AI News

Self-Replicating Neural Cellular Automata: Quantifying Emergent Phenotypic and Genotypic Diversity in an OpenEnded Substrate (arxiv.org)

Delphi Scanner: efficient and interpretable static malware detection via API sequence modeling (arxiv.org)

Lens: Bringing the Right Semantic Perspective into Focus for Training-Free Multimodal Representation Learning (arxiv.org)

From "Who Is This User?" to "What Does This Purchase Mean?": A Deployed Pipeline for Semantic User Profiling at Bank Scale (arxiv.org)

Stringological sequence prediction III: layered ziplines and a tradeoff between efficiency and expressivity (arxiv.org)

Intrinsic Sequence-Likelihood Confidence in Retrieval-Dominated Extractive QA: Two Pre-Specified Negatives, and What They Do and Do Not Attribute (arxiv.org)

Quantum Graph Convolutional Networks: Implementation and Trainability Analysis (arxiv.org)

Self-complementary completions on six vertices (arxiv.org)

Steering Equilibrium Selection in Regularized Self-Play via the Reference Policy (arxiv.org)

Contagion on the Trading Floor: How Adversarial Signals Spread in Multi-Agent Trading Systems (arxiv.org)

Rethinking Multi-Agent Collaboration: When More Is Less (arxiv.org)

Robust Conformal Intrusion Detection via Traffic-Aware Calibration and Attack-Orbit Invariance (arxiv.org)

Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation (arxiv.org)

GAVEL: Graph World Models for Verified and Efficient Long-Horizon LLM Task Planning (arxiv.org)

Steering Equilibrium Selection in Regularized Self-Play via the Reference Policy (arxiv.org)

HyperAMS-Net: Adaptive Multi-Scale Spatial Hypergraph Network for Brain Disorder Classification (arxiv.org)

Federated Learning Framework for Privacy-Preserving Kidney Stone Detection (arxiv.org)

ALIBI: Adversarial Legitimacy Injection in Binary Input against LLM Malware Analyzers (arxiv.org)

AUDITPLAN: Commit, Then Answer for Auditable Safety Alignment (arxiv.org)

AutoData: Agentic Search for Pre-training Data Selection (arxiv.org)

LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents (arxiv.org)

FINSKILLOPS: A Self-Evolving Multi-Agent System for SEC Filing QA (arxiv.org)

When2Think: Learning Difficulty-Aware Length Control for Efficient Hybrid Reasoning Models (arxiv.org)

Deep Learning Detection of Beyond-General-Relativity Deviations in Gravitational-Wave Signals: A Detection-Threshold Study with Real LIGO Noise (arxiv.org)

EmbodiedMind: Adaptive Data Curation and Prefix-Tree Reinforcement Learning for Efficient Embodied Intelligence (arxiv.org)

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving (arxiv.org)

Closed-World Resolution Against Tool Hallucination in LLM Agents (arxiv.org)

Agile-WAM: An Agile Tactile World Action Model for Contact-Rich Robot Control (arxiv.org)

OPTED: On-Policy Fine-Tuning for End-to-End Driving using a Render-Free Teacher (arxiv.org)

TorchCraft: Unified binder design by inverting an all-atom structure predictor (arxiv.org)

MILER: Semantic Mid-Level Representation for Sim-to-Real Reinforcement Learning in Unstructured Autonomous Driving (arxiv.org)

dQwen3.5: Hybrid-Attention Diffusion Language Models (arxiv.org)

Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks (arxiv.org)

REARL: A Closed-loop Autonomous Driving Simulation Enhancement Framework with Real Traffic Data and Large Language Models (arxiv.org)

Online Adaptive Kernel Mixing for Gaussian Process Decision Making (arxiv.org)

Uni-LaDiR: Latent Diffusion Unifies Multimodal Reasoning (arxiv.org)

Stable Movement for Nondual Lipschitz Convex Optimization: Efficiency and Nearly Optimal Oracle Rates (arxiv.org)

AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection (arxiv.org)

Pretrained Medical Representations for the Practical Screening of Drug Repositioning Candidates (arxiv.org)

Digital Twins for Opinion Dynamics: A Generative LLM Framework for Social Networks (arxiv.org)

Expected Hypervolume Maximization for Multiobjective Optimization under Uncertainties (arxiv.org)

Beyond Flattened Tokens: Structure-Preserving EEG Decoding with Reusable TriDim Blocks (arxiv.org)

A Scalable Trust Discovery Architecture for the Internet of Agents (arxiv.org)

MATCH: Model-Aware Tool Learning with Curriculum Scheduling and Hierarchically Gated Rewards (arxiv.org)

Reading Emotions in the Token Space: Discriminative Adaptation of SpeechLLMs for Emotion Recognition (arxiv.org)

Scene-Conditioned Relation Routing for urban cellular activity forecasting (arxiv.org)

PointEvent: Rethinking Event-based Tiny Object Detection via Serialized Motion Evidence Accumulation (arxiv.org)

TetrisCNN for interpretable detection of phases of matter from experimental quantum simulator data (arxiv.org)

DeliveryGym: An RL Environment for Long-Horizon Embodied Agent Planning with Adaptive Curriculum (arxiv.org)

Learning-Based Reconstruction of Optical Properties in Bilayered Media from Single-distance Time-Resolved Reflectance Measurements (arxiv.org)