{"date":"2026-01-21","schema_version":1,"captured_at":"2026-08-25T23:24:37.381Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":17},"attention":[{"title":"Fernando Mendoza","views":879834,"rank":3,"extract":"Fernando Gabriel Mendoza V is an American professional football quarterback for the Las Vegas Raiders of the National Football League (NFL). Mendoza played college football for the California Golden Bears for three seasons before transferring to the Indiana Ho","url":"https://en.wikipedia.org/wiki/Fernando_Mendoza","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/7a/2026-0117_Fernando_Mendoza.jpeg/330px-2026-0117_Fernando_Mendoza.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Nicola Peltz","views":528565,"rank":4,"extract":"Nicola Anne Peltz Beckham is an American actress. She is known for her roles as Katara in the film The Last Airbender (2010), Bradley Martin in the A&E drama series Bates Motel (2013–2015) and Tessa Yeager in the film Transformers: Age of Extinction (2014).","url":"https://en.wikipedia.org/wiki/Nicola_Peltz","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/73/Nicola-Peltz-3.jpg/330px-Nicola-Peltz-3.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Curt Cignetti","views":516567,"rank":5,"extract":"Curtis John Cignetti is an American college football coach who is the head football coach at Indiana University Bloomington. 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explicitly bans AI \"buy for me\" agents in user agreement update","points":340,"comments":352,"url":"https://www.valueaddedresource.net/ebay-bans-ai-agents-updates-arbitration-user-agreement-feb-2026/","discussion":"https://news.ycombinator.com/item?id=46711574"},{"title":"Scientists find a way to regrow cartilage in mice and human tissue samples","points":309,"comments":96,"url":"https://www.sciencedaily.com/releases/2026/01/260120000333.htm","discussion":"https://news.ycombinator.com/item?id=46709179"},{"title":"How AI destroys institutions","points":305,"comments":281,"url":"https://cyberlaw.stanford.edu/publications/how-ai-destroys-institutions/","discussion":"https://news.ycombinator.com/item?id=46705606"},{"title":"SETI@home is in hiberation","points":276,"comments":136,"url":"https://setiathome.berkeley.edu/","discussion":"https://news.ycombinator.com/item?id=46703301"},{"title":"Can you slim macOS down?","points":263,"comments":345,"url":"https://eclecticlight.co/2026/01/21/can-you-slim-macos-down/","discussion":"https://news.ycombinator.com/item?id=46702411"},{"title":"Nested code fences in Markdown","points":262,"comments":80,"url":"https://susam.net/nested-code-fences.html","discussion":"https://news.ycombinator.com/item?id=46705201"},{"title":"RSS.Social – the latest and best from small sites across the web","points":261,"comments":56,"url":"https://rss.social/","discussion":"https://news.ycombinator.com/item?id=46700503"},{"title":"Stories removed from the Hacker News Front Page, updated in real time (2024)","points":256,"comments":183,"url":"https://github.com/vitoplantamura/HackerNewsRemovals","discussion":"https://news.ycombinator.com/item?id=46704555"},{"title":"A Lament for Aperture","points":243,"comments":55,"url":"https://ikennd.ac/blog/2026/01/old-man-yells-at-modern-software-design/","discussion":"https://news.ycombinator.com/item?id=46699697"},{"title":"JPEG XL Test Page","points":242,"comments":159,"url":"https://tildeweb.nl/~michiel/jxl/","discussion":"https://news.ycombinator.com/item?id=46708032"},{"title":"The percentage of Show HN posts is increasing, but their scores are decreasing","points":237,"comments":160,"url":"https://snubi.net/posts/Show-HN/","discussion":"https://news.ycombinator.com/item?id=46702099"},{"title":"Ireland wants to give its cops spyware, ability to crack encrypted messages","points":231,"comments":105,"url":"https://www.theregister.com/2026/01/21/ireland_wants_to_give_police/","discussion":"https://news.ycombinator.com/item?id=46705715"},{"title":"The Agentic AI Handbook: Production-Ready Patterns","points":210,"comments":145,"url":"https://www.nibzard.com/agentic-handbook","discussion":"https://news.ycombinator.com/item?id=46701969"}],"research":[{"title":"Local Minima Structures in Gaussian Mixture Models","abstract":"We investigate the landscape of the negative log-likelihood function of Gaussian Mixture Models (GMMs) with a general number of components in the population limit. As the objective function is non-convex, there