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

D
DataBreaches.Net
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
云风的 BLOG
云风的 BLOG
B
Blog
博客园 - Franky
I
InfoQ
A
About on SuperTechFans
博客园_首页
L
LangChain Blog
量子位
腾讯CDC
Microsoft Security Blog
Microsoft Security Blog
博客园 - 【当耐特】
美团技术团队
V
V2EX
Apple Machine Learning Research
Apple Machine Learning Research
雷峰网
雷峰网
MongoDB | Blog
MongoDB | Blog
Microsoft Azure Blog
Microsoft Azure Blog
月光博客
月光博客
T
The Blog of Author Tim Ferriss
P
Proofpoint News Feed
G
Google Developers Blog
Last Week in AI
Last Week in AI

cs updates on arXiv.org

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment Agentic Proving for Program Verification MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts Solving the Aircraft Disassembly Scheduling Problem Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering EDGE-OPD: Internalizing Privileged Context with Evidence Guided On-Policy Distillation ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction Naturalistic measure of social norms alignment Articulatory strategy as a source of variation in acoustic vowel dynamics When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning Cultural Adaptation in Large Language Models for Political Discourse Emotion Recognition in Sign Language Conversation ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning DART: Semantic Recoverability for Structured Tool Agents Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems Parallel Context Compaction for Long-Horizon LLM Agent Serving
Modular Rank and Linear-Complexity Tests for Pseudorandom...
[Submitted on 21 Jun 2026] · 2026-06-23 · via cs updates on arXiv.org

View PDF HTML (experimental)

Abstract:Standard batteries of tests for pseudorandom number generators (such as dieharder, the NIST suite, and TestU01) provide two empirical tests for linearity, the binary rank and linear-complexity tests. Both operate over the field $\mathbf F_2$, and thus detect generators that are linear over $\mathbf F_2$. However, generators can be linear over a larger field, as in the case of congruential generators, single-modulus multiple-recursive recurrences, and of matrix generators such as MIXMAX. We introduce a modular version of the rank and linear-complexity tests, and provide modlin, a Rust program that implements it efficiently for fields of prime size. modlin can detect in minutes statistical bias in all current CERN's ROOT's implementations of the MIXMAX generator, for which no standard statistical test failure has been reported before.

Submission history

From: Sebastiano Vigna [view email]
[v1] Sun, 21 Jun 2026 21:57:52 UTC (31 KB)