Theoretical computer science

AI contributions across algorithms and computation, logic and formal proof, and optimization in the catalog, including their connections to mathematics.

Broad topics 4

Curated contributions 226

Understand the topics ↓

Contribution counts by ratings

AI involvement:
AI-centered75AI-led132AI-autonomous19
Importance:
Modest14Notable147Major65
Technical verification:
Reported51Partial32Formal143
Human understanding:
Few115Partial6Explained105
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FlashProve: an open-source library for provable inference

Roy Rinberg, Alex Allain, Alessandro Chiesa, Miranda Christ, Rahul Dalal, Giacomo Fenzi, Ben Mayer, Guy Weissenberg

FlashProve combines a hiding weight commitment with a succinct cryptographic proof of integer-model inference for Llama 4 Maverick. For a batch of 24 requests with 1,024-token contexts, the authors report about 223 seconds on one H100 GPU and 24 CPU cores, with one selected token checked per request and an 18.78 MB proof for each request. The approximately 110 tokens/second figure counts processed context tokens; checking every token instead gives about 39.1 checked tokens/second in their experiment.

AI involvementAI-centered
ImportanceNotable
Technical verificationPartial
Human understandingFew

Researcher-∈−the\in -the-Loop Evolutionary Discovery of Entanglement-Assisted Quantum Code Families

Jae-Hyun Baek, Byung-Sun Won, Jon-Lark Kim

Under researcher-defined targets and an exact evaluator, AlphaEvolve evolved programs that produced finite entanglement-assisted stabilizer quantum codes. One binary code has parameters [[12,1,11;8]], raising the listed distance from 9 to 11 at the same length, encoded-qubit count and entanglement cost. Researchers then identified a pattern, generalized it and proved a separate prime-power family; the family and entanglement lifting together close 54 gaps in the archived tables.

AI involvementAI-centered
ImportanceNotable
Human understandingExplained

Sharp reset thresholds for bounded-response synchronization games with a sink

Ben Keene

For n≥2n\ge 2 and k≥1k\ge 1 with k=1k=1 or n≤k+3n\le k+3, the largest shortest-reset-word length among n-state AkA_{k} automata with a fixed sink is M(n,k)=∑i=1n−1⌈i/k⌉M(n,k)=\sum_{i=1}^{n-1}\lceil i/k\rceil. Alice chooses one letter per round and Bob replies with fewer than k letters, including the empty word; AkA_{k} means Alice can force a reset. In particular M(k+2,k)=k+2M(k+2,k)=k+2 and M(k+3,k)=k+4M(k+3,k)=k+4 for k≥2k\ge 2, and M(5,2)=6M(5,2)=6.

AI involvementAI-led
ImportanceModest
Technical verificationFormal (Lean)
Human understandingFew

Group constructions cannot refute the Set Cover Conjecture, including tensor powers

For k≥2k\ge 2 and m≥1m\ge 1, a Strassen combinatorial degeneration of a finite group tensor onto the mth tensor power of the balanced tripartitioning tensor TkT_{k} requires ∣G∣≥(3k⌊3k/2⌋)m>τkm|G|\ge\binom{3k}{\lfloor 3k/2\rfloor}^{m}>\tau_k^m, where τk=8k(3kk)(2kk)27k\tau_k=\frac{8^k\binom{3k}{k}\binom{2k}{k}}{27^k}. For single-copy group restrictions, ∣G∣≥23k−1|G|\ge 2^{3k-1}; the partition products factor through commuting elements even when G is nonabelian.

AI involvementAI-led
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingFew

Subexponential Deterministic Factoring

Isaac Rudich, Louis-Martin Rousseau

A single deterministic Turing machine outputs the smallest prime factor Nat.minFac N of every natural number N in binary. For each integer k≥1k\ge 1 there is a constant CkC_{k} such that its running time on every n−bitn-bit input is at most Ck⋅2⌊n/k⌋C_{k}\cdot 2^{\lfloor n/k\rfloor }; all stack alphabets are finite. Thus the stated deterministic running time is No(1)N^{o(1)}.

