VLDB 2026 Research / reviewers in the wild / expert
Arunava Gantait
dblp:336/3852
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0009-7871-3098ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Automating Proof Search when Equality is a Logical ConnectiveabstractAbstract Treating syntactic equality as a logical connective—governed by left- and right-introduction rules within the sequent calculus—offers an elegant and powerful approach to term identity. This treatment of equality allows for the derivation of core mathematical principles, such as Peano’s axioms (excluding induction), and serves as a foundation for the Abella interactive proof assistant. However, integrating this equality into automated proof search remains challenging. We present a proof search procedure that extends unification to handle the complexities of quantifier alternation and equations that occur in both positive and negative occurrences. While established logical frameworks such as $$\lambda $$ λ Prolog and LF lack direct support for this kind of equality, our procedure enables a lightweight logical framework that addresses this gap. Our system enables unification-aware proof search across a diverse range of first-order sequent calculi that can directly use this form of equality. Kaustuv Chaudhuri, Arunava Gantait, Dale Miller 0001 |
IJCAR (2) | 2 |
| 2025 | Designing a Safe Forward Chaining Tactic Using Productive ProofsabstractAbstract We present a proof-theoretic treatment of forward chaining and saturation within a multisorted, first-order intuitionistic logic with equality. The notions of polarity and focused proofs are central to our approach since they provide a characterization of geometric implications as bipolar formulas as well as a natural setting to describe forward chaining and the concept of productive proofs . We identify conditions under which forward chaining with a given set of formulas is guaranteed to saturate in a finite number of steps. The motivation for this research stems, in part, from exploring avenues to automate the Abella theorem prover, which relies on relational specifications, and where theorems in typical proof developments are essentially bipolar formulas. We illustrate the potential benefits of automating forward chaining and saturation for Abella by presenting examples that compute congruence closure and assist in other equational and relational reasoning tasks. Kaustuv Chaudhuri, Arunava Gantait, Dale Miller 0001 |
TABLEAUX | 2 |