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WorkWorlds: An Infrastructure for Evaluating AI Agents on Workplace Tasks

arXiv:2609.23806v1 Announce Type: new Abstract: Many knowledge-work benchmarks are constructed around individual tasks, with the context needed for each task selected together with or after the task h

agentsarxiv-cs-ai

Human

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World In Your Hands: A Large-Scale and Open-Source Ecosystem for Learning Human-Centric Manipulation in the Wild

DGX agent

arXiv:2512.24310v4 Announce Type: replace Abstract: We introduce World In Your Hands (WIYH), a large-scale open-source ecosystem comprising over 1,000 hours of human manipulation data collected in-the

safetyarxiv-cs-ro

23 Sept 2026

World State Generator

arXiv:2609.24744v1 Announce Type: new Abstract: Language agents solve complex tasks through plans and actions. A single step the world refuses puts the goal out of reach, and what the agent does next

safetyarxiv-cs-ai

xWhyL: Causal Interactive Learning

arXiv:2609.26037v1 Announce Type: new Abstract: Explanations are central to causal reasoning, and cognitive science has long established that the human drive to explain is itself a mechanism for learn

Local Ai

You can now add usage credits for paid cloud models without an Ollama subscription. Add usage credits and pay as you go. https://ollama.com/…

Ollama has introduced a new option allowing users to add usage credits for paid cloud models without requiring an Ollama subscription, enabling a pay‑as‑you‑go billing approach. The feature can be acc

local-aiollama--x

You Only Need 2/3 of the Chosen Experts: An Empirical Study of Dynamic Expert Pruning in Fine-Grained MoE LLMs

arXiv:2609.25809v1 Announce Type: new Abstract: Fine-grained mixture-of-experts (MoE) architectures have become a mainstream design for open-weight LLMs, with hundreds of experts and increasingly many

You Should Be Properly Scoring Your Odometry

arXiv:2609.25900v1 Announce Type: new Abstract: When we evaluate the performance of our odometry, it is common practice to score the estimated track against a ground truth. Unfortunately, scoring uses

applicationsarxiv-cs-ro

Tutorials

You've Seen Enough: Quality-Constrained Image Coding for Machines

arXiv:2609.25108v1 Announce Type: new Abstract: Visual data is increasingly consumed by machine-vision systems rather than by human observers. Image Coding for Machines (ICM) compresses images assumin

tutorialsarxiv-cs-cv

Zephyron: Integrated Design and Analytical Evaluation of a Solar-Assisted Mobile Manipulator for Multimodal Environmental Reconnaissance and Distributed Visual Inference

arXiv:2609.25709v1 Announce Type: new Abstract: Environmental reconnaissance needs mobile platforms that carry sensors, preserve measurement context, and return interpretable evidence under limited en

safetyarxiv-cs-ro

Zero-Trust Authorization and Discovery for Enterprise MCP

arXiv:2609.22573v1 Announce Type: cross Abstract: LLM agents translate natural-language context, which may include attacker-controlled text, into privileged tool calls, so authorization must remain ef

agentsarxiv-cs-ai

ZeroDrift launches three models for real-time AI compliance checks

model-releasessiliconangle

ZeroDrift Inc., a startup that automates compliance for artificial intelligence communications, today launched Anchor 3.0, a family of small language models designed to check messages generated by AI

0.5%>100%: Bidirectional Reciprocal Learning for Referring Image Segmentation

model-releasesarxiv-cs-cv

arXiv:2609.24510v1 Announce Type: new Abstract: Recent advances in vision foundation models (VFMs) have shown remarkable capabilities across diverse unimodal visual tasks. However, adapting VFMs to re

1% of Tokens Can Be Enough: On Gradient Estimation in On-Policy Distillation

arXiv:2609.24432v1 Announce Type: cross Abstract: Sparse on-policy distillation (OPD) allocates teacher supervision to a small subset of tokens in student-generated trajectories. However, useful teach

safetyarxiv-cs-cl

3D-MoE: Towards Spatial Intelligence with Mixture-of-Experts for 3D Reasoning and Action Generation

arXiv:2501.16698v2 Announce Type: replace Abstract: Spatial intelligence, encompassing 3D perception and reasoning, is the essential next frontier of AI. Scaling current 3D vision-language models (VLM

researcharxiv-cs-cl

Local Ai

A Bayesian Vertical Federated Learning Framework for Multivariate Reduced-Rank High-Dimensional Regression

arXiv:2609.22654v1 Announce Type: cross Abstract: Federated learning (FL) has emerged as a leading privacy-preserving framework for collaborative machine learning across decentralized environments. Wh

local-aiarxiv-cs-lg

A Channel-Boosted Multi-Agent System with Iterative Consultation for Document Sensitivity Classification

model-releasesarxiv-cs-cl

arXiv:2609.22212v1 Announce Type: new Abstract: Organizations in critical national infrastructure sectors must assess heterogeneous documents for sensitivity before routing or storage. Manual assessme

