Stochastic Boolean Satisfiability (SSAT) is a powerful representation for the concise encoding of quantified decision problems with uncertainty. While it shares commonalities formula (QBF) satisfiability and has same PSPACE-complete complexity, SSAT solving tends to be more challenging as involves expensive model counting, a.k.a. Sharp-SAT. To date, solvers, especially those imposing no restric...