Yonghyun Kim, Chaeyeon Han, Akash Sarode, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch: Audio-Based Pedestrian Detection in the Presence of Vehicular Noise https://arxiv.org/abs/2509.19295 https://arxiv.org/pdf/2509.19295 https://arxiv.org/html/2509.19295

Yang Jin, Jun Lv, Han Xue, Wendi Chen, Chuan Wen, Cewu Lu: SOE: Sample-Efficient Robot Policy Self-Improvement via On-Manifold Exploration https://arxiv.org/abs/2509.19292 https://arxiv.org/pdf/2509.19292 https://arxiv.org/html/2509.19292

Georgii Kolokolnikov, et al.: MOIS-SAM2: Exemplar-based Segment Anything Model 2 for multilesion interactive segmentation of neurobromas in whole-body MRI https://arxiv.org/abs/2509.19277 https://arxiv.org/pdf/2509.19277 https://arxiv.org/html/2509.19277

Abdou Karim Kandji, Fr\'ed\'eric Precioso, Cheikh Ba, Samba Ndiaye, Augustin Ndione: WolBanking77: Wolof Banking Speech Intent Classification Dataset https://arxiv.org/abs/2509.19271 https://arxiv.org/pdf/2509.19271 https://arxiv.org/html/2509.19271

Erik Bo\v{z}\'ik, Marek \v{S}uppa: SloPalSpeech: A 2,8000-Hour Slovak Speech Corpus from Parliamentary Data https://arxiv.org/abs/2509.19270 https://arxiv.org/pdf/2509.19270 https://arxiv.org/html/2509.19270

Maldonado, Rashvand, Pazho, Noghre, Katariya, Tabkhi: Adversarially-Refined VQ-GAN with Dense Motion Tokenization for Spatio-Temporal Heatmaps https://arxiv.org/abs/2509.19252 https://arxiv.org/pdf/2509.19252 https://arxiv.org/html/2509.19252

Siheng Li, et al.: Reinforcement Learning on Pre-Training Data https://arxiv.org/abs/2509.19249 https://arxiv.org/pdf/2509.19249 https://arxiv.org/html/2509.19249

Rosero, Yeo, Mortensen, Slot, Hallac, Busso: Finding My Voice: Generative Reconstruction of Disordered Speech for Automated Clinical Evaluation https://arxiv.org/abs/2509.19231 https://arxiv.org/pdf/2509.19231 https://arxiv.org/html/2509.19231

Tongshuai Wu, Chao Lu, Ze Song, Yunlong Lin, Sizhe Fan, Xuemei Chen: MsFIN: Multi-scale Feature Interaction Network for Traffic Accident Anticipation https://arxiv.org/abs/2509.19227 https://arxiv.org/pdf/2509.19227 https://arxiv.org/html/2509.19227

Tariq Abdul-Quddoos, Xishuang Dong, Lijun Qian: Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction https://arxiv.org/abs/2509.19224 https://arxiv.org/pdf/2509.19224 https://arxiv.org/html/2509.19224

Ferdinand Kahenga, Antoine Bagula, Patrick Sello, Sajal K. Das: FedFusion: Federated Learning with Diversity- and Cluster-Aware Encoders for Robust Adaptation under Label Scarcity https://arxiv.org/abs/2509.19220 https://arxiv.org/pdf/2509.19220 https://arxiv.org/html/2509.19220

Yunzhi Xu, Yushuang Ding, Hu Sun, Hongxi Zhang, Li Zhao: HyKid: An Open MRI Dataset with Expert-Annotated Multi-Structure and Choroid Plexus in Pediatric Hydrocephalus https://arxiv.org/abs/2509.19218 https://arxiv.org/pdf/2509.19218 https://arxiv.org/html/2509.19218

Zheyuan Liu, Zhangchen Xu, Guangyao Dou, Xiangchi Yuan, Zhaoxuan Tan, Radha Poovendran, Meng Jiang: Steering Multimodal Large Language Models Decoding for Context-Aware Safety https://arxiv.org/abs/2509.19212 https://arxiv.org/pdf/2509.19212 https://arxiv.org/html/2509.19212

Lange, Gao, Sui, Money, Misner, Zitnik, Gehlenborg: YAC: Bridging Natural Language and Interactive Visual Exploration with Generative AI for Biomedical Data Discovery https://arxiv.org/abs/2509.19182 https://arxiv.org/pdf/2509.19182 https://arxiv.org/html/2509.19182

Natasha Butt, Ariel Kwiatkowski, Ismail Labiad, Julia Kempe, Yann Ollivier: Soft Tokens, Hard Truths https://arxiv.org/abs/2509.19170 https://arxiv.org/pdf/2509.19170 https://arxiv.org/html/2509.19170

Yun Wang, Junjie Hu, Junhui Hou, Chenghao Zhang, Renwei Yang, Dapeng Oliver Wu: RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions https://arxiv.org/abs/2509.19165 https://arxiv.org/pdf/2509.19165 https://arxiv.org/html/2509.19165

