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Object-Uni: A Unified Model for Object-Centric Spatial Understanding and Controllable Generation

arXiv:2608.22757v1 Announce Type: cross Abstract: Unified models for visual understanding and generation have made rapid progress, yet they still lack the ability to understand and manipulate the spat

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Local Ai

Obstacle Avoidance of UAV in Dynamic Environments Using Direction and Velocity-Adaptive Artificial Potential Field

DGX agent

arXiv:2512.07609v3 Announce Type: replace-cross Abstract: The conventional Artificial Potential Field (APF) is fundamentally limited by the local minima issue and its inability to account for the kine

local-aiarxiv-cs-ro

25 Aug 2026

ODG-NoMaD: Overhead-Camera Direction-Guided NoMaD

arXiv:2608.21395v1 Announce Type: cross Abstract: NoMaD [31] is a learned vision-navigation policy that unifies goal-conditioned navigation and exploration in a single goal-masked diffusion policy. In

safetyarxiv-cs-ai

OmicSync: Reliability-Aware Spatial Multi-Omics Clustering with Evidence-Constrained LLM Reasoning

arXiv:2608.22785v1 Announce Type: new Abstract: Spatial multi-omics technologies jointly profile gene expression, surface proteins, and histology at each tissue spot, yet most spatial domain discovery

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models

model-releasesarxiv-cs-cl

arXiv:2508.07173v3 Announce Type: replace Abstract: Omni-modal Large Language Models (OLLMs) that integrate visual, auditory, and textual processing face severe safety risks. They exhibit fragile defe

OmniCAD: A Large-Scale Benchmark for 3D Spatial Reasoning in Robotics Assemblies

model-releasesarxiv-cs-cv

arXiv:2608.22637v1 Announce Type: new Abstract: Recent vision-language models (VLMs) show strong capabilities in robotic perception and spatial reasoning, yet their ability to reason about complex mec

On Predicting Vulnerability Severity Using In-Context Learning: An Industrial Case Study

arXiv:2608.22089v1 Announce Type: cross Abstract: Modern software systems require earlier and more scalable vulnerability severity assessment to reduce exposure to high-impact security flaws. Security

On Tensor-Based PDEs and their Corresponding Variational Formulations with Application to Color Image Denoising

arXiv:2608.22302v1 Announce Type: new Abstract: The case when a partial differential equation (PDE) can be considered as an Euler-Lagrange (E-L) equation of an energy functional, consisting of a data

On the Capability Separation Between World-Model Policy Learning and Imitated World-Action Models

arXiv:2608.22197v1 Announce Type: new Abstract: World-action models predict a future outcome and then infer an associated action. Although this factorization can improve representation learning and da

safetyarxiv-cs-lg

Hardware

On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising

arXiv:2608.22314v1 Announce Type: new Abstract: Many image processing methods such as corner detection, optical flow and iterative enhancement make use of image tensors. Generally, these tensors are e

hardwarearxiv-cs-cv

On the Convergence of Single-Loop Stochastic Bilevel Optimization with Approximate Implicit Differentiation

arXiv:2602.23633v2 Announce Type: replace Abstract: Stochastic Bilevel Optimization has emerged as a fundamental framework for meta-learning and hyperparameter optimization. Despite the practical prev

On the Optimized Use of Non-Orthonormality Constraints for the Quasi-Static INS Alignment of Autonomous Underwater and Surface Vehicles

arXiv:2608.21390v1 Announce Type: new Abstract: Inertial navigation systems are specialized navigation apparatuses that equip almost all autonomous underwater and surface vehicles. They require precis

safetyarxiv-cs-ro

On the Role of Citations in Preference Data

arXiv:2608.21376v1 Announce Type: cross Abstract: Many NLP tasks require systems to provide attribution in their outputs--i.e. citations to grounding sources. Attribution serves as a bulwark against m

On the Threat Model of Weird Generalization and Emergent Misalignment

arXiv:2608.23476v1 Announce Type: new Abstract: Narrow fine-tuning on small, domain-specific datasets can produce broad and surprising changes in model behavior-a phenomenon called weird generalizatio

researcharxiv-cs-cl

One Inverse Step is a Convex Program: Bayes-Limit Calibration of Diffusion Inversion

arXiv:2608.23094v1 Announce Type: cross Abstract: One implicit DDIM inversion step is the cheapest probe of whether a pretrained diffusion model encodes local manifold geometry. It is the stationarity

local-aiarxiv-cs-lg

One Polluted Page Is Enough: Evaluating Web Content Pollution in LLM Recommenders

arXiv:2606.13610v2 Announce Type: replace-cross Abstract: Search-augmented LLMs increasingly mediate everyday consumer recommendations by retrieving live web content. This creates a new risk: LLM reco

