{"date":"2026-05-01","schema_version":1,"captured_at":"2026-08-25T23:07:00.695Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Nahui Ollin","views":816860,"rank":3,"extract":"Nahui Ollin is a 16th-century concept in Aztec/Mexica cosmology with a variety of meanings. 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AMA","points":212,"comments":250,"url":"https://news.ycombinator.com/item?id=47975676","discussion":"https://news.ycombinator.com/item?id=47975676"},{"title":"OpenWarp","points":209,"comments":148,"url":"https://openwarp.zerx.dev","discussion":"https://news.ycombinator.com/item?id=47970622"},{"title":"Flock cameras keep telling police a man who doesn't have a warrant has a warrant","points":192,"comments":145,"url":"https://www.youtube.com/watch?v=nHwxV0Sd9V8","discussion":"https://news.ycombinator.com/item?id=47977450"},{"title":"Lib0xc: A set of C standard library-adjacent APIs for safer systems programming","points":192,"comments":97,"url":"https://github.com/microsoft/lib0xc","discussion":"https://news.ycombinator.com/item?id=47978834"}],"research":[{"title":"Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER","abstract":"Manually annotated corpora for low-resource languages are usually small in quantity (gold), or large but distantly supervised (silver). Inspired by recent progress of injecting pre-trained language model (LM) on many Natural Language Processing (NLP) task, we proposed to fine-tune pre-trained language model from high-resources languages to low-resources languages to improve the performance of both scenarios. Our empi","authors":["Ikhwantri, Fariz"],"url":"https://arxiv.org/abs/1907.11158","arxiv_id":"1907.11158","published":"2026-05-01"},{"title":"Culture-inspired Multi-modal Color Palette Generation and Colorization: A Chinese Youth Subculture Case","abstract":"Color is an essential component of graphic design, acting not only as a visual factor but also carrying cultural implications. However, existing research on algorithmic color palette generation and colorization largely ignores the cultural aspect. In this paper, we contribute to this line of research by first constructing a unique color dataset inspired by a specific culture, i.e., Chinese Youth Subculture (CYS), whi","authors":["Li, Yufan","Zhuo, Jinggang","Fan, Ling","Wang, Harry Jiannan"],"url":"https://arxiv.org/abs/2102.05231","arxiv_id":"2102.05231","published":"2026-05-01"},{"title":"Querying Inconsistent Prioritized Data with ORBITS: Algorithms, Implementation, and Experiments","abstract":"We investigate practical algorithms for inconsistency-tolerant query answering over prioritized knowledge bases, which consist of a logical theory, a set of facts, and a priority relation between conflicting facts. We consider three well-known semantics (AR, IAR and brave) based upon two notions of optimal repairs (Pareto and completion). Deciding whether a query answer holds under these semantics is (co)NP-complete ","authors":["Bienvenu, Meghyn","Bourgaux, Camille"],"url":"https://arxiv.org/abs/2202.07980","arxiv_id":"2202.07980","published":"2026-05-01"},{"title":"Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses","abstract":"Recent advances in upper limb prostheses have led to significant improvements in the number of movements provided by the robotic limb. However, the method for controlling multiple degrees of freedom via user-generated signals remains challenging. To address this issue, various machine learning controllers have been developed to better predict movement intent. As these controllers become more intelligent and take on m","authors":["Dawson, Michael R.","Parker, Adam S. R.","Williams, Heather E.","Shehata, Ahmed W.","Hebert, Jacqueline S.","Chapman, Craig S."],"url":"https://arxiv.org/abs/2212.14124","arxiv_id":"2212.14124","published":"2026-05-01"},{"title":"Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations","abstract":"In this article we propose a new deep learning approach to approximate operators related to parametric partial differential equations (PDEs). In