The paper proposes persistent caching of component data and adapted branching heuristics to amortize computation in incremental #SAT, showing performance gains on argumentation and soft core problems.
Computational Models of Argument,
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Efficient Incremental #SAT via Cross-Instance Knowledge Reuse
The paper proposes persistent caching of component data and adapted branching heuristics to amortize computation in incremental #SAT, showing performance gains on argumentation and soft core problems.