{"date":"2026-04-03","schema_version":1,"captured_at":"2026-08-25T23:35:03.057Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Artemis II","views":797863,"rank":3,"extract":"Artemis II was a crewed flyby of the Moon. It is currently the only crewed flight beyond low Earth orbit since Apollo 17 in 1972. 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A member of the Republican Party, she served as the 37th attorney general of Florida from 2011 to 2019.","url":"https://en.wikipedia.org/wiki/Pam_Bondi","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/e/e0/Pam_Bondi_official_portrait_%28cropped%29%282%29.jpg/330px-Pam_Bondi_official_portrait_%28cropped%29%282%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Dhurandhar: The Revenge","views":292760,"rank":6,"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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For unknown reasons, the town's name was spelled as Neetsvil","url":"https://en.wikipedia.org/wiki/Neatsville%2C_Kentucky","thumb":null},{"title":"Orion (spacecraft)","views":89099,"rank":30,"extract":"The Orion Multi-Purpose Crew Vehicle (MPCV) is a partially reusable crewed spacecraft used by NASA for the Artemis lunar exploration program. It consists of a crew module (CM), a space capsule built by Lockheed Martin, and is paired with a European Service Mod","url":"https://en.wikipedia.org/wiki/Orion_(spacecraft)","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/5/52/Orion_Snaps_a_Selfie_During_External_Inspection_%28vertical%29.jpg/330px-Orion_Snaps_a_Selfie_During_External_Inspection_%28vertical%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Malachi Barton","views":88176,"rank":31,"extract":"Malachi Daniel Barton is an American actor. 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LAP2 is an inner nuclear membrane (INM) protein.","url":"https://en.wikipedia.org/wiki/Thymopoietin","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/c/c5/Protein_TMPO_PDB_1gjj.png/330px-Protein_TMPO_PDB_1gjj.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Corrosion","views":84232,"rank":33,"extract":"Corrosion is a natural process that converts a refined metal into a more chemically stable oxide. It is the gradual deterioration of materials by chemical or electrochemical reaction with their environment. 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Markdown?","points":233,"comments":309,"url":"https://bgslabs.org/blog/why-are-we-using-markdown/","discussion":"https://news.ycombinator.com/item?id=47629903"},{"title":"Run Linux containers on Android, no root required","points":221,"comments":87,"url":"https://github.com/ExTV/Podroid","discussion":"https://news.ycombinator.com/item?id=47633131"},{"title":"Running out of disk space in production","points":220,"comments":129,"url":"https://alt-romes.github.io/posts/2026-04-01-running-out-of-disk-space-on-launch.html","discussion":"https://news.ycombinator.com/item?id=47627217"},{"title":"Go on Embedded Systems and WebAssembly","points":206,"comments":40,"url":"https://tinygo.org/","discussion":"https://news.ycombinator.com/item?id=47629116"},{"title":"Build your own Dial-up ISP with a Raspberry 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Specifically, based on preliminary observations of linear price impacts made from the NASDAQ ITCH dataset, we initiate the study of risk-aware linear bandits. In this setting, we aim at minimiz","authors":["Ji, Jingwei","Xu, Renyuan","Zhu, Ruihao"],"url":"https://arxiv.org/abs/2208.02389","arxiv_id":"2208.02389","published":"2026-04-03"},{"title":"CompressedScaffnew: The First Theoretical Double Acceleration of Communication from Local Training and Compression in Distributed Optimization","abstract":"In distributed optimization, a large number of machines alternate between local computations and communication with a coordinating server. Communication, which can be slow and costly, is the main bottleneck in this setting. To reduce this burden and therefore accelerate distributed gradient descent, two strategies are popular: 1) communicate less frequently; that is, perform several iterations of local computations b","authors":["Condat, Laurent","Agarský, Ivan","Richtárik, Peter"],"url":"https://arxiv.org/abs/2210.13277","arxiv_id":"2210.13277","published":"2026-04-03"},{"title":"Estimating Head Motion from MR-Images","abstract":"Head motion is an omnipresent confounder of magnetic resonance image (MRI) analyses