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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Better Plans, Better Outcomes: Integrating Historical Data into Student Planning in a Computing Course
Effective planning is critical for academic success, but in many computing courses students often lack accurate benchmarks for assessing the difficulty and time required for academic tasks.False Reassurance in LLM Severe-Weather Guidance: A Replayable Evaluation Against Real NWS Alerts
An LLM assistant that cannot see official severe-weather alerts may tell users that conditions are calm while a warning is active.Personas Are Not People: Identity as State, Not Attribute
Synthetic populations, large sets of simulated people, are increasingly used in place of real people to pretest surveys, simulate users and communities, and evaluate AI systems.Whose Transparency is it Anyway? Understanding Generative AI Transparency Needs and Gaps Across Stakeholders
Transparency has become a central principle in AI governance, yet there is little agreement about what transparency means, for whom, and in what contexts.What Do We Mean When We Say 'F*ck AI'?: Moral Panic, Semantic Indeterminacy, and the Reification of Techno-Capitalism
Academic and (increasingly) public resistance to artificial intelligence (AI) often blurs the line between legitimate critique of techno-capitalist exploitation and (inflated) existential risk.Cibersapiens: Gamifying Cybersecurity Education to Engage Secondary Students
Cybersecurity education and awareness are often tailored for businesses, leaving general citizens, especially young people, unprepared.VIPBench: A Human-Aligned Benchmark for Voice Identity Perception in the Age of Voice Cloning
Speaker-recognition benchmarks test how accurately a model recovers the speaker label of a recording, treating voice identity as a property of the person who produced it.The Male Abstraction Bias in Internet Culture and Large Language Models
Conceptual abstraction and gender are two equally central aspects of the human mind, yet they have traditionally been studied in isolation from one another, as though they were fundamentally separate.The Moving Frontier: How the National Justice Project Is Using Digital Technology to Expand Access to Justice
Over the past three decades, technological advances have assisted individuals to gain access to legal information, enhance the efficiency of legal services, and streamline dispute resolution.Accessed, never disclosed: Silent access to protected health information by medical artificial intelligence agents
Medical artificial intelligence agents should retrieve patient identifiers only when a task requires them, the data-minimization principle behind the HIPAA minimum necessary standard for protected…Networked Synthetic Social Engineering on the Web
Several genuine AI services may repeat one unsupported source, and correcting that source may leave later reports unchanged.Time-Aware Urban Flood Routing with Sticky Edge Closure on Forecast Depth: A Hanoi Case Study
During urban flash floods, commuters and guiding agencies require awareness towards which roads remain passable when a vehicle actually arrives, rather than relying solely on which links appear open…From Source-Based Quizzes to Reteaching Decisions: A Practitioner Guide to ClassQuest
A source-based quiz can help a computing teacher identify material to explain again, but its report must preserve the limits of the evidence behind that decision.Ask More, Hear Less: How a Review Prompt Changes What Online Ratings Show
Platforms ask customers for online reviews to reduce self-selection, but theory conflicts on whether review solicitation makes online ratings more or less informative.SearchInject: Retrieval Exposure Control for Indirect Prompt Injection in Language-Model Search
An indirect prompt injection can affect a search-augmented large language model only after its carrier page reaches model context.Computer Vision Applications for Art History: Reflections and paradigms for future research
One of the contributing factors to the continuing debate among art historians over the use of computational methods in art history research is that they do not consider the core of today's art…Constructing an Artworld Influencers Network by Mining Social Media
The author shows a methodology for constructing a network map of the artworld.Window-Aware Scheduling for Health Messaging under Platform Delivery Constraints: Evidence from an AI-Powered WhatsApp Maternal and Infant Health Chatbot in Nigeria
WhatsApp lets a business send free-form messages only within 24 hours of a user's last message; outside this customer service window, only pre-approved templates are delivered.PlagiaCorpus: A Bilingual, Adversarial, and Cross-Lingual Dataset for Forensic Plagiarism Detection
PlagiaCorpus is a bilingual Arabic-English dataset for benchmarking plagiarism and text-reuse detection, including reuse produced by large language models (LLMs) and reuse across languages.LLMs and the Organization of Scientific Work
The advent of large language models (LLMs) represents a technological revolution for science.