Probing the effectiveness of World Models for Spatial Reasoning through Test-time Scaling

This article investigates the performance of World Models in spatial reasoning tasks, utilizing test-time scaling as a method for evaluation. The focus is on understanding how well these models can handle spatial relationships and whether scaling during testing improves their accuracy. The research likely involves experiments and analysis of the models' behavior under different scaling conditions.