AI involvementAI-centered
ImportanceMajor
Technical verificationFormal (Lean 4)
Human understandingFew

Approximate Counting for Mixed p-Spin Glasses in Weak External Fields via Cluster Expansion

Qiang Wu

For SK and finite mixed Ising p-spin models with all interaction orders at least three, at a fixed margin below the second-moment threshold and homogeneous fields ∣h∣≤ρ0N−1/4|h|\le \rho _{0}N^{-1/4}, algorithms approximate log⁡ZN\log Z_{N} to additive error ε\varepsilon using a number of exact operations polynomial jointly in N, ε−1\varepsilon ^{-1} and δ−1\delta ^{-1}. Symmetric unit-variance disorder is allowed; failure is at most δ\delta plus an explicit disorder-tail term, which vanishes with a finite fourth moment.

AI involvementAI-centered
ImportanceNotable
Technical verificationFormal (human)
Human understandingExplained

A 2o(n)2^{o(n)} Time Algorithm for 3-SAT

Claude

One deterministic finite-alphabet Mathlib TM2 machine exactly counts the satisfying assignments of k−CNFk-CNF formulas with k≥1k\ge 1, m≥2m\ge 2 distinct clauses and n≥4n\ge 4 occurring variables in time 2O(min⁡{k2nlog⁡log⁡nlog⁡n,kmlog⁡m})2^{O\left(\min\left\{\frac{k^2n\log\log n}{\sqrt{\log n}},\frac{km}{\sqrt{\log m}}\right\}\right)}, with base-two logarithms and an absolute hidden constant. A separately formalized decision statement refutes ETH.

AI involvementAI-autonomous
ImportanceMajor
Technical verificationFormal (Lean 4)
Human understandingFew

The Euclidean algorithm is not optimal among uniform processes

Jason Davies

For every positive integer pair a≥ba\ge b, gcd⁡(a,b)\gcd (a,b) has a remainder-only derivation using at most (6+o(1))log⁡2(a)/log⁡2log⁡2(a)(6+o(1)) \log _{2}(a)/\log _{2}\log _{2}(a) remainder calls, uniformly in b. Previously computed values may be reused and the choice of operands is free. This refutes Moschovakis’s stated uniform-process lower-bound conjectures, not the Main Conjecture for algorithms.

AI involvementAI-autonomous
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingFew

Sum−ofSum-of-squares minimizers for a left-shift binary GCD algorithm

For each n≥2n\ge 2, among ordered positive integer inputs u≥v>0u\ge v>0 taking exactly n iterations of the Shallit–Sorenson left-shift binary GCD algorithm, u2+v2u^{2}+v^{2} has a unique minimum at (p[n−1],p[n−2])(p[n-1],p[n-2]). Here p[0]=1p[0]=1, p[1]=3p[1]=3, and p[j+2]=p[j+1]+p[j]p[j+2]=p[j+1]+p[j] for even j, or 2p[j+1]+p[j]2p[j+1]+p[j] for odd j.

AI involvementAI-led
ImportanceModest
Technical verificationFormal (Lean)
Human understandingFew

On the Accuracy of Approximate Leave-One−OutOne-Out with Blockwise Nonsmooth Regularization in High-dimensions

Honghao Lin, Songbin Liu, Arian Maleki, Vahab Mirrokni, Chen Shang, David P. Woodruff, Hanbo Yang, Wenjin Zhang

Under Assumptions 2.1–2.5, the expected average absolute loss discrepancy between exact leave-one−outone-out fits and each of the two restricted-fit approximations is O(log⁡3/2(en)n)O\left(\frac{\log^{3/2}(en)}{\sqrt n}\right). The setting has bounded block sizes, a fixed block partition, Gaussian design with covariance eigenvalues comparable to 1/p1/p, n/pn/p bounded above and below, positive deterministic ridge and penalty parameters, smooth convex loss, finite third score moments and the stated one-sided likelihood-curvature condition.

