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Spin-glasses have long been considered the paradigm of many variable `complex
landscapes,' a subject that includes neural networks and optimization problems,
-most notably constraint satisfaction \cite{mezard2009information}. The most tractable family of these
+most notably constraint satisfaction \cite{Mezard_2009_Information}. The most tractable family of these
are the mean-field spherical $p$-spin models \cite{Crisanti_1992_The} (for a
review see \cite{Castellani_2005_Spin-glass}) defined by the energy
\begin{equation} \label{eq:bare.hamiltonian}