Madeleine I. G. Daepp, Alejandro Cuevas, Robert Osazuwa Ness, Vickie Yu-Ping Wang, Bharat Kumar Nayak, Dibyendu Mishra, Ti-Chung Cheng, Shaily Desai, Joyojeet Pal: Generative Propaganda https://arxiv.org/abs/2509.19147 https://arxiv.org/pdf/2509.19147 https://arxiv.org/html/2509.19147

Alejandro Cuevas, Saloni Dash, Bharat Kumar Nayak, Dan Vann, Madeleine I. G. Daepp: Anecdoctoring: Automated Red-Teaming Across Language and Place https://arxiv.org/abs/2509.19143 https://arxiv.org/pdf/2509.19143 https://arxiv.org/html/2509.19143

S\'ebastien Salva, Redha Taguelmimt: On the Soundness and Consistency of LLM Agents for Executing Test Cases Written in Natural Language https://arxiv.org/abs/2509.19136 https://arxiv.org/pdf/2509.19136 https://arxiv.org/html/2509.19136

Wenying Luo, Zhiyuan Lin, Wenhao Xu, Minghao Liu, Zhi Li: GSTM-HMU: Generative Spatio-Temporal Modeling for Human Mobility Understanding https://arxiv.org/abs/2509.19135 https://arxiv.org/pdf/2509.19135 https://arxiv.org/html/2509.19135

Chunming Ye, Wenquan Tian, Yalan Gao, Songzhou Li: Analysis on distribution and clustering of weight https://arxiv.org/abs/2509.19122 https://arxiv.org/pdf/2509.19122 https://arxiv.org/html/2509.19122

Ferdinand Kahenga, Antoine Bagula, Sajal K. Das, Patrick Sello: FedFiTS: Fitness-Selected, Slotted Client Scheduling for Trustworthy Federated Learning in Healthcare AI https://arxiv.org/abs/2509.19120 https://arxiv.org/pdf/2509.19120 https://arxiv.org/html/2509.19120

Hugo Math, Rainer Lienhart: Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation https://arxiv.org/abs/2509.19112 https://arxiv.org/pdf/2509.19112 https://arxiv.org/html/2509.19112

Xu, Zhang, Hu, Zhong, Bai, M\'arton, Bing, Chen, Knoll, Zhang: FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation https://arxiv.org/abs/2509.19102 https://arxiv.org/pdf/2509.19102 https://arxiv.org/html/2509.19102

Alexander Robey: Algorithms for Adversarially Robust Deep Learning https://arxiv.org/abs/2509.19100 https://arxiv.org/pdf/2509.19100 https://arxiv.org/html/2509.19100

Salemi, Li, Zhang, Mei, Li, Hombaiah, Kong, Chen, Zamani, Bendersky: Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering https://arxiv.org/abs/2509.19094 https://arxiv.org/pdf/2509.19094 https://arxiv.org/html/2509.19094

Hyeongju Kim, Yechan Yu, June Young Yi, Juheon Lee: Training Flow Matching Models with Reliable Labels via Self-Purification https://arxiv.org/abs/2509.19091 https://arxiv.org/pdf/2509.19091 https://arxiv.org/html/2509.19091

Wang, Zhao, Liu, Liu, Cao, Li, Liu, Sun, Zhou, Xing, Yang: Citrus-V: Advancing Medical Foundation Models with Unified Medical Image Grounding for Clinical Reasoning https://arxiv.org/abs/2509.19090 https://arxiv.org/pdf/2509.19090 https://arxiv.org/html/2509.19090

Tiany Peng, et al.: A Mega-Study of Digital Twins Reveals Strengths, Weaknesses and Opportunities for Further Improvement https://arxiv.org/abs/2509.19088 https://arxiv.org/pdf/2509.19088 https://arxiv.org/html/2509.19088

Asela Hevapathige: Graph Neural Networks with Similarity-Navigated Probabilistic Feature Copying https://arxiv.org/abs/2509.19084 https://arxiv.org/pdf/2509.19084 https://arxiv.org/html/2509.19084

Jiang, Liu, Qin, Tian, Zheng, Zhou, Yu, Li, Zhao: World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation https://arxiv.org/abs/2509.19080 https://arxiv.org/pdf/2509.19080 https://arxiv.org/html/2509.19080

Przemys{\l}aw Spyra: Beyond Backpropagation: Exploring Innovative Algorithms for Energy-Efficient Deep Neural Network Training https://arxiv.org/abs/2509.19063 https://arxiv.org/pdf/2509.19063 https://arxiv.org/html/2509.19063

Shuai Liu, Meng Cheng Lau: Reduced-Order Model-Guided Reinforcement Learning for Demonstration-Free Humanoid Locomotion https://arxiv.org/abs/2509.19023 https://arxiv.org/pdf/2509.19023 https://arxiv.org/html/2509.19023

