While we generally recommend benchmarking AIMNet2-Pd before assuming accurate performance on new types of catalytic cross-coupling systems, the excellent performance for these out-of-distribution transition structures points to a broad utility of this framework for mechanistic studies. It is worth highlighting that even for cases where AIMNet2-Pd might show larger than desired deviations in the calculated relative energies, its ability to rapidly trace reaction coordinates can serve as an effective pre-processing step, drastically reducing the computational demands of follow-up electronic structure calculations in catalyst prescreening. For example, our experience suggests that conducting a large portion of transition state optimization with AIMNet2-Pd before switching to DFT can sharply reduce the number of expensive gradient/Hessian calls needed for convergence. This approach ultimately enables a more cost-effective and fast assessment of Pd catalysts.