Direct searches for new particles at colliders have traditionally been factorized into model proposals by theorists and testing experimentalists. With the recent advent of machine learning methods that allow simultaneous unfolding all observables in a given phase space region, there is opportunity to blur these traditional boundaries performing on unfolded data. This could facilitate research p...