Score-Based Causal Discovery of Latent Variable Causal Models

ArXi:2605.20396v1 Announce Type: new Identifying latent variables and the causal structure involving them is essential across various scientific fields. While many existing works fall under the category of constraint-based methods (with e.g. conditional independence or rank deficiency tests), they may face empirical challenges such as testing-order dependency, error propagation, and choosing an appropriate significance level.