{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "xiantingwu-verirepro--plan-paper-reproduction-without-running-code",
 "repo": "XiantingWu/VeriRepro",
 "repo_url": "https://github.com/XiantingWu/VeriRepro",
 "repo_slug": "xiantingwu-verirepro",
 "title": "Plan a paper's reproduction without running its code",
 "page_title": "How to plan a paper's reproduction without running its code with Veri Repro",
 "summary": "Map a paper's claims to repository and environment evidence with no third-party code execution.",
 "who": "A researcher or reviewer who wants to see what it would take to reproduce a computational paper before running anyone's experiment code.",
 "problem": "Reading a paper and its repository by hand takes time, and running unknown code is risky before you know what it needs.",
 "outcome": "A reproduction workspace with planning artifacts such as repository-plan.json and environment-plan.json, plus a report, and no third-party experiment execution.",
 "steps": [
  "Install the published package with `python -m pip install verirepro`.",
  "Check the local setup with `verirepro doctor --json`.",
  "Plan the reproduction of a pinned smoke-corpus paper with `verirepro plan 2103.00020v1`.",
  "Run the planning-only reproduction with `verirepro reproduce 2103.00020v1 --no-execute --no-llm` and open the generated report.json or report.md."
 ],
 "agent_prompt": "Using the VeriRepro repo (XiantingWu/VeriRepro), install the verirepro package and run `verirepro reproduce <paper-id> --no-execute --no-llm` for the paper <paper-id>. Confirm the workspace contains repository-plan.json and environment-plan.json and that no experiment code was executed, then summarize the report.json status and the planned steps.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "15 minutes",
 "basis": "readme",
 "caveat": "The planning-only path does not run the paper's experiments, so it cannot tell you whether the scientific result reproduces.",
 "category": "Research",
 "tags": [
  "Research"
 ],
 "lang": "python",
 "requirements": [
  "Python with pip to install the verirepro package from PyPI",
  "A pinned arXiv ID, DOI, PDF URL, or local PDF of the paper",
  "Docker, only if you want third-party experiment code to execute",
  "An OpenAI-compatible model endpoint, only if you want model-assisted analysis"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": true,
 "score": 1.0,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/xiantingwu-verirepro/plan-paper-reproduction-without-running-code/",
 "md": "https://dedupedai.com/use-cases/xiantingwu-verirepro/plan-paper-reproduction-without-running-code/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/xiantingwu-verirepro--plan-paper-reproduction-without-running-code.json",
 "api_version": "v1"
}