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Results, robustness, tangling and the neuro-interface framing are kept as the authors' reports and proposals, not presented as established fact.","excerpt":"Authors:Maryna Kapitonova, Tonio Ball"},{"dimension":"summary","status":"pass","explanation":"The reading explains the method in plain terms (training controllers to match monkey motor-cortex activity patterns), the test setting and the main results. It keeps the authors' framing of Neuro-Dist as a complement to behavioral distillation. The summary compresses the statistical result to 'over controls'; the claims list correctly preserves 'all six' versus 'five'. Terms such as GRU, tangling and student-held-out are kept exactly and suit term-library tooltips. They do not block a non-specialist from following the core development.","excerpt":"We introduce neuro-distillation (Neuro-Dist), a technique designed to directly transfer computationally useful neural population structure from biological brains into artificial controllers."},{"dimension":"date","status":"pass","explanation":"originalPublished 2026-09-26 matches the arXiv v1 submission date. The later feed date of November 2026 is correctly not used.","excerpt":"[Submitted on 26 Sep 2026]"},{"dimension":"support","status":"pass","explanation":"Each claim is backed by a verbatim abstract excerpt. The robotics relevance is framed conditionally and limited to simulated-arm results. The 'beyond movement behavior alone' framing is a reasonable reading of the comparison against kinematics distillation and the complement claim. The question about physical robots follows directly from the evidence gap and is not a leading claim. 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