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17 papers in the last four weeks, up 55% on the four weeks before. 0.2% of all new papers.

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Latest papers 129

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Predicting Metastatic Risk from Primary Cancer Tissue Architecture via Distance-Aware Spatial Modeling
Jun 27, 2026Sandesh Pokhrel, Hamid Manoochehri, Beatrice S Knudsen +1Tumor Tissue
Department of Electrical and Computer Engineering, University of Utah · Scientific Computing and Imaging Institute, University of Utah · Department of Pathology, University of Utah
Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software
Jun 26, 2026Daniel RussoRepository-Level Code Understanding Codebases
Department of Computer Science Aalborg University, Copenhagen, Denmark
Assessing Post-Reform Changes in Risk Disclosure Quality with a Multidimensional Text Analysis Approach
Jun 25, 2026Nobuhiro Aikawa, Mitsuo YoshidaLongitudinal Text Analysis and Detection
Degree Programs in Business Sciences University of Tsukuba Tokyo, Japan · Institute of Business Sciences University of Tsukuba Tokyo, Japan
Taxonomy of Risks on Automated Fact-Checking Systems Considering its Propagation
Jun 24, 2026Jun Yajima, Tatsuya Oka, Takao OkuboFact-Checking Artificial Intelligence Risk
1Fujitsu Limited · Institute of Information Security
Long-Term Simulation Exposes Cognitive-Developmental Risks in AI Companions
Jun 24, 2026Kaicheng Shen, Lingyu Li, Wen Wu +3Artificial Intelligence Companions User Simulation
Shanghai Institute of Artificial Intelligence for Education, East China Normal University, Shanghai, China · Shanghai Artificial Intelligence Laboratory, Shanghai, China · School of Computer Science and Technology, East China Normal University, Shanghai, China
Exploring the relationship between human-centric AI and firm idiosyncratic risks
Jun 23, 2026Zhen-Yuan Ralph Liu, Yu-Ting Wang, Jia-Jia Yan +2Socio-Technical Systems Risk
CUMT · Department of Accounting, School of Economics and Management, China University of Mining and Technology, Tongshan District, Xuzhou City, China · NFU +5
Non-asymptotic estimates of the minimal risk in statistical learning
Jun 22, 2026Liming Wu, Sen YangEmpirical Risk Minimization Concentration Bounds
Laboratoire de Mathématiques Blaise Pascal, CNRS-UMR 6620, Université Clermont Auvergne · IASM, Harbin Institute of Technology
Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs
Jun 19, 2026Charbel El Feghali, Arkil Patel, Nicholas Meade +3Model Weights Language Modeling
McGill-NLP/tiered-language-models
The AI Evaluability Gap: The Missing Layer for Managing Risk and Sustaining Value
Jun 19, 2026Vishal Srivastava, Tanmay SahArtificial Intelligence Governance Artificial Intelligence Risk
Whiting School of Engineering Johns Hopkins University Baltimore, MD 21218 · Harrisburg University of Science and Technology Harrisburg, PA
SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data
Jun 18, 2026Jie Min, Yueyao Wang, Mengkun ChenTime-To-Event Data Risk
Department of Mathematics & Statistics, University of South Florida, Tampa, FL · School of Statistics and Data Science, Zhejiang Gongshang University, Hangzhou, China · Department of Statistics,AbstractVirginia Tech, Blacksburg, VA
Measuring Biological Capabilities and Risks of AI Agents
Jun 18, 2026Patricia Paskov, Jeffrey Lee, Kyle Brady +1Artificial Intelligence Risk Agentic Evaluations
RAND Corporation, Santa Monica, Calif.
A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction
Jun 16, 2026Yuxiang Luo, Chen Wang, Nan TangContinual Fine-Tuning Model Fine-Tuning
The Hong Kong University of Science and Technology (Guangzhou).
