{"date":"2026-04-09","schema_version":1,"captured_at":"2026-08-25T23:35:51.445Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Aubrey Plaza","views":289395,"rank":5,"extract":"Aubrey Christina Plaza is an American actress, comedian, writer, and producer. She began performing improv and sketch comedy at the Upright Citizens Brigade Theatre. 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An investigation by The New York Times suggested that he may be Satoshi Nakamoto,","url":"https://en.wikipedia.org/wiki/Adam_Back","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/e/e2/Portrait_Adam_Back_photographe_Alexandre_Sitter.webp/330px-Portrait_Adam_Back_photographe_Alexandre_Sitter.webp.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"The Super Mario Galaxy Movie","views":69838,"rank":32,"extract":"The Super Mario Galaxy Movie is a 2026 American animated adventure comedy film based on Nintendo's Mario video game franchise. Directed by Aaron Horvath and Michael Jelenic and written by Matthew Fogel, it is the sequel to The Super Mario Bros. Movie (2023). C","url":"https://en.wikipedia.org/wiki/The_Super_Mario_Galaxy_Movie","thumb":"https://upload.wikimedia.org/wikipedia/en/b/bf/The_Super_Mario_Galaxy_Movie_poster.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Matthew Garber","views":69394,"rank":33,"extract":"Matthew Adam Garber was a British child actor, most notable as Michael Banks in the 1964 film Mary Poppins. 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The Masters is the first of four major championships to be played each year, with the final round of the Masters always being schedul","url":"https://en.wikipedia.org/wiki/List_of_Masters_Tournament_champions","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/7f/JackNicklaus.cropped.jpg/330px-JackNicklaus.cropped.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"}],"frontier":[{"title":"EFF is leaving X","points":1427,"comments":1316,"url":"https://www.eff.org/deeplinks/2026/04/eff-leaving-x","discussion":"https://news.ycombinator.com/item?id=47706268"},{"title":"LittleSnitch for Linux","points":1378,"comments":461,"url":"https://obdev.at/products/littlesnitch-linux/index.html","discussion":"https://news.ycombinator.com/item?id=47697870"},{"title":"How NASA built Artemis II’s fault-tolerant computer","points":645,"comments":235,"url":"https://cacm.acm.org/news/how-nasa-built-artemis-iis-fault-tolerant-computer/","discussion":"https://news.ycombinator.com/item?id=47704804"},{"title":"Native Instant Space Switching on macOS","points":644,"comments":334,"url":"https://arhan.sh/blog/native-instant-space-switching-on-macos/","discussion":"https://news.ycombinator.com/item?id=47708818"},{"title":"Meta removes ads for social media addiction litigation","points":632,"comments":253,"url":"https://www.axios.com/2026/04/09/meta-social-media-addiction-ads","discussion":"https://news.ycombinator.com/item?id=47703419"},{"title":"Starfling: A one-tap endless orbital slingshot game in a single HTML file","points":628,"comments":153,"url":"https://playstarfling.com","discussion":"https://news.ycombinator.com/item?id=47698455"},{"title":"Help Keep Thunderbird 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CPU","points":304,"comments":62,"url":"https://pizzalegacy.nl/blog/traffic-system.html","discussion":"https://news.ycombinator.com/item?id=47703123"},{"title":"Unfolder for Mac – A 3D model unfolding tool for creating papercraft","points":300,"comments":58,"url":"https://www.unfolder.app/","discussion":"https://news.ycombinator.com/item?id=47706140"},{"title":"The Vercel plugin on Claude Code wants to read your prompts","points":280,"comments":111,"url":"https://akshaychugh.xyz/writings/png/vercel-plugin-telemetry","discussion":"https://news.ycombinator.com/item?id=47704881"},{"title":"Netflix Prices Went Up Again – I Bought a DVD Player