as it systematically affects morphometric measurements, even when visual quality control is performed. In order to estimate subtle head motion, that remains undetected by experts, we introduce a deep learning method to predict in-scanner head motion directly from T1-weighted (T1w), T2-weighted (T2w) and fluid-attenuated inversion reco","authors":["Pollak, Clemens","Kügler, David","Reuter, Martin"],"url":"https://arxiv.org/abs/2302.14490","arxiv_id":"2302.14490","published":"2026-04-03"},{"title":"Robust Multi-agent Communication via Multi-view Message Certification","abstract":"Many multi-agent scenarios require message sharing among agents to promote coordination, hastening the robustness of multi-agent communication when policies are deployed in a message perturbation environment. Major relevant works tackle this issue under specific assumptions, like a limited number of message channels would sustain perturbations, limiting the efficiency in complex scenarios. In this paper, we take a fu","authors":["Yuan, Lei","Jiang, Tao","Li, Lihe","Chen, Feng","Zhang, Zongzhang","Yu, Yang"],"url":"https://arxiv.org/abs/2305.13936","arxiv_id":"2305.13936","published":"2026-04-03"},{"title":"Transformers Can Solve Non-Linear and Non-Markovian Filtering Problems in Continuous Time For Conditionally Gaussian Signals","abstract":"The use of attention-based deep learning models in stochastic filtering, e.g. transformers and deep Kalman filters, has recently come into focus; however, the potential for these models to solve stochastic filtering problems remains largely unknown. The paper provides an affirmative answer to this open problem in the theoretical foundations of machine learning by showing that a class of continuous-time transformer mo","authors":["Horvath, Blanka","Kratsios, Anastasis","Limmer, Yannick","Yang, Xuwei"],"url":"https://arxiv.org/abs/2310.19603","arxiv_id":"2310.19603","published":"2026-04-03"},{"title":"Information theory for dimensionality reduction in dynamical systems","abstract":"The dynamics of many-body systems can often be captured in terms of only a few relevant variables. Mathematical and numerical approaches exist to identify these variables by exploiting a separation of time scales between slow relevant and fast irrelevant variables, but such a separation of scales is not always obvious or even available. In this work, we introduce an information-theoretic framework for dimensionality ","authors":["Schmitt, Matthew S.","Koch-Janusz, Maciej","Fruchart, Michel","Seara, Daniel S.","Rust, Michael","Vitelli, Vincenzo"],"url":"https://arxiv.org/abs/2312.06608","arxiv_id":"2312.06608","published":"2026-04-03"},{"title":"Tackling Non-IIDness in HAPS-Aided Federated Learning","abstract":"High-altitude platform stations (HAPS) enable large-scale federated learning (FL) in non-terrestrial networks (NTN) by providing wide-area coverage and predominantly line-of-sight (LoS) connectivity to many ground users. However, practical deployments face heterogeneous and non-independently and identically distributed (non-IID) client data, which degrades accuracy and slows convergence. We propose a weighted attribu","authors":["Farajzadeh, Amin","Yadav, Animesh","Yanikomeroglu, Halim"],"url":"https://arxiv.org/abs/2401.05308","arxiv_id":"2401.05308","published":"2026-04-03"},{"title":"Cross-Scale MAE: A Tale of Multi-Scale Exploitation in Remote Sensing","abstract":"Remote sensing images present unique challenges to image analysis due to the extensive geographic coverage, hardware limitations, and misaligned multi-scale images. This paper revisits the classical multi-scale representation learning problem but under the general framework of self-supervised learning for remote sensing image understanding. We present Cross-Scale MAE, a self-supervised model built upon the Masked Aut","authors":["Tang, Maofeng","Cozma, Andrei","Georgiou, Konstantinos","Qi, Hairong"],"url":"https://arxiv.org/abs/2401.15855","arxiv_id":"2401.15855","published":"2026-04-03"},{"title":"Towards Transparent and Efficient Anomaly Detection in Industrial Processes through ExIFFI","abstract":"Anomaly Detection (AD) is crucial in industrial settings to streamline operations by detecting underlying issues. Conventional methods merely label observations as normal or anomalous, lacking crucial insights. In Industry 5.0, interpretable outcomes become desirable to enable users to understand the rational under model