Monte Carlo criticality simulations are widely used in nuclear safety demonstrations, as they offer an arbitrarily precise estimation of global and local tallies while making very few assumptions. However, since the inception such numerical approaches, it is well known that bias might affect both errors on these themselves. In particular, stochastic modeling approaches developed past decade hav...