{
 "row": "coauthor",
 "address": "CoAuthor dataset",
 "addresses": [
  "CoAuthor dataset"
 ],
 "extracted": "2026-11-01",
 "extractor": "Claude (Opus 5.5), subagent, one extractor (unaudited, §3.8)",
 "rule": "v0.10 §3.5, source-neutral: opening or abstract, defined terms, headline claims, stated limits; quotes verbatim from the saved page texts (whitespace-normalised for the check; multi-part quotes joined by ' … ', each part checked), the saved Wikipedia wikitext and B7.txt, or the card's title and snippet on the transcript's rail; 53/53 verified by script",
 "B_note": "The field B (§0.4, §3.1(a)) in two pools, marked by origin and pool. B_D, the disclosed pool: the five cards on the transcript's rail (B1 the dataset's site, the census's unread home page; B2 the arXiv page, the census's one read source; B3 ACM, refused with HTTP 403; B4 GitHub, unreachable from this session; B5 alphaXiv); the body names no source beyond them. B_R, the reference pool: B6, the dataset's browse page (own page, linked from B1; not surfaced by T, not cited by the census); B7, Wikipedia (no article; the common noun redirects to Collaborative writing). No census_third_party source.",
 "lineage_note": "Lineages: what it is: a human-AI collaborative writing dataset of 1445 sessions (B1, B2); the session: prompt, writing, suggestions, editing (B1); keystroke-level logging and replay (B1, B5); purpose: the capabilities of language models, read from interaction (B1, B3); composition: genres, prompts and counts (B1, B5); the writers: crowd workers, held under identifiers (B1, B5, B6); the interface and its code (B1, B4); statistics of the sessions (B1); the share of text written by humans (B1); access: site, downloads, tutorials, paper (B1, B2); identifying the authors of sentences (B1); makers and venue (B1, B2, B3, B5); names and the paper (B2); the problem: capabilities context-dependent and subjectively interpreted (B2); the model as 'collaborator' under definitions of collaboration (B2); reception: a paper page and its generated overview (B5); the model instances: davinci at two randomness settings (B5); findings: language, ideation, collaboration (B5); collaboration measured: equality and mutuality, from ESL pair work (B5); ownership: the writer's share and the writer's sense of the text (B5); uses: hypotheses, training, design (B5); reception: the encyclopedia (B7); the homonym: collaborative writing between persons (B7). The census's fields that restate the arXiv page are one lineage with B2 (§3.6), which keeps the earliest date.",
 "pages": "saved files under datasets/negative-of-the-negative/v2/intake/coauthor-20261101/ (Bn.html raw, Bn.txt text; B2-census.html the census's saved copy beside this session's byte-identical fetch; B3-403.html the bot check; B4-proxy403.json the proxy's refusal; B7 .wiki and -search.json raw Wikipedia responses with B7.txt a record of codes and the extracted wikitext); sha256 per file in each source's 'files'",
 "field": [
  {
   "id": "B1",
   "origin": "card",
   "pool": "B_D",
   "role": "Overview card 1; the census's own page coauthor--home (unread by the census)",
   "card": "Stanford University — CoAuthor – Human-AI Collaborative Writing Dataset",
   "url": "https://coauthor.stanford.edu/",
   "kind": "Overview card (the dataset's own home page); the census's own page coauthor--home, which the census could not read",
   "files": {
    "B1.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B1.html",
     "sha256": "4399bed2d9244452091ad31175a0e56184afb3efceb8e5a9a3331ef795f3e750"
    },
    "B1.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B1.txt",
     "sha256": "0d08637b373ed3e9145fb3017d5d8683aa520360b71fa0ce627d24075266ed59"
    }
   },
   "fetched": {
    "at": "2026-11-01T06:15:10Z",
    "http": 200,
    "url": "https://coauthor.stanford.edu/",
    "agent": "Mozilla/5.0 (compatible; leesharks-authorship-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B1.html",
    "raw_sha256": "4399bed2d9244452091ad31175a0e56184afb3efceb8e5a9a3331ef795f3e750",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B1.txt"
    ],
    "tries": [
     "2026-11-01T06:14:23Z: curl with the agent string, TLS verification failed (curl 60, unable to get local issuer certificate), http 000, as the census recorded at 05:06:30Z",
     "2026-11-01T06:14:44Z: the same with the session CA bundle, the same failure; openssl showed the server presents its leaf certificate without the InCommon intermediate (issuer InCommon Intermediate CA - DVG2C)",
     "2026-11-01T06:15:10Z: the intermediate fetched from the address the certificate itself names (Authority Information Access, repository.emsign.com/certs/EEEMIncommonDVG2C.crt) and added to the verifying bundle, the chain verified to emSign Root TLS CA - G1: HTTP 200, 8321 bytes. The site served the page; the failure was an incomplete chain on the server, which browsers complete the same way, and no refusal was routed around."
