Before revision:   We show that training using a randomized generation order is necessary for good performance when extending scaffolds, and that the results are further improved by increasing  fragment vocabulary size.
After revision:  At the same time, our generation procedure can flexibly choose between adding individual atoms and entire fragments. We show that training using a randomized generation order is necessary for good performance when extending scaffolds, and that the results are further improved by increasing fragment vocabulary size.