{"date":"2026-05-08","schema_version":1,"captured_at":"2026-08-25T23:07:48.712Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Ted Turner","views":490930,"rank":3,"extract":"Robert Edward Turner III was an American businessman, television producer, media proprietor, and philanthropist. He founded CNN, the first 24-hour cable news channel, and WTBS, which pioneered the superstation concept in cable television. Turner also founded t","url":"https://en.wikipedia.org/wiki/Ted_Turner","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/db/Ted_Turner_April_1985_%28cropped%29.jpg/330px-Ted_Turner_April_1985_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Hantavirus","views":410426,"rank":4,"extract":"Orthohantavirus is a genus of viruses which includes all hantaviruses that cause disease in humans. 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He is the first chief minister of West Bengal belonging to the Bharatiya Janata Party (BJP).","url":"https://en.wikipedia.org/wiki/Suvendu_Adhikari","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/2/24/Suvendu_Adhikari_May_2026_%28cropped%29.jpg/330px-Suvendu_Adhikari_May_2026_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Mamata Banerjee","views":72280,"rank":32,"extract":"Mamata Banerjee is an Indian politician and lawyer who served as the eighth chief minister of West Bengal from 2011 to 2026. She was the first and only woman to hold that office. Being the founder and president of the All India Trinamool Congress (AITC), she p","url":"https://en.wikipedia.org/wiki/Mamata_Banerjee","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8e/Ms._Mamata_Banerjee%2C_in_Kolkata_on_July_17%2C_2018_%28cropped%29.JPG/330px-Ms._Mamata_Banerjee%2C_in_Kolkata_on_July_17%2C_2018_%28cropped%29.JPG?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 West Bengal Legislative Assembly election","views":70500,"rank":33,"extract":"Legislative Assembly elections were held in West Bengal to elect all 294 members of the West Bengal Legislative Assembly in two phases on 23 and 29 April 2026, with the votes counted and results for 293 seats released on 4 May 2026. The election saw the defeat","url":"https://en.wikipedia.org/wiki/2026_West_Bengal_Legislative_Assembly_election","thumb":"https://upload.wikimedia.org/wikipedia/commons/d/da/Shri_Suvendu_Adhikari%2C_CM_of_West_Bengal_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"The Odyssey (2026 film)","views":69910,"rank":34,"extract":"The Odyssey is a 2026 epic action fantasy film written and directed by Christopher Nolan, who produced it with his wife Emma Thomas. 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accused of DUI tracks missing laptop to Illinois State trooper's house","points":447,"comments":382,"url":"https://abc7chicago.com/post/top-cop-driver-accused-dui-tracks-missing-laptop-illinois-state-police-trooper-kevin-bradleys-house/19060850/","discussion":"https://news.ycombinator.com/item?id=48067184"},{"title":"AI is breaking two vulnerability cultures","points":430,"comments":173,"url":"https://www.jefftk.com/p/ai-is-breaking-two-vulnerability-cultures","discussion":"https://news.ycombinator.com/item?id=48066524"},{"title":"Cartoon Network Flash Games","points":419,"comments":131,"url":"https://www.webdesignmuseum.org/flash-game-exhibitions/cartoon-network-flash-games","discussion":"https://news.ycombinator.com/item?id=48065360"},{"title":"Mojo 1.0 Beta","points":375,"comments":246,"url":"https://mojolang.org/","discussion":"https://news.ycombinator.com/item?id=48057901"},{"title":"US Government releases first batch of UAP documents and 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I gave you root. (io_uring ZCRX freelist LPE)","points":215,"comments":144,"url":"https://ze3tar.github.io/post-zcrx.html","discussion":"https://news.ycombinator.com/item?id=48067734"}],"research":[{"title":"Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix","abstract":"In the context of multi-modality knowledge distillation research, the existing methods was mainly focus on the problem of only learning teacher final output. Thus, there are still deep differences between the teacher network and the student network. It is necessary to force the student network to learn the modality relationship information of the teacher network. To effectively exploit transfering knowledge from teac","authors":["Liu, Peng"],"url":"https://arxiv.org/abs/2112.11447","arxiv_id":"2112.11447","published":"2026-05-08"},{"title":"Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks","abstract":"Offshore