Model architecture alone is insufficient; sensor selection and training objectives jointly determine which physics becomes operationally usable.
World-model research identifies limits in learning hidden physical parameters
A controlled study found prediction objectives determine whether robot world models retain mass, stiffness, drag, and force information.
