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This paper investigates whether LLMs can recover latent sequential structure beyond surface action frequencies, using controlled Rock-Paper-Scissors interactions and stochastic n-gram continuation tasks. Findings show that longer context doesn't improve strategy identification, recognition doesn't guarantee faithful simulation, and higher-order dependencies degrade rule recovery — suggesting apparent behavioral fidelity can mask incorrect generative mechanisms.