{"date":"2026-07-13","schema_version":1,"captured_at":"2026-08-25T23:15:56.470Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Lindsey Graham","views":2652838,"rank":2,"extract":"Lindsey Olin Graham was an American politician, attorney, and military officer who represented South Carolina in the United States Senate from 2003 until his death in 2026. 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The "hard problem" of consciousness--the enigma of why and how physical processing gives rise to felt experience--remains unsolved. The Quantification Horizon Theory of Consciousness (QHT) proposes that this enigma reflects a struc","authors":["Le, T. R."],"url":"https://arxiv.org/abs/1704.01148","arxiv_id":"1704.01148","published":"2026-07-13"},{"title":"A Fourier analytique approach to Gaussian mixture learning","abstract":"Suppose that we are given independent, identically distributed random samples $x_1,\\cdots,x_n$ from a mixture at most $k$ many $d$-dimensional spherical Gaussian distributions $μ_1,\\cdots,μ_{k_0}$ of identical and known variance $σ^2$ in each coordinate, such that the minimum $\\ell^2$ distance between two distinct centers $y_l$ and $y_j$ is greater than $2Δσ\\min\\{\\sqrt{d},\\sqrt k\\}$, where $Δ>C_0$, and $C_0$ is a ","authors":["Chakraborty, Somnath","Narayanan, Hariharan"],"url":"https://arxiv.org/abs/2004.05813","arxiv_id":"2004.05813","published":"2026-07-13"},{"title":"Ruby: Unmasking Unsafe Rust in Stripped Binaries via Machine Learning","abstract":"Rust, as an emerging system programming language, introduces $\\texttt{unsafe}$ to allow developers to bypass safety checks during compilation. As a result, memory safety bugs are typically confined to the $\\texttt{unsafe}$ regions, which have been the primary focus of Rust bug-finding tools. However, such tools rely on the presence of the $\\texttt{unsafe}$ keyword in Rust source code; there are no tools available tha","authors":["Cheng, Xiang","Park, Sangdon","Han, HyungSeok","Zhang, Xiaokuan","Kim, Taesoo"],"url":"https://arxiv.org/abs/2211.00111","arxiv_id":"2211.00111","published":"2026-07-13"},{"title":"Entity Alignment Method of Science and Technology Patent based on Graph Convolution Network and Information Fusion","abstract":"The entity alignment of science and technology patents aims to link the equivalent entities in the knowledge graph of different science and technology patent data sources. Most entity alignment methods only use graph neural network to obtain the embedding of graph structure or use attribute text description to obtain semantic representation, ignoring the process of multi-information fusion in science and technology p","authors":["Fang, Runze","Li, Yawen","Shao, Yingxia","Guan, Zeli","Xue, Zhe"],"url":"https://arxiv.org/abs/2311.00300","arxiv_id":"2311.00300","published":"2026-07-13"},{"title":"Relation Extraction Model Based on Semantic Enhancement Mechanism","abstract":"Relational extraction is one of the basic tasks related to information extraction in the field of natural language processing, and is an important link and core task in the fields of information extraction, natural language understanding, and information retrieval. None of the existing relation extraction methods can effectively solve the problem of triple overlap. The CasAug model proposed in this paper based on the","authors":["Liu, Peiyu","Du, Junping","Shao, Yingxia","Guan, Zeli"],"url":"https://arxiv.org/abs/2311.02564","arxiv_id":"2311.02564","published":"2026-07-13"},{"title":"Topic model based on co-occurrence word networks for unbalanced short text datasets","abstract":"We propose a straightforward solution for detecting scarce topics in unbalanced short-text datasets. Our approach, named CWUTM (Topic model based on co-occurrence word networks for unbalanced short text datasets), addresses the challenge of sparse and unbalanced short text topics by mitigating the effects of incidental word co-occurrence. This allows our model to prioritize the identification of scarce topics (low-fr","authors":["Ma, Chengjie","Du, Junping","Liang, Meiyu","Guan, Zeli"],"url":"https://arxiv.org/abs/2311.02566","arxiv_id":"2311.02566","published":"2026-07-13"},{"title":"ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes","abstract":"Implicit neural representation has demonstrated promising results in 3D reconstruction on various scenes. However, existing approaches either struggle to model fast-moving objects or are incapable of handling large-scale camera ego-motions in urban environments. This leads to low-quality synthesized views of the large-scale urban scenes. In