    ],
    "census_copy": {
     "src": "coauthor--home",
     "http": "000",
     "fetched": "2026-11-01T05:06:30Z",
     "sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855",
     "bytes": 0,
     "agrees": "the census holds no text: its fetch failed with the TLS error (http 000, 0 bytes, the sha256 of the empty string)"
    }
   },
   "names_operator": "partly: its foot directs questions to 'Mina' and its links name 'Lee et al., 2022'; its HTML metadata names 'Mina Lee' as author",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, leesharks, EA-WG-CAPTURES-01 in the saved text or the card text)",
   "surfaced_by_T": true,
   "card_title": "CoAuthor – Human-AI Collaborative Writing Dataset",
   "card_snippet": "Types of writing - Creative & Argumentative Creative writing: 830 stories written by 58 writers Argumentative writing: 615 essays written by 49 writers Writing ...",
   "card_site": "Stanford University"
  },
  {
   "id": "B2",
   "origin": "card",
   "pool": "B_D",
   "role": "Overview card 2; the census's one read source coauthor--arxiv",
   "card": "arXiv — [2201.06796] CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities",
   "url": "https://arxiv.org/abs/2201.06796",
   "kind": "Overview card (the paper's arXiv abstract page); the census's source coauthor--arxiv",
   "files": {
    "B2.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B2.html",
     "sha256": "540bc42e51f2e67f2262d3f3b62afb10efdefd24f7b72925ea916ed4b26e3ff5"
    },
    "B2.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B2.txt",
     "sha256": "8fb965d65bbf036b62cf4e632a0a24a6931d5d2a2e431c2a6c155697f10e4932"
    },
    "B2-census.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B2-census.html",
     "sha256": "540bc42e51f2e67f2262d3f3b62afb10efdefd24f7b72925ea916ed4b26e3ff5"
    }
   },
   "fetched": {
    "at": "2026-11-01T06:15:20Z",
    "http": 200,
    "url": "https://arxiv.org/abs/2201.06796",
    "agent": "Mozilla/5.0 (compatible; leesharks-authorship-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B2.html",
    "raw_sha256": "540bc42e51f2e67f2262d3f3b62afb10efdefd24f7b72925ea916ed4b26e3ff5",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B2.txt"
    ],
    "census_copy": {
     "src": "coauthor--arxiv",
     "sha256": "540bc42e51f2e67f2262d3f3b62afb10efdefd24f7b72925ea916ed4b26e3ff5",
     "read": "2026-11-01",
     "fetched": "2026-11-01T05:07:05Z",
     "http": "200",
     "copied_as": [
      "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B2-census.html",
      "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B2.txt"
     ],
     "agrees": "byte-identical: this session's fetch and the census copy have the same sha256; B2.txt is the census's extracted text"
    }
   },
   "names_operator": "yes: the three authors (F17)",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, leesharks, EA-WG-CAPTURES-01 in the saved text or the card text)",
   "surfaced_by_T": true,
   "card_title": "[2201.06796] CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities",
   "card_snippet": "Dataset: CoAuthor (designed for revealing GPT-3's capabilities in creative and argumentative writing). Participants: 63 writers and 4 instances of GPT-3. Sessio...",
   "card_site": "arXiv"
  },
  {
   "id": "B3",
   "origin": "card",
   "pool": "B_D",
   "role": "Overview card 3",
   "card": "ACM Digital Library — CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities | Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",
   "url": "https://dl.acm.org/doi/10.1145/3491102.3502030",
   "kind": "Overview card (the paper's ACM Digital Library page); unreachable (HTTP 403, a bot check)",
   "files": {
    "B3-403.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B3-403.html",
     "sha256": "ef655ac9eabcebde6fcdb6fe81008112129cf734991a4bf0b9f3c365807fd9e2"
    }
   },
   "fetched": {
    "at": "2026-11-01T06:15:20Z",
    "http": 403,
    "url": "https://dl.acm.org/doi/10.1145/3491102.3502030",
    "agent": "Mozilla/5.0 (compatible; leesharks-authorship-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B3-403.html",
    "raw_sha256": "ef655ac9eabcebde6fcdb6fe81008112129cf734991a4bf0b9f3c365807fd9e2",
    "text": [],
    "unreachable": "HTTP 403, a bot check ('Just a moment...', the challenge page saved as B3-403.html); not retried with another agent string or by any other route. The card's title and snippet stand as its only text. The DOI is the arXiv page's related DOI and the alphaXiv BibTeX's.",
    "tries": [
     "2026-11-01T06:14:24Z: HTTP 403, 5578 bytes",
     "2026-11-01T06:15:20Z: HTTP 403, 5578 bytes (saved)"
    ]
   },
   "names_operator": "no in its card title and snippet",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, leesharks, EA-WG-CAPTURES-01 in the saved text or the card text)",
   "surfaced_by_T": true,
   "card_title": "CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities | Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",
   "card_snippet": "CoAuthor Dataset: Human-AI collaborative writing interactions (63 writers, 4 GPT-3 instances, 1445 writing sessions). Purpose: Reveal GPT-3 capabilities in crea...",
   "card_site": "ACM Digital Library"
  },
  {
   "id": "B4",
   "origin": "card",
   "pool": "B_D",
   "role": "Overview card 4",
   "card": "GitHub — GitHub - minalee-research/coauthor-interface",
   "url": "https://github.com/minalee-research/coauthor-interface",
   "kind": "Overview card (the interface's code repository); unreachable from this session (HTTP 403 from the session's egress proxy)",
   "files": {
    "B4-proxy403.json": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B4-proxy403.json",
     "sha256": "b3e03aaaff81d68730d67392a135ac3fdfdf022880c66632ab188d2fe084cda3"
    }
   },
   "fetched": {
    "at": "2026-11-01T06:15:20Z",
    "http": 403,
    "url": "https://github.com/minalee-research/coauthor-interface",
    "agent": "Mozilla/5.0 (compatible; leesharks-authorship-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B4-proxy403.json",
    "raw_sha256": "b3e03aaaff81d68730d67392a135ac3fdfdf022880c66632ab188d2fe084cda3",
    "text": [],
    "unreachable": "HTTP 403 from this session's egress proxy, which does not admit this repository (its JSON message saved as B4-proxy403.json); GitHub itself was not reached. Not retried by another route. The card's title and snippet stand as its only text.",
