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Search-to-World: Evaluation of 3D World Delivery from User Request through Web Search

arXiv:2609.07605v1 Announce Type: new Abstract: Agentic systems can interpret user requests, search the live web, and use external tools, but their ability to transform retrieved web content into a us

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Safety

Second-Order Smooth Planning with Optimal-Transport Bellman Smoothing

DGX agent

arXiv:2609.06484v1 Announce Type: new Abstract: Planning with a generative model aims to estimate the value of a state using as few simulator calls as possible. SmoothCruiser achieves problem-independ

safetyarxiv-cs-lg

9 Sept 2026

Applications

Sector-Mean: Deterministic Initialization of K-Means Centroids via Angular Sector Partitioning

arXiv:2609.06468v1 Announce Type: new Abstract: K-Means is one of the most widely used clustering algorithms, but its susceptibility to initial centroid selection remains a primary bottleneck for its

applicationsarxiv-cs-lg

Seeing is Not Believing: Breaking the Physical-to-Digital Trust Boundary in Robotics

arXiv:2609.08280v1 Announce Type: new Abstract: In multi-robot collaboration, task handovers rely on downstream verifiers performing remote attestation, which inspects sensor telemetry to ensure a rob

researcharxiv-cs-ro

SEGA: Drivable 3D Gaussian Head Avatar from a Single Image

arXiv:2504.14373v4 Announce Type: replace-cross Abstract: Creating photorealistic 3D head avatars from limited input has become increasingly important for applications in virtual reality, telepresence

SeGDeP: Semantic- and Geometric-Aware Decoupled Prompts for Reasoning Segmentation

arXiv:2609.08867v1 Announce Type: new Abstract: Reasoning segmentation converts an implicit linguistic conclusion into a precise mask, requiring both semantic identification and spatial grounding. Exi

local-aiarxiv-cs-cv

Segment Any Motion with Radar: Robust Multimodal Moving-Object Segmentation and Tracking

arXiv:2609.08346v1 Announce Type: new Abstract: Moving-object perception must decide which image regions correspond to real motion and keep every instance identified over time. Methods that read motio

SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing

arXiv:2609.07558v1 Announce Type: cross Abstract: Fibre optic sensing, such as distributed acoustic sensing (DAS), has become a widespread technology for geophysical studies. To process the large-scal

Selective boundary condition reduction via learned error gating

arXiv:2609.08461v1 Announce Type: cross Abstract: Parametric PDEs can admit different boundary conditions with different accuracy and computational cost. We introduce a framework for learning when one

Selective Knowledge Control for Continual GUI Agent Learning over Application Streams

arXiv:2609.06530v1 Announce Type: new Abstract: Continual learning is a crucial capability for Graphical User Interface (GUI) agents to adapt to evolving applications while retaining knowledge acquire

Selective Posterior Margin Regularization for Forward-Corrected Classification

arXiv:2609.05859v1 Announce Type: cross Abstract: Learning with class-conditional label noise often relies on a transition model from latent clean classes to observed annotations. Forward correction e

Self-Supervised Multi-View 3D Gaze Target Estimation via Probabilistic Ray Marching

arXiv:2609.07415v1 Announce Type: new Abstract: We present a self-supervised approach, Self-MVGTE, for estimating 3D gaze targets from multiple camera views. Unlike existing methods that independently

Semi-Supervised Learning under Spatially Biased Sampling

arXiv:2609.07982v1 Announce Type: new Abstract: Standard semi-supervised learning (SSL) typically relies on labelled and unlabelled data sharing a common marginal distribution. This assumption is ofte

Separating Capability from Confidence: Grounded Dual-State Calibration for GRPO-Trained Medical Vision-Language Models

arXiv:2609.06419v1 Announce Type: new Abstract: Medical vision-language models (VLMs) require confidence that reflects both answer correctness and patient-specific visual evidence. Recent GRPO-based m

SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation

arXiv:2609.05742v1 Announce Type: new Abstract: American Sign Language (ASL) generation remains challenging due to limited paired text-ASL motion data and the difficulty of learning motion representat

SFO: Learning PDE Operators via Spectral Filtering

arXiv:2601.17090v3 Announce Type: replace Abstract: Partial differential equations (PDEs) govern complex systems, yet neural operators often struggle to efficiently capture the long-range, nonlocal in

SGD in Multiclass Logistic Regression: Sequential Learning and Scaling Laws

arXiv:2609.07868v1 Announce Type: cross Abstract: We study the training dynamics of multiclass logistic regression on high-dimensional Gaussian mixture models with a large number of classes and establ

