ARIAThe Research Signal

Argus: A General-Purpose Agentic Runtime for Long-Horizon Reasoning

Boxiu Li, Zimo Wen, Yijia Fan et al.

OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling

Indraneil Paul, Falko Helm, Goran Glavaš et al.

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning

Yinghui He, Ling Yang, Jiarui Liu et al.

Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains

Ayoub Kirouane, Christos Petrocheilos

The Loss Does Not See the Basis, but Adam Does

Devender Singh

Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings

Hao Ding, Daniel Semchin, Paul M. Thompson et al.

OPD-V: Visual On-Policy Self-Distillation with Modality Balance

Aniri, Jinhe Bi, Peng Liao et al.

SSTQ:Privacy-Preserving Vector Quantization via Subsampled Stochastic TurboQuant

Adel Javanmard, David P. Woodruff, Vahab Mirrokni

Chained Recursive Language Models for Multi-Iteration Reasoning

Purbesh Mitra, Sennur Ulukus

DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery

Roberto Aliaga Medina, Paulina Quintanilla, Antonio del Rio Chanona

Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition

Paritosh Parmar, Landy Lan, Hong Yang et al.

Stable Density Ridges: Consistency and Convergence of Subspace Constrained Mean Shift

Wanli Qiao

Reward Structure Shapes the Interaction Between Episodic Exploration and Neural Memory in Reinforcement Learning

Jai Malegaonkar, Rohan Patil, Henrik I. Christensen

Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth

Arunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup et al.

AI-based single-shot structured-light depth reconstruction for real-time laparoscopic surgical guidance

Wayne Wonseok Rodgers, Xiangyi Le, Seonghoon Jang et al.

CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs

Hung Truong Thanh Nguyen, Hélène Fournier, Piper Jackson et al.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning

Sajib Hossain, Md Kamrus Samad, Anan Ghosh et al.

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Flow-matching

Dibyajyoti Chakraborty, Romit Maulik

ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment

Yijun Lu, Rui Ye, Jiajun Wang et al.

Hierarchical Graph Memory for LLM Agents with Path-level Localization and Rewrite

Xiawei Yue, Boran Wang, Xiaoqing Zhang et al.

MALT: Lightweight Curvature-Aware Muon via Diagonal Preconditioning

Tongle Wu, Huanyu Dong, Ying Sun et al.

Item Response Theory for AI Safety

Joshua Fonseca Rivera, Neil Shah, David Demitri Africa et al.

Capability-Gated Planning: Cost-to-Goal Discovery and the Limits of Myopic Experiment Selection

Ahmed Hassoon, Mark Dredze

Learning When to Stop: Prefix-Optimal Dynamic Diffusion Policies for Continuous Control

Rohit Kumar Salla, Manoj Saravanan, Simon Stepputtis

Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning

Zheyuan Zhang, Manqing Mao, Hong Wang et al.

SpikingNav: Robust Embodied Navigation with Spiking Neural Policies

Jiahong Zhang, Sijun Shen, Dehua Wu et al.

MultiPathFormer: Towards a Foundation Model for Multipath Wireless Propagation

Blessed Guda, Kayley Sze, Carlee Joe-Wong

VQ-VAD: Vector-quantized Motion Representation Learning for Human-centric Video Anomaly Detection

Narges Rashvand, Ghazal Alinezhad Noghre, Shanle Yao et al.

Provable Limits and Certified Deferral for Verbalized Uncertainty in Small Language Models

Jianru Shen

Hardware Design and Security in the Era of Chiplets and LLMs

Johann Knechtel, Ozgur Sinanoglu, Paul V. Gratz et al.

RepairFormer: Automated Repair of Structured Inputs Using Transformers

Ovi Paul, Tom J King, Ali Shokri

MarsCast: Transfer Learning of AI Weather Foundation Models to Planetary Atmospheres

M. L. Carroll, J. Li, S. D. Guzewich et al.

The Effect of Perceived Race and Gender on Police Language Use: Experimental Evidence from VR Simulations

Sandra C. Sandoval, Navita Goyal, Rashawn Ray et al.

Exact Model-Free Policy Iteration for Co-safe LTL Planning

Zetong Xuan, Yu Wang

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning

Yuxuan Huang, Xingyu Zeng, Tianhang Zheng et al.

BridgeVLA++: A Data-Efficient, Generalizable, and Memory-Augmented Vision-Language-Action Framework for 3D Manipulation

Peiyan Li, Yuze Zhu, Yixiang Chen et al.

SparseDitto: Customizing GPU Kernels for Different Sparsity Patterns with LLM-Based Agentic System

Shiyang Li, Guangyan Sun, Jinwei Tang et al.

From Score Matrices to Football-Aware Match-State Simulation: An Auditable LLM Harness for Exact-Score Reranking

Shaopeng Liang

ArtAnno: Annotating Implicit Semantics in Artworks through LLM Agent-Driven Bidirectional Human-AI Augmentation

Xiaoyan Gu, Yifang Wang, Wenqing Zheng et al.

Canonical Joint Energy-Based Model on CIFAR-10: failure modes and practical indistinguishability of Predictor-Corrector and SGLD samplers

Dmytro Knopov

Optimal Constrained sc-LTL Planning in MDPs via Switching Policies

Zetong Xuan, Yu Wang

Short-term load forecasting under EU-AI Act Requirements in Safety-Critical Environments: Results from a 41-day live challenge on the aggregated German transmission-grid load

Thomas Bartz-Beielstein

Link prediction on multi-relational graphs from an influence propagation perspective

Zidu Yin, Yuankai Qi, Dong Gong et al.

Revealed Rationality: Label-Free Evaluation and Regularization from Representation Theorems

Isaiah Andrews

Stochastic Emulation using Generalized Stratified Sampling for Performance-Based Risk Optimization of Structures

Isabela D. Rodrigues, Seymour M. J. Spence, Henrique M. Kroetz et al.

Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes

Junlin Han, Shengbang Tong, David Fan et al.

ORACLE: A Multi-Objective Reinforcement Learning-Based Analog Circuit Design Optimizer with Large Language Models-Guided Exploration

Osei Brempong, Mohammed Ayman Habib, Vivan Poddar et al.

DreamWAM: Beyond RGB Future Prediction for World Action Models

Shanglin Yuan, Weiheng Zhao, Xin Shi et al.

