In stark contrast to two component irreversible copolymerization, the presence of reversible however, better fits to data were observed when the system was treated as irreversible. Wittmer, in 1970, applied the same methodology as Lowry but derived a general copolymer equation treating both monomers as reversible. Subsequently, simplified, or linearized versions of this equation have been applied, notably by Bates and coworkers, to describe acrylate/dithiolane copolymerization. In some cases, numerical instability during evaluation of Wittmer's copolymer equation has been noted. Other general equilibrium copolymer equations are available in the literature, such as that from Izu and coworkers, which relies on similar assumptions employed by Lowry and Wittmer but is derived using a statistical approach and appears in a disparate form. In 1987, Kruger et al. derived an equilibrium copolymer equation following conceptually similar approaches as Lowry, Izu et al., and Wittmer, which has been used subsequently to characterize 𝛼-methylstyrene copolymerization with methyl methacrylate and butyl acrylate in a linearized fashion. Following similar statistical arguments as Izu and coworkers, Szymański in 1986 developed a set of equations to characterize the equilibrium constants of Scheme 1 for the copolymerization between 1,3-dioxolane and 1,3-dioxepane, however this method required detailed microstructural analysis of the copolymer and was only applicable to living mechanisms where both comonomers undergo equilibrium polymerization. In 2018, Register and coworkers derived an equilibrium copolymer equation to describe the copolymerization of cyclopentene and norbornene, which was fit to data in integrated form for both terminal and penultimate models. Lynd and coworkers recently applied both integrated stochastic simulations and a simplified deterministic model to characterize glycolide/lactide copolymerization, treating glycolide propagation as irreversible. Implementation of this method, however, was multi-step, relied on extracting homopropagation rate coefficients, and involved iteratively passing best fit rate coefficients back and forth between methods.