{"date":"2025-11-13","schema_version":1,"captured_at":"2026-08-25T22:56:14.300Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Cleto Escobedo III","views":365511,"rank":3,"extract":"Cleto Valentine Escobedo III was an American musician and bandleader. He led Cleto and the Cletones, the house band for Jimmy Kimmel Live!, appearing on the show from its inception in 2003 until his death in 2025. Escobedo began his career touring with Paula A","url":"https://en.wikipedia.org/wiki/Cleto_Escobedo_III","thumb":"https://upload.wikimedia.org/wikipedia/en/b/b2/CletoEscobedoIII.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Dharmendra","views":327746,"rank":4,"extract":"Dharmendra was an Indian actor, producer and politician, primarily known for his work in Hindi films. 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In such scenarios, fine-tuning the pre-trained CNN is difficult due to data scarcity, necessitating the use of fixed weights. However, when the weights are kept fixed, many filters that do not contribute to","authors":["Daisuke Yasui","Toshitaka Matsuki","Hiroshi Sato"],"url":"http://arxiv.org/abs/2511.10861v3","arxiv_id":"2511.10861v3","published":"2025-11-13T23:52:57Z"},{"title":"HPCAgentTester: A Multi-Agent LLM Approach for Enhanced HPC Unit Test Generation","abstract":"Unit testing in High-Performance Computing (HPC) is critical but challenged by parallelism, complex algorithms, and diverse hardware. Traditional methods often fail to address non-deterministic behavior and synchronization issues in HPC applications. This paper introduces HPCAgentTester, a novel multi-agent Large Language Model (LLM) framework designed to automate and enhance unit test generation for HPC software uti","authors":["Rabimba Karanjai","Lei Xu","Weidong Shi"],"url":"http://arxiv.org/abs/2511.10860v1","arxiv_id":"2511.10860v1","published":"2025-11-13T23:52:53Z"},{"title":"Enhancing Demand-Oriented Regionalization with Agentic AI and Local Heterogeneous Data for Adaptation Planning","abstract":"Conventional planning units or urban regions, such as census tracts, zip codes, or neighborhoods, often do not capture the specific demands of local communities and lack the flexibility to implement effective strategies for hazard prevention or response. To support the creation of dynamic planning units, we introduce a planning support system with agentic AI that enables users to generate demand-oriented regions for ","authors":["Seyedeh Mobina Noorani","Shangde Gao","Changjie Chen","Karla Saldana Ochoa"],"url":"http://arxiv.org/abs/2511.10857v1","arxiv_id":"2511.10857v1","published":"2025-11-13T23:50:36Z"},{"title":"Advanced Assistance for Traffic Crash Analysis: An AI-Driven Multi-Agent Approach to Pre-Crash Reconstruction","abstract":"Traffic collision reconstruction traditionally relies on human expertise and can be accurate, but pre-crash reconstruction is more challenging. This study develops a multi-agent AI framework that reconstructs pre-crash scenarios and infers vehicle behaviors from fragmented collision data. We propose a two-phase collaborative framework with reconstruction and reasoning stages. The system processes 277 rear-end lead ve","authors":["Gerui Xu","Boyou Chen","Huizhong Guo","Dave LeBlanc","Arpan Kusari","Efe Yarbasi"],"url":"http://arxiv.org/abs/2511.10853v2","arxiv_id":"2511.10853v2","published":"2025-11-13T23:32:25Z"},{"title":"Adaptive Digital Twin of Sheet Metal Forming via Proper Orthogonal Decomposition-Based Koopman Operator with Model Predictive Control","abstract":"Digital Twin (DT) technologies are transforming manufacturing by enabling real-time prediction, monitoring, and control of complex processes. Yet, applying DT to deformation-based metal forming remains challenging because of the strongly coupled spatial-temporal behavior and the nonlinear relationship between toolpath and material response. For instance, sheet-metal forming by the English wheel, a