Treating attention as a lookup operation is popular among computational complexity theorists (e.g. https://arxiv.org/abs/2310.03817 ) because it's easier to work with when you're explicitly constructing a transformer to perform a particular computation, just to demonstrate that tranformers can, in theory, perform it. That's also why there are no training details: the weights are computed directly and not trained.