{"date":"2026-09-14","schema_version":1,"captured_at":"2026-09-15T09:44:08.024Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Sitee","views":571625,"rank":4,"extract":"Sitee is a 1993 Maldivian drama film written and directed by Ahmed Nimal. Produced by Aslam Rasheed under Slam Studio in association with Kid Productions, the film stars Nimal and Fathimath Rameeza in pivotal roles.","url":"https://en.wikipedia.org/wiki/Sitee","thumb":"https://upload.wikimedia.org/wikipedia/en/b/ba/Sitee.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Alexander Zverev","views":430774,"rank":5,"extract":"Alexander \"Sascha\" Zverev is a German professional tennis player. He has a career-high singles ranking of world No. 2 by the ATP, first achieved in June 2022. Zverev has won 26 ATP Tour singles titles, including two majors at the 2026 French Open and 2026 US O","url":"https://en.wikipedia.org/wiki/Alexander_Zverev","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/1/1d/Alexander_Zverev_%28cropped%29.jpg/330px-Alexander_Zverev_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Elena Rybakina","views":365765,"rank":6,"extract":"Elena Andreyevna Rybakina is a Russian-born Kazakhstani professional tennis player. She is currently ranked world No. 1 in singles by the Women's Tennis Association (WTA). Rybakina has won 14 WTA Tour-level singles titles, including three majors, two WTA 1000 ","url":"https://en.wikipedia.org/wiki/Elena_Rybakina","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/d/d3/Elena_Rybakina_%282025_DC_Open%29_11_%28cropped%29.jpg/330px-Elena_Rybakina_%282025_DC_Open%29_11_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Ben Shelton","views":345880,"rank":7,"extract":"Benjamin Todd Shelton is an American professional tennis player. He has been ranked world No. 4 in men's singles by the Association of Tennis Professionals (ATP), achieved in September 2026. 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27","points":595,"comments":677,"url":"https://www.apple.com/newsroom/2026/09/major-updates-for-apples-software-platforms-are-now-available/","discussion":"https://news.ycombinator.com/item?id=49701004"},{"title":"Dario, Please","points":526,"comments":255,"url":"https://pop.rdi.sh/dario-please/","discussion":"https://news.ycombinator.com/item?id=49697893"},{"title":"OpenAI bots knew about the RubyGems caching vulnerability","points":456,"comments":367,"url":"https://tenderlovemaking.com/2026/09/11/what-a-time-to-be-alive/","discussion":"https://news.ycombinator.com/item?id=49695876"},{"title":"Pion, an agent designed to run any company autonomously","points":401,"comments":501,"url":"https://andonlabs.com/blog/why-we-built-pion","discussion":"https://news.ycombinator.com/item?id=49700477"},{"title":"Apple's Dimensional 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Shows","points":222,"comments":157,"url":"https://www.macrumors.com/2026/09/14/siri-can-be-swapped-out-for-chatgpt-claude/","discussion":"https://news.ycombinator.com/item?id=49695409"},{"title":"EuroBirdPortal – Live bird movements across Europe","points":222,"comments":63,"url":"https://www.eurobirdportal.org/ebp/en/","discussion":"https://news.ycombinator.com/item?id=49693610"},{"title":"A beginning for mathematics","points":219,"comments":117,"url":"https://www.daniellitt.com/blog/2026/9/13/a-beginning-for-mathematics/","discussion":"https://news.ycombinator.com/item?id=49698699"},{"title":"Principles for Fast Tokio Applications","points":212,"comments":52,"url":"https://dial9-rs.github.io/blog/principles-for-fast-tokio-applications/","discussion":"https://news.ycombinator.com/item?id=49698607"},{"title":"A 386 PC for Your RP2350","points":211,"comments":79,"url":"https://github.com/rh1tech/frank-386","discussion":"https://news.ycombinator.com/item?id=49693613"},{"title":"How my e-reader lost its stripes","points":208,"comments":38,"url":"https://www.serpentine.com/posts/2026/x3-stripes/","discussion":"https://news.ycombinator.com/item?id=49699489"},{"title":"Amazon