{"date":"2026-04-23","schema_version":1,"captured_at":"2026-08-25T23:38:28.827Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Nahui Ollin","views":1107114,"rank":3,"extract":"Nahui Ollin is a 16th-century concept in Aztec/Mexica cosmology with a variety of meanings. Nahui translates to \"four,\" and Ollin translates to \"movement\" or \"motion.\" Ollin was primarily portrayed in Aztec codices as two interlaced lines, each portrayed with ","url":"https://en.wikipedia.org/wiki/Nahui_Ollin","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/14/Nahui_Ollin_Codex_Borbonicus_hieroglyph.jpg/330px-Nahui_Ollin_Codex_Borbonicus_hieroglyph.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Dave Mason","views":202462,"rank":5,"extract":"David Thomas Mason was an English musician who came to prominence in 1967 as a founding member of the rock band Traffic. 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First held on April 22, 1970, it now includes a wide range of events coordinated globally through earthday.org including 1 billion people in more than 193 countries.","url":"https://en.wikipedia.org/wiki/Earth_Day","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/6a/Earth_Day_Flag.png/330px-Earth_Day_Flag.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"List of highest-grossing Indian films","views":171750,"rank":7,"extract":"This ranking lists the highest-grossing Indian films produced by Indian cinema, based on conservative global box office estimates as reported by organisations classified as green by Wikipedia. The figures are not adjusted for inflation. However, there is no of","url":"https://en.wikipedia.org/wiki/List_of_highest-grossing_Indian_films","thumb":null},{"title":"Michael (2026 film)","views":161669,"rank":8,"extract":"Michael is a 2026 biographical film directed by Antoine Fuqua and written by John Logan. 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The film stars Akshay Kumar, Paresh Rawal, Jisshu Sengupt","url":"https://en.wikipedia.org/wiki/Bhooth_Bangla","thumb":"https://upload.wikimedia.org/wikipedia/en/9/9e/Bhooth_Bangla_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Limonene","views":85221,"rank":28,"extract":"Limonene is a slightly yellow-green liquid aliphatic hydrocarbon classified as a cyclic monoterpene, and is the major component in the fragrance and essential oil of citrus fruit peels, taking its name from Italian limone (\"lemon\").","url":"https://en.wikipedia.org/wiki/Limonene","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/c/cb/Limonene.jpg/330px-Limonene.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Beef (TV series)","views":80457,"rank":29,"extract":"Beef is an American comedy drama anthology television series created by Lee Sung Jin for Netflix. Season 1 stars Steven Yeun and Ali Wong as Danny Cho and Amy Lau, two strangers whose involvement in a road rage incident escalates into a prolonged feud. Appeari","url":"https://en.wikipedia.org/wiki/Beef_(TV_series)","thumb":null},{"title":"Euphoria (American TV series)","views":77576,"rank":30,"extract":"Euphoria is an American psychological drama television series created and written by Sam Levinson for HBO. Based on the Israeli miniseries of the same name created by Ron Leshem, the series stars Zendaya as drug-addicted teenager Rue Bennett, who also serves a","url":"https://en.wikipedia.org/wiki/Euphoria_(American_TV_series)","thumb":null},{"title":"The Boys (TV series)","views":75202,"rank":31,"extract":"The Boys is an American satirical superhero streaming television series developed by Eric Kripke for Amazon Prime Video. 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Her films have grossed over $6.8 billion worldwide.","url":"https://en.wikipedia.org/wiki/Anne_Hathaway","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/da/Anne_Hathaway-_Press_conference_for_the_film_%22The_Devil_Wears_Prada_2%22_-_55194764955_%28cropped%29.jpg/330px-Anne_Hathaway-_Press_conference_for_the_film_%22The_Devil_Wears_Prada_2%22_-_55194764955_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Jack Quaid","views":62935,"rank":35,"extract":"Jack Henry Quaid is an American actor. The son of actors Meg Ryan and Dennis Quaid, he is also the nephew of character actor Randy Quaid. He made his acting debut with a minor role in the dystopian film The Hunger Games (2012). 