this paper, we aim to jointly solve the problems caused by large-scale scenes","authors":["Deng, Tianchen","Wang, Yanbo","Liu, Yejia","Su, Chenpeng","Wang, Jingchuan","Wang, Danwei"],"url":"https://arxiv.org/abs/2312.09076","arxiv_id":"2312.09076","published":"2026-07-13"},{"title":"Language Modeling on a SpiNNaker 2 Neuromorphic Chip","abstract":"As large language models continue to scale in size rapidly, so too does the computational power required to run them. Event-based networks on neuromorphic devices offer a potential way to reduce energy consumption for inference significantly. However, to date, most event-based networks that can run on neuromorphic hardware, including spiking neural networks (SNNs), have not achieved task performance even on par with ","authors":["Nazeer, Khaleelulla Khan","Schöne, Mark","Mukherji, Rishav","Vogginger, Bernhard","Mayr, Christian","Kappel, David"],"url":"https://arxiv.org/abs/2312.09084","arxiv_id":"2312.09084","published":"2026-07-13"},{"title":"Contrastive Learning on Multimodal Analysis of Electronic Health Records","abstract":"Electronic health record (EHR) systems capture a wealth of multimodal clinical data, encompassing both structured clinical codes and unstructured clinical notes. Yet, many EHR-focused studies have traditionally examined these modalities in isolation or combined them using simplistic methods, overlooking the intrinsic synergy between them. In reality, these modalities are deeply interconnected, each containing clinica","authors":["Cai, Tianxi","Huang, Feiqing","Nakada, Ryumei","Zhang, Linjun","Zhou, Doudou"],"url":"https://arxiv.org/abs/2403.14926","arxiv_id":"2403.14926","published":"2026-07-13"},{"title":"Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization","abstract":"We present in this paper novel accelerated fully first-order methods in \\emph{Bilevel Optimization} (BLO). Firstly, for BLO under the assumption that the lower-level functions admit the typical strong convexity assumption, the \\emph{(Perturbed) Restarted Accelerated Fully First-order methods for Bilevel Approximation} (\\texttt{PRAF${}^2$BA}) algorithm leveraging \\emph{fully} first-order oracles is proposed, whereas t","authors":["Li, Chris Junchi"],"url":"https://arxiv.org/abs/2405.00914","arxiv_id":"2405.00914","published":"2026-07-13"},{"title":"LDPKiT: Superimposing Remote Queries for Privacy-Preserving Distillation","abstract":"To protect privacy in regulated domains such as healthcare and finance, model owners may allow only remote API access while keeping both the training data and model parameters private. However, model users performing inference on such remotely hosted models may be required to transmit potentially sensitive inputs, raising privacy concerns. In this work, we present LDPKiT, a framework for non-adversarial, privacy-pres","authors":["Li, Kexin","Mehta, Aastha","Lie, David"],"url":"https://arxiv.org/abs/2405.16361","arxiv_id":"2405.16361","published":"2026-07-13"},{"title":"Projection Methods for Operator Learning and Universal Approximation","abstract":"We obtain a new universal approximation theorem for continuous (possibly nonlinear) operators on arbitrary Banach spaces using the Leray-Schauder mapping. Moreover, we introduce and study a method for operator learning in Banach spaces $L^p$ of functions with multiple variables, based on orthogonal projections on polynomial bases. We derive a universal approximation result for operators where we learn a linear projec","authors":["Zappala, Emanuele"],"url":"https://arxiv.org/abs/2406.12264","arxiv_id":"2406.12264","published":"2026-07-13"},{"title":"Accelerating Large Language Model Inference with Self-Supervised Early Exits","abstract":"This paper presents a modular approach to accelerate inference in large language models (LLMs) by adding early exit heads at intermediate transformer layers. Each head is trained in a self-supervised manner to mimic the main model's predictions, allowing computation to stop early when a calibrated confidence threshold is reached. We evaluate several confidence metrics and show that entropy provides the most relia","authors":["Valade, Florian"],"url":"https://arxiv.org/abs/2407.21082","arxiv_id":"2407.21082","published":"2026-07-13"},{"title":"Image class translation: visual inspection of class-specific hypotheticals and classification based on translation distance","abstract":"Purpose: A major barrier to the implementation of artificial intelligence for medical applications is automated CNNs' lack of explainability and high confidence for incorrect decisions, specifically with out-of-domain samples. We propose a generalization of image translation networks for image classification and demonstrate translation networks' potential as a more interpretable alternative to conventional bl","authors":["Bowen, Mikyla K.","Wilson, Jesse W."],"url":"https://arxiv.org/abs/2408.08973","arxiv_id":"2408.08973","published":"2026-07-13"},{"title":"Zero-shot 3D General Obstacle Detection via Multimodal Foundation Models and Geometry","abstract":"Detecting general obstacles is critical for autonomous driving, especially in long-tail scenarios with rare or unseen objects. Existing methods rely on supervision or predefined categories, limiting generalization. We propose a training-free approach that combines multimodal foundation models with geometric reasoning for 3D obstacle detection. Our key idea is to detect obstacles as deviations from the road surface, s","authors":["Matuszka, Tamás","Hajas, Péter","Szeghy, Dávid"],"url":"https://arxiv.org/abs/2408.12322","arxiv_id":"2408.12322","published":"2026-07-13"},{"title":"IFAR: Multi-Perspective and Multi-Level Causal Discovery with LLMs","abstract":"Large language models (LLMs) have developed rapidly, and their reasoning capabilities have become a hot research topic. However, there is still limited exploration of abductive reasoning. The multi-perspective and multi-level of causes is one of the core challenges of abductive reasoning, which cannot be solved well by existing methods. We construct a specialized dataset named DeepAbduction, which is designed for tra","authors":["He, Jinwei","Lu, Feng"],"url":"https://arxiv.org/abs/2409.05559","arxiv_id":"2409.05559","published":"2026-07-13"},{"title":"Multi-Layer Gaussian Splatting for Immersive Anatomy Visualization","abstract":"In medical image visualization, path tracing of volumetric medical data like CT scans produces lifelike three-dimensional visualizations. Immersive VR displays can further enhance the understanding of complex anatomies. Going beyond the diagnostic quality of traditional 2D slices, they enable interactive 3D evaluation of anatomies, supporting medical education and planning. Rendering high-quality visualizations in re","authors":["Kleinbeck, Constantin","Schieber, Hannah","Engel, Klaus","Gutjahr, Ralf","Roth, Daniel"],"url":"https://arxiv.org/abs/2410.16978","arxiv_id":"2410.16978","published":"2026-07-13"},{"title":"Human Vision Constrained Super-Resolution","abstract":"Modern deep-learning super-resolution (SR) techniques process images and videos independently of the underlying content and viewing conditions. However, the sensitivity of the human visual system (HVS) to image details changes depending on the underlying image characteristics, such as spatial frequency, luminance, color, contrast, or motion; as well viewing condition aspects such as ambient lighting and distance to t","authors":["Karpenko, Volodymyr","Tariq, Taimoor","Condor, Jorge","Didyk, Piotr"],"url":"https://arxiv.org/abs/2411.17513","arxiv_id":"2411.17513","published":"2026-07-13"},{"title":"Basic Research, Lethal Effects: Military AI Research Funding as Enlistment","abstract":"In the context of unprecedented U.S. Department of Defense (DoD) budgets, this paper examines the recent history of DoD funding for academic research in algorithmically based warfighting. We draw from a corpus of DoD grant solicitations from 2007 to 2023, focusing on those addressed to researchers in the field of artificial intelligence (AI). Considering the implications of DoD funding for academic research, the pape","authors":["Widder, David Gray","Gururaja, Sireesh","Suchman, Lucy"],"url":"https://arxiv.org/abs/2411.17840","arxiv_id":"2411.17840","published":"2026-07-13"},{"title":"Prototypical Few-Shot Medical Image Semantic Segmentation with Background Fusion","abstract":"Few-shot Semantic Segmentation (FSS) aims to adapt a pre-trained model to new classes with as few as a single labeled training sample per class. The existing prototypical work used in natural image scenarios biasedly focus on capturing foreground's discrimination while employing a simplistic representation for background, grounded on the inherent observation separation between foreground and background. However, ","authors":["Dong, Yuan","Yu, Xiaoyu","Wan, Wentao","Xue, Jianchao","Duan, Yuejin","Tang, Song"],"url":"https://arxiv.org/abs/2412.02983","arxiv_id":"2412.02983","published":"2026-07-13"},{"title":"Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs","abstract":"Neural Jump ODEs model the conditional expectation between observations by neural ODEs and jump at arrival of new observations. They have demonstrated effectiveness for fully data-driven online forecasting in settings with irregular and partial observations, operating under weak regularity assumptions. This work extends the framework to input-output systems, enabling direct applications in online filtering and classi","authors":["Heiss, Jakob","Krach, Florian","Schmidt, Thorsten","Tambe-Ndonfack, Félix B."],"url":"https://arxiv.org/abs/2412.03271","arxiv_id":"2412.03271","published":"2026-07-13"},{"title":"On Motion Blur and Deblurring in Visual Place Recognition","abstract":"Visual Place Recognition (VPR) in mobile robotics enables robots to localize themselves by recognizing previously visited locations using visual data. While the reliability of VPR methods has been extensively studied under conditions such as changes in illumination, season, weather and viewpoint, the impact of motion blur is relatively unexplored despite its relevance not only in rapid motion scenarios but also in lo","authors":["Ismagilov, Timur","Ferrarini, Bruno","Milford, Michael","Nguyen, Tan Viet Tuyen","Ramchurn, SD","Ehsan, Shoaib"],"url":"https://arxiv.org/abs/2412.07751","arxiv_id":"2412.07751","published":"2026-07-13"},{"title":"LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds","abstract":"LiDAR and photogrammetry are active and passive remote sensing techniques for point cloud acquisition, respectively, offering complementary advantages and heterogeneous. Due to the fundamental differences in sensing mechanisms, spatial distributions and coordinate systems, their point clouds exhibit significant discrepancies in density, precision, noise, and overlap. Coupled with the lack of ground truth for large-sc","authors":["Wang, Chen","Gu, Yanfeng","Li, Xian"],"url":"https://arxiv.org/abs/2501.05669","arxiv_id":"2501.05669","published":"2026-07-13"},{"title":"VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images","abstract":"Vertebral Landmarks Localization in Dual-Energy X-ray Absorptiometry based Lateral Spine Imaging plays a critical role in evaluating spinal alignment, Vertebral Fracture Assessment, and facilitating intervertebral guide placement for Abdominal Aortic Calcification quantification. While lateral spine DXA scans offer advantages such as reduced cost and lower radiation exposure, its analysis remains challenging due to a","authors":["Maqsood, Arooba","Ilyas, Zaid","Saleem, Afsah","Zhang, Erchuan","Suter, David","Raina, Parminder"],"url":"https://arxiv.org/abs/2502.02097","arxiv_id":"2502.02097","published":"2026-07-13"},{"title":"Looking Locally: Object-Centric Vision Transformers as Foundation Models for Efficient Segmentation","abstract":"Current state-of-the-art segmentation models encode entire images before focusing on specific objects. This wastes computational resources. We introduce FLIP (Fovea-Like Input Patching), a parameter-efficient vision model that realizes object segmentation through biologically-inspired top-down attention. FLIP selectively samples multi-resolution patches centered on objects of interest from the input. As a result, it ","authors":["Traub, Manuel","Butz, Martin V."],"url":"https://arxiv.org/abs/2502.02763","arxiv_id":"2502.02763","published":"2026-07-13"}],"history":{"events":[{"year":2020,"text":"After a five day search, the body of American actress and singer Naya Rivera was recovered from Lake Piru, confirming her death.","url":"https://en.wikipedia.org/wiki/Naya_Rivera"},{"year":2014,"text":"Germany won the FIFA World Cup final against Argentina, with Mario Götze scoring the game's only goal (pictured) in the extra time.","url":"https://en.wikipedia.org/wiki/Germany_national_football_team"},{"year":2013,"text":"Typhoon Soulik (pictured) made landfall in East China and Taiwan, killing at least 20 people.","url":"https://en.wikipedia.org/wiki/Typhoon_Soulik_(2013)"},{"year":2003,"text":"French Directorate General for External Security personnel aborted an operation to rescue Colombian politician Íngrid Betancourt from FARC guerrillas, resulting in a political scandal.","url":"https://en.wikipedia.org/wiki/Directorate_General_for_External_Security"},{"year":1992,"text":"Croatian War of Independence: The Croatian Army concluded Operation Tiger, advancing 17 kilometres (11 miles) into the Dubrovnik hinterland.","url":"https://en.wikipedia.org/wiki/Croatian_War_of_Independence"},{"year":1973,"text":"Watergate scandal: Under questioning by Senate investigators, White House deputy chief of staff Alexander Butterfield revealed the existence of a secret taping system (tape recorder pictured) in the Oval Office.","url":"https://en.wikipedia.org/wiki/Watergate_scandal"},{"year":1962,"text":"In an unprecedented reshuffle, British prime minister Harold Macmillan (pictured) dismissed seven members of his cabinet.","url":"https://en.wikipedia.org/wiki/Cabinet_reshuffle"},{"year":1943,"text":"World War II: Operation Fustian, an Allied operation to capture the Primosole Bridge in Sicily, was launched.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1942,"text":"World War II: The 1st Filipino Infantry Regiment was converted from a battalion to accommodate a larger number of volunteers spurred on by the Japanese invasion of the Philippines.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1930,"text":"The first FIFA World Cup was opened in Uruguay.","url":"https://en.wikipedia.org/wiki/1930_FIFA_World_Cup"},{"year":1913,"text":"While on a campaign in Bulgaria, the Romanian Army suffered a cholera outbreak that led to around 1,600 deaths.","url":"https://en.wikipedia.org/wiki/Second_Balkan_War"},{"year":1863,"text":"Four days of rioting began in New York City in response to laws passed by the U.S. Congress to draft men to fight in the American Civil War.","url":"https://en.wikipedia.org/wiki/New_York_City_draft_riots"},{"year":1855,"text":"Firefighters in Toronto, Canada, destroyed the infrastructure of a visiting circus; police refusal to identify rioters caused widespread protest and a complete redesign of the city's police service.","url":"https://en.wikipedia.org/wiki/Province_of_Canada"},{"year":1831,"text":"Wallachian officials adopted the Regulamentul Organic, which engendered a period of reforms that provided for the westernization of the local society.","url":"https://en.wikipedia.org/wiki/Wallachia"},{"year":1794,"text":"The Battle of Trippstadt between French forces and those of Prussia and Austria began.","url":"https://en.wikipedia.org/wiki/Battle_of_Trippstadt"},{"year":1643,"text":"English Civil War: Royalist forces defeated the Parliamentarians at the Battle of Roundway Down near Devizes, Wiltshire.","url":"https://en.wikipedia.org/wiki/English_Civil_War"},{"year":1586,"text":"Anglo–Spanish War: A convoy of English ships from the Levant Company repelled a fleet of Spanish and Maltese galleys at the Battle of Pantelleria.","url":"https://en.wikipedia.org/wiki/Anglo-Spanish_War_(1585%E2%80%931604)"},{"year":1260,"text":"Livonian Crusade: Samogitian forces defeated Teutonic knights and the Livonian Order at the Battle of Durbe.","url":"https://en.wikipedia.org/wiki/Livonian_Crusade"}],"births":[{"year":2007,"text":"Lamine Yamal, Spanish footballer","url":"https://en.wikipedia.org/wiki/Lamine_Yamal"},{"year":2004,"text":"Nihal Sarin, Indian Chess Grandmaster","url":"https://en.wikipedia.org/wiki/Nihal_Sarin"},{"year":2003,"text":"Wyatt Oleff, American actor","url":"https://en.wikipedia.org/wiki/Wyatt_Oleff"},{"year":2003,"text":"Mason Teague, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Mason_Teague"},{"year":2002,"text":"Deborah Medrado, Brazilian rhythmic gymnast","url":"https://en.wikipedia.org/wiki/D%C3%A9borah_Medrado"},{"year":2001,"text":"Kim Sin-jin, South Korean footballer","url":"https://en.wikipedia.org/wiki/Kim_Sin-jin"},{"year":1997,"text":"Josh Hines-Allen, American football player","url":"https://en.wikipedia.org/wiki/Josh_Hines-Allen"},{"year":1997,"text":"Leo Howard, American actor and martial artist","url":"https://en.wikipedia.org/wiki/Leo_Howard"}],"deaths":[{"year":2026,"text":"Sam Neill, New Zealand actor (born 1947)","url":"https://en.wikipedia.org/wiki/Sam_Neill"},{"year":2025,"text":"Muhammadu Buhari, Nigerian general and politician, 7th & 15th President of Nigeria (born 1942)","url":"https://en.wikipedia.org/wiki/Muhammadu_Buhari"},{"year":2024,"text":"Shannen Doherty, American actress (born 1971)","url":"https://en.wikipedia.org/wiki/Shannen_Doherty"},{"year":2024,"text":"Ruth Hesse, German opera singer (born 1936)","url":"https://en.wikipedia.org/wiki/Ruth_Hesse"},{"year":2024,"text":"Richard Simmons, American fitness personality and public figure (born 1948)","url":"https://en.wikipedia.org/wiki/Richard_Simmons"},{"year":2024,"text":"Chino Trinidad, Filipino sports journalist and executive (born 1967)","url":"https://en.wikipedia.org/wiki/Chino_Trinidad"},{"year":2024,"text":"Thomas Matthew Crooks, American student, known for attempting to assassinate former US President Donald Trump (born 2003)","url":"https://en.wikipedia.org/wiki/Thomas_Crooks"},{"year":2024,"text":"Naomi Pomeroy, American chef and restaurateur (born 1974)","url":"https://en.wikipedia.org/wiki/Naomi_Pomeroy"}]},"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."}