ChemGuard exposes that chemistry-aware admission invalidates many molecular graph backdoors, but ChemBack achieves high attack success with fully admitted poisons via chemically feasible motif-anchor attachments.
GeoSym Engine automates symbolically-verifiable geometric reasoning data synthesis, and models trained on GeoSym127K achieve large gains on diagram-dependent geometry benchmarks.
Evo-Depth is a lightweight 0.9-billion-parameter vision-language-action model using implicit depth encoding from RGB to improve spatial manipulation without extra sensors. It achieves top benchmark performance with minimal GPU memory and highest inference speed among compared methods.