While highly efficient, the well-known downside of this prevalent look-up table approach to kMC is the necessity to a priori establish the microkinetic model. This is typically done manually, i.e. the involved scientist merely chooses the considered metastable states and the connecting elementary processes based on more or less deep insight into the system. The human bias toward intuitive processes (often involving only a minimum number of atoms) may then result in overlooking potentially crucial processes. This has for a long time fueled efforts toward alternative, less error-prone kMC strategies. One recurrent idea is to mitigate the excessive computational costs of on-the-fly TS searches at each step of the kMC simulation by building up process catalogs for all already visited system states. Here, a number of one-sided TS searches like the dimer method or the activationrelaxation technique (ARTn) would be employed to more systematically establish elementary processes that lead out of a current system state i. These processes and their rate constants would be stored, and whenever state i is revisited in the state-to-state kMC trajectory the look-up entries rather than new TS searches would be employed.