wind structures are subject to deterioration mechanisms throughout their operational lifetime. Even if the deterioration evolution of structural elements can be estimated through physics-based deterioration models, the uncertainties involved in the process hurdle the selection of lifecycle management decisions. In this scenario, the collection of relevant information through an efficient monitoring system en","authors":["Hlaing, N.","Morato, Pablo G.","Santos, F. d. N.","Weijtjens, W.","Devriendt, C.","Rigo, P."],"url":"https://arxiv.org/abs/2211.00642","arxiv_id":"2211.00642","published":"2026-05-08"},{"title":"LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation","abstract":"Several methods have been proposed to estimate 3D human pose from multi-view images, achieving satisfactory performance on public datasets collected under relatively simple conditions. However, there are limited approaches studying extracting 3D human skeletons from multimodal inputs, such as RGB and point cloud data. To address this gap, we introduce LiCamPose, a pipeline that integrates multi-view RGB and sparse po","authors":["Pan, Zhiyu","Zhong, Zhicheng","Guo, Wenxuan","Chen, Yifan","Feng, Jianjiang","Zhou, Jie"],"url":"https://arxiv.org/abs/2312.06409","arxiv_id":"2312.06409","published":"2026-05-08"},{"title":"Restoration-Oriented Video Frame Interpolation with Region-Distinguishable Priors from SAM","abstract":"In existing restoration-oriented Video Frame Interpolation (VFI) approaches, the motion estimation between neighboring frames plays a crucial role. However, the estimation accuracy in existing methods remains a challenge, primarily due to the inherent ambiguity in identifying corresponding areas in adjacent frames for interpolation. Therefore, enhancing accuracy by distinguishing different regions before motion estim","authors":["Han, Yan","Xu, Xiaogang","Lin, Yingqi","Wu, Jiafei","Liu, Zhe","Yang, Ming-Hsuan"],"url":"https://arxiv.org/abs/2312.15868","arxiv_id":"2312.15868","published":"2026-05-08"},{"title":"Phase-shifted remote photoplethysmography for estimating heart rate and blood pressure from facial video","abstract":"Human health can be critically affected by cardiovascular diseases, such as hypertension, arrhythmias, and stroke. Heart rate and blood pressure are important biometric information for the monitoring of cardiovascular system and early diagnosis of cardiovascular diseases. Existing methods for estimating the heart rate are based on electrocardiography and photoplethyomography, which require contacting the sensor to th","authors":["Hwang, Gyutae","Lee, Sang Jun"],"url":"https://arxiv.org/abs/2401.04560","arxiv_id":"2401.04560","published":"2026-05-08"},{"title":"Mirror Descent-Ascent for mean-field min-max problems","abstract":"We study two variants of the mirror descent-ascent (MDA) algorithm for solving min-max problems on the space of measures: simultaneous and alternating. We work under assumptions of convexity-concavity and relative smoothness of the payoff function with respect to a suitable Bregman divergence, defined on the space of measures via flat derivatives. We establish non-asymptotic convergence rates to mixed Nash equilibria","authors":["Lascu, Razvan-Andrei","Majka, Mateusz B.","Szpruch, Łukasz"],"url":"https://arxiv.org/abs/2402.08106","arxiv_id":"2402.08106","published":"2026-05-08"},{"title":"MemFlow: A Lightweight Forward Memorizing Framework for Quick Domain Adaptive Feature Mapping","abstract":"Deploying pretrained visual models in real-world environments often suffers from significant performance degradation due to the diversity of testing scenarios. Continuous adaptation of learning models on edge devices via unlabeled data collected from the target domain is highly effective for boosting generalization capability. However, gradient-backpropagation-based optimization of the massive parameters in deep neur","authors":["Lv, Jianming","Wang, Chengjun","Liang, Depin","Ma, Qianli","Chen, Wei","Cheng, Xueqi"],"url":"https://arxiv.org/abs/2402.14598","arxiv_id":"2402.14598","published":"2026-05-08"},{"title":"ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language Model","abstract":"In recent years, the development of pre-trained language models (PLMs) has gained momentum, showcasing their capacity to transcend linguistic barriers and facilitate knowledge transfer across diverse languages. However, this progress has predominantly bypassed the inclusion of very-low resource languages, creating a notable void in the multilingual landscape. This paper addresses this gap by introducing four tailored","authors":["Quinjica, Osvaldo Luamba","Adelani, David Ifeoluwa"],"url":"https://arxiv.org/abs/2404.02534","arxiv_id":"2404.02534","published":"2026-05-08"},{"title":"Scaling and renormalization in high-dimensional regression","abstract":"From benign overfitting in overparameterized models to rich power-law scalings in performance, simple ridge regression displays surprising behaviors sometimes thought to be limited to deep neural networks. This balance of phenomenological richness with analytical tractability makes ridge regression the model system of choice in high-dimensional machine learning. In this paper, we present a unifying perspective on rec","authors":["Atanasov, Alexander","Zavatone-Veth, Jacob A.","Pehlevan, Cengiz"],"url":"https://arxiv.org/abs/2405.00592","arxiv_id":"2405.00592","published":"2026-05-08"},{"title":"Argumentative Large Language Models for Explainable and Contestable Claim Verification","abstract":"The profusion of knowledge encoded in large language models (LLMs) and their ability to apply this knowledge zero-shot in a range of settings makes them promising candidates for use in decision-making. However, they are currently limited by their inability to provide outputs which can be faithfully explained and effectively contested to correct mistakes. In this paper, we attempt to reconcile these strengths and weak","authors":["Freedman, Gabriel","Dejl, Adam","Gorur, Deniz","Yin, Xiang","Rago, Antonio","Toni, Francesca"],"url":"https://arxiv.org/abs/2405.02079","arxiv_id":"2405.02079","published":"2026-05-08"},{"title":"Contestable AI needs Computational Argumentation","abstract":"AI has become pervasive in recent years, but state-of-the-art approaches predominantly neglect the need for AI systems to be contestable. Instead, contestability is advocated by AI guidelines (e.g. by the OECD) and regulation of automated decision-making (e.g. GDPR). In this position paper we explore how contestability can be achieved computationally in and for AI. We argue that contestable AI requires dynamic (human","authors":["Leofante, Francesco","Ayoobi, Hamed","Dejl, Adam","Freedman, Gabriel","Gorur, Deniz","Jiang, Junqi"],"url":"https://arxiv.org/abs/2405.10729","arxiv_id":"2405.10729","published":"2026-05-08"},{"title":"Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts","abstract":"Large Language Models (LLMs) possess vast amounts of knowledge within their parameters, prompting research into methods for locating and editing this knowledge. Previous work has largely focused on locating entity-related (often single-token) facts in smaller models. However, several key questions remain unanswered: (1) How can we effectively locate query-relevant neurons in decoder-only LLMs, such as Llama and Mistr","authors":["Chen, Lihu","Dejl, Adam","Toni, Francesca"],"url":"https://arxiv.org/abs/2406.10868","arxiv_id":"2406.10868","published":"2026-05-08"},{"title":"Estimating Earthquake Magnitude in Sentinel-1 Imagery via Ranking","abstract":"Earthquakes are commonly estimated using physical seismic stations, however, due to the installation requirements and costs of these stations, global coverage quickly becomes impractical. An efficient and lower-cost alternative is to develop machine learning models to globally monitor earth observation data to pinpoint regions impacted by these natural disasters. However, due to the small amount of historically recor","authors":["Cambrin, Daniele Rege","Corley, Isaac","Garza, Paolo","Najafirad, Peyman"],"url":"https://arxiv.org/abs/2407.18128","arxiv_id":"2407.18128","published":"2026-05-08"},{"title":"Disentangled Generative Graph Representation Learning","abstract":"Recently, generative graph models have shown promising results in learning graph representations through self-supervised methods. However, most existing generative graph representation learning (GRL) approaches rely on random masking across the entire graph, which overlooks the entanglement of learned representations. This oversight results in non-robustness and a lack of explainability. Furthermore, disentangling th","authors":["Hu, Xinyue","Duan, Zhibin","Liu, Xinyang","Li, Yuxin","Chen, Bo","Wang, Chaojie"],"url":"https://arxiv.org/abs/2408.13471","arxiv_id":"2408.13471","published":"2026-05-08"},{"title":"Learning