World models need not rerun per candidate: one extraction of local shape scores sixteen actions faster than the source generator
Extracting the local shape of the action-conditioned data manifold once lets any number of candidate actions be scored by matrix multiplication alone, making sixteen candidates over an order of magnitude faster than the source generator and more accurate at short horizons.