AI involvementAI-led
ImportanceNotable
Technical verificationFormal (human)
Human understandingExplained

Exact Storage-Repair-Bandwidth Tradeoffs for (6,5,5) and (7,6,6) Exact-Repair Regenerating Codes

Chao Tian

The manuscript gives converse bounds that completely characterize the storage/repair-bandwidth tradeoffs of exact-repair regenerating codes for (n,k,d)=(6,5,5)(n,k,d)=(6,5,5) and (7,6,6), without assuming linear codes. Previously known layered codes with space sharing attain the bounds.

AI involvementAI-led
ImportanceNotable
Technical verificationPartial
Human understandingExplained

Erdős Problem 111: bipartizing finite subgraphs of uncountably chromatic graphs

If a graph is not countably colorable, hG(n)/nh_{G}(n)/n tends to infinity, where hG(n)h_{G}(n) is the largest minimum number of edge deletions needed to make an n-vertex subgraph bipartite. Equivalently, a uniform linear deletion bound on all finite subgraphs forces countable colorability. The limit holds for the whole sequence, for graphs of any uncountable chromatic cardinality.

AI involvementAI-autonomous
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingFew

Persistent failure of Euclidean quartic SOS exactness

An explicit fixed rational cubic in 14 variables gives a quartically regularized polynomial whose exact minimum shift is nonnegative but not a ∑of\sum of polynomial squares for every positive regularization parameter. A second explicit cubic has a unique global minimizer with positive-definite Hessian there and retains a strict SOS gap for every positive parameter.

AI involvementAI-led
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingFew

A Limiting Satisfiability Threshold for Every Fixed Clause Size

OpenAI

For every fixed k≥3k\ge 3, random k−SATk-SAT with independent uniformly signed proper clauses sampled with replacement has a positive finite limiting density αk\alpha _{k}: satisfiability probability tends to one below αk\alpha _{k} and zero above it. The claim makes no assertion at αk\alpha _{k}.

AI involvementAI-led
ImportanceModest
Technical verificationFormal (Lean 4 with Mathlib)
Human understandingFew

Polynomial Hitting Lists for Noncommutative Rational Formulas

OpenAI

Given unary n and a size bound s, a deterministic machine constructs in polynomial bit time a polynomial-size list of rational matrix tuples of polynomial total output length and common polynomial dimension. Every admissible nonzero noncommutative rational formula over Q of size at most s has a defined, invertible evaluation on a listed tuple.

AI involvementAI-led
ImportanceNotable
Technical verificationFormal (Lean 4 with Mathlib)
Human understandingFew

AI-built Lean program triangulates simple polygons in linear time

For every closed simple polygon with n vertices, including collinear vertices and equal heights, an explicit exact-real-RAM program returns a conforming triangulation with n−2n-2 triangles in at most C(n+1)C(n+1) steps and natural words bounded by K(n+1)K(n+1). It is a variant of Chazelle’s algorithm that completes the visibility map directly below n=230+2n=2^{30}+2.

AI involvementAI-led
ImportanceNotable
Human understandingFew

AI-assisted proof gives sharp graph-matrix norm orders

For each fixed finite simple graph shape in the globally injective dense independent-sign model and fixed p>0p>0, the pth norm moment has matching upper and lower orders n(h+i0−s)/2log⁡(2n)b∗/2n^{(h+i_0-s)/2}\log(2n)^{b^*/2}, with h the role count, i0i_{0} isolated interior roles, s the minimum boundary-separator size and b⋅theb\cdot the largest attached floating-component count over minimum separators.

AI involvementAI-centered
ImportanceNotable
Human understandingFew

AI-assisted Walsh embedding reaches linear row scaling

For n=2kn=2^{k}, a fixed real orthonormal n×dn\times d frame, 0<ε<10<\varepsilon <1 and 0<δ<1/20<\delta <1/2, two independent sign rerandomizations of the normalized Walsh transform followed by uniform row sampling preserve all squared norms within ε\varepsilon with probability at least 1−δ1-\delta . The stated row count is min⁡(n,⌈8192(d+27⌈log⁡4(4d/δ)⌉3)ε2⌉)\min\left(n,\left\lceil\frac{8192(d+27\lceil\log_4(4d/\delta)\rceil^3)}{\varepsilon^2}\right\rceil\right), which is O(d/ε2)O(d/\varepsilon ^{2}) for fixed δ\delta .

