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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Newest papers, page 37
Control-Theoretic Content Moderation
A sizable literature studies content moderation locally, at the level of individual moderation decisions, for example by measuring or predicting the effects of specific interventions.Could Underwater Data Centers Pose a Risk to AI Treaty Verification?
Proposals for international agreements that limit frontier AI development depend on verification, and a central challenge is detecting undeclared compute facilities used to evade restrictions.Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria
Artificial intelligence (AI) is increasingly integrated into healthcare systems worldwide, yet its successful clinical adoption depends critically on workforce readiness, particularly in low- and…ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments
Scientific code repositories encode decades of human knowledge in executable models, methods, and tools.Making Local Government Contracts Legible: A Computational Pipeline for Classifying and Mapping Intergovernmental Service Agreements
Interlocal agreements are one of the primary instruments through which local governments formalize collaboration for public service delivery, yet the institutional and financial content encoded in…''Bless his heart... he thought all we did was push a button": Understanding Worker Challenges with U.S. Election Technology
This paper explores how the technologies U.S. election officials depend on also challenge their work.The AR Fairness Metamodel: A Structured Framework for Fairness Measures
This paper presents the AR fairness metamodel, a framework designed to represent, analyze, and compare different fairness scenarios.From Digital Competence to Demonstrated Digital Capability: Positioning the International Digital Driving License Against DigComp and UNESCO Frameworks
Digital competence frameworks define the knowledge, skills, attitudes and values required for participation in digital society.BurnRiSc: Toward Non-Invasive Burnout Screening in Open Source from Public Repository Signals
Burnout is a chronic occupational syndrome, and open source is close to a worst case for it: maintainers absorb unbounded demand with no manager to reallocate work and no organization to notice…Looking Back and Forward: What Teaching Materials Do Not Remember About Instructional Reasoning
Instructional materials can be passed along to new instructors, yet the instructional reasoning, such as instructional intentions, contextual information, and reflective insights behind their…Understanding Reliability in LLM-based Human Behavior Simulation
Large language models (LLMs) are increasingly used to simulate human survey responses and behavioral reactions, yet unreliable simulations can mislead social science conclusions.Testing Our Foundations: Citation Trends, Errors, and Emerging Hallucinations in the Computing Education Literature
Accurate references are foundational to scholarly work, enabling verification, attribution, and systematic review.A Framework for Generating Valid Context-Specific Benchmarks through Expert Guidance
This paper presents an end-to-end approach for generating context-specific large language model (LLM) benchmark datasets by combining expert input with synthetic data generation.Quantifying Organizational Environmental Action from Web Data and Large Language Models
Quantifying organizational environmental action from publicly available web content remains a challenging environmental data science problem because relevant information can be dispersed across…From Public Evidence to Contractual Outcome: First and Stable Decidability on Kalshi
Public evidence can become sufficient to settle a prediction-market contract before the venue records its first determination, but the relevant boundary depends on the applicable rule version, exact…Dataset repurposing and disruptive AI research
Technological advancements are enabling increasingly systematic and large-scale data collection across all areas of science, driving scientific innovation.AI literacy over tool design: a mixed-methods study of scaffolded versus unrestricted generative AI in programming education
Generative AI has become a routine resource in programming education, and most institutional responses to it are attempts at control, either by restricting access or by offering students a…Disrupted Companionship: A Risk Assessment Framework and Cross-Platform Quantitative Analysis of Psychosocial Responses to AI Companion Disruptions
AI companions can provide meaningful relationships, yet these relationships remain vulnerable to platform-initiated changes.The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment
Large Language Models are now common in student assessment, but we know little about how student demographics affect their use.Finding Common Mistakes In Modelling With Mathematical Formalisms Using LLMs
Modelling with mathematical formalisms like logical formulas, mathematical equations, or regular expressions is an important yet challenging task for students of computer science and other STEM…