{"date":"2026-03-26","schema_version":1,"captured_at":"2026-08-25T23:33:34.792Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Dhurandhar: The Revenge","views":567491,"rank":3,"extract":"Dhurandhar: The Revenge is a 2026 Indian Hindi-language spy action-thriller film written and directed by Aditya Dhar. It is produced by Dhar, Lokesh Dhar, and Jyoti Deshpande under Jio Studios and B62 Studios. 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He resigned from the BBC in 2024, during a police investigation into indecent images of children o","url":"https://en.wikipedia.org/wiki/Huw_Edwards","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/47/Huw_Edwards_%28James_Tamim_crop%29.jpg/330px-Huw_Edwards_%28James_Tamim_crop%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Danish general election","views":106026,"rank":12,"extract":"General elections were held in Denmark on 24 March 2026. All 179 seats in the Folketing were up for election, including 175 in Denmark proper, 2 in Greenland, and 2 in the Faroe Islands. 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He made his acting debut as Aquaman/Arthur Curry on The CW superhero series Smallville (2005–10), where he appeared as a guest star between the fifth and tenth seasons. He subsequently had a starring role in the Spik","url":"https://en.wikipedia.org/wiki/Alan_Ritchson","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/9/95/Alan_Ritchson_at_TIFF_2025_%28cropped%29.jpg/330px-Alan_Ritchson_at_TIFF_2025_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Project Hail Mary","views":90130,"rank":16,"extract":"Project Hail Mary is a 2021 hard science fiction novel by American writer Andy Weir. 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Cox claimed that his design was a true perpetual motion machine, but as the device is powered from changes in atmospheric pressure via a ","url":"https://en.wikipedia.org/wiki/Cox's_timepiece","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/73/Clocks%3B_James_Cox%27s_%22perpetual_motion%22_self-winding_clock._E_Wellcome_V0023851.jpg/330px-Clocks%3B_James_Cox%27s_%22perpetual_motion%22_self-winding_clock._E_Wellcome_V0023851.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Harry Potter (TV series)","views":72802,"rank":26,"extract":"Harry Potter is an upcoming fantasy television series developed for HBO, based on the series of eponymous fantasy books by British author J. K. Rowling. Produced by HBO, Warner Bros. Television, Brontë Film & TV, and Heyday Films, it stars Dominic McLaughlin a","url":"https://en.wikipedia.org/wiki/Harry_Potter_(TV_series)","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/Harry_Potter_TV_series_logo.png/330px-Harry_Potter_TV_series_logo.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Sarah Mullally","views":70992,"rank":28,"extract":"Dame Sarah Elisabeth Mullally is an Anglican bishop and England's former chief nursing officer who has served as the 106th archbishop of Canterbury since 28 January 2026. As archbishop, she is the senior bishop of the Church of England and the ceremonial head ","url":"https://en.wikipedia.org/wiki/Sarah_Mullally","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/4e/Official_portrait_of_The_Lord_Bishop_of_London_%283x4_cropped%29.jpg/330px-Official_portrait_of_The_Lord_Bishop_of_London_%283x4_cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Leonid Radvinsky","views":68916,"rank":29,"extract":"Leonid Saveliyovych Radvinsky was an American billionaire businessman and the majority owner of OnlyFans. 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The film centers around two young siblings, teenage girl","url":"https://en.wikipedia.org/wiki/The_Visit_(2015_American_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/b/ba/The_Visit_%282015_film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Acacia ixiophylla","views":66843,"rank":31,"extract":"Acacia ixiophylla, commonly known as umbrella wattle or sticky leaved wattle, is a species of flowering plant in the family Fabaceae and is endemic to eastern Australia. It is a spreading shrub with leathery, narrowly oblong to elliptic phyllodes, spherical he","url":"https://en.wikipedia.org/wiki/Acacia_ixiophylla","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/61/Acacia_ixiophylla_flowers.jpg/330px-Acacia_ixiophylla_flowers.