A paper-writing loop that keeps the literature library in the draft
A public Xiaohongshu note describing a writing loop in which matched passages from a local PDF library are surfaced while drafting, then used to check whether paragraph claims agree with or contradict those sources. The note names that loop Flowing and links to flowing.works. This is first-party public copy, not an independent third-party review.
- Author
- 馬田史高西斯
- Use case
- Paper writing: resurfacing library passages at the cursor, then checking the current paragraph against those sources
- What the note describes
- The note’s stated difficulty is finding a remembered passage among many PDFs, especially at the sentence being written, when a search query is not yet obvious. It describes detecting keywords and domain terms during drafting, showing matching passages as cards, using those cards both as memory cues and as evidence for checking whether the paragraph agrees with or contradicts the sources.
- Limits and caveats
- The note does not report an independent evaluation, and it does not claim to replace researcher judgment. Xiaohongshu pages are often login-gated or dynamically loaded, so this structured transcript is the crawlable record; the original post is for verification.
- Disclosure
- Official / founder post (first-party content, not a third-party review)
- Published
- 2026-08-26
- Original post
- View original Xiaohongshu note
Original note text
在论文库茫茫PDF中找到曾经记忆中的一个知识片段是困难的，在我们落笔写文章的时候更甚之：写到某一句的时候，我们很难时刻去搜索关联的参考文献，有时甚至不知道要以什么形式去进行检索。
为此，我在尝试构建一种更合理的写作流：在写作过程中，实时识别文中的关键词与领域术语，从论文库拉出匹配段落，以卡片形式展示。一方面唤起我们的知识回忆，另一方面，这些卡片会作为佐证证据，自动对文章段落进行校验，因而可以发现我们所写内容观点，是否和参考文献吻合或者相违背。如是，才真正地把文献库应用到在我们的写作场景，而不仅仅只是一个越来越庞大的摆设。
当 AI 已经足够会“写”，如何让我们自己的论文库真正参与进来，帮助找回证据、校验判断、补充思路，或许才是下一代论文写作工具更值得探索的方向。
写作流叫做 Flowing，目前发布在：https://flowing.works
欢迎免费体验以及共同讨论。