for HCI is roughly double that of RLCI. In the more strongly correlated regime (> 2.0 Å), the agreement in accuracy between HCI and RLCI diverges, despite HCI utilizing a greater number of parameters. In fairness, for the current implementation HCI is a significantly faster method, but the savings in terms of wave function compression for RLCI suggest that pursuing further improvements to the method may be warranted. Next, we explore the dissociation of the CO molecule in Fig. . Though HCI maintains a roughly constant accuracy throughout the dissociation, it requires roughly 2-3× the number of determinants as RLCI. In contrast, RLCI can maintain kcal/mol accuracy or better while utilizing 4.0% of the determinant space. That said, the errors for RLCI increase during dissociation up until around 1.7 Å, at which point they begin to decrease again, whereas HCI is relatively constant accuracy. This suggests that investigating ways to dynamically set the RLCI parameter k may be beneficial. For HCI, the free parameters govern the cutoffs used to determine the importance of a determinant, which in this particular case seems to yield more constant energy errors, though this requires the use of an increasing determinant space.