For greatest accuracy, we only performed the regression for the three largest systems. The observed b is around 1.69 for the alkanes (R 2 = 99.99%), and 1.04 for the water clusters (R 2 = 99.93%). The observed scaling is lower for the water clusters since they have more sparsity than the linear alkanes in the range of system sizes studied. This is evidence for the the asymptotic linear scaling of DLPNO-(Q). It is also encouraging to note that the time spent in the iterative (Q) portion of the computation is never a significant portion of the total DLPNO-(Q) wall time for larger systems. All timings were performed using 48 CPU cores of an AMD EPYC 9274F (Genoa) with up to 2500 GB of RAM with a base clock of 4.05 GHz and a max clock of 4.3 GHz.