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\citation{Woos_Wilcox_Anton_Tatlock_Ernst_Anderson_2016,Wilcox_Woos_Panchekha_Tatlock_Wang_Ernst_Anderson,Ongaro}
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\citation{Woos_Wilcox_Anton_Tatlock_Ernst_Anderson_2016}
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\bibcite{Lamport_1994}{1}
\bibcite{Holzmann_1997}{2}
\bibcite{Clarke_Wang}{3}
\bibcite{Basin_Cremers_Dreier_Sasse_2022}{4}
\bibcite{Blanchet_Smyth_Cheval_Sylvestre}{5}
\bibcite{Kobeissi_Nicolas_Tiwari}{6}
\bibcite{Blanchet_Jacomme}{7}
\bibcite{Basin_Linker_Sasse}{8}
\bibcite{Hippel2022_anonym}{9}
\bibcite{Cluzel_Georgiou_Moy_Zeller_2021}{10}
\bibcite{Smith_1997}{11}
\bibcite{Pacheco2022}{12}
\bibcite{Woos_Wilcox_Anton_Tatlock_Ernst_Anderson_2016}{13}
\bibcite{Wilcox_Woos_Panchekha_Tatlock_Wang_Ernst_Anderson}{14}
\bibcite{Ongaro}{15}
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\@writefile{lof}{\contentsline {figure}{\numberline {3}{\ignorespaces Breakdown of the attacker scenarios assessed with \textsc  {PANDA}\xspace  against our Raft \textsc  {Promela}\xspace  model. In all experiments, Raft was set to five peers and the drop/replay limits of the gadgets \textsc  {PANDA}\xspace  synthesized were set to two. We conducted our experiments on a research computing cluster, allocating 250GB of memory to each verification run. The full models and attacker traces are included in the artifact.}}{6}{}\protected@file@percent }
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