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cs.LO2026
On-the-fly LTLf Synthesis under Partial Observability
Nadav Alon, Supratik Chakraborty, Alexandre Duret-Lutz +4
LTLf synthesis under partial observability requires reasoning about unobservable environment variables, which is typically handled by constructing a belief-state DFA via subset con…
cs.LO2026
Efficient Incremental #SAT via Cross-Instance Knowledge Reuse
Uriya Bartal, Dror Fried, Jean-Marie Lagniez
Model counting () is a fundamental yet -complete problem central to probabilistic reasoning. In this work, we address \textit{incremental model counting},…