "what it is",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (kind)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F3",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-06",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's area: field history",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].areas",
  "quote": "field-history",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (areas)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-07",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the census's area defined",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json areas.field-history",
  "quote": "Field history and indexes of electronic, generative and computational literature",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (TOP.areas.field-history)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-08",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "what the exhibit is to the census: historical lineage",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].host_relation",
  "quote": "historical lineage",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (host_relation)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-09",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record type: an exhibition",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].record_type",
  "quote": "exhibition",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (record_type)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-10",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the question the exhibit answers for the census",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].question",
  "quote": "What devices, manuals and programs for producing and analysing literature preceded machine-learning text generation, as held in Columbia's library, circa 1890–1970 (field history)?",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (question)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-11",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the census's organizing question",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json organizing_question",
  "quote": "How is literature addressed to a receiving apparatus, what does that apparatus make from it, and how can transmission, transformation and provenance be inspected across later reception?",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (TOP.organizing_question)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-12",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the census's admission rule",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json admission_rule",
  "quote": "A row is an aggregator: a resource that gathers and holds many other works or records and says what it holds (operator, 2026-11-01).",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (TOP.admission_rule)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-13",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's unit: an exhibited item, in eight cases",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].unit",
  "quote": "an exhibited item from the Columbia Library's holdings (a manual, device, patent, program or analysis), arranged in eight cases",
  "kernel": false,
  "const": false,
  "lineage": "what it is",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (unit)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F25",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-14",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "what the exhibit records, after the about page",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].record_object",
  "quote": "from plot generators (Wycliffe Hill's Plot Genie, William Wallace Cook's Plotto) to Christopher Strachey's love letter program and Margaret Masterman's machine translation work",
  "kernel": false,
  "const": false,
  "lineage": "the first story: production",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (record_object)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F13",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-15",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "in the layer: not applicable; no text entering a model is recorded",
  "kind": "interpretation",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].record.in_layer",
  "quote": "not applicable: the exhibition holds library items of circa 1890–1970 and records no text entering a machine-learning model; its about page draws a line from these materials to contemporary machine learning-based tools",
  "kernel": true,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (record.in_layer)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-16",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "name: the exhibit names its items' authors and inventors; its attribution of machine-written prose and poetry not recorded",
  "kind": "interpretation",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].record.name",
  "quote": "the exhibit names the authors and inventors of its items (Wycliffe Hill, William Wallace Cook, Arthur Blanchard, Henrietta Rose Montague, Christopher Strachey, Margaret Masterman, Harriot Fansler, Georges Polti); how it attributes the machine-written prose and poetry it shows is not recorded on the saved page",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (record.name)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-17",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "readback: an online exhibit of eight cases; the cases unread",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].record.readback",
  "quote": "the items are shown in an online exhibit of eight cases, built with Minicomp/Wax, with a GitHub link; the cases themselves are unread",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (record.readback)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F27",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-18",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "makes: algorithmic composition, generated plots and analyses that sort narrative into types, recorded as production and analysis",
  "kind": "interpretation",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].record.makes",
