RACE: Residual-Aware Test-Time Adaptation for Neighbor-Rich Time-Series Foundation Model Forecasting

arXiv:2610.00405 · cs.LG, stat.ML · Submitted 2026-09-30 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/alibaba/clusterdata

Terminology

• Calibration — 22× in this paper · explained in 7 episodes
• RAG — 15× in this paper · explained in 3 episodes
• Foundation Model — 12× in this paper · explained in 3 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Adaptation — 8× in this paper · explained in 1 episode
• Personalization — 7× in this paper · explained in 2 episodes
• Time Series Forecasting — 7× in this paper · explained in 3 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Foundation Models — 6× in this paper · explained in 7 episodes
• Trace — 6× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Provenance — 4× in this paper · explained in 3 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Consensus-Evidence Residual Regressor — 3× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Non-stationarity — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• AUC — 2× in this paper · explained in 2 episodes
• Residual-Aware Correction of Forecasting Errors — 2× in this paper
• Retrieval Augmented Forecasting — 2× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Two-Stage Framework — 2× in this paper · explained in 2 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Adaptive Retrieval Mixer — 1× in this paper
• Core — 1× in this paper · explained in 2 episodes
• Dynamic Time Warping (DTW) — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• Chronos-2: From Univariate to Universal Forecasting
• The Faiss library
• Retrieval Based Time Series Forecasting
• Toto 2.0: Time Series Forecasting Enters the Scaling Era
• Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection
• GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting

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