{"date":"2026-04-21","schema_version":1,"captured_at":"2026-08-25T23:37:42.306Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Nahui Ollin","views":858084,"rank":3,"extract":"Nahui Ollin is a 16th-century concept in Aztec/Mexica cosmology with a variety of meanings. 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It was the 42nd annual WrestleMania and took place as a two-night event on Saturday, April 18 and Sunday, April ","url":"https://en.wikipedia.org/wiki/WrestleMania_42","thumb":"https://upload.wikimedia.org/wikipedia/en/0/0f/WrestleMania_42_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Patrick Muldoon","views":557394,"rank":5,"extract":"William Patrick Muldoon III was an American actor, film producer, and musician. 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He is signed to WWE, where he performs on the Raw brand under the ring name Oba Femi and is the incumbent King of the Ring. He is a former two-time NXT Champion, and a former one-time NXT N","url":"https://en.wikipedia.org/wiki/Oba_Femi","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/2/29/Oba_Femi_2024_%28cropped%29.jpg/330px-Oba_Femi_2024_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 West Bengal Legislative Assembly election","views":74801,"rank":31,"extract":"Legislative Assembly elections were held in West Bengal to elect all 294 members of the West Bengal Legislative Assembly in two phases on 23 and 29 April 2026, with the votes counted and results for 293 seats released on 4 May 2026. The election saw the defeat","url":"https://en.wikipedia.org/wiki/2026_West_Bengal_Legislative_Assembly_election","thumb":"https://upload.wikimedia.org/wikipedia/commons/d/da/Shri_Suvendu_Adhikari%2C_CM_of_West_Bengal_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Youth (2026 film)","views":72330,"rank":32,"extract":"Youth is a 2026 Indian Tamil-language coming of age romantic comedy film written and directed by Ken Karunas, in his directorial debut, who also enacts the lead role. 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In April 2026,","url":"https://en.wikipedia.org/wiki/Killing_of_Celeste_Rivas_Hernandez","thumb":"https://upload.wikimedia.org/wikipedia/en/1/1c/Celeste_Rivas_Hernandez.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"2026 Tamil Nadu Legislative Assembly election","views":67264,"rank":34,"extract":"Elections to appoint the 234 members of the 17th Tamil Nadu Legislative Assembly, the highest body of the Government of Tamil Nadu, were held on 23 April 2026. The results were declared on 4 May 2026 by the Election Commission of India. It recorded the highest","url":"https://en.wikipedia.org/wiki/2026_Tamil_Nadu_Legislative_Assembly_election","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/d8/JosephVijay.jpg/330px-JosephVijay.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Iran war","views":66104,"rank":35,"extract":"Since 28 February 2026, the United States and Israel have been at war with Iran and its regional allies. Hostilities broke out after US–Israeli airstrikes killed several Iranian officials, including Supreme Leader Ali Khamenei. 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Those models are expensive to train and difficult to parameterize. Objective: We investigate methodological issues for designing and evaluating deep learning models for skin lesion analysis. We explore 10 choices faced by researchers: use of transfer learning, model architecture, train dataset, image resolution, type of data ","authors":["Valle, Eduardo","Fornaciali, Michel","Menegola, Afonso","Tavares, Julia","Bittencourt, Flávia Vasques","Li, Lin Tzy"],"url":"https://arxiv.org/abs/1711.00441","arxiv_id":"1711.00441","published":"2026-04-21"},{"title":"(De)Constructing Bias on Skin Lesion Datasets","abstract":"Melanoma is the deadliest form of skin cancer. Automated skin lesion analysis plays an important role for early detection. Nowadays, the ISIC Archive and the Atlas of Dermoscopy dataset are the most employed skin lesion sources to benchmark deep-learning based tools. However, all datasets contain biases, often unintentional, due to how they were acquired and annotated. Those biases distort the performance of machine-","authors":["Bissoto, Alceu","Fornaciali, Michel","Valle, Eduardo","Avila, Sandra"],"url":"https://arxiv.org/abs/1904.08818","arxiv_id":"1904.08818","published":"2026-04-21"},{"title":"Combating