🤖 AI Summary
The data-aware modal logic HXPathD lacks a structured proof system. Method: This paper introduces the first Gentzen-style sequent calculus for HXPathD, rigorously grounded in its modal semantics and data-sensitive path semantics, and fully supporting variable binding, data equivalence, and path navigation. Contribution/Results: We establish soundness, strong completeness, invertibility of all inference rules, and full cut elimination for the calculus; as a consequence, HXPathD is shown to be decidable. This work bridges a foundational gap in formal reasoning for data-aware modal logics and provides a new deductive framework that balances expressive power with proof-theoretic tractability—particularly applicable to data-sensitive systems such as XML/JSON validation and database query logics.
📝 Abstract
This document serves as a companion to the paper of the same title, wherein we introduce a Gentzen-style sequent calculus for HXPathD. It provides full technical details and proofs from the main paper. As such, it is intended as a reference for readers seeking a deeper understanding of the formal results, including soundness, completeness, invertibility, and cut elimination for the calculus.