{"date":"2026-07-30","schema_version":1,"captured_at":"2026-08-25T23:17:59.955Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":17},"attention":[{"title":"Spider-Man: Brand New Day","views":660682,"rank":4,"extract":"Spider-Man: Brand New Day is a 2026 American superhero film based on the Marvel Comics character Spider-Man. Produced by Columbia Pictures, Marvel Studios, and Pascal Pictures, and distributed by Sony Pictures Releasing, it is the 38th film in the Marvel Cinem","url":"https://en.wikipedia.org/wiki/Spider-Man%3A_Brand_New_Day","thumb":"https://upload.wikimedia.org/wikipedia/en/9/9a/Spider-Man_Brand_New_Day_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Glen Hansard","views":657637,"rank":5,"extract":"Glen James Hansard was an Irish singer-songwriter and actor. From Ballymun in northern Dublin, he busked from his teens. 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Her films have grossed over $6.8 billion worldwide.","url":"https://en.wikipedia.org/wiki/Anne_Hathaway","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/da/Anne_Hathaway-_Press_conference_for_the_film_%22The_Devil_Wears_Prada_2%22_-_55194764955_%28cropped%29.jpg/330px-Anne_Hathaway-_Press_conference_for_the_film_%22The_Devil_Wears_Prada_2%22_-_55194764955_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Bernie Moreno","views":56812,"rank":38,"extract":"Bernardo Francisco Moreno Mejía is an American politician and businessman serving since 2025 as the senior United States senator from Ohio. 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Now, Old Results Don't Add Up","points":236,"comments":179,"url":"https://www.quantamagazine.org/physicists-solve-a-muon-mystery-now-old-results-dont-add-up-20260729/","discussion":"https://news.ycombinator.com/item?id=49111305"},{"title":"Why is everyone trying to build a solid-state battery?","points":233,"comments":314,"url":"https://www.construction-physics.com/p/why-is-everyone-trying-to-build-a","discussion":"https://news.ycombinator.com/item?id=49109193"},{"title":"“Gravity is worth asking about”","points":228,"comments":146,"url":"https://unsung.aresluna.org/gravity-is-worth-asking-about/","discussion":"https://news.ycombinator.com/item?id=49105978"},{"title":"Upper stage impacting the moon on 2026 August 5","points":220,"comments":82,"url":"https://www.projectpluto.com/25010d.htm","discussion":"https://news.ycombinator.com/item?id=49109616"},{"title":"Logic for Programmers","points":217,"comments":47,"url":"https://logicforprogrammers.com/","discussion":"https://news.ycombinator.com/item?id=49104937"},{"title":"The lost civic life of movie rental stores","points":214,"comments":275,"url":"https://thereader.mitpress.mit.edu/the-lost-civic-life-of-movie-rental-stores/","discussion":"https://news.ycombinator.com/item?id=49110308"},{"title":"Holocloth","points":207,"comments":38,"url":"https://holocloth.vercel.app","discussion":"https://news.ycombinator.com/item?id=49116917"},{"title":"CodePen 2.0","points":193,"comments":53,"url":"https://chriscoyier.net/2026/07/30/codepen-2-0/","discussion":"https://news.ycombinator.com/item?id=49113338"}],"research":[{"title":"Glyce: Glyph-vectors for Chinese Character Representations","abstract":"It is intuitive that NLP tasks for logographic languages like Chinese should benefit from the use of the glyph information in those languages. However, due to the lack of rich pictographic evidence in glyphs and the weak generalization ability of standard computer vision models on character data, an effective way to utilize the glyph information remains to be found. In this paper, we address this gap by presenting Gl","authors":["Meng, Yuxian","Wu, Wei","Wang, Fei","Li, Xiaoya","Nie, Ping","Yin, Fan"],"url":"https://arxiv.org/abs/1901.10125","arxiv_id":"1901.10125","published":"2026-07-30"},{"title":"Entity-Relation Extraction as Multi-Turn Question Answering","abstract":"In this paper, we propose a new paradigm for the task of entity-relation extraction. We cast the task as a multi-turn question answering problem, i.e., the extraction of entities and relations is transformed to the task of identifying answer spans from the context. This multi-turn QA formalization comes with several key advantages: firstly, the question query encodes important