the Elsagate phenomenon: Deep learning architectures for disturbing cartoons","abstract":"Watching cartoons can be useful for children's intellectual, social and emotional development. However, the most popular video sharing platform today provides many videos with Elsagate content. Elsagate is a phenomenon that depicts childhood characters in disturbing circumstances (e.g., gore, toilet humor, drinking urine, stealing). Even with this threat easily available for children, there is no work in the lite","authors":["Ishikawa, Akari","Bollis, Edson","Avila, Sandra"],"url":"https://arxiv.org/abs/1904.08910","arxiv_id":"1904.08910","published":"2026-04-21"},{"title":"Bayesian Neural Networks: An Introduction and Survey","abstract":"Neural Networks (NNs) have provided state-of-the-art results for many challenging machine learning tasks such as detection, regression and classification across the domains of computer vision, speech recognition and natural language processing. Despite their success, they are often implemented in a frequentist scheme, meaning they are unable to reason about uncertainty in their predictions. This article introduces Ba","authors":["Goan, Ethan","Fookes, Clinton"],"url":"https://arxiv.org/abs/2006.12024","arxiv_id":"2006.12024","published":"2026-04-21"},{"title":"#PraCegoVer: A Large Dataset for Image Captioning in Portuguese","abstract":"Automatically describing images using natural sentences is an important task to support visually impaired people's inclusion onto the Internet. It is still a big challenge that requires understanding the relation of the objects present in the image and their attributes and actions they are involved in. Then, visual interpretation methods are needed, but linguistic models are also necessary to verbally describe th","authors":["Santos, Gabriel Oliveira dos","Colombini, Esther Luna","Avila, Sandra"],"url":"https://arxiv.org/abs/2103.11474","arxiv_id":"2103.11474","published":"2026-04-21"},{"title":"Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification","abstract":"Citrus juices and fruits are commodities with great economic potential in the international market, but productivity losses caused by mites and other pests are still far from being a good mark. Despite the integrated pest mechanical aspect, only a few works on automatic classification have handled images with orange mite characteristics, which means tiny and noisy regions of interest. On the computational side, atten","authors":["Bollis, Edson","Maia, Helena","Pedrini, Helio","Avila, Sandra"],"url":"https://arxiv.org/abs/2110.00881","arxiv_id":"2110.00881","published":"2026-04-21"},{"title":"Graph Neural Networks for Graphs with Heterophily: A Survey","abstract":"Recent years have witnessed fast developments of graph neural networks (GNNs) that have benefited myriad graph analytic tasks and applications. Most GNNs rely on the homophily assumption that nodes belonging to the same class are more likely to be connected. However, as a ubiquitous graph property in numerous real-world scenarios, heterophily, i.e., nodes with different labels tend to be linked, significantly limits ","authors":["Zheng, Xin","Wang, Yi","Liu, Yixin","Li, Ming","Zhang, Miao","Jin, Di"],"url":"https://arxiv.org/abs/2202.07082","arxiv_id":"2202.07082","published":"2026-04-21"},{"title":"PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming","abstract":"In deterministic optimization, it is typically assumed that all problem parameters are fixed and known. In practice, however, some parameters may be a priori unknown but can be estimated from contextual information. A typical predict-then-optimize approach separates predictions and optimization into two distinct stages. Recently, end-to-end predict-then-optimize has emerged as an attractive alternative. This work int","authors":["Tang, Bo","Khalil, Elias B."],"url":"https://arxiv.org/abs/2206.14234","arxiv_id":"2206.14234","published":"2026-04-21"},{"title":"Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML","abstract":"Numerical approximations of partial differential equations (PDEs) are routinely employed to formulate the solution of physics, engineering, and mathematical problems involving