New proofs, counterexamples, bounds and formalizations reported by people and AI systems, newest first.

Reported developments, attributed to their sources. Inclusion is not an OpenMath assessment; evidence slots show what each source reports. Updated Oct 13, 2026.

October 2026 20

Improved boundLogicopenai/math #240

Shelah eventual categoricity

Proves Shelah's eventual categoricity conjecture in ZFC: for each bound on the Löwenheim–Skolem number, a uniform threshold makes categoricity of an abstract elementary class in one cardinal above that threshold imply categoricity throughout the same tail. Categoricity means uniqueness up to isomorphism at a given cardinality. Under the continuum hypothesis, a proposed specific Hanf threshold need not suffice.

Unreleased OpenAI model
LFCR
Improved boundTheoretical computer scienceopenai/math #107

Matrix multiplication exponent 9/4

Proves ω≤9/4\omega\le9/4 over ℂ, giving Oε(n9/4+ε)O_\varepsilon(n^{9/4+\varepsilon}) arithmetic operations for square matrix multiplication. In characteristic zero, some inner dimension na with a > 0.465 permits n2+o(1)n^{2+o(1)} rectangular multiplication. Further square bounds give ω < 2.258 outside finitely many positive characteristics and ω < 2.371054886006746 over every fixed field.

Unreleased OpenAI model
LFCR
Improved boundTheoretical computer scienceopenai/math #103

Logspace derandomization

Proves L=RL=BPL\mathsf L=\mathsf{RL}=\mathsf{BPL}, resolving derandomization for bounded-error logarithmic-space computation. An effective compiler converts each randomized polynomial-time logarithmic-space machine deciding a language with one-sided or two-sided error into a deterministic logarithmic-space decider with explicit polynomial running-time bounds.

Unreleased OpenAI model
LFCR
Improved boundPDE and mathematical physicsopenai/math #366

The planar Mumford–Shah regularity conjecture and local weak-L4 gradient bounds

Resolves the interior regularity conjecture for reduced absolute planar Mumford–Shah minimizers with bounded fidelity data. Locally, the closed discontinuity set is a C1,αC^{1,\alpha} arc, a regular crack tip, or three arcs meeting at 120∘120^\circ; only finitely many global connected components meet any compact interior region.

Unreleased OpenAI model
LFCR
Improved boundGeometry and topologyopenai/math #350

Yau’s nodal bounds: surfaces and higher dimensions

Proves the sharp CλC\sqrt\lambda upper bound for nodal length on every fixed smooth closed surface, completing Yau's conjecture there. The upper bound fails for fixed smooth metrics in dimensions three and four, including metrics on S3 arbitrarily close to round. In dimension five, nodal measure can grow faster than λ1/2+ε0\lambda^{1/2+\varepsilon_0} for some fixed ε0>0\varepsilon_0\gt 0, ruling out even arbitrarily small power losses.

Unreleased OpenAI model
LFCR
Improved boundGeometry and topologyopenai/math #346

Sharp singular-set bounds for stationary integral varifolds

Proves that every stationary integral m-varifold in a Euclidean open set has singular set of Hausdorff dimension at most m−1m-1, a sharp bound in every positive dimension and codimension. On round spheres, the family also proves almost-everywhere regularity: the singular set has zero m-dimensional Hausdorff measure.

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LFCR
Improved boundGeometry and topologyopenai/math #335

Gromov’s integral scalar-curvature bound for simplicial volume

Proves ∫M(Scalg−)n/2 dVg≥an∥M∥\int_M(\mathrm{Scal}_g^-)^{n/2}\,dV_g\ge a_n\lVert M\rVert for every closed connected oriented smooth n-manifold, n ≥ 3, and every smooth metric, with an>0a_n\gt 0 depending only on dimension. Here Scalg−=max⁡{0,−Scalg}\mathrm{Scal}_g^-=\max\{0,-\mathrm{Scal}_g\} and ∥M∥\lVert M\rVert is real simplicial volume. Also proves rational inessentiality under positive scalar curvature, resolving the Gromov–Lawson conjecture; every nonnegative-scalar-curvature metric on a closed aspherical manifold is flat.

Unreleased OpenAI model
LFCR
Improved boundPDE and mathematical physicsopenai/math #270

Threshold and positive-energy bound states of the BFSS matrix model

Proves that the undeformed relative SU(N)\mathrm{SU}(N) BFSS model has exactly one normalizable zero-energy state for every finite N ≥ 2, resolving the threshold-bound-state conjecture. For SU(2)\mathrm{SU}(2), a companion proves infinitely many normalizable positive-energy eigenstates with unbounded energies, contradicting the original BFSS paper's exclusion of additional bound states at N = 2.

Unreleased OpenAI model
LFCR
Improved boundCombinatoricsopenai/math #176

The second Kahn–Kalai conjecture with an edge-count bound

Proves the second Kahn–Kalai conjecture: for every finite simple graph H with h ≥ 1 edges and at most n vertices, its appearance threshold in G(n,p)G(n,p) is at most CpE(n,H)(1+log⁡2h)C p_{\mathrm E}(n,H)(1+\log_2 h), with universal C. Here pEp_{\mathrm E} is the least density at which every subgraph of H has expected copy count at least 1/2.

Unreleased OpenAI model
LFCR
Improved boundCombinatoricsopenai/math #167

Planar distinct distances and unit-distance bounds

Proves the weak pinned Erdős distance conjecture: for every fixed ε > 0, all but o(n)o(n) points of any n-point planar set determine at least n1−εn^{1-\varepsilon} distinct nonzero distances. A complementary theorem bounds the number of unit-distance pairs by O(n4/3−δ)O(n^{4/3-\delta}) for an absolute δ > 0.

Unreleased OpenAI model
LFCR
Improved boundCombinatoricsopenai/math #159

Erdős’s reciprocal-sum conjecture and quasipolynomial Szemerédi bounds

Proves Erdős's conjecture that every set of positive integers with divergent reciprocal sum contains arithmetic progressions of every finite length. Quantitatively, for each fixed k ≥ 3, every subset of {1,…,N}\{1,\ldots,N\} with no nonconstant k-term progression has size at most CkNexp⁡[−ck(log⁡N)εk]C_kN\exp[-c_k(\log N)^{\varepsilon_k}], with positive constants depending only on k.

Unreleased OpenAI model
LFCR
Improved boundTheoretical computer scienceopenai/math #140

Memory–sample lower bounds for noiseless Gaussian regression

For fixed A > 0, a one-pass learner with Ad2Ad^2 persistent bits needs ΩA(dlog⁡(1/ϵ))\Omega_A(d\log(1/\epsilon)) noiseless Gaussian samples to recover a unit vector to angular error 0<ϵ≤1/100\lt \epsilon\le1/10 with probability 2/3, uniformly in accuracy for large d. Computation and randomized updates are unrestricted, but output uses only the terminal state, stopping index and fresh randomness.

Unreleased OpenAI model
LFCR
Improved boundTheoretical computer scienceopenai/math #135

Homogeneous depth-five lower bounds for iterated matrix multiplication

Over every characteristic-zero field, the (1,1)(1,1) entry of a product of n independent n×nn\times n variable matrices requires nΘ(n)n^{\Theta(\sqrt n)} gates in homogeneous depth-five sum–product circuits. This sharp bound allows shared gates and bottom linear forms involving all variables.

Unreleased OpenAI model
LFCR
Improved boundTheoretical computer scienceopenai/math #122

Quantitative trace-reconstruction bounds with a uniform decoder

At every fixed deletion probability in (0,1)(0,1), reconstructing an arbitrary length-n binary string requires nΩ(log⁡log⁡n)n^{\Omega(\log\log n)} independent traces, ruling out polynomial-sample reconstruction. A uniform decoder achieves quasipolynomial sample and running-time bounds for known fixed rational retention probabilities. When the deletion probability is at most n−εn^{-\varepsilon} for fixed ε > 0, both bounds become polynomial in the input and parameter encoding.

Unreleased OpenAI model
LFCR
Improved boundTheoretical computer scienceopenai/math #108

A cubic permanent–determinant lower bound

Proves an Ω(n3)\Omega(n^3) lower bound for the border determinantal complexity of the n×nn\times n permanent over ℂ. Even coefficientwise limits of determinants of affine-linear matrices require matrix size at least cn3cn^3, for an absolute c > 0 and all sufficiently large n; the same bound therefore holds for exact representations.

Unreleased OpenAI model
LFCR
Improved boundGeometry and topologyopenai/math #097

The Euclidean Steinitz–Bergström bound

Proves that any finite sequence in the Euclidean unit ball of ℝd admits signs keeping every partial sum within CdC\sqrt d, independently of length. Consequently every zero-sum family can be reordered with the same bound on unsigned partial sums. A matching lower bound gives the optimal order S2(d)=Θ(d)S_2(d)=\Theta(\sqrt d).

Unreleased OpenAI model
LFCR
Improved boundAnalysisopenai/math #086

An L3 bound for the trilinear Hilbert transform

Proves that the principal-value trilinear Hilbert transform with shifts x−tx-t, x−2tx-2t, x−3tx-3t is bounded from L3(R)3L^3(\mathbb R)^3 to L1(R)L^1(\mathbb R). This resolves the L3 exponent case of the standard conjecture for slopes 1, 2, 3.

Unreleased OpenAI model
LFCR
Improved boundAnalysisopenai/math #082

Annular variation and dyadic absolute bounds for the triangular Hilbert transform

Proves maximal and annular r-variation bounds, for every r > 2, from complex L3(R2)×L3(R2)L^3(\mathbb R^2)\times L^3(\mathbb R^2) to L3/2(R2)L^{3/2}(\mathbb R^2). The maximal estimate controls both hard truncation endpoints and gives almost-everywhere and norm convergence. Pairing with a third input settles the triangular Hilbert transform estimate at the symmetric L3×L3×L3L^3\times L^3\times L^3 point.

Unreleased OpenAI model
LFCR
Improved boundNumber theoryopenai/math #021

A quadratic bound for Jacobsthal’s function

Answers Jacobsthal's quadratic-bound question: every interval of Ck2Ck^2 consecutive integers contains an integer coprime to any prescribed positive integer with at most k distinct prime divisors, for an absolute constant C. The bound is uniform over prime sets and interval positions and removes the classical logarithmic loss.

Unreleased OpenAI model
LFCR

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July 2026 2