Efficient estimation for random dot product graphs via a one-step procedure

Xie and Xu's one-step procedure supplies the locally efficient per-vertex estimator we contrast with bare ASE in riva2026random, where matching the oracle MLE covariance up to orthogonal transformation sets the achievable precision against which our gauge analysis is calibrated.