William Fleshman, Benjamin Van Durme: SEQR: Secure and Efficient QR-based LoRA Routing https://arxiv.org/abs/2509.18093 https://arxiv.org/pdf/2509.18093 https://arxiv.org/html/2509.18093

Chuhao Qin, Evangelos Pournaras: Strategic Coordination for Evolving Multi-agent Systems: A Hierarchical Reinforcement and Collective Learning Approach https://arxiv.org/abs/2509.18088 https://arxiv.org/pdf/2509.18088 https://arxiv.org/html/2509.18088

Nikhil N S, Amol Dilip Joshi, Bilal Muhammed, Soban Babu: A Knowledge Graph-based Retrieval-Augmented Generation Framework for Algorithm Selection in the Facility Layout Problem https://arxiv.org/abs/2509.18054 https://arxiv.org/pdf/2509.18054 https://arxiv.org/html/2509.18054

Nicolas Salvad\'e, Tim Hillel: Functional effects models: Accounting for preference heterogeneity in panel data with machine learning https://arxiv.org/abs/2509.18047 https://arxiv.org/pdf/2509.18047 https://arxiv.org/html/2509.18047

Yinlong Dai, Andre Keyser, Dylan P. Losey: Prepare Before You Act: Learning From Humans to Rearrange Initial States https://arxiv.org/abs/2509.18043 https://arxiv.org/pdf/2509.18043 https://arxiv.org/html/2509.18043

Amparo Ba\'illo, Jose R. Berrendero, Mart\'in S\'anchez-Signorini: Kernel K-means clustering of distributional data https://arxiv.org/abs/2509.18037 https://arxiv.org/pdf/2509.18037 https://arxiv.org/html/2509.18037

Gilles Bareilles, Allen Gehret, Johannes Aspman, Jana Lep\v{s}ov\'a, Jakub Mare\v{c}ek: Deep Learning as the Disciplined Construction of Tame Objects https://arxiv.org/abs/2509.18025 https://arxiv.org/pdf/2509.18025 https://arxiv.org/html/2509.18025

Dunyao Xue, Mengyu Li, Cheng Meng, Jingyi Zhang: Core-elements Subsampling for Alternating Least Squares https://arxiv.org/abs/2509.18024 https://arxiv.org/pdf/2509.18024 https://arxiv.org/html/2509.18024

Yidong Zhou, Su I Iao, Hans-Georg M\"uller: Fr\'echet Geodesic Boosting https://arxiv.org/abs/2509.18013 https://arxiv.org/pdf/2509.18013 https://arxiv.org/html/2509.18013

Fernando Llorente, Daniel Waxman, Sanket Jantre, Nathan M. Urban, Susan E. Minkoff: Robust, Online, and Adaptive Decentralized Gaussian Processes https://arxiv.org/abs/2509.18011 https://arxiv.org/pdf/2509.18011 https://arxiv.org/html/2509.18011

Riccardo Cadei, Christian Intern\`o: The Narcissus Hypothesis:Descending to the Rung of Illusion https://arxiv.org/abs/2509.17999 https://arxiv.org/pdf/2509.17999 https://arxiv.org/html/2509.17999

Yefan Zhou, Austin Xu, Yilun Zhou, Janvijay Singh, Jiang Gui, Shafiq Joty: Variation in Verification: Understanding Verification Dynamics in Large Language Models https://arxiv.org/abs/2509.17995 https://arxiv.org/pdf/2509.17995 https://arxiv.org/html/2509.17995

Agarwal, Bhattacharjee, Rastogi, Jacob, Banerjee, Gupta, Bhattacharyya: ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media https://arxiv.org/abs/2509.17991 https://arxiv.org/pdf/2509.17991 https://arxiv.org/html/2509.17991

Yiwen Song, Hongyang Li, Kuang Yuan, Ran Bi, Swarun Kumar: Towards Seeing Bones at Radio Frequency https://arxiv.org/abs/2509.17979 https://arxiv.org/pdf/2509.17979 https://arxiv.org/html/2509.17979

Romain Thoreau, Jessie Levillain, Dawa Derksen: Can multimodal representation learning by alignment preserve modality-specific information? https://arxiv.org/abs/2509.17943 https://arxiv.org/pdf/2509.17943 https://arxiv.org/html/2509.17943

Hu, Tang, Munje, Zhu, Liu, Liu, Warnell, Stone, Biswas: ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion https://arxiv.org/abs/2509.17941 https://arxiv.org/pdf/2509.17941 https://arxiv.org/html/2509.17941

Jayashrita Debnath, Gerhard Hummer: Random functions as data compressors for machine learning of molecular processes https://arxiv.org/abs/2509.17937 https://arxiv.org/pdf/2509.17937 https://arxiv.org/html/2509.17937

