AI RESEARCH
PA-RNet: Perturbation-Aware Residual Network for Robust Multimodal Time Series Forecasting
arXiv CS.LG
•
ArXi:2508.04750v2 Announce Type: replace In real-world applications, multimodal time-series forecasting faces a key challenge: textual information is often useful but unreliable. Auxiliary texts may contain irrelevant, ambiguous, incomplete, or structurally corrupted content, making direct text integration prone to