cblconfederate happens to be right in this specific case (although wrong about using neural nets for predicting PRNGs in general): the author uses four consecutive non-truncated outputs of the xorshift128 generator as the network input, and learn to predict the next output. Since four consecutive outputs expose the entire internal state of the xorshift128 generator, this amounts to little more than approximating a (very simple) four-variable function.
