In the realm of text manipulation and linguistic transformation, the question of authorship has always been a subject of fascination and philosophical inquiry. Much like the \textbf{Ship of Theseus paradox}, which ponders whether a ship remains the same when each of its original planks is replaced, our research delves into an intriguing question: \textit{Does a text retain its original authorship when it undergoes numerous paraphrasing iterations?} Specifically, since Large Language Models (LLMs) have demonstrated remarkable proficiency in the generation of both original content and the modification of human-authored texts, a pivotal question emerges concerning the determination of authorship in instances where LLMs or similar paraphrasing tools are employed to rephrase the text. This inquiry revolves around \textit{whether authorship should be attributed to the original human author or the AI-powered tool, given the tool's independent capacity to produce text that closely resembles human-generated content.} Therefore, we embark on a philosophical voyage through the seas of language and authorship to unravel this intricate puzzle.

当一个文本经历多次改写后，它是否保留了原始的作者身份是一个有趣的问题。我们的研究探讨了使用大型语言模型（LLMs）或类似的改写工具对文本进行改写时，关于作者身份的确定应该归属于原始人类作者还是AI动力工具的独立能力，讨论了作者的归属问题。

忒修斯之舟：LLM-生成文本中的复述案例研究