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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Forecasting Visitor Demand from Open AI-Camera Counts and Weather: Lessons from Japan for Saudi Heritage Sites
Small heritage and nature sites need a few days' notice of busy days to plan staff, overflow parking and shuttles, but most have neither sensors nor forecasting expertise.Change the Funnel, Not Who May Submit: Engineering Peer Review for the Flood
Every reviewer knows the feeling: more papers each cycle, three full reviews for each of them, and a suspicion that near the accept line the outcome is luck.Acceptance and Responsibility Attribution Toward Autonomous Ambulances Across Driving Conditions: A Preliminary Survey of Fire Service Personnel
Traffic incidents involving ambulances and fire engines during emergency-response driving can have serious consequences.Accuracy Is Not Risk: Why Medical AI Should Not Report Only Its Most Likely Label
Many medical AI models are trained to reproduce a single reference label and hand the most likely label to the next step in a clinical workflow.Urban functional knowledge transfer through global representations amid uneven data
Urban functional observations are unevenly distributed worldwide, limiting analysis of how places are organised and used.From Policing Provenance to Designing for Evidence: Testing Four Propositions on Generative AI Against Research and Institutional Policy
Generative AI has made it hard to establish whether a student produced a piece of assessed work.Large language models underrepresent malice and overreport virtue
People increasingly use large language models (LLMs) to interpret others' behaviour, often assuming that LLMs infer motives as humans do.Language Non-Invariance in the Ideological Evaluation of Large Language Models
Recent multilingual studies show that political evaluations of large language models (LLMs) can vary across languages.GESIS Surf: An Open-Source Infrastructure for Privacy-Preserving Longitudinal Web Browsing Data Collection
Understanding how people navigate digital media environments requires behavioral data beyond survey self-reports.The Ineliminable Anchor: Human Judgment as a Structural Requirement of Autonomous Artificial Intelligence Systems
As artificial intelligence (AI) agents carry out longer chains of tasks, oversight must establish whether their behavior still serves an authorized goal.Does Reasoning Make Language Models Agree?
Language models face two opposing concerns: monoculture, in which models err in correlated ways, and multiplicity, in which equally accurate models make conflicting decisions.MERIDIAN: Memory-Encoded Rituals for Intimacy across Distance in an Interactive, Asynchronous Neighbourhood
How can shared memories become playable structures for partners who live in different time zones?LLM Recommenders Produce Demographic Inequality Through Content Preferences
Large language models (LLMs) are increasingly being integrated into systems that rank and recommend online content.AI evaluators favor job applications written by certain AI models, independent of candidate quality
Job applicants increasingly use large language models (LLMs) to write cover letters, while employers deploy LLMs to screen them.Text as an Index for Zero-Shot Cross-Domain Knowledge Tracing
Knowledge tracing (KT) predicts a student's next response from their history.On-Chain Behavioral Signatures for Classifying Centralized Exchange Addresses on Ethereum Using Proof-of-Reserves
Centralized exchanges (CEXs) are key gateways between traditional finance and digital asset markets, yet identifying their blockchain addresses remains challenging.Recommendation Feedback Loops Shape Urban Income Segregation and Venue Visitation
Location-based recommender systems shape where people go in cities and learn from the visits they steer, forming a human-AI feedback loop.A Multimodal Type 2 Diabetes Registry on DHIS2: A Design and Feasibility Study with the AI-READI Dataset
Care for type 2 diabetes increasingly draws on continuous glucose monitors, wearable devices, home sensors, clinical records and retinal images, yet few open platforms have been shown to hold all of…AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration
As generative artificial intelligence (AI) becomes more capable and widely used, understanding when and how humans should work with these systems is becoming increasingly important.Differentially Private Synthetic Data from Sliced Chebyshev Moments
Research on practical differentially private (DP) synthetic data has largely focused on methods that approximately preserve low-dimensional marginals of a target distribution, and can thus only hope…