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Safety

Pristine Models

DGX agent

arXiv:2610.14091v1 Announce Type: new Abstract: Training on broad, unfiltered data enables high-quality image generation, but can also teach models concepts that should not be generated; restricting t

safetyarxiv-cs-cv

14 Oct 2026

Model Releases

Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption

DGX agent

arXiv:2610.18054v1 Announce Type: cross Abstract: Anti-money laundering (AML) in financial networks requires modeling transaction patterns that span multiple institutions. In practice, however, banks

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Pristine Models

Privacy-Preserving GNN Inference on Financial Transaction Graphs via Homomorphic Encryption

Pro-t-VAE: Closed-Form Student's t Mixtures for Robust Prototype Discovery

Proactive Physical AI through Continuous Observation and Timely Intervention

ProAS: A Progress-Aware Advantage Shaping Framework for Multi-Turn Agentic Reinforcement Learning

Probabilistic Forecasting of Wildfire Size Using Conditional Flow Matching

Probabilistic Multi-Source Data Selection via Learnable Categorical Priors: Variance Reduction and Guaranteed Derandomization

Probabilistic Simulation of Gas-Liquid Interfaces with Coupled Flow Matching on Spherical Harmonics

ProbabilityBench: Model Evaluation and Calibration with Exact Ground-Truth Uncertainty

Probe and Skip: Self-Predictive Token Skipping for Efficient Long-Context LLM Inference

Probing and Inducing Clinical Modality Grounding in Brain Tumor Segmentation

Probing the Geometry of Color Representations in Multilingual Language Models

Process Rewards for Outcome-Guided Reasoning Steps in LLM Reinforcement Learning

ProGAN-Based Synthetic Image Generation for Industrial Visual Inspection of Metallic Parts

ProML: Progressive Multi-label Learning

ProMoDD: Dataset Distillation for 3D Human Motion via Prototype-Conditioned Diffusion Models

Prompt Interference in LLM Post-Training: Why Pass@k Optimization Can Degrade Pass@1

Prorsa: Unleashing the Potential of Prefill-Decode Disaggregation in Agentic Reinforcement Learning

Prospective Forcing: Learning to Look Ahead for Autoregressive Long Video Diffusion

Protein Crystallization Segmentation and Classification Using Subordinate Color Channel in Fluorescence Microscopy Images

Protocol Choices Matter More Than the Aggregation Algorithm: Federated Learning for In-Hospital Mortality Prediction in Care-Unit and Multi-Hospital Federations

ProTok: Unified Protein Tokenization via Modular Multi-Codebook Quantization

ProtoPur: Prototype-Purity Pseudo-Labeling for Weakly Supervised Instance Learning in Pathology

Provably scalable learning from quantum many-body data via locality

ProWorld: Multi-View World Model with Proprioceptive Feedback for Closed-Loop Policy Evaluation

PrT-Flow: Probability-Tractable Flow Matching for Reinforcement Learning

PsyBer-Agent: A Psychology-Driven User Agent for Recommender Systems

PTGPO: Prefix Tree Group Policy Optimization

PUGS: Physics-Guided Uncertainty Modeling for Underwater Dynamic 3D Gaussian Splatting

PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training

Push the Limit: Learning High-Speed Sprinting and Aggressive Cornering on a Full-Scale Humanoid

PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems

PVFH-Bench: Benchmarking Premise-Induced Visual Fixation Hallucinations in Vision-Language Models

Q-Save: Towards Scoring and Attribution for Generated Video Evaluation

QASA: Quality-Guided K-Adaptive Slot Attention for Unsupervised Object-Centric Learning

QBFF: Deep Quantum Bottleneck for Automatic Speaker Verification Anti-Spoofing

QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing

QSAR-Guided Generative Framework for the Discovery of Synthetically Viable Odorants

QTrack: Query-Driven Reasoning for Multi-modal MOT

QuAnTS: Question Answering on Time Series

Quantum-Classical Physics-Informed Neural Networks for Solving Reservoir Seepage Equations

Quasicrystal Architected Nanomechanical Resonators via Data-Driven Design

Query-Adaptive Neuron Steering for LLMs

RadarGSOcc: Doppler-Aware 3D Semantic Occupancy Prediction Using 4D Radar Tensor with Geometric-Semantic Feature Extraction

Radial Tail Repair: Post-Training Correction for Diffusion and Flow Models

RAGE: A Tightly Coupled Radar-Aided Grip Estimator For Autonomous Race Cars

RAIN: Robotic Task Generalization with Region-Aware Interaction Networks

Random Feature Pruning for Multi-Class Classification