All CG models resulting from the present benchmark could be run in 200 ns simulations using time steps of 20 fs. By default, Swarm-CG uses conservative maximum values for force constants, which maximizes the stability of the optimized models for usage in assembly simulations. To this end, the iterative optimization process aims at identifying an appropriate balance of force constants between all elements of the topology while reproducing AA-mapped geoms distributions in the CG model. For special needs, all parameters of the software can be modified, notably allowing users to increase the range of the force constants to be explored during optimization, although this might be detrimental to the model stability and should be used carefully. Simulations instabilities in optimized models would most likely be caused by issues in the topology definition (e.g. geoms or bond lengths scaling). Interestingly, we demonstrated that Swarm-CG can also be used as a diagnostic tool, notably for large molecular structures for which both bonded and non-bonded parametrizations, as well as obtaining a sufficient AA-MD sampling to produce a reliable reference trajectory can be particularly complex (cf. section 3.3.3).