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◬ AI & Machine Learning Mar 30, 2026
MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training

arXiv:2603.25813v1 Announce Type: cross Abstract: We present MAGNET (Model Autonomously Growing Network), a decentralized system for autonomous generation, training, and serving of domain-expert langu…

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◬ AI & Machine Learning Mar 30, 2026
Beyond identifiability: Learning causal representations with few environments and finite samples

arXiv:2603.25796v1 Announce Type: cross Abstract: We provide explicit, finite-sample guarantees for learning causal representations from data with a sublinear number of environments. Causal representa…

arXiv AI Read →
◬ AI & Machine Learning Mar 30, 2026
Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations

arXiv:2603.25779v1 Announce Type: cross Abstract: Groundwater represents a key element of the water cycle, yet it exhibits intricate and context-dependent relationships that make its modeling a challe…

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◬ AI & Machine Learning Mar 30, 2026
Challenges and opportunities for AI to help deliver fusion energy

arXiv:2603.25777v1 Announce Type: cross Abstract: There is great potential for the application of AI tools in fusion research, and substantial worldwide benefit if fusion power is realised. However, u…

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◬ AI & Machine Learning Mar 30, 2026
Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control

arXiv:2603.25771v1 Announce Type: cross Abstract: Reinforcement learning (RL), owing to its adaptability to various dynamic systems in many real-world scenarios and the capability of maximizing long-t…

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◬ AI & Machine Learning Mar 30, 2026
ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation

arXiv:2603.25770v1 Announce Type: cross Abstract: Large Language Models (LLMs) have recently emerged as capable coding assistants that operate over large codebases through either agentic exploration o…

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◬ AI & Machine Learning Mar 30, 2026
IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution

arXiv:2603.25769v1 Announce Type: cross Abstract: Large language models (LLMs) have shown promise in generating RTL code from natural-language descriptions, but existing methods remain static and stru…

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◬ AI & Machine Learning Mar 30, 2026
UCAgent: An End-to-End Agent for Block-Level Functional Verification

arXiv:2603.25768v1 Announce Type: cross Abstract: Functional verification remains a critical bottleneck in modern IC development cycles, accounting for approximately 70% of total development time in m…

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◬ AI & Machine Learning Mar 30, 2026
Unlocking Strong Supervision: A Data-Centric Study of General-Purpose Audio Pre-Training Methods

arXiv:2603.25767v1 Announce Type: cross Abstract: Current audio pre-training seeks to learn unified representations for broad audio understanding tasks, but it remains fragmented and is fundamentally …

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◬ AI & Machine Learning Mar 30, 2026
ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models

arXiv:2603.25766v1 Announce Type: cross Abstract: The integration of Vision-Language-Action (VLA) models into autonomous driving systems offers a unified framework for interpreting complex scenes and …

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◬ AI & Machine Learning Mar 30, 2026
Consistency Amplifies: How Behavioral Variance Shapes Agent Accuracy

arXiv:2603.25764v1 Announce Type: cross Abstract: As LLM-based agents are deployed in production systems, understanding their behavioral consistency (whether they produce similar action sequences when…

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◬ AI & Machine Learning Mar 30, 2026
A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning

arXiv:2603.25758v1 Announce Type: cross Abstract: Diffusion models have significantly reshaped the field of generative artificial intelligence and are now increasingly explored for their capacity in d…

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◬ AI & Machine Learning Mar 30, 2026
Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models

arXiv:2603.25750v1 Announce Type: cross Abstract: As the paradigm of AI shifts from text-based LLMs to Speech Language Models (SLMs), there is a growing demand for full-duplex systems capable of real-…

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◬ AI & Machine Learning Mar 30, 2026
A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems

arXiv:2603.25749v1 Announce Type: cross Abstract: Arc-fault circuit interrupters (AFCIs) are essential for mitigating fire hazards in residential photovoltaic (PV) systems, yet achieving reliable DC a…

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◬ AI & Machine Learning Mar 30, 2026
DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design

arXiv:2502.09867v2 Announce Type: cross Abstract: Generative AI has enabled novice designers to quickly create professional-looking visual representations for product concepts. However, novices have l…

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◬ AI & Machine Learning Mar 30, 2026
Stabilizing Rubric Integration Training via Decoupled Advantage Normalization

arXiv:2603.26535v1 Announce Type: new Abstract: We propose Process-Aware Policy Optimization (PAPO), a method that integrates process-level evaluation into Group Relative Policy Optimization (GRPO) th…

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◬ AI & Machine Learning Mar 30, 2026
CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation

arXiv:2603.26512v1 Announce Type: new Abstract: Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or rely on lossy visual feedback that cannot …

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◬ AI & Machine Learning Mar 30, 2026
AIRA_2: Overcoming Bottlenecks in AI Research Agents

arXiv:2603.26499v1 Announce Type: new Abstract: Existing research has identified three structural performance bottlenecks in AI research agents: (1) synchronous single-GPU execution constrains sample …

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◬ AI & Machine Learning Mar 30, 2026
GUIDE: Resolving Domain Bias in GUI Agents through Real-Time Web Video Retrieval and Plug-and-Play Annotation

arXiv:2603.26266v1 Announce Type: new Abstract: Large vision-language models have endowed GUI agents with strong general capabilities for interface understanding and interaction. However, due to insuf…

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◬ AI & Machine Learning Mar 30, 2026
Semi-Automated Knowledge Engineering and Process Mapping for Total Airport Management

arXiv:2603.26076v1 Announce Type: new Abstract: Documentation of airport operations is inherently complex due to extensive technical terminology, rigorous regulations, proprietary regional information…

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◬ AI & Machine Learning Mar 30, 2026
AutoB2G: A Large Language Model-Driven Agentic Framework For Automated Building-Grid Co-Simulation

arXiv:2603.26005v1 Announce Type: new Abstract: The growing availability of building operational data motivates the use of reinforcement learning (RL), which can learn control policies directly from d…

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◬ AI & Machine Learning Mar 30, 2026
BeSafe-Bench: Unveiling Behavioral Safety Risks of Situated Agents in Functional Environments

arXiv:2603.25747v1 Announce Type: new Abstract: The rapid evolution of Large Multimodal Models (LMMs) has enabled agents to perform complex digital and physical tasks, yet their deployment as autonomo…

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◬ AI & Machine Learning Mar 30, 2026
SmartGraphical: A Human-in-the-Loop Framework for Detecting Smart Contract Logical Vulnerabilities via Pattern-Driven Static Analysis and Visual Abstraction

arXiv:2603.08580v2 Announce Type: replace Abstract: Smart contracts are fundamental components of blockchain ecosystems; however, their security remains a critical concern due to inherent vulnerabilit…

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◬ AI & Machine Learning Mar 30, 2026
Kraken: Higher-order EM Side-Channel Attacks on DNNs in Near and Far Field

arXiv:2603.02891v3 Announce Type: replace Abstract: The multi-million dollar investment required for modern machine learning (ML) has made large ML models a prime target for theft. In response, the fi…

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