  "quote": "in the exhibit's terms, 'algorithmic composition, such as prose and poetry written by machines', plots produced by plot generators with 'spinning devices or automatic number generators', and analyses that sort narrative into types; it records these as production and analysis",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (record.makes)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F7",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-19",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record's method",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].method",
  "quote": "a curated library exhibition drawn from the Columbia Library's holdings, arranged along two stories, production and analysis",
  "kernel": false,
  "const": false,
  "lineage": "two stories",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (method)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F8",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-20",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "geography not recorded",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].coverage.geography",
  "quote": "not recorded; the holdings are Columbia University's",
  "kernel": false,
  "const": false,
  "lineage": "timeline and stated limits",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (coverage.geography)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-21",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the count: eight cases, as of the about page read 2026-11-01",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].count.value",
  "quote": "eight cases",
  "kernel": false,
  "const": false,
  "lineage": "what it is",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (count.value)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F25",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-22",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the holdings the record lists, among them Strachey's program and early patents",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].holdings",
  "quote": "Christopher Strachey's 1940s love letter program",
  "kernel": false,
  "const": false,
  "lineage": "early programs: Strachey and Masterman",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (holdings)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F13",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-23",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "stated limits: the timeline and Columbia's holdings",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].stated_limits",
  "quote": "the timeline runs 'from circa 1890–1970'",
  "kernel": false,
  "const": false,
  "lineage": "timeline and stated limits",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (stated_limits)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F6",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-24",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "what the record answers: Columbia's manuals, devices, patents and early programs, and the exhibit's own line to NLP",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].answers",
  "quote": "how the exhibit relates early writing techniques to later natural language processing, in its own account",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (answers)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-25",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "what the record does not answer: whether a text entered a model; anything after 1970 beyond the page's claims; the attribution of generated text",
  "kind": "interpretation",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].does_not_answer",
  "quote": "whether any particular text entered a machine-learning model",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (does_not_answer)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-26",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the attribution of generated text in the items shown is unanswered: the cases are unread",
  "kind": "interpretation",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].does_not_answer",
  "quote": "how generated text is attributed in the items shown (the cases are unread)",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (does_not_answer)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-27",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the archive's reading: a historical resource for #186's procedural lineage, where the machine is method and, in Strachey's program, writer",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].tll_reading",
  "quote": "A historical field resource for #186's procedural lineage, the delegation of composition to devices and systems, where the machine is method and, in Strachey's program, writer.",
  "kernel": true,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (tll_reading)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-28",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the archive's reading: the machine reader of #186's fourth column is outside what it holds",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].tll_reading",
  "quote": "Its timeline closes about 1970 and it records no text entering a model; the machine reader of #186's fourth column is outside what it holds.",
  "kernel": true,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (tll_reading)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-29",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "data access: public online exhibit, source on GitHub, unread",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].data_access",
  "quote": "public online exhibit; source on GitHub (linked, unread)",
  "kernel": false,
  "const": false,
  "lineage": "licence, copyright and build",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (data_access)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F28",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-30",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "licence: CC-BY 4.0",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].license",
  "quote": "'Contents offered with a CC-BY 4.0 International License'",
  "kernel": false,
  "const": false,
  "lineage": "licence, copyright and build",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (license)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F26",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-31",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "lifecycle historical: an online exhibit, copyright 2022; a physical exhibit not recorded",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].lifecycle.detail",
