Before revision:  For a pair of models, we compute the similarity of the k-nearest neighbors of every embedded object , and visualize the results as Local Neighborhood Dominoes: small multiples that facilitate rapid comparisons.
After revision:  It systematically surfaces points of comparison by computing the similarity of the k-nearest neighbors of every embedded object , and visualize the results as Local Neighborhood Dominoes: small multiples that facilitate rapid comparisons.