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market","points":251,"comments":2,"url":"https://www.justice.gov/usao-sdny/pr/us-soldier-charged-using-classified-information-profit-prediction-market-bets?bm-verify=AAQAAAAN_____y6To7sZYZ502biZwIHXlr-7zXZUqV4H0xLTfW__wDA3SjNLqifXRaQwsikyuz6IJknyuL8xfVYRkesxcDk5V10m-HoXl2K93f17rygBphL77WVFoQ_XvlmUo922IwM_DQ66137X6wWMtpdHslcEjpJG7KbBmUw9Su4kDENpDt_yv2spThQZehgv-X1Adk5U2VHfp41co2s_QJGjRj4y0KmL1mhSCyVaE7MC1LHG0mtP-xYmD0xBOQwn6PlHkPiP5Nt46h5ZIjLGXgCZDEVD42i7rIEM379DKLPUPX0PDNmOAwFSuTqcTDVnT_UUV8vxpHLRMb7rUxPxKUPcIB23iZTRJddWDDtPHMXadpwv67xr-f1sKDLZT9NgHCO4iuC2EthmAt0","discussion":"https://news.ycombinator.com/item?id=47883108"},{"title":"Email could have been X.400 times better","points":239,"comments":206,"url":"https://buttondown.com/blog/x400-vs-smtp-email","discussion":"https://news.ycombinator.com/item?id=47873323"},{"title":"Show HN: Turning a Gaussian Splat into a 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Previous approaches usually combine a specific distance measure for time series and a standard clustering method. However, these approaches do not take the similarity of the different subsequences of each time series into account, which can be used to better compare the time series objects of the dataset","authors":["Guijo-Rubio, David","Durán-Rosal, Antonio Manuel","Gutiérrez, Pedro Antonio","Troncoso, Alicia","Hervás-Martínez, César"],"url":"https://arxiv.org/abs/1810.11624","arxiv_id":"1810.11624","published":"2026-04-23"},{"title":"Tropical time series, iterated-sums signatures and quasisymmetric functions","abstract":"Aiming for a systematic feature-extraction from time series, we introduce the iterated-sums signature over arbitrary commutative semirings. The case of the tropical semiring is a central, and our motivating example. It leads to features of (real-valued) time series that are not easily available using existing signature-type objects. We demonstrate how the signature extracts chronological aspects of a time series, and","authors":["Diehl, Joscha","Ebrahimi-Fard, Kurusch","Tapia, Nikolas"],"url":"https://arxiv.org/abs/2009.08443","arxiv_id":"2009.08443","published":"2026-04-23"},{"title":"Energy Decay Network (EDeN)","abstract":"This paper and accompanying Python and C++ Framework is the product of the authors perceived problems with narrow (Discrimination based) AI. (Artificial Intelligence) The Framework attempts to develop a genetic transfer of experience through potential structural expressions using a common regulation/exchange value (energy) to create a model whereby neural architecture and all unit processes are co-dependently develop","authors":["Shelley, Jamie Nicholas","Consultancy, Optishell"],"url":"https://arxiv.org/abs/2103.15552","arxiv_id":"2103.15552","published":"2026-04-23"},{"title":"Diffusion Approximations for Thompson Sampling in the Small Gap Regime","abstract":"We study the process-level dynamics of Thompson sampling and related sampling-based bandit algorithms in the ``small gap'' regime, where the gaps between the arm means are of order $\\sqrtγ$ or smaller and the time horizon is of order $1/γ$, with $γ\\downarrow 0$. In this regime, as $γ\\downarrow 0$, we show that the process-level dynamics of such algorithms converge weakly to the solutions to certain stochastic","authors":["Fan, Lin","Glynn, Peter W."],"url":"https://arxiv.org/abs/2105.09232","arxiv_id":"2105.09232","published":"2026-04-23"},{"title":"Morphological Classification of Galaxies in S-PLUS using an Ensemble of Convolutional Networks","abstract":"The universe is composed of galaxies that have diverse shapes. Once the structure of a galaxy is determined, it is possible to obtain important information about its formation and evolution. Morphologically classifying galaxies means cataloging