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Safety

Distance Marching for Generative Modeling

DGX agent

arXiv:2602.02928v2 Announce Type: replace Abstract: Modern generative models based on diffusion or flow matching transport noise toward the data manifold, without representing the data manifold explic

safetyarxiv-cs-lg

14 Oct 2026

Research

Distance Prediction for Quantum Codes

DGX agent

arXiv:2610.18130v1 Announce Type: cross Abstract: The distance of a quantum code is a fundamental metric that dictates its error-correction capability. While quantum low-density parity-check (qLDPC) f

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Distance Marching for Generative Modeling

Distance Prediction for Quantum Codes

Distill3R: A Pipeline for Democratizing 3D Foundation Models on Commodity Hardware

Distributed area coverage path planning subject to the inclusion of a headland path

Distributional Regression for Arbitrary Response Variables Using ReLU Neural Networks

DiTSG: Context-Aware Air Traffic Scene Generation with Multi-Agent Diffusion Transformers

Diversity You Can Actually Measure: A Fast, Model-Free Diversity Metric for Robotics Datasets

dMRI-F: A Foundation Model for Generalizable Diffusion MRI Analysis from Sparse Acquisitions

Do Artificial Neural Networks Need Dendritic Nanotubes? Two Reasons for Shrinking Importance Estimates in Continual Learning

Do My Samples Help? Compute Budget Allocation for Real-World Sampling-Based MPC in Contact-Rich Manipulation

Does Pretraining Teach Chemical Language Models Chemistry?

Does Seeing More Mean Knowing More? Mono-Anchored Advantage Normalization for Multi-Source Visual Reasoning

Does self-distillation improve reasoning?

Does System One Transfer? Calibrated Typed-Decision Models, Label Budgets, and Translation for Indonesian Regional Languages

Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs

DoSA: Dots Sparse Attention

DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning

DPAL: A Test-Time Adaptation Loss for Financial Time Series Forecasting

DPOison-VL: Clean Preference Poisoning in Vision-Language Direct Preference Optimization

DR-APO: Decoupled-Representation Advantage-Guided Policy Optimization from Continuous Control to Embodied Navigation

DR-VLA: Learning Human-Like Quadruped Navigation from Egocentric Web Videos via Domain-Invariant Scene Representations

Drafting Agents, Not Just Tokens: Speculative Recursive Self-Improvement for Agentic Systems

DRanker: A Transformer-Based Multi-Task Ranking Model for the Disney+ Homepage

Dream2Discern: Learning from Hard Latent Variants for Runtime Failure Prediction in Multi-Agent Systems

DreamWorld: Unified World Modeling in Video Generation

Drift, Then Spread: Learning One-Step Generative Policies for Online Reinforcement Learning

Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving

DriveWLA: Unifying Future Dynamics and Scene Semantics through World-Language-Action Modeling for Autonomous Driving

DRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking

DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence Environments

DShuttleNet: A Badminton Doubles Dataset for Evaluating Team Coordination

DSM-Free UAV Visual Localization via Latent-Depth Variable Projection and Structure-Adaptive Coupling

DSR-Net: Learning Dynamic Skeletal Relations for 3D Human Pose Estimation

DT-LoRA: Reaching Beyond the Tangent Space of Low-Rank Adaptation

DTA-GT: Direction- and Topology-Aware Graph Transformer for Neural Network Representation Learning

Dual-Domain Sparse-View 4D CBCT Reconstruction with Spatial-Temporal Consistency Learning

DuplexBridge: Coordinating Understanding and Generation for Unified Image Editing

DuSRFlow: Dual-Lens Super-Resolution via Parallax-Aware Flow Estimation and Complementary Reference Warping

DVTR-KD: Distilling Vision-Language Models via Intermediate Visual Token Reconstruction

DWI Connectome-based Sex Classification in Young using Supervised Variational Autoencoder

DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay

Dynamic Interpolation for Training-Time Prediction Reshaping in Low-Light Image Enhancement

Dynamic K-Head: Difficulty-Supervised Budget Selection for Continuous Latent Reasoning

e1: Learning Adaptive Control of Reasoning Effort

E8 Lattice Key Quantization for Low-Bit KV-Cache Compression

Early Detection of Pension-Sponsor Distress from Public Filings: A Sponsor Vulnerability Index, Stress-Augmented VaR, and Dynamic Self-Investment Caps

EarthAlign: Learning Language-Aligned Representations of Earth System Data

EAU: Environment-Agent-User Co-evolution for Training User-Centric Agents