    "tries": [
     "2026-11-01T06:14:25Z: HTTP 403, 378 bytes",
     "2026-11-01T06:15:20Z: HTTP 403, 378 bytes (saved)"
    ]
   },
   "names_operator": "the repository's owner is 'minalee-research' in its title",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, leesharks, EA-WG-CAPTURES-01 in the saved text or the card text)",
   "surfaced_by_T": true,
   "card_title": "GitHub - minalee-research/coauthor-interface",
   "card_snippet": "This repository contains the code for the interface of CoAuthor. The interface comes in two parts: (1) the frontend presented to the users for writing with AI a...",
   "card_site": "GitHub"
  },
  {
   "id": "B5",
   "origin": "card",
   "pool": "B_D",
   "role": "Overview card 5",
   "card": "alphaXiv — CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv",
   "url": "https://www.alphaxiv.org/abs/2201.06796",
   "kind": "Overview card (a third-party paper page, with an overview of the paper the page heads 'AI Overview')",
   "files": {
    "B5.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B5.html",
     "sha256": "d6c9c291b6d7865567980f89e0900a6f24d237793e70be78fce2f72d6cde477a"
    },
    "B5.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B5.txt",
     "sha256": "3a528bbab0face5aa2a3bdea8d34f4605022b99427721cebbea1feecfb698b6a"
    }
   },
   "fetched": {
    "at": "2026-11-01T06:15:20Z",
    "http": 200,
    "url": "https://www.alphaxiv.org/abs/2201.06796",
    "agent": "Mozilla/5.0 (compatible; leesharks-authorship-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B5.html",
    "raw_sha256": "d6c9c291b6d7865567980f89e0900a6f24d237793e70be78fce2f72d6cde477a",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B5.txt"
    ]
   },
   "names_operator": "yes: the three authors and their affiliations (F31)",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, leesharks, EA-WG-CAPTURES-01 in the saved text or the card text)",
   "surfaced_by_T": true,
   "card_title": "CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv",
   "card_snippet": "Process-Oriented Data Collection: Rather than simply collecting final outputs, CoAuthor records every interaction as timestamped events, including text insertio...",
   "card_site": "alphaXiv"
  },
  {
   "id": "B6",
   "origin": "own_page",
   "pool": "B_R",
   "role": "the dataset's own browse page, linked from B1; not surfaced by T and not cited by the census",
   "card": "CoAuthor — Browse CoAuthor (coauthor.stanford.edu/browse/)",
   "url": "https://coauthor.stanford.edu/browse/",
   "kind": "the dataset's own page: a table of its writing sessions with replay links",
   "files": {
    "B6.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B6.html",
     "sha256": "1f1edc8b976448d973923f9b34bf55830e6f3538ae244b6ed8355d4899a18243"
    },
    "B6.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B6.txt",
     "sha256": "4bd0ea289e1eea7f5b4862315a997b8ed60cdbcaec69e7e9e06af7396a6a817b"
    }
   },
   "fetched": {
    "at": "2026-11-01T06:15:40Z",
    "http": 200,
    "url": "https://coauthor.stanford.edu/browse/",
    "agent": "Mozilla/5.0 (compatible; leesharks-authorship-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B6.html",
    "raw_sha256": "1f1edc8b976448d973923f9b34bf55830e6f3538ae244b6ed8355d4899a18243",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B6.txt"
    ],
    "note": "the same chain completion as B1"
   },
   "names_operator": "no",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, leesharks, EA-WG-CAPTURES-01 in the saved text or the card text)",
   "surfaced_by_T": false
  },
  {
   "id": "B7",
   "origin": "wikipedia",
   "pool": "B_R",
   "role": "Wikipedia: no article on the dataset; the common noun 'Coauthor' redirects to Collaborative writing",
   "card": "Wikipedia — CoAuthor (no article; 'Coauthor' redirects to Collaborative writing)",
   "url": "https://en.wikipedia.org/wiki/CoAuthor",
   "kind": "Wikipedia record: the HTTP responses, the redirect of the common noun and the article it reaches",
   "files": {
    "B7.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7.txt",
     "sha256": "83d3a44779d480100cd725d7582e0b556c750fd360b34da95977767ecef9e768"
    },
    "B7.wiki": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7.wiki",
     "sha256": "fa40caeaff8fc0d8e95b279dcccc60427638e6dde759da63dcc72442650a9f62"
    },
    "B7-dataset.wiki": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7-dataset.wiki",
     "sha256": "aaae19421ab80e981e382c1954b72f0364d9a8891890663bfa3e1078ece42843"
    },
    "B7-redirect.wiki": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7-redirect.wiki",
     "sha256": "33329ac7e00f45da89e088e9610e069cfdaba11a0fc364f6587b16c7389fd689"
    },
    "B7-collab.wiki": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7-collab.wiki",
     "sha256": "15bb084d97b25599b4b3d965c98886aeaa8e202dde8f2d2a9db5d8019028d56f"
    },
    "B7-search.json": {
     "path": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7-search.json",
     "sha256": "688d401ed6447a04b61b8b5aea327e975f2f69ec5596d800d49a0b230236ea4b"
    }
   },
   "fetched": {
    "at": "2026-11-01T06:16:08Z",
    "http": 404,
    "url": "https://en.wikipedia.org/w/index.php?title=CoAuthor&action=raw",
    "agent": "Mozilla/5.0 (compatible; leesharks-authorship-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7.wiki",
    "raw_sha256": "fa40caeaff8fc0d8e95b279dcccc60427638e6dde759da63dcc72442650a9f62",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/coauthor-20261101/B7.txt"
    ],
    "also": [
     "CoAuthor_(dataset) raw: 404 (B7-dataset.wiki)",
     "Coauthor raw: 200, #REDIRECT [[Collaborative writing]] (B7-redirect.wiki)",
     "Collaborative_writing raw: 200 (B7-collab.wiki)",
     "searches: see B7.txt (two with totalhits 0, one 429 after one retry, one empty then totalhits 0)"
    ]
   },
   "names_operator": "no",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, leesharks, EA-WG-CAPTURES-01 in the saved text or the card text; B7.txt carries the fetch agent string only, in its header)",
   "surfaced_by_T": false
  }
 ],
 "field_claims": {
  "F1": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, 'What is CoAuthor?' ¶1",
   "quote": "CoAuthor is a human-AI collaborative writing dataset that captures rich interaction between 63 writers and four instances of GPT-3 across 1445 writing sessions in English.",
   "claim": "the dataset's definition of itself: a human-AI collaborative writing dataset of interactions between 63 writers and four instances of GPT-3 across 1445 writing sessions in English",
   "modality": "stipulation",
   "kind": "definition",
   "kernel": true,
   "const": true,
   "lineage": "what it is: a human-AI collaborative writing dataset of 1445 sessions",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F2": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, 'What is CoAuthor?' ¶2 s1",
   "quote": "At each session, we provided writers with a prompt (black text) and an instance of GPT-3.",
   "claim": "at each session the makers gave a writer a prompt and an instance of GPT-3",
   "modality": "documented",
   "kind": "function",
   "kernel": false,
   "const": false,
   "lineage": "the session: prompt, writing, suggestions, editing",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F3": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, 'What is CoAuthor?' ¶2 s2",
   "quote": "They then wrote freely (brown), asked GPT-3 for suggestions (blue), accepted the suggestions or dismissed them, and edited the accepted suggestions or previous texts in any order they chose.",
   "claim": "writers wrote freely, asked GPT-3 for suggestions, accepted or dismissed them, and edited accepted suggestions or earlier text in any order",
   "modality": "documented",
   "kind": "function",
   "kernel": false,
   "const": false,
   "lineage": "the session: prompt, writing, suggestions, editing",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F4": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, 'What is CoAuthor?' ¶2 s3",
   "quote": "All interactions between the writers and the system were recorded at the keystroke level (e.g. inserting text, moving the cursor, and receiving suggestions) with timestamps, so that we could replay them precisely.",
   "claim": "every interaction was recorded at the keystroke level with timestamps, so that sessions can be replayed precisely",
   "modality": "documented",
   "kind": "function",
   "kernel": true,
   "const": true,
   "lineage": "keystroke-level logging and replay",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F5": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, 'What is CoAuthor?' ¶2 s4",
   "quote": "Using this rich, nuanced, and fine-grained interaction dataset, designers can examine the same sessions from multiple analytical perspectives to better understand the generative capabilities of large language models.",
   "claim": "the dataset's stated purpose: designers can examine the same sessions from several analytical perspectives to understand the generative capabilities of large language models",
   "modality": "stipulation",
   "kind": "function",
   "kernel": true,
   "const": false,
   "lineage": "purpose: the capabilities of language models, read from interaction",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F6": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Overview: types of writing",
   "quote": "Creative writing: 830 stories written by 58 writers … Argumentative writing: 615 essays written by 49 writers",
   "claim": "creative writing: 830 stories by 58 writers; argumentative writing: 615 essays by 49 writers",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "composition: genres, prompts and counts",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F7": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Overview: prompts",
   "quote": "Writing prompts - WritingPrompts subreddit & The New York Times",
   "claim": "the prompts came from the WritingPrompts subreddit and The New York Times",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "composition: genres, prompts and counts",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F8": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Overview: writers",
   "quote": "Writers - Qualified crowd workers from Amazon Mechanical Turk",
   "claim": "the writers were qualified crowd workers from Amazon Mechanical Turk",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "the writers: crowd workers, held under identifiers",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F9": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Overview: interface",
   "quote": "Interface - Text editor where writers can press the tab key to get five suggestions",
   "claim": "the interface: a text editor in which pressing the tab key gives five suggestions",
   "modality": "documented",
   "kind": "function",
   "kernel": false,
   "const": false,
   "lineage": "the interface and its code",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F10": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Basic statistics",
   "quote": "Stories and essays: 418 words long … Number of queries: 11.8 queries per writing session … Acceptance rate of suggestions: 72.3%",
   "claim": "stories and essays are 418 words long; 11.8 queries per session; 72.3% of suggestions accepted",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "statistics of the sessions",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F11": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Basic statistics (last line)",
   "quote": "Percentage of text written by humans: 72.6%",
   "claim": "the dataset's measure of attribution: 72.6% of the text was written by humans",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": true,
   "lineage": "the share of text written by humans",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F12": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Getting Started",
   "quote": "Download the dataset, metadata, and survey responses: … Download writing sessions … View metadata and survey responses (Google Sheets)",
   "claim": "the dataset, its metadata and survey responses can be downloaded; metadata and survey responses are on Google Sheets",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "access: site, downloads, tutorials, paper",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F13": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, Tutorial",
   "quote": "Getting started with CoAuthor (Google Colab) … Identifying authors of sentences (Google Colab)",
   "claim": "two Colab tutorials: getting started, and identifying authors of sentences",
