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Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding

arXiv cs.AI · 2026-09-04 Cached

This paper investigates numerical Totally-Ordered HTN planning by extending SAT-based encodings with SMT to handle numeric fluents, introduces a benchmark suite, and shows competitive performance as a baseline for future work.

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Multi-Agent Planning with Spatio-Temporal and Topological Constraints using STL-GO

arXiv cs.AI · 2026-08-03 Cached

This paper presents two sound encodings (MIP and SMT) for multi-agent path planning with spatio-temporal and topological constraints expressed in STL-GO, and evaluates them on a multi-UAV search-and-rescue benchmark.

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From Patterns to Maze Structures: SMT-Based Path Synthesis and 2D/3D Construction

arXiv cs.AI · 2026-07-14 Cached

Introduces an SMT-based pipeline for synthesizing maze solution paths from input patterns and constructing planar and 3D maze structures. Extends a conference paper with detailed construction methods and SMT-LIB examples.

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Towards Verifiable Transformers: Solver-Checkable Circuit Explanations

arXiv cs.LG · 2026-05-26 Cached

This paper introduces Verifiable Transformers, a framework that converts task-localized Transformer circuits into bounded, solver-checkable claims, enabling formal verification of properties such as functional equivalence, edge necessity, and robustness.

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