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1 | arxiv | https://arxiv.org/abs/2608.20331v1 | G-CARL: Grounded Checklist-Aligned Reward Learning for Patient-Oriented Medical Report Interpretation | G-CARL: Grounded Checklist-Aligned Reward Learning for Patient-Oriented Medical Report Interpretation. Authors: Shiao Xie, Siyu Chen, Jianwei Lv, Bo Yuan, Yujin Wang. Categories: cs.CL cs.AI cs.CV. Personalized interpretation of medical reports has emerged as an increasingly important need among patients. Addressing th... | 2026-08-22T19:13:00.337167 |
2 | arxiv | https://arxiv.org/abs/2608.20320v1 | An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction | An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction. Authors: Narges Ahmadi, Yubo Jiao, Jônatas Augusto Manzolli, Jiangbo Yu, Luis Miranda-Moreno. Categories: cs.AI cs.CL. Travel behavior research increasingly combines digital data collection with predictive... | 2026-08-22T19:13:00.343221 |
3 | arxiv | https://arxiv.org/abs/2608.20319v1 | Inducing Task Models from Computer-Use Traces | Inducing Task Models from Computer-Use Traces. Authors: Yucheng Jiang, Zora Zhiruo Wang, Ruishi Chen, Diyi Yang. Categories: cs.CL cs.AI. Naturalistic computer-use traces, passively recorded screenshots and mouse or keyboard actions, are a valuable resource for deriving symbolic, auditable, and reusable models of how e... | 2026-08-22T19:13:00.350762 |
4 | arxiv | https://arxiv.org/abs/2608.20318v1 | AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement | AI4AI-Bench: Benchmarking LLM Agents in Algorithmic Design for Recursive Self-Improvement. Authors: Yizhe Chi, Wenyi Li, Deyao Hong, Xiaoqiu Wang, Mingju Gao. Categories: cs.AI cs.CL cs.LG. Recursive self-improvement (RSI) asks whether an AI system can improve the process that produces AI systems, so that the next syst... | 2026-08-22T19:13:00.360895 |
5 | arxiv | https://arxiv.org/abs/2608.20316v1 | Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation | Pandora's AI Model Routing Box: Efficient Allocation with Costly Value Estimation. Authors: Adam Fisch, Shubhendu Trivedi, Fantine Huot, William W. Cohen, Michael Kaisers. Categories: cs.AI. Heterogeneous AI systems composed of multiple models, architectures, harnesses, or inference-time settings can improve quality an... | 2026-08-22T19:13:00.367434 |
6 | arxiv | https://arxiv.org/abs/2608.20314v1 | MidTool: Mid-training Data Synthesis for Agentic Tool Use | MidTool: Mid-training Data Synthesis for Agentic Tool Use. Authors: Fengqing Jiang, Yite Wang, Boyi Liu, Zhaoyang Wang, Canwen Xu. Categories: cs.AI. Mid-training is increasingly recognized as a critical stage for shaping the capabilities of large language models. Recent work has shown that targeted mid-training can st... | 2026-08-22T19:13:00.373656 |
7 | arxiv | https://arxiv.org/abs/2608.20290v1 | Phantom Gains: Auditing Self-Improvement Against a Measured Null | Phantom Gains: Auditing Self-Improvement Against a Measured Null. Authors: Cheng Xu, Nan Yan, Liming Chen, M-Tahar Kechadi. Categories: cs.AI cs.CL. Whether a language model has improved itself is increasingly judged not by mean accuracy but by which individual problems it gains and loses. Tracking these transitions me... | 2026-08-22T19:13:00.380454 |
8 | arxiv | https://arxiv.org/abs/2608.20281v1 | Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization | Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization. Authors: Qian Kou, Xiaofeng Shi, Xiaosong Qiu, Hua Zhou. Categories: cs.CL cs.AI. Large language models often fail to answer questions about a bounded document collection when the source documents are not retrieved at in... | 2026-08-22T19:13:00.389169 |
9 | arxiv | https://arxiv.org/abs/2608.20274v1 | Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents | Break It Down, Pass It On: Cross-Task Skill Transfer in LLM Agents. Authors: Yiyang Feng, Biddut Sarker Bijoy, Niranjan Balasubramanian, Jiawei Zhou. Categories: cs.AI cs.CL. Large language model (LLM) agents can induce skills from completed tasks and reuse them later to grow more capable with experience. In practice, ... | 2026-08-22T19:13:00.393124 |
10 | arxiv | https://arxiv.org/abs/2608.20271v1 | Catching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine Learning | Catching the Rug: Early Prediction of Fraudulent Memecoins on Solana via Machine Learning. Authors: Jianghai Li, Pavel Kuznetsov, Yury Yanovich, Konstantin Nott-Whaley, Igor Vodolazov. Categories: cs.AI cs.DC. The rapid proliferation of memecoins on blockchain platforms has increased the risk of fraudulent activities, ... | 2026-08-22T19:13:00.399530 |
11 | arxiv | https://arxiv.org/abs/2608.20256v1 | Learning When to Think: Adaptive Reasoning for Test-Time Compute Allocation | Learning When to Think: Adaptive Reasoning for Test-Time Compute Allocation. Authors: Gijs Kassenaar, Zhao Yang, Vincent François-Lavet. Categories: cs.AI. Reasoning language models trained with reinforcement learning typically operate under a fixed token budget rather than an explicitly adaptive one, which can lead to... | 2026-08-22T19:13:00.404583 |
12 | arxiv | https://arxiv.org/abs/2608.20240v1 | QUASAR: A Quantum-Classical Neural Network for SAR Satellite Physical-Layer Authentication | QUASAR: A Quantum-Classical Neural Network for SAR Satellite Physical-Layer Authentication. Authors: Vincenzo Sammartino, Nathanael Denis, Roberto Di Pietro. Categories: cs.AI cs.CR. X-band SAR satellites (8-12 GHz) play a critical role in disaster response, environmental monitoring, and military intelligence. Yet, the... | 2026-08-22T19:13:00.410397 |
13 | arxiv | https://arxiv.org/abs/2608.20237v1 | Rule-Compliant Visual Spatial Planning for Multimodal Large Language Models | Rule-Compliant Visual Spatial Planning for Multimodal Large Language Models. Authors: Yu Chen, Ting Lei, Yaoyi Li, Jia Cai, Zhecen Wu. Categories: cs.AI. Multimodal large language models (MLLMs) combine linguistic reasoning with visual perception, yet their ability to perform visual spatial planning under explicit or p... | 2026-08-22T19:13:00.415861 |
14 | arxiv | https://arxiv.org/abs/2608.20231v1 | Growth Without Us: Machine Consumers, Corporate Circularity, and the Decoupling of GDP from Humanity after AGI | Growth Without Us: Machine Consumers, Corporate Circularity, and the Decoupling of GDP from Humanity after AGI. Authors: Sahil Sharma. Categories: physics.soc-ph cs.AI cs.CY. The standard objection to full automation is demand-side: if humans earn nothing, who buys the output? This confuses an accounting role with a bi... | 2026-08-22T19:13:00.422201 |
15 | arxiv | https://arxiv.org/abs/2608.20229v1 | Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation | Prompt-Conditioned Channel Attention for Hierarchical Feature Modulation toward Anatomy-Agnostic Segmentation. Authors: Mosharof Hossain, Md Rabiul Islam, Limon Halder, Erchin Serpedin, Md Kamrul Hasan. Categories: cs.CV cs.AI. Anatomically plausible segmentation remains challenging because of low contrast, ambiguous b... | 2026-08-22T19:13:00.429127 |
16 | arxiv | https://arxiv.org/abs/2608.20220v1 | InsufficiencyBench: Evaluating LLM legal advice on underspecified user queries | InsufficiencyBench: Evaluating LLM legal advice on underspecified user queries. Authors: Samuel J. Vincent, Daniel Calloway, Fangyi Yu, Andrew M. Bean, Nabeel Seedat. Categories: cs.AI. Legal AI systems are increasingly used to answer legal questions, yet existing benchmarks assume queries arrive fully specified. In pr... | 2026-08-22T19:13:00.435033 |
17 | arxiv | https://arxiv.org/abs/2608.20218v1 | Electronic Navigational Chart Change Classification | Electronic Navigational Chart Change Classification. Authors: Jacob Arndt, Abhishek Potnis, Alexandre Sorokine. Categories: cs.AI. Electronic Navigational Charts (ENCs) are geospatial vector datasets used in maritime navigation systems that represent hydrographic and navigational information such as depths, navigationa... | 2026-08-22T19:13:00.440885 |
18 | arxiv | https://arxiv.org/abs/2608.20210v1 | Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference | Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference. Authors: Christos Koutsiaris. Categories: cs.IR cs.AI cs.CL cs.LG. Small language models are usually built like large ones and then squeezed onto a CPU afterwards. We did the opposite: we fixed the target first, one user, one token at a time, 4-b... | 2026-08-22T19:13:00.448837 |
19 | arxiv | https://arxiv.org/abs/2608.20204v1 | ContractScrub: A benchmark for final review of legal contracts | ContractScrub: A benchmark for final review of legal contracts. Authors: Yejin Bang, Kirsty Fielding, Brandan Oliver, Brian Birke, Nabeel Seedat. Categories: cs.AI cs.CL. Legal work, with its heavy reliance on processing large amounts of text, is often considered one of the domains most exposed to the use of LLMs. Cont... | 2026-08-22T19:13:00.454600 |
20 | arxiv | https://arxiv.org/abs/2608.20202v1 | MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use | MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use. Authors: Mengru Wang, Haozhe Luo, Zhenqian Xu, Zhixiang Cui, Haoming Xu. Categories: cs.AI cs.CL cs.CY cs.DB cs.LG. Memory has become a key component of large language models, enabling them to retain information and learn from long-term interactions. However... | 2026-08-22T19:13:00.460599 |
21 | arxiv | https://arxiv.org/abs/2608.20201v1 | The Third Restructuring of Software Form: From the Three-Tier Architecture to Storage, Models, and Agents | The Third Restructuring of Software Form: From the Three-Tier Architecture to Storage, Models, and Agents. Authors: Wei Lin, Tao Zhou, Zhaofei Xie, Changgui Hong. Categories: cs.AI cs.SE. Software form has undergone two paradigm shifts since its inception: Software 1.0, in which instructions determine behavior, and Sof... | 2026-08-22T19:13:00.466731 |
22 | arxiv | https://arxiv.org/abs/2608.20195v1 | From Agent Behaviour to Agent-Friendly Documentation: An Empirical Study of How Coding Agents Discover, Read, and Write Technical Documentation | From Agent Behaviour to Agent-Friendly Documentation: An Empirical Study of How Coding Agents Discover, Read, and Write Technical Documentation. Authors: Zhijun Gao, Jing Chen. Categories: cs.SE cs.AI cs.HC. Technical documentation is written for human developers, but an increasing share of software changes is now auth... | 2026-08-22T19:13:00.471255 |
23 | arxiv | https://arxiv.org/abs/2608.20187v1 | Multi-Method Causal Evidence Synthesis: Ranking Candidate Drivers by Convergent Cross-Method Evidence from Observational Data | Multi-Method Causal Evidence Synthesis: Ranking Candidate Drivers by Convergent Cross-Method Evidence from Observational Data. Authors: Manish Gupta, Dipanjan De. Categories: stat.ME cs.AI. Practitioners inferring causality from observational data usually rely on a single method and treat its output as causal truth. Re... | 2026-08-22T19:13:00.479046 |
24 | arxiv | https://arxiv.org/abs/2608.20181v1 | A Standardized Framework for Machine Learning in Power System Protection | A Standardized Framework for Machine Learning in Power System Protection. Authors: Julian Oelhaf, Georg Kordowich, Paula Andrea Pérez-Toro, Christian Bergler, Johann Jäger. Categories: cs.LG cs.AI eess.SP. Studies of machine-learning-based power-system protection increasingly report near-perfect scores, yet the meaning... | 2026-08-22T19:13:00.484704 |
25 | arxiv | https://arxiv.org/abs/2608.20169v1 | Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection | Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection. Authors: Atsuyuki Miyai, Kiyoharu Aizawa, Toshihiko Yamasaki. Categories: cs.CL cs.AI cs.LG. We present a novel approach to efficient LLM agent harness optimization through adaptive validation task selection. Harness optimization iter... | 2026-08-22T19:13:00.493276 |
26 | arxiv | https://arxiv.org/abs/2608.20161v1 | DARS: Dual-Level Credit Assignment RL with Structured Reasoning for Instruction-Based Image Editing | DARS: Dual-Level Credit Assignment RL with Structured Reasoning for Instruction-Based Image Editing. Authors: Haoxiang Cao, Jiajiong Cao, Xuanpu Zhang, Changqian Yu, Chaoqun Wang. Categories: cs.AI. Instruction-based image editing uses a planner-renderer pipeline: a vision-language model (VLM) first converts the instru... | 2026-08-22T19:13:00.499239 |
27 | arxiv | https://arxiv.org/abs/2608.20114v1 | DECOWAM: Decoupled Whole-Body World-Action Model for Legged Mobile Manipulation | DECOWAM: Decoupled Whole-Body World-Action Model for Legged Mobile Manipulation. Authors: Siyuan Ma, Boshi Zhang, Yutian Zhang, Qinglian Wu, Jiaqi Zhai. Categories: cs.AI cs.RO. Mobile manipulation requires a robot to predict how locomotion and arm motion jointly alter future observations and control. Existing world-ac... | 2026-08-22T19:13:00.506239 |
28 | arxiv | https://arxiv.org/abs/2608.20104v1 | Structured Affinity for Unsupervised Visual Class-Incremental Memory in Deep Artificial Immune Networks | Structured Affinity for Unsupervised Visual Class-Incremental Memory in Deep Artificial Immune Networks. Authors: Siphesihle Sithungu. Categories: cs.CV cs.AI cs.LG. Artificial immune networks (AINs) are naturally memory-forming systems, but conventional visual AINs often rely on flattened vector affinity that ignores ... | 2026-08-22T19:13:00.512517 |
29 | arxiv | https://arxiv.org/abs/2608.20087v1 | Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking | Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking. Authors: Tao Huang, Ruofei Liu, Xuchen Tang, Xinyin Zhang, Junli Ren. Categories: cs.RO cs.AI. Humanoid robots have recently demonstrated promising capabilities in real-world ball sports. However, achieving professional m... | 2026-08-22T19:13:00.517030 |
30 | arxiv | https://arxiv.org/abs/2608.20084v1 | Evidence-Gated Task and Motion Planning with Vision-Language Models | Evidence-Gated Task and Motion Planning with Vision-Language Models. Authors: Tsunehiko Tanaka, Matthew Stephenson, Alistair Macvicar, Edgar Simo-Serra. Categories: cs.RO cs.AI. Robots executing long-horizon manipulation tasks from natural-language instructions must reason about both semantic task structure and geometr... | 2026-08-22T19:13:00.524847 |
31 | arxiv | https://arxiv.org/abs/2608.20338v1 | ConceptGuard: Benchmarking Context-Sensitive Unlearning in Large Language Models | ConceptGuard: Benchmarking Context-Sensitive Unlearning in Large Language Models. Authors: Sahil Kale, Ian Harris. Categories: cs.CL. Large Language Models (LLMs) increasingly require selective removal of harmful or sensitive knowledge, called unlearning, yet existing methods and benchmarks fail to evaluate this capabi... | 2026-08-22T19:13:04.201833 |
43 | arxiv | https://arxiv.org/abs/2608.20153v1 | FormalTCS: Benchmarking End-to-End Frontier Formal Theoretical Computer Science Research of Large Language Models | FormalTCS: Benchmarking End-to-End Frontier Formal Theoretical Computer Science Research of Large Language Models. Authors: Dingzirui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che. Categories: cs.CL. Large language models (LLMs) have shown growing potential for automated theoretical computer science (TCS) r... | 2026-08-22T19:13:04.274489 |
44 | arxiv | https://arxiv.org/abs/2608.20129v1 | Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving | Multi-Agent Orchestration with the Common-Sense Reasoning Capabilities of LLMs for Autonomous Driving. Authors: Mehdi Azarafza, Faezeh Pasandideh, Ali Ehteshami Bejnordi, Stefan Henkler, Achim Rettberg. Categories: cs.MA cs.CL cs.CV. Autonomous vehicles require robust perception and decision-making capabilities to oper... | 2026-08-22T19:13:04.282357 |
45 | arxiv | https://arxiv.org/abs/2608.20116v1 | When Text and Numbers Disagree: Evidence Arbitration in Large Language Models | When Text and Numbers Disagree: Evidence Arbitration in Large Language Models. Authors: Mattia Carletti, Edward Phillips, Fredrik K. Gustafsson, Patitapaban Palo, Lei Clifton. Categories: cs.CL. Large language models (LLMs) are increasingly used in settings where textual summaries, numerical observations, and external ... | 2026-08-22T19:13:04.288058 |
46 | arxiv | https://arxiv.org/abs/2608.20106v1 | OenoBench: A Wine-Domain Benchmark for Knowledge-Grounded Evaluation of Large Language Models | OenoBench: A Wine-Domain Benchmark for Knowledge-Grounded Evaluation of Large Language Models. Authors: Nikita Khudov. Categories: cs.CL. We introduce OenoBench, a wine-domain knowledge benchmark of 3,266 multiple-choice questions across six pillars (regions, grape varieties, viticulture, winemaking, producers, busines... | 2026-08-22T19:13:04.294628 |
47 | arxiv | https://arxiv.org/abs/2608.20099v1 | Reward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology Design | Reward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology Design. Authors: Poomphob Suwannapichat, Boonyarit Changaival, Caesar Wu, Pascal Bouvry. Categories: cs.MA cs.CL cs.LG. LLM-based Multi-Agent Systems (MAS) achieve strong performance on complex reasoning tasks by coordinating... | 2026-08-22T19:13:04.301004 |
48 | arxiv | https://arxiv.org/abs/2608.20083v1 | SABET-QA: Temporal Knowledge Graph Question Answering | SABET-QA: Temporal Knowledge Graph Question Answering. Authors: Brahim Touayouch, Mirette Moawad, Dmitry Akulov. Categories: cs.CL cs.AI. Question Answering over Temporal Knowledge Graphs (TKGQA) requires reasoning over time-sensitive facts, yet existing embedding-based methods struggle with multi-step queries due to s... | 2026-08-22T19:13:04.306459 |
49 | arxiv | https://arxiv.org/abs/2608.20061v1 | Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts | Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts. Authors: Nayeon Kim, Hojin Lee, Yunju Bak, Jaesun Park, Boseop Kim. Categories: cs.LG cs.AI cs.CL. Mixture-of-Experts (MoE) architectures significantly expand model capacity without a proportional increase in computa... | 2026-08-22T19:13:04.314859 |
50 | arxiv | https://arxiv.org/abs/2608.20047v1 | Auditing Cross-Lingual Fairness in Language Model Watermarking | Auditing Cross-Lingual Fairness in Language Model Watermarking. Authors: Alexander Nemecek, Osama Zafar, Debargha Ganguly, Vikash Singh, Vipin Chaudhary. Categories: cs.CL cs.CR cs.LG. Watermarking schemes for large language model output are evaluated almost exclusively on English text using each scheme's detection thr... | 2026-08-22T19:13:04.319698 |
51 | arxiv | https://arxiv.org/abs/2608.19981v1 | HealMed: Multilingual Evaluation of Large Language Models in Medicine | HealMed: Multilingual Evaluation of Large Language Models in Medicine. Authors: Yingjian Chen, Fan Gao, Sherry T. Tong, Haoyu Zhang, Aosong Feng. Categories: cs.CL. We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in each ... | 2026-08-22T19:13:04.328837 |
52 | arxiv | https://arxiv.org/abs/2608.19971v1 | Robust Incomplete Multimodal Sentiment Analysis via Iterative Proxy Correction | Robust Incomplete Multimodal Sentiment Analysis via Iterative Proxy Correction. Authors: Zhifa Geng, Subin Huang, Hao Guo, Junjie Chen, Sanmin Liu. Categories: cs.CL. Multimodal sentiment analysis aims to infer affective states by integrating language, visual, and acoustic cues. However, real-world multimodal inputs ar... | 2026-08-22T19:13:04.335264 |
53 | arxiv | https://arxiv.org/abs/2608.19957v1 | Natural Language Code Retrieval for 1C:Enterprise: An Open Benchmark and Efficient Bi-Encoder | Natural Language Code Retrieval for 1C:Enterprise: An Open Benchmark and Efficient Bi-Encoder. Authors: Konstantin Chesnokov, Chingiz Mingazov. Categories: cs.CL. Natural language code retrieval is a rapidly evolving task in computer science. However, the 1C:Enterprise ecosystem combines Russian syntax with highly doma... | 2026-08-22T19:13:04.345013 |
54 | arxiv | https://arxiv.org/abs/2608.19942v1 | Dynamic Gated Cross-Modal Fusion with Sarcastic-aware Contrastive Regularization for Multimodal Sarcasm Detection | Dynamic Gated Cross-Modal Fusion with Sarcastic-aware Contrastive Regularization for Multimodal Sarcasm Detection. Authors: Hao Guo, Subin Huang, Junjie Chen, Zhifa Geng, Sanmin Liu. Categories: cs.CL. Multimodal sarcasm detection aims to identify sarcastic intent from multimodal content, where inconsistencies between ... | 2026-08-22T19:13:04.353241 |
55 | arxiv | https://arxiv.org/abs/2608.19920v1 | Learning how to Forget: Fine-tuning for Long-Context Sparse Attention | Learning how to Forget: Fine-tuning for Long-Context Sparse Attention. Authors: Matthias Seeger, Zeyu Zhang, Vihang Patil, Konstantinos Benidis, Sebastian Schelter. Categories: cs.CL. A lot of prior work addressed key-value (KV) cache selection and compression by sparse attention to enable long-context inference for tr... | 2026-08-22T19:13:04.361220 |
56 | arxiv | https://arxiv.org/abs/2608.19893v1 | Interrupting the Loop: Periodic Subject Changes Raise Judged Surprise and Connection in Base Language Models | Interrupting the Loop: Periodic Subject Changes Raise Judged Surprise and Connection in Base Language Models. Authors: Roberto I. Ono Filho. Categories: cs.CL cs.AI. Where does the novelty a base language model produces with no task come from, and what can an LLM judge of a long stream actually see? We dismantle a cogn... | 2026-08-22T19:13:04.368848 |
57 | arxiv | https://arxiv.org/abs/2608.19880v1 | EnvHarness: Awakening Static Worlds for Agent Learning | EnvHarness: Awakening Static Worlds for Agent Learning. Authors: Chengsong Huang, Zifeng Wang, Rujun Han, Jun Yan, Yanfei Chen. Categories: cs.AI cs.CL cs.LG. LLM agents learn by interacting with environments, yet these environments are hand-built and static: blind to an agent's weaknesses, and quickly left behind as i... | 2026-08-22T19:13:04.379182 |
58 | arxiv | https://arxiv.org/abs/2608.19875v1 | A knowledge-guided agentic framework for mitigating patient-context ambiguity in health queries | A knowledge-guided agentic framework for mitigating patient-context ambiguity in health queries. Authors: Mahyar Abbasian, Saba A. Farahani, Arshia Ilaty, Hung Cao, Ramesh Jain. Categories: cs.CL cs.AI. Patients often submit short, underspecified queries to healthcare chatbots that lack the patient-specific information... | 2026-08-22T19:13:04.385199 |
59 | arxiv | https://arxiv.org/abs/2608.19861v1 | PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents | PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents. Authors: Seongjae Kang, Taehyung Yu, Sung Ju Hwang. Categories: cs.AI cs.CL cs.LG. Customer-service LLM agents must follow organizational policy when acting on a user's behalf. Compliance failures arise from either forb... | 2026-08-22T19:13:04.393030 |
60 | arxiv | https://arxiv.org/abs/2608.19825v1 | Towards Clinically Faithful Medical Image Captioning via Enhanced Vision-Language Alignment | Towards Clinically Faithful Medical Image Captioning via Enhanced Vision-Language Alignment. Authors: Yunseo Lee, Hyun Jun Kim, Heeseung Shin, Changwon Lim. Categories: cs.CV cs.CL. Medical image captioning is a technique that accelerates early-stage diagnostic workflows and enhances the interpretability of medical dia... | 2026-08-22T19:13:04.398700 |
61 | arxiv | https://arxiv.org/abs/2608.20337v1 | Information on trajectories: martingales and random times | Information on trajectories: martingales and random times. Authors: Akshay Balsubramani. Categories: math.PR cs.IT cs.LG math.ST. Accounting for information flow on the path space of trajectories of a nonnegative martingale yields exact variational identities for it, even at arbitrary random times. This recovers the wi... | 2026-08-22T19:13:08.028875 |
62 | arxiv | https://arxiv.org/abs/2608.20326v1 | $TCP_α$: Margin-Controlled Confidence estimation for reliable Music Information Retrieval | $TCP_α$: Margin-Controlled Confidence estimation for reliable Music Information Retrieval. Authors: Parampreet Singh, Anushka Singh, Sumit Kumar, Vipul Arora. Categories: eess.AS cs.LG. Deep neural networks are often overconfident, assigning high confidence even to incorrect predictions. Consequently, users lack a reli... | 2026-08-22T19:13:08.032739 |
63 | arxiv | https://arxiv.org/abs/2608.20322v1 | A comparison between ceiling-mounted FMCW, IR-UWB and Wi-Fi radar for in-bedroom human activity monitoring and sleep interruption detection | A comparison between ceiling-mounted FMCW, IR-UWB and Wi-Fi radar for in-bedroom human activity monitoring and sleep interruption detection. Authors: Anton Lambrecht, Reda El Hail, Xianjun Jiao, Pieter Crombez, Dominique Schreurs. Categories: cs.LG. Despite their growing importance for contact-free radio frequency (RF)... | 2026-08-22T19:13:08.039060 |
65 | arxiv | https://arxiv.org/abs/2608.20315v1 | Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records | Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records. Authors: Jun Ni Du, Lukas Adamek, Maxim Kryukov, Flavio Dormont, Ziv Bar-Joseph. Categories: cs.LG. Predictive models over structured electronic health records (EHRs) remain central to machine learning for healthcare, ... | 2026-08-22T19:13:08.050313 |
66 | arxiv | https://arxiv.org/abs/2608.20295v1 | Physical-Support Confidence Sets for Highly Coherent Dictionaries | Physical-Support Confidence Sets for Highly Coherent Dictionaries. Authors: Guan-Ju Peng. Categories: cs.LG eess.SP math.ST. Sparse pursuit after dictionary learning can yield a precise atom support even when its physical interpretation is not justified by the calibration data, especially for highly coherent dictionari... | 2026-08-22T19:13:08.056174 |
67 | arxiv | https://arxiv.org/abs/2608.20285v1 | Dynamic Structural Causal Modeling for Sleep | Dynamic Structural Causal Modeling for Sleep. Authors: Ranveer Singh, Saurabh Mathur, Pranuthi Tenali, Arun Badi, Sriraam Natarajan. Categories: cs.LG. The causal dynamics of sleep-disordered breathing are complex and vary across patient populations, hindering the development of targeted interventions. We learn dynamic... | 2026-08-22T19:13:08.061659 |
68 | arxiv | https://arxiv.org/abs/2608.20280v1 | Which Eviction Policy Should an LLM Cache Use? A Systematic Study Across Workloads, Capacities, and Encoders | Which Eviction Policy Should an LLM Cache Use? A Systematic Study Across Workloads, Capacities, and Encoders. Authors: Yash Kulkarni, Shubham Harkare, Arvind Suresh Yogesh Babu. Categories: cs.DB cs.LG. Semantic caches reuse an LLM response when the incoming query embedding lies near a cached query, but proposed evicti... | 2026-08-22T19:13:08.066989 |
69 | arxiv | https://arxiv.org/abs/2608.20258v1 | DICS: Data-Informed Centroid Splitting for Decision Tree Classifiers | DICS: Data-Informed Centroid Splitting for Decision Tree Classifiers. Authors: MD Saifur Rahman Mazumder, Feng Yu. Categories: cs.LG stat.ML. Decision tree-based models are widely used in machine learning due to their interpretability and strong empirical performance. However, training decision trees can be computation... | 2026-08-22T19:13:08.073723 |
70 | arxiv | https://arxiv.org/abs/2608.20255v1 | Transfer Learning in Nonparametric Regression with Deep ReLU Networks | Transfer Learning in Nonparametric Regression with Deep ReLU Networks. Authors: Junpeng Ren, Carlos Misael Madrid Padilla, Yanzhen Chen, Oscar Hernan Madrid Padilla. Categories: stat.ML cs.LG stat.ME. This paper develops a general transfer learning framework for nonparametric regression with data consisting of multiple... | 2026-08-22T19:13:08.078097 |
71 | arxiv | https://arxiv.org/abs/2608.20222v1 | Gravitational-wave parameter estimation with machine-learning generated surrogate waveforms | Gravitational-wave parameter estimation with machine-learning generated surrogate waveforms. Authors: Suyog Garg, Kipp Cannon. Categories: gr-qc astro-ph.IM cs.LG. The worldwide network of gravitational-wave detectors have detected more than 350 binary coalescence events till date. Future third-generation detectors, li... | 2026-08-22T19:13:08.085650 |
74 | arxiv | https://arxiv.org/abs/2608.20186v1 | Decoding silent reading from non-invasive EEG | Decoding silent reading from non-invasive EEG. Authors: Ingo Marquardt, Anthilia Alchanat, Priyanka Jain. Categories: cs.LG q-bio.NC. Non-invasive decoding of inner speech faces a fundamental data problem: a corpus pairing brain activity with a person's spontaneous inner monologue cannot be collected, and the available... | 2026-08-22T19:13:08.098331 |
75 | arxiv | https://arxiv.org/abs/2608.20183v1 | Exact Algebraic Computation of Learning Coefficients for Two-Dimensional Singular Models | Exact Algebraic Computation of Learning Coefficients for Two-Dimensional Singular Models. Authors: Grégoire Sergeant-Perthuis, Elias Tsigaridas, Jules Tsukahara. Categories: cs.LG cs.SC math.AG stat.ML. Classical information criteria such as the Bayesian Information Criterion (BIC) rely on regularity assumptions that b... | 2026-08-22T19:13:08.104563 |
77 | arxiv | https://arxiv.org/abs/2608.20172v1 | Ask Self, Ask Others: Relation Is All You Need | Ask Self, Ask Others: Relation Is All You Need. Authors: Yuting Ge, Pengju Yang, Mingkai Nie. Categories: cs.LG. Attention directly derives normalized information flow from pairwise scores. We introduce Relation, an alternative token-mixing primitive that first organizes pairwise evidence into explicit Self and Exchang... | 2026-08-22T19:13:08.114755 |
79 | arxiv | https://arxiv.org/abs/2608.20134v1 | Feature Evolution and Migration during Vision Transformer Training | Feature Evolution and Migration during Vision Transformer Training. Authors: Joonas Järve, Halil Ibrahim Aysel, Tarun Khajuria, Meelis Kull. Categories: cs.CV cs.LG. We present a novel view on feature evolution in Vision Transformers (ViTs) by visualizing the training process over two dimensions -- network depth (layer... | 2026-08-22T19:13:08.125143 |
