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Artificial Intelligence
The newest papers in Artificial Intelligence that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 11 October 2026 to 5 November 2026: 4,998 arXiv preprints and 2 OpenAlex records.
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Newest papers, page 76
What Can Firms Do in the Face of Model Distillation?
Model distillation has become a major concern in the rapidly growing generative AI discourse.Predicting What Answer Engines Cite: Open Decision Models, Rerankers and a Distilled 4B Student on Ten Engines under Controlled Retrieval
Generative engine optimization needs a scorer that ranks candidate pages by the share of an answer they will receive as citations.Jailbreak Connectivity: Towards Diverse, Transferable, and Universal Multimodal Large Language Model Jailbreak
Multimodal large language models (MLLMs) are vulnerable to visual jailbreak attacks that bypass safety safeguards.Nemotron 3.5 Super and Lightning: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Models for Agentic AI
We introduce Nemotron 3.5 Super and Nemotron 3.5 Lightning, open and efficient Mixture-of-Experts Hybrid Mamba-Transformer models designed for reasoning, long-context understanding, and agentic…Calculation and rejection diverge in language models tested at known mechanical limits
When a language model returns engineering quantities with the status "solved", software that trusts it passes them on, even when the requested design is physically impossible.Evaluating Causal Reasoning in LLMs: A Case Study in the Challenges of Procedural Generation
Large language models (LLMs) appear to represent and reason about a large range of phenomena.AI-Driven Digital Twin Framework for Warehouse Logistics Automation Optimization
In recent years, warehouse logistics optimization has increasingly focused on intelligent, data-driven systems to enhance operational efficiency.The Prestige: Benchmarking Cognitive Visual Reasoning using Magic Tricks
We introduce The Prestige, a video understanding benchmark that probes cognitive visual reasoning through professional magic performances, where deliberate misdirection challenges models to track…From the Gettier Machine to Justified True Output: A Three-Step Account of Rational Trust in Generative AI
As generative artificial intelligence (AI) settles into everyday practices of inquiry, an old epistemological question returns in a new guise: when does a proposition a user takes from an AI output…Beauty Is Human: When People Love AI-Generated Art, They Think a Human Made It
Generative AI now produces images and poems that people cannot reliably distinguish from human-made work, so people often judge for themselves who made a work.Too Hard, Too Easy, Just Right: Performance-Driven Challenge Adaptation in Virtual Reality Firefighter Training
Effective firefighter training requires practice under dynamic and stressful emergency conditions, yet real-world live-fire exercises are costly, risky, and difficult to scale.Post-Training Large Language Models with LLMON
Large Language Models (LLMs) treat all context tokens uniformly, lacking explicit separation between executable instructions and passive data.Answer-Only Disclosure: Private-Context LLM Assistance over Web APIs with a Leakage Ledger
Web assistants increasingly answer questions about a user's private documents by pairing a small on-device model with a cloud LLM behind a Web API.Decompose, Don't Expand: Capability-Independent AI Systems by Construction
A recurring design choice in building AI systems is whether, when a task is too hard for a model, to expand the model (make it larger, better-prompted, fine-tuned), or to decompose the task (extract…SkillCT: A Multidimensional Benchmark and Execution-Free Baseline for Agent Skill Assessment
Agent skills package instructions, scripts, and resources for specialized tasks and are increasingly distributed through public Web repositories.Estimating Implicit Expected Log Density Ratios
When exact probabilities cannot be computed, \emph{density ratio estimation (DRE)} is a key subroutine in the wide range of applications where density ratios appear, from experimental design to…BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios
Lightweight representation bridges make pretrained, task-adapted EEG foundation models executable on other biosignal modalities without retraining their backbones.Scaling Lean Theorem Proving for Real-World Code Verification
We present EasyProver, a Lean proving system built from recursive agents with isolated contexts, asynchronous search, parallel tactic probing, and an elastic elaboration service.DecompGym: Benchmarking LLM Agents on Designing Decomposition Algorithms
Benders decomposition and column generation solve large optimization problems by passing cuts, columns, and dual values between a master problem and subproblems, and are hard to implement correctly.Prototype-Guided Dynamic Domain Modulation and a Large-Scale Multi-SKU Benchmark for Shampoo Bottle Surface Defect Detection
Industrial shampoo-bottle surface defect detection must operate across many stock keeping units (SKUs), where differences in bottle geometry, material, label layout, reflectance, and imaging…