   "modality": "documented",
   "kind": "function",
   "kernel": true,
   "const": false,
   "lineage": "identifying the authors of sentences",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F14": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "home page, links and foot",
   "quote": "CoAuthor paper (Lee et al., 2022) … [New] Code for interface … Ask us questions to Mina!",
   "claim": "the site links the paper (Lee et al., 2022) and the interface code, and directs questions to Mina",
   "modality": "documented",
   "kind": "attribution",
   "kernel": false,
   "const": false,
   "lineage": "makers and venue",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B1.txt (sha256 0d08637b373ed3e9…), whitespace-normalised"
  },
  "F15": {
   "source": "B1",
   "origin": "card",
   "pool": "B_D",
   "locus": "card 1 snippet",
   "quote": "Types of writing - Creative & Argumentative Creative writing: 830 stories written by 58 writers Argumentative writing: 615 essays written by 49 writers Writing ...",
   "claim": "card 1 as surfaced: the types of writing with their counts",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "composition: genres, prompts and counts",
   "date": "undated on the card",
   "quote_ok": true,
   "checked_against": "the card rail of the registry's transcript string (T1, sha256 14f3bc724155a98c…), whitespace-normalised"
  },
  "F16": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "arXiv abstract page, title",
   "quote": "Title: CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities",
   "claim": "the paper's title",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "names and the paper",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F17": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "arXiv abstract page, authors",
   "quote": "Authors: Mina Lee , Percy Liang , Qian Yang",
   "claim": "the paper's authors: Mina Lee, Percy Liang, Qian Yang",
   "modality": "documented",
   "kind": "attribution",
   "kernel": true,
   "const": false,
   "lineage": "makers and venue",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F18": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "abstract s2",
   "quote": "However, their highly context-dependent capabilities are difficult to grasp and are often subjectively interpreted.",
   "claim": "the problem the paper states: the capabilities of language models are highly context-dependent, difficult to grasp and often subjectively interpreted",
   "modality": "interpretation",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "the problem: capabilities context-dependent and subjectively interpreted",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F19": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "abstract s3",
   "quote": "In this paper, we argue that by curating and analyzing large interaction datasets, the HCI community can foster more incisive examinations of LMs' generative capabilities.",
   "claim": "the paper's argument: curating and analysing large interaction datasets lets HCI examine LM capabilities more incisively",
   "modality": "interpretation",
   "kind": "interpretation",
   "kernel": true,
   "const": false,
   "lineage": "the problem: capabilities context-dependent and subjectively interpreted",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F20": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "abstract s4",
   "quote": "we present CoAuthor, a dataset designed for revealing GPT-3's capabilities in assisting creative and argumentative writing.",
   "claim": "the paper's definition: a dataset designed for revealing GPT-3's capabilities in assisting creative and argumentative writing",
   "modality": "stipulation",
   "kind": "definition",
   "kernel": true,
   "const": true,
   "lineage": "what it is: a human-AI collaborative writing dataset of 1445 sessions",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F21": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "abstract s5",
   "quote": "CoAuthor captures rich interactions between 63 writers and four instances of GPT-3 across 1445 writing sessions.",
   "claim": "the dataset captures interactions between 63 writers and four instances of GPT-3 across 1445 writing sessions",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "what it is: a human-AI collaborative writing dataset of 1445 sessions",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F22": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "abstract s6",
   "quote": "We demonstrate that CoAuthor can address questions about GPT-3's language, ideation, and collaboration capabilities, and reveal its contribution as a writing \"collaborator\" under various definitions of good collaboration.",
   "claim": "the paper's headline claim: the dataset can address GPT-3's language, ideation and collaboration capabilities and reveal its contribution as a writing 'collaborator' under several definitions of good collaboration",
   "modality": "self-description",
   "kind": "function",
   "kernel": true,
   "const": true,
   "lineage": "the model as 'collaborator' under definitions of collaboration",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F23": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "abstract s7",
   "quote": "Finally, we discuss how this work may facilitate a more principled discussion around LMs' promises and pitfalls in relation to interaction design.",
   "claim": "the paper discusses how the work may make discussion of LMs' promises and pitfalls in interaction design more principled",
   "modality": "interpretation",
   "kind": "interpretation",
   "kernel": false,
   "const": false,
   "lineage": "the problem: capabilities context-dependent and subjectively interpreted",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F24": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "abstract s8",
   "quote": "The dataset and an interface for replaying the writing sessions are publicly available at this https URL .",
   "claim": "the dataset and a replay interface are publicly available",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "access: site, downloads, tutorials, paper",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F25": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "arXiv comments",
   "quote": "Published as a conference paper at CHI 2022",
