). This aligns with the low improvement seen of the crossdock default2018 ensemble over the single models on crossdocking (Figure ) and the decrease in performance of the general default2018 ensemble over the highest performing single model for redocking (Figure ). We also note that the CNNscore learned through KD training is indicative of lower RMSD to ground truth poses (Figures S12, S13, S14, S16 and S17). Therefore, the KD process is teaching the students a useful pose predictor that generalizes well for molecular docking, rather than prompting the students to mimic the teachers.