Instead","points":262,"comments":278,"url":"https://aywren.com/2026/04/09/netflix-prices-went-up-again-i-bought-a-dvd-player-instead/","discussion":"https://news.ycombinator.com/item?id=47709251"},{"title":"Am I German or Autistic?","points":259,"comments":227,"url":"https://german.millermanschool.com/","discussion":"https://news.ycombinator.com/item?id=47703072"},{"title":"Trump administration orders dismantling of the U.S. Forest Service","points":228,"comments":53,"url":"https://www.hatchmag.com/articles/trump-administration-orders-dismantling-us-forest-service/7716263","discussion":"https://news.ycombinator.com/item?id=47698132"},{"title":"PicoZ80 – Drop-In Z80 Replacement","points":226,"comments":34,"url":"https://eaw.app/picoz80/","discussion":"https://news.ycombinator.com/item?id=47708041"}],"research":[{"title":"A Robust 3D Registration Method via Simultaneous Inlier Identification and Model Estimation","abstract":"Robust 3D registration is a fundamental problem in computer vision and robotics, where the goal is to estimate the geometric transformation between two sets of measurements in the presence of noise, mismatches, and extreme outlier contamination. Existing robust registration methods are mainly built on either maximum consensus (MC) estimators, which first identify inliers and then estimate the transformation, or M-est","authors":["Qian, Xianyun","Wen, Fei","Liu, Peilin"],"url":"https://arxiv.org/abs/2008.01574","arxiv_id":"2008.01574","published":"2026-04-09"},{"title":"Sobolev Norm Learning Rates for Conditional Mean Embeddings","abstract":"We develop novel learning rates for conditional mean embeddings by applying the theory of interpolation for reproducing kernel Hilbert spaces (RKHS). We derive explicit, adaptive convergence rates for the sample estimator under the misspecifed setting, where the target operator is not Hilbert-Schmidt or bounded with respect to the input/output RKHSs. We demonstrate that in certain parameter regimes, we can achieve un","authors":["Talwai, Prem","Shameli, Ali","Simchi-Levi, David"],"url":"https://arxiv.org/abs/2105.07446","arxiv_id":"2105.07446","published":"2026-04-09"},{"title":"Decentralized Online Learning for Random Inverse Problems Over Graphs","abstract":"We propose a decentralized online learning algorithm for distributed random inverse problems over network graphs with online measurements, and unifies the distributed parameter estimation in Hilbert spaces and the least mean square problem in reproducing kernel Hilbert spaces (RKHS-LMS). We transform the convergence of the algorithm into the asymptotic stability of a class of inhomogeneous random difference equations","authors":["Zhang, Xiwei","Li, Tao","Chen, Yan","Long, Qianyuan"],"url":"https://arxiv.org/abs/2303.11789","arxiv_id":"2303.11789","published":"2026-04-09"},{"title":"DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models","abstract":"We demonstrate that pre-trained text-to-image diffusion models, despite being trained on raster images, possess a remarkable capacity to guide vector sketch synthesis. In this paper, we introduce DiffSketcher, a novel algorithm for generating vectorized free-hand sketches directly from natural language prompts. Our method optimizes a set of Bézier curves via an extended Score Distillation Sampling (SDS) loss, success","authors":["Xing, Ximing","Wang, Chuang","Zhou, Haitao","Zhang, Jing","Yu, Qian","Xu, Dong"],"url":"https://arxiv.org/abs/2306.14685","arxiv_id":"2306.14685","published":"2026-04-09"},{"title":"Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization","abstract":"We present a framework for smooth optimization of explicitly regularized objectives for (structured) sparsity. These non-smooth and possibly non-convex problems typically rely on solvers tailored to specific models and regularizers. In contrast, our method enables fully differentiable and approximation-free optimization and is thus compatible with the ubiquitous gradient descent paradigm