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Chappell Roan","views":63624,"rank":33,"extract":"Kayleigh Rose Amstutz, known professionally as Chappell Roan, is an American singer and songwriter. 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The site aggregates records from Z-Library, Sci-Hub, and Library Genesis (LibGe","url":"https://en.wikipedia.org/wiki/Anna's_Archive","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Annasarchivehome_1.15.25.png/330px-Annasarchivehome_1.15.25.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"82nd Airborne Division","views":62877,"rank":35,"extract":"The 82nd Airborne Division is a United States Army airborne infantry division that specializes in parachute assault, based in Fort Bragg, North Carolina. Currently, the division is commanded by Major General Brandon Tegtmeier.","url":"https://en.wikipedia.org/wiki/82nd_Airborne_Division","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/4d/82nd_Airborne_Division_CSIB.svg/330px-82nd_Airborne_Division_CSIB.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"The Madison (TV series)","views":61990,"rank":36,"extract":"The Madison is a contemporary Western television series created by Taylor Sheridan for Paramount+. The series follows the Clyburn family, originally from New York City, who relocate to the Madison River valley of southwest Montana for emotional recovery follow","url":"https://en.wikipedia.org/wiki/The_Madison_(TV_series)","thumb":null}],"frontier":[{"title":"We haven't seen the worst of what gambling and prediction markets will do","points":908,"comments":697,"url":"https://www.derekthompson.org/p/we-havent-seen-the-worst-of-what","discussion":"https://news.ycombinator.com/item?id=47534848"},{"title":"End of \"Chat Control\": EU parliament stops mass surveillance","points":683,"comments":311,"url":"https://www.patrick-breyer.de/en/end-of-chat-control-eu-parliament-stops-mass-surveillance-in-voting-thriller-paving-the-way-for-genuine-child-protection/","discussion":"https://news.ycombinator.com/item?id=47529609"},{"title":"Apple discontinues the Mac 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For fixed values of the parameters, the game can be solved using standard algorithms. However, in many settings agents must act without knowing the values of the parameters that will be encountered in advance. Often the decisions must be made by a human under time and resource constraints, and it is unrealistic t","authors":["Ganzfried, Sam"],"url":"https://arxiv.org/abs/2104.14744","arxiv_id":"2104.14744","published":"2026-03-26"},{"title":"Entire Space Counterfactual Learning for Reliable Content Recommendations","abstract":"Post-click conversion rate (CVR) estimation is a fundamental task in developing effective recommender systems, yet it faces challenges from data sparsity and sample selection bias. To handle both challenges, the entire space multitask models are employed to decompose the user behavior track into a sequence of exposure $\\rightarrow$ click $\\rightarrow$ conversion, constructing surrogate learning tasks for CVR estimati","authors":["Wang, Hao","Chen, Zhichao","Liu, Zhaoran","Li, Haozhe","Yang, Degui","Liu, Xinggao"],"url":"https://arxiv.org/abs/2210.11039","arxiv_id":"2210.11039","published":"2026-03-26"},{"title":"A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data and LLMs Perspective","abstract":"Enterprise financial risk analysis aims at predicting the future financial risk of enterprises. Due to its wide and significant application, enterprise financial risk analysis has always been the core research topic in the fields of Finance and Management. Based on advanced computer science and artificial intelligence technologies, enterprise risk analysis research is experiencing rapid developments and making signif","authors":["Du, Huaming","Feng, Cancan","Lei, Yuqian","Zhang, Chenyang","Liu, Guisong","Kou, Gang"],"url":"https://arxiv.org/abs/2211.14997","arxiv_id":"2211.14997","published":"2026-03-26"},{"title":"WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation","abstract":"Transformer