Resource-Bounded Type Theory: Compositional Cost Analysis via Graded Modalities
Mirco A. Mannucci, Corey Thuro
TL;DR
The paper tackles the problem of certifying resource usage within typed programs by proposing a compositional type system that synthesizes resource bounds from an abstract lattice and checks them against budgets. It introduces a graded feasibility modality Box_r A and develops a syntactic term model in the presheaf topos Set^L, proving cost soundness, canonical forms, and initiality. The recursion-free simply-typed fragment is carefully analyzed with metatheory results (type and cost soundness) and a semantic justification via the Set^L model, while Lean 4 serves as an engineering focal point for recursion patterns and case studies such as binary search. The work enables modular reasoning about time, memory, and gas across multi-dimensional budgets, and provides a foundation for future mechanization, dependent types, and tooling, with practical impact on safety-critical and resource-bounded systems.
Abstract
We present a compositional framework for certifying resource bounds in typed programs. Terms are typed with synthesized bounds drawn from an abstract resource lattice, enabling uniform treatment of time, memory, gas, and domain-specific costs. We introduce a graded feasibility modality with co-unit and monotonicity laws. Our main result is a syntactic cost soundness theorem for the recursion-free simply-typed fragment: if a closed term has synthesized bound b under a given budget, its operational cost is bounded by b. We provide a syntactic term model in the topos of presheaves over the lattice -- where resource bounds index a cost-stratified family of definable values -- with cost extraction as a natural transformation. We prove canonical forms via reification and establish initiality of the syntactic model: it embeds uniquely into all resource-bounded models. A case study demonstrates compositional reasoning for binary search using Lean's native recursion with separate bound proofs.