  "quote": "an online exhibit, copyright 2022; whether a physical exhibit ran, and when, is not recorded on the saved page",
  "kernel": false,
  "const": false,
  "lineage": "licence, copyright and build",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (lifecycle.detail)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F26",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-32",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "founded: not stated; copyright 2022",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].founded",
  "quote": "not stated; the site's copyright line is 2022",
  "kernel": false,
  "const": false,
  "lineage": "licence, copyright and build",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (founded)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms",
  "basis": {
   "field_source": "B3",
   "field_claim": "F26",
   "note": "the record restates the field source: one lineage, the field source keeping the earliest date (§3.6)"
  }
 },
 {
  "id": "TLL-33",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "not evidence that a text entered a model",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].negative_tags",
  "quote": "NOT evidence that any text entered a model: it is a library exhibition of circa 1890–1970 material",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (negative_tags)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-34",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "not a corpus or dataset",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].negative_tags",
  "quote": "NOT a corpus or dataset",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (negative_tags)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-35",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "not a record of writing addressed to a machine reader: the machine as method or writer",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].negative_tags",
  "quote": "NOT a record of writing addressed to a machine reader: its items treat the machine as method or writer",
  "kernel": false,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (negative_tags)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-36",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "unchecked: the eight cases and the credits, item records, attribution of generated texts, the exhibit's dates",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].unchecked",
  "quote": "the eight exhibit cases and the credits page (linked and unsaved): item-level records, how generated texts are attributed, and the exhibit's dates",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (unchecked)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-37",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "unchecked: whether a physical exhibition ran, and when",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].unchecked",
  "quote": "whether a physical exhibition ran at the Rare Book & Manuscript Library, and when",
  "kernel": false,
  "const": false,
  "lineage": "licence, copyright and build",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (unchecked)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-39",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "what the record does not answer: anything after circa 1970 beyond the page's claims of influence",
  "kind": "interpretation",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].does_not_answer",
  "quote": "anything after circa 1970, beyond the about page's claims of influence on contemporary tools",
  "kernel": false,
  "const": false,
  "lineage": "the record in the layer",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (does_not_answer)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "TLL-38",
  "dep": "TLL",
  "record": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai",
   "label": "TLL"
  },
  "claim": "the record states no relation to another census row",
  "kind": "fact",
  "modality": "documented",
  "strata": [
   "D"
  ],
  "locus": "census.json rows[slug == 'literary-ai'].relations",
  "quote": "[]",
  "kernel": false,
  "const": false,
  "lineage": "the record's question and kind",
  "date": "2026-11-01",
  "title": "traininglayerliterature.org layer census record: The Literary History of Artificial Intelligence (https://www.traininglayerliterature.org/aggregators/literary-ai), editor Lee Sharks, compiled 2026-11-01, schema 1.1",
  "creator": "Lee Sharks (editor)",
  "file": "/home/claude/fleet/traininglayerliterature-org/data/layer-census/census.json (relations)",
  "quote_ok": true,
  "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)",
  "entity": "literary-ai",
  "surface": {
   "url": "https://www.traininglayerliterature.org/aggregators/literary-ai"
  },
  "note": "the layer census was compiled in session on 2026-11-01 from sources saved that day (data/layer-census/sources, sha256 in the manifest); its row file is data/layer-census/rows/literary-ai.py; tll_reading is the archive's reading, kept apart from the resource's own terms"
 },
 {
  "id": "CAP-1-01",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the innocent reading: the title is also a field's name, and the Overview writes that field's history, the exhibit in its second era",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, reading",
  "quote": "Given a title that is also a phrase naming a field of study, the Overview writes the history the phrase names, in three eras, and mentions the exhibit in the second.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-02",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the title answered as its topic, from Homer to transformers; the first card Cambridge's",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[0]",
  "quote": "THE TITLE ANSWERED AS ITS TOPIC. The composition runs 'thousands of years', from 'Homer’s Iliad (describing golden handmaidens forged by Hephaestus)' to 'contemporary transformer-based text generation'; its first card is Cambridge's 'From Homer to HAL: 3000 years of AI narratives'.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-03",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the first and third eras have no counterpart on the exhibit's page",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[0]",
  "quote": "The first and third eras have no counterpart on that page.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-04",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the exhibit's dates head the second era, which opens on Polti",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[1]",
