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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: 4,993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 14
IDSISA: Influence-Distilled Sharded Training for Efficient Machine Unlearning
Machine unlearning removes the influence of specific training examples to comply with privacy regulations.From Admission to Retention: Predicting Durable Offspring in Quality-Diversity Search
Automated failure discovery can be framed as a diversity problem: the objective is to expose distinct ways a system fails rather than a single critical adversarial case.Using Experience Twice: Dynamic Process Rubrics for Privileged Token-Level Credit Assignment
Agent trajectories often contain both successful decisions and failed attempts, yet optimization with sparse trajectory-level rewards struggles to identify which critical decisions should be…Addition by Subtraction: Toward Mitigating Fragile Safety Alignment in Large Language Models
Large language models (LLMs) undergo safety alignment to prevent harmful generations, yet they remain vulnerable to jailbreak attacks.RAGAM-AI: A Hybrid Reinforcement Learning based Agentic approach powered by Generative AI for Edge Resource Management
Resource management for distributed edge networks hosting different services has been handled efficiently using Reinforcement learning (RL).One Scale, Four Texts: Gaps, Overlaps and Silent Repairs in Published Grading Schemes
Category systems often reach their users as text, and readers apply them with tacit repairs.Signed, Sealed, Leaked: Trust Beyond Signature for MCP Toolchains
AI agents rely on third-party tools, such as Model Context Protocol (MCP) servers, whose publishers can be authenticated and whose execution can be restricted by runtime security policies.Time-Division Multiplexing: The Operational Rhythm and Temporal Organization Layer of Digital Life
Continual agents must handle urgent interaction while retaining alternatives, replaying errors, and committing safe long-term changes.From Reconstruction to Imputation: Test-Time Optimization for Missing Time-Series Channels
Complete sensor-channel failures create a difficult form of time-series missingness: local interpolation is unavailable, and deploying a separately trained imputer for every failure pattern may be…Interactive World Simulation with Cosmos for Physical AI
We present a shared framework that adapts Cosmos world foundation models for real-time interactive world simulation in Physical AI.From Certified Pairs to a Certified Hub: Reasoner-Checked Crosswalks for the Information Exchange Standard
A national digital twin was conceived as an ecosystem of twins connected through mappings to a common foundation, but the roadmap that promises to confirm those mappings are valid never says what…Does Frontier AI Strengthen Cyber Defense? Evidence from Project Glasswing
Defenders and attackers race to find the same software flaws.Noise-regularized training of quantum circuit Born machines under a finite shot budget
Quantum circuit Born machines (QCBMs) can learn distributions that are hard to sample from classically, but their value depends on generalizing from finite training data.Trick-or-Treat: Adversarial Evaluation of Multimodal Medical Reasoning with Synthetic Images
We used medical image synthesis to create a challenging multimodal evaluation framework that exposes hallucination behaviors in frontier models.Human Motion Prediction via Continual Prior Compensation
Human Motion Prediction (HMP) aims to predict future human poses at different moments according to observed past motion sequences.Where Search Agents Go Off the Rails: Graph-Grounded Step-Level Verification
Search-augmented reasoning systems can reach correct answers while making errors in intermediate steps.AgentTrustCI: Build-Time Policy, Grounding, and Trajectory Tests for Java LLM Agents
Infrastructure security does not establish whether an LLM agent selected an allowed tool, grounded its answer in tool output, or followed a required workflow.LifeVal: Evaluating AI Model Performance on Personalized Agentic Consumer Tasks
We introduce LifeVal, a benchmark evaluating AI model performance on personalized agentic consumer tasks.Don't Replace, Complement: A Detector-Agnostic Subspace Signal for Near-OOD Detection
Post-hoc out-of-distribution (OOD) detection is mature on far-OOD yet remains weak on near-OOD.ALTO: African and Levantine Tech-Facilitated Gender-Based Violence Corpus
Tech-facilitated gender based violence (TFGBV) is a pervasive online harm affecting women and gender minority groups through its many direct and covert forms.