The article presents a method to estimate unobservable transitions in event graph modeling for discrete event systems. By introducing pre/post observable paths and using row transformations of the incident matrix, the researchers designed a state estimator to estimate these transitions. They also analyzed observation costs and developed a method to find the optimal estimator. The approach was proven effective in estimating the state-range of unobservable transitions through an example provided in the article.