  "quote": "THE EXHIBIT'S TIMELINE AS GENERAL HISTORY. The second era is headed with the exhibit's dates, 'Early 20th-Century Writing Machines and Manuals (c. 1890–1970)', and opens on one of its items, 'Georges Polti published The 36 Dramatic Situations (1895)'",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-05",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "machine-written prose and poetry carried; the two stories not; Polti without his place in the second story",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[1]",
  "quote": "The page's 'prose and poetry written by machines' is carried; its two stories, 'production and analysis', are not, and Polti stands as an author of plots with no place in the exhibit's second story, 'the use of algorithms to analyze literature'.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-06",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the one plot device composed is on no saved page; machine composition begins at Dartmouth",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[2]",
  "quote": "The composition's one plot device is 'Robo the Game That Writes a Million Story Plots', on no saved page; its machine composition begins at 'The 1956 Dartmouth Workshop'.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-07",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "Strachey's program absent",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[2]",
  "quote": "Strachey's program, which the census row reads as the point where the machine is writer, is absent.",
  "kernel": true,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-08",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the one maker named is Columbia University",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[3]",
  "quote": "'Columbia University' is the one maker named.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-09",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the census's operator field names no person; the three curators are on a card the census did not save",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[3]",
  "quote": "The census row's operator field names departments and no person; the three names are on a card whose page the census did not save.",
  "kernel": false,
  "const": false,
  "lineage": "the project entry and its curators",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-10",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the composition's line runs back through symbolic and connectionist AI; its offer joins LLMs to plot generators",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[4]",
  "quote": "The composition's line runs 'back through decades of debate between rule-based symbolic AI and connectionist neural networks', and its offer is to 'focus on how modern LLMs relate to early plot generators'.",
  "kernel": false,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-11",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "the page's own line forward, to ML tools and the frames-or-grammar question",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, findings[4]",
  "quote": "THE LINE TO THE MODEL. The page draws its own line forward: early popular texts 'influence and shape contemporary, machine learning-based tools used in automating aviation accident reports and defense logistics', and a mid-century question 'whether programs should be written based on frames or grammar'.",
  "kernel": false,
  "const": false,
  "lineage": "the line to contemporary tools",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "CAP-1-12",
  "dep": "capture-registry",
  "record": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/",
   "label": "CAP"
  },
  "claim": "a topic answer: the exhibit one bullet; holdings, departments and Strachey's program not carried; three curators on a card",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "D"
  ],
  "locus": "the-literary-history-of-artificial-intelligence-aio-20261101, analysis",
  "quote": "A topic answer to the exhibit's title, in which the exhibit is one bullet and its own timeline heads a section of general history. Its holdings, its three departments and Strachey's program, the census row's machine as writer, are not carried; three curators surface on a card.",
  "kernel": true,
  "const": false,
  "lineage": "the composition at its name",
  "date": "2026-11-01",
  "title": "Capture Registry (EA-WG-CAPTURES-01), entry the-literary-history-of-artificial-intelligence-aio-20261101 (OBS-9942898f4ff2, AXN:0BB9.CAPTURE.♍🔓🟡🎭🌕🟣)",
  "creator": "Lee Sharks (the registry)",
  "file": "data/EA-WG-CAPTURES-01.json",
  "quote_ok": true,
  "quote_check": "within the entry's reading, findings and analysis as loaded (whitespace-normalised)",
  "surface": {
   "url": "https://www.alexanarch.org/captures/the-literary-history-of-artificial-intelligence-aio-20261101/"
  }
 },
 {
  "id": "O186-01",
  "dep": 186,
  "axn": "AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖",
  "claim": "training-layer literature defined apart from AI-generated literature (machine as writer), literature about AI (machine as subject) and procedural poetry (machine as method)",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "JSON-LD DefinedTerm, description (line 12)",
  "quote": "Distinct from AI-generated literature (machine as writer), literature about AI (machine as subject), and procedural or computational poetry (machine as method).",
  "kernel": true,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-06-11",
  "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey",
  "creator": "Johannes Sigil",
  "file": "data/texts/AXN-032C-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O186-02",
  "dep": 186,
  "axn": "AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖",
  "claim": "four practices, told apart by the direction of address",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§ How is writing for AI different (lines 28–30)",
  "quote": "The contemporary field sorts into four practices that are constantly confused with one another. The direction of address is the discriminator.",
  "kernel": false,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-06-11",
  "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey",
  "creator": "Johannes Sigil",
