Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series

ArXi:2603.05092v2 Announce Type: replace-cross Time series forecasting has witnessed an increasing demand across diverse industrial applications, where accurate predictions are pivotal for informed decision-making. Beyond numerical time series data, reliable forecasting in practical scenarios requires integrating diverse exogenous factors. Such exogenous information is often multi-dimensional or even multimodal,