Benchmarking Problem-Solving: Meta-Mathematical Limits, Not Novel Discoveries — E8 Intelligence Research
FINDING: The search results are meta-mathematical — they concern the *measurement* and *benchmarking* of problem-solving ability (MATH dataset, adversarial robustness competitions) rather than a specific unsolved competition problem. The only concrete "unsolved" reference is trivial (tic-tac-toe is solved; the draw is optimal). No novel mathematical discovery is present. MATH: - No new equations, constants, or ratios emerge. - The MATH dataset (Hendrycks et al.) contains 12,500 problems across 7 subjects (algebra, counting, geometry, etc.) — a combinatorial structure, not a mathematical law. - The adversarial competition paper references robustness metrics — again, no intrinsic constants. CONNECTION: - No direct geometric harmony (0.382, 0.618, 0.786, 1.618, 2.618) appears. - Implicitly, the *structure* of competition problems often encodes symmetry (e.g., geometric problems with crystallographic or root-system symmetries), but the abstracts do not state such. - The t Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Authors
- Andrew Stewart Caldin
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-15
- DOI
- https://doi.org/10.5281/zenodo.23385342
- Primary Topic
- Mathematics Education and Pedagogy
- Type
- preprint