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本文介绍了体验性互文性检测,使用包括零样本LLM评分在内的无标注方法,以识别来自不同路线的法语移民叙事中共享的体验回声。
This paper recasts fine-grained intertextuality extraction in Classical Chinese histories as an agentic LLM task, grounding reuse in exact character spans and a five-dimension typology, validated by expert-adjudicated benchmarks and scaled to the Twenty-Four Histories.