information for the entity/relation clas","authors":["Li, Xiaoya","Yin, Fan","Sun, Zijun","Li, Xiayu","Yuan, Arianna","Wang, Guoyin"],"url":"https://arxiv.org/abs/1905.05529","arxiv_id":"1905.05529","published":"2026-07-30"},{"title":"A Unified MRC Framework for Named Entity Recognition","abstract":"The task of named entity recognition (NER) is normally divided into nested NER and flat NER depending on whether named entities are nested or not. Models are usually separately developed for the two tasks, since sequence labeling models, the most widely used backbone for flat NER, are only able to assign a single label to a particular token, which is unsuitable for nested NER where a token may be assigned several lab","authors":["Li, Xiaoya","Feng, Jingrong","Meng, Yuxian","Han, Qinghong","Wang, Guoyin","Wu, Fei"],"url":"https://arxiv.org/abs/1910.11476","arxiv_id":"1910.11476","published":"2026-07-30"},{"title":"Dice Loss for Data-imbalanced NLP Tasks","abstract":"Many NLP tasks such as tagging and machine reading comprehension are faced with the severe data imbalance issue: negative examples significantly outnumber positive examples, and the huge number of background examples (or easy-negative examples) overwhelms the training. The most commonly used cross entropy (CE) criteria is actually an accuracy-oriented objective, and thus creates a discrepancy between training and tes","authors":["Li, Xiaoya","Sun, Xiaofei","Meng, Yuxian","Wang, Guoyin","Liang, Junjun","Wu, Fei"],"url":"https://arxiv.org/abs/1911.02855","arxiv_id":"1911.02855","published":"2026-07-30"},{"title":"ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information","abstract":"Recent pretraining models in Chinese neglect two important aspects specific to the Chinese language: glyph and pinyin, which carry significant syntax and semantic information for language understanding. In this work, we propose ChineseBERT, which incorporates both the {\\it glyph} and {\\it pinyin} information of Chinese characters into language model pretraining. The glyph embedding is obtained based on different font","authors":["Sun, Zijun","Li, Xiaoya","Sun, Xiaofei","Meng, Yuxian","Wang, Guoyin","Ao, Xiang"],"url":"https://arxiv.org/abs/2106.16038","arxiv_id":"2106.16038","published":"2026-07-30"},{"title":"An effective hybrid search algorithm for the multiple traveling repairman problem with profits","abstract":"As an extension of the traveling repairman problem with profits, the multiple traveling repairman problem with profits consists of multiple repairmen who visit a subset of all customers to maximize the revenues collected through the visited customers. To solve this challenging problem, an effective hybrid search algorithm based on the memetic algorithm framework is proposed. It integrates two distinguished features: ","authors":["Ren, Jintong","Hao, Jin-Kao","Wu, Feng","Fu, Zhang-Hua"],"url":"https://arxiv.org/abs/2111.05017","arxiv_id":"2111.05017","published":"2026-07-30"},{"title":"Differentially Private Permutation Tests","abstract":"Recent years have witnessed growing concerns about the privacy of sensitive data. In response to these concerns, differential privacy has emerged as a rigorous framework for privacy protection, gaining widespread recognition in both academic and industrial circles. While substantial progress has been made in private data analysis, existing methods often suffer from impracticality or a significant loss of statistical ","authors":["Kim, Ilmun","Schrab, Antonin"],"url":"https://arxiv.org/abs/2310.19043","arxiv_id":"2310.19043","published":"2026-07-30"},{"title":"The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography","abstract":"The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, and outcome of serious neurovascular diseases. However, characterizing the highly variable CoW anatomy remains a manual and time-consuming expert task. The CoW is commonly imaged by two non-invasive angiographic imaging modalities, magnetic r","authors":["Yang, Kaiyuan","Musio, Fabio","Ma, Yihui","Juchler, Norman","Paetzold, Johannes C.","Al-Maskari, Rami"],"url":"https://arxiv.org/abs/2312.17670","arxiv_id":"2312.17670","published":"2026-07-30"},{"title":"One-for-many Counterfactual Explanations by Column Generation","abstract":"In this paper, we consider