{"date":"2026-03-30","schema_version":1,"captured_at":"2026-08-25T23:34:46.267Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":17},"attention":[{"title":"Dhurandhar: The Revenge","views":476129,"rank":3,"extract":"Dhurandhar: The Revenge is a 2026 Indian Hindi-language spy action-thriller film written and directed by Aditya Dhar. It is produced by Dhar, Lokesh Dhar, and Jyoti Deshpande under Jio Studios and B62 Studios. 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that spy harder than the apps they ban","points":683,"comments":281,"url":"https://www.sambent.com/the-white-house-app-has-huawei-spyware-and-an-ice-tip-line/","discussion":"https://news.ycombinator.com/item?id=47577761"},{"title":"CodingFont: A game to help you pick a coding font","points":499,"comments":239,"url":"https://www.codingfont.com/","discussion":"https://news.ycombinator.com/item?id=47575403"},{"title":"Philly courts will ban all smart eyeglasses starting next week","points":416,"comments":210,"url":"https://www.inquirer.com/news/philadelphia/smart-glasses-ai-meta-courts-20260326.html","discussion":"https://news.ycombinator.com/item?id=47569471"},{"title":"Turning a MacBook into a touchscreen with $1 of hardware (2018)","points":408,"comments":234,"url":"https://anishathalye.com/macbook-touchscreen/","discussion":"https://news.ycombinator.com/item?id=47578572"},{"title":"How the AI Bubble 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destroyed in just four episodes","points":216,"comments":263,"url":"https://eco3min.fr/en/us-inflation-is-not-linear/","discussion":"https://news.ycombinator.com/item?id=47575089"},{"title":"Take better notes, by hand","points":214,"comments":99,"url":"https://brianschrader.com/archive/take-better-notes-by-hand/","discussion":"https://news.ycombinator.com/item?id=47576317"},{"title":"Show HN: CLI to order groceries via reverse-engineered REWE API (Haskell)","points":205,"comments":85,"url":"https://github.com/yannick-cw/korb","discussion":"https://news.ycombinator.com/item?id=47571183"}],"research":[{"title":"Weakly Supervised Learning for Facial Affective Behavior Analysis : A Review","abstract":"Recent advances in deep learning (DL) and computational capacity have enabled facial affective behavior analysis (FABA) to progress from static images captured in controlled settings to fine-grained analysis of facial expressions in real-world video data. However, training accurate DL models for FABA typically requires large-scale, expert-annotated datasets, which are costly to obtain and inherently noisy due to the ","authors":["Praveen, R. Gnana","Cardinal, Patrick","Granger, Eric"],"url":"https://arxiv.org/abs/2101.09858","arxiv_id":"2101.09858","published":"2026-03-30"},{"title":"Does Audio Deepfake Detection Generalize?","abstract":"Current text-to-speech algorithms produce realistic fakes of human voices, making deepfake detection a much-needed area of research. While researchers have presented various techniques for detecting audio spoofs, it is often unclear exactly why these architectures are successful: Preprocessing steps, hyperparameter settings, and the degree of fine-tuning are not consistent across related work. Which factors contribut","authors":["Müller, Nicolas M.","Czempin, Pavel","Dieckmann, Franziska","Froghyar, Adam","Böttinger, Konstantin"],"url":"https://arxiv.org/abs/2203.16263","arxiv_id":"2203.16263","published":"2026-03-30"},{"title":"Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning","abstract":"Balancing exploration and exploitation has been an important problem in both game tree search and automated planning. However, while the problem has been extensively analyzed within the Multi-Armed Bandit (MAB) literature, the planning community has had limited success when attempting to apply those results. We show that a more detailed theoretical understanding of MAB literature helps improve existing planning algor","authors":["Wissow, Stephen","Asai, Masataro"],"url":"https://arxiv.org/abs/2305.09840","arxiv_id":"2305.09840","published":"2026-03-30"},{"title":"Distance Functions and Normalization Under Stream Scenarios","abstract":"Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially challenging since we may not know in advance the properties of the