in deep learning. The propose","authors":["Kolb, Chris","Müller, Christian L.","Bischl, Bernd","Rügamer, David"],"url":"https://arxiv.org/abs/2307.03571","arxiv_id":"2307.03571","published":"2026-04-09"},{"title":"ConfusionPrompt: Practical Private Inference for Online Large Language Models","abstract":"State-of-the-art large language models (LLMs) are typically deployed as online services, requiring users to transmit detailed prompts to cloud servers. This raises significant privacy concerns. In response, we introduce ConfusionPrompt, a novel framework for private LLM inference that protects user privacy by: (i) decomposing the original prompt into smaller sub-prompts, and (ii) generating pseudo-prompts alongside t","authors":["Mai, Peihua","Yang, Youjia","Yan, Ran","Ye, Rui","Pang, Yan"],"url":"https://arxiv.org/abs/2401.00870","arxiv_id":"2401.00870","published":"2026-04-09"},{"title":"Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget","abstract":"We study how to best spend a budget of noisy labels to compare the accuracy of two binary classifiers. It's common practice to collect and aggregate multiple noisy labels for a given data point into a less noisy label via a majority vote. We prove a theorem that runs counter to conventional wisdom. If the goal is to identify the better of two classifiers, we show it's best to spend the budget on collecting a ","authors":["Dorner, Florian E.","Hardt, Moritz"],"url":"https://arxiv.org/abs/2402.02249","arxiv_id":"2402.02249","published":"2026-04-09"},{"title":"Active Statistical Inference","abstract":"Inspired by the concept of active learning, we propose active inference$\\unicode{x2013}$a methodology for statistical inference with machine-learning-assisted data collection. Assuming a budget on the number of labels that can be collected, the methodology uses a machine learning model to identify which data points would be most beneficial to label, thus effectively utilizing the budget. It operates on a simple yet p","authors":["Zrnic, Tijana","Candès, Emmanuel J."],"url":"https://arxiv.org/abs/2403.03208","arxiv_id":"2403.03208","published":"2026-04-09"},{"title":"Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis","abstract":"Though numerous solvers have been proposed for the MaxSAT problem, and the benchmark environment such as MaxSAT Evaluations provides a platform for the comparison of the state-of-the-art solvers, existing assessments were usually evaluated based on the quality, e.g., fitness, of the best-found solutions obtained within a given running time budget. However, concerning solely the final obtained solutions regarding spec","authors":["Ye, Furong","Luo, Chuan","Cai, Shaowei"],"url":"https://arxiv.org/abs/2403.06568","arxiv_id":"2403.06568","published":"2026-04-09"},{"title":"Resistance Distance and Linearized Optimal Transport on Graphs","abstract":"We study the linearization of a discrete transportation distance between probability distributions on finite weighted graphs originally due to Maas (``Gradient flows of the entropy for finite {M}arkov chains,'' J. Funct. Anal. 261(8), 2011) which demonstrates various connections to the underlying combinatorial structure of the graph. For a connected graph and a reference density $μ$ on its vertices, our main ","authors":["Robertson, Sawyer","Wan, Zhengchao","Cloninger, Alexander"],"url":"https://arxiv.org/abs/2404.15261","arxiv_id":"2404.15261","published":"2026-04-09"},{"title":"Implantable Adaptive Cells: A Novel Enhancement for Pre-Trained U-Nets in Medical Image Segmentation","abstract":"This paper introduces a novel approach to enhance the performance of pre-trained neural networks in medical image segmentation using gradient-based Neural Architecture Search (NAS) methods. We present the concept of Implantable Adaptive Cell (IAC), small modules identified through Partially-Connected DARTS based approach, designed to be injected into the skip