One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing

arXiv:2511.12484v2 Announce Type: replace-cross Abstract: With the integration of massive distributed energy resources and the widespread participation of novel market entities, the operation of activ

agentsarxiv-cs-ai

One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs

arXiv:2608.22026v1 Announce Type: new Abstract: Accurate simulation of the long-time evolution of systems governed by partial differential equations (PDEs) is central to scientific computing. Among ex

OpenSCvx: An Open-Source Modular and Extensible Nonlinear Trajectory Planning Package

arXiv:2608.21631v1 Announce Type: new Abstract: Trajectory optimization computes dynamically feasible motions that enable autonomous systems to accomplish complex tasks while satisfying operational an

agentsarxiv-cs-ro

Operational digital twin clinics enable task-based evaluation of embodied AI

arXiv:2608.21416v1 Announce Type: cross Abstract: Embodied artificial intelligence (AI) must be tested in the clinical environments where it will operate, but building realistic, robot-testable settin

local-aiarxiv-cs-ai

Opportunities and Challenges of Natural Language Processing for Low-Resource Senegalese Languages in Social Science Research

arXiv:2601.09716v2 Announce Type: replace Abstract: Natural Language Processing (NLP) is rapidly transforming research methodologies across disciplines, yet African languages remain largely underrepre

researcharxiv-cs-cl

Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime

arXiv:2509.16977v2 Announce Type: replace Abstract: Handwritten Text Recognition (HTR) is a task of central importance in the field of document image understanding. State-of-the-art methods for HTR re

safetyarxiv-cs-cv

Optimize Surgical Triplet Recognition: A Knowledge-Driven Mixture-of-Experts Solution

arXiv:2608.22972v1 Announce Type: new Abstract: Surgical action triplet recognition constitutes a critical task in context-aware robot-assisted surgery, facilitating automatic surgical action percepti

Optimizer choice matters for the emergence of Neural Collapse

arXiv:2602.16642v4 Announce Type: replace Abstract: Neural Collapse (NC) refers to the emergence of highly symmetric geometric structures in the representations of deep neural networks during the term

OptiSight: Bridging Semantic Reasoning and Geometric Control for Embodied Navigation

arXiv:2608.23354v1 Announce Type: cross Abstract: Autonomous indoor navigation requires both semantic understanding and precise geometric control. We propose OptiSight, a hybrid framework that combine

local-aiarxiv-cs-cv

ORBIT++: Benchmarking SfM in the Wild with 360{eg} Video

model-releasesarxiv-cs-cv

arXiv:2608.22039v1 Announce Type: new Abstract: Structure-from-Motion (SfM) is a cornerstone of 3D perception, yet current methods often fail when applied to complex videos involving challenging camer

Ordinal Diffusion Models for Color Fundus Images

arXiv:2602.24013v2 Announce Type: replace Abstract: Generative image models such as diffusion models can improve performance on clinically relevant tasks by offering deep learning models supplementary

OVIBench: Benchmarking Online Video Question Answering under Interruption

arXiv:2608.22279v1 Announce Type: cross Abstract: Recent vision language models (VLMs) have achieved strong progress in video understanding. However, most existing video QA research and benchmarks sti

ParallelWorld: Test-Time Scaling for Embodied Reasoning

arXiv:2608.22971v1 Announce Type: new Abstract: Embodied Reasoning constitutes a fundamental capability of embodied intelligence, serving as the basis for autonomous perception, reasoning, and interac

agentsarxiv-cs-ai

Partial-Moment PINNs for Caldeira--Leggett Parameter Learning in Quantum Brownian Motion

model-releasesarxiv-cs-lg

arXiv:2608.23093v1 Announce Type: cross Abstract: We study parameter recovery in the Caldeira--Leggett (quantum Brownian) oscillator from partial moment traces. Our model is a moment-level PINN that p

Particle Image Velocimetry Refinement via Consensus ADMM for Active Fluid Control

arXiv:2512.11695v3 Announce Type: replace-cross Abstract: Particle Image Velocimetry (PIV) is among the central modalities for measuring flow fields across laboratory, industrial and environmental set

agentsarxiv-cs-cv

PatchGate: Narrowing the Verbalization Gap with Intrinsic Object Inventories in Frozen Vision-Language Models

arXiv:2608.21819v1 Announce Type: cross Abstract: Reliable image captioning in Vision-Language Models (VLMs) requires captions to be both precise and complete, avoiding unsupported object mentions whi

