EditSleuth: A Dataset of Grounded Reasoning Chains for Image-Edit Forensics

ArXi:2605.08695v1 Announce Type: new Forensic analysis of AI-edited images requires than binary real-versus-fake prediction: a useful system should localize the edit, identify its semantic type, and ground its decisions in visual evidence. Existing image-forensics datasets typically emphasize detection or localization, while reasoning-supervised vision-language datasets rarely target image manipulation and often rely on LLM-generated rationales whose faithfulness is difficult to verify. We.