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Research

Infinitesimal Causality

DGX agent

arXiv:2606.24621v1 Announce Type: cross Abstract: This paper introduces a categorical account of infinitesimal causality in Frobenius Markov categories equipped with tangent-bundle semantics. IDC capt

researcharxiv-cs-ai

24 Jun 2026

Research

Measuring User's Mental Models of Speech Translation in Human-AI Collaboration

DGX agent

arXiv:2606.24644v1 Announce Type: new Abstract: Millions of people use machine translation (MT) tools daily, yet little is known about their perception of what systems can and cannot do. This paper st

Search: “papers”

Infinitesimal Causality

Measuring User's Mental Models of Speech Translation in Human-AI Collaboration

Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles

One Ruler: A Same-Hands Re-Evaluation of Bivariate Causal Direction on Tuebingen, with a Parameter-Free Compression Baseline

Topological Online Learning for Displacement-based Formation Control

Uniform Sampling from High-dimensional Spectral Norm Balls

UOL@IDEM at BEA 2026 Shared Task 1: Neural Fusion and Feature-Rich Modeling for L1-Aware Vocabulary Difficulty Prediction

Varying Bundle Size Reactive Multi-Task Assignment using Selective Cost Estimation for Multi-Agent Systems

VisChronos: Revolutionizing Image Captioning Through Real-Life Events

Which Spaces can be Embedded in L_p-type Reproducing Kernel Banach Space? A Characterization via Metric Entropy

A Reward-Petri-Net Interpretation of Temporal Behavior Trees

A Test-time Actor-Critic Approach to News Images Generation

Achieving widetilde{O}(1/epsilon) Sample Complexity for Bilinear Systems Identification under Bounded Noises

An Analysis of Untrained Deep Reservoir Networks for Audio Surveillance

BEV-Denoise: Learning Intrinsic Noise for Accurate Bird's-Eye-View Semantic Segmentation

Bracing for Impact: Robust Humanoid Push Recovery and Locomotion with Reduced Order Models

Bridging Semantics and Kinematics: A Modular Framework for Zero-Shot Robotic Manipulation

Conformal and kNN Predictive Uncertainty Quantification Algorithms in Metric Spaces

Convergence Analysis of Nystrom Subsampling in Covariate Shift Adaptation for Misspecified case

Data Evolution by Wittgenstein's Rule Following

Deep Learning for Individual Heterogeneity

Direct Raw Audio Signal Processing via Reservoir Computing: An Investigation into 'Feature-Free' Architectures

Discrete Geometric Modeling and Extended State Estimation of Continuum Robots

DR-Mamba: Automatic Inference-Time Domain Adaptation for Document Image Binarization via Sample-Conditioned Detail-Background Suppression

Dual-Stream EEG Decoding for 3D Visual Perception

Dynamics, stability, and energy efficiency of an energy-recycling rimless wheel with spring-clutch legs

Enhancing IMU-Based Online Handwriting Recognition via Contrastive Learning with Zero Inference Overhead

Frequency Response Identification of Low-Order Systems: Finite-Sample Analysis

Full Nonlinear Nonholonomic Dynamics and Motion Analysis of a 3-DoF Underactuated Spherical Rolling Robot

Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems

Generating Fearful Images: Investigating Potential Emotional Biases in Image-Generation Models

GenTrack: A New Generation of Multi-Object Tracking

Kiwano: A Cutting-Edge Open-Source Toolkit for Speaker Verification

Learning-Augmented Algorithms for Online Vertex Cover

LLM-Based Generalizable Hierarchical Task Planning and Execution for Heterogeneous Robot Teams with Event-Driven Replanning

Non-asymptotic estimates of the minimal risk in statistical learning

PenduMorph: Development and Motion Analysis of Pendulum-Actuated Rolling Reconfigurable Spherical Robot with Magnetic-Coupling

Position: Correct Answer, Wrong Mechanism -- When AI Scientists Defend General Claims Their Own Data Contradicts

Robust 3DGS-based SLAM via Adaptive Kernel Smoothing

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity

Streaming Dense Voxel Representations for 3D Occupancy Prediction

SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations

Tessellated Biomes: Distributed Robotic Assemblies for Architectural Resilience

The New Associationism: Lessons from Deep Learning

Towards a Novel Wearable Robotic Vest for Hemorrhage Suppression

TSD: A Physics-Inspired Trajectory Saliency Detector for Efficient Imitation Learning

Understanding Parallel Samplers in Masked Diffusion via Random Walks on Graphs

Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability