| 1 | Probing Spatial State Representations in Visual Foundation Models | Baiqiao Yin, Zhongang Cai, Ruisi Wang +3 | cs.CV | 2026-10-29 |
| 2 | An ODE-based Sampler for Discrete Diffusion Models | Samson Gourevitch, Yazid Janati, Eric Moulines +3 | cs.LG | 2026-10-29 |
| 3 | Training Foundation Models with a Single Algorithm | Yuda Song, Alvin Zhang, Fahim Tajwar +7 | cs.LG | 2026-10-29 |
| #4 | FARMS: A Verifiable Foundation for Automated Computational Science | Di Wu, Ling Liang, Haizhao Yang | cs.AI | 2026-10-29 |
| #5 | TRACER, a time-to-event EHR foundation model for disease detection across health systems | Mara Pleasure, Ekaterina Redekop, Vedrana Ivezic +4 | cs.CE | 2026-10-29 |
| #6 | NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma Simulations | Sriramkrishnan Muralikrishnan, Chelsea Maria John, Jeffrey Kelling +3 | math.NA | 2026-10-29 |
| #7 | CrossWeave: Cross-Modal Scene and Instance Retrieval from Sparse 2D-3D Alignment | Aadith Warrier, Gnana Prakash Punnavajhala, Siddharth Tourani +3 | cs.CV | 2026-10-29 |
| #8 | LucidLyra: Feed-Forward Generative 3D Scene Reconstruction and Joint Understanding via Multi-Task Distillation | Oliver Hahn, Rodrigo Marcuzzi, Sangeetha Grama Srinivasan +7 | cs.CV | 2026-10-29 |
| #9 | A Pretrained Model for Bayesian Filtering in Heterogeneous Dynamical Systems | Ke Fan, Wen Wu, Haitao Su +3 | cs.LG | 2026-10-29 |
| #10 | Continuous-Action World Models: Learning Cross-Embodiment Spatiotemporal Dynamics Priors | Liangyu Li, Qingwen Liu | cs.RO | 2026-10-29 |
| #11 | Understanding axial attention in TSFMs through single location regression | Andrei-Tiberiu Pantea, Aymeric Dieuleveut | stat.ML | 2026-10-29 |
| #12 | SynthFaces: Balanced Large Scale Human Dataset | Sergey Karpukhin, Denis Bobkov, Kirill Morozov +1 | cs.CV | 2026-10-29 |
| #13 | Learning Safe Flow Matching Robot Policies from Binary Feasibility Oracles | Jianming Ma, Rongjun Jin, Yizhi Chen +1 | cs.RO | 2026-10-29 |
| #14 | Human--AI Interactions as First-Class Data: A Formal Interaction Model and Runtime for Explainable AI Collaboration | Michela Taufer, Kin Ng, Ian Lumsden +6 | cs.AI | 2026-10-29 |
| #15 | Spectral Invariant Fusion and Refinement for Domain Generalized Semantic Segmentation | Yansong Bai, Yunzhi Zhuge, Xinzhuo Yu +4 | cs.CV | 2026-10-29 |
| #16 | Going deep, reaching further: What can Boltzmann machines efficiently represent? | Tobias Reinhart, Gemma De les Coves | cs.LG | 2026-10-29 |
| #17 | TabCUQ: Context-Uncertainty Quantification for Tabular Foundation Models | Yuebei Shi, Molei Liu, Zijian Guo | stat.ML | 2026-10-29 |
| #18 | Category-Anchored Large Language Models for Next POI Recommendation | Lexi Bai, Xiaopeng Zeng, Xun Zhou +2 | cs.AI | 2026-10-29 |
| #19 | Interpretable by Design Tabular Prediction via In-Context Local Linear Learning | Ran Eisenberg, Steven Berger, Ofir Lindenbaum | cs.LG | 2026-10-29 |
| #20 | TaxoMFM: A Taxonomy-Aware Foundation Model for the Human Gut Microbiome | Haochen Xue, Anastasia Godneva, Yulong Li +6 | cs.LG | 2026-10-29 |
| #21 | PriorMaskMap: Robust Online Vectorized Map Construction with Biased Priors | Haoming Xu, Wei Li, Yu Hu | cs.CV | 2026-10-29 |
| #22 | Tactus: Tactile & Pose Sensing Glove for Natural Dexterity Data Collection | Li Guan, Rachael Granberry, Sahar Aseeri +101 | cs.RO | 2026-10-29 |
| #23 | Tabular foundation models are not a shortcut to calibrated clinical risk prediction: a pre-registered simulation against the true risk | Ebrahim Khaled Ebrahim | stat.ME | 2026-10-28 |
| #24 | Modular Bayesian Foundation Models: Bayesian time series encoders for OOD detection, routing and forecasting | Mame Diarra Toure, Quang Hung Pham, Mohamed Ryad Zemouri +3 | stat.ML | 2026-10-28 |
| #25 | TrussTutor-Bench: Benchmarking large language models on solution accuracy, sycophancy, and error detection in statics | Evangelos Apostolakis, Erfan Hamdi, Sara Jahedazad +1 | cs.CY | 2026-10-28 |