vs. Perplexity – U.S. Court of Appeals for the Ninth Circuit","points":207,"comments":202,"url":"https://law.justia.com/cases/federal/appellate-courts/ca9/26-1444/26-1444-2026-08-04.html","discussion":"https://news.ycombinator.com/item?id=49704008"},{"title":"Ubuntu 26.10 completes transition to Rust-based coreutils","points":183,"comments":186,"url":"https://www.omgubuntu.co.uk/2026/09/ubuntu-2610-rust-coreutils-complete","discussion":"https://news.ycombinator.com/item?id=49696697"},{"title":"Oracle’s 6am layoff emails hit staff amid new wave of cuts","points":182,"comments":164,"url":"https://www.techtimes.co.uk/oracle-new-layoffs-restructuring-costs-2-8-billion-1808676","discussion":"https://news.ycombinator.com/item?id=49702239"},{"title":"People who can't picture anything are rewriting the science of imagination","points":167,"comments":240,"url":"https://dailyneuron.com/aphantasia-mental-imagery-brain-network/","discussion":"https://news.ycombinator.com/item?id=49696453"},{"title":"New $100k H-1B visa fee pushes tech jobs offshore","points":161,"comments":356,"url":"https://spectrum.ieee.org/h-1b-visa-us-government","discussion":"https://news.ycombinator.com/item?id=49697171"}],"research":[{"title":"Bayesian Prediction for Artificial Intelligence","abstract":"This paper shows that the common method used for making predictions under uncertainty in A1 and science is in error. This method is to use currently available data to select the best model from a given class of models-this process is called abduction-and then to use this model to make predictions about future data. The correct method requires averaging over all the models to make a prediction-we call this method tran","authors":["Self, Matthew","Cheeseman, Peter"],"url":"https://arxiv.org/abs/1304.2717","arxiv_id":"1304.2717","published":"2026-09-14"},{"title":"Why we need an AI-resilient society- Profiling Large Language Models","abstract":"Three generations of software have transformed the role of artificial intelligence in society. In the first, programmers wrote explicit logic. In the second, neural networks learned programs from data. In the third, large language models turn natural language itself into a programming interface. These shifts reach far beyond computer science, reshaping how societies generate knowledge, make decisions, and govern them","authors":["Bartz-Beielstein, Thomas","Bartz, Eva"],"url":"https://arxiv.org/abs/1912.08786","arxiv_id":"1912.08786","published":"2026-09-14"},{"title":"COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics","abstract":"The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. Apart from the global health crises, the pandemic has also caused significant economic and financial difficulties and socio-physiological implications. Effective screening, triage, treatment planning, and prognostication of outcome plays a key role in controlling the pandemic. Recent studies have highli","authors":["Ebadi, Ashkan","Xi, Pengcheng","MacLean, Alexander","Tremblay, Stéphane","Kohli, Sonny","Wong, Alexander"],"url":"https://arxiv.org/abs/2103.10003","arxiv_id":"2103.10003","published":"2026-09-14"},{"title":"AbductionRules: Training Transformers to Explain Unexpected Inputs","abstract":"Transformers have recently been shown to be capable of reliably performing logical reasoning over facts and rules expressed in natural language, but abductive reasoning - inference to the best explanation of an unexpected observation - has been underexplored despite significant applications to scientific discovery, common-sense reasoning, and model interpretability. We present AbductionRules, a group of natural langu","authors":["Young, Nathan","Bao, Qiming","Bensemann, Joshua","Witbrock, Michael"],"url":"https://arxiv.org/abs/2203.12186","arxiv_id":"2203.12186","published":"2026-09-14"},{"title":"Synthetic Blips: Generalizing Synthetic Controls for Dynamic Treatment Effects","abstract":"We propose a generalization of the