JudgeCast: Time Series Forecasting with Experience-Informed Covariate Judgements
JudgeCast is introduced, an experience-based framework for time series forecasting with covariates that shows that explicit covariate-wise judgment can improve forecast-time adjustment, while residual-guided experience construction yields more reliable forecasting gains than retaining raw decisions as experience.