AI involvementAI-centered
ImportanceNotable
Human understandingFew

AI-derived bounds for Mazur’s greedy drawing construction

For a well-formed Mazur edge, cycle, series and join scheme with n≥2n\ge 2 vertices and j nontrivial joins, the span satisfies T+1≤2j(n−2j)T+1\le 2^{j}(n-2j), with equality at (n,j)=(2,0)(n,j)=(2,0) or 2j+3≤n2j+3\le n. Its worst case is T=2(n/2)−1T=2^{(n/2)}-1 for even n and T=3⋅2(n−3)/2−1T=3\cdot2^{(n-3)/2}-1 for odd n. Companion theorems give interior dart mass ≤asbsT\le a_{s}b_{s}T, Dirichlet row norm ≤2(n−1)2T\le 2(n-1)^{2}T and∣det⁡M∣≤(2(n−1)2T)nand |\det M|\le (2(n-1)^{2}T)^{n}, bound the candidate products T2∣det⁡M∣T^{2}|\det M| and T3∣det⁡M∣T^{3}|\det M|, and prove z=adj⁡(M)uz=\operatorname{adj}(M)u with Mz=ΔuMz=\Delta u and boundary zs=Δhs(T−hs)z_{s}=\Delta h_{s}(T-h_{s}) when hs≤Th_{s}\le T, where Δ=det⁡M\Delta =\det M.

AI involvementAI-led
ImportanceModest
Human understandingFew

AI-developed proof improves the permanent-approximation base

For every nonnegative rational n×nn\times n matrix, Anari’s formal development constructs one rational-output algorithm and an absolute constant c<2c<\sqrt{2} with a two-sided cnc^{n} approximation guarantee for the permanent. It also proves deterministic polynomial time in the ordinary binary input size.

AI-generated certificate candidate for Dittert’s dimension-five inequality

A released AI-generated sum-of-squares and Lean candidate encodes Φ(A)≤1226/625−∣∣A−U5∣∣F2/625\Phi (A)\le 1226/625-||A-U_{5}||^{2}_{F}/625 for nonnegative 5×55\times 5 matrices whose entries ∑to\sum to five. If its encoding matches the original problem, it implies unique equality at U5U_{5}.

AI involvementAI-autonomous
ImportanceModest
Technical verificationPartial
Human understandingFew

A Four-Terminal Planar Lower Bound and a Sharp Equal-Cost Gadget for Cost-Preserving Unsplittable-Flow Rounding

Matthew Protti

Protti’s planar acyclic four-terminal instance needs upper overload at least 335 when the largest demand is 294 if cost cannot increase. A rational family gives a lower bound (299−4141)/32≈1.139747(299-41\sqrt{41})/32\approx 1.139747 for the unrestricted planar constant.

AI involvementAI-led
ImportanceNotable
Technical verificationPartial
Human understandingExplained

Non-Acceleration of the Heavy-Ball Method in 1D

Konstantinos Fotopoulos, Michael Helcig, Karl Deck, Jannis Alsbach

Two AI-generated heavy-ball counterexamples separate cycling regions for smooth strongly convex functions. Example 3.2 uses κ=4/5\kappa =4/5, β=17/20\beta =17/20 and Lγ=18/5L\gamma =18/5 to admit a primitive (K,m)=(5,2)(K,m)=(5,2) cycle while excluding all ordered m=1m=1 modes. Section 5 uses L=1L=1, (κ,β,γ)=(531/10000,4879/10000,32829/12500)(\kappa ,\beta ,\gamma )=(531/10000,4879/10000,32829/12500) and a ten-step mixture of modes 2 and 3 with weights 137/500 and 363/500: it supports a four-dimensional cycle but excludes every pure root-of-unity mode.