linear acyclic causal model including Gaussian noise using ancestral relationships","abstract":"This paper discusses algorithms for learning causal DAGs. The PC algorithm makes no assumptions other than the faithfulness to the causal model and can identify only up to the Markov equivalence class. LiNGAM assumes linearity and continuous non-Gaussian disturbances for the causal model, and the causal DAG defining LiNGAM is shown to be fully identifiable. The PC-LiNGAM, a hybrid of the PC algorithm and LiNGAM, can ","authors":["Cai, Ming","Gao, Penggang","Hara, Hisayuki"],"url":"https://arxiv.org/abs/2409.00417","arxiv_id":"2409.00417","published":"2026-05-08"},{"title":"Games for AI Control: Models of Safety Evaluations of AI Deployment Protocols","abstract":"To evaluate the safety and usefulness of deployment protocols for untrusted AIs, AI Control uses a red-teaming exercise played between a protocol designer and an adversary. This paper introduces AI-Control Games, a formal decision-making model of the red-teaming exercise as a multi-objective, partially observable, stochastic game. We also introduce reductions from AI-Control Games to a special case of zero-sum partia","authors":["Griffin, Charlie","Thomson, Louis","Shlegeris, Buck","Abate, Alessandro"],"url":"https://arxiv.org/abs/2409.07985","arxiv_id":"2409.07985","published":"2026-05-08"},{"title":"Auction-Based Regulation for Artificial Intelligence","abstract":"In an era of "moving fast and breaking things", regulators have moved slowly to pick up the safety, bias, and legal debris left in the wake of broken Artificial Intelligence (AI) deployment. While there is much-warranted discussion about how to address the safety, bias, and legal woes of state-of-the-art AI models, rigorous and realistic mathematical frameworks to regulate AI are lacking. Our paper addresses ","authors":["Bornstein, Marco","Che, Zora","Julapalli, Suhas","Mohamed, Abdirisak","Bedi, Amrit Singh","Huang, Furong"],"url":"https://arxiv.org/abs/2410.01871","arxiv_id":"2410.01871","published":"2026-05-08"},{"title":"A Wavelet Diffusion GAN for Image Super-Resolution","abstract":"In recent years, diffusion models have emerged as a superior alternative to generative adversarial networks (GANs) for high-fidelity image generation, with wide applications in text-to-image generation, image-to-image translation, and super-resolution. However, their real-time feasibility is hindered by slow training and inference speeds. This study addresses this challenge by proposing a wavelet-based conditional Di","authors":["Aloisi, Lorenzo","Sigillo, Luigi","Uncini, Aurelio","Comminiello, Danilo"],"url":"https://arxiv.org/abs/2410.17966","arxiv_id":"2410.17966","published":"2026-05-08"},{"title":"An information-matching approach to optimal experimental design and active learning","abstract":"The efficacy of mathematical models heavily depends on the quality of the training data, yet collecting sufficient data is often expensive and challenging. Many modeling applications require inferring parameters only as a means to predict other quantities of interest (QoI). Because models often contain many unidentifiable (sloppy) parameters, QoIs often depend on a relatively small number of parameter combinations. T","authors":["Kurniawan, Yonatan","Neilsen, Tracianne B.","Francis, Benjamin L.","Stankovic, Alex M.","Wen, Mingjian","Nikiforov, Ilia"],"url":"https://arxiv.org/abs/2411.02740","arxiv_id":"2411.02740","published":"2026-05-08"},{"title":"How Does A Text Preprocessing Pipeline Affect Ontology Matching?","abstract":"The classical text preprocessing pipeline, comprising Tokenisation, Normalisation, Stop Words Removal, and Stemming/Lemmatisation, has been implemented in many systems for ontology matching (OM). However, the lack of standardisation in text preprocessing creates diversity in the mapping results. In this paper, we investigate the effect of the text preprocessing pipeline on 8 Ontology Alignment Evaluation Initiative (","authors":["Qiang, Zhangcheng","Taylor, Kerry","Wang, Weiqing"],"url":"https://arxiv.org/abs/2411.03962","arxiv_id":"2411.03962","published":"2026-05-08"},{"title":"DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learning","abstract":"Federated Learning (FL) enables collaborative model training across distributed devices while preserving local data privacy, making it ideal for mobile and embedded