particular, we introduce a new strategy to design specific artificial neural network (ANN) architectures in conjunction with specific ANN initialization schemes which are tailor-made for the particular approximation problem under consideration. In the proposed approach we co","authors":["Jentzen, Arnulf","Riekert, Adrian","von Wurstemberger, Philippe"],"url":"https://arxiv.org/abs/2302.03286","arxiv_id":"2302.03286","published":"2026-05-01"},{"title":"Epistemic reflections on AI answering our questions: overwatch, erudite, logician, interlocutor","abstract":"Currently, there is a trend for the wider public to rely on LLMs for financial or legal consultation, medical and mental support (Chatterji et al., 2025), often accepting the advice provided without necessarily seeking logical verification or empirical validation. While one might be fortunate enough to encounter a model with a particularly solid 'ground truth' or with auxiliary logic-symbolic reasoning capabi","authors":["Hoorn, Johan F.","Oosterglorenwoud, Ella-Jenna"],"url":"https://arxiv.org/abs/2304.14352","arxiv_id":"2304.14352","published":"2026-05-01"},{"title":"Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems","abstract":"The paper surveys automated scientific discovery, from equation discovery and symbolic regression to autonomous discovery systems and agents. It discusses the individual approaches from a "big picture" perspective and in context, but also discusses open issues and recent topics like the various roles of deep neural networks in this area, aiding in the discovery of human-interpretable knowledge. Further, we wi","authors":["Kramer, Stefan","Cerrato, Mattia","Brugger, Jannis","Džeroski, Sašo","King, Ross"],"url":"https://arxiv.org/abs/2305.02251","arxiv_id":"2305.02251","published":"2026-05-01"},{"title":"FP-IRL: Fokker--Planck Inverse Reinforcement Learning -- A Physics-Constrained Approach to Markov Decision Processes","abstract":"Inverse reinforcement learning (IRL) is a powerful paradigm for uncovering the incentive structure that drives agent behavior, by inferring an unknown reward function from observed trajectories within a Markov decision process (MDP). However, most existing IRL methods require access to the transition function, either prescribed or estimated \\textit{a priori}, which poses significant challenges when the underlying dyn","authors":["Huang, Chengyang","Srivastava, Siddhartha","Ho, Kenneth K. Y.","Luker, Kathy E.","Luker, Gary D.","Huan, Xun"],"url":"https://arxiv.org/abs/2306.10407","arxiv_id":"2306.10407","published":"2026-05-01"},{"title":"Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack","abstract":"Deep neural networks (DNNs) have shown superior performance comparing to traditional image denoising algorithms. However, DNNs are inevitably vulnerable while facing adversarial attacks. In this paper, we propose an adversarial attack method named denoising-PGD which can successfully attack all the current deep denoising models while keep the noise distribution almost unchanged. We surprisingly find that the current ","authors":["Ning, Jie","Sun, Jiebao","Li, Yao","Guo, Zhichang","Zuo, Wangmeng"],"url":"https://arxiv.org/abs/2306.16050","arxiv_id":"2306.16050","published":"2026-05-01"},{"title":"League of Legends: Real-Time Result Prediction","abstract":"This paper presents a study on the prediction of outcomes in matches of the electronic game League of Legends (LoL) using machine learning techniques. With the aim of exploring the ability to predict real-time results, considering different variables and stages of the match, we highlight the use of unpublished data as a fundamental part of this process. With the increasing popularity of LoL and the emergence of tourn","authors":["Junior, Jailson B. S.","Campelo, Claudio E. C."],"url":"https://arxiv.org/abs/2309.02449","arxiv_id":"2309.02449","published":"2026-05-01"},{"title":"Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam","abstract":"Although Large Language Models (LLMs) represent a revolution in the way we interact with computers, allowing the construction of complex questions and the ability to reason over a sequence of statements, their use is restricted due to the need for dedicated hardware for execution. In this study, we evaluate the performance of LLMs based on the 7 and 13 billion LLaMA models, subjected to a quantization process and run","authors":["Santos, Matheus L. O.","Campelo, Cláudio E. C."],"url":"https://arxiv.org/abs/2309.12071","arxiv_id":"2309.12071","published":"2026-05-01"},{"title":"Deepfake audio as a data augmentation technique for training automatic speech to text transcription models","abstract":"To train transcriptor models that produce robust results, a large and diverse labeled dataset is required. Finding such data with the necessary characteristics is a challenging task, especially for languages less popular than English. Moreover, producing such data requires significant effort and often money. Therefore, a strategy to mitigate this problem is the use of data augmentation techniques. In this work, we pr","authors":["Ferreira, Alexandre R.","Campelo, Cláudio E. C."],"url":"https://arxiv.org/abs/2309.12802","arxiv_id":"2309.12802","published":"2026-05-01"},{"title":"Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs","abstract":"We present Junk DNA Hypothesis by adopting a novel task-centric angle for the pre-trained weights of large language models (LLMs). It has been believed that weights in LLMs contain significant redundancy, leading to the conception that a considerable chunk of the parameters can be removed by pruning without compromising performance. Contrary to this belief, this paper presents a counter-argument: small-magnitude weig","authors":["Yin, Lu","Jaiswal, Ajay","Liu, Shiwei","Kundu, Souvik","Wang, Zhangyang"],"url":"https://arxiv.org/abs/2310.02277","arxiv_id":"2310.02277","published":"2026-05-01"},{"title":"Dr. Jekyll and Mr. Hyde: Two Faces of LLMs","abstract":"Large Language Models (LLMs) are being integrated into applications such as chatbots or email assistants. To prevent improper responses, safety mechanisms, such as Reinforcement Learning from Human Feedback (RLHF), are implemented in them. In this work, we bypass these safety measures for ChatGPT, Gemini, and Deepseek by making them impersonate complex personas with personality characteristics that are not aligned wi","authors":["Collu, Matteo Gioele","Janssen-Groesbeek, Tom","Koffas, Stefanos","Conti, Mauro","Picek, Stjepan"],"url":"https://arxiv.org/abs/2312.03853","arxiv_id":"2312.03853","published":"2026-05-01"},{"title":"A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties","abstract":"Obtaining heteroscedastic predictive uncertainties from a Bayesian Neural Network (BNN) is vital to many applications. Often, heteroscedastic aleatoric uncertainties are learned as outputs of the BNN in addition to the predictive means, however doing so may necessitate adding more learnable parameters to the network. In this work, we demonstrate that both the heteroscedastic aleatoric and epistemic variance can be em","authors":["Schodt, David J.","Brown, Ryan","Merritt, Michael","Park, Samuel","Menolascino, Delsin","Peot, Mark A."],"url":"https://arxiv.org/abs/2402.14532","arxiv_id":"2402.14532","published":"2026-05-01"},{"title":"VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation","abstract":"Two-dimensional embeddings obtained from dimensionality reduction techniques such as MDS, t-SNE, or UMAP, are widely used to visualize high-dimensional data and support researchers in visually identifying clusters, outliers, and other interesting patterns in the data. However, the main challenge is not only to detect such patterns, but to explain what they represent in terms of the original, human-interpretable featu","authors":["Poličar, Pavlin G.","Zupan, Blaž"],"url":"https://arxiv.org/abs/2406.04808","arxiv_id":"2406.04808","published":"2026-05-01"},{"title":"Modeling Spatial Extremal Dependence of Precipitation Using Distributional Neural Networks","abstract":"In this work, we propose a simulation-based