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  1. arXiv

    Evaluation runs already leave per-question records: an audit layer reuses them and finds MMStar image zero-gain above a permutation null

    An audit layer added to VLMEvalKit reuses saved per-question outputs from completed evaluations plus one text-only rerun, and on MMStar measures a 20.2% zero-gain share that still exceeds an item-matched permutation null.

  2. arXiv

    CADFather coordinates learned, geometric, and optimization tools through a vision-language assistant, reaching zero invalid outputs across six CAD reconstruction benchmarks

    CADFather is an autonomous, training-free agent in which a vision-language assistant decides which candidate CAD program to extend, which tool to invoke, and how many proposals to sample, unifying learned proposal generation, geometry-based algorithmic proposals, and parameter optimization in one CadQuery representation, and achieving zero invalidity with higher mean IoU and GMS and lower median Chamfer distance on the full DeepCAD, Fusion360, and MCB test sets.

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