Protoreasoning in Tiny Transformers

Eduardo Valle, Fergal Reid

SciCode-Verified: How Benchmark Defects Underestimated the Scientific-Coding Ability of Language Models

Sihan Hu, Lyuhan Huang, Youjin Deng et al.

EvolveNet: Collaborative Harness Evolution for Agent Self-Improvement

Jun Nie, Yonggang Zhang, Qianshu Cai et al.

WorldCycle: Self-Verifiable Reinforcement Learning for Long-Horizon Video World Models

Bohai Gu, Yueyang Yuan, Taiyi Wu et al.

SpecRoll: Fast-Slow Verifier-Feedback Adaptation for Speculative Reinforcement Learning Rollouts

Nhat Minh Pham, Duy Tung Doan, Thi Duyen Ngo et al.

Parameter identification for predator-prey system with sparse data

Eduard Campillo-Funollet, James Van Yperen

A General Sufficient Condition for Rewriting Horn-ALCHI Atomic Queries into GQL

David Carral, Calixte Gruson, Quentin Manière

A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise

Shengkun Yang, Luca Ratti, Zhichang Guo

CheMLFlow: An Open-Source Platform for Cheminformatics and Materials Informatics Applications

Brendan Smith, Susana Lopez-Moreno, Eric Dolores-Cuenca et al.

State2State: Environment-Derived Mid-Training for LLM Agents

Xuanyu Lei, Yiqi Zhu, Chenliang Li et al.

Mimir: A Neuro-Symbolic Memory System with Dynamic Grounding for Embodied Agents in Interactive Environments

Haoming Xu, Zhenlin He, Hengyi Wang et al.

SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery

Shrenik Zinage

Optimal Training-Time Scaling in Gradual Adaptation

Zonghuan Xu, Krishna Harish

Consistency-Driven Co-Evolution for Self-Supervised Cross-Representation Learning

Xuehang Guo, Pengyuan Li, Tom Hope et al.

A Chain Is Only as Strong as Its Weakest Link: A Scoping Review of System Integration Audits in AI

Leah Davis, Dominic Martin, AJung Moon

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3

Chengyang He, Tanishq Duhan, Gadiel Sznaier Camps et al.

Visual Representation Matters: Exploiting Temporal Differences in Video-to-Audio Generation

Zehua Chen, Junyou Wang, Yuxuan Jiang et al.

When Shared Rollouts Fail in Defensive Driving Evaluation: A NAVSIM Score Basis Audit

Ziang Wei, Minjun Yu, Zheyuan Lai et al.

When Does Latent Communication Pay? A Causal Audit of Relayed KV Caches in Multi-Agent LLMs

Jiaming Cheng, Subhransu Das, Rajiv Ramnath

Variational Bounds for Perceptron Learning from Structured Data

Francesco Camilli, Pierluigi Contucci, Federica Gerace et al.

Training Crossroads for Recurrent Vision Transformers: Recurrence, Neural ODEs, and Deep Supervision

Grzegorz Gruszczynski, Pawel Olszowiec, Michal Byra et al.

A-SR: Self-Evolving Agentic LLMs for Symbolic Regression via Hierarchical Coordination

Wenxiao Zhao, Dong Liu, Kaiyi Xu et al.

The Neural Echo: A Signal Processing Perspective for Understanding Neural Networks

Chongbiao Wang, Daniel Gaa, Joachim Weickert et al.

Nonparametric Goodness-of-fit Testing under Covariate Shift

Zhen Hou, Dong Xia

RORA: Realistic Object Reconstruction with Articulation

Hyesung Lee, Youngseon Lee, Kyutae Lee et al.

Towards a satellite image manipulation and deepfake localization benchmark dataset

Jacob Arndt, Debvrat Varshney, Philipe Dias et al.

Robust Control under Stationary Ambiguity

Konrad J. Mueller, Amira Akkari, Ben Wood et al.

ContextWeave: A Real-World Workflow Benchmark

Bo Wang, Yuqian Yao, Enxi Wang et al.

Intrinsic-Hybrid Latent Diffusion Models for Generative Modeling on Unknown Manifolds

Yizhu Wang, Mu Niu, Xiaochen Yang

Deliberate Before You Fly: Vision-Guided Spatial Deliberation for UAV See-and-Reach Navigation

Fanfu Xue, En Yu, Bohang Liu et al.

MGSB: Manifold Gated Signature Branch Pressure-Domain Baseline Architecture for Two-Phase Pipeline Flows Under Distributional Shift

Issah Suleiman, Sormeh Serpoosh, Nadine Elkholy et al.

Scrouting: Cost-Aware Routing of Coding Agents by Scouting the Repository First

Ishaan Bhola, Adithyan Krishnan, Mukunda NS

Privileged, but Biased: How PI-Conditioned Teachers Break Self-Distillation

Sarthak Harne, Chinmay Karkar, Yash Pandya et al.

Above-ground Biomass Estimation with Geospatial Foundation Models

Ghjulia Sialellia, Linus Scheibenreif, Jan Dirk Wegner et al.

Agentic Reinforcement Learning with Observation-Calibrated Self-Distillation

Yi Yang, Cong Qin, Xiaodan Liu et al.

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists

Yuexi Yang, Alyssa Wu, Ji Luo et al.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations

Xujia Chen, Xinyue Hu, Letian Chen et al.

IMFACT: Counterfactual Explanations for Time Series via Intrinsic Mode Function Substitution

Udo Schlegel, Julian Rakuschek, Thomas Seidl et al.

NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment

Yu Zhao, Jiangyu Pan, Tao Hu et al.

Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent

Chenyu Wang, Yi Liu, Baoqing Li et al.

Fewer Tokens, Smaller Cache: Reward-Coordinated Efficient Reasoning

Qiyuan Zhu, Dezhi Li, Pengyu Cheng et al.

Poisson Flow and Wasserstein Registration of Trees

Moo K. Chung

From Transparent Labware Segmentation to Collision Avoidance: A Real-Time Edge-Aware Perception Pipeline

Shijun Ding, Chen Qian, Weiwei Shang et al.

FUSEP: A Multi-Center Benchmark for Diverse Tasks in Early Pregnancy Fetal Ultrasound Screening

Bin Pu, Jiewen Yang, Liwen Wang et al.

