We thank the reviewers for their thoughtful feedback and for their appreciation of the novelty of 1 considering query-efficiency in finding homology of decision boundaries using active learning

This is an excellent point. We remark here that the same fix applied to the L ˇ C complex will help correct [3]. R3: Using topology to guide active sample acquisition. Our "model marketplace" application is different from Training classifiers with a coreset of 300 data points sampled by active learning/passive learning.