LBAC is a new programming model that enforces user-specified policies on agentic applications by requiring agent-generated programs to be well-typed in the context of the scaffolding code.
Seidel, Ranjit Jhala, Dimitrios Vytiniotis, and Simon L
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
fields
cs.PL 4years
2026 4verdicts
UNVERDICTED 4representative citing papers
Ranger is a bidirectional refinement type system for integer range types, implemented in the Licorne language, that integrates inference and flow analysis to verify bounds properties with low annotation overhead compared to Java, Scala, Checker Framework, and Liquid Java.
Formalizes shared-context batched satisfiability and evaluates predicate-by-predicate, disjunctive over-approximation, and new Core-Literal Filter on symbolic abstraction and active property checking tasks.
Clef compiler applies fixed-point scaffolding and a functor from compilation poset to target category to preserve dimensional, grade, escape and numeric structure through MLIR lowering while adding compact-closed negative and fractional types.
citing papers explorer
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Language-Based Agent Control
LBAC is a new programming model that enforces user-specified policies on agentic applications by requiring agent-generated programs to be well-typed in the context of the scaffolding code.
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Practical Range Refinement Types with Inference
Ranger is a bidirectional refinement type system for integer range types, implemented in the Licorne language, that integrates inference and flow analysis to verify bounds properties with low annotation overhead compared to Java, Scala, Checker Framework, and Liquid Java.
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Shared-Context Batched Satisfiability
Formalizes shared-context batched satisfiability and evaluates predicate-by-predicate, disjunctive over-approximation, and new Core-Literal Filter on symbolic abstraction and active property checking tasks.
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Fixed-Point Scaffolding in the Clef Programming Language
Clef compiler applies fixed-point scaffolding and a functor from compilation poset to target category to preserve dimensional, grade, escape and numeric structure through MLIR lowering while adding compact-closed negative and fractional types.