惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

T
Tailwind CSS Blog
H
Heimdal Security Blog
The Register - Security
The Register - Security
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 聂微东
Apple Machine Learning Research
Apple Machine Learning Research
Engineering at Meta
Engineering at Meta
Hugging Face - Blog
Hugging Face - Blog
大猫的无限游戏
大猫的无限游戏
Recent Announcements
Recent Announcements
博客园 - Franky
G
Google Developers Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google DeepMind News
Google DeepMind News
B
Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
美团技术团队
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 司徒正美
IT之家
IT之家
博客园 - 【当耐特】
Hacker News: Ask HN
Hacker News: Ask HN
SecWiki News
SecWiki News
有赞技术团队
有赞技术团队
H
Hacker News: Front Page
Application and Cybersecurity Blog
Application and Cybersecurity Blog
S
Security Affairs
S
Securelist
Last Week in AI
Last Week in AI
L
Lohrmann on Cybersecurity
博客园_首页
T
Troy Hunt's Blog
N
News and Events Feed by Topic
www.infosecurity-magazine.com
www.infosecurity-magazine.com
C
Cyber Attacks, Cyber Crime and Cyber Security
J
Java Code Geeks
V
Visual Studio Blog
量子位
AWS News Blog
AWS News Blog
罗磊的独立博客
S
SegmentFault 最新的问题
V
V2EX
腾讯CDC
Spread Privacy
Spread Privacy
Help Net Security
Help Net Security
S
Security Archives - TechRepublic
Attack and Defense Labs
Attack and Defense Labs
Cyberwarzone
Cyberwarzone
Project Zero
Project Zero
P
Privacy & Cybersecurity Law Blog

math updates on arXiv.org

Any-Dimensional Invariant Universality Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation Instance-Optimal Estimation with Multiple LLM Judges on a Budget Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them Non-normal spectral signatures of instability in neural network training dynamics Is Dimensionality a Barrier for Retrieval Models? Optimization of randomized neural networks for transfer operator approximation Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries Training-Free Looped Transformers Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models Entropy Equivalence Testing Selective Ambulance Dispatch Under Contextual Travel-Time Uncertainty Sparse In-Network Learning via Shortest-Path Backpropagation and Finite-Rate Gating Asymmetric Scaling Laws from Sparse Features Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer On the Stability of Spherical Hellinger-Kantorovich Flows and Their Implications for Differential Privacy Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics Linear Regression with Unknown Truncation Beyond Gaussian Features Training-Free Rate-Distortion-Perception Traversal With Diffusion Learning Decision-Sufficient Representations for Linear Optimization Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes Parameterized Complexity of Stationarity Testing for Piecewise-Affine Functions and Shallow CNN Losses Every Minimal Counterexample to the Erdős-Gyárfás Conjecture is Predominantly Cubic Prabhakar function and unified fractional kinetic equation in bicomplex space Every signed planar graph is $5$-choosable: A short proof and refinements A Comprehensive Study of Clique Graphs and Clique Regular Graphs Mathematical Foundations for Peer-to-Peer Lattice Computation Computing Gamma(p/q) with Beta function values Flows on Graded Manifolds Optimal embedding dimension in the Nash--Tognoli theorem Generalized Stochastic Approximation of the Log-Likelihood Ratio for Robust Sequential Change-Point Detection An optimal first-order method for smooth and strongly convex composite optimization and its stationary limit Sharp Bohr-Type inequalities for certain classes of close-to-convex functions An Axiomatic Theory of Tie-Breaking: Impossibility, Characterization, and Decomposition Invariants of real affine varieties based on their complexifications The Geometry of Cooperative Game Solutions: Stratified Egalitarian Shapley Values Topological symmetric and braid homologies Reconstructibility of Pitch Class Graphs and the Z-relation Finite groups with high commuting probability for Sylow subgroups On Reed-Muller subcodes, Grassmannian partitions and sum-free functions Concise and elegant proofs of three formulas for complete Bell polynomials Performance Bounds for Rollout Policies in Stochastic Shortest Path Problems Real 2-blocks in quasi-simple groups Maximal subalgebras of the Lie algebra $W_n(\mathbb{K})$ Cohomogeneity-One Ruled Hypersurfaces in $\mathbb{CP}^2$ and $\mathbb{C}H^2$ Global analysis of the Kuramoto flow Cartier algebras through the lens of $p$-families Positivity in the context of Hodge modules and Higgs bundles on Deligne-Mumford stacks Symplectic lattice counting and zeta functions of higher Heisenberg groups A Complete Spectral Analysis of the CEV Operator with Applications to Arbitrage A secondary pairing between K-theory and K-homology, relative eta invariants, and zeta maps Detecting and Correcting Sample-by-Sample Scale Distortion in RNA Sequencing Data Star-Shaped Integral Cartan-Type Matrices and an Egyptian-Fraction Classification of Affine Weighted Trees The Poisson Tail Conjecture for Primes in Short Intervals Polylogarithmic Full-Chord Buffon Discrepancy Extremum seeking with exponential convergence via high-order Lie bracket approximations Sets of large values of polynomial multi-correlation functions Reflections and Sheafifications in Algebraic and Topological Categories On the final-state problem for the 1D cubic NLS Mode-Shape Expansion Using Physics-Constrained Gaussian Process Regression Isotropic Meta Kazhdan-Lusztig Combinatorics II: Isomorphism to the generalised Khovanov arc algebra Improved Torn Paper Coding via Local Alignment Discrete Pauli pairs Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Programs Commutator-Induced Uncertainty in VAEs Anytime Training with Schedule-Free Spectral Optimization The General Theory of Localization Methods PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels Proximal basin hopping: global optimization with guarantees On Stability and Decomposition of Sample Quantiles under Heavy-Tailed Distributions Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers Stochastic Non-Smooth Convex Optimization with Unbounded Gradients PyCSP3-Scheduling: A Scheduling Extension for PyCSP3 Strategic PAC Learnability via Geometric Definability Proximal-Based Generative Modeling for Bayesian Inverse Problems SPHERICAL KV: Angle-Domain Attention and Rate-Distortion Retention for Efficient Long-Context Inference NOVA: Fundamental Limits of Knowledge Discovery Through AI TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems Normalizing Flows on Quotient Manifolds via Boundary Quotients Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes Towards an Inferentialist Account of Information Through Proof-theoretic Semantics Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots A Unified Fractional Regularization Framework for Sparse Recovery Inference of Online Newton Methods with Nesterov's Accelerated Sketching Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data QED: An Open-Source Multi-Agent System for Generating Mathematical Proofs on Open Problems Adaptive Learning via Off-Model Training and Importance Sampling for Fully Non-Markovian Optimal Stochastic Control. Complete version ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport Feature Learning Dynamics in Infinite-Depth Neural Networks TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis Program Evaluation with Remotely Sensed Outcomes
A parametric family of primes p = km(m+1) + e + 2kq: heuristic laws, conditional theorems, and unconditional primality certificates
[Submitted on 15 Jun 2026] · 2026-06-16 · via math updates on arXiv.org