can be multiple local minima that are not globally optimal, even for well-separated mixture models. Our study reveals that all local minima share a common structure that partially identifies the cluster center","authors":["Chen, Yudong","Song, Dogyoon","Xi, Xumei","Zhang, Yuqian"],"url":"https://arxiv.org/abs/2009.13040","arxiv_id":"2009.13040","published":"2026-01-21"},{"title":"Generalization Bounds for Sparse Random Feature Expansions","abstract":"Random feature methods have been successful in various machine learning tasks, are easy to compute, and come with theoretical accuracy bounds. They serve as an alternative approach to standard neural networks since they can represent similar function spaces without a costly training phase. However, for accuracy, random feature methods require more measurements than trainable parameters, limiting their use for data-sc","authors":["Hashemi, Abolfazl","Schaeffer, Hayden","Shi, Robert","Topcu, Ufuk","Tran, Giang","Ward, Rachel"],"url":"https://arxiv.org/abs/2103.03191","arxiv_id":"2103.03191","published":"2026-01-21"},{"title":"A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms","abstract":"Parallel evolutionary algorithms (PEAs) have been studied for reducing the execution time of evolutionary algorithms by utilizing parallel computing. An asynchronous PEA (APEA) is a scheme of PEAs that increases computational efficiency by generating a new solution immediately after a solution evaluation completes without the idling time of computing nodes. However, because APEA gives more search opportunities to sol","authors":["Harada, Tomohiro"],"url":"https://arxiv.org/abs/2107.12053","arxiv_id":"2107.12053","published":"2026-01-21"},{"title":"Acoustics-specific Piano Velocity Estimation","abstract":"Motivated by the state-of-art psychological research, we note that a piano performance transcribed with existing Automatic Music Transcription (AMT) methods cannot be successfully resynthesized without affecting the artistic content of the performance. This is due to 1) the different mappings between MIDI parameters used by different instruments, and 2) the fact that musicians adapt their way of playing to the surrou","authors":["Simonetta, Federico","Ntalampiras, Stavros","Avanzini, Federico"],"url":"https://arxiv.org/abs/2203.16294","arxiv_id":"2203.16294","published":"2026-01-21"},{"title":"Deep Feature Learning for Medical Acoustics","abstract":"The purpose of this paper is to compare different learnable frontends in medical acoustics tasks. A framework has been implemented to classify human respiratory sounds and heartbeats in two categories, i.e. healthy or affected by pathologies. After obtaining two suitable datasets, we proceeded to classify the sounds using two learnable state-of-art frontends -- LEAF and nnAudio -- plus a non-learnable baseline fronte","authors":["Poirè, Alessandro Maria","Simonetta, Federico","Ntalampiras, Stavros"],"url":"https://arxiv.org/abs/2208.03084","arxiv_id":"2208.03084","published":"2026-01-21"},{"title":"Functional dimension of feedforward ReLU neural networks","abstract":"It is well-known that the parameterized family of functions representable by fully-connected feedforward neural networks with ReLU activation function is precisely the class of piecewise linear functions with finitely many pieces. It is less well-known that for every fixed architecture of ReLU neural network, the parameter space admits positive-dimensional spaces of symmetries, and hence the local functional dimensio","authors":["Grigsby, J. Elisenda","Lindsey, Kathryn","Meyerhoff, Robert","Wu, Chenxi"],"url":"https://arxiv.org/abs/2209.04036","arxiv_id":"2209.04036","published":"2026-01-21"},{"title":"Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes","abstract":"We consider Linear Stochastic Approximation (LSA) with a constant stepsize and Markovian data. Viewing the joint process of the data and LSA iterate as a time-homogeneous Markov chain, we prove its convergence to a unique limiting and stationary distribution in Wasserstein distance and establish non-asymptotic, geometric convergence rates. Furthermore, we show that the bias vector of this limit admits an infinite ser","authors":["Huo, Dongyan","Chen, Yudong","Xie, Qiaomin"],"url":"https://arxiv.org/abs/2210.00953","arxiv_id":"2210.00953","published":"2026-01-21"},{"title":"Adapting Node-Place Model to Predict and Monitor COVID-19 Footprints and Transmission Risks","abstract":"The