ChronoVision reaches 74.8% on visual time tests

ChronoVision reached 74.8% in-domain and 71.6% out-of-domain accuracy on Vbvr-VQA by training a multimodal model to reconstruct the latent final state of a visual transformation rather than narrate every intermediate step in language. The framework also scored 55.0% on the cross-domain IntPhys2 benchmark, evidence that latent visual reasoning transfers but remains far from solved. Builders following the economics of turning simulation into a robot-testing funnel should treat this as a promising architecture signal, not a deployment grade: preserve explicit temporal tests around any system that must reason about changing physical scenes.