What was already known
For three vertices, descent algorithms and a Markov-polynomial criterion already decide mutation-acyclicity. Earlier higher-rank work supplies necessary conditions and special classes. The new alternating family shows that no fixed finite polynomial-sign criterion can extend this rank-three approach to .
AI involvement
The authors explicitly credit GPT-Astra with discovering the family and the main results after extensive prompting. The human team generalized the results, simplified the proofs and organized the exposition. This supports AI-centered work for the alternating family and its polynomial-sign obstruction.
- Armstrong-Williams, Hirst, Jackson and Lee: mutation-acyclicity in rank four — Introduction, Theorem 1.2, Section 3 and Use of AI
Importance
Gives a concrete barrier to a natural algebraic classification method beyond rank three. It rules out fixed polynomial-sign criteria, while leaving arithmetic tests, general mutation invariants and input-dependent algorithms available.
Technical verification
The manuscript gives a proof through the alternating integer family and eventual constancy of polynomial signs. The pinned artifact reports successful exact-arithmetic checks of 300 claims and the finite census, but its clean Lean audit completed only 135 of 573 modules. The Lean obstruction covers rational coefficients in rank four; real coefficients, higher ranks and connected extensions use separate manuscript arguments. These records support Partial, not a completed check of the entire assessed claim.
Independent checking
The manuscript gives a proof through the alternating integer family and eventual constancy of polynomial signs. The pinned artifact reports successful exact-arithmetic checks of 300 claims and the finite census, but its clean Lean audit completed only 135 of 573 modules. The Lean obstruction covers rational coefficients in rank four; real coefficients, higher ranks and connected extensions use separate manuscript arguments. These records support Partial, not a completed check of the entire assessed claim.
- Checker
- Reported CPython audit of the author-supplied exact checking package
- Scope
- Exact delegated claims and finite census, with narrower formal targets and an incomplete clean Lean build.
- Basis
- Reported by the linked checker
- Exact checks, retained Lean scope and incomplete clean build — Introduction, Theorem 1.2, Section 3 and Use of AI
Human understanding
The authors explain the central mechanism: mutation-acyclicity alternates along the positive integers in an affine family, while each fixed polynomial restricted to that line has eventually constant sign. A path attachment carries the obstruction to connected higher-rank quivers. Their discussion distinguishes this obstruction from the separate rank-four decision algorithm and preserves the earlier human criteria.
Correction and publication history
Newly reviewed model-origin alternating family and its scoped obstruction to polynomial-sign criteria.
Read this published revision