Extensible Data Types with Ad-Hoc Polymorphism

This paper proposes a novel language design that combines extensible data types, implemented through row types and row polymorphism, with ad-hoc polymorphism, implemented through type classes. Our design introduces several new constructs and constraints useful for generic operations over rows. We formalize our design in a source calculus λ ρ ⇒ , which elaborates into a target calculus F ω ⊗⊕ . We prove that the target calculus is type-safe and that the elaboration is sound, thus establishing the soundness of λ ρ ⇒ . All proofs are mechanized in the Lean 4 proof assistant. Furthermore, we evaluate our type system using the Brown Benchmark for Table Types, demonstrating the utility of extensible rows with type classes for table types.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Programming Languages
Published
2026-01-08
DOI
https://doi.org/10.1145/3776662
Primary Topic
Logic, programming, and type systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extensible Data Types with Ad-Hoc Polymorphism

Ningning Xie, Yanning Chen, Matthew Toohey, Ara Jamalzadeh
Proceedings of the ACM on Programming Languages
Logic, programming, and type systems
article

Extensible Data Types with Ad-Hoc Polymorphism

Ningning Xie, Yanning Chen, Matthew Toohey, Ara Jamalzadeh
article en

Abstract

This paper proposes a novel language design that combines extensible data types, implemented through row types and row polymorphism, with ad-hoc polymorphism, implemented through type classes. Our design introduces several new constructs and constraints useful for generic operations over rows. We formalize our design in a source calculus λ ρ ⇒ , which elaborates into a target calculus F ω ⊗⊕ . We prove that the target calculus is type-safe and that the elaboration is sound, thus establishing the soundness of λ ρ ⇒ . All proofs are mechanized in the Lean 4 proof assistant. Furthermore, we evaluate our type system using the Brown Benchmark for Table Types, demonstrating the utility of extensible rows with type classes for table types.

Proceedings of the ACM on Programming LanguagesVol. 10(POPL)
University of Toronto (CA)
Openalex Percentile: Top 93%
Logic, programming, and type systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.