Sharp Structure-Agnostic Minimax Risk for Partial Linear Models

arXiv:2609.07997v1 Announce Type: new Abstract: We characterize the sharp structure-agnostic minimax risk for coefficient estimation in the partial linear model when the outcome and treatment nuisance

Agents

SHIFT: Surface-aware High-speed Integration For TSDFs

arXiv:2609.06547v1 Announce Type: new Abstract: Real-time 3D mapping is fundamental for autonomous robotic navigation, with Euclidean Signed Distance Fields (ESDFs) serving as the standard representat

agentsarxiv-cs-ro

SignDino: Self-Supervised Sign Language Representation Learning via Temporal-Axis Self-Distillation

arXiv:2609.06296v1 Announce Type: new Abstract: Self-supervised sign language representation learning must model two properties not central to natural-image SSL: signs are produced by a small set of a

SignRefine: Adapting Foundational Video Models for Sign Language Generation

arXiv:2609.08496v1 Announce Type: new Abstract: Sign language video generation demands precise hand and facial articulation, yet modern video diffusion models, trained predominantly on spoken-language

local-aiarxiv-cs-cv

Silver Rate Is (Almost) Optimal for Gradient Descent Acceleration

arXiv:2609.09152v1 Announce Type: cross Abstract: We study how far gradient descent (GD) can be accelerated by predetermined nonnegative stepsizes in smooth convex optimization. Writing p_{sil}=log_2(

SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection

arXiv:2609.08200v1 Announce Type: new Abstract: Token-level text anomaly detection, as an emerging trend of text anomaly detection, moves beyond coarse-grained document-level detection by localizing a

SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models

arXiv:2609.05533v1 Announce Type: new Abstract: Long-horizon manipulation is partially observable: the information needed to choose the next action may appear only in observations from minutes earlier

safetyarxiv-cs-cv

Hardware

Simplify and support your TorchServe workloads using Ray Serve Deep Learning Containers

TorchServe is no longer maintained, leaving teams to own the entire GPU inference stack. The AWS Ray Serve Deep Learning Container is a supported, pre-tested container with the framework, GPU drivers,

hardwareaws-ml-blog

Single Image to Textured 3D Object Generation in Frequency Domain: From Theory to Pipeline

arXiv:2609.07085v1 Announce Type: new Abstract: Single-view 3D reconstruction, also known as image-to-3D, is a persistently challenging task due to the extreme lack of information. Recently, diffusion

Singularity-Free Guiding Vector Fields on SO(3) with Designer-Specified Progression Behavior

arXiv:2609.07269v1 Announce Type: new Abstract: This paper develops a singularity-free guiding vector field (SF-GVF) for path following on the special orthogonal group SO(3). First, we lift the Euclid

researcharxiv-cs-ro

Agents

Situation Awareness for Intelligent Data Distribution in Connected Vehicles

arXiv:2609.05521v1 Announce Type: cross Abstract: The limitations of on-board sensors and blind spots caused by occlusion cause the reduction of perception quality in autonomous vehicles. In such case

agentsarxiv-cs-cv

Tutorials

Skeleton-Guided Sparse Anchors for Rotated Instance Segmentation in Cell Microscopy

arXiv:2401.09895v3 Announce Type: replace Abstract: One of the fundamental challenges in cell microscopy (MS) image analysis is instance segmentation (IS), particularly when segmenting cluster regions

tutorialsarxiv-cs-cv

SkillX: Unified Multi-Skill Policy Learning for Humanoid Soccer

arXiv:2609.06718v1 Announce Type: new Abstract: Humanoid soccer is a challenging testbed for dynamic whole-body control, requiring robots to coordinate balance, locomotion, object interaction, and ski

safetyarxiv-cs-ro

SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO

arXiv:2609.05861v1 Announce Type: cross Abstract: One important AI-for-RAN use case is energy saving, in which radio resources and cell energy modes must be dynamically controlled without violating us

safetyarxiv-cs-lg

Small business owners deserve every advantage. Meet the 16 plugins that help take work off your plate so you can focus on what matters most—…

Small business owners deserve every advantage. Meet the 16 plugins that help take work off your plate so you can focus on what matters most—running your business. Explore the small business collection

model-releasesopenai--x

SMaRT-Tug: Structured Multi-Agent Reinforcement Learning for Physics-Based Tugboat-Barge Collaborative Manipulation

arXiv:2609.07445v1 Announce Type: new Abstract: Autonomous tugboating is central for automating maritime operations such as port logistics and vessel maneuvering, where multiple tugboats must cooperat

safetyarxiv-cs-ro

Smoothed Picard Hamiltonian Monte Carlo

arXiv:2609.06906v1 Announce Type: cross Abstract: We develop a new low-accuracy sampler, called smoothed Picard Hamiltonian Monte Carlo, which combines Gaussian smoothing, Picard iteration, and higher