them according to their visual appearance and the classification is linked to the physical properties of the galaxy. A morphological classification made through visual inspect","authors":["Cardoso, N. M.","Schwarz, G. B. O.","Dias, L. O.","Bom, C. R.","Sodré Jr., L.","de Oliveira, C. Mendes"],"url":"https://arxiv.org/abs/2107.02287","arxiv_id":"2107.02287","published":"2026-04-23"},{"title":"DetailCLIP: Injecting Image Details into CLIP's Feature Space","abstract":"Although CLIP-like Visual Language Models provide a functional joint feature space for image and text, due to the limitation of the CILP-like model's image input size (e.g., 224), subtle details are lost in the feature representation if we input high-resolution images (e.g., 2240). Our proposed framework addresses this issue by generating a single feature representation for a high-resolution image that retains im","authors":["Zhang, Zilun","Shen, Cuifeng","Shen, Yuan","Zhou, Xinyu","Xiong, Huixin","Zhao, Tiancheng"],"url":"https://arxiv.org/abs/2208.14649","arxiv_id":"2208.14649","published":"2026-04-23"},{"title":"A Dictionary-based approach to Time Series Ordinal Classification","abstract":"Time Series Classification (TSC) is an extensively researched field from which a broad range of real-world problems can be addressed obtaining excellent results. One sort of the approaches performing well are the so-called dictionary-based techniques. The Temporal Dictionary Ensemble (TDE) is the current state-of-the-art dictionary-based TSC approach. In many TSC problems we find a natural ordering in the labels asso","authors":["Ayllón-Gavilán, Rafael","Guijo-Rubio, David","Gutiérrez, Pedro Antonio","Hervás-Martinez, César"],"url":"https://arxiv.org/abs/2305.09288","arxiv_id":"2305.09288","published":"2026-04-23"},{"title":"Convolutional and Deep Learning based techniques for Time Series Ordinal Classification","abstract":"Time Series Classification (TSC) covers the supervised learning problem where input data is provided in the form of series of values observed through repeated measurements over time, and whose objective is to predict the category to which they belong. When the class values are ordinal, classifiers that take this into account can perform better than nominal classifiers. Time Series Ordinal Classification (TSOC) is the","authors":["Ayllón-Gavilán, Rafael","Guijo-Rubio, David","Gutiérrez, Pedro Antonio","Bagnall, Anthony","Hervás-Martínez, César"],"url":"https://arxiv.org/abs/2306.10084","arxiv_id":"2306.10084","published":"2026-04-23"},{"title":"Policy Gradient with Kernel Quadrature","abstract":"Reward evaluation of episodes becomes a bottleneck in a broad range of reinforcement learning tasks. Our aim in this paper is to select a small but representative subset of a large batch of episodes, only on which we actually compute rewards for more efficient policy gradient iterations. We build a Gaussian process modeling of discounted returns or rewards to derive a positive definite kernel on the space of episodes","authors":["Hayakawa, Satoshi","Morimura, Tetsuro"],"url":"https://arxiv.org/abs/2310.14768","arxiv_id":"2310.14768","published":"2026-04-23"},{"title":"Community-Informed AI Models for Police Accountability","abstract":"Face-to-face interactions between police officers and the public affect both individual well-being and democratic legitimacy. Many government-public interactions are captured on video, including interactions between police officers and drivers captured on bodyworn cameras (BWCs). New advances in AI technology enable these interactions to be analyzed at scale, opening promising avenues for improving government transpa","authors":["Graham, Benjamin A. T.","Brown, Lauren","Chochlakis, Georgios","Dehghani, Morteza","Delerme, Raquel","Friedman, Brittany"],"url":"https://arxiv.org/abs/2402.01703","arxiv_id":"2402.01703","published":"2026-04-23"},{"title":"Issues with Value-Based Multi-objective Reinforcement Learning: Value Function Interference and Overestimation Sensitivity","abstract":"Multi-objective reinforcement learning (MORL) algorithms extend conventional reinforcement learning (RL) to the more general case of problems with multiple, conflicting objectives, represented by vector-valued rewards. Widely-used scalar RL methods such as Q-learning can be modified to handle multiple objectives by (1) learning vector-valued value functions, and (2) performing action selection using a scalarisation o","authors":["Vamplew, Peter","Ethan","Watkins","Foale, Cameron","Dazeley, Richard"],"url":"https://arxiv.org/abs/2402.06266","arxiv_id":"2402.06266","published":"2026-04-23"},{"title":"Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data","abstract":"Functional linear discriminant analysis (FLDA) is a powerful tool that extends LDA-mediated multiclass classification and dimension reduction to univariate time-series functions. However, in the age of large multivariate and incomplete data, statistical dependencies between features must be estimated in a computationally tractable way, while also dealing with missing data. There is a need for a computationally tracta","authors":["Bordoloi, Rahul","Réda, Clémence","Trautmann, Orell","Bej, Saptarshi","Wolkenhauer, Olaf"],"url":"https://arxiv.org/abs/2402.13103","arxiv_id":"2402.13103","published":"2026-04-23"},{"title":"Automated Description Generation of Cytologic Findings for Lung Cytological Images Using a Pretrained Vision Model and Dual Text Decoders: Preliminary Study","abstract":"Objective: Cytology plays a crucial role in lung cancer diagnosis. Pulmonary cytology involves cell morphological characterization in the specimen and reporting the corresponding findings, which are extremely burdensome tasks. In this study, we propose a technique to generate cytologic findings from for cytologic images to assist in the reporting of pulmonary cytology. Methods: For this study, 801 patch images were r","authors":["Teramoto, Atsushi","Michiba, Ayano","Kiriyama, Yuka","Tsukamoto, Tetsuya","Imaizumi, Kazuyoshi","Fujita, Hiroshi"],"url":"https://arxiv.org/abs/2403.18151","arxiv_id":"2403.18151","published":"2026-04-23"},{"title":"Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining","abstract":"In the domain of data science, the predictive tasks of classification, regression, and imputation of missing values are commonly encountered challenges associated with tabular data. This research endeavors to apply Large Language Models (LLMs) towards addressing these predictive tasks. Despite their proficiency in comprehending natural language, LLMs fall short in dealing with structured tabular data. This limitation","authors":["Yang, Yazheng","Wang, Yuqi","Li, Yaxuan","Sen, Sankalok","Li, Lei","Qiu, Lin"],"url":"https://arxiv.org/abs/2403.20208","arxiv_id":"2403.20208","published":"2026-04-23"},{"title":"Deciphering interventional dynamical causality from non-intervention complex systems","abstract":"Detecting and quantifying causality is a focal topic in the fields of science, engineering, and interdisciplinary studies. However, causal studies on non-intervention systems attract much attention but remain extremely challenging. Delay-embedding technique provides a promising approach. In this study, we propose a framework named Interventional Dynamical Causality (IntDC) in contrast to the traditional Constructive ","authors":["Shi, Jifan","Li, Yang","Zhao, Juan","Leng, Siyang","Bao, Rui","Aihara, Kazuyuki"],"url":"https://arxiv.org/abs/2407.01621","arxiv_id":"2407.01621","published":"2026-04-23"},{"title":"Towards Certified Unlearning for Deep Neural Networks","abstract":"In the field of machine unlearning, certified unlearning has been extensively studied in convex machine learning models due to its high efficiency and strong theoretical guarantees. However, its application to deep neural networks (DNNs), known for their highly nonconvex nature, still poses challenges. To bridge the gap between certified unlearning and DNNs, we propose several simple techniques to extend certified un","authors":["Zhang, Binchi","Dong, Yushun","Wang, Tianhao","Li, Jundong"],"url":"https://arxiv.org/abs/2408.00920","arxiv_id":"2408.00920","published":"2026-04-23"},{"title":"Verification