Before revision:  The estimator achieves the optimal convergence rate after explicit bias correction.
After revision:  Pre-averaging and truncation enable simultaneous handling of noise and jumps. Second-order expansion reveals explicit biases and a pathway to bias correction. Estimators based on this framework achieve the optimal convergence rate after explicit bias correction.