SOURCE-LINKED INTELLIGENCE

ReproAgent: Contract-Guided Paper-to-Code Reproduction

arXiv · AI, language, vision and robotics · article · Aug 25, 2026 · UTC

Paper-to-code reproduction asks scientific AI agents to turn research papers into executable repositories that preserve the paper's method, protocol and artifacts. This is difficult because the specification is split: explicit paper content such as algorithms, metrics and artifacts is often lost across long agent trajectories, while implicit details such as framework defaults and conventions inherited from related work are absent from the paper. We introduce ReproAgent, a four-stage Prepare--Plan--Generate--Repair pipeline built around a persistent implementation contract with two channels: an

Read original source ↗ Open in workspace

recordType: paper
region: Global

Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-08-25T09:19:00.000Z

First collected: 2026-09-21T10:02:02.728Z. This is not the publication date.