Arrow is a pretrained transformer that discovers causal graphs from observational data by factorizing them into skeletons and orders, trained end-to-end on diverse synthetic examples to match or exceed prior methods at lower inference cost.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Arrow: A Foundation Model for Causal Discovery
Arrow is a pretrained transformer that discovers causal graphs from observational data by factorizing them into skeletons and orders, trained end-to-end on diverse synthetic examples to match or exceed prior methods at lower inference cost.