Mobility-network topology carries incremental, softness-orthogonal information about future aging dynamics in a glass-forming liquid

Does the spatial organization of particle mobility in a glass predict future motion beyond what local structure knows? In leakage-free simulations of an aging Kob–Andersen liquid ($N=2028$; 200 trajectories; three temperatures), mobility-network topology raises the out-of-fold $R^2$ by $\text{dRtwo}=0.0049$–$0.0122$, monotonically with quench depth, retaining $\ge 98\mathrm{\%}$ atop softness-class baselines. Giant mobile components are dense hotspots whose members subsequently quiet down: exhaustion zones of cooperative motion — a spatial anticorrelation channel invisible to single-particle descriptors.