Explicit Language Memory for Long-Horizon Planning in Vision-Language-Action Models

Houze Xu, Jizhong Li, Ziyi Ye

InsightEmb: Learning Action-Intent Embeddings for Agentic Insight Retrieval

Tsz Ting Chung, Jiangnan Li, Jie Zhou et al.

PURPOSE: Poisoning Conflict Resolution in RAG via Proxy-Fact-Grounded Updates

Zijian Wang, Yubo Zhu, Muzhi Dong et al.

Attention, Anomalies! Handling Attention Layers in Unsupervised Federated Outlier Detection

Mihailo Ilić, Miloš Savić, Vladimir Kurbalija et al.

EviGraph: Evidence-Guided Autonomous Research Agents

Zhenjiang Ren, Ruiji Li, Xujing Zhang et al.

Chain-of-Thought Monitoring Can Be Unreliable in Implicit-Influence Settings

Agatha Duzan, Asa Cooper Stickland

Toward Integrating Adaptive Experience Replay and Online Uncertainty Estimation in Safe Actor-Critic Optimal Control

Mahshad Rastegarmoghaddam, Davoud Nikkhouy, Shima Samadzadeh

When Prompts Become Pixels: Prompt-Region Grounding for Multimodal Reasoning

Yongxin Wang, Ruizhe Zhou, Yueling Tang et al.

A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations

Martin Köppel, Tobias Cronauer, Zekiye Ilknur-Öz et al.

A Vision-based Control Framework for Real-time Autonomous UUV Operations

Erik Tjærand Frøland, Marco Job, Md Ether Deowan et al.

Enabling Urgency-aware Robot Swarm Intralogistics using Smart IoT Tags

Youssef Alboraei, Murray Groves, Shane Wen et al.

Diagnosing Tool-Selection Reasoning in LLM Agents with Canary Tools

Atul Anand, Sourav Chattaraj

What We Observe as LLM Behavior Can Be a Side-effect of Inference Backend

Shahed Masoudian, Passant Shafaei, Monorama Swain et al.

A 6G Integrated Sensing and Communication Framework for Railway Intrusion Detection and Collision Prediction

Ajeet Kumar Yadav, Sankaran Balasubramaniam, Aritra Chatterjee et al.

Benchmarking Deep Learning Models for Dense Event Classification of Offshore Wind Infrastructure in Sentinel-1 Time Series

Thorsten Hoeser, Felix Bachofer, Claudia Kuenzer

A Multi-Sensor Dataset for Monitoring the Operational Environment of Rail Vehicles

Claudio Diotallevi, Rodrigo Gudiño, Zaharia Pachalieva et al.

Design Choices That Matter: A Functional ANOVA Analysis for Remote Sensing Multi-Label Classification

Maryam Gholami Shiri, Eva Tuba, Sašo Džeroski et al.

Teaching MLLMs to Say No: Generalized Referring Expression Comprehension via Refusal Calibrated GRPO

Xuzheng Yang, Jun Ling, Tao Huang et al.

Traceable LLM-Generated Hazard Scenarios for Operational Safety Analysis of Aviation Systems Using ASRS Reports

Cristian Mascia, Roberto Pietrantuono, Daniel Rodriguez et al.

Personalized Federated Sparse Adaptation of Time-Series Foundation Models

Priyanka Nihalchandani, Naman Srivastava, Varun Ojha et al.

Suppression Sticks, Locality Is Fragile: A Closed-Loop Target-and-Control Audit of Task-Vector Negation in VLA Policies

Shaoguang Wang, Weiyu Guo, Rushi Dai et al.

The Sample Complexity of Distributionally Robust PAC Learning under Cressie--Read Divergences

Elad Aigner-Horev, Daniel Rosenberg, Roi Weiss

Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports

Haobin Li, Ping Deng, Weizhong Qian et al.

Kathleen Writes: Autoregressive Generation and Data Scaling Without Attention

George Fountzoulas

Diverse and Plausible Algorithmic Recourse via Tractable Recourse Distributions

Anagha Sabu, Hrithik Suresh, Narayanan C. Krishnan

Differential 6-DOF Pose Estimation with Provable First-Order Immunity to Camera Calibration Errors

Yueqiang Zhang, Liang Deng, Yi Zhang et al.

Easy to Complete, Hard to Choose: Investigating LLM Performance on the ProverbIT Benchmark

Enrico Mensa, Lorenzo Zane, Calogero Jerik Scozzaro et al.

Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints

Mohammadsaeed Haghi, Mahdi Salmani, Nima Kelidari

Automatic Statistical Test for Rationally Expressible Algorithms by Selective Inference, with Applications to Feature Selection

Teruyuki Katsuoka, Tomohiro Shiraishi, Shuichi Nishino et al.

Calibrating Artificial Guilt: Neurally Grounded Reward Shaping for Prosocial Multi-Agent Reinforcement Learning

Aaditya Mehta, Arya Shah

CSGen: A Multi-Domain Curvilinear Structure Generation Model via Hierarchical Multimodal Diffusion

Zhe Shan, Ziming Yang, Lei Zhou et al.

Overcoming Statistical Bias in Action-Controllable World Models

Yuhong Shi, Zhenhao Chu, Jie Wei et al.

DisMix: Order-Aware Mixup for Medical Imaging via Disentangling Ordinal and Non-Ordinal Features

Dileepa Pitawela, Gustavo Carneiro, Hsiang-Ting Chen

Active Learning Guided Design Space Refinement for Scalable Multi-Objective Bayesian Optimization in Materials Discovery

Alexandros Ntagiantas, Panagiotis Tsilimidos, George Giannakopoulos et al.

AI Literacy for Legal Translation: Developing Digital Resilience

Łucja Biel

On the realizability of abstract reaction networks with real molecules and reactions

Tuyet-Minh Phan, Daniel Merkle, Tieu-Long Phan et al.

Mind-VLA: Instruction-Aware Spatial Representation Alignment for Vision-Language-Action Models

Xingyu Ding, Yuzhong Zhao, Yang Wu et al.

A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing

Zhuohang Jiang, Yuxin Chen, Yongsen Pan et al.

Masked diffusion enables coherent beat tracking

Francesco Foscarin, Filip Korzeniowski, Richard Vogl

Agreement Before Diversity: Verification-First Complementarity for Heterogeneous Language-Model Coordination

Ruitong Li, Binjie Guo, Aisheng Mo et al.