synthetic control methods to the setting with dynamic treatment effects, in which each unit receives multiple treatments sequentially, according to an adaptive policy that depends on a latent, endogenously time-varying confounding state. Under a low-rank latent factor model assumption, which admits linear time-varying and time-invariant dynamic triangular systems as special cases, w","authors":["Agarwal, Anish","Han, Sukjin","Saha, Dwaipayan","Syrgkanis, Vasilis","Yoon, Haeyeon"],"url":"https://arxiv.org/abs/2210.11003","arxiv_id":"2210.11003","published":"2026-09-14"},{"title":"Computing linear sections of varieties: quantum entanglement, tensor decompositions and beyond","abstract":"We study the problem of finding elements in the intersection of an arbitrary conic variety in $\\mathbb{F}^n$ with a given linear subspace (where $\\mathbb{F}$ can be the real or complex field). This problem captures a rich family of algorithmic problems under different choices of the variety. The special case of the variety consisting of rank-1 matrices already has strong connections to central problems in different a","authors":["Johnston, Nathaniel","Lovitz, Benjamin","Vijayaraghavan, Aravindan"],"url":"https://arxiv.org/abs/2212.03851","arxiv_id":"2212.03851","published":"2026-09-14"},{"title":"Guided Adversarial Robust Transfer Learning with Source Mixing","abstract":"Transfer learning is a critical technique that enables the application of knowledge gained from existing tasks or domains to improve performance on a new one, reducing the need for extensive data and training in each new context. Many existing transfer learning methods rely on leveraging information from source populations closely resembling the target population. However, this approach often overlooks valuable knowl","authors":["Xiong, Xin","Guo, Zijian","Cai, Tianxi"],"url":"https://arxiv.org/abs/2309.06534","arxiv_id":"2309.06534","published":"2026-09-14"},{"title":"Protect Your Score: Contact Tracing With Differential Privacy Guarantees","abstract":"The pandemic in 2020 and 2021 had enormous economic and societal consequences, and studies show that contact tracing algorithms can be key in the early containment of the virus. While large strides have been made towards more effective contact tracing algorithms, we argue that privacy concerns currently hold deployment back. The essence of a contact tracing algorithm constitutes the communication of a risk score. Yet","authors":["Romijnders, Rob","Louizos, Christos","Asano, Yuki M.","Welling, Max"],"url":"https://arxiv.org/abs/2312.11581","arxiv_id":"2312.11581","published":"2026-09-14"},{"title":"PEARL: Structural Privacy-Utility Control in Human-Centric CPS via Personalized Early-Exit Deep Reinforcement Learning","abstract":"In human-centric Cyber-Physical Systems (CPS), personalized Deep Reinforcement Learning (DRL) agents must share fine-grained control actions with cloud services, exposing sensitive private states to inference attacks by honest-but-curious adversaries. Static privacy models fail to address the dynamic nature of human interactions. This paper introduces PEARL (Personalized Early-exit Adaptive Reinforcement Learning), a","authors":["Taherisadr, Mojtaba","Elmalaki, Salma"],"url":"https://arxiv.org/abs/2403.05864","arxiv_id":"2403.05864","published":"2026-09-14"},{"title":"Satisficing Regret Minimization in Bandits: Constant Rate and Light-Tailed Distribution","abstract":"Motivated by the concept of satisficing in decision-making, we consider the problem of satisficing regret minimization in bandit optimization. In this setting, the learner aims at selecting satisficing arms (arms with mean reward exceeding a certain threshold value) as frequently as possible. The performance is measured by satisficing regret, which is the cumulative deficit of the chosen arm's mean reward compare","authors":["Feng, Qing","Ma, Tianyi","Zhu, Ruihao"],"url":"https://arxiv.org/abs/2406.06802","arxiv_id":"2406.06802","published":"2026-09-14"},{"title":"De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation","abstract":"The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent segment anything model (SAM) has demonstrated strong adaptability across diverse natural scenarios. However, the huge computational costs, demand for manual annotations as prompts and conflict-prone decoding process of SAM degrade","authors":["Xu, Qing","Li, Jiaxuan","He, Xiangjian","Li, Chenxin","Tesema, Fiseha B.","Duan, Wenting"],"url":"https://arxiv.org/abs/2407.14153","arxiv_id":"2407.14153","published":"2026-09-14"},{"title":"Transformers As Approximations of Solomonoff Induction","abstract":"Solomonoff Induction is an optimal-in-the-limit unbounded algorithm for sequence prediction, representing a Bayesian mixture of every computable probability distribution and performing close to optimally in predicting any computable sequence. Being an optimal form of computational sequence prediction, it seems plausible that it may be used as a model against which other methods of sequence prediction might be compare","authors":["Young, Nathan","Witbrock, Michael"],"url":"https://arxiv.org/abs/2408.12065","arxiv_id":"2408.12065","published":"2026-09-14"},{"title":"All Entities are Not Created Equal: Examining the Long Tail for Ultra-Fine Entity Typing","abstract":"Due to their capacity to acquire world knowledge from large corpora, pre-trained language models (PLMs) are extensively used in ultra-fine entity typing tasks where the space of labels is extremely large. In this work, we explore the limitations of the knowledge acquired by PLMs by proposing a novel heuristic to approximate the pre-training distribution of entities when the pre-training data is unknown. Then, we syst","authors":["Deshmukh, Advait","Umadi, Ashwin","Srinivas, Dananjay","Pacheco, Maria Leonor"],"url":"https://arxiv.org/abs/2410.17355","arxiv_id":"2410.17355","published":"2026-09-14"},{"title":"Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging","abstract":"In Magnetic Resonance Imaging (MRI), high temporal-resolved motion can be useful for image acquisition and reconstruction, MR-guided radiotherapy, dynamic contrast-enhancement, flow and perfusion imaging, and functional assessment of motion patterns in cardiovascular, abdominal, peristaltic, fetal, or musculoskeletal imaging. Conventionally, these motion estimates are derived through image-based registration, a parti","authors":["Ghoul, Aya","Hammernik, Kerstin","Lingg, Andreas","Krumm, Patrick","Rueckert, Daniel","Gatidis, Sergios"],"url":"https://arxiv.org/abs/2410.18834","arxiv_id":"2410.18834","published":"2026-09-14"},{"title":"Distributionally Robust Optimization","abstract":"Distributionally robust optimization (DRO) studies decision problems under uncertainty where the probability distribution governing the uncertain problem parameters is itself uncertain. A key component of any DRO model is its ambiguity set, that is, a family of probability distributions consistent with any available structural or statistical information. DRO seeks decisions that perform best under the worst distribut","authors":["Kuhn, Daniel","Shafiee, Soroosh","Wiesemann, Wolfram"],"url":"https://arxiv.org/abs/2411.02549","arxiv_id":"2411.02549","published":"2026-09-14"},{"title":"From Bench-to-Bedside: A Review of Clinical Trials in Drug Discovery and Development","abstract":"Clinical trials bridge basic research and clinical application, serving as essential steps in drug development. This review examines clinical trial phases (Phase I [safety assessment], Phase II [efficacy evaluation], Phase III [large-scale validation], and Phase IV [post-marketing surveillance]), highlighting the distinct characteristics and interconnections. Major challenges are identified, including ethical complia","authors":["Wang, Tianyang","Liu, Ming","Peng, Benji","Song, Xinyuan","Zhang, Charles","Sun, Xintian"],"url":"https://arxiv.org/abs/2412.09378","arxiv_id":"2412.09378","published":"2026-09-14"},{"title":"A