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◬ AI & Machine Learning Apr 09, 2026
Riemann-Bench: A Benchmark for Moonshot Mathematics

arXiv:2604.06802v1 Announce Type: new Abstract: Recent AI systems have achieved gold-medal-level performance on the International Mathematical Olympiad, demonstrating remarkable proficiency at competi…

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◬ AI & Machine Learning Apr 09, 2026
FVD: Inference-Time Alignment of Diffusion Models via Fleming-Viot Resampling

arXiv:2604.06779v1 Announce Type: new Abstract: We introduce Fleming-Viot Diffusion (FVD), an inference-time alignment method that resolves the diversity collapse commonly observed in Sequential Monte…

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◬ AI & Machine Learning Apr 09, 2026
TurboAgent: An LLM-Driven Autonomous Multi-Agent Framework for Turbomachinery Aerodynamic Design

arXiv:2604.06747v1 Announce Type: new Abstract: The aerodynamic design of turbomachinery is a complex and tightly coupled multi-stage process involving geometry generation, performance prediction, opt…

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◬ AI & Machine Learning Apr 09, 2026
Steering the Verifiability of Multimodal AI Hallucinations

arXiv:2604.06714v1 Announce Type: new Abstract: AI applications driven by multimodal large language models (MLLMs) are prone to hallucinations and pose considerable risks to human users. Crucially, su…

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◬ AI & Machine Learning Apr 09, 2026
ATANT: An Evaluation Framework for AI Continuity

arXiv:2604.06710v1 Announce Type: new Abstract: We present ATANT (Automated Test for Acceptance of Narrative Truth), an open evaluation framework for measuring continuity in AI systems: the ability to…

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◬ AI & Machine Learning Apr 09, 2026
AgentGate: A Lightweight Structured Routing Engine for the Internet of Agents

arXiv:2604.06696v1 Announce Type: new Abstract: The rapid development of AI agent systems is leading to an emerging Internet of Agents, where specialized agents operate across local devices, edge node…

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◬ AI & Machine Learning Apr 09, 2026
Reasoning Fails Where Step Flow Breaks

arXiv:2604.06695v1 Announce Type: new Abstract: Large reasoning models (LRMs) that generate long chains of thought now perform well on multi-step math, science, and coding tasks. However, their behavi…

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◬ AI & Machine Learning Apr 09, 2026
KD-MARL: Resource-Aware Knowledge Distillation in Multi-Agent Reinforcement Learning

arXiv:2604.06691v1 Announce Type: new Abstract: Real world deployment of multi agent reinforcement learning MARL systems is fundamentally constrained by limited compute memory and inference time. Whil…

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◬ AI & Machine Learning Apr 09, 2026
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability

arXiv:2604.06628v1 Announce Type: new Abstract: A prevailing narrative in LLM post-training holds that supervised finetuning (SFT) memorizes while reinforcement learning (RL) generalizes. We revisit t…

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◬ AI & Machine Learning Apr 09, 2026
On Emotion-Sensitive Decision Making of Small Language Model Agents

arXiv:2604.06562v1 Announce Type: new Abstract: Small language models (SLM) are increasingly used as interactive decision-making agents, yet most decision-oriented evaluations ignore emotion as a caus…

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◬ AI & Machine Learning Apr 09, 2026
BDI-Kit Demo: A Toolkit for Programmable and Conversational Data Harmonization

arXiv:2604.06405v1 Announce Type: new Abstract: Data harmonization remains a major bottleneck for integrative analysis due to heterogeneity in schemas, value representations, and domain-specific conve…

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◬ AI & Machine Learning Apr 09, 2026
ProofSketcher: Hybrid LLM + Lightweight Proof Checker for Reliable Math/Logic Reasoning

arXiv:2604.06401v1 Announce Type: new Abstract: The large language models (LLMs) might produce a persuasive argument within mathematical and logical fields, although such argument often includes some …

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◬ AI & Machine Learning Apr 09, 2026
Qualixar OS: A Universal Operating System for AI Agent Orchestration

arXiv:2604.06392v1 Announce Type: new Abstract: We present Qualixar OS, the first application-layer operating system for universal AI agent orchestration. Unlike kernel-level approaches (AIOS) or sing…

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◬ AI & Machine Learning Apr 09, 2026
SELFDOUBT: Uncertainty Quantification for Reasoning LLMs via the Hedge-to-Verify Ratio

arXiv:2604.06389v1 Announce Type: new Abstract: Uncertainty estimation for reasoning language models remains difficult to deploy in practice: sampling-based methods are computationally expensive, whil…

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◬ AI & Machine Learning Apr 09, 2026
SymptomWise: A Deterministic Reasoning Layer for Reliable and Efficient AI Systems

arXiv:2604.06375v1 Announce Type: new Abstract: AI-driven symptom analysis systems face persistent challenges in reliability, interpretability, and hallucination. End-to-end generative approaches ofte…

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◬ AI & Machine Learning Apr 09, 2026
Weakly Supervised Distillation of Hallucination Signals into Transformer Representations

arXiv:2604.06277v1 Announce Type: new Abstract: Existing hallucination detection methods for large language models (LLMs) rely on external verification at inference time, requiring gold answers, retri…

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◬ AI & Machine Learning Apr 09, 2026
Toward Reducing Unproductive Container Moves: Predicting Service Requirements and Dwell Times

arXiv:2604.06251v1 Announce Type: new Abstract: This article presents the results of a data science study conducted at a container terminal, aimed at reducing unproductive container moves through the …

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◬ AI & Machine Learning Apr 09, 2026
Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules

arXiv:2604.06233v1 Announce Type: new Abstract: Safety-trained language models routinely refuse requests for help circumventing rules. But not all rules deserve compliance. When users ask for help eva…

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◬ AI & Machine Learning Apr 09, 2026
High-Precision Estimation of the State-Space Complexity of Shogi via the Monte Carlo Method

arXiv:2604.06189v1 Announce Type: new Abstract: Determining the state-space complexity of the game of Shogi (Japanese Chess) has been a challenging problem, with previous combinatorial estimates leavi…

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◬ AI & Machine Learning Apr 09, 2026
SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems

arXiv:2604.06811v1 Announce Type: new Abstract: Skill-based agent systems tackle complex tasks by composing reusable skills, improving modularity and scalability while introducing a largely unexamined…

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◬ AI & Machine Learning Apr 09, 2026
ARuleCon: Agentic Security Rule Conversion

arXiv:2604.06762v1 Announce Type: new Abstract: Security Information and Event Management (SIEM) systems make it possible for detecting intrusion anomalies in real-time manner by their applied securit…

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◬ AI & Machine Learning Apr 09, 2026
Understanding Data Collection, Brokerage, and Spam in the Lead Marketing Ecosystem

arXiv:2604.06759v1 Announce Type: new Abstract: The lead marketing ecosystem enables collection, sale, and use of personal data submitted via web forms to deliver personalized quotes in high-value ver…

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◬ AI & Machine Learning Apr 09, 2026
Turn Your Face Into An Attack Surface: Screen Attack Using Facial Reflections in Video Conferencing

arXiv:2604.06729v1 Announce Type: new Abstract: In video conferencing, human faces serve as the primary visual focal points, playing multifaceted roles that enhance visual communication and emotional …

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◬ AI & Machine Learning Apr 09, 2026
Broken Quantum: A Systematic Formal Verification Study of Security Vulnerabilities Across the Open-Source Quantum Computing Simulator Ecosystem

arXiv:2604.06712v1 Announce Type: new Abstract: Quantum computing simulators form the classical software foundation on which virtually all quantum algorithm research depends. We present Broken Quantum…

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