In detail, the blue points represent samples from the incremental dataset, which aggregates data from all previous and current iterations to form the global training set for the Autoencoder's reconstruction loss. In contrast, red points correspond to samples from the current iteration, constituting the local training dataset optimized for the skewness loss. Sampling at each iteration follows these criteria, progressively expanding the explored region and allowing the system to identify new minima on the free energy landscape.