A Gaussian-process reconstruction of Hubble data is used to pick power-law and exponential f(L_m) models, but the dynamical-system proof of a stable late-time attractor is invalid for these models because f_R is constant, making a key denominator zero.
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Late time behavior in $f(R,\mathcal{L}_{m})$ gravity through Gaussian reconstruction and dynamical stability
A Gaussian-process reconstruction of Hubble data is used to pick power-law and exponential f(L_m) models, but the dynamical-system proof of a stable late-time attractor is invalid for these models because f_R is constant, making a key denominator zero.