the problem of generating a set of counterfactual explanations for a group of instances, with the one-for-many allocation rule, where one explanation is allocated to a subgroup of the instances. For the first time, we solve the problem of minimizing the number of explanations needed to explain all the instances, while considering sparsity by limiting the number of features allowed to be cha","authors":["Lodi, Andrea","Ramírez-Ayerbe, Jasone"],"url":"https://arxiv.org/abs/2402.09473","arxiv_id":"2402.09473","published":"2026-07-30"},{"title":"Neural Network Assisted Lifting Steps For Improved Fully Scalable Lossy Image Compression in JPEG 2000","abstract":"This work proposes to augment the lifting steps of the conventional wavelet transform with additional neural network assisted lifting steps. These additional steps reduce residual redundancy (notably aliasing information) amongst the wavelet subbands, and also improve the visual quality of reconstructed images at reduced resolutions. The proposed approach involves two steps, a high-to-low step followed by a low-to-hi","authors":["Li, Xinyue","Naman, Aous","Taubman, David"],"url":"https://arxiv.org/abs/2403.01647","arxiv_id":"2403.01647","published":"2026-07-30"},{"title":"Adaptive Multilevel Neural Networks for Parametric PDEs with Error Estimation","abstract":"To solve high-dimensional parameter-dependent partial differential equations (pPDEs), a neural network architecture is presented. It is constructed to map parameters of the model data to corresponding finite element solutions. To improve training efficiency and to enable control of the approximation error, the network mimics an adaptive finite element method (AFEM). It outputs a coarse grid solution and a series of c","authors":["Schütte, Janina E.","Eigel, Martin"],"url":"https://arxiv.org/abs/2403.12650","arxiv_id":"2403.12650","published":"2026-07-30"},{"title":"Caption-Matching: A Multimodal Approach for Cross-Domain Image Retrieval","abstract":"Cross-Domain Image Retrieval (CDIR) is a challenging task in computer vision, aiming to match images across different visual domains such as sketches, paintings, and photographs. Existing CDIR methods rely either on supervised learning with labeled cross-domain correspondences or on methods that require training or fine-tuning on target datasets, often struggling with substantial domain gaps and limited generalizatio","authors":["Iijima, Lucas","Giakoumoglou, Nikos","Stathaki, Tania"],"url":"https://arxiv.org/abs/2403.15152","arxiv_id":"2403.15152","published":"2026-07-30"},{"title":"Fast and Adaptive Questionnaires for Voting Advice Applications","abstract":"The effectiveness of Voting Advice Applications (VAA) is often compromised by the length of their questionnaires. To address user fatigue and incomplete responses, some applications (such as the Swiss Smartvote) offer a condensed version of their questionnaire. However, these condensed versions can not ensure the accuracy of recommended parties or candidates, which we show to remain below 40%. To tackle these limitat","authors":["Bachmann, Fynn","Sarasua, Cristina","Bernstein, Abraham"],"url":"https://arxiv.org/abs/2404.01872","arxiv_id":"2404.01872","published":"2026-07-30"},{"title":"A Review on Discriminative Self-supervised Learning Methods in Computer Vision","abstract":"Self-supervised learning (SSL) has rapidly emerged as a transformative approach in computer vision, enabling the extraction of rich feature representations from vast amounts of unlabeled data and reducing reliance on costly manual annotations. This review presents a comprehensive analysis of discriminative SSL methods, which focus on learning representations by solving pretext tasks that do not require human labels. ","authors":["Giakoumoglou, Nikos","Stathaki, Tania","Gkelias, Athanasios"],"url":"https://arxiv.org/abs/2405.04969","arxiv_id":"2405.04969","published":"2026-07-30"},{"title":"Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing","abstract":"Testing for individual discrimination involves deriving a profile, the comparator, similar to the one making the discrimination claim, the complainant, based on a protected attribute, such as race or gender, and comparing their decision outcomes. The complainant-comparator pair is