Social Intuition vs. Machine Reasoning: Anticipating Human-Robot Interaction from multiple modalities

arXiv:2609.07394v1 Announce Type: new Abstract: Anticipating whether a person will interact from one's own perspective is a highly intuitive task for humans, that relies on a combination of cues. We i

SoftRerank: Hierarchical Soft Fusion with Candidate-Label Reranking for Long-Tailed Micro-Action Recognition

arXiv:2609.08221v1 Announce Type: new Abstract: Micro-actions are subtle, low-intensity non-verbal behaviors that provide cues to fine-grained human states, including emotions and intentions. Recogniz

SolarBench: A global solar energy nowcasting benchmark

arXiv:2609.06187v1 Announce Type: new Abstract: As the share of solar power grows, nowcasting weather-driven solar variability becomes critical for reliable energy system operation. State-of-the-art a

Solution for UCF UrbanTwin LUMPI Track: Sim-to-Real Urban LiDAR 3D Object Detection

arXiv:2609.07590v1 Announce Type: new Abstract: We present our solution to the LUMPI track of the UCF UrbanTwin Sim2Real LiDAR Challenge at the 6th DriveX Workshop, ECCV 2026. The detector must be tra

Solution for UCF UrbanTwin V2X-Real Track: Sim-to-Real Urban LiDAR 3D Object Detection

arXiv:2609.07608v1 Announce Type: new Abstract: Bridging the simulation-to-reality gap in roadside LiDAR requires addressing several coupled discrepancies, including scene geometry, sampling density,

local-aiarxiv-cs-cv

Solved: LLM inference on Windows was 2–3x slower when the server window wasn't focused

The fix: run the server detached/headless instead of keeping it attached to a console window. RTX 5090, ~27B NVFP4 model via ninfer: Terminal focused: 130–200 tok/s Terminal unfocused: 50–60 tok/s Cli

local-air-localllama

Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment

arXiv:2609.07983v1 Announce Type: new Abstract: Physics-Informed Neural Networks (PINNs) have recently emerged as a promising approach for solving Partial Differential Equations (PDEs), offering a mes

SOTA ImageGen Locally NVIDIA Cosmos3(64B) INT4 quants CUDA/MLX

Cosmos3 INT4 T2I + I2V on Apple Silicon — code, weights and a Grok comparison GitHub - https://github.com/gtrg55/cosmos3-quant-mlx-cuda HF weights - https://huggingface.co/JuliaML/Cosmos3-Super-Text2I

local-air-localllama

Industry

Sources: Anthropic declined to submit Mythos 5.1 to the UK AISI for pre-release testing, prompting UK fears that US AI labs are aligning with US protectionism (Financial Times)

Financial Times: Sources: Anthropic declined to submit Mythos 5.1 to the UK AISI for pre-release testing, prompting UK fears that US AI labs are aligning with US protectionism — Decision to exclude Ai

industrytechmeme

Industry

Sources: Jeffrey Katzenberg, ex-OpenAI Sora head Bill Peebles, and ex-Dropbox CFO Sujay Jaswa plan to launch a startup to train AI video models for filmmakers (The Information)

The Information: Sources: Jeffrey Katzenberg, ex-OpenAI Sora head Bill Peebles, and ex-Dropbox CFO Sujay Jaswa plan to launch a startup to train AI video models for filmmakers — Hollywood mogul Jeffre

industrytechmeme

Sparse Data Augmentation for Optimization with Provable Guarantees

arXiv:2609.08133v1 Announce Type: new Abstract: In nonconvex optimization problems arising in geometric machine learning, data augmentation is commonly used to promote invariance by averaging empirica

Sparse Gain Radio Map Reconstruction With Geometry Priors and Uncertainty-Guided Measurement Selection

arXiv:2604.05788v2 Announce Type: replace Abstract: Radio maps are important for environment-aware wireless communication, network planning, and radio resource optimization. However, dense radio map c

Applications

Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics

arXiv:2609.06109v1 Announce Type: new Abstract: Port flood digital twins require analytics that warn operators before disruption, but official warning incidents are often few and adjacent observations

applicationsarxiv-cs-lg

Sparse Oblique Rule Boosting for Simpler Additive Rule Ensembles

arXiv:2609.06426v1 Announce Type: new Abstract: Small additive ensembles of symbolic rules offer interpretable prediction models. Traditionally, these ensembles use rule conditions based on conjunctio