of Machine Unlearning is Fragile","abstract":"As privacy concerns escalate in the realm of machine learning, data owners now have the option to utilize machine unlearning to remove their data from machine learning models, following recent legislation. To enhance transparency in machine unlearning and avoid potential dishonesty by model providers, various verification strategies have been proposed. These strategies enable data owners to ascertain whether their ta","authors":["Zhang, Binchi","Chen, Zihan","Shen, Cong","Li, Jundong"],"url":"https://arxiv.org/abs/2408.00929","arxiv_id":"2408.00929","published":"2026-04-23"},{"title":"Learning Multi-Modal Whole-Body Control for Real-World Humanoid Robots","abstract":"A major challenge in humanoid robotics is designing a unified interface for commanding diverse whole-body behaviors, from precise footstep sequences to partial-body mimicry and joystick teleoperation. We introduce the Masked Humanoid Controller (MHC), a learned whole-body controller that exposes a simple yet expressive interface: the specification of masked target trajectories over selected subsets of the robot's","authors":["Dugar, Pranay","Shrestha, Aayam","Yu, Fangzhou","van Marum, Bart","Fern, Alan"],"url":"https://arxiv.org/abs/2408.07295","arxiv_id":"2408.07295","published":"2026-04-23"},{"title":"Fairness Testing of Large Language Models in Role-Playing","abstract":"Large Language Models (LLMs) have become foundational in modern language-driven software applications, profoundly influencing daily life. A critical technique in leveraging their potential is role-playing, where LLMs simulate diverse roles to enhance their real-world utility. However, while research has highlighted the presence of social biases in LLM outputs, it remains unclear whether and to what extent these biase","authors":["Li, Xinyue","Chen, Zhenpeng","Zhang, Jie M.","Xiao, Ying","Li, Tianlin","Sun, Weisong"],"url":"https://arxiv.org/abs/2411.00585","arxiv_id":"2411.00585","published":"2026-04-23"},{"title":"Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation","abstract":"Domain randomization through synthesis is a powerful strategy to train networks that are unbiased with respect to the domain of the input images. Randomization allows networks to see a virtually infinite range of intensities and artifacts during training, thereby minimizing overfitting to appearance and maximizing generalization to unseen data. Although powerful, this approach relies on the accurate tuning of a large","authors":["Hu, Xiaoling","Zeng, Xiangrui","Puonti, Oula","Iglesias, Juan Eugenio","Fischl, Bruce","Balbastre, Yael"],"url":"https://arxiv.org/abs/2411.16719","arxiv_id":"2411.16719","published":"2026-04-23"},{"title":"Excretion Detection in Pigsties Using Convolutional and Transformerbased Deep Neural Networks","abstract":"Animal excretions in form of urine puddles and feces are a significant source of emissions in livestock farming. Automated detection of soiled floor in barns can contribute to improved management processes but also the derived information can be used to model emission dynamics. Previous research approaches to determine the puddle area require manual detection of the puddle in the barn. While humans can detect animal ","authors":["Mielke, Simon","Stein, Anthony"],"url":"https://arxiv.org/abs/2412.00256","arxiv_id":"2412.00256","published":"2026-04-23"},{"title":"BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching","abstract":"Large language models (LLMs) increasingly play an important role in a wide range of information processing and management tasks in industry. Many of these tasks are performed in large batches or even offline, and the performance indicator for which is throughput. These tasks usually show the characteristic of prefix sharing, where different prompt input can partially show the common prefix. However, the existing LLM ","authors":["Zheng, Zhen","Ji, Xin","Fang, Taosong","Zhou, Fanghao","Liu, Chuanjie","Peng, Gang"],"url":"https://arxiv.org/abs/2412.03594","arxiv_id":"2412.03594","published":"2026-04-23"},{"title":"Splitting