80 | arxiv | https://arxiv.org/abs/2608.20123v1 | Discrete Diffusion Inference-Time Control with Nested Sequential Monte Carlo | Discrete Diffusion Inference-Time Control with Nested Sequential Monte Carlo. Authors: Lohithsai Yadala Chanchu, Hany Abdulsamad, Christian A. Naesseth. Categories: stat.ML cs.LG. We study inference-time control for text generation in discrete diffusion language models, where the goal is to steer sampling toward sequen... | 2026-08-22T19:13:08.128982 |
81 | arxiv | https://arxiv.org/abs/2608.20117v1 | SAE-Xplainers: Rule-Based Feature Interpretation for Extreme Earth Events | SAE-Xplainers: Rule-Based Feature Interpretation for Extreme Earth Events. Authors: Hugo Porta, Emanuele Dalsasso, Chang Xu, Theo Gnassounou, Devis Tuia. Categories: cs.LG. The emergence of large-scale Weather and Climate (W&C) datasets offers new opportunities for modeling extreme Earth events (ExEE) and their impacts... | 2026-08-22T19:13:08.133323 |
84 | arxiv | https://arxiv.org/abs/2608.20065v1 | Orthogonal JEPA: Factorized Predictive States for Latent World Models | Orthogonal JEPA: Factorized Predictive States for Latent World Models. Authors: Taoyong Cui, Pheng Ann Heng, Wanli Ouyang. Categories: cs.LG. World models construct latent states that support prediction, planning, and reasoning about an underlying system. Joint-embedding predictive architectures (JEPAs) offer a direct ... | 2026-08-22T19:13:08.151650 |
86 | arxiv | https://arxiv.org/abs/2608.20054v1 | What You Can't See Is What You Learn: Restricted Evidence Visibility Favors Compositional Generalization in Shared-Genome Language-Model Societies | What You Can't See Is What You Learn: Restricted Evidence Visibility Favors Compositional Generalization in Shared-Genome Language-Model Societies. Authors: Narcis Marincat. Categories: cs.AI cs.LG cs.MA. Multi-module systems often expose every module to the full input. We test whether restricting evidence visibility c... | 2026-08-22T19:13:08.161121 |
87 | arxiv | https://arxiv.org/abs/2608.20052v1 | DecoVAE: a Lightweight Interpretable Trend-Seasonal VAE Framework for Efficient Probabilistic Time Series Forecasting | DecoVAE: a Lightweight Interpretable Trend-Seasonal VAE Framework for Efficient Probabilistic Time Series Forecasting. Authors: Alexander Marusov, Dmitry Anikin, Alexey Zaytsev. Categories: cs.LG. Probabilistic time series forecasting remains challenging, largely because modeling distinct trend and seasonal dynamics re... | 2026-08-22T19:13:08.167180 |
89 | arxiv | https://arxiv.org/abs/2608.20044v1 | End-to-end Early Classification of Time Series in Non-Stationary Environments | End-to-end Early Classification of Time Series in Non-Stationary Environments. Authors: Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire. Categories: cs.LG. Early Classification of Time Series (ECTS) requires making accurate decisions as early as possible in inherently online and evolving environment... | 2026-08-22T19:13:08.178636 |
90 | arxiv | https://arxiv.org/abs/2608.20038v1 | An Inclusive and Lightweight Approach to Federated Continual Learning for Cultural Heritage | An Inclusive and Lightweight Approach to Federated Continual Learning for Cultural Heritage. Authors: Ioannis Theologitis, Debin Meng, Stylianos Eleftheriadis, Vasileios Lolis, Konstantinos Votis. Categories: cs.LG cs.AI cs.CV. Artificial intelligence can support cultural heritage and digital humanities through large-s... | 2026-08-22T19:13:08.184636 |
92 | arxiv | https://arxiv.org/abs/2608.20160v1 | Chameleon: Robust Defense Against Tor Website Fingerprinting via Many-to-Many Traffic Morphing | Chameleon: Robust Defense Against Tor Website Fingerprinting via Many-to-Many Traffic Morphing. Authors: Yuwen Cui, Kai Wei, Kehan Shen, Ning Wang, Zhuo Lu. Categories: cs.CR cs.CY. Website fingerprinting (WF) attacks can infer users' browsing activities from encrypted Tor traffic by exploiting side-channel features. A... | 2026-08-22T19:13:11.830622 |
93 | arxiv | https://arxiv.org/abs/2608.20145v1 | Trustworthy mobile edge caching: a blockchain approach to mitigate malicious nodes and incentivize cache sharing | Trustworthy mobile edge caching: a blockchain approach to mitigate malicious nodes and incentivize cache sharing. Authors: Motahare Ebrahimi, Nastooh Taheri Javan, Seyedakbar Mostafavi, Fatemeh Pakzaban. Categories: cs.CR cs.CY. As mobile network traffic continues to grow, content caching on edge servers is critical fo... | 2026-08-22T19:13:11.837265 |
94 | arxiv | https://arxiv.org/abs/2608.20118v1 | Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation | Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation. Authors: Ş. Selcan Magara, Esther Havemann, Debora Jutz, Ali Burak Ünal, Mete Akgün. Categories: cs.CR. The detection of rare disease-associated cell subsets from high-dimensional single-cell measurements is critica... | 2026-08-22T19:13:11.842601 |
95 | arxiv | https://arxiv.org/abs/2608.20108v1 | A Meta-Study on Replication Papers in Usable Security & Privacy | A Meta-Study on Replication Papers in Usable Security & Privacy. Authors: Christian Mack, Benjamin Berens, Hanna Algedri, Tobias Hilt, Daniela Reimer. Categories: cs.CR. The field of usable security and privacy research is a young and expanding field, which is still developing standards for its research, e.g. regarding... | 2026-08-22T19:13:11.848552 |
96 | arxiv | https://arxiv.org/abs/2608.20097v1 | TrustRAG: Blockchain-Enhanced RAG via Committee-Based Credibility Scoring | TrustRAG: Blockchain-Enhanced RAG via Committee-Based Credibility Scoring. Authors: Baixiang Liu, Haotian Che, Yuan Li. Categories: cs.CR cs.DC. Retrieval-Augmented Generation (RAG) lets Large Language Models (LLMs) pull in up-to-date, domain-specific information instead of relying only on what they were trained on. Ye... | 2026-08-22T19:13:11.852903 |
97 | arxiv | https://arxiv.org/abs/2608.20055v1 | EchoCoT: Extracting Hidden Chain-of-Thought from Large Reasoning Models | EchoCoT: Extracting Hidden Chain-of-Thought from Large Reasoning Models. Authors: Yiting Qu, Ziqing Yang, Chi Cui, Ye Leng, Junjie Chu. Categories: cs.CR cs.AI. Hidden chain-of-thought (CoT) traces, especially those from frontier proprietary large reasoning models (LRMs), are valuable model assets. Yet whether these hi... | 2026-08-22T19:13:11.860629 |