node-place model has been widely used to classify and evaluate transit stations, which sheds light on individual travel behaviors and supports urban planning through effectively integrating land use and transportation development. This article adapts this model to investigate whether and how node, place, and mobility would be associated with the transmission risks and presences of the local COVID-19 cases in a ci","authors":["Zhou, Jiali","Zhou, Mingzhi","Zhou, Jiangping","Zhao, Zhan"],"url":"https://arxiv.org/abs/2301.00117","arxiv_id":"2301.00117","published":"2026-01-21"},{"title":"On the Global Convergence of Risk-Averse Natural Policy Gradient Methods with Expected Conditional Risk Measures","abstract":"Risk-sensitive reinforcement learning (RL) has become a popular tool for controlling the risk of uncertain outcomes and ensuring reliable performance in highly stochastic sequential decision-making problems. While it has been shown that policy gradient methods can find globally optimal policies in the risk-neutral setting, it remains unclear if the risk-averse variants enjoy the same global convergence guarantees. In","authors":["Yu, Xian","Ying, Lei"],"url":"https://arxiv.org/abs/2301.10932","arxiv_id":"2301.10932","published":"2026-01-21"},{"title":"MMT: A Multilingual and Multi-Topic Indian Social Media Dataset","abstract":"Social media plays a significant role in cross-cultural communication. A vast amount of this occurs in code-mixed and multilingual form, posing a significant challenge to Natural Language Processing (NLP) tools for processing such information, like language identification, topic modeling, and named-entity recognition. To address this, we introduce a large-scale multilingual, and multi-topic dataset (MMT) collected fr","authors":["Dalal, Dwip","Srivastava, Vivek","Singh, Mayank"],"url":"https://arxiv.org/abs/2304.00634","arxiv_id":"2304.00634","published":"2026-01-21"},{"title":"GDP nowcasting with artificial neural networks: How much does long-term memory matter?","abstract":"We apply artificial neural networks (ANNs) to nowcast quarterly GDP growth for the U.S. economy. Using the monthly FRED-MD database, we compare the nowcasting performance of five different ANN architectures: the multilayer perceptron (MLP), the one-dimensional convolutional neural network (1D CNN), the Elman recurrent neural network (RNN), the long short-term memory network (LSTM), and the gated recurrent unit (GRU).","authors":["Németh, Kristóf","Hadházi, Dániel"],"url":"https://arxiv.org/abs/2304.05805","arxiv_id":"2304.05805","published":"2026-01-21"},{"title":"Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges","abstract":"The latest developments in computer hardware, sensor technologies, and artificial intelligence can make virtual reality (VR) and virtual spaces an important part of human everyday life. Eye tracking offers not only a hands-free way of interaction but also the possibility of a deeper understanding of human visual attention and cognitive processes in VR. Despite these possibilities, eye-tracking data also reveals users","authors":["Bozkir, Efe","Özdel, Süleyman","Wang, Mengdi","David-John, Brendan","Gao, Hong","Butler, Kevin"],"url":"https://arxiv.org/abs/2305.14080","arxiv_id":"2305.14080","published":"2026-01-21"},{"title":"A Deep Probabilistic Flow-Based Framework for Unsupervised Cross-Domain Soft Sensing","abstract":"Industrial soft sensing is crucial for accurate process monitoring through reliable inference of dominant sensor variables. However, developing effective data-driven soft sensor models presents challenges, such as achieving domain adaptability, addressing incomplete sensor labels, and learning stochastic data variability. To overcome these challenges, we propose a Deep Variational Potential Flow (DVPF) framework for ","authors":["Loo, Junn Yong","Tew, Hwa Hui","Leong, Fang Yu","Ding, Ze Yang","Baskaran, Vishnu Monn","Ting, Chee-Ming"],"url":"https://arxiv.org/abs/2306.04919","arxiv_id":"2306.04919","published":"2026-01-21"},{"title":"Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images","abstract":"Segmentation networks are not explicitly imposed to learn global invariants of an image, such as the shape of an object and the geometry between multiple objects, when they are trained with a standard loss function. On the other hand, incorporating such invariants into network training may help improve performance for various segmentation tasks when they are the intrinsic characteristics of the objects to be segmente","authors":["Ozcelik, Seher","Unver, Sinan","Gurses, Ilke Ali","Turkay, Rustu","Gunduz-Demir, Cigdem"],"url":"https://arxiv.org/abs/2307.03137","arxiv_id":"2307.03137","published":"2026-01-21"},{"title":"Shape Completion with Prediction of Uncertain Regions","abstract":"Shape completion, i.e., predicting the complete geometry of an object from a partial observation, is highly relevant for several downstream tasks, most notably robotic manipulation. When basing planning or prediction of real grasps on object shape reconstruction, an indication of severe geometric uncertainty is indispensable. In particular, there can be an irreducible uncertainty in extended regions about the presenc","authors":["Humt, Matthias","Winkelbauer, Dominik","Hillenbrand, Ulrich"],"url":"https://arxiv.org/abs/2308.00377","arxiv_id":"2308.00377","published":"2026-01-21"},{"title":"Compositional Feature Augmentation for Unbiased Scene Graph Generation","abstract":"Scene Graph Generation (SGG) aims to detect all the visual relation triplets $<$\\texttt{sub}, \\texttt{pred}, \\texttt{obj}$>$ in a given image. With the emergence of various advanced techniques for better utilizing both the intrinsic and extrinsic information in each relation triplet, SGG has achieved great progress over the recent years. However, due to the ubiquitous long-tailed predicate distributions, today&","authors":["Li, Lin","Chen, Guikun","Xiao, Jun","Yang, Yi","Wang, Chunping","Chen, Long"],"url":"https://arxiv.org/abs/2308.06712","arxiv_id":"2308.06712","published":"2026-01-21"},{"title":"Optimal Conditional Inference in Adaptive Experiments","abstract":"We study batched bandit experiments and consider the problem of inference conditional on the realized stopping time, assignment probabilities, and target parameter, where all of these may be chosen adaptively using information up to the last batch of the experiment. Absent further restrictions on the experiment, we show that inference using only the results of the last batch is optimal. When the adaptive aspects of t","authors":["Chen, Jiafeng","Andrews, Isaiah"],"url":"https://arxiv.org/abs/2309.12162","arxiv_id":"2309.12162","published":"2026-01-21"},{"title":"Contextualising Levels of Language Resourcedness that affect NLP tasks","abstract":"Several widely used software applications involve some form of processing of natural language, with tasks ranging from digitising hardcopies and text processing to speech generation. Varied language resources are used to develop software systems to accomplish a wide range of natural language processing (NLP) tasks, such as the ubiquitous spellcheckers and chatbots. Languages are typically characterised as either low ","authors":["Keet, C. Maria","Khumalo, Langa"],"url":"https://arxiv.org/abs/2309.17035","arxiv_id":"2309.17035","published":"2026-01-21"},{"title":"Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand","abstract":"Grasping objects with limited or no prior knowledge about them is a highly relevant skill in assistive robotics. Still, in this general setting, it has remained an open problem, especially when it comes to only partial observability and versatile grasping with multi-fingered hands. We present a novel, fast, and high fidelity deep learning pipeline consisting of a shape completion module that is based on a single dept","authors":["Humt, Matthias","Winkelbauer, Dominik","Hillenbrand, Ulrich","Bäuml, Berthold"],"url":"https://arxiv.org/abs/2310.20350","arxiv_id":"2310.20350","published":"2026-01-21"},{"title":"Shadow loss: Memory-linear deep metric learning for efficient training","abstract":"Deep metric learning objectives (e.g., triplet loss) require storing and comparing high-dimensional embeddings, making the per-batch loss buffer scale as $O(S\\cdot D)$, where $S$ is the number of samples in a batch and $D$ is the feature dimension, thus limiting training on memory-constrained hardware. We propose Shadow Loss, a proxy-free, parameter-free objective that measures similarity via scalar projections onto ","authors":["Khan, Alif Elham","Hasan, Mohammad Junayed","Anjum, Humayra","Mohammed, Nabeel"],"url":"https://arxiv.org/abs/2311.14012","arxiv_id":"2311.14012","published":"2026-01-21"},{"title":"Learning to Simulate: Generative Metamodeling via Quantile Regression","abstract":"Stochastic simulation models effectively capture complex system dynamics