An entropic explanation of insistence on sameness in autism

Przemysław Śliwiński

Why Ranking Anomaly Detection Algorithms Isn't as Reliable as You May Think

Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski et al.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling

Colin Merk, Stefanos Charalambous, Peter Dürr et al.

The Order Is the Guarantee: Verifier-Budgeted Code Deletion with Static-First Learned Proposals

Ruitong Li, Binjie Guo, Aisheng Mo et al.

On MUON optimization: From non-convergence to an error analysis with Polar Express and the Newton-Schulz polynomial from implementations

Thang Do, Steffen Dereich, Arnulf Jentzen

Static Timing Orchestration for Tree-Structured Robot Control Firmware

Wang Xi, Feiran Wei, Mo Deng et al.

Traveling fronts in a spatial epidemic model with slow loss of immunity

Rossella Della Marca, Gabriele Grifò, Annalisa Iuorio et al.

Rethinking Reservoir Pruning: A Dynamical Perspective for Echo State Networks

Sudip Laudari, Puspa Raj Adhikari

When Absence Is Evidence: Evaluating Completeness-Sensitive Negative Reasoning in Large Language Models

Byoungjae Min, Kennedy Edemacu, Sae-Hong Cho et al.

Joint UAV Flight and Opportunistic Routing under Reinforcement Learning for Delay-Tolerant Networks

Xiao Wang, Shun-Ren Yang

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering

Yuqian Fu, Tianwen Qian, Yanjun Li et al.

EASy: Towards Efficient LLM-Based Agentic System

Junnan Liu, Linhao Luo, Thuy-Trang Vu et al.

Breaking the Curse ofMultilinguality inMany-to-Many Speech-to-Text Translation via a Resource-AwareMixture of Speech Encoders

Yexing Du, Kaiyuan Liu, Youcheng Pan et al.

PhysMind: From Video to Executable Worlds for Training-Free Physical Reasoning

Chen Yang, Shenxiang Zeng, Haoyang Zhao et al.

Relevant but Incomplete: Referential Dangling as a Paradigm-Level Failure Mode in Hard Prompt Compression

Zhengpei Hu, Kai Li, Dapeng Fu et al.

Breadcrumbing Search Agents

Xuebin Li, Hanqing Zhao, Siyuan Liang et al.

What Is a Skill Worth? Structure-Aware Shapley Valuation of Agent Skills

Tao Li, Junfeng Liu, Qinghua Zhao et al.

Relational Response Fields: A General Theory of Black-Box LLM Response Consistency and Recovery

Song Zichen

EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks

Pau Arnal, Khaled Denfir, Danylo Smahliuk et al.

A Model Merging Approach for Continual MLLM Unlearning

Yuhang Wang, Linlin Zhang, Haoxuan Ji et al.

Learning Compression Rules for Network Traffic

Quentin Lampin, Éloi Sainte-Beuve, Louis-Adrien Dufrène et al.

Discretization and Statistical Consistency of Functional Flow Matching

Lennon J. Shikhman

Learning When to Trust via Selective Context Preference Optimization

Xian Sun, Wei Chow, Yingshuo Wang et al.

$ω$-0: A Latent Predictive World Action Model for Concurrent Humanoid Loco-Manipulation

Zhe Li, Zhenzhe Zhang, Yangyang Wei et al.

DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment Manipulation

Junfeng Li, Junjie He, Zhide Zhong et al.

Tracing the Heart: An Evidence-Linked Pipeline for Heart-Failure Feature Engineering

Soorya Ram Shimgekar, Michelle Hu, Dorisa Shehi et al.

Investigating Artificial Intelligence Digital Sovereignty in Mobile Shopping Apps: A Case Study of Nigeria

George Grispos, Sajda Qureshi

An Optimal Agnostic PAC Algorithm

Markus Engelund Mathiasen, Jian Qian, Nikita Zhivotovskiy

AV-AIVAT: 74x Cheaper Agent Evaluation with Certified Anytime-Valid Stopping in Imperfect-Information Games

Boning Li, Yu Chen, Longbo Huang

The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping

Sarvesh Baskar, Zikui Cai, Shayan Shabihi et al.

PyOMES: an open-source framework for biochemical process modelling

Ethan Errington, Tom Vinestock, Jaewook Lee et al.

A Master-Salve Robot Manipulator for Needle-Based Teleoperation in MRI Chamber

Omar Curiel, Jing-Yuan Huang, Po-Chih Chen et al.

Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents

Praphul Chandra, Sujit Gujar, Ganesh Ghalme

CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks

Fanzhe Meng, Guoxin Chen, Jiale Zhao et al.

Challenges in Evaluating Explanation Methods for Static and Evolving Data

Jerzy Stefanowski

TRAJDEBUG: Tracing Error Lifecycle to Identify Critical Failures in Long-Horizon Agent Trajectories

Yunjia Qi, Zehua Yin, Xintong Shi et al.

Scalable estimation of VARMA models

Daniel Paulin, Victor Elvira

Optimal Rates for Learning with Monotone Adversaries

Anay Mehrotra

GeniWorld: A Generalizable Interactive World Model for Robotic Manipulation via Visual Actions

Chenghao Gu, Hanyang Yu, Jingbo Zhang et al.

Tytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data

Donna Hooshmand, Shubham Shahi, Cameron Barrie et al.

Benchmarking the Benchmarks: Evaluating Benchmarks for Conversational Agents

Noam Koren, Roy Bar-Haim, Abigail Goldsteen

Does FLAIR super-resolution erase or hallucinate small white-matter lesions?

Zahra Khodakarami, Yue Li, Pulkit Khandelwal et al.

RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction

Chenglong Wang, Ziming Zhu, Yifu Huo et al.

Beyond Top-K: Replacing Black-Box Retrieval with Interpretable Agentic Operations

Sagar Tamang, Ayush Vyas, Tabarakul Hazarika

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization

Varun Ursekar, Apaar Shanker, Yash Maurya et al.

Bias Analysis of L2 Speaking Assessment Systems Using Concept Activation Vectors

Arya Labroo, Mengjie Qian, Kate Knill

On-Policy Self-Distillation without Any Supervision

Yijiang Li, Bingyang Wang, Yijun Liang et al.

