Mohsen Hariri, et al.: Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility https://arxiv.org/abs/2608.04001 https://arxiv.org/pdf/2608.04001 https://arxiv.org/html/2608.04001

Seyed Kahaki, Shijie Li, Weijie Chen, Nicholas Petrick: Assessment of Conditional Diffusion Model for Synthetic Histopathology Image Generation https://arxiv.org/abs/2608.03990 https://arxiv.org/pdf/2608.03990 https://arxiv.org/html/2608.03990

Arslan Battalov, Karim Kramin, Alexander Markotenko, Sofia Sinitsina: Muon Meets Mamba: Spectral Optimization for State Space Models https://arxiv.org/abs/2608.03941 https://arxiv.org/pdf/2608.03941 https://arxiv.org/html/2608.03941

Yuanshen Guan, Zipeng Feng, Zhiwei Xiong, Peiqin Sun: Latent Reward Registers for Diffusion Preference Alignment https://arxiv.org/abs/2608.03929 https://arxiv.org/pdf/2608.03929 https://arxiv.org/html/2608.03929

Mattias Luber, Timo Betz: A Physics-Flavored Transformer Network for Parametrizing Contraction Dynamics of Engineered Skeletal Muscle Tissues https://arxiv.org/abs/2608.03927 https://arxiv.org/pdf/2608.03927 https://arxiv.org/html/2608.03927

Mateusz Smendowski, Kamil Faber, Piotr Nawrocki, Nathalie Japkowicz, Roberto Corizzo: PRISM: Powerful Time Series to Image (TS2I) Representations for Multivariate Anomaly Detection https://arxiv.org/abs/2608.03926 https://arxiv.org/pdf/2608.03926 https://arxiv.org/html/2608.03926

Bartolo Dazzini, Giovanni Conforti, Alain Durmus, Aram-Alexandre Pooladian: Trajectory inference via Acceleration Matching https://arxiv.org/abs/2608.03916 https://arxiv.org/pdf/2608.03916 https://arxiv.org/html/2608.03916

Chuanhao Yan, Xuhan Huang, Yawen Duan, Zhenfei Yin, Hang Zhao, Bryan Dai, Jie Fu: Sparse Weight Decomposition for Efficient Circuit Extraction https://arxiv.org/abs/2608.03913 https://arxiv.org/pdf/2608.03913 https://arxiv.org/html/2608.03913

Heo, Shafipour, Zhao, Golub, Kamani, Borkar, Chandran, Zardoshti, Rouhani: Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse https://arxiv.org/abs/2608.03893 https://arxiv.org/pdf/2608.03893 https://arxiv.org/html/2608.03893

Alberto Acedo: Omega-S: A Functional Resilience Index for LLM Fine-Tuning https://arxiv.org/abs/2608.03887 https://arxiv.org/pdf/2608.03887 https://arxiv.org/html/2608.03887

Chenhan Xiao, Xinyu He, Haoran Li, Hanghang Tong, Yang Weng: Operationally Feasible Synthetic Power-Grid Scenarios via Learning the AC-Operable Joint Distribution https://arxiv.org/abs/2608.03878 https://arxiv.org/pdf/2608.03878 https://arxiv.org/html/2608.03878

Pyrros Koussios, Chenhao Li, Xin Chen, Andreas Krause: Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning https://arxiv.org/abs/2608.03875 https://arxiv.org/pdf/2608.03875 https://arxiv.org/html/2608.03875

Abhinav Thorat, Ravi Kumar Kolla, Vishak K Bhat, Harsh Vardhan Singh Chauhan, Niranjan Pedanekar: GENESIS: Towards Explainable Causal Discovery https://arxiv.org/abs/2608.03868 https://arxiv.org/pdf/2608.03868 https://arxiv.org/html/2608.03868

Guan Qiang, Yushen Chen, Tianlong Liu, David Rotenberg, Ethan H. Kim, Fang Fang: CRS-Triage: Confidence- and Reliability-Aware Selective Triage under Incomplete Clinical Evidence https://arxiv.org/abs/2608.03862 https://arxiv.org/pdf/2608.03862 https://arxiv.org/html/2608.03862

David Ming Segura, Jeremy Goumaz, Joshua W. Sin, Bojana Rankovi\'c, Philippe Schwaller: Bi-semantic Chemical Embedder for Joint Representation Learning of SMILES and Natural Language https://arxiv.org/abs/2608.03855 https://arxiv.org/pdf/2608.03855 https://arxiv.org/html/2608.03855

