I believe it helps but not the sole reason. Because there are also autoregressive models that perform slightly worse. Unsupervised learning + Diffusion + Neural Search is the way to go in my opinion. However, currently, the literature lacks efficient Neural search space exploration. The diffusion process is a good starting point for neural search space exploration, especially when it is used not just to create a solution from scratch but also as a local search method. Still, there is no clear exploration and exploration control in current papers. We need to incorporate more ideas from heuristic search paradigms to neural network CO pipelines to take it to the next step.