QuanTiMedAI: Quantum-Enhanced Time-Series Model guided by Agentic AI for Cardiac Arrest Mortality Prediction

Mutasim Fuad Sarker, Adiba Rahman Namira, Wafa Binte Alam et al.

BaKron: Efficient Quantization with Kronecker-Factored Hessians

Johann Birnick, Rayan Saab

Surv-IPTB: An Attention-Based Model for Estimating Individual Probability of Treatment Benefit with Survival Data

Lev V. Utkin, Stanislav K. Kogan, Andrei V. Konstantinov

The Tamed Subgradient Unadjusted Langevin Algorithm beyond Convexity

Iosif Lytras, Nikolaos Makras, Sotirios Sabanis

Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning

Farzana Nasrin

The Illusion of Visual Tool-Use: A Causal Audit of Thinking with Images

Zhiheng Wang, Bo Peng, Lai Wei et al.

Improving the Realism of Synthetic Clinical Benchmarks Under Utility Constraints

Omid Bazgir, Md Nasir, Jacob Hoffman et al.

OTLesMix: Wasserstein Barycenter and Optimal Transport Map for Synthetic Lesion Generation with Diverse Shapes and Locations

Robin Trombetta, Carole Lartizien

Hypothesis Testing with Conditional Queries: Learnability and the Value of Interaction

Zonghuan Xu

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction

Yiting Zheng, Cheng Fang, Anthony Donofrio et al.

MetaboLLM: a metabolomics-specialized large language model for biochemical knowledge integration and predictive metabolite graph construction

Dohyun Ku, Min Gu Kwak, Francisco J. Pasquel et al.

Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model

Saad Ahmed, Md Khalid Syfullaha

Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification

Alex Buna, Shirley Xiaoqi Liu, Patrick Rebeschini

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance

Fardin Afdideh, Fernando Seoane, Farhad Abtahi

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models

ZhiYan Hou, Xinyu Tang, Hongyan An et al.

Timestep-Conditioned Transformers for Global Weather Forecasting

Sam Levang, Fran Bartolic, Ty Dickinson et al.

PRISM: Distribution-Gated Flow Matching for Controllable Unpaired Image Translation

Elad Yoshai, Natan T. Shaked

Depth-Guided Video Object Counting in Crowded Scenes

Yuanjing Xu, Xinyan Liu, Weidong Chen et al.

From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks

Christo Kurisummoottil Thomas, Omar Hashash, Walid Saad

TS-RAG: Retrieval Augmented Generation for Time Series Forecasting

Yixiong Xiao, Congxi Xiao, Jingbo Zhou

Robot Learning from Human Demonstrations: Handwritten Alphabet Trajectories and Human-Likeness Evaluation

Alperen Kenan, Paul Bremner, Manuel Giuliani

Design and Evaluation of a Touchscreen-Based Teleoperation Interface for Robotic Manipulators

Juan José García Cárdenas, Alperen Kenan, Hamidreza Raei et al.

Muon on the Stiefel Manifold Admits an Exact Closed-Form Update

Mikhail Solonko, Molozhavenko Alexander, Maxim Rakhuba

Continual Learning in Transition

Zhiyan Hou, Dan Zhang, Tao Feng et al.

VIDP: Variable Impedance Diffusion Policy for Compliant Robot Manipulation from Diverse Demonstrations

Hisham Khalil, Neil Fernandes, Thomas M. Kwok et al.

ErgoSurf: Ergodic Control for the Coverage of Unknown Surfaces

Stefan Schneyer, Timo Bachmann, Maged Iskandar et al.

Beyond Marginal Validity: Finite-Sample Guarantees for Localized Conformal Prediction

Anton Conrad, Rustam Isaev, Denis Belomestny et al.

What Current AI Benchmarks Leave Unmeasured: Modality, Search, Citations, and Implications (for Safety Evaluations)

Ro Encarnación, Tina Behzad, Emma Lurie et al.

EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning

Zishan Xu, Zhiyuan Yao, Yuxin Chen et al.

Comparative Approaches to Agent Retrieval over Large Skill Libraries

Indivara Kolluru, Nathan Sportsman

Handling Missing Data in Probabilistic Regression Trees

Taiane Schaedler Prass, Alisson Silva Neimaier, Guilherme Pumi

MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration

Jia Xiong, Runkai Li, Chenxu Niu et al.

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities

TaeHo Yoon, Nicolas Loizou

SAGA: Score-Weighted Adaptive Generation Alignment for Low-Resource Nordic Language Models

Hoda Fakharzadehjahromy, Emil Wiman, Andreas Bueff et al.

Threshold-Based Early Stopping of Accumulations in Neural Networks with Binary Activation

Quentin Luquet de Saint-Germain, Massil Ait Abdeslam, Jean Pierre David

Prior-SG: Task and Prior Driven Region Segmentation for Scene Graphs in Arbitrarily-Structured Environments

Giorgio Tonetti, Laurent Kneip, Abel Gawel et al.

Schema-Guided Hierarchical Information Extraction and Semantic Evaluation Using Generative AI

Modhurita Mitra, Jan-Willem Versteeg, Maarten D. Schermer et al.

Audio-to-Score Transcription using Pre-trained Features, Data Augmentation, and the New SheetSage-A2S Dataset

Eoin Cummins, Zhongyi Huang, Alexandre D'Hooge et al.

iARCS: Iterative Agentic RL for Controllable 3D Scene Generation

Saugat Adhikari, Ashok Prasad Neupane, Pramish Paudel et al.

Verifiable Regularity Criterion for Conditional Expectation Operators and Conditional Mean Embeddings with Applications to Nonparametric Regression, Bayesian Inverse Problems, and Koopman Operators

Maximiliano Hertel, Ilja Klebanov, Manuel Schaller et al.

Visual Grounding in Zero-Shot Vision-Language Control

J. de Curtò, Dayani Plasencia, Diego Sánchez et al.

Learning Globally Reusable Skills for Coding Agents

Chen Yang, Jiashuo Tian, Ziqi Wang et al.

Reducing belief in conspiracy theories as they unfold using large language models

Thomas H. Costello, Nathaniel Rabb, Michael Nicholas Stagnaro et al.

CogVis: Must Open-Vocabulary Change Detection Perceive the Scene Anew for Every Query?

