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Smallest repair: add one plain-language definition of the agent and certifying model, and restore the state-contents finding.","excerpt":"Their states hold the revealed member in 75-98% of cases and almost never the class name, and when practice exposes a member the list misses, they add that member to the list."},{"dimension":"date","status":"pass","explanation":"The originalPublished date of 2026-10-29 matches the v1 arXiv submission date. The 2026-11-02 date is only when the feed entry appeared.","excerpt":"[Submitted on 29 Oct 2026]"},{"dimension":"support","status":"pass","explanation":"Each numeric claim matches the abstract: at most 5 points, 6–12% vs 20%, 14.5–16.5 points, and 78%/59–60% vs 53%/8%. The interpretive line that a longer list is not necessarily evidence of learning follows the source's own framing, though it is stated without an EM label. The question is genuinely open, since the abstract gives no explanation for the gap between models. 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