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832 papers, from 4 September 2026 to 5 November 2026: 832 arXiv preprints.
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Code, Commits, and Complexity in the GenAI Era: A Longitudinal Study of Team-Based Capstone Projects
Generative AI tools are now widely available to students, but little is known about how team-based project codebases have changed since they appeared.Digital Security Under Compound Threats: Surveillance, Threat Reasoning, and Habituation Among North Korean Defectors in China
North Korean defectors residing in China face persistent uncertainty regarding digital security and privacy.The Popular Get More Popular: Auditing Brand Bias in Generative Search
The shift from traditional to generative search has fundamentally transformed online product discovery.Operationalizing NCII and CSAM Law in the Age of AI: Open Problems
Advances in generative AI have driven a surge in synthetic non-consensual intimate imagery (NCII) and child sexual abuse material (CSAM), prompting a series of legal reforms.AraEngage: Interpretable Linguistic Correlates of Engagement in Arabic Facebook News
Engagement features developed for English are routinely applied to Arabic, but unvocalized Arabic changes what a lexical feature measures.How Generative AI Redefines Personalization and Diversity in the Newsroom
The tension between news personalization and information diversity has traditionally been understood as a matter of different content reaching different people, with diversity evaluated by the range…tok: a textual concrete syntax of BPMN and DMN for humans and AI agents
tok is a plain-text notation for Business Process Model and Notation (BPMN) 2.0.2 process models and Decision Model and Notation (DMN) 1.5 decisions.Technohybridism: Recursive Semantic Normalization in AI-Mediated Societies
Language-generating AI systems are no longer only objects of linguistic interaction: their outputs increasingly re-enter the communicative and institutional practices from which their training…Who Can Evaluate AI Independently? A Framework for Analysing Evaluation Infrastructure
AI evaluation is increasingly central to AI safety and governance, yet taking part in an evaluation does not by itself confer authority over its design, its execution or the resources it depends on."Blind Compliance": Coercive Control in AI Jailbreaking
The explosion of generative AI systems and concerns surrounding their rapidly scaling capabilities has led to an adversarial cycle between increasingly narrow content restrictions ("guardrails") and…Sure Enough to Share? Overconfidence in GenAI Video Discernment is Associated with Sharing Intentions
Generative Artificial Intelligence (GenAI) is blurring the line between synthesized and recorded videos, but less is known about people's awareness of their discernment abilities and the…Thick Alignment: A Social Framework for Values and AI Systems
Computer science research on the "alignment" of artificial intelligence (AI) systems treats human values as content to be specified and optimized.InterSim: Innovative Intersection Digital Twins for Human-in-the-Loop Driving Simulation
Innovative intersection designs can improve roadway safety and operational efficiency, but their uncommon geometries may create challenges for driver comprehension during early deployment.The Harness Is the Model: Agent Scaffolding Changes a Fixed LLM's Compliance with Banking Conduct Rules, Unevenly Across Models
Banks validate language models, but they deploy systems: a model inside a harness that decides what it sees, which tools it can call and who checks its actions.FireOPS: A Human-Centric Emergency Operations Platform
Volunteer fire brigades rely on fragmented alerting channels and radio plus paper for situational awareness, hindering a shared common operational picture (COP).Building a Method: Challenges and Lessons from Developing an Impact Evaluation Framework for Public Investment in Open Source Software
Modern societies and institutions depend on an invisible layer of open digital infrastructure: foundational, openly accessible digital technologies that support a broad range of social and economic…Clear Human Web: Where a Person Vouches for Every Client
The web cannot tell whether a request comes from a person or from a program.Today's Work, Tomorrow's Workforce: Incentivizing Learning in AI-Assisted Work
At work, people develop skills through experience: novices acquire skills by completing tasks, while experts retain theirs through continued practice.Who Gets Counted? Large Language Models, Informative Refusal, and Downstream Bias in Name-Based Demographic Classification
Researchers routinely infer gender, race, and ethnicity from names, yet the standard tools used for this task misclassify the groups that diversity research most needs to measure.Does Personality Persuade? Investigating Personality Trait Prompting and Persuasion in Large Language Models
Large language models (LLMs) can be prompted to express different personality profiles, but it remains unclear how reliably they do so or whether personality affects their persuasiveness.