Zijie Wang, Chen Zhong, Wei He

Errorless Irrationality: A unified computational account of the inverse base-rate effect across predictive, observational, and unsupervised procedures

Lenard Dome, Andy J. Wills

Simple evolution drives direct reciprocity to maximum payoff in social dilemmas

Martin A Nowak

PaDoc: Layout-Grounded Parallel Decoding for Document Parsing

Hao Yu, Jiabo Zhan, Kang Liu et al.

FinEvo-Bench: A Longitudinal Benchmark for Self-Evolving Agents in Professional Financial Workflows

Bo Deng, Kang Zhou, Lifan Guo et al.

SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models

Yi He, Zhengkang Guan, Anpeng Wu et al.

LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm

Anjali Gangadhar Katageria, Shobha Rani, Raghu Nandan Sengupta

Hardware Keystores for AI Agent Signing Workflows: A Zero-Trust MCP Enforcement Architecture

Leo Sambrook, Sampo Sovio

Contextual Information Policy Optimization for Search Agents

Xingyu Guo, Wei Chen, Linlin Yang et al.

Poli-Bias: Understanding and Measuring Large Language Model Biases in International Political Conflicts

Massi-Nissa Abboud, Aladin Djuhera, Elena Cabrio et al.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series?

Omar Coser, Antonio Orvieto, Paolo Soda et al.

Mind the Gaps: Mixture-of-Minds for Human Simulation

Pranav Dahiya

Beyond Sequence Order: Syntax-Informed Positional Embeddings for Transformers

Haris Riaz, Hyungji Kim, Mihai Surdeanu

From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems

Manideep Dhar, Ritwik Singh, Sharat Chandra Kumar Manikonda

ECHO: A Locally-Deployable Agentic Health Assistant with Temporal Memory, Safety Guardrails, and Speech Assessment

Abdulkadir Külçe, Alihan Esen, Cağla Fikir et al.

Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents

Yuanhong Jiang, Jingjie Zou, Zhenghong Lin et al.

Kastor: An efficient fine-tuning strategy for generative emulation of PDE simulations

Guillaume Couairon, Alexis Jacq, Yu-Han Wu et al.

Does Latent Context Help? A Controlled Evaluation of Inverse Reinforcement Learning in Arctic Shipping

Vaishnav Vaidheeswaran, Dilith Jayakody, Biruk Ambaw et al.

IcFuzz: Fuzzing Isaac Sim with Semantic Stage Guidance and Multi-level Mutation

Zhixiang Chen, Zhuangbin Chen, Ruoxi Jia et al.

Signal or Spurious Cue? A Randomized Audit of Survey-Country Metadata in LLM Social Inference

Yifan Lyu, Xinran Li, Jiaqi Qiao et al.

Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal Case

Shilin Hu, Jingyi Xu, Dimitris Samaras et al.

When History Lies: Evaluating and Improving Tool Use under Misleading Multi-Turn Histories

Xiaoqing Wu, Xingyu Fan, Feifei Li et al.

ML-for-ML

Yutong Zhao, Noga H. Rotman, Gianni Antichi et al.

Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis

Rafał Buler, Jakub Buler, Maciej Bobowicz et al.

Dynamic Graph Prompting via Topology-Routed Mixed-Curvature Experts

Quanxin Wang, Xuanting Xie, Bingheng Li et al.

FormBharo: Designing and Evaluating a Voice Agent for Conversational Form Filling in Rural India

Aman Dalmia, Sanskriti Midha, Jigar Doshi

Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference

Jiming Su, Hantao Hua, Lujia Yin et al.

BioKD: Selective Physiology-to-Video Knowledge Distillation via Reliability Gate for Emotion Recognition

Bojing Hou, Ruohao Li, Yitong Zhu et al.

EpiBench: Can LLMs Understand Epitopes for Antibody Drug Discovery?

Zirui Wang, Jiaqi Wang, Qinghan Wang et al.

Topometric Autonomous Vehicle Localization by Combining Visual Embeddings and Feed-Forward 3D Models

Eulogio Quemada-Torres, Alberto Jaenal, Francisco-Angel Moreno et al.

From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models

Jiale Han, Xiang Li, Jing Qian et al.

ProDVI: Programmatic Dynamics Priors for Value Network Initialization

Xinwei Liu, Junyuan Liang, Jianting Zhang et al.

HERALD: Counterfactual Audits and Minimal Repairs for Proof-of-Retrieval Rewards

Zhuowen Liu, Bohan Cui, YinShang Guo et al.

Adaptive-WAM: Quality-Guided Early-Exit Planning from Intermediate Video-Diffusion Features

Sining Ang, Yuguang Yang, Yan Wang

Do Tabular Foundation Models Agree with Themselves?

Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme et al.

Hybrid Machine Learning Framework for Herd-Level Cattle Growth Pattern and Weight Gain Forecasting in Grazing-Based Production Systems

Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R. McGrath et al.

Beyond Flat Policies: Hierarchical Post-Training for Embodied Agents in Robotic Manipulation

He Kong, Zengjue Chen, Qi Wang et al.

Convergent Evolution in Neural Representation Space: Emergent Order in Deep Belief Networks

Patrick Krauss, Achim Schilling, Andreas Maier et al.

A Unified Risk View of Uncertainty: Posterior Risk for Disentanglement and Evaluation Beyond Proxies

Frieder Wizgall, Georg Tirpitz, Moritz Seiler et al.

OPERA: Operator-residual feedback for reliable autonomous optical experiments with language-model agents

Ning Xu, Xiang Zheng, Fuqiang Zhong et al.

Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control

Xinwei Liu, Junyuan Liang, Jianting Zhang et al.

AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning

Zi-Han Wang, Zhengxi Lu, Zhiyuan Yao et al.

Convergent Evolution in Algorithmic Space

Patrick Krauss, Achim Schilling, Andreas Maier et al.

THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction

Pui Chung Siu, Claudia Cabrera, Mani Mudaliar et al.

Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bidirectional Alignment

Yichen Zhang, Yixiong Xiao, Congxi Xiao et al.

How Far Do Simple Transformations Translate Across Text Embedding Models?

Sid Ali Hamideche, Louis Adrien Dufrene, Quentin Lampin et al.