central to discrimination testing. Most discrimination testing tools rely on this pair to establish evidence for discrimination. In this w","authors":["Alvarez, Jose M.","Ruggieri, Salvatore"],"url":"https://arxiv.org/abs/2405.13693","arxiv_id":"2405.13693","published":"2026-07-30"},{"title":"Pushing the Frontier on Approximate EFX Allocations","abstract":"We study the problem of allocating a set of indivisible goods to a set of agents with additive valuation functions, aiming to achieve approximate envy-freeness up to any good ($α$-EFX). The state-of-the-art results on the problem include that (exact) EFX allocations exist when (a) there are at most three agents, or (b) the agents' valuation functions can take at most two values, or (c) the agents' valuation f","authors":["Amanatidis, Georgios","Filos-Ratsikas, Aris","Sgouritsa, Alkmini"],"url":"https://arxiv.org/abs/2406.12413","arxiv_id":"2406.12413","published":"2026-07-30"},{"title":"Testing network clustering algorithms with Natural Language Processing","abstract":"The advent of online social networks has led to the development of an abundant literature on the study of online social groups and their relationship to individuals' personalities as revealed by their textual productions. Social structures are inferred from a wide range of social interactions. Those interactions form complex -- sometimes multi-layered -- networks, on which community detection algorithms are appli","authors":["Achitouv, Ixandra","Chavalarias, David","Gaume, Bruno"],"url":"https://arxiv.org/abs/2406.17135","arxiv_id":"2406.17135","published":"2026-07-30"},{"title":"Relational Representation Distillation","abstract":"Knowledge distillation involves transferring knowledge from large, cumbersome teacher models to more compact student models. The standard approach minimizes the Kullback-Leibler (KL) divergence between the probabilistic outputs of a teacher and student network. However, this approach fails to capture important structural relationships in the teacher's internal representations. Recent advances have turned to contr","authors":["Giakoumoglou, Nikos","Stathaki, Tania"],"url":"https://arxiv.org/abs/2407.12073","arxiv_id":"2407.12073","published":"2026-07-30"},{"title":"Particle-Filtering-based Latent Diffusion for Inverse Problems","abstract":"Current strategies for solving image-based inverse problems apply latent diffusion models to perform posterior sampling.However, almost all approaches make no explicit attempt to explore the solution space, instead drawing only a single sample from a Gaussian distribution from which to generate their solution. In this paper, we introduce a particle-filtering-based framework for a nonlinear exploration of the solution","authors":["Nazemi, Amir","Sepanj, Mohammad Hadi","Pellegrino, Nicholas","Czarnecki, Chris","Fieguth, Paul"],"url":"https://arxiv.org/abs/2408.13868","arxiv_id":"2408.13868","published":"2026-07-30"},{"title":"One-Frame Calibration with Siamese Network in Facial Action Unit Recognition","abstract":"Automatic facial action unit (AU) recognition is used widely in facial expression analysis. Most existing AU recognition systems aim for cross-participant non-calibrated generalization (NCG) to unseen faces without further calibration. However, due to the diversity of facial attributes across different identities, accurately inferring AU activation from single images of an unseen face is sometimes infeasible, even fo","authors":["Feng, Shuangquan","de Sa, Virginia R."],"url":"https://arxiv.org/abs/2409.00240","arxiv_id":"2409.00240","published":"2026-07-30"},{"title":"MEDIC: Comprehensive Evaluation of Leading Indicators for LLM Safety and Utility in Clinical Applications","abstract":"While Large Language Models (LLMs) achieve superhuman performance on standardized medical licensing exams, these static benchmarks have become saturated and increasingly disconnected from the functional requirements of clinical workflows. To bridge the gap between theoretical capability and verified utility, we introduce MEDIC, a comprehensive evaluation framework establishing leading indicators of clinical LLM compe","authors":["Kanithi, Praveenkumar","Christophe, Clément","Pimentel, Marco