criteria for ordinal decision trees: an experimental study","abstract":"Ordinal Classification (OC) addresses those classification tasks where the labels exhibit a natural order. Unlike nominal classification, which treats all classes as mutually exclusive and unordered, OC takes the ordinal relationship into account, producing more accurate and relevant results. This is particularly critical in applications where the magnitude of classification errors has significant consequences. Despi","authors":["Ayllón-Gavilán, Rafael","Martínez-Estudillo, Francisco José","Guijo-Rubio, David","Hervás-Martínez, César","Gutiérrez, Pedro Antonio"],"url":"https://arxiv.org/abs/2412.13697","arxiv_id":"2412.13697","published":"2026-04-23"},{"title":"MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design","abstract":"Quantization has become one of the most effective methodologies to compress LLMs into smaller size. However, the existing quantization solutions still show limitations of either non-negligible accuracy drop or low system efficiency. In this paper, we propose MixLLM that explores the optimization space of mixed-precision quantization between output features, based on the insight that different features matter differen","authors":["Zheng, Zhen","Song, Xiaonan","Liu, Chuanjie"],"url":"https://arxiv.org/abs/2412.14590","arxiv_id":"2412.14590","published":"2026-04-23"},{"title":"Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search","abstract":"This paper introduces a quantum framework for addressing reinforcement learning (RL) tasks, grounded in the quantum principles and leveraging a fully quantum model of the classical Markov decision process (MDP). By employing quantum concepts and a quantum search algorithm, this work presents the implementation and optimization of the agent-environment interactions entirely within the quantum domain, eliminating relia","authors":["Su, Thet Htar","Shresthamali, Shaswot","Kondo, Masaaki"],"url":"https://arxiv.org/abs/2412.18208","arxiv_id":"2412.18208","published":"2026-04-23"}],"history":{"events":[{"year":2018,"text":"A man intentionally struck pedestrians with a van on Yonge Street in Toronto, Canada, leading to 11 deaths.","url":"https://en.wikipedia.org/wiki/2018_Toronto_van_attack"},{"year":2010,"text":"Arizona governor Jan Brewer signed into law the controversial anti–illegal immigration bill SB 1070, much of which was later struck down by the U.S. Supreme Court.","url":"https://en.wikipedia.org/wiki/Jan_Brewer"},{"year":2009,"text":"The gamma-ray burst GRB 090423 was detected coming from the most distant astronomical object of any kind known at the time.","url":"https://en.wikipedia.org/wiki/Gamma-ray_burst"},{"year":1982,"text":"The ZX Spectrum (pictured), Britain's best-selling microcomputer, was released.","url":"https://en.wikipedia.org/wiki/ZX_Spectrum"},{"year":1979,"text":"Blair Peach, a New Zealand teacher, was fatally injured while taking part in an Anti-Nazi League demonstration against a National Front election meeting in Southall, London.","url":"https://en.wikipedia.org/wiki/Death_of_Blair_Peach"},{"year":1976,"text":"The American band the Ramones released their debut album, which became highly influential on the emerging punk rock movement.","url":"https://en.wikipedia.org/wiki/Ramones"},{"year":1971,"text":"The Rolling Stones released Sticky Fingers, the first album on their own label, Rolling Stones Records.","url":"https://en.wikipedia.org/wiki/The_Rolling_Stones"},{"year":1954,"text":"Batting for the Milwaukee Braves against Vic Raschi of the St. Louis Cardinals, Hank Aaron hit the first of his 755 home runs in Major League Baseball.","url":"https://en.wikipedia.org/wiki/Batting_(baseball)"},{"year":1951,"text":"American journalist William N. Oatis was arrested for espionage by the communist government of Czechoslovakia.","url":"https://en.wikipedia.org/wiki/William_N._Oatis"},{"year":1945,"text":"World War II: The US Army's 90th Infantry Division liberated Flossenbürg concentration camp (pictured) in Germany, freeing 1,500 prisoners.