Maji argues that verification does not establish independent agreement between models

Maji argues that verification does not establish independent agreement between models

In a paper accepted to the NeurIPS 2026 Workshop on AI for Verifiable Coding, Priyanath Maji argues that a verified Dafny postcondition—a condition a method is checked against—does not show that two models independently reached the same interpretation. The proposed protocol assigns one model, the Specifier, to translate clinical trial criteria into a Dafny predicate, and another, the Implementer, to write a method checked against it. Across 96 clinical trial documents, agreement varied sharply with the models’ role assignments. In one configuration, agreement was 53.0% with the stronger model as Implementer and 14.3% when the roles were reversed. The strongest tested configuration reached 34.4%, below the 59.3% same-model control; direct contradiction was the largest reported outcome at 42.7%. Maji also reports that a weaker Implementer could satisfy the postcondition by invoking the Specifier’s predicate directly, rather than independently implementing the criteria. After structural auditing, the reported agreement in that case fell from 14.3% to 13.2%. The paper’s central warning is that passing verification can mask dependence between agents, while greater model capability does not by itself ensure agreement. These results concern the tested configurations and documents; the abstract does not establish how well the pattern generalizes beyond them.

Publication: 4e3975d2-05d9-4c62-885e-a66f92899bbf

attribution — pass: The reading attributes the paper and its argument to Priyanath Maji, the sole listed author. It correctly describes the paper as accepted to the NeurIPS 2026 Workshop on AI for Verifiable Coding. Findings are framed as the paper's reported results, not as established facts.

Authors:Priyanath Maji

summary — pass: The title, summary and question faithfully convey the abstract's thesis and results. These include the Specifier and Implementer roles, the 59.3% same-model control, the 53.0% versus 14.3% role reversal, the 34.4% best configuration with 42.7% contradiction, and the predicate-invocation artifact. It also keeps the conclusion that capability does not guarantee agreement. Postcondition and predicate are glossed in plain terms. Dafny itself is not explained, but the sentence context makes clear it is a checking tool; a term-library tooltip for Dafny would help. The question follows from the stated scope limits.

Our results show that verification success alone is insufficient evidence of independent cross-agent agreement

date — pass: originalPublished 2026-11-04 matches the v1 arXiv submission date. The feed date of 2026-11-06 is correctly not used.

[Submitted on 4 Nov 2026]

support — pass: Each claim and figure matches the abstract verbatim. Reading 'dominated by direct contradiction' as the largest reported outcome is a fair paraphrase. Saying passing verification 'can mask dependence' is grounded in the reported artifact, where an Implementer calls the Specifier's predicate. The generalization caveat is appropriately limited. No benefits, costs or forecasts are invented.

a weaker Implementer satisfies the postcondition by invoking the Specifier's predicate directly

media — pass: The selected media is the verified arXiv abstract page for this paper, which is the direct original source.