What was already known
Nelson and Nguyen conjectured optimal row and sparsity scales. Earlier work addressed parts of the question under different constructions.
AI involvement
Diar Heidary directed the project. ChatGPT 5.6 Sol and Claude Fable 5 proposed and challenged mathematical arguments used in the retained proof; Heidary reviewed the final report.
The disclosed model collaboration proposed mathematical arguments throughout the retained proof, while Heidary led the project and selected its scope.
Importance
Achieves the target scales for this explicitly defined independent SparseStack law.
Limitations
The theorem is for a fixed matrix and the stated independent distribution, not every OSNAP law. A short-seed sampler and the paper’s separate refinement are outside the selected Lean result; independent human referee review is undocumented.
Technical verification
The source reports complete Lean proofs of the fixed-matrix theorem and the two scoped extensions, with no uninstantiated analytic hypotheses; kernel replay and axiom audit are reported. Human author review is not counted as a completed proof check.
Formal checking
The source reports complete Lean proofs of the fixed-matrix theorem and the two scoped extensions, with no uninstantiated analytic hypotheses; kernel replay and axiom audit are reported. Human author review is not counted as a completed proof check.
- Checker
- Lean 4 kernel, Palomar Comparator and NanoDa
- Scope
- Fully independent SparseStack fixed-matrix theorem and selected exact-s and 4q combined-selector transfer declarations
- Basis
- Reported by the linked checker
Checking a formal statement does not establish that it matches the original problem.
Human understanding
Heidary's technical report explains the retained fixed-matrix mechanism from convex-order transfer through moment bounds and rounding; author review is documented, although independent review is absent.
Correction and publication history
Achieves the target scales for this explicitly defined independent SparseStack law.
Read this published revision