systems. However, the decentralized nature of FL also opens vulnerabilities to model poisoning attacks, particularly backdoor attacks, where adversaries implant trigger patterns to manipulate model predictions. In this paper, we propose DeTrigger, a scala","authors":["Lee, Kichang","Shin, Yujin","Yun, Jonghyuk","Kim, Songkuk","Han, Jun","Ko, JeongGil"],"url":"https://arxiv.org/abs/2411.12220","arxiv_id":"2411.12220","published":"2026-05-08"},{"title":"KFC-W: Generating 3D-Consistent Videos from Unposed Internet Photos","abstract":"We address the problem of generating videos from unposed internet photos. A handful of input images serve as keyframes, and our model interpolates between them to simulate a path moving between the cameras. Given random images, a model's ability to capture underlying geometry, recognize scene identity, and relate frames in terms of camera position and orientation reflects a fundamental understanding of 3D structu","authors":["Chou, Gene","Zhang, Kai","Bi, Sai","Tan, Hao","Xu, Zexiang","Luan, Fujun"],"url":"https://arxiv.org/abs/2411.13549","arxiv_id":"2411.13549","published":"2026-05-08"},{"title":"CatNet: Controlling the False Discovery Rate in LSTM with SHAP Feature Importance and Gaussian Mirrors","abstract":"We introduce CatNet, an algorithm that effectively controls False Discovery Rate (FDR) and selects significant features in LSTM. CatNet employs the derivative of SHAP values to quantify the feature importance, and constructs a vector-formed mirror statistic for FDR control with the Gaussian Mirror algorithm. To avoid instability due to nonlinear or temporal correlations among features, we also propose a new kernel-ba","authors":["Han, Jiaan","Chen, Junxiao","Fu, Yanzhe"],"url":"https://arxiv.org/abs/2411.16666","arxiv_id":"2411.16666","published":"2026-05-08"},{"title":"ReMAP: Neural Reparameterization for Scalable MAP Inference in Arbitrary-Order Markov Random Fields","abstract":"Scalable high-quality MAP inference in arbitrary-order Markov Random Fields (MRFs) remains challenging. Approximate message-passing methods are often efficient but can degrade on dense or high-order instances, while exact solvers such as Toulbar2 become increasingly expensive at scale. We present ReMAP, an instance-wise neural reparameterization framework that directly optimizes a differentiable relaxation of the ori","authors":["Wang, Yaomin","Ying, Chaolong","Luo, Xiaodong","Yu, Tianshu"],"url":"https://arxiv.org/abs/2411.18954","arxiv_id":"2411.18954","published":"2026-05-08"},{"title":"SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation","abstract":"Originating from the diffusion phenomenon in physics, which describes the random movement and collisions of particles, diffusion generative models simulate a random walk in the data space along the denoising trajectory. This allows information to diffuse across regions, yielding harmonious outcomes. However, the chaotic and disordered nature of information diffusion in diffusion models often results in undesired inte","authors":["Pei, Yuhan","Wang, Ruoyu","Yang, Yongqi","Zhu, Ye","Russakovsky, Olga","Wu, Yu"],"url":"https://arxiv.org/abs/2411.19182","arxiv_id":"2411.19182","published":"2026-05-08"}],"history":{"events":[{"year":2025,"text":"Cardinal Robert Francis Prevost was elected as Pope Leo XIV (pictured), making him the first pope born in the United States, the first to hold either U.S. or Peruvian citizenship, the first from the Order of Saint Augustine, and the second from the Americas after his immediate predecessor, Pope Fran","url":"https://en.wikipedia.org/wiki/2025_conclave"},{"year":1987,"text":"A British Special Air Service unit ambushed a Provisional Irish Republican Army (IRA) unit in Loughgall, Northern Ireland, killing eight IRA members and one civilian.","url":"https://en.wikipedia.org/wiki/Special_Air_Service"},{"year":1984,"text":"The Soviet Union announced the boycott of the Summer Olympics in Los Angeles, citing security concerns.","url":"https://en.wikipedia.org/wiki/1984_Summer_Olympics_boycott"},{"year":1976,"text":"Great American Revolution opened at Six Flags Magic Mountain, California.","url":"https://en.wikipedia.org/wiki/The_Great_American_Revolution"},{"year":1972,"text":"Four members of Black September hijacked Sabena Flight 571 to demand the release of 315 Palestinians convicted on terrorism charges.","url":"https://en.wikipedia.org/wiki/Black_September_Organization"},{"year":1970,"text":"Construction