Architectural Sampling: Test-Time Scaling via Computational Diversity in Frozen Vision-Language Models

Test-time scaling often seeks better answers by sampling multiple responses from a frozen model, yet conventional temperature sampling generates every candidate along the same fixed computation path. We introduce architectural sampling, a training-free method that generates candidates through distin