arXiv:2611.07073v1 Announce Type: new Abstract: A verified Dafny postcondition certifies that a formula holds, but it does not guarantee that the result was reached through genuine independent reasoning. We introduce a cross-agent formalization protocol where a Specifier model translates clinical trial criteria into a Dafny predicate, and an Implementer model writes an operational method checked against it. A same-model control establishes that even with no capability gap, independent re-extraction from identical text agrees only 59.3% of the time.
Artificial Intelligence · 2026-11-06
When Verification Is Not Agreement: Cross-Agent LLM-to-Dafny Formalization
arXiv:2611.07073v1 Announce Type: new Abstract: A verified Dafny postcondition certifies that a formula holds, but it does not guarantee that the result was reached through genuine independent reasoning. We introduce a cross-agent formalization protocol where a Specifier model translates clinical trial criteria into a Dafny predicate, and an Implementer model writes an operational method checked against it.
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