workers attacked students and others who were protesting the Vietnam War in New York City.","url":"https://en.wikipedia.org/wiki/Hard_Hat_Riot"},{"year":1963,"text":"In Huế, South Vietnam, soldiers opened fire into a crowd of Buddhists protesting against a government ban on the flying of the Buddhist flag on Phật Đản, killing nine and sparking the Buddhist crisis.","url":"https://en.wikipedia.org/wiki/Hu%E1%BA%BF"},{"year":1957,"text":"South Vietnamese president Ngô Đình Diệm began a state visit to the United States, his regime's main sponsor.","url":"https://en.wikipedia.org/wiki/South_Vietnam"},{"year":1950,"text":"The Tollund Man, a naturally mummified corpse, was discovered in a peat bog near Silkeborg, Denmark.","url":"https://en.wikipedia.org/wiki/Tollund_Man"},{"year":1945,"text":"A parade in Sétif, French Algeria, celebrating the end of World War II in Europe became a riot and was followed by reprisals, carried out by colonial authorities over the following weeks, that killed thousands.","url":"https://en.wikipedia.org/wiki/S%C3%A9tif"},{"year":1942,"text":"World War II: The Axis launched a major counteroffensive, turning the tide of the Battle of the Kerch Peninsula.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1927,"text":"French aviators Charles Nungesser and François Coli aboard the biplane L'Oiseau Blanc took off from Paris, attempting to make the first non-stop flight to New York, only to disappear before arrival.","url":"https://en.wikipedia.org/wiki/Charles_Nungesser"},{"year":1842,"text":"A train derailed and caught fire near Versailles, France, killing at least 52 people.","url":"https://en.wikipedia.org/wiki/Versailles_rail_accident"},{"year":1821,"text":"Greek War of Independence: At the Battle of Gravia Inn, a 120-man Greek force led by Odysseas Androutsos repulsed an Ottoman army of 8,000 soldiers.","url":"https://en.wikipedia.org/wiki/Greek_War_of_Independence"},{"year":1643,"text":"First English Civil War: The first siege of Wardour Castle ended after six days with the surrender of the Royalist garrison under Lady Blanche Arundell","url":"https://en.wikipedia.org/wiki/First_English_Civil_War"},{"year":1373,"text":"Julian of Norwich experienced religious visions, later recorded in Revelations of Divine Love, the earliest surviving English-language work attributed to a woman.","url":"https://en.wikipedia.org/wiki/Julian_of_Norwich"}],"births":[{"year":2005,"text":"Oliver Bearman, English racing driver","url":"https://en.wikipedia.org/wiki/Oliver_Bearman"},{"year":2003,"text":"Moulay Hassan, Crown Prince of Morocco","url":"https://en.wikipedia.org/wiki/Moulay_Hassan%2C_Crown_Prince_of_Morocco"},{"year":2001,"text":"Jordyn Huitema, Canadian soccer player","url":"https://en.wikipedia.org/wiki/Jordyn_Huitema"},{"year":1996,"text":"6ix9ine, American rapper","url":"https://en.wikipedia.org/wiki/6ix9ine"},{"year":1993,"text":"Pat Cummins, Australian cricketer","url":"https://en.wikipedia.org/wiki/Pat_Cummins"},{"year":1992,"text":"Olivia Culpo, American model and actress","url":"https://en.wikipedia.org/wiki/Olivia_Culpo"},{"year":1992,"text":"Kevin Hayes, American ice hockey player","url":"https://en.wikipedia.org/wiki/Kevin_Hayes"},{"year":1990,"text":"Lane Johnson, American football player","url":"https://en.wikipedia.org/wiki/Lane_Johnson"}],"deaths":[{"year":2025,"text":"Simon Mann, British military officer and mercenary (born 1952)","url":"https://en.wikipedia.org/wiki/Simon_Mann"},{"year":2024,"text":"Chris Cannon, American politician (born 1950)","url":"https://en.wikipedia.org/wiki/Chris_Cannon"},{"year":2024,"text":"Jimmy Johnson, American football player (born 1938)","url":"https://en.wikipedia.org/wiki/Jimmy_Johnson_(cornerback)"},{"year":2024,"text":"Pete McCloskey, American politician (born 1927)","url":"https://en.wikipedia.org/wiki/Pete_McCloskey"},{"year":2024,"text":"Ramón Fonseca Mora, Panamanian novelist and lawyer (born 1952)","url":"https://en.wikipedia.org/wiki/Ram%C3%B3n_Fonseca_Mora"},{"year":2023,"text":"Rita Lee, Brazilian musician and author (born 1947)","url":"https://en.wikipedia.org/wiki/Rita_Lee"},{"year":2022,"text":"Robert Gillmor, British wildlife artist and illustrator (born 1936)","url":"https://en.wikipedia.org/wiki/Robert_Gillmor"},{"year":2022,"text":"Dennis Waterman, English actor and singer (born 1948)","url":"https://en.wikipedia.org/wiki/Dennis_Waterman"}]},"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."}