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This paper introduces LeadTime-ICL (LT-ICL), a censoring-aware in-context learning model for probabilistic supplier lead time forecasting. It combines a transformer backbone with a normalizing flow head and demonstrates strong performance across 24 industrial supply chain datasets without task-specific retraining.