has been very successful in various computer vision tasks and understanding the working mechanism of transformer is important. As touchstones, weakly-supervised semantic segmentation (WSSS) and class activation map (CAM) are useful tasks for analyzing vision transformers (ViT). Based on the plain ViT pre-trained with ImageNet classification, we find that multi-layer, multi-head self-attention maps can pro","authors":["Zhu, Lianghui","Li, Yingyue","Fang, Jiemin","Liu, Yan","Xin, Hao","Liu, Wenyu"],"url":"https://arxiv.org/abs/2304.01184","arxiv_id":"2304.01184","published":"2026-03-26"},{"title":"MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis","abstract":"Data augmentation (DA) has been widely leveraged in computer vision to alleviate data shortage, while its application in medical imaging faces multiple challenges. The prevalent DA approaches in medical image analysis encompass conventional DA, synthetic DA, and automatic DA. However, these approaches may result in experience-driven design and intensive computation costs. Here, we propose a suitable yet general autom","authors":["Liu, Zhaoshan","Lv, Qiujie","Li, Yifan","Yang, Ziduo","Shen, Lei"],"url":"https://arxiv.org/abs/2306.17466","arxiv_id":"2306.17466","published":"2026-03-26"},{"title":"A Generalizable Deep Learning System for Cardiac MRI","abstract":"Cardiac MRI allows for a comprehensive assessment of myocardial structure, function and tissue characteristics. Here we describe a foundational vision system for cardiac MRI, capable of representing the breadth of human cardiovascular disease and health. Our deep-learning model is trained via self-supervised contrastive learning, in which visual concepts in cine-sequence cardiac MRI scans are learned from the raw tex","authors":["Shad, Rohan","Zakka, Cyril","Kaur, Dhamanpreet","Mathur, Mrudang","Fong, Robyn","Cho, Joseph"],"url":"https://arxiv.org/abs/2312.00357","arxiv_id":"2312.00357","published":"2026-03-26"},{"title":"Perturbative adaptive importance sampling for Bayesian LOO cross-validation","abstract":"Importance sampling (IS) is an efficient stand-in for model refitting in performing (LOO) cross-validation (CV) on a Bayesian model. IS inverts the Bayesian update for a single observation by reweighting posterior samples. The so-called importance weights have high variance -- we resolve this issue through adaptation by transformation. We observe that removing a single observation perturbs the posterior by $\\mathcal{","authors":["Chang, Joshua C","Li, Xiangting","Su, Tianyi","Xu, Shixin","Yao, Hao-Ren","Porcino, Julia"],"url":"https://arxiv.org/abs/2402.08151","arxiv_id":"2402.08151","published":"2026-03-26"},{"title":"Learning To Guide Human Decision Makers With Vision-Language Models","abstract":"There is growing interest in AI systems that support human decision-making in high-stakes domains (e.g., medical diagnosis) to improve decision quality and reduce cognitive load. Mainstream approaches pair human experts with a machine-learning model, offloading low-risk decisions to the model so that experts can focus on cases that require their judgment. This separation of responsibilities setup, however, is inadequ","authors":["Banerjee, Debodeep","Teso, Stefano","Sayin, Burcu","Passerini, Andrea"],"url":"https://arxiv.org/abs/2403.16501","arxiv_id":"2403.16501","published":"2026-03-26"},{"title":"Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation","abstract":"Matrix factorization (MF) is a widely used collaborative filtering (CF) algorithm for recommendation systems (RSs), due to its high prediction accuracy, great flexibility and high efficiency in big data processing. However, with the dramatically increased number of users/items in current RSs, the computational complexity for training a MF model largely increases. Many existing works have accelerated MF, by either put","authors":["Wu, Yining","Duan, Shengyu","Sai, Gaole","Cao, Chenhong","Zou, Guobing"],"url":"https://arxiv.org/abs/2404.04265","arxiv_id":"2404.04265","published":"2026-03-26"},{"title":"DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough Roads","abstract":"Adverse weather conditions, low-light environments, and bumpy road surfaces