{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "chenxiachan-textfold--read-a-paper-in-five-levels",
 "repo": "chenxiachan/textfold",
 "repo_url": "https://github.com/chenxiachan/textfold",
 "repo_slug": "chenxiachan-textfold",
 "title": "Read a long paper from overview to full text",
 "page_title": "How to read a long paper from overview to full text with Textfold",
 "summary": "Paste an arXiv or PubMed Central link and read the paper one level at a time.",
 "who": "A researcher or student who has a long paper to understand quickly and needs to decide which parts deserve a close read.",
 "problem": "A full paper takes a long time to read, and it is hard to tell which sections matter before reading them.",
 "outcome": "A folded view of the paper as a map of its sections, which you zoom into to reach the exact sentences you need.",
 "steps": [
  "Run `python3 -m pip install textfold` in a terminal, then run `python3 -m textfold serve`.",
  "Open `http://localhost:3017` in your browser.",
  "If the first page asks, connect a model: use Claude Code, Codex, or your ChatGPT plan, or click OpenRouter in one click.",
  "Paste the paper's arXiv or PubMed Central link and pick a language.",
  "Read the map at level 5, then press 3 or 2 on a section you want to understand more closely, and press 1 for the original text."
 ],
 "agent_prompt": "Using the TextFold repo at github.com/chenxiachan/textfold, run `python3 -m textfold get <paper-link> --level key --section 3` to get the key points of section 3 of the paper. Expected output: the points of that section, each with its reason. Verify that every point is marked as model-written and points back to the author's sentences it rests on.",
 "agents": [
  "any"
 ],
 "difficulty": "Beginner",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "Each level below Full is a fold of the text, and lines at levels 3 to 5 are written by a model, so check them against the original sentences they cite.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python 3.9 or newer, or the TextFold desktop app for macOS or Windows",
  "A model you already have, such as Claude Code, Codex, a ChatGPT plan, an API key, or a free OpenRouter setup"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/chenxiachan-textfold/read-a-paper-in-five-levels/",
 "md": "https://dedupedai.com/use-cases/chenxiachan-textfold/read-a-paper-in-five-levels/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/chenxiachan-textfold--read-a-paper-in-five-levels.json",
 "api_version": "v1"
}