  Recent years have seen the emergence of object-centric process mining
techniques. Born as a response to the limitations of traditional process mining
in analyzing event data from prevalent information systems like CRM and ERP,
these techniques aim to tackle the deficiency, convergence, and divergence
issues seen in traditional event logs. Despite the promise, the adoption in
real-world process mining analyses remains limited. This paper embarks on a
comprehensive literature review of object-centric process mining, providing
insights into the current status of the discipline and its historical
trajectory.