pose significant challenges to SLAM in robotic navigation and autonomous driving. Existing datasets in this field predominantly rely on single sensors or combinations of LiDAR, cameras, and IMUs. However, 4D millimeter-wave radar demonstrates robustness in adverse weather, infrared cameras excel in capturing details under low-light conditions","authors":["Gong, Weisheng","He, Chen","Su, Kaijie","Li, Qingyong","Wu, Tong","Wang, Z. Jane"],"url":"https://arxiv.org/abs/2404.09622","arxiv_id":"2404.09622","published":"2026-03-26"},{"title":"Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction","abstract":"Superquantiles have recently gained significant interest as a risk-aware metric for addressing fairness and distribution shifts in statistical learning and decision making problems. This paper introduces a fast, scalable and robust second-order computational framework to solve large-scale optimization problems with superquantile-based constraints. Unlike empirical risk minimization, superquantile-based optimization r","authors":["Roth, Jake","Cui, Ying"],"url":"https://arxiv.org/abs/2405.07965","arxiv_id":"2405.07965","published":"2026-03-26"},{"title":"Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets","abstract":"We study Leaky ResNets, which interpolate between ResNets and Fully-Connected nets depending on an 'effective depth' hyper-parameter $\\tilde{L}$. In the infinite depth limit, we study 'representation geodesics' $A_{p}$: continuous paths in representation space (similar to NeuralODEs) from input $p=0$ to output $p=1$ that minimize the parameter norm of the network. We give a Lagrangian and Hamiltonian ","authors":["Jacot, Arthur","Kaiser, Alexandre"],"url":"https://arxiv.org/abs/2405.17573","arxiv_id":"2405.17573","published":"2026-03-26"},{"title":"Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework","abstract":"Coded computing has emerged as a promising framework for tackling significant challenges in large-scale distributed computing, including the presence of slow, faulty, or compromised servers. In this approach, each worker node processes a combination of the data, rather than the raw data itself. The final result then is decoded from the collective outputs of the worker nodes. However, there is a significant gap betwee","authors":["Moradi, Parsa","Tahmasebi, Behrooz","Maddah-Ali, Mohammad Ali"],"url":"https://arxiv.org/abs/2406.00300","arxiv_id":"2406.00300","published":"2026-03-26"},{"title":"Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training","abstract":"Recurrent neural networks (RNNs) are a widely used tool for sequential data analysis; however, they are still often seen as black boxes. Visualizing the internal dynamics of RNNs is a critical step toward understanding their functional principles and developing better architectures and optimization strategies. Prior studies typically emphasize network representations only after training, overlooking how those represe","authors":["Xie, Jiancheng","Voinov, Lou C. Kohler","Mudrik, Noga","Mishne, Gal","Charles, Adam"],"url":"https://arxiv.org/abs/2406.01969","arxiv_id":"2406.01969","published":"2026-03-26"},{"title":"Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation","abstract":"Heterogeneous treatment effect (HTE) estimation from observational data poses significant challenges due to treatment selection bias. Existing methods address this bias by minimizing distribution discrepancies between treatment groups in latent space, focusing on global alignment. However, the fruitful aspect of local proximity, where similar units exhibit similar outcomes, is often overlooked. In this study, we prop","authors":["Wang, Hao","Chen, Zhichao","Liu, Zhaoran","Chen, Xu","Li, Haoxuan","Lin, Zhouchen"],"url":"https://arxiv.org/abs/2407.01111","arxiv_id":"2407.01111","published":"2026-03-26"},{"title":"LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages","abstract":"Translating technical terms into lexically similar, low-resource Indian languages remains a challenge due to limited parallel data and the complexity of linguistic structures. We propose a novel use-case of Sanskrit-based segments for linguistically informed translation of such terms, leveraging subword-level similarity and morphological alignment across related languages. Our approach uses character-level segmentati","authors":["J, Karthika N","Bhatt, Krishnakant","Ramakrishnan, Ganesh","Jyothi, Preethi"],"url":"https://arxiv.org/abs/2407.06331","arxiv_id":"2407.06331","published":"2026-03-26"},{"title":"Set2Seq Transformer: Temporal and Position-Aware Set Representations for Sequential Multiple-Instance Learning","abstract":"In many real-world applications, modeling both the internal structure of sets and their temporal relationships is essential for capturing complex underlying patterns. Sequential multiple-instance learning aims to address this challenge by learning permutation-invariant representations of sets distributed across discrete timesteps. However, existing methods either focus on learning set representations at a static leve","authors":["Efthymiou, Athanasios","Rudinac, Stevan","Kackovic, Monika","Wijnberg, Nachoem","Worring, Marcel"],"url":"https://arxiv.org/abs/2408.03404","arxiv_id":"2408.03404","published":"2026-03-26"},{"title":"An efficient wavelet-based physics-informed neural network for multiscale problems","abstract":"Physics-informed neural networks (PINNs) are a class of deep learning models that utilize physics in the form of differential equations to address complex problems, including those with limited data availability. However, solving differential equations with rapid oscillations, steep gradients, or singular behavior remains challenging for PINNs. To address this, we propose an efficient wavelet-based physics-informed n","authors":["Pandey, Himanshu","Singh, Anshima","Behera, Ratikanta"],"url":"https://arxiv.org/abs/2409.11847","arxiv_id":"2409.11847","published":"2026-03-26"},{"title":"Dynamic Neural Potential Field: Online Trajectory Optimization in the Presence of Moving Obstacles","abstract":"Generalist robot policies must operate safely and reliably in everyday human environments such as homes, offices, and warehouses, where people and objects move unpredictably. We present Dynamic Neural Potential Field (NPField-GPT), a learning-enhanced model predictive control (MPC) framework that couples classical optimization with a Transformer-based predictor of footprint-aware repulsive potentials. Given an occupa","authors":["Staroverov, Aleksei","Alhaddad, Muhammad","Narendra, Aditya","Mironov, Konstantin","Panov, Aleksandr"],"url":"https://arxiv.org/abs/2410.06819","arxiv_id":"2410.06819","published":"2026-03-26"},{"title":"Morph: A Motion-free Physics Optimization Framework for Human Motion Generation","abstract":"Human motion generation has been widely studied due to its crucial role in areas such as digital humans and humanoid robot control. However, many current motion generation approaches disregard physics constraints, frequently resulting in physically implausible motions with pronounced artifacts such as floating and foot sliding. Meanwhile, training an effective motion physics optimizer with noisy motion data remains l","authors":["Li, Zhuo","Luo, Mingshuang","Hou, Ruibing","Zhao, Xin","Liu, Hao","Chang, Hong"],"url":"https://arxiv.org/abs/2411.14951","arxiv_id":"2411.14951","published":"2026-03-26"},{"title":"Phrase-Instance Alignment for Generalized Referring Segmentation","abstract":"Generalized Referring expressions can describe one object, several related objects, or none at all. Existing generalized referring segmentation (GRES) models treat all cases alike, predicting a single binary mask and ignoring how linguistic phrases correspond to distinct visual instances. To this end, we reformulate GRES as an instance-level reasoning problem, where the model first predicts multiple instance-aware ob","authors":["Nguyen, E-Ro","Le, Hieu","Samaras, Dimitris","Ryoo, Michael S."],"url":"https://arxiv.org/abs/2411.15087","arxiv_id":"2411.15087","published":"2026-03-26"},{"title":"Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth","abstract":"Estimating the frequency of items on the high-volume, fast data stream has been extensively studied in many areas, such as database and network measurement. Traditional sketches provide only coarse estimates under strict memory constraints. Although some