AI involvementAI-centered
ImportanceNotable
Technical verificationFormal (Lean + human)
Human understandingExplained

Formally Verified Autoresearch for Analyzing the Expressivity of Multi-Head Attention

Karthik Viswanathan, Plamen Dimitrov, Stefano Rocca, Sarayu Sirikonda

For the paper’s one-layer, attention-only transformer on Boolean inputs with a dedicated query token and linear threshold readout, the autonomous core results characterize head complexity by sums of admissible linear-fractional functions, bound it below by threshold degree, and determine it exactly for symmetric Boolean functions by the number of sign changes. In particular, n−bitn-bit parity requires exactly n heads.

AI involvementAI-autonomous
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingFew

The Exponential Time Hypothesis is False

OpenAI

For each fixed k≥2k\ge 2, one deterministic finite-tape machine exactly counts satisfying assignments of every canonically encoded k−CNFk-CNF formula on n variables. With encoding length L, its time is (L+1)Ok(1)2Ok(n(log⁡log⁡n)2/log⁡n)(L+1)^{O_k(1)}2^{O_k\left(n(\log\log n)^2/\sqrt{\log n}\right)} and its visited tape space is polynomial in L at every execution prefix. In particular, fixed-width 3-SAT has a subexponential-time decision algorithm.

AI involvementAI-led
ImportanceMajor
Technical verificationFormal (Lean)
Human understandingFew

Tight weighted paging with delay via mirror descent

Julian Born, Yann Disser, Linda Thelen

Born, Disser and Thelen give a randomized online algorithm for weighted paging with delay whose competitive ratio is O(log⁡k)O(\log k), matching the classical lower bound. A cache holds k of n pages with positive fetch costs; each request reveals its nondecreasing, continuous, unbounded delay-cost function when it arrives. The expected fetch-plus-delay cost is bounded relative to an optimal offline schedule, with an additive term depending on k and the page weights, not the requests.

AI involvementAI-centered
ImportanceNotable
Human understandingExplained

Anthropic reports: Claude reconstructs NIST elliptic-curve seed generation

Anthropic reports recovering a reproducible lrand48-and-timestamp recipe for all five NIST prime-curve seeds, five additional ANSI prime-curve seeds and four NIST binary-curve seeds. The reported timestamps and candidate indices regenerate each 160−bit160-bit public seed. The NIST B−163B-163 seed remains unexplained.

AI involvementAI-led
ImportanceNotable
Technical verificationPartial
Human understandingExplained

Revisiting Separators in String Graphs, Region Intersection Graphs, and Induced-Minor-Free Graphs

James Davies, Paweł Rzążewski, Jack Spalding-Jamieson, Bartosz Walczak

The AI-origin improvement in Appendix B gives non-expansive line embeddings with O(log⁡h)O(\log h) average distortion for the stated vertex-weighted metrics of connected graphs excluding the one-subdivision of KhK_{h} as an induced minor. The paper derives balanced separators of size O(hlog⁡hm)O(h \log h \sqrt{m}) for the corresponding m-edge graphs.

AI involvementAI-centered
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingExplained

AI-led proof gives a sharp global squared-law transport bound

For any real law with X2X^{2} in [A,B], A=3−6A=3-\sqrt{6} and B=3+6B=3+\sqrt{6}, let δ=3(E[X2])2−E[X4]\delta =3(E[X^{2}])^{2}-E[X^{4}] and let X0X_{0} be the four-node Gaussian quadrature law identified by zero deficit. For every feasible 0≤δ≤30+1260\le \delta \le 30+12\sqrt{6}, W1(L(X2),L(X02))≤δ/3W1(L(X^2),L(X_0^2))\le\sqrt{\delta/3}, using ordinary infimum-over-couplings Wasserstein distance. The bound is attained at every feasible deficit and does not require symmetry of X.

AI-led proof gives an optimal eighth-order MGF gap

For every symmetric law with X2X^{2} in [A,B], A=3−6A=3-\sqrt{6} and B=3+6B=3+\sqrt{6}, set v=E[X2]v=E[X^{2}] and h=E[(X2−A)(B−X2)]h=E[(X^{2}-A)(B-X^{2})]. For every real t, exp⁡(vt2/2)−Eexp⁡(tX)≥ht4/24+t8/25200\exp(vt^2/2)-\mathbb E\exp(tX)\ge ht^4/24+t^8/25200. Both coefficients are optimal for this two-term bound. A positive coefficient on the intrinsic fourth deficit 3v2−E[X4]3v^{2}-E[X^{4}] cannot be paired with the optimal eighth-order coefficient.