Non-Autoregressive Minimum Bayes' Risk Decoding for Fast Speech Recognition
Jun 16, 2026Hiroyuki Deguchi, Takatomo Kano, Katsuki Chousa +1Autoregressive Decoding Risk
NTT, Inc., Japan
Beyond the Blood Draw: Explainable Machine Learning for Non-Invasive Dysglycemia Risk Screening
Jun 14, 2026Black Sun, Chenyi Zhang, Kaiyi Ji +1Diabetes Risk
Department of Computer Science, Aarhus University, Aarhus, Denmark · University at Buffalo, SUNY, Buffalo, New York, USA
The Perils of Agency: How Developers Perceive, Prioritize, and Address Risks in Agentic AI Products
Jun 13, 2026Hao-Ping Lee, Jessica He, David Piorkowski +3Artificial Intelligence Risk Risk
Carnegie Mellon University · IBM Research · Alinia
Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models
Jun 9, 2026Malikeh Ehghaghi, Boglárka Ecsedi, Marsha Chechik +1Large Language Model Evaluation Attack-Success Rate
University of Toronto · Vector Institute · Hugging Face
Understanding and mitigating the risks of OpenClaw for non-technical users: A practical guide with Skill
Jun 9, 2026Junchang Zheng, Junfeng Tan, Jialiang LinOpenclaw Cybersecurity
School of Computer Science and Engineering, Guangzhou Institute of Science and Technology, Guangzhou, China · Science and Education Evaluation Lab, Guangzhou Institute of Science and Technology, Guangzhou, China
Privacy-Preserving Credit Risk Prediction with Alternative Data
Jun 9, 2026Hongzhe Zhang, Jiarong Xu, Jing He +1Credit Risk Prediction Alternative
School of Management and Economics, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China · School of Management, Fudan University, Shanghai, China · Lerner College of Business and Economics, University of Delaware, Newark, Delaware
Decision-Making under Combinatorial Risk
Jun 8, 2026Yifan Hong, Hongmiao Fan, Chen WangTarget Risk Risk
Department of Industrial Engineering, Tsinghua University
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
Jun 8, 2026Yanyan Luo, Xue Han, Ruiqiao Bai +10Large Language Model Personalization Large Language Model Safety
Jiutian Research, China Mobile Jiutian Artificial Intelligence Technology (Beijing) Co., Ltd., Beijing, China. · Xinjiang Technical Institute of Physics and Chemistry, Chinese2026 Academy of Sciences, Beijing, China.
A Joint Finite-Sample Certificate for Adaptive Selective Conformal Risk Control
Jun 7, 2026Xiaoli Yu, Jiamiao LiuConformal Risk Control Finite-Sample Certificates
School of Cyber Security and Information Law Chongqing University of Posts and Telecommunications Chongqing 400065, China · Department of Information, Xinqiao Hospital Army Medical University (Third Military Medical University) Chongqing 400037, China
Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference
Jun 4, 2026Shengxian Ding, Haonan Gao, Pangpang Liu +2Readmission Prediction Risk Stratification
Department of Biostatistics, Yale University, New Haven, USA
Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees
Jun 4, 2026Ieva KazlauskaiteConformal Risk Control Risk
Department of Statistics, London School of Economics and Political Science, United Kingdom
ReSGA: A Large Tail Risk Model for Learning Value-at-Risk and Expected Shortfall
Jun 3, 2026Yichi Zhang, Ke Zhu, Zhoufan ZhuConditional-Value-At-Risk Long-Tailed Distribution
Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong · Wang Yanan Institute for Studies in Economics, Xiamen University, China · Department of Finance, School of Economics, Xiamen University, China
Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment
Jun 1, 2026Yiran Qiao, Jing Chen, Jiaqi Xu +3Out-Of-Distribution Streaming Video
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · ByteDance China, Hangzhou, China · State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences +1
Cross-modal linkage risk in clinical vision-language models
Jun 1, 2026Soroosh Tayebi Arasteh, Mahshad Lotfinia, Sven Nebelung +1Medical Vision-Language Models Vision-Language Alignment