connections of an existing and already trained U-shaped mo","authors":["Benedykciuk, Emil","Denkowski, Marcin","Wójcik, Grzegorz"],"url":"https://arxiv.org/abs/2405.03420","arxiv_id":"2405.03420","published":"2026-04-09"},{"title":"Thompson Sampling for Infinite-Horizon Discounted Decision Processes","abstract":"This paper develops a viable notion of learning for sampling-based algorithms that applies in broader settings than previously considered. More specifically, we model a discounted infinite-horizon MDPs with Borel state and action spaces, whose rewards and transitions depend on an unknown parameter. To analyze adaptive learning algorithms based on sampling we introduce a general canonical probability space in this set","authors":["Adelman, Daniel","Keceli, Cagla","Olivares-Nadal, Alba V."],"url":"https://arxiv.org/abs/2405.08253","arxiv_id":"2405.08253","published":"2026-04-09"},{"title":"AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models","abstract":"In this paper, we introduce analytic federated learning (AFL), a new training paradigm that brings analytical (i.e., closed-form) solutions to the federated learning (FL) with pre-trained models. Our AFL draws inspiration from analytic learning -- a gradient-free technique that trains neural networks with analytical solutions in one epoch. In the local client training stage, the AFL facilitates a one-epoch training, ","authors":["He, Run","Tong, Kai","Fang, Di","Sun, Han","Zeng, Ziqian","Li, Haoran"],"url":"https://arxiv.org/abs/2405.16240","arxiv_id":"2405.16240","published":"2026-04-09"},{"title":"Differentially Private Best-Arm Identification","abstract":"Best Arm Identification (BAI) problems are progressively used for data-sensitive applications, such as designing adaptive clinical trials, tuning hyper-parameters, and conducting user studies. Motivated by the data privacy concerns invoked by these applications, we study the problem of BAI with fixed confidence in both the local and central models, i.e. $ε$-local and $ε$-global Differential Privacy (DP). First, to qu","authors":["Azize, Achraf","Jourdan, Marc","Marjani, Aymen Al","Basu, Debabrota"],"url":"https://arxiv.org/abs/2406.06408","arxiv_id":"2406.06408","published":"2026-04-09"},{"title":"SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification","abstract":"An effective integration of rich feature representations with robust classification mechanisms remains a key challenge in visual understanding tasks. This study introduces two novel deep learning models, SleepNet and DreamNet, which are designed to improve representation utilization through feature enrichment and reconstruction strategies. SleepNet integrates supervised learning with representations obtained from pre","authors":["Ni, Mingze","Liu, Wei"],"url":"https://arxiv.org/abs/2409.01633","arxiv_id":"2409.01633","published":"2026-04-09"},{"title":"UAVDB: Point-Guided Masks for UAV Detection and Segmentation","abstract":"Accurate detection of Unmanned Aerial Vehicles (UAVs) is critical for surveillance, security, and airspace monitoring. However, existing datasets remain limited in scale, resolution, and the ability to capture objects across extreme size variations. To address these challenges, we present UAVDB, a benchmark dataset for UAV detection and segmentation, constructed via a point-guided weak supervision pipeline. We introd","authors":["Chen, Yu-Hsi"],"url":"https://arxiv.org/abs/2409.06490","arxiv_id":"2409.06490","published":"2026-04-09"},{"title":"Matrix Profile for Anomaly Detection on Multidimensional Time Series","abstract":"The Matrix Profile (MP), a versatile tool for time series data mining, has been shown effective in time series anomaly detection (TSAD). This paper delves into the problem of anomaly detection in multidimensional time series, a common occurrence in real-world applications. For instance, in a manufacturing factory, multiple sensors installed across