The reason for writing the VAMP2(k) score as the product of count matrices and eigenvectors/singular vector matrices is to facilitate data-splitting in cross-validation. While we used bootstrapping for this work and thus mitigated this, the effect of data splitting would be to worsen the discrepancy between the count and transition matrices. This is because the count matrices are now estimated on different data compared to the eigenvector matrices.