Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms
This paper introduces Nested-GPT, a hierarchical autoregressive Transformer that dynamically simulates variable-multiplicity parton showers and successfully resums non-global logarithms, offering a physically consistent alternative to flow-matching baselines that require fixed emission multiplicities.