We identify topological dissipation – momentum transport along the polymer backbone with Ising-type exponential decay () – as the missing link connecting atomistic and mesoscale dynamics. Simulations of four polymers reveal that dynamical correlation length (Kuhn length ), enabling a coarse-grained framework that \emph{explicitly separates} topological (intrachain) and spatial (interchain) dissipation channels without temporal memory kernels. The approach quantitatively reproduces dynamics from segmental relaxation to chain diffusion, solving the long-standing memory preservation challenge in Markovian coarse-graining. Our results establish topology-mediated dissipation as a key mechanism for polymer dynamics.

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