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How to plan a paper's reproduction without running its code with Veri Repro

Map a paper's claims to repository and environment evidence with no third-party code execution.

  • Top pick
  • Research
  • Intermediate
  • 15 minutes
  • From the README
  • Any agent

Who it is forA researcher or reviewer who wants to see what it would take to reproduce a computational paper before running anyone's experiment code.

The problemReading a paper and its repository by hand takes time, and running unknown code is risky before you know what it needs.

The outcomeA reproduction workspace with planning artifacts such as repository-plan.json and environment-plan.json, plus a report, and no third-party experiment execution.

What you need first

  • 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

Steps

  1. Install the published package with python -m pip install verirepro.
  2. Check the local setup with verirepro doctor --json.
  3. Plan the reproduction of a pinned smoke-corpus paper with verirepro plan 2103.00020v1.
  4. Run the planning-only reproduction with verirepro reproduce 2103.00020v1 --no-execute --no-llm and open the generated report.json or report.md.

Prompt for your agent

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.

Caveat. The planning-only path does not run the paper's experiments, so it cannot tell you whether the scientific result reproduces.

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