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◬ AI & Machine Learning Apr 14, 2026
DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review

arXiv:2604.09590v1 Announce Type: new Abstract: Automated peer review is often framed as generating fluent critique, yet reviewers and area chairs need judgments they can \emph{audit}: where a concern…

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◬ AI & Machine Learning Apr 14, 2026
Persistent Identity in AI Agents: A Multi-Anchor Architecture for Resilient Memory and Continuity

arXiv:2604.09588v1 Announce Type: new Abstract: Modern AI agents suffer from a fundamental identity problem: when context windows overflow and conversation histories are summarized, agents experience …

arXiv AI Read →
◬ AI & Machine Learning Apr 14, 2026
MobiFlow: Real-World Mobile Agent Benchmarking through Trajectory Fusion

arXiv:2604.09587v1 Announce Type: new Abstract: Mobile agents can autonomously complete user-assigned tasks through GUI interactions. However, existing mainstream evaluation benchmarks, such as Androi…

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◬ AI & Machine Learning Apr 14, 2026
Agentic Exploration of PDE Spaces using Latent Foundation Models for Parameterized Simulations

arXiv:2604.09584v1 Announce Type: new Abstract: Flow physics and more broadly physical phenomena governed by partial differential equations (PDEs), are inherently continuous, high-dimensional and ofte…

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◬ AI & Machine Learning Apr 14, 2026
Factorizing formal contexts from closures of necessity operators

arXiv:2604.09582v1 Announce Type: new Abstract: Factorizing datasets is an interesting process in a multitude of approaches, but many times it is not possible or efficient the computation of a factori…

arXiv AI Read →
◬ AI & Machine Learning Apr 14, 2026
OpeFlo: Automated UX Evaluation via Simulated Human Web Interaction with GUI Grounding

arXiv:2604.09581v1 Announce Type: new Abstract: Evaluating web usability typically requires time-consuming user studies and expert reviews, which often limits iteration speed during product developmen…

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◬ AI & Machine Learning Apr 14, 2026
OOWM: Structuring Embodied Reasoning and Planning via Object-Oriented Programmatic World Modeling

arXiv:2604.09580v1 Announce Type: new Abstract: Standard Chain-of-Thought (CoT) prompting empowers Large Language Models (LLMs) with reasoning capabilities, yet its reliance on linear natural language…

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◬ AI & Machine Learning Apr 14, 2026
Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement

arXiv:2604.09579v1 Announce Type: new Abstract: In large-scale cloud service platforms, thousands of customer tickets are generated daily and are typically handled through on-call dialogues. This high…

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◬ AI & Machine Learning Apr 14, 2026
Explainable Planning for Hybrid Systems

arXiv:2604.09578v1 Announce Type: new Abstract: The recent advancement in artificial intelligence (AI) technologies facilitates a paradigm shift toward automation. Autonomous systems are fully or part…

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◬ AI & Machine Learning Apr 14, 2026
AHC: Meta-Learned Adaptive Compression for Continual Object Detection on Memory-Constrained Microcontrollers

arXiv:2604.09576v1 Announce Type: new Abstract: Deploying continual object detection on microcontrollers (MCUs) with under 100KB memory requires efficient feature compression that can adapt to evolvin…

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◬ AI & Machine Learning Apr 14, 2026
Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization

arXiv:2604.09574v1 Announce Type: new Abstract: The rise of autonomous GUI agents has triggered adversarial countermeasures from digital platforms, yet existing research prioritizes utility and robust…

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◬ AI & Machine Learning Apr 14, 2026
Seven simple steps for log analysis in AI systems

arXiv:2604.09563v1 Announce Type: new Abstract: AI systems produce large volumes of logs as they interact with tools and users. Analysing these logs can help understand model capabilities, propensitie…

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◬ AI & Machine Learning Apr 14, 2026
Linear Programming for Multi-Criteria Assessment with Cardinal and Ordinal Data: A Pessimistic Virtual Gap Analysis

arXiv:2604.09555v1 Announce Type: new Abstract: Multi-criteria Analysis (MCA) is used to rank alternatives based on various criteria. Key MCA methods, such as Multiple Criteria Decision Making (MCDM) …

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◬ AI & Machine Learning Apr 14, 2026
LABBench2: An Improved Benchmark for AI Systems Performing Biology Research

arXiv:2604.09554v1 Announce Type: new Abstract: Optimism for accelerating scientific discovery with AI continues to grow. Current applications of AI in scientific research range from training dedicate…

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◬ AI & Machine Learning Apr 14, 2026
Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models

arXiv:2604.10893v1 Announce Type: new Abstract: Watermarking provides a critical safeguard for large language model (LLM) services by facilitating the detection of LLM-generated text. Correspondingly,…

arXiv Security Read →
◬ AI & Machine Learning Apr 14, 2026
Privacy as Permissible Operations: An ABAC Framework for Policy-Law Compliance

arXiv:2604.10832v1 Announce Type: new Abstract: In recent years, many countries have started enacting laws to safeguard privacy of personal data of their citizens collected and maintained by various e…

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◬ AI & Machine Learning Apr 14, 2026
Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game

arXiv:2604.10717v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems augment large language models with external knowledge, yet introduce a critical security vulnerability: RAG…

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◬ AI & Machine Learning Apr 14, 2026
COD-ssi: Enforcing Mutual Privacy for Credential Oblivious Disclosure in Self Sovereign Identity

arXiv:2604.10685v1 Announce Type: new Abstract: The Self-Sovereign Identity (SSI) paradigm is instrumental for decentralised identity management, allowing an entity to create, manage, and present thei…

arXiv Security Read →
◬ AI & Machine Learning Apr 14, 2026
Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models

arXiv:2604.10681v1 Announce Type: new Abstract: Large Language Models (LLMs), despite their impressive capabilities across domains, have been shown to be vulnerable to backdoor attacks. Prior backdoor…

arXiv Security Read →
◬ AI & Machine Learning Apr 14, 2026
Analyzing Vector Register Usage in Linux Packages to Understand Real-World Impact of Downfall Attack

arXiv:2604.10648v1 Announce Type: new Abstract: Downfall is a side-channel attack that leaks values in vector registers from a process to another on the same CPU core. This attack enables an attacker …

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◬ AI & Machine Learning Apr 14, 2026
DuCodeMark: Dual-Purpose Code Dataset Watermarking via Style-Aware Watermark-Poison Design

arXiv:2604.10611v1 Announce Type: new Abstract: The proliferation of large language models for code (CodeLMs) and open-source contributions has heightened concerns over unauthorized use of source code…

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◬ AI & Machine Learning Apr 14, 2026
The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents

arXiv:2604.10577v1 Announce Type: new Abstract: Computer-use agents (CUAs) can now autonomously complete complex tasks in real digital environments, but when misled, they can also be used to automate …

arXiv Security Read →
◬ AI & Machine Learning Apr 14, 2026
Machine Learning-Based Detection of MCP Attacks

arXiv:2604.10534v1 Announce Type: new Abstract: The Model Context Protocol (MCP) is a new and emerging technology that extends the functionality of large language models, improving workflows but also …

arXiv Security Read →
◬ AI & Machine Learning Apr 14, 2026
SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits

arXiv:2604.10522v1 Announce Type: new Abstract: Deepfake content on social networks is increasingly produced through multiple \emph{sequential} edits to biometric data such as facial imagery. Conseque…

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