However, the single best indicator of model performance comes from the use of the directional graphs (Layers 2 -4). Each spot in the directional graphs represents the relative difference between two atoms in all three dimensions. Therefore, with the knowledge of one atom and its relationship to another atom with the direction graph, the second atom's location can be deduced. Therefore, if we have 10 atoms predicted in a CrysTens representation, each with their respective fractional coordinates and a directional graph relating each of them, we can have 10 "guesses" as to where a given atom is supposed to be in the crystal (one guess from its own x, y, z coordinates and nine guesses from the relative distances of other atoms). This process is highlighted in two dimensions in Fig. . If there is a high degree of consistency between all of the coordinate predictions, the crystal that is produced tends to be more symmetrical and realistic. The average of the coordinate predictions for each atom is ultimately chosen as the point where a given atom is placed during the CIF reconstruction. Furthermore, with these reconstructed coordinates, a pairwise distance matrix can be created and compared to the generated pairwise distance matrix in Layer 1 as an additional metric for model performance.