Linear Temporal Logic Modulo Theories over Finite Traces (Extended Version)
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Abstract (arXiv)
This paper studies Linear Temporal Logic over Finite Traces (LTLf) where proposition letters are replaced with first-order formulas interpreted over arbitrary theories, in the spirit of Satisfiability Modulo Theories. The resulting logic, called LTLf Modulo Theories (LTLfMT), is semi-decidable. Nevertheless, its high expressiveness comes useful in a number of use cases, such as model-checking of data-aware processes and data-aware planning. Despite the general undecidability of these problems, being able to solve satisfiable instances is a compromise worth studying. After motivating and describing such use cases, we provide a sound and complete semi-decision procedure for LTLfMT based on the SMT encoding of a one-pass tree-shaped tableau system. The algorithm is implemented in the BLACK satisfiability checking tool, and an experimental evaluation shows the feasibility of the approach on novel benchmarks.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 6 of its 51 references that are in the map. First posted on arXiv 28 Apr 2022.
Builds on
6 of 51 references.
References · 6
- 2013Information and Computationcited by 6
- 2016A New Rule for LTL Tableauxcited by 4
- 2018One-Pass and Tree-Shaped Tableau Systems for TPTL and TPTLb+Pastcited by 4
- 2017VERIFAS: A Practical Verifier for Artifact Systemscited by 3
- 2019Formal Modeling and SMT-Based Parameterized Verification of Data-Aware BPMN (Extended Version)cited by 3
- 2017A Parallel Linear Temporal Logic Tableaucited by 2
Built on by
Citing papers per year: 2023: 1; 2024: 1; 2025: 3; 2026: 3.
8 papers.
- 2023Decidable Fragments of LTLf Modulo Theories (Extended Version)cited by 5
- 2024Predictable and Performant Reactive Synthesis Modulo Theories via Functional Synthesiscited by 2
- 2025ScenicProver: A Framework for Compositional Probabilistic Verification of Learning-Enabled Systemscited by 1
- 2025Research Vision: Multi-Agent Path Planning for Cops And Robbers Via Reactive Synthesiscited by 0
- 2025Towards Constraint Temporal Answer Set Programmingcited by 0
- 2026Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)cited by 0
- 2026Mining Beyond the Bools: Learning Data Transformations and Temporal Specificationscited by 0
- 2026Monitoring Data-aware Temporal Properties (Extended Version)cited by 0
- 2026Monitoring Data-aware Temporal Properties (Extended Version)14 May 2026
- 2026Mining Beyond the Bools: Learning Data Transformations and Temporal Specifications5 Mar 2026
- 2026Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)5 Feb 2026
- 2025ScenicProver: A Framework for Compositional Probabilistic Verification of Learning-Enabled Systems4 Nov 2025
- 2025Towards Constraint Temporal Answer Set Programming18 Jul 2025
- 2025Research Vision: Multi-Agent Path Planning for Cops And Robbers Via Reactive Synthesis14 Mar 2025
- 2024Predictable and Performant Reactive Synthesis Modulo Theories via Functional Synthesis12 Jul 2024
- 2023Decidable Fragments of LTLf Modulo Theories (Extended Version)31 Jul 2023