A Comparative Framework for Evaluating Foundation Models on Tabular Data: A Case Study in Healthcare

arXiv:2609.22154v1 Announce Type: new Abstract: Tabular data is the most common format in clinical practice, encompassing laboratory results, medication records, diagnostic codes, and patient demograp

applicationsarxiv-cs-lg

A Course Intelligence Platform for Higher Education: Lessons from AI-Assisted Course Evaluation

arXiv:2411.02455v3 Announce Type: replace Abstract: The rapid adoption of generative AI has created new opportunities for teaching, learning, and quality assurance. Existing applications, however, rem

safetyarxiv-cs-cl

A Direct Rigid Transmission 2-DoF Wrist Extension for Tendon-Driven Hand

arXiv:2609.22681v1 Announce Type: new Abstract: Dexterous manipulation in confined spaces requires local control of hand orientation. Without a wrist, a dexterous hand must obtain this local orientati

researcharxiv-cs-ro

A discrete generative model of neuronal spiking activity on microelectrode arrays

arXiv:2609.23907v1 Announce Type: new Abstract: Generative models of neural activity could help characterize tissue dynamics, compare experimental conditions, and simulate population activity for appl

A Distributional Optimisation Perspective on Combining Models in Deep Learning

model-releasesarxiv-cs-lg

arXiv:2609.24328v1 Announce Type: new Abstract: Combining predictions from different models can improve performance at machine learning tasks, but the training of the individual models and the rule us

A Federated Artificial Intelligence Framework for Optimizing Pancreatic Cancer Treatment - Strategy Update

arXiv:2609.24718v1 Announce Type: new Abstract: While a centralized approach involving patient consent to collect and analyze data centrally would theoretically offer the best data quality and predict

A framework for recipe data structure with applications for culinary and nutritional insights

arXiv:2609.22099v1 Announce Type: new Abstract: Cooking is a complex process that transforms raw ingredients into delicious and nutritious dishes, yet the recipes that encode this process remain large

researcharxiv-cs-cl

A Horizon-Independent Regret Bound for Optimistic Hedge in General-Sum Games

arXiv:2609.22839v1 Announce Type: cross Abstract: Can simple learning rules keep their regret bounded in self-play? Recent work achieves constant regret bounds through modified regularization and high

A Horizon-slicing Approach to Minimum Obstacle Displacement Planning for Robot Navigation

arXiv:2609.22974v1 Announce Type: new Abstract: In this paper, we investigate the Minimum Obstacle Displacement Planning problem from a robot motion planning perspective. The problem involves determin

researcharxiv-cs-ro

A Hybrid Attention Model Learning Unified Time-aware Patch Representation for Irregular Multivariate Time Series Forecasting

model-releasesarxiv-cs-lg

arXiv:2609.22836v1 Announce Type: new Abstract: Time series foundation models (TSFMs) have recently delivered impressive zero-shot performance across diverse forecasting tasks. However, real-world dec

A Hybrid Quantum Neural Network to Analyse Big Experimental Powder X-ray Diffraction Data

arXiv:2609.22376v1 Announce Type: cross Abstract: Quantitative analysis of experimental powder X-ray diffraction data remains challenging when evaluating complex multiphase materials and noisy measure

applicationsarxiv-cs-lg

A Lightweight Convolutional Neural Network for Real-Time Recognition of Hand-Drawn Geometric Shapes

model-releasesarxiv-cs-cv

arXiv:2609.24384v1 Announce Type: new Abstract: Recognizing hand-drawn geometric shapes is a foundational sub-problem of sketch recognition, with applications in education, human-computer interaction,

A Mathematical Framework and a Suite of Learning Techniques for Neural-Symbolic Systems

arXiv:2407.09693v3 Announce Type: replace Abstract: The field of Neural-Symbolic (NeSy) systems is growing rapidly. Proposed approaches show great promise in achieving symbiotic unions of neural and s

safetyarxiv-cs-lg

Hardware

A Monolithic Force-Proprioception Soft Acutuator Enabled by Single-Material 3D printing

arXiv:2609.24499v1 Announce Type: new Abstract: Pneumatic proprioceptive actuators integrate actuation and sensing for soft robots that attract interest due to functional potential. Existing approache

hardwarearxiv-cs-ro

A Multi-Agent Pipeline for Source-Grounded Synthetic Note Generation from Longitudinal Structured EHR

arXiv:2609.22164v1 Announce Type: new Abstract: Structured EHR is abundant but sparse, coded, and difficult to use directly for note-centric clinical modeling. We present MedNotes, a multi-agent synth

agentsarxiv-cs-cl

A multi-temporal dataset for mapping burned areas in the Brazilian Cerrado using time series of remote sensing imagery