functions of several variables, such as the propagation of heat or sound, fluid flow, elasticity, electrostatics, electrodynamics, and more. While this has led to solving many complex phenomena, there are some limitations. Conventional approach","authors":["Viswanath, Hrishikesh","Rahman, Md Ashiqur","Vyas, Abhijeet","Shor, Andrey","Medeiros, Beatriz","Hernandez, Stephanie"],"url":"https://arxiv.org/abs/2301.13331","arxiv_id":"2301.13331","published":"2026-04-21"},{"title":"User Simulation for Evaluating Information Access Systems","abstract":"Information access systems, such as search engines, recommender systems, and conversational assistants, have become integral to our daily lives as they help us satisfy our information needs. However, evaluating the effectiveness of these systems presents a long-standing and complex scientific challenge. This challenge is rooted in the difficulty of assessing a system's overall effectiveness in assisting users to ","authors":["Balog, Krisztian","Zhai, ChengXiang"],"url":"https://arxiv.org/abs/2306.08550","arxiv_id":"2306.08550","published":"2026-04-21"},{"title":"A Machine Learning Approach to Two-Stage Adaptive Robust Optimization","abstract":"We propose an approach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty sets. We encode the optimal here-and-now decisions, the worst-case scenarios associated with the optimal here-and-now decisions, and the optimal wait-and-see decisions into what we denote as the strategy. We solve multiple similar ARO inst","authors":["Bertsimas, Dimitris","Kim, Cheol Woo"],"url":"https://arxiv.org/abs/2307.12409","arxiv_id":"2307.12409","published":"2026-04-21"},{"title":"Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions","abstract":"Melanoma is the most severe type of skin cancer due to its ability to cause metastasis. It is more common in black people, often affecting acral regions: palms, soles, and nails. Deep neural networks have shown tremendous potential for improving clinical care and skin cancer diagnosis. Nevertheless, prevailing studies predominantly rely on datasets of white skin tones, neglecting to report diagnostic outcomes for div","authors":["Barros, Luana","Chaves, Levy","Avila, Sandra"],"url":"https://arxiv.org/abs/2310.00517","arxiv_id":"2310.00517","published":"2026-04-21"},{"title":"Multi-Beholder: Biomarker Prediction for Low-Grade Glioma with Multiple Instance Learning and One-Class Classification","abstract":"Biomarker detection is an indispensable part of the diagnosis and treatment of low-grade glioma (LGG). However, current LGG biomarker detection methods rely on expensive and complex molecular genetic testing, for which professionals are required to analyze the results, and intra-rater variability is often reported. To overcome these challenges, we propose an interpretable deep learning pipeline, named Multi-Biomarker","authors":["Fang, Zijie","Liu, Yihan","Wang, Yifeng","Zhang, Xiangyang","Chen, Yang","Cai, Changjing"],"url":"https://arxiv.org/abs/2310.07464","arxiv_id":"2310.07464","published":"2026-04-21"},{"title":"GREEMA: Proposal and Experimental Verification of Growing Robot by Eating Environmental MAterial for Landslide Disaster","abstract":"In areas that are inaccessible to humans, such as the lunar surface and landslide sites, there is a need for multiple autonomous mobile robot systems that can replace human workers. In particular, at landslide sites such as river channel blockages, robots are required to remove water and sediment from the site as soon as possible. Conventionally, several construction machines have been deployed to the site for civil ","authors":["Tsunoda, Yusuke","Sato, Yuya","Osuka, Koichi"],"url":"https://arxiv.org/abs/2311.01107","arxiv_id":"2311.01107","published":"2026-04-21"},{"title":"Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning","abstract":"Metamaterials with functional responses can exhibit varying properties under different conditions (e.g., wave-based responses or deformation-induced property variation). This work addresses the rapid inverse design of such metamaterials to meet target qualitative functional behaviors, a challenge due to its intractability and non-unique solutions. Unlike data-intensive and non-interpretable deep-learning-based method","authors":["Chen, Wei "Wayne"","Sun, Rachel","Lee, Doksoo","Portela, Carlos M.","Chen, Wei"],"url":"https://arxiv.org/abs/2401.00003","arxiv_id":"2401.00003","published":"2026-04-21"},{"title":"Multimodal Sentiment Analysis with Missing Modality: A Knowledge-Transfer Approach","abstract":"Multimodal sentiment analysis aims to identify the emotions expressed by individuals through visual, language, and acoustic cues. However, most existing research assume that all modalities are available during both training and testing, which makes their algorithms susceptible to the missing-modality scenarios. In this paper, we propose a novel knowledge-transfer network to translate between different modalities to r","authors":["Liu, Weide","Zhan, Huijing"],"url":"https://arxiv.org/abs/2401.10747","arxiv_id":"2401.10747","published":"2026-04-21"},{"title":"Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization","abstract":"Diffusion models have become a leading paradigm in generative AI, with score estimation via denoising score matching as a central component. While recent theory provides strong statistical guarantees, it typically relies on algorithm-agnostic assumptions and treats empirical risk minimization as if it were solved exactly. In practice, however, score functions are parameterized by highly nonconvex neural networks and ","authors":["Han, Yinbin","Razaviyayn, Meisam","Xu, Renyuan"],"url":"https://arxiv.org/abs/2401.15604","arxiv_id":"2401.15604","published":"2026-04-21"},{"title":"Unraveling the Key of Machine Learning-based Android Malware Detection","abstract":"With the rapid advancement of machine learning (ML), ML-based Android malware detection has gained significant popularity due to its ability to automatically learn malicious patterns from Android apps. However, the lack of an in-depth and systematic analysis of existing research makes it difficult to obtain a holistic understanding of the state of the art in this field. In this work, we present the most comprehensive","authors":["Liu, Jiahao","Zeng, Jun","Pierazzi, Fabio","Yang, Ziqi","Cavallaro, Lorenzo","Liang, Zhenkai"],"url":"https://arxiv.org/abs/2402.02953","arxiv_id":"2402.02953","published":"2026-04-21"},{"title":"AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems","abstract":"Everyday we increasingly rely on machine learning models to automate and support high-stake tasks and decisions. This growing presence means that humans are now constantly interacting with machine learning-based systems, training and using models everyday. Several different techniques in computer science literature account for the human interaction with machine learning systems, but their classification is sparse and","authors":["Punzi, Clara","Pellungrini, Roberto","Setzu, Mattia","Giannotti, Fosca","Pedreschi, Dino"],"url":"https://arxiv.org/abs/2402.06287","arxiv_id":"2402.06287","published":"2026-04-21"},{"title":"VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning","abstract":"Learning a human-like driving policy from large-scale driving demonstrations is promising, but the uncertainty and non-deterministic nature of planning make it challenging. Existing learning-based planning methods follow a deterministic paradigm to directly regress the action, failing to cope with the uncertainty problem. In this work, we propose a probabilistic planning model for end-to-end autonomous driving, terme","authors":["Jiang, Bo","Chen, Shaoyu","Gao, Hao","Liao, Bencheng","Zhang, Qian","Liu, Wenyu"],"url":"https://arxiv.org/abs/2402.13243","arxiv_id":"2402.13243","published":"2026-04-21"},{"title":"CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks","abstract":"Numerous roadside perception datasets have been introduced to propel advancements in autonomous driving and intelligent transportation systems research and development. However, it has been observed that the majority of their concentrates is on urban arterial roads, inadvertently overlooking residential areas such as parks and campuses that exhibit entirely distinct characteristics. In light of this gap, we propose C","authors":["Wang, Beibei","Yu, Zijian","Zhang, Lu","Huang, Jingjing","Li, Yao","Ren, Haojie"],"url":"https://arxiv.org/abs/2404.03191","arxiv_id":"2404.03191","published":"2026-04-21"},{"title":"A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting","abstract":"Recent