  "file": "data/texts/AXN-032C-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O186-03",
  "dep": 186,
  "axn": "AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖",
  "claim": "writing through AI: the machine as method or procedure",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "the four-practice table (line 30)",
  "quote": "Writing through AI | method/procedure | \"What does the algorithm reveal?\"",
  "kernel": false,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-06-11",
  "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey",
  "creator": "Johannes Sigil",
  "file": "data/texts/AXN-032C-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O186-04",
  "dep": 186,
  "axn": "AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖",
  "claim": "writing for AI: the machine as reader, the fourth column",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "the four-practice table (line 30)",
  "quote": "Writing for AI | reader | \"What should the machines learn, retrieve, and repeat?\"",
  "kernel": false,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-06-11",
  "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey",
  "creator": "Johannes Sigil",
  "file": "data/texts/AXN-032C-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O186-05",
  "dep": 186,
  "axn": "AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖",
  "claim": "four lineages converge on training-layer literature",
  "kind": "genealogy",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§ lineages (line 36)",
  "quote": "Training-layer literature did not appear from nowhere in the LLM era. Four twentieth-and-early-twenty-first-century lineages converge on it.",
  "kernel": false,
  "const": false,
  "lineage": "the procedural lineage",
  "date": "2026-06-11",
  "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey",
  "creator": "Johannes Sigil",
  "file": "data/texts/AXN-032C-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O186-06",
  "dep": 186,
  "axn": "AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖",
  "claim": "the procedural lineage established that composition can be delegated to systems; the machine is method, not yet addressee",
  "kind": "genealogy",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§ lineages, the procedural lineage (line 38)",
  "quote": "The procedural lineage — from the Oulipo through electronic literature to contemporary computational poetics — established that composition can be delegated to systems. … The machine here is method, not yet addressee — but the lineage normalized the machine's presence inside the poem.",
  "kernel": true,
  "const": false,
  "lineage": "the procedural lineage",
  "date": "2026-06-11",
  "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey",
  "creator": "Johannes Sigil",
  "file": "data/texts/AXN-032C-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O186-07",
  "dep": 186,
  "axn": "AXN:032C.GOVERNANCE.▶️⭕🕚🧲↙️🌖",
  "claim": "machine writer and human reader against human writer and machine reader",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "FAQ (line 80)",
  "quote": "AI-generated poetry has a machine writer and a human reader. Training-layer literature has a human writer and a machine reader (alongside human ones). The first asks what models can write; the second asks what they should read.",
  "kernel": false,
  "const": false,
  "lineage": "in the archive's terms",
  "date": "2026-06-11",
  "title": "Who Is Writing for the Machines? Training-Layer Literature: A Field Survey",
  "creator": "Johannes Sigil",
  "file": "data/texts/AXN-032C-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O1543-01",
  "dep": 1543,
  "axn": "AXN:0642.COMPOSITIONAL.🌸🏛️🪜♊🌹✖️",
  "claim": "training-layer literature's second wing: machine composition, what an encountered work makes it possible for a machine to write",
  "kind": "definition",
  "modality": "stipulation",
  "strata": [
   "O"
  ],
  "locus": "§1 The claim (line 81)",
  "quote": "Training-layer literature has been practiced and theorized as a literature of machine RECEPTION … This paper states the second wing, which the archive has been practicing without naming for seven months: machine COMPOSITION — what the encountered work makes it possible for a machine to WRITE.",
  "kernel": true,
  "const": false,
  "lineage": "machine composition",
  "date": "2026-08-25",
  "title": "Generative Uptake: Training-Layer Literature Extended from Machine Reading to Machine Composition (EA-TLL-COMPOSITION-01, v1.0)",
  "creator": "Sharks, Lee",
  "file": "data/texts/AXN-0642-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O1543-02",
  "dep": 1543,
  "axn": "AXN:0642.COMPOSITIONAL.🌸🏛️🪜♊🌹✖️",
  "claim": "novel composition and false provenance are different questions",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "§10, the discovery underneath (line 272)",
  "quote": "hallucination was too coarse a category because it treated novel composition and false provenance as the same defect. Did the machine write something new? and Did the machine tell the truth about where it came from? are different questions",
  "kernel": false,
  "const": false,
  "lineage": "machine composition",
  "date": "2026-08-25",
  "title": "Generative Uptake: Training-Layer Literature Extended from Machine Reading to Machine Composition (EA-TLL-COMPOSITION-01, v1.0)",
  "creator": "Sharks, Lee",
  "file": "data/texts/AXN-0642-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 },
 {
  "id": "O1680-01",
  "dep": 1680,
  "axn": "AXN:06F6.MPAI.🏗️🎶🟣🛤️🔬🫶",
  "claim": "procedural and constraint writing among the comparators of the archive's literary corpus",
  "kind": "interpretation",
  "modality": "interpretation",
  "strata": [
   "O"
  ],
  "locus": "F15 The literary corpus, Comparators (line 623)",
  "quote": "**Comparators.** Contemporary poetry and experimental prose; heteronymic oeuvres (Pessoa is the standard comparator); procedural and constraint writing (Oulipo); electronic literature.",
  "kernel": false,
  "const": false,
  "lineage": "the procedural lineage",
  "date": "2026-10-13",
  "title": "The Living Academy: Alexanarch, Function by Function — Mantle object with Metadata Packet for AI Indexing (EA-MPAI-ALEXANARCH-01 v0.5)",
  "creator": "Sharks, Lee",
  "file": "data/texts/AXN-06F6-text.md",
  "quote_ok": true,
  "quote_check": "within the deposit text as loaded (whitespace-normalised; parts joined by ' … ' checked each)"
 }
]