but are often too slow for real-time decision-making. Traditional metamodeling techniques learn relationships between simulator inputs and a single output summary statistic, such as the mean or median. These techniques enable real-time predictions without additional simulations. However, they require prior selection of one appropriate output sum","authors":["Hong, L. Jeff","Hou, Yanxi","Zhang, Qingkai","Zhang, Xiaowei"],"url":"https://arxiv.org/abs/2311.17797","arxiv_id":"2311.17797","published":"2026-01-21"},{"title":"VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning","abstract":"Assisted and autonomous driving are rapidly gaining momentum and will soon become a reality. Artificial intelligence and machine learning are regarded as key enablers thanks to the massive amount of data that smart vehicles will collect from onboard sensors. Federated learning is one of the most promising techniques for training global machine learning models while preserving data privacy of vehicles and optimizing c","authors":["Ballotta, Luca","Fabbro, Nicolò Dal","Perin, Giovanni","Schenato, Luca","Rossi, Michele","Piro, Giuseppe"],"url":"https://arxiv.org/abs/2311.18741","arxiv_id":"2311.18741","published":"2026-01-21"},{"title":"GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs","abstract":"Despite the rapid progress of large language models (LLMs), knowledge graph-based question answering (KGQA) remains essential for producing verifiable and hallucination-resistant answers in many real-world settings where answer trustworthiness and computational efficiency are highly valued. However, most existing KGQA methods provide only final answers in the form of KG entities. Without explicit explanations -- idea","authors":["Wang, Ruijie","Rossetto, Luca","Cochez, Michael","Bernstein, Abraham"],"url":"https://arxiv.org/abs/2312.02317","arxiv_id":"2312.02317","published":"2026-01-21"},{"title":"ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records through ICD Path Generation","abstract":"The target of Electronic Health Record (EHR) coding is to find the diagnostic codes according to the EHRs. In previous research, researchers have preferred to do multi-classification on the EHR coding task; most of them encode the EHR first and then process it to get the probability of each code based on the EHR representation. However, the question of complicating diseases is neglected among all these methods. In th","authors":["Zhou, Xiaofan"],"url":"https://arxiv.org/abs/2312.10259","arxiv_id":"2312.10259","published":"2026-01-21"},{"title":"Hidden Minima in Two-Layer ReLU Networks","abstract":"We consider the optimization problem associated with training two-layer ReLU networks with \\(d\\) inputs under the squared loss, where the labels are generated by a target network. Recent work has identified two distinct classes of infinite families of minima: one whose training loss vanishes in the high-dimensional limit, and another whose loss remains bounded away from zero. The latter family is empirically avoided ","authors":["Arjevani, Yossi"],"url":"https://arxiv.org/abs/2312.16819","arxiv_id":"2312.16819","published":"2026-01-21"}],"history":{"events":[{"year":2025,"text":"A fire at a hotel at the Kartalkaya ski resort in Turkey's Bolu Province results in 78 people killed.","url":"https://en.wikipedia.org/wiki/2025_Kartalkaya_hotel_fire"},{"year":2023,"text":"A shooting at a dance studio in Monterey Park, California, left 11 people dead and injured nine others.","url":"https://en.wikipedia.org/wiki/2023_Monterey_Park_shooting"},{"year":2017,"text":"Millions of people participated in the Women's March in Washington, D.C., and around the world to advocate for legislation and policies on human rights and other issues.","url":"https://en.wikipedia.org/wiki/2017_Women's_March"},{"year":2011,"text":"Demonstrations against alleged corruption in the Albanian government led to the killings of four protesters in Tirana by the Republican Guard.","url":"https://en.wikipedia.org/wiki/2011_Albanian_opposition_demonstrations"},{"year":1997,"text":"The U.S. House of Representatives voted 395–28 to reprimand Newt Gingrich for ethics violations, making him the first Speaker of the House to be so disciplined.","url":"https://en.wikipedia.org/wiki/United_States_House_of_Representatives"},{"year":1981,"text":"The DeLorean Motor Company completed the first production car of the DMC DeLorean at its factory in Northern