A semi-synthetic dataset of 7 million context-augmented time series windows with verifier-filtered contexts enables transfer to real-world context-aided forecasting and suggests data quality—not architecture—was the bottleneck.
This downturn led to a reduction in production capacity, causing values to be approximately 20% lower than the previous year
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Overcoming the Modality Gap in Context-Aided Forecasting
A semi-synthetic dataset of 7 million context-augmented time series windows with verifier-filtered contexts enables transfer to real-world context-aided forecasting and suggests data quality—not architecture—was the bottleneck.