{"id":"2604.18697","title":"Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs","url":"https://codeofpaper.com/paper/2604.18697","arxiv_url":"https://arxiv.org/abs/2604.18697","published":"2026-04-20","code":"official","best":{"full_name":"Emory-AIMS/Inextractability","url":"https://github.com/Emory-AIMS/Inextractability","tier":"official","stars":5,"license":"MIT","framework":null,"language":"Python","last_commit":"2026-04-22T02:19:14"},"most_starred_community":null,"implementations":[{"full_name":"Emory-AIMS/Inextractability","url":"https://github.com/Emory-AIMS/Inextractability","tier":"official","stars":5,"license":"MIT","framework":null,"language":"Python","last_commit":"2026-04-22T02:19:14"}],"possible_matches":0}