Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling

Time series foundation models (TSFMs) are transforming the forecasting paradigm through large-scale cross-domain pretraining. However, most existing TSFMs remain univariate, and recent efforts to enable cross-variate modeling still operate directly within the raw variate space. This design introduces fundamental limitations in semantic alignment and relational expressivity. Specifically, raw-space group mixing lacks a dedicated mechanism to align heterogeneous physical quantities, while standard

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ethics.ai (26 May 2026), “Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling,” evidence record 3659, https://ethics.ai/record/3659 (originally published by arXiv).

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