TRACE: Learned Proprioceptive Odometry for Legged Robots under Unreliable Contact Conditions

Taehyeon Kong, Woojin Kim, Jemin Hwangbo

SkillMemo: Expert-guided Skill Memory Framework for Compositional Embodied Manipulation

Changyuan Wang, Chubin Zhang, Zhenyu Wu et al.

Big, Bright, or Invisible: A Frozen-Feature Benchmark of 3D CT Foundation Models

Maulik Chevli, Johannes Brandt, Rickmer Braren et al.

Stability of Ranking-dependent Pair-wise Comparison Patterns in the Analytic Hierarchy Process

Vitaliy Tsyganok, Sergii Kadenko, Oleh Andriichuk

Training a Conditioned Video Game Agent on a VLM Annotated Dataset

Katrin Schmid, Iuri Frosio

VLMs for Videogame Data Annotation

Katrin Schmid, Iuri Frosio

GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models

Shuai Wang, Yaxin Feng, Xuekun Jiang et al.

Operating Multi-Node Full Fine-Tuning on NVIDIA B300: A Field Report on Telemetry-Based Triage, Negative Results, and Operational Hardening

Seon Ho Kim, Ui Jeong Jeon, Su Hyeon Kim et al.

MirrorNet: Can Medical Image Anonymization Really Protect Patient Identity?

Attila Simkó

Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data

Nina van Gerwen, Dimitris Rizopoulos, Manon Hillegers et al.

BioM-JEPA: joint-embedding prediction of graph-connected gene blocks in single cells

Yuhao Wang, Zelin Zang, Yuxuan Liu et al.

BALANCE: Hybrid Autoregressive-Speculative LLM Inference in Wireless Edge Networks

Guanqiao Qu, Shuo Chen, Qian Chen et al.

CourseGraph: Finding overlaps and differences in Computer Science courses across universities

Arthur Nijdam, Paul Stankovski Wagner, Sara Ramezanian

Robust-WAM: Bridging Generative Pretraining and Semantic Foresight in World-Action Models

Haodong Yan, Junfeng Li, Junjie He et al.

CohortHijack: Robustness of Single Cell Annotation to Companion Cell Removal

Arash Vashagh, Yasmin Vashagh

GSBF: Gaussian Splatting for Environment-Aware Beamforming

Yijie Bian, Wei Guo, Zixin Wang et al.

ECG-LENS: Lead-Aware Clinical Context Enriched ECG Report Generation and Evaluation

Akanta Das, Tasinul Islam Ahon, Ahmed Mahir Sultan Rumi et al.

Alternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features

Yulun Wu, Matthieu Barreau, Miguel Aguiar et al.

AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents

Weikai Xu, Yunren Feng, Haoxiang Lei et al.

The em-dash em-beds in Congress: A population-level rise in em-dash frequency in U.S. congressional press releases at the dawn of the large-language-model era, 2021-2025

Przemysław Czuma

CodeGrep: An RL-Trained Retrieval Agent for LLM Coding Agents

Wuya Chen, Yihao yang, Yang Cao et al.

Complexity and Stability of Neural Activity Across Aging and Neurodegenerative Disease

Junjie Yu, Jianyu Zhang, Zian Pei et al.

Beyond Feature Importance: A Comparative Analysis of Pattern Detection Methods in Cluster Interpretation

Benjamin Connor, Anna Jurek-Loughrey, Lu Bai et al.

D-CLOT: Double Closed Loop Optimal Transport for Unsupervised Action Segmentation

Elena Bueno-Benito, Mariella Dimiccoli

Personalized Deep Research Query Refinement with Graph-Scaffolded Evidence Grounding

Soojin Yoon, Dongha Lee

MACRO: Markov Chain Routing of Transformer Layers

Paweł Batorski, Abtin Pourhadi, Akylgali Aitaza et al.

Improving Interoperability among Defence and National Security Ontologies: Analysis and Evaluation Tasks

Jonathon Dilworth, Pedro Giesteira Cotovio, David Herron et al.

Seeing Is Not Deciding: Can Multimodal LLMs Act as Effective CEOs?

Yuyang Dai, Xueqing Peng, Yuxia Wang et al.

Runtime Observability for Heterogeneous Attention Memory

Fanzhe Wei, Li Liu, Ziyang Wang et al.

Evidential Rule Learning for Interpretable Classification with Abstention

Javier Fumanal-Idocin, Javier Andreu-Perez

Shape-Aware Oriented Bounding Box (OBB) to Horizontal Bounding Box (HBB) Conversion

Badha Rathna Sabhapathy, Gotam Dahiya, Vishesh Vatsal

MameLoshnLM: Yiddish Language Model and Evaluation Benchmark

Uri Katz, Omer Goldman, Tomasz Limisiewicz et al.

A neural operator view on U-Nets for inverse imaging problems

Alexander Auras, Martin Burger, Samira Kabri et al.

ViSR-KGC: Visual Subgraph Reasoning with Vision-Language Models for Multimodal Knowledge Graph Completion

Jiafan Li, Mengxue Yang, Jiaqi Zhu et al.

Coordinated Multi-Robot Disassembly for Makespan Optimization of Large-Scale Assemblies

Niklas Hargus, Andreas Orthey, Marc Toussaint

Learning to Rank Tensor Network Contraction Plans for GPU-Accelerated Quantum Circuit Simulation

Alfred M. Pastor, Maribel Castillo, Jose M. Badia

Cautious Context Steering for Language Model Personalization

Gihoon Kim, Jeyoung Lee, Suhan Woo et al.

When Self-Evolution Backfires: Pre-Commit Gating against Skill Contamination in LLM Agents

Linfang Shang, Ming Xu, Yiding Sun et al.

Hierarchical Latent Prediction for Language Models

Chang Shi, Tim Pearce, Manan Tomar et al.

On-Policy Delta Distillation for Multilingual Math Reasoning

Byeongho Heo, Jaehui Hwang, Sangdoo Yun et al.

XEWorld: Can Action-Conditioned World Models Generalize to Unseen Robot Embodiments?

Yixiang Chen, Jiabing Yang, Yuan Xu et al.

KVAE: Family of Tokenizers for Multimodal Generative Models

Andrey Shutkin, Denis Parkhomenko, Ivan Kirillov et al.