Discovering state-of−the−artof-the-art quantum circuits with large language models

Andi Gu, Alek H. Kemeny, Susanne F. Yelin, Mikhail D. Lukin

Gu, Kemeny, Yelin and Lukin report lower Toffoli and peak-qubit counts in seven specified circuit benchmarks, plus a new prime-field modular-inversion architecture. For fixed-point Gaussian evaluation, their stated benchmark falls from about 24,000 Toffolis and 362 qubits to 1,583 Toffolis and 139 qubits; the reported worst-case error is 9.99×10−89.99\times 10^{-8}.

AI involvementAI-autonomous
ImportanceNotable
Technical verificationPartial
Human understandingExplained

At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier

Marco Dos Santos, Vivek Veeriah, Alex Havrilla, Andrew Bolt, Goran Zuzic, Satinder Singh, Tom Zahavy

A Gemini agent pipeline discovered and formally proved closed systems of Collatz-like acceleration rules for eleven specified six-state, two-symbol Turing machines. Each system summarizes exact execution from its fixed blank-tape starting configuration; the machines’ eventual halting behavior remains unresolved.

AI involvementAI-autonomous
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingFew

Claude agents construct quasi-uniform digital nets in every dimension

For every s≥3s\ge 3, allowed base q and k≥1k\ge 1, the explicit N=q(sk)N=q^{(sk)} digital net has covering radius ≤s\le \sqrt{s} N(−1/s)N^{(-1/s)}; when q≥5a⋅s+4q\ge 5a\cdot _{s}+4 its point separation is≥(1−a⋅s/q)N(−1/s)is \ge (1-a\cdot _{s}/q)N^{(-1/s)}, with the stated bound on a⋅sa\cdot _{s}.

AI involvementAI-led
ImportanceNotable
Human understandingFew

Claude-assisted proof gives quantitative stability for optimal qubit cloning

For any finite-Kraus 1→2 qubit channel whose mean fidelity over the six Pauli eigenstates is at least 5/6−ε5/6-\varepsilon , the Kraus operators have total squared Frobenius distance at most 6ε6\varepsilon from the span of the two Bužek–Hillery Kraus operators. For every input matrix ρ\rho , the channel output is within 200ε∥ρ∥F200\sqrt{\varepsilon }\Vert \rho \Vert F of the Bužek–Hillery channel in Frobenius norm.

AI involvementAI-led
ImportanceModest
Technical verificationFormal (Lean)
Human understandingFew

GPT-assisted proof establishes the full last-gradient curve for smooth convex descent

For every N≥0N\ge 0 and h≥0h\ge 0, constant-step gradient descent xi+1=xi−(h/L)∇f(xi)x_{i+1}=x_{i}-(h/L)\nabla f(x_{i}) on a differentiable convex function with L-Lipschitz gradient in a real Hilbert space satisfies ∥∇f(xN)∥≤L∥x0−x∗∥max⁡{1/(1+Nh),∣1−h∣N}\lVert\nabla f(xN)\rVert\le L\lVert x0-x^*\rVert\max\{1/(1+Nh),|1-h|^N\}. One-dimensional Huber and quadratic examples attain the two branches. The compared Lean contract also classifies sampled equality trajectories and proves the same sharp factor for the terminal residual of relaxed proximal minimization with actual minimizers.

AI involvementAI-centered
ImportanceNotable
Human understandingFew

GPT-assisted proof finds exact robust gaps for finite chiral chains

For a finite open chain with positive strong-bond lower bounds βi\beta _{i}, boundary parameter s≥0s\ge 0 and weak-to-strong ratios qi∈[ℓi,ρi]q_{i}\in [\ell _{i},\rho _{i}], the minimum scalar squared gap minq λmin⁡(DβQ(q)TQ(q)Dβ)\lambda \min (D\beta Q(q)^{T}Q(q)D\beta ) is positive and equals the minimum over the ordered one-switch endpoint vectors q(k)q^{(^{k})}, with lower endpoints before k and upper endpoints after k. The same value sharply bounds the squared nonzero gap for arbitrary finite-dimensional complex matrix channels satisfying the stated singular-value constraints.

