The correctness of type-checking implementations for proof assistants based on dependent type theory relies on metatheoretical properties that ensure the decidability of typing, some of which require substantial logical strength. Recent mechanizations of such algorithms have highlighted the importance of separating the algorithmic components of the proof - often intricate but requiring relatively low logical strength - from the logical components, which depend on stronger metatheoretical properties, such as normalization or the injectivity of type constructors. In this work, we revisit the logical relations technique and show how it can be used to derive these metatheoretical properties in a direct and uniform way for a core dependent type theory featuring Π-types, N, ⊥ and a universe U. Our presentation yields a compact and conceptually simplified argument that isolates the logically strong reasoning from the algorithmic core. We argue that this approach scales smoothly to richer type theories, and demonstrate this by extending our construction to Exceptional Type Theory (ExcTT), obtaining the first mechanized canonicity proof for this theory.

This paper proposes a general semantic framework for verifying programs with arbitrary monadic side-effects using Dijkstra monads, which we define as monad-like structures indexed by a specification monad. We prove that any monad morphism between a computational monad and a specification monad gives rise to a Dijkstra monad, which provides great flexibility for obtaining Dijkstra monads tailored to the verification task at hand. We moreover show that a large variety of specification monads can be obtained by applying monad transformers to various base specification monads, including predicate transformers and Hoare-style pre- and postconditions. For defining correct monad transformers, we propose a language inspired by Moggi’s monadic metalanguage that is parameterized by a dependent type theory. We also develop a notion of algebraic operations for Dijkstra monads, and start to investigate two ways of also accommodating effect handlers. We implement our framework in both Coq and F*, and illustrate that it supports a wide variety of verification styles for effects such as exceptions, nondeterminism, state, input-output, and general recursion.