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This paper argues that current world models lack a persistent state core, proposing a hybrid approach that adds temporal-causal structure via η-pseudo-unitary operator dynamics to convert pretrained GPT-2 into a time-reasoning model.
This paper investigates converting pretrained GPT-2 into a time-reasoning model using η-pseudo-unitary operator dynamics, providing mathematical foundations and key findings on PT-breaking transitions and reversible/irreversible sequences.