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authorericmarin <maarin.eric@gmail.com>2026-06-21 15:38:35 +0200
committerericmarin <maarin.eric@gmail.com>2026-06-26 09:57:03 +0200
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parent8d082714a1544de0c93f1963738b0db0e114df65 (diff)
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related work + conclusion
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diff --git a/chapters/background/03-satisfiability-modulo-theories.tex b/chapters/background/03-satisfiability-modulo-theories.tex
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--- a/chapters/background/03-satisfiability-modulo-theories.tex
+++ b/chapters/background/03-satisfiability-modulo-theories.tex
@@ -19,6 +19,6 @@ To represent a ReLU activation $y = \max(0, x)$ in LRA, we must introduce a disj
(x > 0 \land y = x) \lor (x \le 0 \land y = 0)
\end{equation}
For a network with $N$ ReLU neurons, there are up to $2^N$ possible activation patterns. Solving the
-verification property requires the SMT solver, such as Z3 presented by Demura et al.~\cite{demoura2008z3},
+verification property requires the SMT solver, such as Z3 presented by De Moura et al.~\cite{demoura2008z3},
to implicitly explore this branching search space.