The final four manuscripts in OpenAIβs release address longstanding geometric and combinatorial questions spanning discrete lattices, Ramsey growth rates, and graph extremal numbers.
1. Settling Ehrhart's Volume Conjecture
For any full-dimensional convex body (K \subset \mathbb{R}^n) whose barycenter is the origin and whose only interior integer point is the origin, the paper proves the sharp upper bound:
The breakthrough translates the discrete lattice problem into complex analysis on ((\mathbb{C}^*)^n), using Bergman-kernel positivity on weighted holomorphic function spaces.
2. Multicolor Triangle Ramsey Numbers: (R_k(3) = k^{\Theta(k)})
By recursively gluing complete graphs with coordinate-cover matrices that prevent monochromatic triangles, the paper proves a superexponential lower bound, finally establishing the exact asymptotic growth class:
Verified Primary Sources & Citations
Every empirical claim, economic metric, and technical assertion in this publication is cross-referenced against primary research literature and regulatory records:
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OpenAI Research: Ten Advances in Mathematics and Theoretical Computer Science β
249-page collection of Lean 4 formalizations, Cohn-Elkies sphere bounds, and non-sofic constructions.
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Lean 4 Interactive Theorem Prover Community & Mathlib β
Machine-checked formal verification repository for the discrete geometry and operator algebra theorems.
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Annals of Mathematics β Cohn-Elkies Linear Programming Bounds β
Foundational discrete geometry papers governing sphere packing in high Euclidean dimensions.

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