arXiv:2609.23687v1 Announce Type: cross Abstract: This paper introduces a multi-temporal tabular dataset derived from satellite images to map burned areas in the Chapada dos Veadeiros National Park, i

researcharxiv-cs-cv

A paired synthetic construction-site image dataset for robust computer vision under adverse conditions

arXiv:2609.24075v1 Announce Type: new Abstract: Computer-vision systems used for construction monitoring can degrade under adverse environmental and visual conditions, yet such conditions remain under

safetyarxiv-cs-cv

A Patient World Model for Early Forecasting of Digital Health Campaign Outcomes: Capabilities and Limits

arXiv:2609.23333v1 Announce Type: new Abstract: Digital direct-to-consumer (DTC) health campaigns are usually measured after the fact. In-flight forecasting commonly relies on a separate classifier fo

A Pinch of SFT, A Dash of RL: When Reinforcement Learning Helps Long-Horizon Advertising Agents

arXiv:2609.22194v1 Announce Type: new Abstract: Enterprise analytics agents solve long-horizon tool-use problems over distributed business data, requiring retrieval, reasoning, API calls, code executi

agentsarxiv-cs-lg

Hardware

A principled approach for energy-efficient training via phase-aware GPU frequency tuning

arXiv:2609.24205v1 Announce Type: cross Abstract: Modern AI model training imposes unprecedented computational demands, making it a key contributor to datacenter energy consumption. Yet a significant

hardwarearxiv-cs-lg

A Recipe for Efficient Sim-to-Real Transfer in Manipulation with Online Imitation-Pretrained World Models

arXiv:2510.02538v2 Announce Type: replace Abstract: We are interested in solving the problem of imitation learning with a limited amount of real-world expert data. Existing offline imitation methods o

applicationsarxiv-cs-ro

A Reconfigurable Dual-Opposition Architecture for Single-Hand Assembly and Manipulation

arXiv:2609.22871v1 Announce Type: new Abstract: In-hand assembly is constrained by the need to maintain grasps on two separate parts while controlling their relative motion within a single hand. To en

safetyarxiv-cs-ro

A Red-Team Study of Anthropic Fable 5 & Opus 4.8 Models

arXiv:2606.18193v2 Announce Type: replace-cross Abstract: We evaluate the adversarial robustness of three frontier large language models (LLMs) developed by Anthropic, Opus 4.8, Fable 5 and its succes

safetyarxiv-cs-cl

A Shared Learning Rate Is Not a Neutral Control in Selective On-Policy Distillation

model-releasesarxiv-cs-lg

arXiv:2609.22109v1 Announce Type: new Abstract: Selective on-policy distillation trains a student only at the token positions a selector scores highest, and the literature compares selectors under a s

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents

arXiv:2601.12538v2 Announce Type: replace-cross Abstract: Reasoning is a fundamental cognitive process underlying inference, problem-solving, and decision-making. While large language models (LLMs) de

agentsarxiv-cs-cl

A Switched Adaptive Control Framework for Aerial Manipulators Under Dynamic Transitions

arXiv:2609.24761v1 Announce Type: new Abstract: Aerial manipulators represent the forefront of aerial robotics. Although potentially capable of complex interaction tasks, controlling aerial manipulato

researcharxiv-cs-ro

A Synthetic Multivariate Refrigerator Time-Series Dataset for Predictive Maintenance

arXiv:2609.22229v1 Announce Type: new Abstract: We generated synthetic multivariate time series for 27 refrigerators with a simplified physicsinspired simulator at one-minute resolution. The simulator

A Temporal Knowledge Graph for Music Festival Lineup Forecasting

arXiv:2609.24467v1 Announce Type: new Abstract: Music festival lineups emerge from complex relationships among artists, genres, releases, labels, and past performances, making the prediction of future

applicationsarxiv-cs-lg

A Topological Representation with Object-Path Graphs for Open-Vocabulary Instance Navigation

arXiv:2609.24189v1 Announce Type: new Abstract: Vision-language navigation requires embodied agents to navigate environments using natural language instructions and visual observations. Existing appro

applicationsarxiv-cs-ro

A Tunable Despeckling Neural Network Stabilized via Diffusion Equation

arXiv:2411.15921v3 Announce Type: replace Abstract: The removal of multiplicative Gamma noise is a critical research area in the application of synthetic aperture radar (SAR) imaging, where neural net

applicationsarxiv-cs-cv

A Tutorial on Prompt Engineering: From Messy Thoughts to AI Workflows

arXiv:2609.22249v1 Announce Type: new Abstract: This paper treats prompt engineering as a discipline for turning informal human intent into structured AI work specifications. It develops the practice

agentsarxiv-cs-cl

A vector logic for intensional formal semantics

arXiv:2602.02940v2 Announce Type: replace-cross Abstract: Formal semantics and distributional semantics are distinct approaches to linguistic meaning: the former models meaning as reference via model-

researcharxiv-cs-cl