| #26 | A 211K Parameter Foundation Model: Genetic Prompting in Neural Cellular Automata | John Kalkhof, Niklas Ihm, Daniel Kirste +1 | cs.CV | 2026-10-28 |
| #27 | Data Scaling Laws in Stereo Matching: From In-domain Fitting to Cross-domain Generalization | Tong Zhao, Di Liang, Yiming Zeng +3 | cs.CV | 2026-10-28 |
| #28 | Rethinking LLM Jailbreak Evaluation: Continuous Risk Landscapes Beyond Binary Outcomes | Yukai Zhou, Wenjie Wang | cs.LG | 2026-10-28 |
| #29 | SpectralTF-MAE: A Pre-trained Spectral Foundation Model for Tokamak Fusion Plasma Diagnostics | Xiao Wang, Zhijie Lu, Duoqing Yang +7 | cs.CV | 2026-10-28 |
| #30 | Recurrent Bipartite Graph Neural Networks for QC-MDPC Error Decoding in McEliece Cryptosystems | Parth Rajeshkumar Tandel, Elisabeth Fink | cs.CR | 2026-10-28 |
| #31 | DES-JEPA: Learning a Shared Vocabulary for High-Dimensional Discrete Event Sequences | Hugo Math, Maximilian Forstenhäusler, Christos Anagnostopoulos | cs.AI | 2026-10-28 |
| #32 | Knowledge-structured and evidence-aware semantic self-distillation for glomerular pathology foundation model | Qiming He, Jing Li, Zihan Wang +24 | cs.CV | 2026-10-28 |
| #33 | Investor's Last Exam: Can AI Agents Do Equity Investment Without Seeing the Future? | Huangfei Jiang, Anning Hu, Kai Sheng +7 | cs.AI | 2026-10-28 |
| #34 | Learning a Prior-Data Fitted Network for Graph Foundation Models via Structural Causal Model Priors | Ziwei Zhang, Tianyin Liao, Chunyu Hu +7 | cs.LG | 2026-10-28 |
| #35 | LLM-PowerTrace: A Dataset of Time-Resolved GPU Power Traces for AI Compute | Jiansheng Wang, Jaskeerat Singh, Haochen Xu +6 | eess.SY | 2026-10-28 |
| #36 | Game-Theoretic Foundations for Undiscounted Bisimulation Metrics | Matthew Zurek, Yudong Chen, Josiah P. Hanna | cs.AI | 2026-10-28 |
| #37 | FACTS-MAS: A Multi-Agent Architecture for Adaptive Forecasting from Heterogeneous Evidence | Madumita Karthikeyan, Umang Rajnikant Bid, Rong Pan | cs.AI | 2026-10-28 |
| #38 | BridgeRouter: Gain-Aware Instance Routing over Cross-Modal Bridge Portfolios | Ruoxi Piao, Alicia Lu, Yunzhen Zhang +2 | cs.AI | 2026-10-28 |
| #39 | Estimating Implicit Expected Log Density Ratios | Avi Amalanshu, Chandler Squires, Yizhou Lu +1 | cs.LG | 2026-10-28 |
| #40 | Vision Tomography: Towards Portable 3D Bidirectional Face-Skull Inference from Visual Data | Zidu Wang, Meng Xu, Miao Xu +5 | cs.CV | 2026-10-27 |
| #41 | Are Seismic Foundation Models More Than Glorified Feature Extractors? | Laura Laurenti, David Liu, Brian Kulis +2 | cs.LG | 2026-10-27 |
| #42 | Separability Is Not Alignability: Representations for Spectrum-to-Molecule Retrieval | Karol Musielinski, Fanurs C. E. Teh, Takahiko Koyama +1 | cs.LG | 2026-10-27 |
| #43 | Bi-Phase Training: Learning Efficiently From Scratch | Abel Gurung, Joseph Campbell | cs.LG | 2026-10-27 |
| #44 | Venus-DefakerOne2: A Vision-Forensics Foundation Model with Broader Coverage | Chenfan Qu, Yachao Liang, Mingqi Fang +27 | cs.CV | 2026-10-27 |
| #45 | Responsible Quantum Machine Learning for Medical Imaging: A Fairness Audit Across Sensitive Subgroups | Giovanni dos Santos Franco, Felipe Mahlow, Ellison Fernando Cardoso +2 | cs.LG | 2026-10-27 |
| #46 | Sparse tensor networks for individual tree diameter estimation in mixed forests | Clara Lößl, Fabian Ewald Fassnacht, Viacheslav Barkov | cs.CV | 2026-10-27 |
| #47 | Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals? | Jialv Zou, Xiaotong Li, Zhengrong Yue +6 | cs.CV | 2026-10-27 |
| #48 | Perceiving and Predicting Dynamic Sports: Spatiotemporal Intelligence in Vision Models for Egocentric Tennis Video | Tudor Braicu, Joseph DelPreto, Jared Boyer +4 | cs.CV | 2026-10-27 |
| #49 | Timestral | Adrien Petralia, Alexandre Gavaudan, Artjom Joosen +353 | cs.AI | 2026-10-27 |
| #50 | Pneuma: A Large-Scale Real-World Time Series Benchmark for Commercial Aircraft Predictive Maintenance | Jiafeng Lin, Yutian Zhang, Huan Zhang +5 | cs.LG | 2026-10-27 |