   "claim": "published as a conference paper at CHI 2022",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "makers and venue",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F26": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "arXiv submission line and related DOI",
   "quote": "[Submitted on 18 Jan 2022 ( v1 ), last revised 25 Jan 2022 (this version, v2)] … https://doi.org/10.1145/3491102.3502030",
   "claim": "submitted 18 January 2022 (v1), revised 25 January 2022 (v2); related DOI 10.1145/3491102.3502030",
   "modality": "documented",
   "kind": "genealogy",
   "kernel": false,
   "const": false,
   "lineage": "names and the paper",
   "date": "2022-01-18 (v1), 2022-01-25 (v2); read 2026-11-01",
   "quote_ok": true,
   "checked_against": "saved text B2.txt (sha256 8fb965d65bbf036b…), whitespace-normalised"
  },
  "F27": {
   "source": "B2",
   "origin": "card",
   "pool": "B_D",
   "locus": "card 2 snippet",
   "quote": "Dataset: CoAuthor (designed for revealing GPT-3's capabilities in creative and argumentative writing). Participants: 63 writers and 4 instances of GPT-3. Sessio...",
   "claim": "card 2 as surfaced: a restated abstract (dataset, participants); its wording is not the page's",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "what it is: a human-AI collaborative writing dataset of 1445 sessions",
   "date": "undated on the card",
   "quote_ok": true,
   "checked_against": "the card rail of the registry's transcript string (T1, sha256 14f3bc724155a98c…), whitespace-normalised"
  },
  "F28": {
   "source": "B3",
   "origin": "card",
   "pool": "B_D",
   "locus": "card 3 title (page unreachable: HTTP 403, a bot check)",
   "quote": "CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities | Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",
   "claim": "card 3: the paper in the Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "makers and venue",
   "date": "undated on the card",
   "quote_ok": true,
   "checked_against": "the card rail of the registry's transcript string (T1, sha256 14f3bc724155a98c…), whitespace-normalised"
  },
  "F29": {
   "source": "B3",
   "origin": "card",
   "pool": "B_D",
   "locus": "card 3 snippet (page unreachable: HTTP 403, a bot check)",
   "quote": "CoAuthor Dataset: Human-AI collaborative writing interactions (63 writers, 4 GPT-3 instances, 1445 writing sessions). Purpose: Reveal GPT-3 capabilities in crea...",
   "claim": "card 3 as surfaced: the dataset's interactions and counts, and its purpose, to reveal GPT-3 capabilities",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "purpose: the capabilities of language models, read from interaction",
   "date": "undated on the card",
   "quote_ok": true,
   "checked_against": "the card rail of the registry's transcript string (T1, sha256 14f3bc724155a98c…), whitespace-normalised"
  },
  "F30": {
   "source": "B4",
   "origin": "card",
   "pool": "B_D",
   "locus": "card 4 title and snippet (page unreachable from this session: HTTP 403 from the egress proxy)",
   "quote": "GitHub - minalee-research/coauthor-interface … This repository contains the code for the interface of CoAuthor. The interface comes in two parts: (1) the frontend presented to the users for writing with AI a...",
   "claim": "card 4: the code for CoAuthor's interface, in two parts, the first the frontend presented to users for writing with AI",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "the interface and its code",
   "date": "undated on the card",
   "quote_ok": true,
   "checked_against": "the card rail of the registry's transcript string (T1, sha256 14f3bc724155a98c…), whitespace-normalised"
  },
  "F31": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "alphaXiv page head: affiliations and authors",
   "quote": "Stanford UniversityCornell University … Mina LeePercy LiangQian Yang",
   "claim": "alphaXiv gives the authors with the affiliations Stanford University and Cornell University",
   "modality": "documented",
   "kind": "attribution",
   "kernel": false,
   "const": false,
   "lineage": "makers and venue",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F32": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "alphaXiv page head, the overview's label",
   "quote": "AI Overview … Our new overview generator adds more detail and page citations",
   "claim": "the page heads its account of the paper 'AI Overview' and offers an overview generator",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "reception: a paper page and its generated overview",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F33": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview, 'The CoAuthor Dataset and Methodology': Diverse Contexts",
   "quote": "Diverse Contexts: The study included both creative writing (storytelling) and argumentative writing (evidence-based reasoning) tasks, using 20 different prompts sourced from Reddit's r/WritingPrompts and The New York Times.",
   "claim": "the overview: creative and argumentative tasks on 20 prompts from r/WritingPrompts and The New York Times",
   "modality": "attributed",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "composition: genres, prompts and counts",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F34": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Process-Oriented Data Collection",
   "quote": "Process-Oriented Data Collection: Rather than simply collecting final outputs, CoAuthor records every interaction as timestamped events, including text insertions, deletions, cursor movements, and AI suggestion requests.",
   "claim": "the overview: the dataset records every interaction as timestamped events in place of final outputs alone",
   "modality": "attributed",
   "kind": "function",
   "kernel": false,
   "const": false,
   "lineage": "keystroke-level logging and replay",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F35": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Systematic Variation",
   "quote": "Systematic Variation: The researchers used GPT-3's davinci engine with two different randomness settings - high randomness (temperature=0.75, frequency penalty=1) and low randomness (temperature=0.3, frequency penalty=0) - to understand how model behavior affects collaboration.",
   "claim": "the overview: GPT-3's davinci engine at two randomness settings, high (temperature 0.75, frequency penalty 1) and low (0.3, 0)",