decisions. This paper presents the first industrial application of ExIFFI, a recent approach for ","authors":["Frizzo, Davide","Borsatti, Francesco","Arcudi, Alessio","De Moliner, Antonio","Oboe, Roberto","Susto, Gian Antonio"],"url":"https://arxiv.org/abs/2405.01158","arxiv_id":"2405.01158","published":"2026-04-03"},{"title":"Analyzing Language Bias Between French and English in Conventional Multilingual Sentiment Analysis Models","abstract":"Inspired by the 'Bias Considerations in Bilingual Natural Language Processing' report by Statistics Canada, this study delves into potential biases in multilingual sentiment analysis between English and French. Given a 50-50 dataset of French and English, we aim to determine if there exists a language bias and explore how the incorporation of more diverse datasets in the future might affect the equity of mult","authors":["Wong, Ethan Parker","M'hiri, Faten"],"url":"https://arxiv.org/abs/2405.06692","arxiv_id":"2405.06692","published":"2026-04-03"},{"title":"A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability","abstract":"Graph pooling has gained attention for its ability to obtain effective node and graph representations for various downstream tasks. Despite the recent surge in graph pooling approaches, there is a lack of standardized experimental settings and fair benchmarks to evaluate their performance. To address this issue, we have constructed a comprehensive benchmark that includes 17 graph pooling methods and 28 different grap","authors":["Wang, Pengyun","Luo, Junyu","Shen, Yanxin","Zhang, Ming","Qin, Shaoen","Xing, Hanwen"],"url":"https://arxiv.org/abs/2406.09031","arxiv_id":"2406.09031","published":"2026-04-03"},{"title":"J-CHAT: Japanese Large-scale Spoken Dialogue Corpus for Spoken Dialogue Language Modeling","abstract":"Spoken dialogue is essential for human-AI interactions, providing expressive capabilities beyond text. Developing effective spoken dialogue systems (SDSs) requires large-scale, high-quality, and diverse spoken dialogue corpora. However, existing datasets are often limited in size, spontaneity, or linguistic coherence. To address these limitations, we introduce J-CHAT, a 76,000-hour open-source Japanese spoken dialogu","authors":["Nakata, Wataru","Seki, Kentaro","Yanaka, Hitomi","Saito, Yuki","Takamichi, Shinnosuke","Saruwatari, Hiroshi"],"url":"https://arxiv.org/abs/2407.15828","arxiv_id":"2407.15828","published":"2026-04-03"},{"title":"Interpretable Classification via a Rule Network with Selective Logical Operators","abstract":"We introduce the Rule Network with Selective Logical Operators (RNS), a novel neural architecture that employs \\textbf{selective logical operators} to adaptively choose between AND and OR operations at each neuron during training. Unlike existing approaches that rely on fixed architectural designs with predetermined logical operations, our selective logical operators treat weight parameters as hard selectors, enablin","authors":["Wei, Bowen","Zhu, Ziwei"],"url":"https://arxiv.org/abs/2408.11918","arxiv_id":"2408.11918","published":"2026-04-03"},{"title":"Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference","abstract":"Autonomous driving systems require a comprehensive understanding of the environment, achieved by extracting visual features essential for perception, planning, and control. However, models trained solely on single-task objectives or generic datasets often lack the contextual information needed for robust performance in complex driving scenarios. In this work, we propose a unified encoder trained on multiple computer ","authors":["Nguyen, Huy-Dung","Bairouk, Anass","Maras, Mirjana","Xiao, Wei","Wang, Tsun-Hsuan","Chareyre, Patrick"],"url":"https://arxiv.org/abs/2409.10095","arxiv_id":"2409.10095","published":"2026-04-03"},{"title":"In-context Learning in Presence of Spurious Correlations","abstract":"Large language models exhibit a remarkable capacity for in-context learning, where they learn to solve tasks given a few examples. Recent work has shown that transformers can be trained to perform simple regression tasks in-context. This work explores the possibility of training an in-context learner for classification tasks involving spurious features. We find that the conventional approach of training in-context le","authors":["Harutyunyan, Hrayr","Darbinyan, Rafayel","Karapetyan, Samvel","Khachatrian, Hrant"],"url":"https://arxiv.org/abs/2410.03140","arxiv_id":"2410.03140","published":"2026-04-03"},{"title":"ExpertFlow: Efficient Mixture-of-Experts Inference via Predictive Expert Caching and Token Scheduling","abstract":"Sparse Mixture-of-Experts (MoE) models can outperform dense large language models at similar computation by activating only a small set of experts per token. However, stacking many expert modules introduces substantial parameter memory, which makes MoE models difficult to deploy in memory-constrained environments such as single-GPU devices. Offloading alleviates this issue by storing inactive experts in CPU memory an","authors":["He, Xin","Zhang, Shunkang","Tang, Kaijie","Shi, Shaohuai","Wang, Yuxin","Zeng, Zihao"],"url":"https://arxiv.org/abs/2410.17954","arxiv_id":"2410.17954","published":"2026-04-03"},{"title":"Detecting Reference Errors in Scientific Literature with Large Language Models","abstract":"Reference errors, such as citation and quotation errors, are common in scientific papers. Such errors can result in the propagation of inaccurate information, but are difficult and time-consuming to detect, posing a significant challenge to scientific publishing. To support automatic detection of reference errors, this work evaluated the ability of large language models in OpenAI's GPT family to detect quotation ","authors":["Zhang, Tianmai M.","Abernethy, Neil F."],"url":"https://arxiv.org/abs/2411.06101","arxiv_id":"2411.06101","published":"2026-04-03"},{"title":"Robot Collapse: Supply Chain Backdoor Attacks Against VLM-based Robotic Manipulation","abstract":"Robotic manipulation policies are increasingly empowered by \\textit{large language models} (LLMs) and \\textit{vision-language models} (VLMs), leveraging their understanding and perception capabilities. Recently, inference-time attacks against robotic manipulation have been extensively studied, yet backdoor attacks targeting model supply chain security in robotic policies remain largely unexplored. To fill this gap, w","authors":["Wang, Xianlong","Pan, Hewen","Zhang, Hangtao","Li, Minghui","Hu, Shengshan","Zhou, Ziqi"],"url":"https://arxiv.org/abs/2411.11683","arxiv_id":"2411.11683","published":"2026-04-03"},{"title":"Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes","abstract":"Deep-space habitats (DSHs) are safety-critical systems that must operate autonomously for long periods, often beyond the reach of ground-based maintenance or expert intervention. Monitoring system health and anticipating failures are therefore essential. Prognostics based on remaining useful life (RUL) prediction support this goal by estimating how long a subsystem can operate before failure. Critical DSH subsystems,","authors":["Peters, Benjamin","Mohanty, Ayush","Fang, Xiaolei","Robinson, Stephen K.","Gebraeel, Nagi"],"url":"https://arxiv.org/abs/2411.12159","arxiv_id":"2411.12159","published":"2026-04-03"},{"title":"InTraGen: Trajectory-controlled Video Generation for Object Interactions","abstract":"Advances in video generation have significantly improved the realism and quality of created scenes. This has fueled interest in developing intuitive tools that let users leverage video generation as world simulators. Text-to-video (T2V) generation is one such approach, enabling video creation from text descriptions only. Yet, due to the inherent ambiguity in texts and the limited temporal information offered by text ","authors":["Liu, Zuhao","Yanev, Aleksandar","Mahmood, Ahmad","Nikolov, Ivan","Motamed, Saman","Zheng, Wei-Shi"],"url":"https://arxiv.org/abs/2411.16804","arxiv_id":"2411.16804","published":"2026-04-03"},{"title":"Learning to Translate Noise for Robust Image Denoising","abstract":"Deep learning-based image denoising techniques often struggle with poor generalization performance to out-of-distribution real-world noise. To tackle this challenge, we propose a novel noise translation framework that performs denoising on an image with translated noise rather than directly denoising an original noisy image. Specifically, our approach translates complex, unknown real-world noise into Gaussian noise, ","authors":["Ha, Inju","Ryou, Donghun","Seo, Seonguk","Han, Bohyung"],"url":"https://arxiv.org/abs/2412.04727","arxiv_id":"2412.04727","published":"2026-04-03"},{"title":"Modeling Multi-Objective Tradeoffs with Monotonic Utility Functions","abstract":"Countless science and engineering applications in multi-objective optimization (MOO) necessitate that decision-makers (DMs) select a Pareto-optimal (PO) solution which aligns with their preferences. Evaluating individual solutions is often expensive, and the high-dimensional trade-off space makes exhaustive exploration of the full Pareto frontier (PF) infeasible. We introduce a novel, principled two-step process for ","authors":["Chen, Edward","Dullerud, Natalie","Niedermayr, Thomas","Kidd, Elizabeth","Senanayake, Ransalu","Koh, Pang Wei"],"url":"https://arxiv.org/abs/2412.06154","arxiv_id":"2412.06154","published":"2026-04-03"},{"title":"Automatic selection of the best neural architecture for time series forecasting","abstract":"Time series forecasting plays a pivotal role in a wide range of applications, including weather prediction, healthcare, structural health monitoring, predictive maintenance, energy systems, and financial markets. While models such as LSTM, GRU, Transformers, and State-Space Models (SSMs) have become standard tools in this domain, selecting the optimal architecture remains a challenge. Performance comparisons often de","authors":["Cao, Qianying","Liu, Shanqing","Varghese, Alan John","Darbon, Jerome","Triantafyllou, Michael","Karniadakis, George Em"],"url":"https://arxiv.org/abs/2501.12215","arxiv_id":"2501.12215","published":"2026-04-03"},{"title":"Fragility-aware Classification for Understanding Risk and Improving Generalization","abstract":"Classification models play a central role in data-driven decision-making applications such as medical diagnosis, recommendation systems, and risk assessment. Traditional performance metrics, such as accuracy and AUC, focus on overall error rates but fail to account for the confidence of incorrect predictions, i.e., the risk of confident misjudgments. This limitation is particularly consequential in safety-critical an","authors":["Yang, Chen","Cui, Zheng","Long, Daniel Zhuoyu","Qi, Jin","Zhan, Ruohan"],"url":"https://arxiv.org/abs/2502.13024","arxiv_id":"2502.13024","published":"2026-04-03"},{"title":"Human Misperception of Generative-AI Alignment: A Laboratory Experiment","abstract":"We conduct an incentivized laboratory experiment to study people's perception of generative artificial intelligence (GenAI) alignment in the context of economic decision-making. Using a panel of economic problems spanning the domains of risk, time preference, social preference, and strategic interactions, we ask human subjects to make choices for themselves and to predict the choices made by GenAI on behalf of a ","authors":["He, Kevin","Shorrer, Ran","Xia, Mengjia"],"url":"https://arxiv.org/abs/2502.14708","arxiv_id":"2502.14708","published":"2026-04-03"}],"history":{"events":[{"year":2018,"text":"A woman opened fire at YouTube headquarters in San Bruno, California, injuring three people before killing herself.","url":"https://en.wikipedia.org/wiki/2018_YouTube_headquarters_shooting"},{"year":2013,"text":"The northeastern section of Buenos Aires Province, Argentina, experienced several flash floods that killed at least 100 people.","url":"https://en.wikipedia.org/wiki/Buenos_Aires_Province"},{"year":2010,"text":"Apple Inc. released the first generation iPad, a tablet computer.","url":"https://en.wikipedia.org/wiki/Apple_Inc."},{"year":2009,"text":"A gunman opened fire at the American Civic Association in Binghamton, New York, U.S., killing thirteen and wounding four before committing suicide.","url":"https://en.wikipedia.org/wiki/2009_Binghamton_shooting"},{"year":2008,"text":"Texas law enforcement authorities raided the Fundamentalist Church of Jesus Christ of Latter-Day Saints' YFZ Ranch, eventually removing 533 women and children from the premises.","url":"https://en.wikipedia.org/wiki/Fundamentalist_Church_of_Jesus_Christ_of_Latter-Day_Saints"},{"year":2000,"text":"In United States v. Microsoft Corp., Microsoft was found to have violated antitrust law by bundling the web browser Internet Explorer with its Windows operating system.","url":"https://en.wikipedia.org/wiki/United_States_v._Microsoft_Corp."