Property-driven Causal Abstractions for Markov Decision Processes
arXiv:2609.19944v1 Announce Type: new Abstract: Large language models (LLMs) have been applied to causal discovery, but candidate-graph generation rarely treats premature omission
arXiv:2608.05205v1 Announce Type: new Abstract: Event-centric intelligent analytical systems heavily depend on explicit causal event knowledge for risk early warning,
arXiv:2509.03636v3 Announce Type: replace Abstract: On-the-fly reasoning often requires adaptation to novel problems under limited data and distribution shift. This work
arXiv:2606.14892v1 Announce Type: new Abstract: An artificial intelligence must have a model of its environment that is causal, supporting reasoning about interventions and
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