arXiv Paper Tests How Vision-Language Models Choose Physical Experiments

A new arXiv preprint examines whether vision-language models can pick which physical measurement experiment to run next when given an image from an earlier trial. The setup asks a model to reason from one observation, such as how far a block slid, to predict the outcome of a new trial. The work probes how well these models transfer physical understanding to fresh experimental choices.