the site collect time-varying data for analysis. The Matrix Profile, n","authors":["Yeh, Chin-Chia Michael","Der, Audrey","Saini, Uday Singh","Lai, Vivian","Zheng, Yan","Wang, Junpeng"],"url":"https://arxiv.org/abs/2409.09298","arxiv_id":"2409.09298","published":"2026-04-09"},{"title":"Explainable AI needs formalization","abstract":"The field of "explainable artificial intelligence" (XAI) seemingly addresses the desire that decisions of machine learning systems should be human-understandable. However, in its current state, XAI itself needs scrutiny. Popular methods cannot reliably answer relevant questions about ML models, their training data, or test inputs, because they systematically attribute importance to input features that are ind","authors":["Haufe, Stefan","Wilming, Rick","Clark, Benedict","Zhumagambetov, Rustam","Boubekki, Ahcène","Martin, Jörg"],"url":"https://arxiv.org/abs/2409.14590","arxiv_id":"2409.14590","published":"2026-04-09"},{"title":"Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning","abstract":"In this paper, we build a reinforcement learning framework to study how children compose numbers using base-ten blocks. Studying numerical cognition in toddlers offers a powerful window into the learning process itself, because numbers sit at the intersection of language, logic, perception, and culture. Specifically, we utilize state of the art (SOTA) reinforcement learning algorithms and neural network architectures","authors":["Mittra, Tirthankar"],"url":"https://arxiv.org/abs/2410.08334","arxiv_id":"2410.08334","published":"2026-04-09"},{"title":"Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes","abstract":"As more applications of large language models (LLMs) for 3D content for immersive environments emerge, it is crucial to study user behaviour to identify interaction patterns and potential barriers to guide the future design of immersive content creation and editing systems which involve LLMs. In an empirical user study with 12 participants, we combine quantitative usage data with post-experience questionnaire feedbac","authors":["Chen, Junlong","Grubert, Jens","Kristensson, Per Ola"],"url":"https://arxiv.org/abs/2410.22177","arxiv_id":"2410.22177","published":"2026-04-09"},{"title":"OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations","abstract":"Despite significant advancements, segmentation based on deep neural networks in medical and surgical imaging faces several challenges, two of which we aim to address in this work. First, acquiring complete pixel-level segmentation labels for medical images is time-consuming and requires domain expertise. Second, typical segmentation pipelines cannot detect out-of-distribution (OOD) pixels, leaving them prone to spuri","authors":["Wang, Junwen","Wang, Zhonghao","MacCormac, Oscar","Shapey, Jonathan","Vercauteren, Tom"],"url":"https://arxiv.org/abs/2411.09553","arxiv_id":"2411.09553","published":"2026-04-09"},{"title":"From Exploration to Revelation: Detecting Dark Patterns in Mobile Apps","abstract":"Mobile apps are essential in daily life but frequently employ deceptive patterns, such as visual emphasis or linguistic nudging, to manipulate user behavior. Existing research largely relies on manual detection, which is time-consuming and cannot keep pace with rapidly evolving apps. Although recent work has explored automated approaches, these methods are limited to intra-page patterns, depend on manual app explorat","authors":["Chen, Jieshan","Wang, Zhen","Sun, Jiamou","Xing, Zhenchang","Lu, Qinghua","Huang, Qing"],"url":"https://arxiv.org/abs/2411.18084","arxiv_id":"2411.18084","published":"2026-04-09"},{"title":"MSG Score: Automated Video Verification for Reliable Multi-Scene Generation","abstract":"While text-to-video diffusion models have advanced significantly, creating coherent long-form content remains unreliable due to stochastic sampling artifacts. This necessitates generating