Training-free Method for LLM Text Attribution","abstract":"Verifying the provenance of text is increasingly important for firms, educational institutions, and online platforms as Large Language Models (LLMs) produce output that is nearly indistinguishable from human-generated content. We study the problem of determining whether a given text was generated by a particular LLM while controlling the false positive rate. We model LLM-generated text as a sequential stochastic proc","authors":["Radvand, Tara","Duenyas, Izak","Tewari, Ambuj"],"url":"https://arxiv.org/abs/2501.02406","arxiv_id":"2501.02406","published":"2026-09-14"},{"title":"Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks","abstract":"Modern artificial intelligence is supported by machine learning models (e.g., foundation models) that are pretrained on a massive data corpus and then adapted to solve a variety of downstream tasks. To summarize performance across multiple tasks, evaluation metrics are often aggregated into a summary metric, e.g., average accuracy across 10 question-answering tasks. When aggregating evaluation metrics, it is useful t","authors":["Longjohn, Rachel","Gopalan, Giri","Casleton, Emily"],"url":"https://arxiv.org/abs/2501.04234","arxiv_id":"2501.04234","published":"2026-09-14"},{"title":"RoMu4o: A Robotic Manipulation Unit For Orchard Operations Automating Proximal Hyperspectral Leaf Sensing","abstract":"Driven by the need to address labor shortages and meet the demands of a rapidly growing population, robotic automation has become a critical component in precision agriculture. Leaf-level hyperspectral spectroscopy is shown to be a powerful tool for phenotyping, monitoring crop health, identifying essential nutrients within plants as well as detecting diseases and water stress. This work introduces RoMu4o, a robotic ","authors":["Mortazavi, Mehrad","Cappelleri, David J.","Ehsani, Reza"],"url":"https://arxiv.org/abs/2501.10621","arxiv_id":"2501.10621","published":"2026-09-14"},{"title":"Scaling Online Complex Event Detection with Synthetic Supervision and Mamba-Based Neural Algorithmic Reasoning","abstract":"Modern machine learning models excel at detecting individual actions, sounds, or scene attributes from short, localized observations. However, many real-world tasks, such as in smart cities and healthcare, require reasoning over high-level complex events (CEs): spatiotemporal, rule-governed patterns of short-term atomic events (AEs). Complex event detection (CED) is challenging due to long temporal dependencies, gene","authors":["Han, Liying","Dong, Gaofeng","Ouyang, Xiaomin","Yang, Kang","Kaplan, Lance","Cerutti, Federico"],"url":"https://arxiv.org/abs/2502.07250","arxiv_id":"2502.07250","published":"2026-09-14"},{"title":"Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction","abstract":"Reconstructing MRI from highly undersampled measurements is crucial for accelerating medical imaging, but is challenging due to the ill-posedness of the inverse problem. While supervised deep learning (DL) approaches have shown remarkable success, they traditionally rely on fully-sampled ground truth (GT) images, which are expensive or impossible to obtain in real scenarios. This problem has created a recent surge in","authors":["Wang, Andrew","McDonagh, Steven","Davies, Mike"],"url":"https://arxiv.org/abs/2502.14009","arxiv_id":"2502.14009","published":"2026-09-14"},{"title":"Safe Learning Under Irreversible Dynamics via Asking for Help","abstract":"Most learning algorithms with formal regret guarantees essentially rely on trying all possible behaviors, which is problematic when some errors cannot be recovered from. Instead, we allow the learning agent to ask for help from a mentor and to transfer knowledge between similar states. We show that this combination enables the agent to learn both safely and effectively. Under standard online learning assumptions, we ","authors":["Plaut, Benjamin","Liévano-Karim, Juan","Zhu, Hanlin","Russell, Stuart"],"url":"https://arxiv.org/abs/2502.14043","arxiv_id":"2502.14043","published":"2026-09-14"},{"title":"Statistical Mechanics of Semantic Compression","abstract":"The basic problem of semantic compression is to minimize the length of a message while preserving its meaning. This differs from classical notions of compression in that the distortion is not measured directly at the level of bits, but rather in an abstract semantic space. In order to make this precise, we take inspiration from cognitive neuroscience and machine learning and model semantic space as a continuous Eucli","authors":["Can, Tankut"],"url":"https://arxiv.org/abs/2503.00612","arxiv_id":"2503.00612","published":"2026-09-14"},{"title":"FLOAT Drone: A Fully-actuated Coaxial Aerial Robot for Close-Proximity Operations","abstract":"How to endow aerial robots with the ability to operate in close proximity remains an open problem. The core challenges lie in the propulsion system's dual-task requirement: generating manipulation forces while simultaneously counteracting gravity. These competing demands create dynamic coupling effects during physical interactions. Furthermore, rotor-induced airflow disturbances critically undermine operational r","authors":["Lin, Junxiao","Ji, Shuhang","Wu, Yuze","Wu, Tianyue","Han, Zhichao","Gao, Fei"],"url":"https://arxiv.org/abs/2503.00785","arxiv_id":"2503.00785","published":"2026-09-14"},{"title":"Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision","abstract":"We present Lunima-OmniLV (abbreviated as OmniLV), a universal multimodal multi-task framework for low-level vision that addresses over 100 sub-tasks across four major categories: image restoration, image enhancement, weak-semantic dense prediction, and stylization. OmniLV leverages both textual and visual prompts to offer flexible and user-friendly interactions. Built on Diffusion Transformer (DiT)-based generative p","authors":["Pu, Yuandong","Zhuo, Le","Zhu, Kaiwen","Xie, Liangbin","Zhang, Wenlong","Chen, Xiangyu"],"url":"https://arxiv.org/abs/2504.04903","arxiv_id":"2504.04903","published":"2026-09-14"}],"history":{"events":[{"year":2019,"text":"Drone attacks on major processing facilities at Abqaiq and Khurais forced Saudi Arabia to cut more than half of its oil production.","url":"https://en.wikipedia.org/wiki/Abqaiq%E2%80%93Khurais_attack"},{"year":2015,"text":"Physicists of the LIGO and Virgo projects first observed gravitational waves, the existence of which was predicted by Henri Poincaré in 1905.","url":"https://en.wikipedia.org/wiki/LIGO"},{"year":2007,"text":"Late-2000s financial crisis: The Northern Rock bank received a liquidity support facility from the Bank of England, sparking a bank run—the United Kingdom's first in 150 years.","url":"https://en.wikipedia.org/wiki/2008_financial_crisis"},{"year":2003,"text":"President Kumba Ialá (pictured) of Guinea-Bissau was deposed in a bloodless military coup.","url":"https://en.wikipedia.org/wiki/Kumba_Yala"},{"year":1992,"text":"The Constitutional Court of Bosnia and Herzegovina declared the breakaway Croatian Republic of Herzeg-Bosnia to be unconstitutional.","url":"https://en.wikipedia.org/wiki/Croatian_Republic_of_Herzeg-Bosnia"},{"year":1989,"text":"Typhoon Sarah dissipated after causing extensive damage along an erratic path across the Western Pacific, killing 71 in Taiwan, the Philippines, and the Gotō Islands.","url":"https://en.wikipedia.org/wiki/Typhoon_Sarah_(1989)"},{"year":1979,"text":"Afghan president Nur Muhammad Taraki (pictured) was overthrown and later killed on the orders of Hafizullah Amin, who succeeded him.","url":"https://en.wikipedia.org/wiki/Nur_Muhammad_Taraki"},{"year":1943,"text":"World War II: Nazi forces began a mass extermination campaign against the civilian residents of around 20 villages on the Greek island of Crete, eventually killing more than 500 men.