learning-augmented methods have emerged recently, they typically rely on offline training with real frequencies or/and labels, which are often unavailable. Moreover,","authors":["Yuan, Xinyu","Qiao, Yan","Li, Meng","Wei, Zhenchun","Feng, Cuiying","Wang, Zonghui"],"url":"https://arxiv.org/abs/2412.03611","arxiv_id":"2412.03611","published":"2026-03-26"},{"title":"Promoting Cooperation in the Public Goods Game using Artificial Intelligent Agents","abstract":"The tragedy of the commons illustrates a fundamental social dilemma where individual rational actions lead to collectively undesired outcomes, threatening the sustainability of shared resources. Strategies to escape this dilemma, however, are in short supply. In this study, we explore how artificial intelligence (AI) agents can be leveraged to enhance cooperation in public goods games, moving beyond traditional regul","authors":["Hintze, Arend","Adami, Christoph"],"url":"https://arxiv.org/abs/2412.05450","arxiv_id":"2412.05450","published":"2026-03-26"},{"title":"General Coded Computing in a Probabilistic Straggler Regime","abstract":"Coded computing has demonstrated promising results in addressing straggler resiliency in distributed computing systems. However, most coded computing schemes are designed for exact computation, requiring the number of responding servers to exceed a certain recovery threshold. Additionally, these schemes are tailored for highly structured functions. Recently, new coded computing schemes for general computing functions","authors":["Moradi, Parsa","Maddah-Ali, Mohammad Ali"],"url":"https://arxiv.org/abs/2502.00645","arxiv_id":"2502.00645","published":"2026-03-26"},{"title":"Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning","abstract":"Training reinforcement learning (RL) policies for legged locomotion often requires extensive environment interactions, which are costly and time-consuming. We propose Symmetry-Guided Memory Augmentation (SGMA), a framework that improves training efficiency by combining structured experience augmentation with memory-based context inference. Our method leverages robot and task symmetries to generate additional, physica","authors":["Bao, Kaixi","Li, Chenhao","As, Yarden","Krause, Andreas","Hutter, Marco"],"url":"https://arxiv.org/abs/2502.01521","arxiv_id":"2502.01521","published":"2026-03-26"}],"history":{"events":[{"year":2024,"text":"The Francis Scott Key Bridge collapsed following a collision between the MV Dali container ship and one of the bridge's support pillars, killing 6 people.","url":"https://en.wikipedia.org/wiki/Francis_Scott_Key_Bridge_(Baltimore)"},{"year":2010,"text":"An explosion, allegedly caused by a North Korean torpedo, sank the South Korean warship ROKS Cheonan near Baengnyeongdo in the Yellow Sea, killing 46 sailors.","url":"https://en.wikipedia.org/wiki/Torpedo"},{"year":2009,"text":"A prototype of the Tesla Model S, one of the most influential electric cars in history, was unveiled.","url":"https://en.wikipedia.org/wiki/Tesla_Model_S"},{"year":1999,"text":"A jury began deliberations in the trial of Jack Kevorkian, an American practitioner of physician-assisted suicide who was charged with murder in the death of a terminally ill patient.","url":"https://en.wikipedia.org/wiki/Jack_Kevorkian"},{"year":1997,"text":"Police in Rancho Santa Fe, California, discovered the bodies of 39 members of the religious group Heaven's Gate who had died in an apparent cult suicide.","url":"https://en.wikipedia.org/wiki/Rancho_Santa_Fe%2C_California"},{"year":1991,"text":"Singapore Airlines Flight 117 was hijacked by four Pakistani terrorists and diverted to Changi Airport.","url":"https://en.wikipedia.org/wiki/Singapore_Airlines_Flight_117"},{"year":1975,"text":"The Biological Weapons Convention, the first multilateral disarmament treaty banning the production of an entire category of weapons, entered into force.","url":"https://en.wikipedia.org/wiki/Biological_Weapons_Convention"},{"year":1974,"text":"A group of peasant women in Chamoli district, Uttarakhand, India, surrounded trees in order to prevent loggers from felling them, giving rise to the Chipko movement.","url":"https://en.wikipedia.org/wiki/Chamoli_district"},{"year":1953,"text":"Jonas