multiple candidates, yet verifying them creates a severe bottleneck; manual review is unscalable, and existing automated metrics lack the adaptability and speed required for runtime monitoring. Another critical issue is the trade-of","authors":["Yoon, Daewon","Lee, Hyeongseok","Shin, Wonsik","Han, Sangyu","Kwak, Nojun"],"url":"https://arxiv.org/abs/2411.19121","arxiv_id":"2411.19121","published":"2026-04-09"},{"title":"Nonparametric Instrumental Regression via Kernel Methods is Minimax Optimal","abstract":"We study the kernel instrumental variable (KIV) algorithm, a kernel-based two-stage least-squares method for nonparametric instrumental variable regression. We provide a convergence analysis covering both identified and non-identified regimes: when the structural function is not identified, we show that the KIV estimator converges to the minimum-norm IV solution in the reproducing kernel Hilbert space associated with","authors":["Meunier, Dimitri","Li, Zhu","Christensen, Tim","Gretton, Arthur"],"url":"https://arxiv.org/abs/2411.19653","arxiv_id":"2411.19653","published":"2026-04-09"},{"title":"MozzaVID: Mozzarella Volumetric Image Dataset","abstract":"Influenced by the complexity of volumetric imaging, there is a shortage of established datasets useful for benchmarking volumetric deep-learning models. As a consequence, new and existing models are not easily comparable, limiting the development of architectures optimized specifically for volumetric data. To counteract this trend, we introduce MozzaVID -- a large, clean, and versatile volumetric classification datas","authors":["Pieta, Pawel Tomasz","Rasmussen, Peter Winkel","Dahl, Anders Bjorholm","Frisvad, Jeppe Revall","Bigdeli, Siavash Arjomand","Gundlach, Carsten"],"url":"https://arxiv.org/abs/2412.04880","arxiv_id":"2412.04880","published":"2026-04-09"}],"history":{"events":[{"year":2021,"text":"Myanmar civil war: Burmese military and police forces killed at least 82 civilians in the Bago massacre, including people protesting a recent coup d'état.","url":"https://en.wikipedia.org/wiki/Myanmar_civil_war_(2021%E2%80%93present)"},{"year":2021,"text":"Prince Philip, the consort of Queen Elizabeth II, died at Windsor Castle aged 99.","url":"https://en.wikipedia.org/wiki/Prince_Philip%2C_Duke_of_Edinburgh"},{"year":2005,"text":"Charles, Prince of Wales, married Camilla Parker Bowles in a civil ceremony at the Windsor Guildhall.","url":"https://en.wikipedia.org/wiki/Charles_III"},{"year":2003,"text":"Invasion of Iraq: Coalition forces captured Baghdad and the statue of Saddam Hussein in Firdos Square was toppled.","url":"https://en.wikipedia.org/wiki/2003_invasion_of_Iraq"},{"year":1999,"text":"Ibrahim Baré Maïnassara, President of Niger, was shot dead by soldiers in Niamey.","url":"https://en.wikipedia.org/wiki/Ibrahim_Bar%C3%A9_Ma%C3%AFnassara"},{"year":1993,"text":"Iranian filmmaker Morteza Avini was killed by a land mine in Fakkeh while producing a documentary.","url":"https://en.wikipedia.org/wiki/Morteza_Avini"},{"year":1980,"text":"Iraqi philosopher Muhammad Baqir al-Sadr (pictured) and his sister Amina were executed by the regime of Saddam Hussein.","url":"https://en.wikipedia.org/wiki/Muhammad_Baqir_al-Sadr"},{"year":1976,"text":"The first EMD F40PH, Amtrak's most widespread diesel locomotive for many years, entered into service.","url":"https://en.wikipedia.org/wiki/EMD_F40PH"},{"year":1967,"text":"The Boeing 737 took its maiden flight, eventually becoming the most produced commercial passenger jet airliner in the world.","url":"https://en.wikipedia.org/wiki/Boeing_737"},{"year":1959,"text":"NASA announced the selection of the Mercury Seven, the first astronauts in Project Mercury.","url":"https://en.wikipedia.org/wiki/NASA"},{"year":1948,"text":"Palestine war: Fighters from the Zionist paramilitary groups Irgun and Lehi attacked the village of Deir Yassin near Jerusalem, killing more than 100 Palestinian