mlsanityData to 14 Oct 2026

One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences

arXiv 2509.23213 ↗First posted 27 Sep 2025cs.LG cs.AIcited by 4

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Abstract (arXiv)

Understanding causality in event sequences with thousands of sparse event types is critical in domains such as healthcare, cybersecurity, or vehicle diagnostics, yet current methods fail to scale. We present OSCAR, a one-shot causal autoregressive method that infers per-sequence Markov Boundaries using two pretrained Transformers as density estimators. This enables efficient, parallel causal discovery without costly global CI testing. On a real-world automotive dataset with 29,100 events and 474 labels, OSCAR recovers interpretable causal structures in minutes, while classical methods fail to scale, enabling practical scientific diagnostics at production scale.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 20 of its 43 references that are in the map. First posted on arXiv 27 Sep 2025.

Builds on

20 of 43 references.

References · 20

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8 more
  1. 2023Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequencescited by 14
  2. 2024Local Causal Structure Learning in the Presence of Latent Variablescited by 11
  3. 2020Estimating Causal Effects with the Neural Autoregressive Density Estimatorcited by 8
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  5. 2024Harnessing Event Sensory Data for Error Pattern Prediction in Vehicles: A Language Model Approachcited by 6
  6. 2020Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variablescited by 3
  7. 2021Causal Discovery of Flight Service Process Based on Event Sequencecited by 3
  8. 2023Learning Causal Alignment for Reliable Disease Diagnosiscited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 4.

4 papers.

  1. 2026Your Autoregressive Model Already Reveals the Causal Graphcited by 2
  2. 2026Transforming Vehicle Diagnostics: A Multimodal Approach to Error Patterns Predictioncited by 0
  3. 2026Multi-Agent Causal Reasoning System for Error Pattern Rule Automation in Vehiclescited by 0
  4. 2026seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequencescited by 0