Ireland.","url":"https://en.wikipedia.org/wiki/DeLorean_Motor_Company"},{"year":1976,"text":"Concorde, an Anglo-French supersonic airliner, began scheduled commercial flights to London, Paris, Bahrain, and Rio de Janeiro.","url":"https://en.wikipedia.org/wiki/Concorde"},{"year":1972,"text":"Tripura, formerly part of the independent Twipra Kingdom, became a state of India.","url":"https://en.wikipedia.org/wiki/Tripura"},{"year":1968,"text":"A B-52 bomber carrying four nuclear weapons crashed onto sea ice near Thule Air Base, Greenland, causing localized radioactive contamination.","url":"https://en.wikipedia.org/wiki/Boeing_B-52_Stratofortress"},{"year":1968,"text":"Vietnam War: The People's Army of Vietnam attacked Khe Sanh Combat Base, a U.S. Marines outpost in Quảng Trị province, South Vietnam, starting the Battle of Khe Sanh.","url":"https://en.wikipedia.org/wiki/Vietnam_War"},{"year":1951,"text":"Mount Lamington, a volcano in Papua New Guinea, erupted (pictured) and killed more than 2,900 people.","url":"https://en.wikipedia.org/wiki/Mount_Lamington"},{"year":1931,"text":"Isaac Isaacs (pictured) became the first Australian-born governor-general of Australia.","url":"https://en.wikipedia.org/wiki/Isaac_Isaacs"},{"year":1919,"text":"The First Dáil convened at the Mansion House in Dublin and adopted a declaration of independence calling for the establishment of the Irish Republic.","url":"https://en.wikipedia.org/wiki/First_D%C3%A1il"},{"year":1793,"text":"French Revolution: After being found guilty of high treason by the National Convention, Louis XVI was guillotined in Paris.","url":"https://en.wikipedia.org/wiki/French_Revolution"},{"year":1757,"text":"French and Indian War: French regulars, Canadien militia and Indigenous forces ambushed Rogers' Rangers forces in the Battle on Snowshoes.","url":"https://en.wikipedia.org/wiki/French_and_Indian_War"},{"year":1326,"text":"King Edward II of England issued a royal charter confirming Adam de Brome's foundation of Oriel College, Oxford.","url":"https://en.wikipedia.org/wiki/Edward_II"},{"year":763,"text":"The Abbasid Caliphate crushed the Alid revolt when a rebel leader was mortally wounded in battle near Basra in present-day Iraq.","url":"https://en.wikipedia.org/wiki/Abbasid_Caliphate"}],"births":[{"year":2007,"text":"Luke Littler, English darts player","url":"https://en.wikipedia.org/wiki/Luke_Littler"},{"year":2005,"text":"IShowSpeed, American YouTuber and online streamer","url":"https://en.wikipedia.org/wiki/IShowSpeed"},{"year":2004,"text":"Princess Ingrid Alexandra of Norway","url":"https://en.wikipedia.org/wiki/Princess_Ingrid_Alexandra_of_Norway"},{"year":2003,"text":"Hannibal Mejbri, Tunisian footballer","url":"https://en.wikipedia.org/wiki/Hannibal_Mejbri"},{"year":2002,"text":"Moussa Diabaté, French basketball player","url":"https://en.wikipedia.org/wiki/Moussa_Diabat%C3%A9"},{"year":2001,"text":"Baek Jong-bum, South Korean footballer","url":"https://en.wikipedia.org/wiki/Baek_Jong-bum"},{"year":1999,"text":"Rubina Ali, Indian actress","url":"https://en.wikipedia.org/wiki/Rubina_Ali"},{"year":1999,"text":"Fūju Kamio, Japanese actor","url":"https://en.wikipedia.org/wiki/F%C5%ABju_Kamio"}],"deaths":[{"year":2026,"text":"Virginia Oliver (born 1920), American lobster fisherwoman","url":"https://en.wikipedia.org/wiki/Virginia_Oliver"},{"year":2025,"text":"Mauricio Funes, Salvadoran politician, 79th President of El Salvador (born 1959)","url":"https://en.wikipedia.org/wiki/Mauricio_Funes"},{"year":2025,"text":"Garth Hudson, Canadian keyboard player, songwriter, and producer (born 1937)","url":"https://en.wikipedia.org/wiki/Garth_Hudson"},{"year":2022,"text":"Louie Anderson, American actor and comedian (born 1953)","url":"https://en.wikipedia.org/wiki/Louie_Anderson"},{"year":2022,"text":"Leonor Oyarzún, Chilean socialite, First Lady of Chile (born 1919)","url":"https://en.wikipedia.org/wiki/Leonor_Oyarz%C3%BAn"},{"year":2020,"text":"Terry Jones, Welsh actor, director, and screenwriter (born 1942)","url":"https://en.wikipedia.org/wiki/Terry_Jones"},{"year":2020,"text":"Morgan Wootten, American high school basketball coach (born 1931)","url":"https://en.wikipedia.org/wiki/Morgan_Wootten"},{"year":2019,"text":"Kaye Ballard, American actress (born 1925)","url":"https://en.wikipedia.org/wiki/Kaye_Ballard"}]},"census":null,"sources":[{"id":"attention","name":"Wikipedia 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Every item links to its source."}