highly flexible but","authors":["Yi-Ping Chen","Derick Suarez","Ying-Kuan Tsai","Vispi Karkaria","Guanzhong Hu","Zihan Chen"],"url":"http://arxiv.org/abs/2511.10852v1","arxiv_id":"2511.10852v1","published":"2025-11-13T23:24:17Z"},{"title":"Leveraging Parameter Space Symmetries for Reasoning Skill Transfer in LLMs","abstract":"Task arithmetic is a powerful technique for transferring skills between Large Language Models (LLMs), but it often suffers from negative interference when models have diverged during training. We address this limitation by first aligning the models' parameter spaces, leveraging the inherent permutation, rotation, and scaling symmetries of Transformer architectures. We adapt parameter space alignment for modern Groupe","authors":["Stefan Horoi","Sangwoo Cho","Supriyo Chakraborty","Shi-Xiong Zhang","Sambit Sahu","Guy Wolf"],"url":"http://arxiv.org/abs/2511.10850v1","arxiv_id":"2511.10850v1","published":"2025-11-13T23:20:57Z"},{"title":"STAMP: Spatial-Temporal Adapter with Multi-Head Pooling","abstract":"Time series foundation models (TSFMs) pretrained on data from multiple domains have shown strong performance on diverse modeling tasks. Various efforts have been made to develop foundation models specific to electroencephalography (EEG) data, which records brain electrical activity as time series. However, no comparative analysis of EEG-specific foundation models (EEGFMs) versus general TSFMs has been performed on EE","authors":["Brad Shook","Abby Turner","Jieshi Chen","Michał Wiliński","Mononito Goswami","Jonathan Elmer"],"url":"http://arxiv.org/abs/2511.10848v2","arxiv_id":"2511.10848v2","published":"2025-11-13T23:19:53Z"},{"title":"LM4Opt-RA: A Multi-Candidate LLM Framework with Structured Ranking for Automating Network Resource Allocation","abstract":"Building on advancements in Large Language Models (LLMs), we can tackle complex analytical and mathematical reasoning tasks requiring nuanced contextual understanding. A prime example of such complex tasks is modelling resource allocation optimization in networks, which extends beyond translating natural language inputs into mathematical equations or Linear Programming (LP), Integer Linear Programming (ILP), and Mixe","authors":["Tasnim Ahmed","Siana Rizwan","Naveed Ejaz","Salimur Choudhury"],"url":"http://arxiv.org/abs/2512.00039v1","arxiv_id":"2512.00039v1","published":"2025-11-13T23:19:43Z"},{"title":"Can AI Models be Jailbroken to Phish Elderly Victims? An End-to-End Evaluation","abstract":"We present an end-to-end demonstration of how attackers can exploit AI safety failures to harm vulnerable populations: from jailbreaking LLMs to generate phishing content, to deploying those messages against real targets, to successfully compromising elderly victims. We systematically evaluated safety guardrails across six frontier LLMs spanning four attack categories, revealing critical failures where several models","authors":["Fred Heiding","Simon Lermen"],"url":"http://arxiv.org/abs/2511.11759v1","arxiv_id":"2511.11759v1","published":"2025-11-13T23:16:41Z"},{"title":"Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English","abstract":"Automated emotion detection is widely used in applications ranging from well-being monitoring to high-stakes domains like mental health and hiring. However, models often rely on annotations that reflect dominant cultural norms, limiting model ability to recognize emotional expression in dialects often excluded from training data distributions, such as African American Vernacular English (AAVE). This study examines em","authors":["Rebecca Dorn","Christina Chance","Casandra Rusti","Charles Bickham","Kai-Wei Chang","Fred Morstatter"],"url":"http://arxiv.org/abs/2511.10846v1","arxiv_id":"2511.10846v1","published":"2025-11-13T23:13:08Z"},{"title":"Optimal Welfare in Noncooperative Network Formation under Attack","abstract":"Communication networks are essential for our economy and