Anton Rasmussen, Hong Qin: Quantization Effects on Biomedical LLM Reliability https://arxiv.org/abs/2608.03854 https://arxiv.org/pdf/2608.03854 https://arxiv.org/html/2608.03854

Amin Farajzadeh, Melike Erol-Kantarci: FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs https://arxiv.org/abs/2608.03852 https://arxiv.org/pdf/2608.03852 https://arxiv.org/html/2608.03852

Sajjad Khan: Resume Means Resume: A Machine-Checked Conformance Contract for Checkpoint, Interrupt, and Resume Semantics in Workflow Persistence Layers https://arxiv.org/abs/2608.03836 https://arxiv.org/pdf/2608.03836 https://arxiv.org/html/2608.03836

Carson J. Cook, Ahmed J. Zerouali, Anthony Schmidt, Reginald Ziedzor, Paul Lin, Luke G. Eglington: UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics https://arxiv.org/abs/2608.03811 https://arxiv.org/pdf/2608.03811 https://arxiv.org/html/2608.03811

Andreas Sauter, Sumit Sourabh, Drona Kandhai, Erman Acar: Amortized Interventional Forecasting for Multivariate CIR Processes https://arxiv.org/abs/2608.03715 https://arxiv.org/pdf/2608.03715 https://arxiv.org/html/2608.03715

Congwei Song: To Describe or Construct Statistical Learning Models Using the Category-theoretical Language https://arxiv.org/abs/2608.03706 https://arxiv.org/pdf/2608.03706 https://arxiv.org/html/2608.03706

Nelson Aloysio Reis de Almeida Passos, Emanuele Carlini, Salvatore Trani: Learning and Clustering on Temporal Graphs: Principles, Primitives, and Pooling https://arxiv.org/abs/2608.03696 https://arxiv.org/pdf/2608.03696 https://arxiv.org/html/2608.03696

Edoardo Coppola, Stefano Fiorini, Pietro Li\`o, Mattia Savardi, Alberto Signoroni: LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics https://arxiv.org/abs/2608.03690 https://arxiv.org/pdf/2608.03690 https://arxiv.org/html/2608.03690

Jian Zhang, Bingyi Wang, Yizhi Liu: DiagLoop: A Counterfactual Data Flywheel with Stage-Localized Reinforcement for Diagnostic LLMs https://arxiv.org/abs/2608.03674 https://arxiv.org/pdf/2608.03674 https://arxiv.org/html/2608.03674

Jian Zhang, Bingyi Wang, Yizhi Liu: CausalOPD: First-Wrong-Step Supervision for Distilling Causal Chain Reasoning https://arxiv.org/abs/2608.03673 https://arxiv.org/pdf/2608.03673 https://arxiv.org/html/2608.03673

Jiawen Zhu, Shuhan Liu, Shengxuan Li, Qiming Shi, Di Weng: POEM: Phase-Aware $\mathrm{SO}(2)$ Feature Rotation for Time Series Forecasting Under Periodicity Drift https://arxiv.org/abs/2608.03630 https://arxiv.org/pdf/2608.03630 https://arxiv.org/html/2608.03630

Arash Vashagh, Yasmin Vashagh: ConformalShift: Targeted Event Reordering Against Adaptive ECG Monitoring https://arxiv.org/abs/2608.03628 https://arxiv.org/pdf/2608.03628 https://arxiv.org/html/2608.03628

Abdallah Khemais: A Theory of Conditional Collapse under Low-Rank Weight-Space Ablations: I. The Single-Block Theory and Synthetic Validation https://arxiv.org/abs/2608.03620 https://arxiv.org/pdf/2608.03620 https://arxiv.org/html/2608.03620

Schubert, Kasper, Linke, Herzog, Deutel, Plinge, Seuss, Mutschler: Design-Time Optimization of Deep Neural Networks for Intermittent Learning on Microcontrollers https://arxiv.org/abs/2608.03589 https://arxiv.org/pdf/2608.03589 https://arxiv.org/html/2608.03589

Xiang Li, Pengcheng Wang, Huazheng Wang, Saurabh Bagchi: Pin Once, Swap Light: Subspace-Aligned Centroid-Residual Training for Efficient Ultra-LoRA Serving https://arxiv.org/abs/2608.03579 https://arxiv.org/pdf/2608.03579 https://arxiv.org/html/2608.03579