Here, 𝑒(𝑝, 𝑀, 𝑖) denotes the explanation for atom i in molecule M about property 𝑝 as defined in Eq. (1); 𝑒̅ is the mean of explanation values for all atoms in all molecules in the dataset. The second approach is the statistics of the absolute difference of explanation values between each pair of atoms (or bonds) in the same molecule. The results for both approaches are visualized in Figure . Only molecules with at least one topological distance of length six are included in the atomwise analysis to avoid bias from comparing small and large molecules. With this criterion, 503,508 molecules are included in this figure, with 3,887,724 atomwise explanation pairs and 996,081 bondwise explanation pairs. We observe the autocovariance decreases strongly after a distance of two bonds for atomwise explanation and a distance of one bond for bondwise explanation values, supporting the assumption of smoothness for neighboring attributions. Similarly, the absolute difference for bondwise attribution increases almost linearly with the distance up to a distance of four bonds, also confirming the abovementioned assumption.