WROP dataset and PWM‑WROP 16B world model released to study object permanence
The paper arXiv:2609.28654v1 introduces WROP, a cognitive-science-inspired data infrastructure of 150 hand-designed tasks (six cognitive categories) with Blender generators producing 10,000+ samples per task, and releases a 1.5M-sample training corpus plus a 300-question exam. The authors evaluate 14 video models (3 reference-to-video, 7 edit, 4 continuation), report PWM-WROP (a 16B world model) ranked first among continuation models and third overall in a blind pairwise Elo study, and release data, exam, model answers, scores, model weights, and the PWM native-PyTorch training stack on AWS Trainium2.