Generically stable Keisler measures

Gabriel Conant, Kyle Gannon, James E. Hanson

For Borel-definable global Keisler measures over a model of a discrete first-order theory, the authors prove the reverse implications: self-averaging gives a definable measure whose canonical random extension is generically stable, which in turn gives a frequency interpretation measure. Together with earlier forward implications, these yield equivalence.

Sources for this record

What was already known

The authors had proved the forward implications but lacked the two reverse directions for arbitrary measures.

AI involvement AI-led

ChatGPT 5.5 first supplied proofs of the discrete reverse implications; Kimi K3 and Claude Fable 5 supplied independent arguments. Conant, Gannon and Hanson substantially reorganized and explained the final proofs.

Models supplied the first discrete reverse proofs; the human authors substantially reworked them.

Importance Notable

The reverse implications complete the discrete characterization of generic stability for these measures.

Limitations

The v2 paper also treats continuous logic and Morley-product closure; those are outside this AI-origin claim. No completed human or formal check of the reverse proofs is documented.

Technical verification Reported

The paper contains arguments, but no completed human or machine check of these reverse implications is documented.

Human understanding Full

The authors explain the coding and convex-dynamics steps of the reverse proofs.

Correction and publication history

2026-10-18 · publication

The discrete reverse implications are the documented AI-origin contribution; later continuous-logic and Morley-product results retain separate credit.

Read this published revision