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Joe Stubbs

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#artificial intelligence Preprint Oct 2026

Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning

We introduce Sequent-Prover, a family of verifier-using language-model agents, and the post-training framework that produces them. Agents reason in an executable SMT-LIB scratchpad: they write complete SMT-LIB programs, query Z3 across turns, inspect solver feedback, repair formalizations, and terminate with an explici...

Debargha Ganguly, Wei-Cong Chen, Mohsen Hariri et al. · 3 citations
#artificial intelligence Preprint Oct 2026

AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness

Proof auto-formalization translates natural-language (NL) theorems and proofs into a formal language (FL) such as Lean, enabling mechanical verification. Despite rapid progress, research-level proofs often depend on concepts missing from leading proof assistant libraries (e.g., Lean's Mathlib), and successful compilati...

Prithwish Jana, Việt Bách Hoàng, Logan Luna et al. · 0 citations
Book Open access Jul 2026

From HPC to Edge: A Web-Based Workflow for AI Model Testing and Deployment

An integrated management framework powered by Tapis is shown how a unified UI-driven workflow streamlines the transition from initial evaluation to deployment, ensuring operational consistency and reproducibility without manual script porting.

Manikya Swathi Vallabhajosyula, Gautam Gururaj Molakalmuru, Samuel Khuvis et al. · 0 citations

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