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Prompting LLMs with historical period tags steers grammar toward century-scale approximations in GPT and Qwen while failing entirely in Llama, revealing that models internalize historical style as coarse temporal heuristics rather than distinct period representations.
AI-generated novels show a striking lack of formal diversity, with repeated generations compressing sentence structure far more than human authors do.