Arabs.","url":"https://en.wikipedia.org/wiki/1948_Palestine_war"},{"year":1947,"text":"Sixteen white and black men began a two-week journey in the American South, acting in defiance of local laws that enforced segregated seating on public buses.","url":"https://en.wikipedia.org/wiki/Journey_of_Reconciliation"},{"year":1947,"text":"The Glazier–Higgins–Woodward tornadoes killed 181 people and injured 970 others in Texas, Oklahoma, and Kansas.","url":"https://en.wikipedia.org/wiki/Tornado_outbreak_of_April_9%E2%80%9311%2C_1947"},{"year":1945,"text":"The German heavy cruiser Admiral Scheer (pictured), the most successful capital-ship surface raider of the Second World War, was sunk by British bombers in port in Kiel.","url":"https://en.wikipedia.org/wiki/Heavy_cruiser"},{"year":1942,"text":"World War II: Japanese forces defeated Allied troops at the Battle of Bataan in the Philippines before beginning to forcibly transfer more than 90,000 prisoners of war to prison camps in the Bataan Death March.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1940,"text":"World War II: During the German invasion of Norway, Vidkun Quisling attempted to seize power in the first coup to be broadcast over radio.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1939,"text":"After being denied permission to perform at Constitution Hall by the Daughters of the American Revolution, African-American singer Marian Anderson gave an open-air concert on the steps of the Lincoln Memorial in Washington, D.C.","url":"https://en.wikipedia.org/wiki/DAR_Constitution_Hall"},{"year":1917,"text":"First World War: The Canadian Corps began the first wave of attacks of the Battle of Vimy Ridge in Vimy, France.","url":"https://en.wikipedia.org/wiki/World_War_I"}],"births":[{"year":2004,"text":"TommyInnit, English YouTuber and streamer","url":"https://en.wikipedia.org/wiki/TommyInnit"},{"year":2003,"text":"Hwang Do-yun, South Korean footballer","url":"https://en.wikipedia.org/wiki/Hwang_Do-yun"},{"year":2001,"text":"Nika Mühl, Croatian basketball player","url":"https://en.wikipedia.org/wiki/Nika_M%C3%BChl"},{"year":2000,"text":"Tiago Djaló, Portuguese footballer","url":"https://en.wikipedia.org/wiki/Tiago_Djal%C3%B3"},{"year":2000,"text":"Jackie Evancho, American singer","url":"https://en.wikipedia.org/wiki/Jackie_Evancho"},{"year":1999,"text":"Stanley Nsoki, French footballer","url":"https://en.wikipedia.org/wiki/Stanley_Nsoki"},{"year":1999,"text":"Lil Nas X, American rapper","url":"https://en.wikipedia.org/wiki/Lil_Nas_X"},{"year":1999,"text":"Rúben Vinagre, Portuguese footballer","url":"https://en.wikipedia.org/wiki/R%C3%BAben_Vinagre"}],"deaths":[{"year":2025,"text":"Ray Shero, American ice hockey player and executive (born 1962)","url":"https://en.wikipedia.org/wiki/Ray_Shero"},{"year":2023,"text":"Karl Berger, German-American jazz pianist (born 1935)","url":"https://en.wikipedia.org/wiki/Karl_Berger"},{"year":2022,"text":"Dwayne Haskins, American football player (born 1997)","url":"https://en.wikipedia.org/wiki/Dwayne_Haskins"},{"year":2021,"text":"Prince Philip, Duke of Edinburgh, Prince of the United Kingdom, Prince of Greece and Denmark, Consort of Queen Elizabeth II (born 1921)","url":"https://en.wikipedia.org/wiki/Prince_Philip%2C_Duke_of_Edinburgh"},{"year":2021,"text":"DMX, American rapper and actor (born 1970)","url":"https://en.wikipedia.org/wiki/DMX"},{"year":2021,"text":"Nikki Grahame, British reality-TV icon (born 1982)","url":"https://en.wikipedia.org/wiki/Nikki_Grahame"},{"year":2021,"text":"Ian Gibson, British scientist and Labour Party politician (born 1938)","url":"https://en.wikipedia.org/wiki/Ian_Gibson_(politician)"},{"year":2021,"text":"Ramsey Clark, American lawyer (born 1927)","url":"https://en.wikipedia.org/wiki/Ramsey_Clark"}]},"census":null,"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 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Every item links to its source."}