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Switching from rigid graph representations to learned latent graph spectra can double F1 scores in code clone detection.
Despite advances in vision-language models, they still fail at rebus puzzles, highlighting a critical gap in cognitive visual reasoning that neither scaling nor in-context learning can fix.
