DataEvolver: Let Your Data Build and Improve Itself via Goal-Driven Loop Agents

ArXi:2605.01789v1 Announce Type: new Constructing controllable visual data is a major bottleneck for image editing and multimodal understanding. Useful supervision is rarely produced by a single rendering pass; instead it emerges through iterative generation, inspection, correction, filtering, and export. We present DataEvolver, a closed-loop visual data engine that organizes this process around explicit goals, persistent artifacts, bounded corrective actions, and acceptance decisions.