View PDF HTML (experimental)

Abstract:We study the parametric family p_{k,m,e,q} = k m(m+1) + e + 2kq (k,m in N*, e in {+1,-1}, q in Z), extending the elementary fact that every prime p>3 satisfies p = +/-1 (mod 6). Each prime p>k+1 has a canonical triple (m,e,q) with |q| minimal; every assertion is tagged rigorous, conditional, or heuristic.
Rigorous: (i) for every prime l dividing 2k, p = e (mod l) -- the degenerate modular axis is fixed exactly, independent of q; (ii) for the 3-smooth subfamily p=3m(m+1)+1 with m=2^a 3^b-1, Pocklington-Lehmer certificates are unconditional, two a-priori filters remove about 87% of candidates, and we exhibit an unconditionally certified prime of 29998 decimal digits, independently re-verified; (iii) the reported spectral correlation between Q(r)=sum q_n and the zeros of zeta is a spurious-regression artefact -- beyond three permutation tests and a bias-free test on 10^8 primes (R^2=1.16e-7), we prove unconditionally that the regression amplitude A_N(gamma) tends to 0 for every fixed gamma, by reduction to square-root-phase prime exponential sums.
Conditional (GRH / Bateman-Horn / RH): |q_min| = O_k(m (log m)^2); E[|q| | m] = m/4 + O((log m)^2 / sqrt m); a modular distribution law; and a per-prime zeta-footprint << p^{-1/4} (Selberg variance). Heuristic (validated at 10^6-10^8): E[|q_min|] ~ (log m)/C_k, and the geometric constant C_0(k) = <|q|>/sqrt(p) = 1/(4 sqrt k), stable to <0.02% over 3<=k<=29.
The work rests on two genuinely unconditional pillars: constructive (the certified prime) and analytic-negative (the vanishing zeta-signal). No classical question is settled; this is experimental mathematics with rigorously tracked hypotheses.

Submission history

From: Hassane Bakkaoui M [view email]
[v1] Mon, 15 Jun 2026 04:02:57 UTC (89 KB)