Yuanrong Wang, Yingpeng Du: Shilling Recommender Systems by Generating Side-feature-aware Fake User Profiles https://arxiv.org/abs/2509.17918 https://arxiv.org/pdf/2509.17918 https://arxiv.org/html/2509.17918

Paul Hamelbeck, Johannes Schiffer: Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation https://arxiv.org/abs/2509.17898 https://arxiv.org/pdf/2509.17898 https://arxiv.org/html/2509.17898

Qiushi Han, Yuan Liao, Youhao Si, Liya Huang: Brainprint-Modulated Target Speaker Extraction https://arxiv.org/abs/2509.17883 https://arxiv.org/pdf/2509.17883 https://arxiv.org/html/2509.17883

Kai Schenck, Ga\v{s}per Begu\v{s}: Unsupervised Learning and Representation of Mandarin Tonal Categories by a Generative CNN https://arxiv.org/abs/2509.17859 https://arxiv.org/pdf/2509.17859 https://arxiv.org/html/2509.17859

Lawrence Obiuwevwi, Krzysztof J. Rechowicz, Vikas Ashok, Sampath Jayarathna: Toward Affordable and Non-Invasive Detection of Hypoglycemia: A Machine Learning Approach https://arxiv.org/abs/2509.17842 https://arxiv.org/pdf/2509.17842 https://arxiv.org/html/2509.17842

Joao Marques-Silva, Alexey Ignatiev: Efficient & Correct Predictive Equivalence for Decision Trees https://arxiv.org/abs/2509.17774 https://arxiv.org/pdf/2509.17774 https://arxiv.org/html/2509.17774

Jessica Ojo, Zina Kamel, David Ifeoluwa Adelani: DIVERS-Bench: Evaluating Language Identification Across Domain Shifts and Code-Switching https://arxiv.org/abs/2509.17768 https://arxiv.org/pdf/2509.17768 https://arxiv.org/html/2509.17768

Javier Bisbal, et al.: Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning https://arxiv.org/abs/2509.17726 https://arxiv.org/pdf/2509.17726 https://arxiv.org/html/2509.17726

Mariam Mahran, Katharina Simbeck: Investigating Bias: A Multilingual Pipeline for Generating, Solving, and Evaluating Math Problems with LLMs https://arxiv.org/abs/2509.17701 https://arxiv.org/pdf/2509.17701 https://arxiv.org/html/2509.17701

Julia Matejas, Olaf \.Zurawski, Nils Strodthoff, Juan Miguel Lopez Alcaraz: Predicting Chest Radiograph Findings from Electrocardiograms Using Interpretable Machine Learning https://arxiv.org/abs/2509.17674 https://arxiv.org/pdf/2509.17674 https://arxiv.org/html/2509.17674

Mariette Sch\"onfeld, Wannes Meert, Hendrik Blockeel: Tailored Transformation Invariance for Industrial Anomaly Detection https://arxiv.org/abs/2509.17670 https://arxiv.org/pdf/2509.17670 https://arxiv.org/html/2509.17670

Andreas Hadjigeorghiou, David J. Armstrong, Kaiming Cui, Marina Lafarga Magro, Luis Agust\'in Nieto, Rodrigo F. D\'iaz, Lauren Doyle, Vedad Kunovac: RAVEN: RAnking and Validation of ExoplaNets https://arxiv.org/abs/2509.17645 https://arxiv.org/pdf/2509.17645 https://arxiv.org/html/2509.17645

Hyunjong Ok, Suho Yoo, Hyeonjun Kim, Jaeho Lee: AuditoryBench++: Can Language Models Understand Auditory Knowledge without Hearing? https://arxiv.org/abs/2509.17641 https://arxiv.org/pdf/2509.17641 https://arxiv.org/html/2509.17641

Mohammed Racim Moussa Boudjemaa, Alper Kalle, Xiaoyi Mai, Jos\'e Henrique de Morais Goulart, C\'edric F\'evotte: Whitening Spherical Gaussian Mixtures in the Large-Dimensional Regime https://arxiv.org/abs/2509.17636 https://arxiv.org/pdf/2509.17636 https://arxiv.org/html/2509.17636

Chang Li, Zehua Chen, Liyuan Wang, Jun Zhu: Audio Super-Resolution with Latent Bridge Models https://arxiv.org/abs/2509.17609 https://arxiv.org/pdf/2509.17609 https://arxiv.org/html/2509.17609

Tom Dunstan, et al.: FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design https://arxiv.org/abs/2509.17601 https://arxiv.org/pdf/2509.17601 https://arxiv.org/html/2509.17601

Jinyeong Kim, Seil Kang, Jiwoo Park, Junhyeok Kim, Seong Jae Hwang: Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models https://arxiv.org/abs/2509.17588 https://arxiv.org/pdf/2509.17588 https://arxiv.org/html/2509.17588

