activity
20062026
most citedFormalization, Mechanization and Automation of Gödel's Proof of God's Existence

40 citations · 211 across the 45 of their papers we have counts for

collaborators

51 papers

cs.AI2026

Mathematical Proof Assistants for Teaching Logic: The LogiKEy Methodology

Christoph Benzmüller, David Fuenmayor, Luca Pasetto

We report on an approach to teaching logic to mixed groups of computer science, mathematics, and philosophy students, based on the logico-pluralistic LogiKEy methodology, used for…

cs.LO2026

Proofs Without Nominals: Gödel's Ontological Argument, its Shallow Embedding, and the Open Questions of the Monatshefte Notes

Christoph Benzmüller

The shallow embedding of higher-order modal logic in classical higher-order logic, used in Benzmüller and Scott's Notes on Gödel's and Scott's variants of the ontological argument,…

cs.LO2026

Gödel's and Scott's Variants of the Ontological Argument in Lean 4 and TPTP THF

Christoph Benzmüller

The Isabelle/HOL dataset of Benzmüller and Scott's study of Gödel's ontological argument and Scott's variant (Monatshefte für Mathematik, 2025) is carried to Lean 4 and from there…

math.LO2026

A Comment on Modal Collapse and Ultrafilters in Gödel's Ontological Argument

Christoph Benzmüller

Gödel's ontological argument is modal by design. Possibility and necessity are among its central concerns, and connected interpretation decisions -- extensions or intensions for th…

cs.AI2026

First-Order Modal Logic in HOL: Deep and Shallow Embeddings with Automated Faithfulness (Extended Preprint)

Christoph Benzmüller, Daniel Kirchner

We extend, in Isabelle/HOL, the deep-and-shallow embedding methodology of our prior work from propositional to first-order modal logic (FML) with constant-domain Kripke semantics.…

cs.AI2026★ 1 cited

Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint)

Paul Sigloch, Christoph Benzmüller

LLMs deployed in high-stakes domains face fundamental reliability challenges: hallucinations, inconsistencies, and privacy vulnerabilities introduce unacceptable risks where errors…