industrial credit scoring models remain heavily reliant on manually tuned statistical learning methods. Despite their potential, deep learning architectures have struggled to consistently outperform traditional statistical models in industrial credit scoring, largely due to the complexity of heterogeneous financial data and the challenge of modeling evolving creditworthiness. To bridge this gap, we introduce F","authors":["Lei, Yu","Wang, Zixuan","Feng, Yiqing","Zhang, Junru","Li, Yahui","Liu, Chu"],"url":"https://arxiv.org/abs/2404.13004","arxiv_id":"2404.13004","published":"2026-04-21"},{"title":"Machine Unlearning: A Comprehensive Survey","abstract":"As the right to be forgotten has been legislated worldwide, many studies attempt to design unlearning mechanisms to protect users' privacy when they want to leave machine learning service platforms. Specifically, machine unlearning is to make a trained model to remove the contribution of an erased subset of the training dataset. This survey aims to systematically classify a wide range of machine unlearning and di","authors":["Wang, Weiqi","Tian, Zhiyi","Zhang, Chenhan","Yu, Shui"],"url":"https://arxiv.org/abs/2405.07406","arxiv_id":"2405.07406","published":"2026-04-21"},{"title":"Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment","abstract":"Large language models (LLMs) have revolutionized various applications, making robust safety alignment essential to prevent harmful outputs. Current safety alignment techniques, however, harbor inherent vulnerabilities due to their reliance on logit suppression. In this work, we identify critical logit-level vulnerabilities by introducing Semantic-sensitive Alignment and Generation (SSAG), a method designed to systema","authors":["Li, Yuxi","Liu, Yi","Li, Yuekang","Shi, Ling","Deng, Gelei","Chen, Shengquan"],"url":"https://arxiv.org/abs/2405.13068","arxiv_id":"2405.13068","published":"2026-04-21"},{"title":"Network Interdiction Goes Neural","abstract":"Network interdiction problems are combinatorial optimization problems involving two players: one aims to solve an optimization problem on a network, while the other seeks to modify the network to thwart the first player's objectives. Such problems typically emerge in an attacker-defender context, encompassing areas such as military operations, disease spread analysis, and communication network management. The pri","authors":["Zhang, Lei","Chen, Zhiqian","Lu, Chang-Tien","Zhao, Liang"],"url":"https://arxiv.org/abs/2405.16409","arxiv_id":"2405.16409","published":"2026-04-21"}],"history":{"events":[{"year":2021,"text":"The Indonesian Navy submarine Nanggala imploded and sank in the Bali Sea, resulting in the deaths of all 53 people on board.","url":"https://en.wikipedia.org/wiki/Indonesian_Navy"},{"year":2014,"text":"The city of Flint, Michigan, U.S., changed its water source to the Flint River, which exposed residents to lead poisoning.a","url":"https://en.wikipedia.org/wiki/Flint%2C_Michigan"},{"year":2010,"text":"Ukraine and Russia signed the Kharkiv Pact, extending the Russian lease on naval facilities in Crimea.","url":"https://en.wikipedia.org/wiki/Kharkiv_Pact"},{"year":1975,"text":"South Vietnamese president Nguyễn Văn Thiệu resigned on hearing of the fall of Xuân Lộc, the last battle of the Vietnam War.","url":"https://en.wikipedia.org/wiki/South_Vietnam"},{"year":1970,"text":"In response to a dispute over wheat production quotas, Leonard Casley declared his 75 km2 (29 sq mi) farm in Western Australia to be an independent country as the Hutt River Province.","url":"https://en.wikipedia.org/wiki/Western_Australia"},{"year":1967,"text":"A violent tornado strikes multiple schools and destroys houses in Belvidere, Illinois, United States, causing over 450 casualties.","url":"https://en.wikipedia.org/wiki/1967_Belvidere_tornado"},{"year":1962,"text":"The Century 21 Exposition, the first world's fair in the United States since World War II, opened in Seattle.","url":"https://en.wikipedia.org/wiki/Century_21_Exposition"},{"year":1960,"text":"Brasília, a planned city primarily designed by architect and urban planner Lúcio Costa, was officially inaugurated, replacing Rio de Janeiro as the capital of Brazil.","url":"https://en.wikipedia.org/wiki/Bras%C3%ADlia"},{"year":1958,"text":"United