Causal structure is the set of directed relationships between variables that describe how changes in one variable influence others within a system or phenomenon. As a fundamental concept and research area across diverse academic disciplines, it investigates the underlying generative mechanisms of observed data by identifying dependencies, distinguishing correlation from causation, and enabling prediction and intervention.