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834 papers, from 4 September 2026 to 5 November 2026: 834 arXiv preprints.
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Personalized Recommendations Without Inducing Congestion: Mitigating Disparities in the NYC High School Match
Algorithmic recommendations can help participants navigate large matching markets.How Could AI Eliminate Humanity? A Failure-Mode Analysis of Civilizational Risk
This article develops a failure-mode framework for analyzing how advanced artificial intelligence could contribute to human extinction, irreversible civilizational collapse, or permanent human…Humanize: Judgement Engineering for Agentic Coding
Agentic coding makes code generation cheap, but reliable completion remains difficult: the agent that writes the code is a weak judge of whether it is done.Talking with Language Models
When we interact with large language models (LLMs), are we having a conversation?Move Fast and Mend Things: Keeping Up with Evolving AI Harms Using Social Media Commentary
The rapid deployment of AI systems has created socio-technical, psychological, and operational harms that can elude ex-ante threat modelling and ex-post incident tracking.Visual Grounding Safety in Vision-Language Models
Vision-language models (VLMs) are increasingly trained to generate structured outputs like points and bounding boxes that downstream interfaces, agents, and robots can act on, yet safety alignment…Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health
The efficacy of traditional disease prediction is limited by spatial gaps and temporal lags, which impact the timing and targets of resource deployments.Curriculum Brain: Constructing Curriculum Knowledge Graphs as a Substrate for Cognitive Diagnosis
Cognitive Diagnostic Models (CDMs) identify which specific skills a student has and has not mastered, the signal a personalized learning path needs and a single aggregate score cannot give.AI-Generated Disinformation in the UK: Risk of Harm, Context, and Classification
More people across the UK are today exposed to more AI-generated and AI-altered disinformation and misinformation than ever before - exposing individuals and society to a growing range of harmful…Anosognosia in LLMs: Probing Self-Awareness of Quantized Computational Substrate
Can LLMs recognize degradation in their own computational substrate?Artificial Intelligence and the New Science of Culture
Cognition and culture have long been treated as parallel objects of study, joined more by metaphor than by mechanism.Assessing flood-related wellbeing from public discourse in Ireland using large language model as judge, 2012--2025
Flooding is an environmental hazard that produces social and psychological consequences for exposed individuals, shaping threat appraisal, perceived coping capacity, access to social support, and…Better Call Reward: Reward Hacking as Strategic Abstention in Legal Reasoning Models
What happens when a legal AI model learns to look like a lawyer instead of reasoning like one?JEV versus LLMs: Accuracy, Cost and Calibration on Seven Political Science Replications
Large language models (LLMs) annotate and scale political text or constructs by generating text tokens.Mind Perception Influences Perceived AI Companionability
Humans increasingly keep company with AI companions, yet whether mind perception (MP) precedes machine companionship remains untested.WPTokens: A Dataset for Studying the Regulation of Wikipedia
Studying how Wikipedia is regulated requires knowing who adds, rewrites, moves and deletes which piece of content, when and where.Can LLM-assisted regularization increase forecast accuracy for migration flows in low data regimes?
Predicting migration flows remains a significant challenge for traditional gravity-based forecasting models, which primarily rely on structured socio-economic indicators such as economic disparity…Redistributing Harm: Document Transition and the Limits of Trans Inclusion in India's Identity Systems
Identity documents (IDs) are some of the most consequential sites through which transgender people encounter state infrastructures.Simulating Strategies for Defense Against Brand-Targeted Online Disinformation
Brand-targeted disinformation can damage firms not only by spreading false beliefs, but by eroding trust, amplifying reputational uncertainty, and persisting across networked digital environments.When the Rule-Maker Runs the World Championship: Late Patches and Procedural Accountability in League of Legends
Riot Games, which runs the League of Legends World Championship (Worlds), also changes the game shortly before each tournament.