SEP 3, 2026 · PREPRINT
RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting
arXiv
This is a methodological computer science paper presenting a novel algorithmic approach (RATL) for time-series forecasting, without clinical or real-world validation data, comparative efficacy claims, or outcomes relevant to clinical practice.
Study details
InterventionRATL: a residual-retrieval and feedback-cor…
ComparatorMultiple strong forecasting baselines; iTra…