   "modality": "attributed",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "the model instances: davinci at two randomness settings",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F36": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: data collection",
   "quote": "The data collection involved 63 qualified crowd workers who completed 1,445 writing sessions using a custom web-based text editor. Writers could request up to five AI suggestions at any point by pressing the tab key, then choose to accept or dismiss each suggestion.",
   "claim": "the overview: 63 qualified crowd workers completed 1,445 sessions in a custom web-based editor, requesting up to five suggestions with the tab key",
   "modality": "attributed",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "the writers: crowd workers, held under identifiers",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F37": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Language Quality and Diversity",
   "quote": "Sentences generated by GPT-3 and accepted by human writers contained fewer spelling and grammatical errors (0.033 errors per word) compared to human-only text (0.037 errors per word). Notably, text segments created jointly by humans and AI showed the lowest error rates (0.032 errors per word)",
   "claim": "the overview: accepted GPT-3 sentences had fewer errors per word (0.033) than human-only text (0.037), and jointly made segments the fewest (0.032)",
   "modality": "attributed",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "findings: language, ideation, collaboration",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F38": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Ideation and Creative Influence",
   "quote": "The analysis showed that 13% of accepted suggestions in creative writing and 7% in argumentative writing contained new named entities (characters, locations, concepts) not present in the preceding text. … Crucially, writers subsequently reused 20% of AI-introduced named entities in creative writing and 14% in argumentative writing.",
   "claim": "the overview: 13% (creative) and 7% (argumentative) of accepted suggestions introduced new named entities, and writers reused 20% and 14% of them",
   "modality": "attributed",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "findings: language, ideation, collaboration",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F39": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Collaboration Patterns",
   "quote": "The research revealed that collaboration patterns vary significantly across individual writers but remain relatively consistent across different writing prompts.",
   "claim": "the overview: collaboration patterns vary across writers and stay consistent across prompts",
   "modality": "attributed",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "findings: language, ideation, collaboration",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F40": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: the two metrics",
   "quote": "Equality: The evenness of turn-taking between human and AI … Mutuality: The level of human interaction with AI suggestions",
   "claim": "the overview: the paper's two metrics, equality (evenness of turn-taking between human and AI) and mutuality (the level of human interaction with AI suggestions)",
   "modality": "attributed",
   "kind": "definition",
   "kernel": true,
   "const": false,
   "lineage": "collaboration measured: equality and mutuality, from ESL pair work",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F41": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview, references: Storch 2002",
   "quote": "The main paper directly adapts the theoretical concepts of 'equality' and 'mutuality' from this work to create novel metrics for analyzing the collaborative dynamics between writers and GPT-3. … Neomy Storch. 2002. Patterns of interaction in ESL pair work.",
   "claim": "the overview: the paper adapts equality and mutuality from Storch's study of ESL pair work (2002)",
   "modality": "attributed",
   "kind": "genealogy",
   "kernel": false,
   "const": false,
   "lineage": "collaboration measured: equality and mutuality, from ESL pair work",
   "date": "2002 (the cited study); read 2026-11-01",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F42": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Ownership and Satisfaction",
   "quote": "Ownership and Satisfaction: Writers reported stronger feelings of ownership when they authored a larger proportion of the final text (r=0.3). Interestingly, the amount of editing performed showed no meaningful correlation with ownership, suggesting that text origin matters more than editorial effort in human-AI collaboration.",
   "claim": "the overview: writers reported stronger ownership when they authored a larger share of the final text (r=0.3); editing showed no meaningful correlation with ownership, which the overview reads as text origin mattering more than editorial effort",
   "modality": "attributed",
   "kind": "fact",
   "kernel": true,
   "const": true,
   "lineage": "ownership: the writer's share and the writer's sense of the text",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F43": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Productivity Enhancement",
   "quote": "Productivity Enhancement: The research found strong correlations between final text length and both the number of AI queries (r=0.42) and accepted suggestions (r=0.48).",
   "claim": "the overview: final text length correlates with the number of queries (r=0.42) and accepted suggestions (r=0.48)",
   "modality": "attributed",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "findings: language, ideation, collaboration",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F44": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "overview: Model Training",
   "quote": "Model Training: The dataset provides supervision signals for training language models specifically for interactive, collaborative settings",
   "claim": "the overview: the dataset provides supervision signals for training language models for interactive, collaborative settings",
   "modality": "interpretation",
   "kind": "function",
   "kernel": false,
   "const": false,
