What was already known
The construction starts from a classical Choi–Lam quartic and addresses the stationary, non-positive-semidefinite-Hessian question in Cartis–Zhu, Remark 2.3. The quadratic and cubic data stay fixed while the regularization strength varies.
AI involvement
The disclosed Codex agents developed the construction, proof and rational witness. GPT-6 Pro supplied the unique nondegenerate-minimizer construction, which Codex checked and formalized. JD Jones is the human maintainer; a human-free research run is not documented.
Importance
Provides explicit exact counterexamples and quantitative separation, including a nondegenerate unique-minimizer variant.
Limitations
The stationary origin has negative-definite Hessian; the positive-definite Hessian is at the unique minimizer in the companion construction. No optimal SOS value, minimal dimension, higher hierarchy result or worldwide priority is claimed. Separate agent-written Python checkers are not outside human review.
Technical verification
Palomar reports checking 35 selected contracts for the literal polynomials, minimum, ordinary SOS exclusion, quantitative gap and companion Hessian result, with Lean and independent kernel replay.
Formal checking
Palomar reports checking 35 selected contracts for the literal polynomials, minimum, ordinary SOS exclusion, quantitative gap and companion Hessian result, with Lean and independent kernel replay.
- Checker
- Palomar: Lean, NanoDa and con-ron
- Scope
- Literal fourteen-variable rational cubics; all σ,a,b>0; exact attained minimum, unrestricted polynomial SOS exclusion, quantitative gap and unique-minimizer positive Hessian; 35 selected contracts.
- Basis
- Reported by the linked checker
- Check date
- 2026-10-18
Checking a formal statement does not establish that it matches the original problem.
Human understanding
Few is the default when evidence for a higher level is insufficient. Automated reviews and exact checks are described, but no named human explanation of the central construction is documented. Few is an evidence default.
Correction and publication history
Added this sourced contribution with its stated scope, AI attribution, checking evidence and research limits.
Read this published revision