estimation approach using generative neural networks to determine dependencies of precipitation maxima and their underlying uncertainty in time and space. Within the common framework of max-stable processes for extremes under temporal and spatial dependence, our methodology allows estimating the process parameters and their respective uncertainty, but also delivers an expli","authors":["Bülte, Christopher","Leimenstoll, Lisa","Schienle, Melanie"],"url":"https://arxiv.org/abs/2407.08668","arxiv_id":"2407.08668","published":"2026-05-01"},{"title":"Effective Prompt Pool Learning for Continual Category Discovery","abstract":"This paper studies effective prompt pool learning for Continual Category Discovery (CCD), a challenging open-world setting where a model must discover novel categories from a continuous stream of unlabelled data containing both known and novel classes, while mitigating catastrophic forgetting of previously learned concepts. We introduce a series of novel prompt-pool-based frameworks for CCD, each exploring a differen","authors":["Cendra, Fernando Julio","Li, Xinghui","Han, Kai"],"url":"https://arxiv.org/abs/2407.19001","arxiv_id":"2407.19001","published":"2026-05-01"},{"title":"Visual Analysis of Multi-outcome Causal Graphs","abstract":"We introduce a visual analysis method for multiple causal graphs with different outcome variables, namely, multi-outcome causal graphs. Multi-outcome causal graphs are important in healthcare for understanding multimorbidity and comorbidity. To support the visual analysis, we collaborated with medical experts to devise two comparative visualization techniques at different stages of the analysis process. First, a prog","authors":["Fan, Mengjie","Yu, Jinlu","Weiskopf, Daniel","Cao, Nan","Wang, Huai-Yu","Zhou, Liang"],"url":"https://arxiv.org/abs/2408.02679","arxiv_id":"2408.02679","published":"2026-05-01"},{"title":"Semantic Variational Bayes Based on Semantic Information G Theory for Solving Latent Variables","abstract":"The Variational Bayesian method (VB) is used to solve the probability distributions of latent variables with the minimum free energy criterion. This criterion is not easy to understand, and the computation is complex. For these reasons, this paper proposes the Semantic Variational Bayes' method (SVB). The Semantic Information Theory the author previously proposed extends the rate-distortion function R(D) to the r","authors":["Lu, Chenguang"],"url":"https://arxiv.org/abs/2408.13122","arxiv_id":"2408.13122","published":"2026-05-01"},{"title":"Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery","abstract":"Neural backdoors represent insidious cybersecurity loopholes that render learning machinery vulnerable to unauthorised manipulations, potentially enabling the weaponisation of artificial intelligence with catastrophic consequences. A backdoor attack involves the clandestine infiltration of a trigger during the learning process, metaphorically analogous to hypnopaedia, where ideas are implanted into a subject's su","authors":["Chang, Ching-Chun","Gao, Kai","Xu, Shuying","Kordoni, Anastasia","Leckie, Christopher","Echizen, Isao"],"url":"https://arxiv.org/abs/2410.05284","arxiv_id":"2410.05284","published":"2026-05-01"},{"title":"Self-Supervised Learning for Real-World Object Detection: a Survey","abstract":"Self-Supervised Learning (SSL) has emerged as a promising approach in computer vision, enabling networks to learn meaningful representations from large unlabeled datasets. SSL methods fall into two main categories: instance discrimination and Masked Image Modeling (MIM). While instance discrimination is fundamental to SSL, it was originally designed for classification and may be less effective for object detection, p","authors":["Ciocarlan, Alina","Lefebvre, Sidonie","Hégarat-Mascle, Sylvie Le","Woiselle, Arnaud"],"url":"https://arxiv.org/abs/2410.07442","arxiv_id":"2410.07442","published":"2026-05-01"},{"title":"Performance-Driven QUBO for Recommender Systems on Quantum Annealers","abstract":"Quantum annealers offer a