features, such as their minimum/maximum values, and these properties may change over time. We compare the accuracies generated by eight well-known distance functions in data streams without normalization,","authors":["Barboza, Eduardo V. L.","de Almeida, Paulo R. Lisboa","Britto Jr, Alceu de Souza","Cruz, Rafael M. O."],"url":"https://arxiv.org/abs/2307.00106","arxiv_id":"2307.00106","published":"2026-03-30"},{"title":"Evaluating Neural Language Models as Cognitive Models of Language Acquisition","abstract":"The success of neural language models (LMs) on many technological tasks has brought about their potential relevance as scientific theories of language despite some clear differences between LM training and child language acquisition. In this paper we argue that some of the most prominent benchmarks for evaluating the syntactic capacities of LMs may not be sufficiently rigorous. In particular, we show that the templat","authors":["Martínez, Héctor Javier Vázquez","Heuser, Annika Lea","Yang, Charles","Kodner, Jordan"],"url":"https://arxiv.org/abs/2310.20093","arxiv_id":"2310.20093","published":"2026-03-30"},{"title":"CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization","abstract":"Trajectory Optimization (TO) and Reinforcement Learning (RL) are powerful and complementary tools to solve optimal control problems. On the one hand, TO can efficiently compute locally-optimal solutions, but it tends to get stuck in local minima if the problem is not convex. On the other hand, RL is typically less sensitive to non-convexity, but it requires a much higher computational effort. Recently, we have propos","authors":["Alboni, Elisa","Grandesso, Gianluigi","Papini, Gastone Pietro Rosati","Carpentier, Justin","Del Prete, Andrea"],"url":"https://arxiv.org/abs/2312.10666","arxiv_id":"2312.10666","published":"2026-03-30"},{"title":"Putting Context in Context: the Impact of Discussion Structure on Text Classification","abstract":"Current text classification approaches usually focus on the content to be classified. Contextual aspects (both linguistic and extra-linguistic) are usually neglected, even in tasks based on online discussions. Still in many cases the multi-party and multi-turn nature of the context from which these elements are selected can be fruitfully exploited. In this work, we propose a series of experiments on a large dataset f","authors":["Penzo, Nicolò","Longa, Antonio","Lepri, Bruno","Tonelli, Sara","Guerini, Marco"],"url":"https://arxiv.org/abs/2402.02975","arxiv_id":"2402.02975","published":"2026-03-30"},{"title":"Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations","abstract":"This paper provides rigorous error bounds for physics-informed neural networks approximating the semilinear wave equation. We provide bounds for the generalization and training error in terms of the width of the network's layers and the number of training points for a tanh neural network with two hidden layers. Our main result is a bound of the total error in the $H^1([0,T];L^2(Ω))$-norm in terms of the training ","authors":["Lorenz, Beatrice","Bacho, Aras","Kutyniok, Gitta"],"url":"https://arxiv.org/abs/2402.07153","arxiv_id":"2402.07153","published":"2026-03-30"},{"title":"U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models","abstract":"Diffusion models have demonstrated remarkable performance in text-to-image synthesis, producing realistic and high resolution images that faithfully adhere to the corresponding text-prompts. Despite their great success, they still fall behind in sketch-to-image synthesis tasks, where in addition to text-prompts, the spatial layout of the generated images has to closely follow the outlines of certain reference sketche","authors":["Mitsouras, Ilias","Tsonis, Eleftherios","Tzouveli, Paraskevi","Voulodimos, Athanasios"],"url":"https://arxiv.org/abs/2403.18425","arxiv_id":"2403.18425","published":"2026-03-30"},{"title":"The Inefficiency of Genetic Programming for Symbolic Regression","abstract":"We analyse the search behaviour of genetic programming for symbolic regression in practically relevant but limited settings, allowing exhaustive enumeration of all solutions. This enables us to quantify the success probability of finding the best possible expressions, and to