AF","Raha, Tathagata","Munjal, Prateek","Saadi, Nada"],"url":"https://arxiv.org/abs/2409.07314","arxiv_id":"2409.07314","published":"2026-07-30"},{"title":"Self-Contrastive Forward-Forward Algorithm","abstract":"Agents that operate autonomously benefit from lifelong learning capabilities. However, compatible training algorithms must comply with the decentralized nature of these systems, which imposes constraints on both the parameter counts and the computational resources. The Forward-Forward (FF) algorithm is one of these. FF relies only on feedforward operations, the same used for inference, for optimizing layer-wise objec","authors":["Chen, Xing","Liu, Dongshu","Laydevant, Jeremie","Grollier, Julie"],"url":"https://arxiv.org/abs/2409.11593","arxiv_id":"2409.11593","published":"2026-07-30"},{"title":"SynCo: Synthetic Hard Negatives for Contrastive Visual Representation Learning","abstract":"Contrastive learning has become a dominant approach in self-supervised visual representation learning, but efficiently leveraging hard negatives, which are samples closely resembling the anchor, remains challenging. We introduce SynCo (Synthetic negatives in Contrastive learning), a novel approach that improves model performance by generating synthetic hard negatives on the representation space. Building on the MoCo ","authors":["Giakoumoglou, Nikos","Stathaki, Tania"],"url":"https://arxiv.org/abs/2410.02401","arxiv_id":"2410.02401","published":"2026-07-30"},{"title":"Physics-Informed Graph Neural Networks for Robust AC-Optimal Power Flow","abstract":"We present PINCO, an unsupervised learning framework that integrates Graph Neural Networks with physics-informed neural networks for AC optimal power flow (AC-OPF) solutions. Unlike state-of-the-art unsupervised methods that require prescreened datasets containing only feasible instances, our approach operates on unfiltered data, including ill-conditioned cases. The framework addresses two critical gaps in the litera","authors":["Varbella, Anna","Briens, Damien","Gjorgiev, Blazhe","D'Inverno, Giuseppe Alessio","Donti, Priya L.","Sansavini, Giovanni"],"url":"https://arxiv.org/abs/2410.04818","arxiv_id":"2410.04818","published":"2026-07-30"},{"title":"Distilling Invariant Representations with Dual Augmentation","abstract":"Knowledge distillation (KD) has been widely used to transfer knowledge from large, accurate models (teachers) to smaller, efficient ones (students). Recent methods have explored enforcing consistency by incorporating causal interpretations to distill invariant representations. In this work, we extend this line of research by introducing a dual augmentation strategy to promote invariant feature learning in both teache","authors":["Giakoumoglou, Nikos","Stathaki, Tania"],"url":"https://arxiv.org/abs/2410.09474","arxiv_id":"2410.09474","published":"2026-07-30"}],"history":{"events":[{"year":2026,"text":"An avalanche on Broad Peak in Pakistan kills 10 climbers.","url":"https://en.wikipedia.org/wiki/2026_Broad_Peak_avalanche"},{"year":2023,"text":"In Pakistan, IS–KP kill over 60 people in a suicide bombing at a political rally in Khar.","url":"https://en.wikipedia.org/wiki/Islamic_State_%E2%80%93_Khorasan_Province"},{"year":2018,"text":"Emmerson Mnangagwa (pictured) was elected to his first full term as president, having served as leader since the 2017 Zimbabwean coup d'état.","url":"https://en.wikipedia.org/wiki/Emmerson_Mnangagwa"},{"year":2014,"text":"More than 150 people died after heavy rains triggered a landslide in the village of Malin in Maharashtra, India.","url":"https://en.wikipedia.org/wiki/2014_Malin_landslide"},{"year":2012,"text":"A train fire killed 32 passengers and injured 27 on the Tamil Nadu Express in Andhra Pradesh, India.","url":"https://en.wikipedia.org/wiki/Nellore_train_fire"},{"year":2006,"text":"Lebanon War: The Israeli Air Force attacked a three-story building near the Lebanese village of Qana, killing at least 28 civilians, including 16 children.","url":"https://en.wikipedia.org/wiki/2006_Lebanon_War"},{"year":1990,"text":"British Conservative member of Parliament Ian Gow was killed outside his home in a car bombing by the Provisional Irish Republican Army.","url":"https://en.wikipedia.org/wiki/Conservative_Party_(UK)"},{"year":1981,"text":"Amid a widespread economic crisis and food shortages in Poland, up to 