This document summarizes Andrew Myers' presentation on controlling numerical error in particle-in-cell simulations of collisionless dark matter. Standard PIC methods do not converge for cosmology applications. Two modifications are discussed: regularization, which involves replacing cloud-in-cell interpolation with higher-order kernels; and adaptive remapping to reduce noise from particle discreteness. While these techniques improve arithmetic intensity and convergence for plasma simulations, evidence suggests they may not significantly reduce errors for cosmology simulations of dark matter.