},{"year":1996,"text":"A U.S. Air Force CT-43 crashed into a mountainside while attempting an instrument approach to Dubrovnik Airport in Croatia, killing all 35 people on board, including Secretary of Commerce Ron Brown.","url":"https://en.wikipedia.org/wiki/Boeing_T-43"},{"year":1984,"text":"Aboard Soyuz T-11, Rakesh Sharma became the first Indian to be launched into space.","url":"https://en.wikipedia.org/wiki/Soyuz_T-11"},{"year":1974,"text":"The Super Outbreak of 148 tornadoes began, killing at least 315 people and injuring 5,484 in 13 US states at the end of a very strong La Niña event.","url":"https://en.wikipedia.org/wiki/1974_Super_Outbreak"},{"year":1966,"text":"Luna 10 (replica pictured) entered orbit around the Moon, becoming the first space probe to orbit an astronomical body other than Earth or the Sun.","url":"https://en.wikipedia.org/wiki/Luna_10"},{"year":1948,"text":"The Marshall Plan, an economic recovery program established by U.S. Secretary of State George Marshall to assist the post-World War II re-building of Europe, was signed into law.","url":"https://en.wikipedia.org/wiki/Marshall_Plan"},{"year":1944,"text":"Philippine resistance against Japan: Cebuano fishermen discovered the Koga papers after a plane crash killed Admiral Mineichi Koga, commander-in-chief of the Imperial Japanese Navy's Combined Fleet.","url":"https://en.wikipedia.org/wiki/Philippine_resistance_against_Japan"},{"year":1933,"text":"Lord Clydesdale and David McIntyre undertook the first successful flight over Mount Everest.","url":"https://en.wikipedia.org/wiki/Douglas_Douglas-Hamilton%2C_14th_Duke_of_Hamilton"},{"year":1922,"text":"Joseph Stalin became the first general secretary of the Communist Party of the Soviet Union.","url":"https://en.wikipedia.org/wiki/Joseph_Stalin"},{"year":1895,"text":"The libel trial instigated by Irish author Oscar Wilde (pictured) began, eventually resulting in his arrest, trial and imprisonment on charges of gross indecency.","url":"https://en.wikipedia.org/wiki/Defamation"},{"year":1888,"text":"Emma Elizabeth Smith was killed in the first of eleven unsolved murders of women that took place in or near the impoverished Whitechapel district in the East End of London.","url":"https://en.wikipedia.org/wiki/Emma_Elizabeth_Smith"},{"year":1860,"text":"The Pony Express, a mail service that became the most direct means of long-distance communication across the United States before the first transcontinental telegraph, began operation.","url":"https://en.wikipedia.org/wiki/Pony_Express"},{"year":1721,"text":"Robert Walpole took office as First Lord of the Treasury, Chancellor of the Exchequer and Leader of the House of Commons, becoming the first de facto prime minister of Great Britain.","url":"https://en.wikipedia.org/wiki/Robert_Walpole"}],"births":[{"year":1999,"text":"Chanel Harris-Tavita, New Zealand-Samoan rugby league player","url":"https://en.wikipedia.org/wiki/Chanel_Harris-Tavita"},{"year":1998,"text":"Paris Jackson, American actress, model and singer","url":"https://en.wikipedia.org/wiki/Paris_Jackson"},{"year":1997,"text":"Gabriel Jesus, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Gabriel_Jesus"},{"year":1997,"text":"Zhao Xintong, Chinese snooker player","url":"https://en.wikipedia.org/wiki/Zhao_Xintong"},{"year":1996,"text":"Mayo Hibi, Japanese tennis player","url":"https://en.wikipedia.org/wiki/Mayo_Hibi"},{"year":1994,"text":"Kodi Nikorima, New Zealand rugby league player","url":"https://en.wikipedia.org/wiki/Kodi_Nikorima"},{"year":1994,"text":"Dylann Roof, American mass murderer","url":"https://en.wikipedia.org/wiki/Dylann_Roof"},{"year":1993,"text":"Pape Moussa Konaté, Senegalese footballer","url":"https://en.wikipedia.org/wiki/Moussa_Konat%C3%A9_(footballer)"}],"deaths":[{"year":2026,"text":"Fred Curry, Lebanese-American professional wrestler (born 1941)","url":"https://en.wikipedia.org/wiki/Fred_Curry"},{"year":2025,"text":"Theodore McCarrick, American former cardinal (born 1930)","url":"https://en.wikipedia.org/wiki/Theodore_McCarrick"},{"year":2025,"text":"Mick O'Dwyer, Irish Gaelic footballer and manager (born 1936)","url":"https://en.wikipedia.org/wiki/Mick_O'Dwyer"},{"year":2024,"text":"Bob Lanigan, Australian rugby league player (born 1942)","url":"https://en.wikipedia.org/wiki/Bob_Lanigan"},{"year":2024,"text":"Gaetano Pesce, Italian architect and designer (born 1939)","url":"https://en.wikipedia.org/wiki/Gaetano_Pesce"},{"year":2022,"text":"June Brown, English actress (born 1927)","url":"https://en.wikipedia.org/wiki/June_Brown"},{"year":2021,"text":"Stan Stephens, Canadian-American politician, 20th Governor of Montana (born 1929)","url":"https://en.wikipedia.org/wiki/Stan_Stephens"},{"year":2017,"text":"Kishori Amonkar, Indian classical vocalist (born 1931)","url":"https://en.wikipedia.org/wiki/Kishori_Amonkar"}]},"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."}