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This paper introduces VHop, a data generation framework and benchmark for multi-step visual retrieval, and VHop-Router, an end-to-end trained autoregressive multi-step retriever that operates in visual latent space, boosting retrieval from under 5% to 76.3% and improving agentic search success by 52.7% while drastically cutting tokens and API payload.