our everyday lives. This makes them lucrative targets for attacks. Today, we see an ongoing battle between criminals that try to disrupt our key communication networks and security professionals that try to mitigate these attacks. However, today's networks, like the Internet or peer-to-peer networks among smart devices, are not controlled by a single authority,","authors":["Natan Doubez","Pascal Lenzner","Marcus Wunderlich"],"url":"http://arxiv.org/abs/2511.10845v1","arxiv_id":"2511.10845v1","published":"2025-11-13T23:12:10Z"},{"title":"Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning","abstract":"Many reinforcement learning algorithms, particularly those that rely on return estimates for policy improvement, can suffer from poor sample efficiency and training instability due to high-variance return estimates. In this paper we leverage new results from off-policy evaluation; it has recently been shown that well-designed behaviour policies can be used to collect off-policy data for provably lower variance return","authors":["Alexander W. Goodall","Edwin Hamel-De le Court","Francesco Belardinelli"],"url":"http://arxiv.org/abs/2511.10843v3","arxiv_id":"2511.10843v3","published":"2025-11-13T23:06:40Z"},{"title":"HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddings","abstract":"Knowledge graphs have emerged as fundamental structures for representing complex relational data across scientific and enterprise domains. However, existing embedding methods face critical limitations when modeling diverse relationship types at scale: Euclidean models struggle with hierarchies, vector space models cannot capture asymmetry, and hyperbolic models fail on symmetric relations. We propose HyperComplEx, a ","authors":["Jugal Gajjar","Kaustik Ranaware","Kamalasankari Subramaniakuppusamy","Vaibhav Gandhi"],"url":"http://arxiv.org/abs/2511.10842v1","arxiv_id":"2511.10842v1","published":"2025-11-13T23:06:06Z"},{"title":"FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification","abstract":"Modeling continuous-time dynamics from sparse and irregularly-sampled time series remains a fundamental challenge. Neural controlled differential equations provide a principled framework for such tasks, yet their performance is highly sensitive to the choice of control path constructed from discrete observations. Existing methods commonly employ fixed interpolation schemes, which impose simplistic geometric assumptio","authors":["YongKyung Oh","Dong-Young Lim","Sungil Kim"],"url":"http://arxiv.org/abs/2511.10841v3","arxiv_id":"2511.10841v3","published":"2025-11-13T22:59:26Z"},{"title":"Protein Structure Tokenization via Geometric Byte Pair Encoding","abstract":"Protein structure is central to biological function, and enabling multimodal protein models requires joint reasoning over sequence, structure, and function. A key barrier is the lack of principled protein structure tokenizers (PSTs): existing approaches fix token size or rely on continuous vector codebooks, limiting interpretability, multi-scale control, and transfer across architectures. We introduce GeoBPE, a geome","authors":["Michael Sun","Weize Yuan","Gang Liu","Wojciech Matusik","Marinka Zitnik"],"url":"http://arxiv.org/abs/2511.11758v2","arxiv_id":"2511.11758v2","published":"2025-11-13T22:53:29Z"},{"title":"The Map of Misbelief: Tracing Intrinsic and Extrinsic Hallucinations Through Attention Patterns","abstract":"Large Language Models (LLMs) are increasingly deployed in safety-critical domains, yet remain susceptible to hallucinations. While prior works have proposed confidence representation methods for hallucination detection, most of these approaches rely on computationally expensive sampling strategies and often disregard the distinction between hallucination types. In this work, we introduce a principled evaluation frame","authors":["Elyes Hajji","Aymen Bouguerra","Fabio Arnez"],"url":"http://arxiv.org/abs/2511.10837v1","arxiv_id":"2511.10837v1","published":"2025-11-13T22:42:18Z"},{"title":"SCALEX: Scalable Concept and Latent Exploration for Diffusion Models","abstract":"Image generation models frequently encode social biases, including stereotypes tied to gender, race, and profession. Existing methods for analyzing these biases in diffusion models either focus narrowly on predefined categories or depend on manual interpretation of latent directions. These constraints limit scalability and hinder the discovery of subtle or unanticipated patterns. We introduce SCALEX, a framework for ","authors":["E. Zhixuan Zeng","Yuhao Chen","Alexander Wong"],"url":"http://arxiv.org/abs/2511.13750v2","arxiv_id":"2511.13750v2","published":"2025-11-13T22:02:44Z"},{"title":"DeepDefense: Robust Learning via Layer-Wise Gradient-Feature Alignment","abstract":"Deep neural networks are known to be vulnerable to adversarial perturbations, which are small, carefully crafted inputs that lead to incorrect predictions. In this paper, we propose DeepDefense, a novel defense framework that applies Gradient-Feature Alignment (GFA) regularization across multiple layers to suppress adversarial vulnerability. By aligning input gradients with internal feature representations, DeepDefen","authors":["Ci Lin","Tet Yeap","Iluju Kiringa"],"url":"http://arxiv.org/abs/2511.13749v2","arxiv_id":"2511.13749v2","published":"2025-11-13T21:54:41Z"},{"title":"Bridging the Skills Gap: A Course Model for Modern Generative AI Education","abstract":"Research on how the popularization of generative Artificial Intelligence (AI) tools impacts learning environments has led to hesitancy among educators to teach these tools in classrooms, creating two observed disconnects. Generative AI competency is increasingly valued in industry but not in higher education, and students are experimenting with generative AI without formal guidance. The authors argue students across ","authors":["Anya Bardach","Hamilton Murrah"],"url":"http://arxiv.org/abs/2511.11757v1","arxiv_id":"2511.11757v1","published":"2025-11-13T21:24:54Z"},{"title":"HARNESS: Human-Agent Risk Navigation and Event Safety System for Proactive Hazard Forecasting in High-Risk DOE Environments","abstract":"Operational safety at mission-critical work sites is a top priority given the complex and hazardous nature of daily tasks. This paper presents the Human-Agent Risk Navigation and Event Safety System (HARNESS), a modular AI framework designed to forecast hazardous events and analyze operational risks in U.S. Department of Energy (DOE) environments. HARNESS integrates Large Language Models (LLMs) with structured work d","authors":["Ran Elgedawy","Sanjay Das","Ethan Seefried","Gavin Wiggins","Ryan Burchfield","Dana Hewit"],"url":"http://arxiv.org/abs/2511.10810v1","arxiv_id":"2511.10810v1","published":"2025-11-13T21:22:53Z"},{"title":"From Attention to Frequency: Integration of Vision Transformer and FFT-ReLU for Enhanced Image Deblurring","abstract":"Image deblurring is vital in computer vision, aiming to recover sharp images from blurry ones caused by motion or camera shake. While deep learning approaches such as CNNs and Vision Transformers (ViTs) have advanced this field, they often struggle with complex or high-resolution blur and computational demands. We propose a new dual-domain architecture that unifies Vision Transformers with a frequency-domain FFT-ReLU","authors":["Syed Mumtahin Mahmud","Mahdi Mohd Hossain Noki","Prothito Shovon Majumder","Abdul Mohaimen Al Radi","Md. Haider Ali","Md. Mosaddek Khan"],"url":"http://arxiv.org/abs/2511.10806v1","arxiv_id":"2511.10806v1","published":"2025-11-13T21:19:57Z"},{"title":"Discounted Cuts: A Stackelberg Approach to Network Disruption","abstract":"We study a Stackelberg variant of the classical Most Vital Links problem, modeled as a one-round adversarial game between an attacker and a defender. The attacker strategically removes up to $k$ edges from a