99 | arxiv | https://arxiv.org/abs/2608.19982v1 | COPA: Continual Preference Optimization for Adaptive Prompt Injection Defense | COPA: Continual Preference Optimization for Adaptive Prompt Injection Defense. Authors: Roshan Sood, Onat Gungor, Tajana Rosing. Categories: cs.CR. LLMs remain vulnerable to prompt injection attacks, where adversarial instructions embedded in user inputs or external content manipulate model behavior and bypass safeguar... | 2026-08-22T19:13:11.869491 |
100 | arxiv | https://arxiv.org/abs/2608.19959v1 | Tracking the Trend in How Speech Synthesizers Deceive People | Tracking the Trend in How Speech Synthesizers Deceive People. Authors: Milan Šalko, Anton Firc, Kamil Malinka, Vojtěch Staněk, Martin Perešini. Categories: cs.CR cs.SD eess.AS. Advances in speech synthesis have made deepfake audio highly realistic. Earlier studies reported 70-80% human detection accuracy, but relied pr... | 2026-08-22T19:13:11.876378 |
101 | arxiv | https://arxiv.org/abs/2608.19938v1 | From Noise to Signal: Improving Security Log Anomaly Detection Using LLMs with Endpoint-Specific Logs | From Noise to Signal: Improving Security Log Anomaly Detection Using LLMs with Endpoint-Specific Logs. Authors: Christopher Henshaw, Gour Karmakar. Categories: cs.CR cs.LG. Existing approaches to anomalous behaviour log detection, such as Wazuh rely primarily on predefined detection rules, while statistical anomaly det... | 2026-08-22T19:13:11.881216 |
102 | arxiv | https://arxiv.org/abs/2608.19937v1 | ShadowPath: Lookup-Private Credential Status Verification over Authenticated State | ShadowPath: Lookup-Private Credential Status Verification over Authenticated State. Authors: Patrick Herbke, Wolf Rieder, Christian René Sechting, Huaning Yang, Sid Lamichhane. Categories: cs.CR. Verifiable credentials let holders present digitally signed claims without requiring the issuer to participate in every pres... | 2026-08-22T19:13:11.886642 |
103 | arxiv | https://arxiv.org/abs/2608.19924v1 | Securing Filesystems for Confidential Computing | Securing Filesystems for Confidential Computing. Authors: Dimitra Giantsidi, Antoine Delignat-Lavaud, Cédric Fournet, Jinnan Guo, Heidi Howard. Categories: cs.CR. Confidential computing protects applications inside Trusted Execution Environments (TEEs), but it leaves storage vulnerable. Even with disk encryption, a mal... | 2026-08-22T19:13:11.894743 |
104 | arxiv | https://arxiv.org/abs/2608.19901v1 | MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill Detection | MaliciousSkillBench: A Comprehensive Benchmark for Malicious Agent Skill Detection. Authors: Yue Wang, Yi Liu, Gelei Deng, Ying Zhang, Yuekang Li. Categories: cs.CR cs.AI. Agent Skills extend LLM agents with reusable instruction packages that may also include scripts, resources, and service configuration. This creates ... | 2026-08-22T19:13:11.898404 |
105 | arxiv | https://arxiv.org/abs/2608.19857v1 | Inadvertent Context Leakage in Language Models | Inadvertent Context Leakage in Language Models. Authors: Jaiden Fairoze, Neal Mangaokar, Kamalika Chaudhuri, Sanjam Garg, Saeed Mahloujifar. Categories: cs.LG cs.CR. For AI agents to be useful beyond simple chat, they must hold sensitive user context such as calendars, credentials, health records, and financial data. W... | 2026-08-22T19:13:11.904551 |
106 | arxiv | https://arxiv.org/abs/2608.19821v1 | Survival of~the~Stealthiest: Evolving Low-Entropy Ransomware via~Genetic Algorithms | Survival of~the~Stealthiest: Evolving Low-Entropy Ransomware via~Genetic Algorithms. Authors: Efrat Levenberg, Kristina Sviazhina, Ayelet Butman, Pierre Parrend, Harel Berger. Categories: cs.CR. Traditional ransomware deployment often relies on massive encryption procedure, triggering immediate detection by modern defe... | 2026-08-22T19:13:11.909192 |
107 | arxiv | https://arxiv.org/abs/2608.19750v1 | TGL-APT: Temporal Graph Learning with Graph Distillation for Efficient APT Investigation | TGL-APT: Temporal Graph Learning with Graph Distillation for Efficient APT Investigation. Authors: Jing Chen, Ayong Ye, Yuanhuang Liu, Yuexin Zhang. Categories: cs.CR. Advanced Persistent Threat (APT) attacks pose a critical challenge to modern systems, as their stealthy, multi-stage nature renders conventional detecti... | 2026-08-22T19:13:11.914610 |
108 | arxiv | https://arxiv.org/abs/2608.19650v1 | Enhancing Privacy in Federated Learning via Dual Obfuscation of Gradients and Training Images | Enhancing Privacy in Federated Learning via Dual Obfuscation of Gradients and Training Images. Authors: Yuki Itabashi, Hiroto Sawada, Mare Hirose, Shoko Imaizumi, Hitoshi Kiya. Categories: cs.CR. Federated learning enables collaborative model training while keeping data locally at each client; however, recent studies h... | 2026-08-22T19:13:11.919917 |
109 | arxiv | https://arxiv.org/abs/2608.19534v1 | AEGIS: Attention-Embedding Gradient Isolation Shield - Triple-Channel Gradient Masking for Privacy-Preserving Federated LLM Fine-Tuning | AEGIS: Attention-Embedding Gradient Isolation Shield - Triple-Channel Gradient Masking for Privacy-Preserving Federated LLM Fine-Tuning. Authors: Ye Tao, Hong Shen, Hui Tian, Xin Wang, Can Wang. Categories: cs.CR. Gradient inversion attacks recover private training text from gradients shared in federated learning, posi... | 2026-08-22T19:13:11.925792 |
110 | arxiv | https://arxiv.org/abs/2608.19462v1 | A Federated Learning Framework for Privacy-Preserving Oral Cancer Screening on Smartphones | A Federated Learning Framework for Privacy-Preserving Oral Cancer Screening on Smartphones. Authors: Lena D. Swamikannan, Akshay Bhagwan Sonawane, Jay S. Patel, C. S. Mani, Lakshmi Narayana. Categories: cs.CR. Data are the cornerstone of robust AI models. However, in the medical domain, access to reliable data is const... | 2026-08-22T19:13:11.931975 |