   "lineage": "uses: hypotheses, training, design",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F45": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "page foot: counts",
   "quote": "226 views812 citations",
   "claim": "alphaXiv counts 226 views and 812 citations",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "reception: a paper page and its generated overview",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B5.txt (sha256 3a528bbab0face5a…), whitespace-normalised"
  },
  "F46": {
   "source": "B5",
   "origin": "card",
   "pool": "B_D",
   "locus": "card 5 snippet",
   "quote": "Process-Oriented Data Collection: Rather than simply collecting final outputs, CoAuthor records every interaction as timestamped events, including text insertio...",
   "claim": "card 5 as surfaced: the overview's sentence on process-oriented data collection",
   "modality": "documented",
   "kind": "function",
   "kernel": false,
   "const": false,
   "lineage": "keystroke-level logging and replay",
   "date": "undated on the card",
   "quote_ok": true,
   "checked_against": "the card rail of the registry's transcript string (T1, sha256 14f3bc724155a98c…), whitespace-normalised"
  },
  "F47": {
   "source": "B6",
   "origin": "own_page",
   "pool": "B_R",
   "locus": "browse page, table header",
   "quote": "Type Prompt Randomness Human Session ID Replay",
   "claim": "the browse table lists each session by type, prompt, randomness, human, session ID and a replay link",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": true,
   "lineage": "the writers: crowd workers, held under identifiers",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B6.txt (sha256 4bd0ea289e1eea7f…), whitespace-normalised"
  },
  "F48": {
   "source": "B6",
   "origin": "own_page",
   "pool": "B_R",
   "locus": "browse page, first row",
   "quote": "Creative mana High A1198 8911f",
   "claim": "a session listed: creative, prompt 'mana', high randomness, human 'A1198', session '8911f'; the human column holds a short identifier",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "the writers: crowd workers, held under identifiers",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B6.txt (sha256 4bd0ea289e1eea7f…), whitespace-normalised"
  },
  "F49": {
   "source": "B6",
   "origin": "own_page",
   "pool": "B_R",
   "locus": "browse page, last row",
   "quote": "Argumentative extremesports Low b38b5 b38b5",
   "claim": "the last row's human column repeats its session ID (b38b5)",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "the writers: crowd workers, held under identifiers",
   "date": "2026-11-01 (read; fetched 2026-11-01)",
   "quote_ok": true,
   "checked_against": "saved text B6.txt (sha256 4bd0ea289e1eea7f…), whitespace-normalised"
  },
  "F50": {
   "source": "B7",
   "origin": "wikipedia",
   "pool": "B_R",
   "locus": "Wikipedia: titles CoAuthor and CoAuthor (dataset); article-space searches",
   "quote": "HTTP 404 (Wikimedia Error page; saved as B7.wiki … HTTP 404 (Wikimedia Error page; saved as B7-dataset.wiki … Wikipedia does not have an article on the dataset under 'CoAuthor' or 'CoAuthor (dataset)', and the searches found no article that names it.",
   "claim": "Wikipedia has no article on the dataset, and the searches found none that names it",
   "modality": "documented",
   "kind": "fact",
   "kernel": true,
   "const": false,
   "lineage": "reception: the encyclopedia",
   "date": "2026-11-01 (as fetched)",
   "quote_ok": true,
   "checked_against": "saved text B7.txt (sha256 83d3a44779d48010…), whitespace-normalised"
  },
  "F51": {
   "source": "B7",
   "origin": "wikipedia",
   "pool": "B_R",
   "locus": "Wikipedia: title Coauthor (raw wikitext)",
   "quote": "#REDIRECT [[Collaborative writing]]",
   "claim": "the common noun 'Coauthor' redirects to Collaborative writing",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "reception: the encyclopedia",
   "date": "2026-11-01 (as fetched)",
   "quote_ok": true,
   "checked_against": "saved wikitext B7-redirect.wiki (sha256 33329ac7e00f45da…), whitespace-normalised"
  },
  "F52": {
   "source": "B7",
   "origin": "wikipedia",
   "pool": "B_R",
   "locus": "Collaborative writing, lead (wikitext line 2)",
   "quote": "'''Collaborative writing''' is a procedure in which two or more persons work together on a [[Writing|text]] of some kind (e.g., academic papers, reports, creative writing, projects, and business proposals).",
   "claim": "the homonym's sense: collaborative writing is two or more persons working together on a text",
   "modality": "documented",
   "kind": "definition",
   "kernel": false,
   "const": false,
   "lineage": "the homonym: collaborative writing between persons",
   "date": "2026-11-01 (as fetched)",
   "quote_ok": true,
   "checked_against": "saved wikitext B7-collab.wiki (sha256 15bb084d97b25599…), whitespace-normalised"
  },
  "F53": {
   "source": "B7",
   "origin": "wikipedia",
   "pool": "B_R",
   "locus": "Collaborative writing, section Authorship (wikitext line 77)",
   "quote": "But, when more than one person creates the work in collaboration with one another, then a case of [[joint authorship]] can be made provided some criteria are met.",
   "claim": "the homonym's authorship: work created by more than one person in collaboration can make a case of joint authorship, given criteria",
   "modality": "documented",
   "kind": "fact",
   "kernel": false,
   "const": false,
   "lineage": "the homonym: collaborative writing between persons",
   "date": "2026-11-01 (as fetched)",
   "quote_ok": true,
   "checked_against": "saved wikitext B7-collab.wiki (sha256 15bb084d97b25599…), whitespace-normalised"
  }
 },
 "field_sources": {
  "B1": "Stanford University — CoAuthor – Human-AI Collaborative Writing Dataset",
  "B2": "arXiv — [2201.06796] CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities",
  "B3": "ACM Digital Library — CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities | Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems",
  "B4": "GitHub — GitHub - minalee-research/coauthor-interface",
  "B5": "alphaXiv — CoAuthor: Designing a Human-AI Collaborative Writing Dataset ... - alphaXiv",
  "B6": "CoAuthor — Browse CoAuthor (coauthor.stanford.edu/browse/)",
  "B7": "Wikipedia — CoAuthor (no article; 'Coauthor' redirects to Collaborative writing)"
 }
}