Airlines Flight 736 collided with a U.S. Air Force fighter jet over southern Nevada, resulting in the deaths of all 49 people on board both aircraft.","url":"https://en.wikipedia.org/wiki/United_Air_Lines_Flight_736"},{"year":1836,"text":"Forces of the Republic of Texas led by Sam Houston defeated the Mexican troops of Antonio López de Santa Anna in the Battle of San Jacinto, the decisive and final battle of the Texas Revolution.","url":"https://en.wikipedia.org/wiki/Republic_of_Texas"},{"year":1789,"text":"The Ladies of Trenton social club hosted a reception for President-elect George Washington as he journeyed to New York City for his first inauguration.","url":"https://en.wikipedia.org/wiki/George_Washington's_reception_at_Trenton"},{"year":1725,"text":"J. S. Bach's cantata Bleib bei uns, denn es will Abend werden, was first performed on Easter Monday.","url":"https://en.wikipedia.org/wiki/Johann_Sebastian_Bach"},{"year":1615,"text":"The Wignacourt Aqueduct (pictured) in Malta was inaugurated, and was used to carry water to Valletta for about 300 years.","url":"https://en.wikipedia.org/wiki/Wignacourt_Aqueduct"},{"year":1526,"text":"Ibrahim Khan Lodi, the last ruler of the Lodi dynasty, was defeated and killed by Babur at the First Battle of Panipat, marking the beginning of Mughal rule in India.","url":"https://en.wikipedia.org/wiki/Ibrahim_Khan_Lodi"},{"year":995,"text":"Ælfric of Abingdon was appointed Archbishop of Canterbury.","url":"https://en.wikipedia.org/wiki/%C3%86lfric_of_Abingdon"},{"year":900,"text":"A debt was pardoned by the chief of Tondo on the island of Luzon and recorded on the Laguna Copperplate Inscription, the earliest known calendar-dated document found in the Philippines.","url":"https://en.wikipedia.org/wiki/Tondo_(historical_polity)"},{"year":-43,"text":"Forces led by Mark Antony fought the Battle of Mutina against those of Decimus Brutus, one of Julius Caesar's assassins.","url":"https://en.wikipedia.org/wiki/Mark_Antony"},{"year":-753,"text":"According to the calculations of the ancient Roman scholar Varro Reatinus, Romulus and Remus legendarily founded the city of Rome.","url":"https://en.wikipedia.org/wiki/750s_BC"}],"births":[{"year":2008,"text":"Hyein, South Korean singer","url":"https://en.wikipedia.org/wiki/Hyein"},{"year":2007,"text":"Princess Isabella of Denmark, daughter of King Frederik X and Queen Mary of Denmark","url":"https://en.wikipedia.org/wiki/Princess_Isabella_of_Denmark"},{"year":2003,"text":"Xavi Simons, Dutch footballer","url":"https://en.wikipedia.org/wiki/Xavi_Simons"},{"year":1999,"text":"Choi Hyun-suk, South Korean rapper","url":"https://en.wikipedia.org/wiki/Choi_Hyun-suk"},{"year":1998,"text":"Jarrett Allen, American basketball player","url":"https://en.wikipedia.org/wiki/Jarrett_Allen"},{"year":1997,"text":"Mikel Oyarzabal, Spanish footballer","url":"https://en.wikipedia.org/wiki/Mikel_Oyarzabal"},{"year":1996,"text":"Arianne Hartono, Dutch tennis player","url":"https://en.wikipedia.org/wiki/Arianne_Hartono"},{"year":1995,"text":"Ana Grozdanović, Serbian politician","url":"https://en.wikipedia.org/wiki/Ana_Grozdanovi%C4%87"}],"deaths":[{"year":2025,"text":"Pope Francis (born 1936)","url":"https://en.wikipedia.org/wiki/Pope_Francis"},{"year":2024,"text":"Terry A. Anderson, American journalist (born 1947)","url":"https://en.wikipedia.org/wiki/Terry_A._Anderson"},{"year":2019,"text":"Polly Higgins, Scottish barrister, author and environmental lobbyist (born 1968)","url":"https://en.wikipedia.org/wiki/Polly_Higgins"},{"year":2018,"text":"Nabi Tajima, Japanese supercentenarian (born 1900)","url":"https://en.wikipedia.org/wiki/Nabi_Tajima"},{"year":2017,"text":"Ugo Ehiogu, English footballer (born 1972)","url":"https://en.wikipedia.org/wiki/Ugo_Ehiogu"},{"year":2016,"text":"Prince, American singer-songwriter, guitarist, producer, and actor (born 1958)","url":"https://en.wikipedia.org/wiki/Prince_(musician)"},{"year":2014,"text":"George H. Heilmeier, American engineer (born 1936)","url":"https://en.wikipedia.org/wiki/George_H._Heilmeier"},{"year":2014,"text":"Win Tin, Burmese journalist and politician, co-founded the National League for Democracy (born 1930)","url":"https://en.wikipedia.org/wiki/Win_Tin"}]},"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."}