AI involvementAI-led
ImportanceNotable
Human understandingFew

Explicit circuits for the Walsh–Hadamard transform below the textbook operation count

Jacob Sussman

For every commutative ring R and every k≥0k\ge 0, the exact, unscaled Walsh–Hadamard transform on N=2kN=2^{k} inputs has a straight-line circuit with at most (3/4) N log⁡2\log _{2} N+N/4N + N/4 lines. Each line creates u+c⋅vu+c\cdot v or c⋅v−uc\cdot v-u from available values, with a fixed ring constant c, and costs one. Reuse, output selection and permutations are free.

AI involvementAI-centered
ImportanceModest
Technical verificationFormal (Lean)
Human understandingFew

GPT-assisted proof finds the sharp robustness radius for a four-row permanent inequality

For a balanced probability law ν\nu on the 24 permutations of four labels at total-variation distance at most r≤1/24r\le 1/24 from uniform, and nonnegative rows fif_{i} normalized by the uniform mean of fi2f_{i}^{2} equal to one, 1−Eν∏ifi(σ(i))≥1−24r9∑iVar⁡(fi)1-\mathbb E_{\nu}\prod_i f_i(\sigma(i))\ge\frac{1-24r}{9}\sum_i\operatorname{Var}(f_i). The coefficient is sharp at each radius and 1/24 is the exact admissible radius.

AI involvementAI-led
ImportanceNotable
Human understandingFew

Navot: AI-assisted extensions of the 9/4 matrix multiplication bound to fields and rings

Navot’s AI-assisted Lean developments extend OpenAI’s matrix multiplication exponent bound ω≤9/4\omega \le 9/4 from complex numbers to every field, including finite fields and positive characteristic, and subsequently to every associative unital ring, including noncommutative rings. The ring development establishes exact integer coefficient tensor-rank identities and, for every ε>0\varepsilon > 0, correct division-free arithmetic programs with cost at most C n(9/4+ε)n^{(9/4 + \varepsilon )} at every positive matrix size, for one C independent of n. Palomar registered the field development on 8 October and the ring development on 11 October 2026.

AI involvementAI-centered
ImportanceNotable
Technical verificationFormal (Lean)
Human understandingFew

OpenAI reports a parity-lift reduction for Weisfeiler–Leman equivalence

For each k≥4k\ge 4, an explicit construction maps a finite compatible-choice system to two equal-size simple uncolored graphs that are k-dimensional Weisfeiler–Leman equivalent exactly when the system has no successful choice; a successful choice is detected after two joint-refinement rounds or one separate-refinement round.

AI involvementAI-led
ImportanceNotable
Technical verificationFormal (Lean 4)
Human understandingFew

OpenAI reports a uniform quasipolynomial-time trace-reconstruction decoder

For every binary string of known length n and known rational deletion retention probability p, one randomized algorithm reconstructs the string with probability at least 2/3 using an explicit sample budget and bit time polynomial in that budget and the binary input length; for each fixed p, both are quasipolynomial in n.

AI involvementAI-led
ImportanceNotable
Technical verificationReported
Human understandingFew

OpenAI reports one matrix hitting point in every positive characteristic

Given a prime p in binary and positive n,s in unary, one deterministic polynomial-bit-time machine outputs a tuple of matrices over FpF_{p} of dimension O(n3s6)O(n^{3}s^{6}) that detects every nonzero division-free noncommutative formula of size at most s in n variables over every field of characteristic p.

AI involvementAI-led
ImportanceNotable
Technical verificationReported
Human understandingFew
Background

AI contributions across algorithms and computation, logic and formal proof, and optimization in the catalog, including their connections to mathematics.

Following this subject includes its nested topics and problems. Contributions that belong to several fields are counted once within the subject.

Background review: 2026-10-14. Selected sources:

Publication history