Lab for AI in Medicine, RWTH Aachen University, Aachen, Germany · Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany
Model Multiplicity and Predictive Arbitrariness in Recidivism Risk Assessment
Jun 1, 2026Ashwin Singh, Carlos CastilloLogistic Regression Risk
TU Wien, Vienna, Austria · ICREA and Universitat Pompeu Fabra, Barcelona, Spain
Predicting the risk of colorectal anastomotic leak based on preoperative mapping of the blood supply of the bowel
Jun 1, 2026Zahra Tabatabaei, Jon Sporring, Mark Bremholm Ellebæk +1Surgical Robots Risk
Computer Science Department, Københavns Universitet (KU), Copenhagen, Denmark. · Department of Clinical Research, University of Southern Denmark, Odense, Denmark. · Research Unit of Surgery, Odense University Hospital, Odense, Denmark. +1
When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems
May 30, 2026Su Wang, Pin Qian, Yihang Chen +6Skills Exploitation
Carnegie Mellon University · Georgia Institute of Technology · University of Glasgow +2
Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
May 28, 2026Tim Woydt, Paul-David ZuercherOptimal Policies Thompson Sampling
ProdAxon · Department of Computer Science Technical University Darmstadt · Institute for Manufacturing Department of Engineering University of Cambridge
SuiChat-CN: Benchmarking Contextual Suicide Risk Assessment in Chinese Group Chats
May 27, 2026Xiangyu Wang, Zhiwei Yu, Chengze Du +3Suicide Risk Social Media Posts
University of Chinese Academy of Sciences · 2Tsinghua University · 3Beijing University of Posts and Telecommunications +1
Causal Risk Minimization for High-Dimensional Treatments
May 26, 2026Nikita Dhawan, Arnav Paruthi, Andrew Kim +3Causal Inferences High-Dimensional
University of Toronto, Vector Institute · University of Toronto · Vanguard
MiRD: Reliable Set-Valued Prediction for Open-Ended Question Answering via Miscoverage Risk Decomposition
May 25, 2026Anqi Hu, Zhiyuan Wang, Zijun Jia +1Open-Ended Responses Nonconformity Scores
University of Electronic Science and Technology of China · Beihang University
Clustering based on Stochastic Dominance with application for risk averters and risk seekers
May 23, 2026Hua Li, Xue Jia, Yilin Kang +1Portfolio Optimization Clustering
School of Science, Changchun University, Changchun, China. · School of Mathematics and Science, Northeast Normal University, Changchun, China.
MC-Risk: Multi-Component Risk Fields for Risk Identification and Motion Planning
May 20, 2026Maximilian Link, Yingjie Xu, Yingbai Hu +1Risk Motion Planning
Technical University of Munich · Munich, Germany · The Chinese University of Hong Kong +3
When Agents Talk: Discourse, Manipulation, and Risk in an Agentic Social Network
May 20, 202610a Labs, :, Grace Cheong +22Malicious Agents Artificial Intelligence Agents
10a Labs1
Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs
May 18, 2026Hamed Khosravi, Xiaoming HuoConformal Risk Control Reinforcement Learning With Verifiable Reward
Georgia Institute of Technology
Learning Interpretable Point-Based Clinical Risk Scores via Direct Optimization
May 18, 2026Ying Cui, Albert M Li, Vivek Charu +3Risk Stratification Multimorbidity
Department of Biomedical Data Science, Stanford University · Decatur High School · Department of Pathology, Stanford University School of Medicine +1
Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Target Concentration, Disclosure, and Academic Blind Spots
May 18, 2026Yizhu Wen, Nan Zhang, Haohan Yuan +3Governance Blind Spots
School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, USA · The Media School, Indiana University Bloomington, Bloomington, USA · School of Data Science, University of North Carolina at Charlotte, Charlotte, USA +1
GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment
May 14, 2026Adis AlihodžićLand Surface Temperature Spatiotemporal Prediction
Department of Mathematical and Computer Sciences, Faculty of Science, University of Sarajevo, Sarajevo, Bosnia and Herzegovina.
