---
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id: "b5bef6c8cbe2c461ad638c48dcea89eb13f2c2333ef241415ba8a9721b6fd6ee"
canonical_url: "https://aidr.today/b5bef6c8?lang=en"
title: "ReproBridge: Building Reproducibility into ML Research Artifacts"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
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published_at: "2026-11-10T00:00:00.000Z"
category: "Open Source"
topics: ["agent","open-source"]
source_urls: ["https://huggingface.co/papers/2611.08452"]
summary: "ReproBridge is an agent workflow for constructing refined reproducible artifacts for machine learning research. ReproBridge-Bench provides 1,029 tasks from 387 experiments across 36 papers. Across four evaluated models, refined artifacts raise mean reproduction success from 76.4% to 92.6% and reduce downstream API spending by 19.7% on average."
---

# ReproBridge: Building Reproducibility into ML Research Artifacts

> [Open the canonical story](<https://aidr.today/b5bef6c8?lang=en>)

**Published:** 2026-11-10T00:00:00.000Z
**Category:** Open Source
**Topics:** agent, open\-source

## Summary

ReproBridge is an agent workflow for constructing refined reproducible artifacts for machine learning research\. ReproBridge\-Bench provides 1,029 tasks from 387 experiments across 36 papers\. Across four evaluated models, refined artifacts raise mean reproduction success from 76\.4% to 92\.6% and reduce downstream API spending by 19\.7% on average\.

## Sources

- [Story source](<https://huggingface.co/papers/2611.08452>)