AI News

Carpe Diem: Critical Learning Period-Aware Contract-Based Incentives for Federated Learning (arxiv.org)

PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest (arxiv.org)

Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support (arxiv.org)

Singular value soft-thresholding via the polar decomposition (arxiv.org)

TRACE-ROUTER: Task-Consistent and Adaptive Online Routing for Agentic AI (arxiv.org)

Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability (arxiv.org)

Reflector: Arrangement-Aware Harmonic Retrieval for Sample-Based Composition (arxiv.org)

Universal BCI Personalization: One API for Frozen EEG Trunks and Foundation Models (arxiv.org)

HiKV: Hierarchical Importance-Aware KV Cache with Hardware Acceleration for LLM Decoding (arxiv.org)

Agentic Root Cause Analysis through Evidence-Grounded Reasoning (arxiv.org)

Deep Convolutional Large-Margin $\ell_p$-SVDD for Visual Anomaly Detection (arxiv.org)

Bowel Obstruction Detection and Localization on Abdominal CT with Deep Learning (arxiv.org)

DBA-Bench: A Production-Fidelity Benchmark for LLM-Based Database Operations Agents (arxiv.org)

Industrial Tokenization for LLM-Based Health Intelligence: A Federated Architecture for Industrial Evidence Integration (arxiv.org)

CARDIAG: A Dense Segment Classification Benchmark of Deep Learning Architectures for Coronary Angiography (arxiv.org)

Layer-wise LoRA fine-tuning: a similarity metric approach (arxiv.org)

One Hand Watches The Other: Dynamic Multi-Agent Cooperation for Sample-Efficient Bimanual Manipulation in Dynamic Environments (arxiv.org)

Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reasoning Models (arxiv.org)

MemNMF: Memory-Augmented NMF on LPC Spectra for Anomalous Sound Detection (arxiv.org)

Rethinking Multi-Branch and Cross-Backbone Fusion for Vehicle Re-Identification in the Foundation-Model Era (arxiv.org)

Small Vision-Language Models Know When They Are Wrong But Cannot Say So: A Two-Model Study of Stated versus Internal Confidence Under Realistic Image Degradation (arxiv.org)

QC-PHAST Search: Classical--Quantum Query Benchmarks for Finite-Pool Rare-Regime Discovery (arxiv.org)

Unified Static-Dynamic Pruning for Efficient LLM Inference (arxiv.org)

Farmland Extent and Visible Boundary Mapping from 1 m NAIP Imagery Using Residual U-Net and Text-Prompted SAM 3 Refinement (arxiv.org)

Quantifying Political Partisanship for Cross-Platform Analyses (arxiv.org)

Certified in Theory, Broken in Practice: Assumption Gaps in Cryptographic Model Certification (arxiv.org)

How Do AI Coding Agents Contribute to Software Development? an Empirical Study of Agentic Pull Requests (arxiv.org)

Probing Speaker Identity Sensitivity in Audio Deepfake Detectors (arxiv.org)

Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos (arxiv.org)

From Seasonality to Semantics: Benchmarking a Hybrid Probabilistic Forecasting System for Roadblocks in Bolivia (arxiv.org)

Reliability-Aware Bayesian Optimization of 1310 nm PCSELs with FDTD Verification (arxiv.org)

Encoding orders and trees in real-valued functions (arxiv.org)

Dysphagia Risk Stratification in Head and Neck Cancer via Two-Stage PRO-Clinical Stacking (arxiv.org)

Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes (arxiv.org)

Smart predict-then-robustly-optimize (arxiv.org)

Parameter-free Adaptive Sparse Attention via Compression-Based Content Selection (arxiv.org)

RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory (arxiv.org)

MA-DAR: Manifold-Aligned Dynamic Adaptive Routing for Continual Temporal Knowledge Graph Reasoning (arxiv.org)

Learning What Matters: Supervising Sparse Attention Routing with Causal Evidence Sets (arxiv.org)

CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting (arxiv.org)

Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRA (arxiv.org)

Neural Feature Governance: Extending Atom Prevalence (arxiv.org)

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction (arxiv.org)

Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning (arxiv.org)

Shallower ReLU Network Representations via Exact Linear Algebra (arxiv.org)

A Drift Stable Quantum Federated Learning for Intelligent Services (arxiv.org)

Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning (arxiv.org)

Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do Not (arxiv.org)

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations (arxiv.org)

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning (arxiv.org)