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This paper investigates how different inference-time deployment rules (rollout strategies) impact multi-horizon volatility forecasting. It shows that non-default rollout rules often improve performance and that validation-based deployment policies provide a low-cost improvement over standard MIMO deployment, emphasizing the importance of deployment policy alongside model architecture.