Figure illustrates an overview of our three-stage workflow. Stage 1, denoted as concurrent learning, employs a Pynta-based protocol to explore system configurations along the reaction coordinate region and iteratively train the rMLP. The term "concurrent learning" and its distinguishing features from pure active learning are discussed in prior work. Here, we focus on obtaining transition states through Pynta's comprehensive transition state search.