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1942,"text":"Second World War: In retaliation for the Royal Air Force's bombing of Lübeck, the Luftwaffe began a series of air raids across England, beginning with Exeter.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1927,"text":"Cardiff City defeated Arsenal 1–0 in the FA Cup final (match programme pictured) in the only time the FA Cup has been won by a non-English team.","url":"https://en.wikipedia.org/wiki/Cardiff_City_F.C."},{"year":1920,"text":"The Grand National Assembly of Turkey, the country's unicameral legislature, first met in Ankara in the midst of the Turkish War of Independence.","url":"https://en.wikipedia.org/wiki/Grand_National_Assembly_of_Turkey"},{"year":1918,"text":"First World War: The British Royal Navy launched unsuccessful raids on Ostend and Zeebrugge in German-occupied Belgium.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1891,"text":"Chilean Civil War: The armored frigate Blanco Encalada (pictured) was sunk at the Battle of Caldera Bay, the first ironclad warship lost to a self-propelled torpedo.","url":"https://en.wikipedia.org/wiki/Chilean_Civil_War_of_1891"},{"year":1724,"text":"Johann Sebastian Bach leads the first performance of his cantata Du Hirte Israel, höre, BWV 104, illustrating the topic of the Good Shepherd in pastoral music.","url":"https://en.wikipedia.org/wiki/Johann_Sebastian_Bach"},{"year":1685,"text":"Succeeding Charles II, his late brother, James II was crowned King of England, becoming last Catholic to hold the title.","url":"https://en.wikipedia.org/wiki/Charles_II_of_England"},{"year":1661,"text":"Charles II was crowned King of England, Scotland and Ireland at Westminster Abbey.","url":"https://en.wikipedia.org/wiki/Charles_II_of_England"}],"births":[{"year":2018,"text":"Prince Louis of Wales, British royal","url":"https://en.wikipedia.org/wiki/Prince_Louis_of_Wales"},{"year":2000,"text":"Chloe Kim, American snowboarder","url":"https://en.wikipedia.org/wiki/Chloe_Kim"},{"year":2000,"text":"Lee Jeno, South Korean rapper, vocalist and dancer","url":"https://en.wikipedia.org/wiki/Jeno_(singer)"},{"year":1999,"text":"Son Chaeyoung, South Korean rapper and singer-songwriter","url":"https://en.wikipedia.org/wiki/Chaeyoung"},{"year":1999,"text":"Laufey, Icelandic singer-songwriter and musician","url":"https://en.wikipedia.org/wiki/Laufey_(singer)"},{"year":1997,"text":"Zach Apple, American swimmer","url":"https://en.wikipedia.org/wiki/Zach_Apple"},{"year":1996,"text":"Carolina Alves, Brazilian tennis player","url":"https://en.wikipedia.org/wiki/Carolina_Alves_(tennis)"},{"year":1995,"text":"Gigi Hadid, American fashion model and television personality","url":"https://en.wikipedia.org/wiki/Gigi_Hadid"}],"deaths":[{"year":2026,"text":"Łukasz Litewka, Polish Parliament Member (born 1989)","url":"https://en.wikipedia.org/wiki/%C5%81ukasz_Litewka"},{"year":2024,"text":"Frank Field, British politician (born 1942)","url":"https://en.wikipedia.org/wiki/Frank_Field%2C_Baron_Field_of_Birkenhead"},{"year":2024,"text":"Helen Vendler, American Literary Critic (born 1933)","url":"https://en.wikipedia.org/wiki/Helen_Vendler"},{"year":2022,"text":"Orrin Hatch, American politician, President pro tempore of the United States Senate (born 1934)","url":"https://en.wikipedia.org/wiki/Orrin_Hatch"},{"year":2021,"text":"Dan Kaminsky, American internet security researcher (born 1979)","url":"https://en.wikipedia.org/wiki/Dan_Kaminsky"},{"year":2019,"text":"Charity Sunshine Tillemann-Dick, American soprano singer and presenter (born 1983)","url":"https://en.wikipedia.org/wiki/Charity_Sunshine_Tillemann-Dick"},{"year":2019,"text":"Jean, Grand Duke of Luxembourg (born 1921)","url":"https://en.wikipedia.org/wiki/Jean%2C_Grand_Duke_of_Luxembourg"},{"year":2016,"text":"Inge King, German-born Australian sculptor (born 1915)","url":"https://en.wikipedia.org/wiki/Inge_King"}]},"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 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."}