{
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 "extracted": "2026-10-29",
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     {
      "at": "2026-10-29T17:06:48Z",
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      "at": "2026-10-29T17:06:55Z",
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   "note": "URL from the card's title (OSU-NLP-Group/AttributionBench). The rendered repository page could not be fetched: the session's proxy answers 403 for github.com. The repository's README (the text the repository page renders) was read through the GitHub contents API and saved as B2-README.md; B2.txt is that copy. B2.html is the 403 response, kept as the fetch record."
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   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, provenanceerasure, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)",
   "note": "URL is the census record's own page; the card's snippet ('Overview: AttributionBench is a comprehensive benchmark compiled from existing attribution datasets (ExpertQA, Stanford-GenSearch, AttributedQA, LFQA, BEGIN, HA...') matches no sentence of the page verbatim (it paraphrases the abstract and Table 1). Fetched fresh; the served HTML is byte-identical to the census's saved copy (same sha256), so the own page and the card are one source, carried once, as a card."
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   "role": "the census record's own page (attributionbench--dataset-card), not surfaced by T",
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  "B1": "arXiv — [2402.15089] AttributionBench: How Hard is Automatic Attribution Evaluation?",
  "B2": "GitHub — GitHub - OSU-NLP-Group/AttributionBench: [ACL'24 Findings] AttributionBench: How Hard is Automatic Attribution Evaluation? · GitHub",
  "B3": "GitHub Pages documentation — AttributionBench: How Hard is Automatic Attribution Evaluation?",
  "B4": "Hugging Face — osunlp/AttributionBench · Datasets at Hugging Face",
  "B5": "ACL Anthology — AttributionBench: How Hard is Automatic Attribution Evaluation?",
  "B6": "Hugging Face — osunlp/AttributionBench, dataset card (raw README.md)",
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}