MLLMs often lack transparent reasoning, merely providing final predictions without intermediate steps or visual evidence. This paper introduces the Visual Reasoning Tracer (VRT) task and associated benchmarks (VRT-Bench, VRT-80k) to explicitly require models to localize intermediate objects in their reasoning paths, significantly enhancing model interpretability and reliability.