Research questionUnder what genericity, overlap, and connectivity conditions can sparse cutoff-based multi-layer message passing universally approximate interatomic potential energy surfaces?Practical graph neural network potentials often use per-layer cutoffs smaller than the physical interaction range, relying on multiple message-passing layers to propagate information. The key difficulty is determining when these sparse local interactions capture the full neighborhood information needed for universal approximation.