Predicting Task Difficulty Without Rollouts

Stefan Krsteski, Charlotte Meyer

When Agentic AI Meets Integrated Sensing and Communication

Kai Li, Conggai Li, Sarah Ali Siddiqui et al.

A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems

Zihan Xu, Haolin Tian, Hai Jiang

ChainClaw: A Layered Agent Framework for Reliable On-Chain Execution

Jiacheng Wei, Zhaoxin Fan, Xin Wen et al.

Task-Conditional Flow Matching for Balanced Multilingual Text Embedding Adaptation

Tirth Bhatt, Naren Kumar S, Mayank Singh

Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay

Nossa Iyamu

GROM: Gradient-Free Rapid One-Shot Machine Unlearning

Paweł Batorski, Przemysław Spurek, Paul Swoboda

VSMP-IMU: Video-Grounded Semantic Motion Programs for Sensor-Aware Synthetic IMU Generation

Lala Shakti Swarup Ray, Vitor Fortes Rey, Mengxi Liu et al.

When Do Prompt-Side Agent Playbooks Transfer? Accuracy, Cost, and Runtime Shift in Agent Deployment

Weihong Lin, Lin Sun, Xiangzheng Zhang

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations

Sebastian Persson, Giacomo Fabrini, Branwen Snelling et al.

SR-JEPA: Learning Predictive Latent State in 3D Scenes

Zihan Zhou, Qifu Wen, Xi Zeng

Neuro-Symbolic Closed-Loop Control of Laser Powder Bed Fusion with an In-Loop Ontology

Gisuk Hong, Jaebong Cho, Hyunbo Cho

HyTBE: Hyperbolic Target-Background Expert Model for Cross-Domain Infrared Small Target Detection

Aohua Li, Jin Kuang, Yubing Lu et al.

Accelerating nanodrug development in continuous flow systems using informed prediction models based on low-cost surrogate nanoparticles

Kai Dahms, Eilien Heinrich, Jochen Schmid et al.

Acoustic-driven millimetric helical robot: ultrasonic synergistic manipulation in confined fluidic environment

Hanlin Wang, Xin Wang, Xinwei Wei et al.

UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on

Yushe Cao, Shikun Feng, Fei Shen et al.

Equipment-centric workpiece localization in near real-time using deep learning-based vision and event-driven finite state machines

Dohyeon Kong, Jaebong Cho, Hyunbo Cho

Multivariate Time Series Forecasting needs Cross Variable Loss

Kuiye Ding, Yifan Hu, Hanchen Wang et al.

Once a Response, Always a Response: Detecting LLM-generated Text via Latent Prompt Restoration

Hongrui Bao, Yubing Ren, Yanan Cao et al.

In-Context VLA: Endowing Vision-Language-Action Models with Language via In-Context Post-Training and Agentic Tool Use

Jiarui Yang, Wen Huang, Jiale Zhang et al.

ABC: Numerical Data Collection under Local Differential Privacy without Prior Knowledge

Incheol Baek, Hyungbin Kim, Yon Dohn Chung

Subliminal Learning is Non-Semantic Distillation

Ethan Hadley, Eren Gultepe

Multiparametric MRI Radiomics and Machine Learning Framework for Predicting Treatment Response in Glioblastoma

Suchibrata Patra

CircuitSteer: Geometrically Aligned Multi-Layer Steering via Sparse Autoencoder Circuits

Mehrshad Saadatinia, Parsa Razmara, Ardalan Aryashad et al.

Unified Agent: Managing Interactions across Devices

Xinshuang Liu, Runfa Blark Li, Shaoxiu Wei et al.

Engram-E2VID: Reference-Based Event-to-Video Reconstruction via Generative Activation of Appearance Engrams

Feiyu Ji, Xiang Li, Hao Ma et al.

LILAC: An Idempotent Neural Speech Codec

June Young Yi, Dongwook Lee, Jiheum Yeom et al.

Near-sensor Computing for Rapid Visuotactile Perception

Zhengying Zhu, Ruilin Zhang, Runze Hu et al.

Sparse Mutual Information Graph Averaging for Improving Random Indexing Embeddings

Sriram Loganathan, Gokul Anand, Aung Bo Bo et al.

ATP: Anatomical Torque with Passivity-based Control Framework for Safe Upper-Limb Exoskeleton Assistance

Yu Chen, Gong Chen, Xiang Li

BlockPython: A Process-Aware Agent-Supported Platform for the Transition from Block-Based to Python Programming

Jesse Yusuf Chan, Haoming Wang, Mingwei Xu et al.

Hijacking Robots with a Piece of Paper: A Systematic Study of Physical Prompt Injection in VLM-Controlled Robots

S. M . Bhagya P. Samarakoon, M. A. Viraj J. Muthugala, W. K. R. Sachinthana et al.

RA-CAD: Learning Post-Execution Critique for State-Aware Text-to-CAD Generation

Shuhao Yan, Changhao He, Xi Peng et al.

Shaping Human-AI Interactions to Provide Improvement Pathways and Balance Competing Objectives

Keziah Naggita

Spectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery

Victor Gialis, Maxime Metz, David Esteve et al.

SEAM: Global consistency beyond local accuracy in scientific machine learning

Gnankan Landry Regis N'guessan, Bum Jun Kim

A Low-Power Wearable Respiratory Sensor for Non-Invasive Stress Monitoring

Mohammad Hosseini, Hamed Khatounabadi, Mohammad Fakharzadeh

DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model

Wenhao Lin, Chenyu Yu, Xingwei Lin et al.

Answer First, Reason Later: Commitment Order in Diffusion LLMs

Jewon Yeom, Jaewon Sok, Seonghyeon Park et al.

Provably Efficient Self-Calibrating Quantum Fault Tolerance

Weiyuan Gong, Hong-Ye Hu

Grounded Well-Condition Anomaly Detection on the Volve Field: Constructed Labels, a Baseline, and a Dual-Head Model

Gospel Bassey, Vincent Fakiyesi

Nonvisual Classification of Ground-Condition by Artificial Proprioception in an Amoeba-Inspired Autonomous Walking Robot

Hyoto Yamaguchi, Zenji Yatabe, Seiya Kasai

DistMedVL: Distributional Vision-Language Alignment for Uncertainty-Aware Medical Image Segmentation

Jiaxuan Li, Qing Xu, Xiangjian He et al.

Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading

Rasul Khanbayov, Hasan Kurban