Graph-Based Financial Fraud Detection with Calibrated Risk Scoring and Structural Regularization
May 12, 2026Yunfei Nie, Jiawei Wang, Ruobing Yan +3Fraud Detection Graph Representation Learning
Brandeis University, Waltham, USA · University of California, Los Angeles, USA · Georgetown University, Washington, D.C., USA +2
Neural-Actuarial Longevity Forecasting: Anchoring LSTMs for Explainable Risk Management
May 7, 2026Davide RindoriActuarial Ratemaking Risk
SAV Actuarial Candidate, ETH Zürich · PhD in Physics, University of Florence (2021)
When Does $\ell_2$ -Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias
May 7, 2026Ye Su, Jian Li, Yong LiuOverfitting Empirical Risk Minimization
Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055, China · School of Artificial Intelligence Beijing Normal University Beijing, 100875, China · Gaoling School of Artificial Intelligence Renmin University of China Beijing 100872, China
Agentic, Context-Aware Risk Intelligence in the Internet of Value
May 7, 2026Basel Magableh, OmniRisk ResearchConditional-Value-At-Risk Artificial Intelligence Risk
School of Computer Science, Technological University Dublin, Ireland · Rayachain Lab, Dublin, Ireland
Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
May 6, 2026Jonathan R. LandersJacobian Covariance
Independent Researcher · New York, NY, USA
TriBench-Ko: Evaluating LLM Risks in Judicial Workflows
May 5, 2026Haesung Lee, Gyubin Choi, Eun-Ju Lee +5Legal Domain Large Language Model Safety
Center for Trustworthy AI, Seoul National University · Graduate School of Data Science, Seoul National University · Responsible AI Team, KT +1
Fundamental Physics, Existential Risks and Human Futures
Apr 29, 2026Adrian KentEvolutionary Optimization Methods Risk
Centre for Quantum Information and Foundations, DAMTP, University of Cambridge and Perimeter Institute for Theoretical Physics · Centre for Quantum Information and Foundations, DAMTP, University of Cambridge, Wilberforce Road, Cambridge, CB3 0WA, United Kingdom · Perimeter Institute for Theoretical Physics, 31 Caroline Street N, Waterloo, ON N2L 2Y5, Canada
Open Problems in Frontier AI Risk Management
Apr 28, 2026Marta Ziosi, Miro Plueckebaum, Stephen Casper +26Artificial Intelligence Risk Frontiers
Oxford Martin AI Governance Initiative, University of Oxford · MIT Computer Science and Artificial Intelligence Laboratory, MIT · SaferAI +14
Evaluating Risks in Weak-to-Strong Alignment: A Bias-Variance Perspective
Apr 28, 2026Hamid Osooli, Kareema Batool, Rick Gentry +3Bias-Variance Decomposition Deception
University of Illinois Urbana-Champaign · InstaDeep · Microsoft +1
Risk Reporting for Developers' Internal AI Model Use
Apr 27, 2026Oscar Delaney, Sambhav Maheshwari, Joe O'Brien +2Artificial Intelligence Risk Pre-Deployment Safety Assessments
† Work done while at IAPS
Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk
Apr 27, 2026Shuai Wu, Xue Li, Yanna Feng +3Synthetic Image Detection Image Generation
Mr. Shuai Wu* · Ms. Xue Li · Mrs. Yanna Feng +3
An empirical evaluation of the risks of AI model updates using clinical data: stability, arbitrariness, and fairness
Apr 27, 2026Ioannis Bilionis, Ricardo C. Berrios, Luis Fernandez-Luque +1Continuous Glucose Monitoring Clinical Decision Support
Adhera Health and Universitat Pompeu Fabra Barcelona, Spain · Adhera Health, USA · Adhera Health, Spain +1
EndoGov: A knowledge-governed multi-agent expert system for endometrial cancer risk stratification
Apr 26, 2026Weiye Dai, Liyun Shi, Zanxiang He +4Risk Stratification Multidisciplinary Tumor Boards
aShenzhen Technology University, Shenzhen, China · bShenzhen People’s Hospital, Shenzhen, China · dShenzhen University, Shenzhen, China +1
Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework
Apr 23, 2026Tharindu Kumarage, Lisa Bauer, Yao Ma +7Large Language Model Evaluation LLM Reasoning Strategies