flow network to maximally disrupt flow between a source $s$ and a sink $t$, after which the defender optimally reroutes the remaining flow. To capture this attacker--defender interaction, we introduce a new mathe","authors":["Pål Grønås Drange","Fedor V. Fomin","Petr Golovach","Danil Sagunov"],"url":"http://arxiv.org/abs/2511.10804v1","arxiv_id":"2511.10804v1","published":"2025-11-13T21:12:57Z"},{"title":"Classification of Transient Astronomical Object Light Curves Using LSTM Neural Networks","abstract":"This study presents a bidirectional Long Short-Term Memory (LSTM) neural network for classifying transient astronomical object light curves from the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) dataset. The original fourteen object classes were reorganized into five generalized categories (S-Like, Fast, Long, Periodic, and Non-Periodic) to address class imbalance. After preprocessing ","authors":["Guilherme Grancho D. Fernandes","Marco A. Barroca","Mateus dos Santos","Rafael S. Oliveira"],"url":"http://arxiv.org/abs/2511.17564v1","arxiv_id":"2511.17564v1","published":"2025-11-13T20:51:17Z"},{"title":"Fast Neural Tangent Kernel Alignment, Norm and Effective Rank via Trace Estimation","abstract":"The Neural Tangent Kernel (NTK) characterizes how a model's state evolves over Gradient Descent. Computing the full NTK matrix is often infeasible, especially for recurrent architectures. Here, we introduce a matrix-free perspective, using trace estimation to rapidly analyze the empirical, finite-width NTK. This enables fast computation of the NTK's trace, Frobenius norm, effective rank, and alignment. We provide num","authors":["James Hazelden"],"url":"http://arxiv.org/abs/2511.10796v1","arxiv_id":"2511.10796v1","published":"2025-11-13T20:51:07Z"},{"title":"From Efficiency to Adaptivity: A Deeper Look at Adaptive Reasoning in Large Language Models","abstract":"Recent advances in large language models (LLMs) have made reasoning a central benchmark for evaluating intelligence. While prior surveys focus on efficiency by examining how to shorten reasoning chains or reduce computation, this view overlooks a fundamental challenge: current LLMs apply uniform reasoning strategies regardless of task complexity, generating long traces for trivial problems while failing to extend rea","authors":["Chao Wu","Baoheng Li","Mingchen Gao","Yu Tian","Zhenyi Wang"],"url":"http://arxiv.org/abs/2511.10788v3","arxiv_id":"2511.10788v3","published":"2025-11-13T20:25:04Z"}],"history":{"events":[{"year":2015,"text":"Coordinated terrorist attacks in Paris perpetrated by the Islamic State killed 130 people and injured 413 others.","url":"https://en.wikipedia.org/wiki/November_2015_Paris_attacks"},{"year":1992,"text":"The High Court of Australia ruled in Dietrich v The Queen that, although there is no absolute right to have publicly funded counsel, a judge should grant any request for an adjournment or stay in most circumstances in which an accused is unrepresented.","url":"https://en.wikipedia.org/wiki/High_Court_of_Australia"},{"year":1985,"text":"The volcano Nevado del Ruiz (pictured) erupted, causing a volcanic mudslide that buried the town of Armero, Colombia, killing approximately 23,000 people.","url":"https://en.wikipedia.org/wiki/Nevado_del_Ruiz"},{"year":1982,"text":"South Korean boxer Kim Duk-koo suffered fatal brain injuries during a match with American Ray Mancini in Las Vegas, leading to significant rule changes in the sport.","url":"https://en.wikipedia.org/wiki/Kim_Duk-koo"},{"year":1974,"text":"Ronald DeFeo Jr. killed six members of his family in Amityville, New York, events that later inspired the book The Amityville Horror and a subsequent media franchise.","url":"https://en.wikipedia.org/wiki/Amityville_murders"},{"year":1966,"text":"Arab–Israeli conflict: In response to a Fatah landmine incident, the Israeli military conducted a large cross-border assault on the Jordanian-controlled West Bank village of Samu.","url":"https://en.wikipedia.org/wiki/Arab%E2%80%93Israeli_conflict"},{"year":1963,"text":"A man wielding a dagger was subdued as he was about to attack Sanzō Nosaka, the chairman of the Japanese Communist Party.","url":"https://en.wikipedia.org/wiki/Sanz%C5%8D_Nosaka"},{"year":1945,"text":"FC Dynamo Moscow open their exhibition tour of the United Kingdom with a 3–3 draw against Chelsea, breaking the record attendance for a British club football match.","url":"https://en.wikipedia.org/wiki/FC_Dynamo_Moscow"},{"year":1940,"text":"Walt Disney's Fantasia, the first commercial film shown with stereophonic sound, premiered at the Broadway Theatre in New York City.","url":"https://en.wikipedia.org/wiki/Walt_Disney"},{"year":1927,"text":"The Holland Tunnel opened, connecting Manhattan with Jersey City under the Hudson River.","url":"https://en.wikipedia.org/wiki/Holland_Tunnel"},{"year":1914,"text":"Zaian War: Zaian Berber tribesmen routed French forces at the Battle of El Herri in Morocco.","url":"https://en.wikipedia.org/wiki/Zaian_War"},{"year":1809,"text":"A British flotilla arrived at Ras Al Khaimah and launched an amphibious assault on the town, as a part of the Persian Gulf campaign of 1809.","url":"https://en.wikipedia.org/wiki/Ras_Al_Khaimah"},{"year":1775,"text":"American Revolutionary War: American forces captured Montreal without significant opposition as part of the Invasion of Quebec.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1642,"text":"First English Civil War: Royalist forces engaged the much larger Parliamentarian army at the Battle of Turnham Green near Turnham Green, Middlesex.","url":"https://en.wikipedia.org/wiki/First_English_Civil_War"},{"year":1002,"text":"King Æthelred II (pictured) ordered the massacre of all Danes in England.","url":"https://en.wikipedia.org/wiki/%C3%86thelred_the_Unready"}],"births":[{"year":2002,"text":"Emma Raducanu, British tennis player","url":"https://en.wikipedia.org/wiki/Emma_Raducanu"},{"year":2002,"text":"Giovanni Reyna, American soccer player","url":"https://en.wikipedia.org/wiki/Giovanni_Reyna"},{"year":2000,"text":"Sydney Agudong, American actress and singer","url":"https://en.wikipedia.org/wiki/Sydney_Agudong"},{"year":1999,"text":"Brett Baty, American baseball player","url":"https://en.wikipedia.org/wiki/Brett_Baty"},{"year":1999,"text":"Lando Norris, British-Belgian race car driver","url":"https://en.wikipedia.org/wiki/Lando_Norris"},{"year":1995,"text":"Oliver Stummvoll, Austrian model","url":"https://en.wikipedia.org/wiki/Oliver_Stummvoll"},{"year":1993,"text":"Julia Michaels, American singer and songwriter","url":"https://en.wikipedia.org/wiki/Julia_Michaels"},{"year":1992,"text":"Grégory Hofmann, Swiss ice hockey player","url":"https://en.wikipedia.org/wiki/Gr%C3%A9gory_Hofmann"}],"deaths":[{"year":2025,"text":"Juan Ponce Enrile, Filipino politician and lawyer (born 1924)","url":"https://en.wikipedia.org/wiki/Juan_Ponce_Enrile"},{"year":2024,"text":"Theodore Olson, American lawyer (born 1940)","url":"https://en.wikipedia.org/wiki/Theodore_Olson"},{"year":2024,"text":"Shel Talmy, American record producer, songwriter and arranger (born 1937)","url":"https://en.wikipedia.org/wiki/Shel_Talmy"},{"year":2024,"text":"Shuntarō Tanikawa, Japanese poet and translator (born 1931)","url":"https://en.wikipedia.org/wiki/Shuntar%C5%8D_Tanikawa"},{"year":2024,"text":"Daim Zainuddin, Malaysian politician (born 1938)","url":"https://en.wikipedia.org/wiki/Daim_Zainuddin"},{"year":2020,"text":"Peter Sutcliffe, English serial killer (born 1946)","url":"https://en.wikipedia.org/wiki/Peter_Sutcliffe"},{"year":2017,"text":"Bobby Doerr, American baseball player and manager (born 1918)","url":"https://en.wikipedia.org/wiki/Bobby_Doerr"},{"year":2016,"text":"Leon Russell, American singer-songwriter (born 1942)","url":"https://en.wikipedia.org/wiki/Leon_Russell"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}