PatchWrite: One Line, Not One Section -- Compile-Gated, Validity-Preserving Editing for AI-Drafted Manuscripts

arXiv:2608.23001v1 Announce Type: new Abstract: Automated manuscript pipelines often regenerate an entire section to repair a local defect, allowing unrelated metrics and citations to change even when

local-aiarxiv-cs-ai

PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation

arXiv:2601.17885v2 Announce Type: replace-cross Abstract: Bimanual manipulation in cluttered scenes requires policies that remain stable under occlusions, viewpoint changes and scene variations. Exist

local-aiarxiv-cs-ai

PepLLM: ESM-Guided Llama for Structured Protein-Peptide Binding Interface Analysis

arXiv:2608.21367v1 Announce Type: cross Abstract: Protein-peptide interactions are central to cellular regulation and peptide-based drug discovery, yet existing computational methods mainly focus on i

Performance of a domain-specific large language model in answering patient questions in psychiatry

arXiv:2608.22797v1 Announce Type: new Abstract: Background This study was designed to evaluate whether a domain-specific large language model (LLM) trained exclusively on patient education resources c

safetyarxiv-cs-ai

Personalized and Aspiration-Oriented Career Path Recommendation

arXiv:2608.22056v1 Announce Type: new Abstract: Fulfilling career aspirations is important for growth of employee and organization. We propose a data driven methodology to recommend personalized caree

safetyarxiv-cs-lg

PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks

model-releasesarxiv-cs-cl

arXiv:2608.21381v1 Announce Type: cross Abstract: Personal intelligence is becoming a central frontier for user-facing AI agents. To be helpful in everyday life, agents must understand users across th

Perturb the Thought, Not the Pixels: Latent-Space Rollout Diversification for Reinforcement Learning of Vision-Language Models

arXiv:2608.21595v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves the reasoning ability of vision-language models (VLMs), and diversifying the rollouts wit

safetyarxiv-cs-cv

Photorealistic Novel View Synthesis of Human Faces using Next-Scale Transformers

arXiv:2608.23410v1 Announce Type: new Abstract: Photorealistic novel view synthesis of people remains challenging at high spatial resolutions and across multiple target cameras, where preserving ident

PhysECD: A Physics-Constrained E(3)-Equivariant Framework for Electronic Circular Dichroism Spectrum Prediction

arXiv:2608.21892v1 Announce Type: cross Abstract: The electronic circular dichroism (ECD) spectrum is a primary experimental probe for assigning the absolute configuration of chiral molecules, yet int

Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs

arXiv:2608.22657v1 Announce Type: cross Abstract: Agentic AI frameworks interpret open-ended task goals and decompose them into multi-step plans. Richer information about embodiment-specific capabilit

agentsarxiv-cs-ai

Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography

arXiv:2608.23562v1 Announce Type: cross Abstract: Ballistocardiography (BCG) is promising for unobtrusive long-term blood pressure (BP) monitoring in laboratory settings, but traditional BCG signals a

Physics-Constrained Neural Flow Maps for Long-Horizon Prediction of Spin Dynamics

model-releasesarxiv-cs-lg

arXiv:2608.22006v1 Announce Type: cross Abstract: Conventional simulation of current-driven magnetization relies on fine-step integration of the spin-transfer-torque Landau--Lifshitz--Gilbert equation

Applications

Physics Filtering Favors the Generalization of Robot Learning

arXiv:2608.22701v1 Announce Type: new Abstract: Living organisms exhibit extraordinary adaptability to unseen environments through their intrinsic physical structures and lifelong feedback-driven lear

applicationsarxiv-cs-ro

Physics-Knowledge-Guided Hybrid Neural Learning for Arctic Sea Ice Concentration Evolution and Short-Range Prediction

arXiv:2608.21767v1 Announce Type: new Abstract: Accurate modeling of sea ice concentration (SIC) evolution is essential for polar climate assessment and short?range sea ice prediction. Numerical and d

Piecewise Linear Equivariant Maps for Compact Groups

arXiv:2608.21645v1 Announce Type: cross Abstract: Motivated by equivariant neural networks, we study piecewise linear equivariant maps between finite-dimensional real representations of compact groups

Pixel-Space Diffusion via Observation Operators

arXiv:2608.21885v1 Announce Type: new Abstract: Pixel-space diffusion models directly model image distributions but remain difficult to optimize. Recent methods alleviate this challenge through target