To evaluate the generalizability of MIST, we applied it to predict fingerprints and perform database annotation for a set of novel MS/MS spectra from the CASMI 2022 challenge. This dataset, released subsequent to the training of the published version of MIST, offers a stringent benchmark for evaluating MIST's performance on previously unseen and independent data.