IncreFA: Breaking the Static Wall of Generative Model Attribution

ArXi:2604.17736v1 Announce Type: new As AI generative models evolve at unprecedented speed, image attribution has become a moving target. New diffusion, adversarial and autoregressive generators appear almost monthly, making existing watermark, classifier and inversion methods obsolete upon release. The core problem lies not in model recognition, but in the inability to adapt attribution itself. We