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Universal Multi-Modal Traceformer: Integrating Heterogeneous Context for Process Event Prediction

arXiv · AI, language, vision and robotics · article · Sep 21, 2026 · UTC

Event logs arise in a wide range of real-world processes, capturing not only event activities and timestamps but also multi-modal contextual information. Existing event-sequence models, including many temporal point process approaches, primarily model event activities and timestamps while overlooking heterogeneous context, such as numerical measurements, categorical attributes, textual descriptions, and metadata associated with individual events and entire traces. In this paper, we propose Universal Multi-Modal Traceformer (UMT), a unified framework for incorporating heterogeneous process cont

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