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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Learning by Collaborating in the Age of AI: Research Mentorship for Polymathic, Workflow-Centered Science
Artificial intelligence (AI) is changing how data-driven research is produced.A Battery for AI Propensity Measurement: Rubrics, Synthetic Item Banks, and Annotations
We release a battery of 28 propensities for AI research, with expert-written rubrics, synthetic datasets, and annotated demand intervals, built with the method of Romero-Alvarado et al. (2026).Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool
Propagandistic content increasingly circulates through online news and social media, where readers often encounter it with limited scrutiny, highlighting the need for reliable and fine-grained…Incremental Predictive Value of LLM Tutoring Interactions for Student Performance
We evaluate whether semester-level interaction features from a large language model tutor improve assignment-score prediction beyond constant baselines.FraudSociety: A Generative Agent-Based Society for the Financial-Fraud Economy
Financial fraud caused over \$15.9 billion in losses in the United States in 2025, according to the Federal Trade Commission~\citep{ftc2026databook}.Data Governance for Generative and Agentic AI : Technology, Law, Economics, and Security
This book develops a unified governance framework for systems that retrieve, generate, infer, remember and act on information from large language models and retrieval augmented pipelines to…Gender Associations in LLM-Mediated ADHD Self-Diagnosis
Large Language Models (LLMs) are increasingly used for medical self-diagnosis.The Conditional Value of Costly Information in Collective-Risk Dilemmas
Many high-stakes collective problems, e.g., climate mitigation and pandemic response, share a structure in which risk materializes unless a group threshold is met.Fear Doesn't Go Viral, It Lingers: Spread, Affect, and Discourse of Food-Fear Content on TikTok
TikTok has become a primary channel for nutrition information, and alongside evidence-based content, it hosts a growing stream of \emph{fear-based} wellness messaging that frames ordinary foods as…After One-Click Video: The Inflow of Service-Type Content, the Failure of the Recommendation Pool Mechanism, and the BoLe System
In September 2026, a new large language model was released.Thumb on the scale: Using traditional wargaming adjudication practices to improve AI-judged evaluations and grading
Open-ended AI work has no single correct answer to check, so a judge, often another AI, decides each result.Playing Bias: Epistemic Games for Interpreting Text-to-Image Models
Text-to-image (T2I) systems do not merely render prompts; they circulate defaults for "what X looks like," shaping recognition through pose, camera, costume, props, and setting.Forging Emotions: a deep learning experiment on emotions and art
Affective computing is an interdisciplinary field that studies computational methods that relate to or influence emotion.Democratic Accountability for Autonomous Systems: A Legislative Notification Framework and Comparative Institutional Design
No domestic legislature has ever reviewed a state's decision to authorise an autonomous cyber weapon before it acted.Autonomous Cyber Weapons as AI-Enabled Digital Harms: A Platform Accountability Framework
Governments govern AI-generated online harms from commercial platforms (EU DSA, AI Act, UK Online Safety Act), yet the most severe class remains ungoverned: autonomous cyber weapons (ACWs) deployed…Automated Post-Exploitation Attack Chain Exploration Based on a Phase-guided Hybrid Planning-Monte Carlo Tree Search Algorithm
Advanced attackers in post-exploitation scenarios increasingly craft attack chains that combine benign operations, configuration errors, and vulnerability exploitation to achieve objectives like…The Effects of Generative AI on Collaboration and Social Networks Among Knowledge Workers
The rapid diffusion of generative artificial intelligence has raised concerns that knowledge work may become less dependent on human-to-human interaction.National-Scale Multimodal Accessibility Fields from Open Geospatial Data
Large-area accessibility analysis remains difficult to reproduce because multimodal routing, heterogeneous opportunity data, and reusable spatial outputs are rarely integrated in a single…Analysing Austrian Parliamentary Speeches by Predicting Party Affiliations
This paper examines speech characteristics of the Austrian National Council members (CMs).When disclosure rules are not enough: authorial warrant and judgment in ai-supported scholarship
Editorial policies increasingly require authors to disclose substantive uses of generative AI, but such requirements commonly focus on whether, where, and how a model was used.