Amaryllis is the first general-purpose probabilistic separation logic supporting dynamic memory allocation, independence, and conditioning, with a mechanized soundness proof in Rocq.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Hyper Separation Logic extends separation logic and Hyper Hoare Logic with a hyper separating conjunction to support arbitrary quantifier alternation for hyperproperties over heap programs, with a soundness proof in Isabelle/HOL.
APPL is a sound, relatively complete abstract program logic that subsumes Hoare, incorrectness, and hyperproperty logics via lattice semantics and a non-idempotent monoidal operator for nondeterminism.
citing papers explorer
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First Steps Towards Probabilistic Iris: Harmonizing Independence, Conditioning, and Dynamic Heap Allocation
Amaryllis is the first general-purpose probabilistic separation logic supporting dynamic memory allocation, independence, and conditioning, with a mechanized soundness proof in Rocq.
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Hyper Separation Logic (extended version)
Hyper Separation Logic extends separation logic and Hyper Hoare Logic with a hyper separating conjunction to support arbitrary quantifier alternation for hyperproperties over heap programs, with a soundness proof in Isabelle/HOL.
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A Program Logic for Abstract (Hyper)Properties
APPL is a sound, relatively complete abstract program logic that subsumes Hoare, incorrectness, and hyperproperty logics via lattice semantics and a non-idempotent monoidal operator for nondeterminism.