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1940,"text":"Hungarian forces massacred at least 150 ethnic Romanians in Ip, Transylvania, following rumors that Romanians were responsible for the deaths of two soldiers.","url":"https://en.wikipedia.org/wiki/Ip_massacre"},{"year":1914,"text":"HMAS AE1 (pictured), the Royal Australian Navy's first submarine, was lost at sea; its wreck was not found until 2017.","url":"https://en.wikipedia.org/wiki/HMAS_AE1"},{"year":1901,"text":"Theodore Roosevelt became President of the United States at age 42, the youngest person ever to do so, eight days after William McKinley was fatally wounded in Buffalo, New York.","url":"https://en.wikipedia.org/wiki/Theodore_Roosevelt"},{"year":1863,"text":"American Civil War: The Little Rock campaign ended with the Union Army capturing Little Rock, Arkansas.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1752,"text":"Under the terms of the Calendar (New Style) Act 1750, the British Empire adopted the Gregorian calendar, skipping 11 days of the month.","url":"https://en.wikipedia.org/wiki/Calendar_(New_Style)_Act_1750"},{"year":1723,"text":"António Manoel de Vilhena, Grand Master of the Knights Hospitaller, laid the first stone of Fort Manoel in Malta.","url":"https://en.wikipedia.org/wiki/Ant%C3%B3nio_Manoel_de_Vilhena"},{"year":919,"text":"Viking activity in the British Isles: A coalition of native Irish, led by Niall Glúndub, failed in their attempt to drive the Vikings of the Uí Ímair from Ireland.","url":"https://en.wikipedia.org/wiki/Viking_activity_in_the_British_Isles"},{"year":81,"text":"Domitian, the last Flavian emperor of Rome, was confirmed by the Senate to succeed his brother Titus.","url":"https://en.wikipedia.org/wiki/AD_81"}],"births":[{"year":2000,"text":"Han, South Korean rapper","url":"https://en.wikipedia.org/wiki/Han_(musician)"},{"year":1997,"text":"Benjamin Ingrosso, Swedish singer and songwriter","url":"https://en.wikipedia.org/wiki/Benjamin_Ingrosso"},{"year":1997,"text":"Dominic Solanke, English footballer","url":"https://en.wikipedia.org/wiki/Dominic_Solanke"},{"year":1996,"text":"Hugh Bernard, English cricketer","url":"https://en.wikipedia.org/wiki/Hugh_Bernard"},{"year":1996,"text":"Myles Wright, English professional footballer","url":"https://en.wikipedia.org/wiki/Myles_Wright"},{"year":1995,"text":"Jevon Carter, American basketball player","url":"https://en.wikipedia.org/wiki/Jevon_Carter"},{"year":1995,"text":"Deshaun Watson, American football player","url":"https://en.wikipedia.org/wiki/Deshaun_Watson"},{"year":1994,"text":"Brahim Darri, Dutch footballer","url":"https://en.wikipedia.org/wiki/Brahim_Darri"}],"deaths":[{"year":2025,"text":"Jim Edgar, American politician, 38th Governor of Illinois","url":"https://en.wikipedia.org/wiki/Jim_Edgar"},{"year":2025,"text":"Ricky Hatton, British professional boxer (born 1978)","url":"https://en.wikipedia.org/wiki/Ricky_Hatton"},{"year":2024,"text":"Jaber Mubarak Al-Sabah, Kuwaiti royal and politician, 7th Prime Minister of Kuwait (born 1942)","url":"https://en.wikipedia.org/wiki/Jaber_Al-Mubarak_Al-Hamad_Al-Sabah"},{"year":2024,"text":"Otis Davis, American sprinter (born 1932)","url":"https://en.wikipedia.org/wiki/Otis_Davis"},{"year":2021,"text":"Norm Macdonald, Canadian comedian and actor (born 1959)","url":"https://en.wikipedia.org/wiki/Norm_Macdonald"},{"year":2018,"text":"Ethel Johnson, American professional wrestler (born 1935)","url":"https://en.wikipedia.org/wiki/Ethel_Johnson_(wrestler)"},{"year":2018,"text":"Zienia Merton, British actress (born 1945)","url":"https://en.wikipedia.org/wiki/Zienia_Merton"},{"year":2015,"text":"Davey Browne, Australian boxer (born 1986)","url":"https://en.wikipedia.org/wiki/Davey_Browne"}]},"census":{"panel_version":2,"probed":14770,"error_rate":20.14,"degraded":false,"rates":{"head":12,"tail":6,"ai_native":75.45}},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","license":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","license":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"license":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}