promising hardware platform for solving combinatorial optimization problems, especially those formulated as Quadratic Unconstrained Binary Optimization (QUBO). In this work, we propose PDQUBO (Performance-Driven Quadratic Unconstrained Binary Optimization), a QUBO-based feature selection method that is directly executable on quantum annealers. Unlike prior QUBO-based feature selection approa","authors":["Niu, Jiayang","Li, Jie","Deng, Ke","Sanderson, Mark","Ferro, Nicola","Ren, Yongli"],"url":"https://arxiv.org/abs/2410.15272","arxiv_id":"2410.15272","published":"2026-05-01"},{"title":"Unsupervised Machine Learning for Osteoporosis Diagnosis Using Singh Index Clustering on Hip Radiographs","abstract":"Osteoporosis, a prevalent condition among the aging population worldwide, is characterized by diminished bone mass and altered bone structure, increasing susceptibility to fractures. It poses a significant and growing global public health challenge over the next decade. Diagnosis typically involves Dual-energy X-ray absorptiometry to measure bone mineral density, yet its mass screening utility is limited. The Singh I","authors":["Kalavakonda, Vijaya","Madhivanan, Vimaladevi","Lal, Abhay","Rithika, Senthil","Subramaniam, Shamala Karupusamy","Sameer, Mohamed"],"url":"https://arxiv.org/abs/2411.15253","arxiv_id":"2411.15253","published":"2026-05-01"},{"title":"Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease","abstract":"Early diagnosis and discovery of therapeutic drug targets are crucial objectives for effective management of Alzheimer's Disease (AD). Current approaches for AD diagnosis and treatment planning are based on radiological imaging and largely inaccessible for population-level screening due to prohibitive costs and limited availability. Recently, blood tests have shown promise in diagnosing AD and highlighting possib","authors":["Khalid, Maryam","Khan, Fadeel Sher","Broussard, John","Barman, Arko"],"url":"https://arxiv.org/abs/2411.18796","arxiv_id":"2411.18796","published":"2026-05-01"}],"history":{"events":[{"year":2016,"text":"The evacuation of nearly 88,000 people began when a wildfire swept through Fort McMurray, Alberta, Canada, and burned for another 14 months, becoming the costliest disaster in Canadian history.","url":"https://en.wikipedia.org/wiki/2016_Fort_McMurray_wildfire"},{"year":2010,"text":"Faisal Shahzad attempted to detonate a car bomb in Times Square, New York City, but it failed to explode.","url":"https://en.wikipedia.org/wiki/Faisal_Shahzad"},{"year":2002,"text":"The Horncastle boar's head (pictured), which probably once formed part of the crest of an Anglo-Saxon helmet, was found.","url":"https://en.wikipedia.org/wiki/Horncastle_boar's_head"},{"year":1991,"text":"In Major League Baseball, Rickey Henderson broke the record for stolen bases on the same night that Nolan Ryan broke his own record for no-hitters.","url":"https://en.wikipedia.org/wiki/Major_League_Baseball"},{"year":1974,"text":"Argentine president Juan Perón expelled Montoneros from a demonstration in the Plaza de Mayo in Buenos Aires, forcing the group to become a clandestine organization.","url":"https://en.wikipedia.org/wiki/Juan_Per%C3%B3n"},{"year":1950,"text":"Gwendolyn Brooks became the first African American to receive the Pulitzer Prize for Poetry.","url":"https://en.wikipedia.org/wiki/Gwendolyn_Brooks"},{"year":1947,"text":"Sicilian separatist Salvatore Giuliano and his gang fired into a crowd of May Day marchers near Piana degli Albanesi, Sicily, killing 11 and wounding 33.","url":"https://en.wikipedia.org/wiki/Salvatore_Giuliano"},{"year":1945,"text":"Second World War: British and Indian forces conducted a successful airborne assault on a Japanese artillery battery during the advance to liberate Rangoon, Burma.