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Divergent ODE trajectories that typically cripple GPU vectorization in high-level frameworks run up to 700x faster when mapped directly to thread-level Rosenbrock-Wanner kernels with sparse matrix support.
CEFITO's innovative action-conditioned representation space allows for precise inference-time planning by eliminating irrelevant actions, setting a new standard in procedure planning accuracy.