111 | arxiv | https://arxiv.org/abs/2608.19430v1 | HARP: Hierarchical Adaptive Ranking with Preference-Adaptive Fusion for Query-Based CVE Prioritization | HARP: Hierarchical Adaptive Ranking with Preference-Adaptive Fusion for Query-Based CVE Prioritization. Authors: Haochen Liu, Zhengzhang Chen, Haoyu Wang, Yanchi Liu, Jundong Li. Categories: cs.IR cs.CL cs.CR. Vulnerability prioritization is inherently preference dependent, since the same CVE can receive different reme... | 2026-08-22T19:13:11.936551 |
112 | arxiv | https://arxiv.org/abs/2608.19401v1 | Redactable blockchains and polynomial equations | Redactable blockchains and polynomial equations. Authors: Alexander Demin, Alexey Ovchinnikov, Vladimir Shpilrain. Categories: cs.CR cs.NI. We develop new tools for constructing redactable authenticated data structures with post-quantum security. In our construction, inverting the proposed one-way function means solvin... | 2026-08-22T19:13:11.942138 |
113 | arxiv | https://arxiv.org/abs/2608.19387v1 | Aray: Deterministic-First Synthesis of Benign Artifacts for YARA Validation | Aray: Deterministic-First Synthesis of Benign Artifacts for YARA Validation. Authors: Emanuel C. A. Valente, Lourenço A. P. Júnior, Leonardo Gonçalves Chahud, Júlio Cezar Estrella, Marcus Botacin. Categories: cs.CR. A YARA rule is easy to distribute, but the malware sample used to demonstrate a positive match is not. T... | 2026-08-22T19:13:11.947321 |
114 | arxiv | https://arxiv.org/abs/2608.19369v1 | Linguistic Holonomy and Statistical Watermarks: Inner Geometry of Meaning-Preserving Transformations | Linguistic Holonomy and Statistical Watermarks: Inner Geometry of Meaning-Preserving Transformations. Authors: Daniele Corradetti. Categories: cs.CL cs.CR math.DG. Statistical watermarks for language models live in the freedom of the signifier: they choose among tokens that are nearly equivalent in meaning, and they ar... | 2026-08-22T19:13:11.953255 |
115 | arxiv | https://arxiv.org/abs/2608.19191v1 | The Structured Totient Preimage Problem: Reconstruction, Collisions, and Cryptographic Implications | The Structured Totient Preimage Problem: Reconstruction, Collisions, and Cryptographic Implications. Authors: Luis Adrián Lizama-Pérez. Categories: cs.CR. We define and study the Structured Totient Preimage (STP) problem as a restricted reconstruction relation with a direct cryptographic motivation. Let $p_1,\ldots,p_k... | 2026-08-22T19:13:11.959230 |
116 | arxiv | https://arxiv.org/abs/2608.19190v1 | SiNMULI: Novel Signed Network Approach for Malicious URL Identification | SiNMULI: Novel Signed Network Approach for Malicious URL Identification. Authors: Avijit Gayen, Sayan Mondal, Angshuman Jana. Categories: cs.CR cs.NI cs.SE cs.SI eess.SY. In today's era of rapid advancements in artificial intelligence, computer security and online safeguarding measures have undergone significant improv... | 2026-08-22T19:13:11.966625 |
117 | arxiv | https://arxiv.org/abs/2608.19161v1 | Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication | Beyond the Transcript: Detecting Covert Co ordination in Latent Multi-Agent Communication. Authors: Ramneet Kaur, Pradyumna Chari, Ramesh Raskar, Jugad Singh, Sumit Kumar Jha. Categories: cs.AI cs.CR. Language-model agents can communicate through continuous hidden states that are invisible in public transcripts, creati... | 2026-08-22T19:13:11.970483 |
118 | arxiv | https://arxiv.org/abs/2608.19155v1 | FedGuard-DC: Privacy-Preserving Federated Load Forecasting and Cyber-Attack Detection for Data-Center Loads in Transmission Systems | FedGuard-DC: Privacy-Preserving Federated Load Forecasting and Cyber-Attack Detection for Data-Center Loads in Transmission Systems. Authors: Md Kibria Saroare, Md Rubel Ahmed. Categories: cs.CR. The rapid growth of large data-center (DC) loads is creating new challenges for power-system visibility, privacy, and cyber-... | 2026-08-22T19:13:11.976603 |
119 | arxiv | https://arxiv.org/abs/2608.19135v1 | Autonomous Cyber Defense in Connected Vehicles: A Multi-Agent Approach to V2X Security | Autonomous Cyber Defense in Connected Vehicles: A Multi-Agent Approach to V2X Security. Authors: Krishna Teja Medam. Categories: cs.CR cs.DC cs.MA cs.NI. A connected vehicle has roughly 100 milliseconds to decide whether an incoming Basic Safety Message is real or fabricated. If a false emergency braking alert reaches ... | 2026-08-22T19:13:11.982407 |
120 | arxiv | https://arxiv.org/abs/2608.19302v1 | ABEAT: Efficient and Anonymous Encryption for ABE-based Dynamic Group Communication | ABEAT: Efficient and Anonymous Encryption for ABE-based Dynamic Group Communication. Authors: Hongmiao Yu, Silas Richelson, Jiachen Chen, K. K. Ramakrishnan. Categories: cs.CR cs.NI. Confidential communication among a dynamic group of participants that ensures flexible and efficient many-to- many communication is highl... | 2026-08-22T19:13:11.988616 |
121 | arxiv | https://arxiv.org/abs/2608.20340v1 | Group-theoretic treatment of strong light-matter coupling with an arbitrary number of excitations | Group-theoretic treatment of strong light-matter coupling with an arbitrary number of excitations. Authors: Antti Peltola, Olli Siltanen, Kimmo Luoma, Konstantinos S. Daskalakis. Categories: quant-ph. Strong light-matter interactions in optical microcavities give rise to hybrid light-matter states known as polaritons. ... | 2026-08-22T19:13:16.184885 |
124 | arxiv | https://arxiv.org/abs/2608.20335v1 | 4DAnyone: Create Anyone in 4D from a Casual Monocular Video | 4DAnyone: Create Anyone in 4D from a Casual Monocular Video. Authors: Yudong Jin, Tao Xie, Qihang Zhang, Zehong Shen, Zhen Xu. Categories: cs.CV. We present 4DAnyone, a framework for reconstructing 4D humans from an uncalibrated monocular video by generating reconstruction-grade multiview-consistent videos and lifting ... | 2026-08-22T19:13:16.201942 |
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