Not an expert, but I think procedurally generated terrain is generally fractal in nature, and is reproducible in that sense from a seed that is used in the generation. It is therefore recursive, as fractals are recursive.

A traditional neural network is a universal function approximator, however it is not recursive in nature, unless it is some sort of RNN. The transformer architecture, which this seems fairly similar to this one, is also not recursive in nature; although I believe, limited recursion can come about through CoT.

Therefore, I don't believe this could match the reproducibility, in an infinite sense, of a traditional procedural generator.