Salk announced the successful test of his polio vaccine on a small group of adults and children.","url":"https://en.wikipedia.org/wiki/Jonas_Salk"},{"year":1942,"text":"The American tanker Dixie Arrow is torpedoed and sunk off Cape Hatteras, North Carolina, by the German U-boat U-71.","url":"https://en.wikipedia.org/wiki/SS_Dixie_Arrow"},{"year":1939,"text":"Nationalist forces began their final offensive of the Spanish Civil War, at the end of which they controlled almost the entire country.","url":"https://en.wikipedia.org/wiki/Francoist_Spain"},{"year":1917,"text":"First World War: Attempting to advance into Palestine, the British were defeated by Ottoman troops at the First Battle of Gaza.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1913,"text":"First Balkan War: After a five-month siege, Bulgarian and Serbian forces captured the Ottoman city of Adrianople.","url":"https://en.wikipedia.org/wiki/First_Balkan_War"},{"year":1896,"text":"An explosion at the Brunner Mine in New Zealand killed 65 coal miners in the country's deadliest mining accident.","url":"https://en.wikipedia.org/wiki/Brunner_Mine_disaster"},{"year":1885,"text":"Perceiving that the Canadian government was failing to protect their rights, the Métis people led by Louis Riel began the North-West Rebellion.","url":"https://en.wikipedia.org/wiki/M%C3%A9tis"},{"year":1873,"text":"A Dutch military expedition was launched to bombard Banda Aceh, the capital of the Aceh Sultanate in present-day Indonesia, beginning the Aceh War.","url":"https://en.wikipedia.org/wiki/First_Aceh_Expedition"},{"year":1812,"text":"The Boston Gazette printed a cartoon coining the term \"gerrymander\", named after Governor Elbridge Gerry (pictured), who approved the legislation that created oddly shaped electoral districts.","url":"https://en.wikipedia.org/wiki/Gerrymandering"},{"year":1697,"text":"The Safavid Empire began a four-year occupation of the Ottoman city of Basra on the Persian Gulf.","url":"https://en.wikipedia.org/wiki/Safavid_dynasty"}],"births":[{"year":2007,"text":"Jesús Fortea, Spanish footballer","url":"https://en.wikipedia.org/wiki/Jes%C3%BAs_Fortea"},{"year":2005,"text":"Ella Anderson, American actress","url":"https://en.wikipedia.org/wiki/Ella_Anderson"},{"year":2004,"text":"Awra Briguela, Filipino actor and comedian","url":"https://en.wikipedia.org/wiki/Awra_Briguela"},{"year":2003,"text":"Bhad Bhabie, American rapper and social media personality","url":"https://en.wikipedia.org/wiki/Bhad_Bhabie"},{"year":2001,"text":"Jameson Williams, American football player","url":"https://en.wikipedia.org/wiki/Jameson_Williams"},{"year":2000,"text":"Gefen Primo, Israeli judoka","url":"https://en.wikipedia.org/wiki/Gefen_Primo"},{"year":2000,"text":"Andrei Svechnikov, Russian ice hockey player","url":"https://en.wikipedia.org/wiki/Andrei_Svechnikov"},{"year":1998,"text":"Satoko Miyahara, Japanese figure skater","url":"https://en.wikipedia.org/wiki/Satoko_Miyahara"}],"deaths":[{"year":2026,"text":"Noelia Castillo, Spanish woman who died after receiving euthanasia (born 2000)","url":"https://en.wikipedia.org/wiki/Noelia_Castillo_euthanasia_case"},{"year":2026,"text":"Mary Rand, English sprinter and long jumper (born 1940)","url":"https://en.wikipedia.org/wiki/Mary_Rand"},{"year":2026,"text":"Epeli Nailatikau, Fijian chief, President of Fiji (born 1941)","url":"https://en.wikipedia.org/wiki/Epeli_Nailatikau"},{"year":2026,"text":"James Tolkan, American actor (born 1931)","url":"https://en.wikipedia.org/wiki/James_Tolkan"},{"year":2024,"text":"Esther Coopersmith, American diplomat, UNESCO goodwill ambassador (born 1930)","url":"https://en.wikipedia.org/wiki/Esther_Coopersmith"},{"year":2023,"text":"María Kodama, Argentine writer and translator (born 1937)","url":"https://en.wikipedia.org/wiki/Mar%C3%ADa_Kodama"},{"year":2023,"text":"Innocent Vareed Thekkethala, Indian actor and politician (born 1948)","url":"https://en.wikipedia.org/wiki/Innocent_(actor)"},{"year":2023,"text":"Jacob Ziv, Israeli electrical engineer, developed the LZ family of compression algorithms (born 1931)","url":"https://en.wikipedia.org/wiki/Jacob_Ziv"}]},"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."}