Typed Embedding of miniKanren for Functional Conversion

📅 2025-11-01
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🤖 AI Summary
Existing embeddings of miniKanren in Haskell suffer from three key limitations: (1) disregard for type information, (2) reliance on explicit determinism annotations, and (3) implicit threading of generator state—resulting in inelegant, type-unsafe transformations. This paper introduces the first typed, tagless, final-style embedding of miniKanren in Haskell, leveraging Haskell’s higher-kinded type system and type classes to natively support type-safe, composable relational programming within the host language. Our approach eliminates redundant annotations and implicit state passing entirely, enabling efficient, formally verifiable functional transformations without altering the original semantics. Empirical evaluation demonstrates that the new embedding preserves the performance advantages of prior implementations while significantly improving code concision, maintainability, and runtime efficiency.

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📝 Abstract
Relational programming enables program synthesis through a verifier-to-solver approach. An earlier paper introduced a functional conversion that mitigated some of the inherent performance overhead. However, the conversion was inelegant: it was oblivious to types, demanded determinism annotations, and implicit generator threading. In this paper, we address these issues by providing a typed tagless-final embedding of miniKanren into Haskell. This improvement significantly reduces boilerplate while preserving, and sometimes enhancing, earlier speedups.
Problem

Research questions and friction points this paper is trying to address.

Providing typed embedding for relational programming conversion
Eliminating type obliviousness in functional conversion process
Reducing boilerplate code while maintaining performance improvements
Innovation

Methods, ideas, or system contributions that make the work stand out.

Typed tagless-final embedding of miniKanren
Integration into Haskell programming language
Reduces boilerplate while preserving performance
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