Hazem Dewidar, Elena Umili: Fully Learnable Neural Reward Machines https://arxiv.org/abs/2509.19017 https://arxiv.org/pdf/2509.19017 https://arxiv.org/html/2509.19017

Dapeng Zhang, Jin Sun, Chenghui Hu, Xiaoyan Wu, Zhenlong Yuan, Rui Zhou, Fei Shen, Qingguo Zhou: Pure Vision Language Action (VLA) Models: A Comprehensive Survey https://arxiv.org/abs/2509.19012 https://arxiv.org/pdf/2509.19012 https://arxiv.org/html/2509.19012

Hao Wang, et al.: VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction https://arxiv.org/abs/2509.19002 https://arxiv.org/pdf/2509.19002 https://arxiv.org/html/2509.19002

Liu, Long, Wu, Hou, Tang, Jiang, Zhou, Yao: Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations https://arxiv.org/abs/2509.18953 https://arxiv.org/pdf/2509.18953 https://arxiv.org/html/2509.18953

Niccol\`o Rocchi, Fabio Stella, Cassio de Campos: Towards Privacy-Aware Bayesian Networks: A Credal Approach https://arxiv.org/abs/2509.18949 https://arxiv.org/pdf/2509.18949 https://arxiv.org/html/2509.18949

Matheus Vin\'icius Todescato, Joel Lu\'is Carbonera: No Labels Needed: Zero-Shot Image Classification with Collaborative Self-Learning https://arxiv.org/abs/2509.18938 https://arxiv.org/pdf/2509.18938 https://arxiv.org/html/2509.18938

Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki, Bruno Lacerda, Nick Hawes: Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning https://arxiv.org/abs/2509.18930 https://arxiv.org/pdf/2509.18930 https://arxiv.org/html/2509.18930

Amirhesam Aghanouri, Cristina Olaverri-Monreal: LiDAR Point Cloud Image-based Generation Using Denoising Diffusion Probabilistic Models https://arxiv.org/abs/2509.18917 https://arxiv.org/pdf/2509.18917 https://arxiv.org/html/2509.18917

Veronika Hackl, Alexandra Mueller, Maximilian Sailer: The AI Literacy Heptagon: A Structured Approach to AI Literacy in Higher Education https://arxiv.org/abs/2509.18900 https://arxiv.org/pdf/2509.18900 https://arxiv.org/html/2509.18900

Advik Raj Basani, Pin-Yu Chen: Diversity Boosts AI-Generated Text Detection https://arxiv.org/abs/2509.18880 https://arxiv.org/pdf/2509.18880 https://arxiv.org/html/2509.18880

Baiyu Chen, Benjamin Tag, Hao Xue, Daniel Angus, Flora Salim: When Ads Become Profiles: Large-Scale Audit of Algorithmic Biases and LLM Profiling Risks https://arxiv.org/abs/2509.18874 https://arxiv.org/pdf/2509.18874 https://arxiv.org/html/2509.18874

Nan, Chen, Huang, Lu, Wang, Xie, Xiong, Zeng, Zhou, Li, Xu: NGRPO: Negative-enhanced Group Relative Policy Optimization https://arxiv.org/abs/2509.18851 https://arxiv.org/pdf/2509.18851 https://arxiv.org/html/2509.18851

Su, Wan, Yang, Shi, Han, Luo, Qiu: Failure Makes the Agent Stronger: Enhancing Accuracy through Structured Reflection for Reliable Tool Interactions https://arxiv.org/abs/2509.18847 https://arxiv.org/pdf/2509.18847 https://arxiv.org/html/2509.18847

Pin-Yen Chiu, I-Sheng Fang, Jun-Cheng Chen: Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters https://arxiv.org/abs/2509.18831 https://arxiv.org/pdf/2509.18831 https://arxiv.org/html/2509.18831

Kuang Xiaodong, Li Bingxuan, Li Yuan, Rao Fan, Ma Gege, Xie Qingguo, Mok Greta S P, Liu Huafeng, Zhu Wentao: A Kernel Space-based Multidimensional Sparse Model for Dynamic PET Image Denoising https://arxiv.org/abs/2509.18801 https://arxiv.org/pdf/2509.18801 https://arxiv.org/html/2509.18801

War, Rawass, Kabore, Samhi, Klein, Bissyande: Detection of security smells in IaC scripts through semantics-aware code and language processing https://arxiv.org/abs/2509.18790 https://arxiv.org/pdf/2509.18790 https://arxiv.org/html/2509.18790

Shijia Ge, Yinxin Zhang, Shuzhao Xie, Weixiang Zhang, Mingcai Zhou, Zhi Wang: VGGT-DP: Generalizable Robot Control via Vision Foundation Models https://arxiv.org/abs/2509.18778 https://arxiv.org/pdf/2509.18778 https://arxiv.org/html/2509.18778