We present a notion of bounded quantification for refinement types and show how it expands the expressiveness of refinement typing by using it to develop typed combinators for: (1) relational algebra and safe database access, (2) Floyd-Hoare logic within a state transformer monad equipped with combinators for branching and looping, and (3) using the above to implement a refined IO monad that tracks capabilities and resource usage. This leap in expressiveness comes via a translation to ``ghost" functions, which lets us retain the automated and decidable SMT based checking and inference that makes refinement typing effective in practice.

We demonstrate for the first time that Liquid Haskell, a refinement type checker for Haskell programs, can be used for arbitrary theorem proving by verifying a parallel, monoidal string matching algorithm implemented in Haskell. We use refinement types to specify correctness properties, Haskell terms to express proofs of these properties, and Liquid Haskell to check the proofs. We evaluate Liquid Haskell as a theorem prover by replicating our 1428 LoC proof in a dependently-typed language (Coq - 1136 LoC). Finally, we compare both proofs, uncovering the relative advantages and disadvantages of the two provers.