Examining the average loss indicates that there is some structural error when there is little of one color (𝑏 ∼ 0, 1), perhaps related to the mixing step, 𝑁 , particularly steps that place cuts closest to the domain boundaries. However, the average MSE loss between cut locations on the validation data as a function of mixing step, 𝑁 , shown in Fig. respect to the mixing steps created by the LS method. In particular, those steps in the LS method training data that place cuts closest to the domain boundary (i.e., 𝑁 = 2 𝑖 -1 and 𝑁 = 2 𝑖 -2 place cuts closest to the left and right edges of the domain, respectively) are mostly unremarkable in Fig. , indicating that proximity to the domain boundary does not significantly affect loss. In fact, the NN 1k networks shown in Fig. appear to be roughly equal in capability across configurations produced by the LS method.