50,000 people, mostly women and children, took part in the largest of nationwide hunger demonstrations in Łódź.","url":"https://en.wikipedia.org/wiki/1981_Polish_hunger_demonstrations"},{"year":1975,"text":"American labor-union leader Jimmy Hoffa disappeared after last being seen outside a restaurant near Detroit.","url":"https://en.wikipedia.org/wiki/Jimmy_Hoffa"},{"year":1966,"text":"In London, the England national football team won the FIFA World Cup, winning the final against West Germany 4–2 after extra time.","url":"https://en.wikipedia.org/wiki/England_national_football_team"},{"year":1950,"text":"At the height of a political crisis known as the royal question, four workers were shot dead by the Belgian Gendarmerie at a strike in Grâce-Berleur.","url":"https://en.wikipedia.org/wiki/Royal_question"},{"year":1930,"text":"In Montevideo, the Uruguay national football team (team pictured) won the inaugural FIFA World Cup, defeating Argentina 4–2 in the final.","url":"https://en.wikipedia.org/wiki/Montevideo"},{"year":1916,"text":"World War I: German agents sabotaged U.S.-made munitions in New York Harbor that were to be supplied to the Allies.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1871,"text":"The boiler of the Staten Island Ferry Westfield II exploded at South Ferry in New York City, killing at least 45 people.","url":"https://en.wikipedia.org/wiki/Staten_Island_Ferry"},{"year":1865,"text":"Off the coast of Crescent City, California, the steamer Brother Jonathan struck an uncharted rock and sank, killing 225 people; its cargo of gold coins was not retrieved until 1996.","url":"https://en.wikipedia.org/wiki/Crescent_City%2C_California"},{"year":1811,"text":"Miguel Hidalgo y Costilla (depicted), a leader of the Mexican War of Independence, was executed by Spanish forces in Chihuahua City, Mexico.","url":"https://en.wikipedia.org/wiki/Miguel_Hidalgo_y_Costilla"},{"year":1724,"text":"Bach's chorale cantata Wo Gott der Herr nicht bei uns hält, a paraphrase of Psalm 124 based on a 1524 hymn by Justus Jonas, was first performed in Leipzig.","url":"https://en.wikipedia.org/wiki/Johann_Sebastian_Bach"}],"births":[{"year":1999,"text":"Joey King, American actress","url":"https://en.wikipedia.org/wiki/Joey_King"},{"year":1999,"text":"Tom Pidcock, professional cyclist and Olympian","url":"https://en.wikipedia.org/wiki/Tom_Pidcock"},{"year":1996,"text":"Nina Stojanović, Serbian tennis player","url":"https://en.wikipedia.org/wiki/Nina_Stojanovi%C4%87"},{"year":1996,"text":"Dylan Larkin, American hockey player","url":"https://en.wikipedia.org/wiki/Dylan_Larkin"},{"year":1996,"text":"Ariel Atkins, American basketball player","url":"https://en.wikipedia.org/wiki/Ariel_Atkins"},{"year":1995,"text":"Hirving Lozano, Mexican footballer","url":"https://en.wikipedia.org/wiki/Hirving_Lozano"},{"year":1994,"text":"Nelydia Senrose, Malaysian actress","url":"https://en.wikipedia.org/wiki/Nelydia_Senrose"},{"year":1993,"text":"Jake Faria, American baseball player","url":"https://en.wikipedia.org/wiki/Jake_Faria"}],"deaths":[{"year":2025,"text":"David Argue, Australian actor (born 1959)","url":"https://en.wikipedia.org/wiki/David_Argue"},{"year":2025,"text":"George Nigh, American politician, 17th and 22nd Governor of Oklahoma (born 1927)","url":"https://en.wikipedia.org/wiki/George_Nigh"},{"year":2024,"text":"Onyeka Onwenu, Nigerian singer, actress and politician (born 1952)","url":"https://en.wikipedia.org/wiki/Onyeka_Onwenu"},{"year":2023,"text":"Paul Reubens, American actor and comedian (born 1952)","url":"https://en.wikipedia.org/wiki/Paul_Reubens"},{"year":2022,"text":"Pat Carroll, American actress and comedian (born 1927)","url":"https://en.wikipedia.org/wiki/Pat_Carroll"},{"year":2022,"text":"Nichelle Nichols, American actress, singer and dancer (born 1932)","url":"https://en.wikipedia.org/wiki/Nichelle_Nichols"},{"year":2021,"text":"Shona Ferguson, Botswana-born, South African actor and executive producer (born 1974)","url":"https://en.wikipedia.org/wiki/Shona_Ferguson"},{"year":2020,"text":"Lee Teng-hui, Taiwanese politician, President (1988–2000), Vice President (1984–1988) and mayor of Taipei (1978–1981) (born 1923)","url":"https://en.wikipedia.org/wiki/Lee_Teng-hui"}]},"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."}