Amazon Nova Responsible AI
A Wasserstein GAN-based climate scenario generator for risk management and insurance: the case of soil subsidence
Apr 22, 2026Antoine Heranval, Olivier Lopez, Didier Ngatcha +1Insurance Climate
BioSP · Biostatistiques et Processus Spatiaux (BioSP), INRAE, Avignon, France · CREST +3
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
Apr 21, 2026Kelly McConvey, Dipto Das, Maya Ghai +3Fairness Audits Institutions
University of Toronto, Toronto, Ontario, Canada
Driving risk emerges from the required two-dimensional joint evasive acceleration
Apr 20, 2026Hao Cheng, Yanbo Jiang, Wenhao Yu +9Collision Prediction Risk
School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China · State Key Laboratory of Intelligent Green Vehicle and Mobility, Beijing 100084, China · School of Traffic & Transportation Engineering, Central South University, Changsha 410000, China +2
When Choices Become Risks: Safety Failures of Large Language Models under Multiple-Choice Constraints
Apr 18, 2026Yuheng Chen, Zhiyu Wu, Bowen Cheng +2Large Language Model Safety Large Language Models Fail
Kagoshima University · Fudan University · China University of Petroleum-Beijing
CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction
Apr 16, 2026Sizhe Wang, Ziqi Xu, Claire Najjuuko +2Clinical Prediction Large Language Model Uncertainty
Washington University in St. Louis
From Risk to Rescue: An Agentic Survival Analysis Framework for Liquidation Prevention
Apr 16, 2026Fernando Spadea, Oshani SeneviratneDecentralized Finance Risk
Rensselaer Polytechnic Institute Troy, NY, USA

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Predicting Metastatic Risk from Primary Cancer Tissue Architecture via Distance-Aware Spatial Modeling

Sandesh Pokhrel, Hamid Manoochehri, Beatrice S Knudsen, Tolga Tasdizen

Department of Electrical and Computer Engineering, University of Utah · Scientific Computing and Imaging Institute, University of Utah · Department of Pathology, University of Utah

Tumor Tissue Multiple Instance Learning Biomarker Spatial Priors Risk

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Predicting distant metastasis from the digital H & E slides of the primary tumor is a critical yet challenging task in computational pathology. Multiple Instance Learning (MIL) approaches can attend to subdomains in whole slide images (WSIs) that harbor features of pre-metastatic cancer regions. However, conventional MIL models largely treat tissue patches as unordered bags, discarding the spatial layout that defines how these regions are arranged and interact across the tissue. We propose that metastatic risk is shaped not only by local patch appearance, but also by the geometric organization of patches in the WSI and the interaction between the tissue compartments. To this end, we introduce Distance-aware Tissue Modeling for Multiple Instance Learning (DTMF-MIL), a spatial MIL framework that reinforces feature embeddings with explicit distance priors. By computing signed distance functions (SDFs) to capture regions with similar features, and representing each patch with radial-basis distance responses and local SDF statistics, DTMF-MIL learns positions of patches with respect to regional interiors and boundaries. The interactions between similar patches are contextualized across local tissue neighborhoods and used to guide slide-level attention while pooling patch feature evidence for metastasis prediction. We evaluate DTMF-MIL for prediction of distant prostate cancer metastasis in an internal prostate needle-biopsy cohort (IPC) from a large hospital system and on public TCGA-COAD and TCGA-KIRC datasets across multiple pathology foundation-model backbones. Across most dataset, backbone, and metric combinations, DTMF-MIL achieves the strongest results consistently.

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