Florinel Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu: PRNU-Bench: A Novel Benchmark and Model for PRNU-Based Camera Identification https://arxiv.org/abs/2509.17581 https://arxiv.org/pdf/2509.17581 https://arxiv.org/html/2509.17581

Congcong Ge, Yachuan Liu, Yixuan Tang, Yifan Zhu, Yaofeng Tu, Yunjun Gao: MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances https://arxiv.org/abs/2509.17553 https://arxiv.org/pdf/2509.17553 https://arxiv.org/html/2509.17553

Neslihan Kose, Anthony Rhodes, Umur Aybars Ciftci, Ilke Demir: Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem https://arxiv.org/abs/2509.17550 https://arxiv.org/pdf/2509.17550 https://arxiv.org/html/2509.17550

Dominic Broadbent, Nick Whiteley, Robert Allison, Tom Lovett: Bilateral Distribution Compression: Reducing Both Data Size and Dimensionality https://arxiv.org/abs/2509.17543 https://arxiv.org/pdf/2509.17543 https://arxiv.org/html/2509.17543

Anastasios Fanariotis, Theofanis Orphanoudakis, Vasilis Fotopoulos: Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers https://arxiv.org/abs/2509.17533 https://arxiv.org/pdf/2509.17533 https://arxiv.org/html/2509.17533

Mohammadreza Sharifi, Danial Ahmadzadeh: Transformer-Gather, Fuzzy-Reconsider: A Scalable Hybrid Framework for Entity Resolution https://arxiv.org/abs/2509.17470 https://arxiv.org/pdf/2509.17470 https://arxiv.org/html/2509.17470

Chang, Wang, Dang, Huang, Wang, Cao, Piao, Li, Gao, Wang, Li, Sun, Fang, Lin: AI Pangaea: Unifying Intelligence Islands for Adapting Myriad Tasks https://arxiv.org/abs/2509.17460 https://arxiv.org/pdf/2509.17460 https://arxiv.org/html/2509.17460

Yangxuan Zhou, Sha Zhao, Jiquan Wang, Haiteng Jiang, Shijian Li, Tao Li, Gang Pan: SPICED: A Synaptic Homeostasis-Inspired Framework for Unsupervised Continual EEG Decoding https://arxiv.org/abs/2509.17439 https://arxiv.org/pdf/2509.17439 https://arxiv.org/html/2509.17439

Siqi Li, Molei Liu, Ziye Tian, Chuan Hong, Nan Liu: Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity https://arxiv.org/abs/2509.17411 https://arxiv.org/pdf/2509.17411 https://arxiv.org/html/2509.17411

Shivam Kumar, Haotian Xu, Carlos Misael Madrid Padilla, Yuehaw Khoo, Oscar Hernan Madrid Padilla, Daren Wang: Bias-variance Tradeoff in Tensor Estimation https://arxiv.org/abs/2509.17382 https://arxiv.org/pdf/2509.17382 https://arxiv.org/html/2509.17382

Haotian Xu, Qingsong Peng, Jie Shi, Huadi Zheng, Yu Li, Cheng Zhuo: SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models https://arxiv.org/abs/2509.17371 https://arxiv.org/pdf/2509.17371 https://arxiv.org/html/2509.17371

Shi, Lin, Hua, Wang, Zhang, Zheng, Song, Lu, Lu: Multi-Scenario Highway Lane-Change Intention Prediction: A Physics-Informed AI Framework for Three-Class Classification https://arxiv.org/abs/2509.17354 https://arxiv.org/pdf/2509.17354 https://arxiv.org/html/2509.17354

Jiawen Wei, Elena Verona, Andrea Bertolini, Gianmarco Mengaldo: Explainability matters: The effect of liability rules on the healthcare sector https://arxiv.org/abs/2509.17334 https://arxiv.org/pdf/2509.17334 https://arxiv.org/html/2509.17334

Minglai Yang, Reyan Ahmed: Word2VecGD: Neural Graph Drawing with Cosine-Stress Optimization https://arxiv.org/abs/2509.17333 https://arxiv.org/pdf/2509.17333 https://arxiv.org/html/2509.17333

Chi Zhang, Mengxin Zheng, Qian Lou, Fan Chen: DiffQ: Unified Parameter Initialization for Variational Quantum Algorithms via Diffusion Models https://arxiv.org/abs/2509.17324 https://arxiv.org/pdf/2509.17324 https://arxiv.org/html/2509.17324

Zhuofan Chen, Jiyuan He, Yichi Zhang, Xing Hu, Haoxing Wen, Jun Bai, Wenge Rong: CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models https://arxiv.org/abs/2509.17318 https://arxiv.org/pdf/2509.17318 https://arxiv.org/html/2509.17318