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1941,"text":"Citizen Kane, a widely acclaimed film by actor and director Orson Welles, premiered.","url":"https://en.wikipedia.org/wiki/Citizen_Kane"},{"year":1931,"text":"New York City's Empire State Building (pictured), at the time the tallest building in the world, opened.","url":"https://en.wikipedia.org/wiki/Empire_State_Building"},{"year":1900,"text":"A dust explosion at a coal mine near Scofield, Utah, U.S., killed at least 200 miners.","url":"https://en.wikipedia.org/wiki/Dust_explosion"},{"year":1897,"text":"The Ramakrishna Mission was founded by Swami Vivekananda to serve as the humanitarian counterpart to the Hindu monastic order Ramakrishna Math.","url":"https://en.wikipedia.org/wiki/Ramakrishna_Mission"},{"year":1885,"text":"The original Chicago Board of Trade Building opened for business.","url":"https://en.wikipedia.org/wiki/Chicago_Board_of_Trade_Building"},{"year":1884,"text":"Moses Fleetwood Walker (pictured), the last African American in Major League Baseball until Jackie Robinson, played his first game for the Toledo Blue Stockings.","url":"https://en.wikipedia.org/wiki/Moses_Fleetwood_Walker"},{"year":1794,"text":"War of the Pyrenees: France regained nearly all the land it lost to Spain the previous year with its victory in the Second Battle of Boulou.","url":"https://en.wikipedia.org/wiki/War_of_the_Pyrenees"},{"year":1786,"text":"The Marriage of Figaro (audio featured), an opera buffa by Wolfgang Amadeus Mozart, premiered at the Burgtheater in Vienna.","url":"https://en.wikipedia.org/wiki/The_Marriage_of_Figaro"},{"year":1707,"text":"Under the terms of the Acts of Union, the Kingdoms of England and Scotland merged to form the Kingdom of Great Britain, with a single parliament and government based in Westminster.","url":"https://en.wikipedia.org/wiki/Acts_of_Union_1707"},{"year":1699,"text":"Francis Nicholson and James Blair organize five May Day orations given by students of the College of William & Mary, leading to the establishment of Williamsburg as Virginia's new capital.","url":"https://en.wikipedia.org/wiki/Francis_Nicholson"}],"births":[{"year":2006,"text":"Lewis Miley, English footballer","url":"https://en.wikipedia.org/wiki/Lewis_Miley"},{"year":2005,"text":"Linda Fruhvirtová, Czech tennis player","url":"https://en.wikipedia.org/wiki/Linda_Fruhvirtov%C3%A1"},{"year":2004,"text":"Charli D'Amelio, American social media influencer and dancer","url":"https://en.wikipedia.org/wiki/Charli_D'Amelio"},{"year":2003,"text":"Lizzy Greene, American actress","url":"https://en.wikipedia.org/wiki/Lizzy_Greene"},{"year":2002,"text":"Chet Holmgren, American basketball player","url":"https://en.wikipedia.org/wiki/Chet_Holmgren"},{"year":2000,"text":"Rema, Nigerian singer-songwriter and rapper","url":"https://en.wikipedia.org/wiki/Rema_(musician)"},{"year":1999,"text":"YNW Melly, American rapper","url":"https://en.wikipedia.org/wiki/YNW_Melly"},{"year":1999,"text":"Tiffany Stratton, American wrestler","url":"https://en.wikipedia.org/wiki/Tiffany_Stratton"}],"deaths":[{"year":2023,"text":"Gordon Lightfoot, Canadian singer-songwriter and guitarist (born 1938)","url":"https://en.wikipedia.org/wiki/Gordon_Lightfoot"},{"year":2021,"text":"Olympia Dukakis, American actress (born 1931)","url":"https://en.wikipedia.org/wiki/Olympia_Dukakis"},{"year":2015,"text":"Geoff Duke, English-Manx motorcycle racer (born 1923)","url":"https://en.wikipedia.org/wiki/Geoff_Duke"},{"year":2015,"text":"Vafa Guluzade, Azerbaijani political scientist, academic, and diplomat (born 1940)","url":"https://en.wikipedia.org/wiki/Vafa_Guluzade"},{"year":2015,"text":"María Elena Velasco, Mexican actress, singer, director, and screenwriter (born 1940)","url":"https://en.wikipedia.org/wiki/Mar%C3%ADa_Elena_Velasco"},{"year":2015,"text":"Grace Lee Whitney, American actress (born 1930)","url":"https://en.wikipedia.org/wiki/Grace_Lee_Whitney"},{"year":2014,"text":"Adamu Atta, Nigerian lawyer and politician, 5th Governor of Kwara State (born 1927)","url":"https://en.wikipedia.org/wiki/Adamu_Atta"},{"year":2014,"text":"Radhia Cousot, French computer scientist and academic (born 1947)","url":"https://en.wikipedia.org/wiki/Radhia_Cousot"}]},"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 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