Overview

Formal verification studies rigorous ways to show that systems satisfy properties such as safety, security, and correctness. It represents systems and requirements with logic, then uses theorem proving, model checking, SMT solving, static analysis, and runtime monitoring to prove properties or find counterexamples. These methods apply to software, hardware, protocols, neural networks, robotics, and AI agents, where failures can be costly and testing covers only selected executions. Current work combines automation and language models to reduce proof effort, but scalability and whether specifications faithfully capture intended behavior remain central challenges.

Latest papers 320

44 papers in the last four weeks, up 91% on the four weeks before. 0.3% of all new papers.

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  1. Synchronous Signal Temporal Logic for Decidable Verification of Cyber-Physical Systems

    Mar 26, 2026Partha Roop, Sobhan Chatterjee, Avinash Malik +2Signal Temporal LogicFormal Verification

  2. Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation

    Mar 26, 2026Zhuofan Zhang, Herbert WiklickyNeural Network VerificationFormal Verification

  3. Formal Semantics for Agentic Tool Protocols: A Process Calculus Approach

    Mar 25, 2026Andreas SchlapbachAgent Communication ProtocolsFormal Verification

  4. The SCAN Statistical Model Checker

    Mar 24, 2026Enrico Ghiorzi, Armando TacchellaFormal Verification

  5. Neuro-Symbolic Proof Generation for Scaling Systems Software Verification

    Mar 20, 2026Baoding He, Zenan Li, Wei Sun +4Automated Theorem ProvingFormal Verification

  6. Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification

    Mar 18, 2026Zenan Li, Ziran Yang, Deyuan He +7Formal VerificationAutomated Theorem Proving

  7. Formal verification of tree-based machine learning models for lateral spreading

    Mar 17, 2026Krishna KumarFormal Verification

  8. Not All Invariants Are Equal: Curating Training Data to Accelerate Program Verification with SLMs

    Mar 16, 2026Ido Pinto, Yizhak Yisrael Elboher, Haoze Wu +2Fine-TuningTraining Data Curation

  9. Lean Atlas: An Integrated Proof Environment for Scalable Human-AI Collaborative Formalization

    Mar 16, 2026Banri Yanahama, Akiyoshi SannaiFormal VerificationLean Theorem Proving

  10. s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs

    Mar 15, 2026Balaji Rao, John Harrison, Soonho Kong +2Automated Theorem ProvingFormal Verification

  11. Verification and Forward Invariance of Control Barrier Functions for Differential-Algebraic Systems

    Mar 13, 2026Hongchao Zhang, Mohamad H. Kazma, Meiyi Ma +2Control Barrier FunctionsDynamical Systems

  12. Neuro-Symbolic Generation and Validation of Memory-Aware Formal Function Specifications

    Mar 12, 2026Liao Zhang, Tong Chen, Xiwei Wu +4Formal VerificationAutoformalization

  13. FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification

    Mar 6, 2026Lily Jiaxin Wan, Chia-Tung Ho, Yunsheng Bai +4Formal VerificationFormal Hardware Verification

  14. LTLGuard: Formalizing LTL Specifications with Compact Language Models and Lightweight Symbolic Reasoning

    Mar 5, 2026Medina Andresel, Cristinel Mateis, Dejan Nickovic +3AutoformalizationLinear Temporal Logic

  15. Agentic AI-based Coverage Closure for Formal Verification

    Mar 3, 2026Sivaram Pothireddypalli, Ashish Raman, Deepak Narayan Gadde +1Formal Hardware VerificationFormal Verification

  16. Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments

    Feb 27, 2026Florent DelgrangeWorld ModelsAI Agent Reliability

  17. MPBMC: Multi-Property Bounded Model Checking with GNN-guided Clustering

    Feb 26, 2026Soumik Guha Roy, Sumana Ghosh, Ansuman Banerjee +2Formal VerificationFormal Hardware Verification