compare the search efficiency of genetic programming to random search in the space of semantically unique expressions. This analysis is made pos","authors":["Kronberger, Gabriel","de Franca, Fabricio Olivetti","Desmond, Harry","Bartlett, Deaglan J.","Kammerer, Lukas"],"url":"https://arxiv.org/abs/2404.17292","arxiv_id":"2404.17292","published":"2026-03-30"},{"title":"Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly","abstract":"Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial manufacturing. While existing VAU benchmarks primarily concentrate on anomaly detection and localization, our focus is on more practicality, prompting us to raise the following crucial questions: "what anomaly occurred?", "why d","authors":["Du, Hang","Zhang, Sicheng","Xie, Binzhu","Nan, Guoshun","Zhang, Jiayang","Xu, Junrui"],"url":"https://arxiv.org/abs/2405.00181","arxiv_id":"2405.00181","published":"2026-03-30"},{"title":"AMFD: Distillation via Adaptive Multimodal Fusion for Multispectral Pedestrian Detection","abstract":"Multispectral pedestrian detection has been shown to be effective in improving performance within complex illumination scenarios. However, prevalent double-stream networks in multispectral detection employ two separate feature extraction branches for multi-modal data, leading to nearly double the inference time compared to single-stream networks utilizing only one feature extraction branch. This increased inference t","authors":["Chen, Zizhao","Qian, Yeqiang","Yang, Xiaoxiao","Wang, Chunxiang","Yang, Ming"],"url":"https://arxiv.org/abs/2405.12944","arxiv_id":"2405.12944","published":"2026-03-30"},{"title":"Extreme Value Monte Carlo Tree Search for Classical Planning","abstract":"Despite being successful in board games and reinforcement learning (RL), Monte Carlo Tree Search (MCTS) combined with Multi Armed Bandits (MABs) has seen limited success in domain-independent classical planning until recently. Previous work (Wissow and Asai 2024) showed that UCB1, designed for bounded rewards, does not perform well as applied to cost-to-go estimates in classical planning, which are unbounded in $\\R$,","authors":["Asai, Masataro","Wissow, Stephen"],"url":"https://arxiv.org/abs/2405.18248","arxiv_id":"2405.18248","published":"2026-03-30"},{"title":"Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients","abstract":"We propose a novel deep symbolic regression approach to enhance the robustness and interpretability of data-driven mathematical expression discovery. Our work is aligned with the popular DSR framework which focuses on learning a data-specific expression generator, without relying on pretrained models or additional search or planning procedures. Despite the success of existing DSR methods, they are built on recurrent ","authors":["Bastiani, Zachary","Kirby, Robert M.","Hochhalter, Jacob","Zhe, Shandian"],"url":"https://arxiv.org/abs/2406.06751","arxiv_id":"2406.06751","published":"2026-03-30"},{"title":"QPT V2: Masked Image Modeling Advances Visual Scoring","abstract":"Quality assessment and aesthetics assessment aim to evaluate the perceived quality and aesthetics of visual content. Current learning-based methods suffer greatly from the scarcity of labeled data and usually perform sub-optimally in terms of generalization. Although masked image modeling (MIM) has achieved noteworthy advancements across various high-level tasks (e.g., classification, detection etc.). In this work, w","authors":["Xie, Qizhi","Yuan, Kun","Qu, Yunpeng","Wu, Mingda","Sun, Ming","Zhou, Chao"],"url":"https://arxiv.org/abs/2407.16541","arxiv_id":"2407.16541","published":"2026-03-30"},{"title":"Towards Knowledge Guided Pretraining Approaches for Multimodal Foundation Models: Applications in Remote Sensing","abstract":"Self-supervised learning has emerged as a powerful paradigm for pretraining foundation models using large-scale data. Existing pretraining approaches predominantly rely on masked reconstruction or next-token prediction strategies, demonstrating strong performance across various downstream tasks, including geoscience applications. However, these approaches do not fully capture the knowledge of causal interplay between","authors":["Ravirathinam, Praveen","Parthasarathy, Ajitesh","Khandelwal, Ankush","Ghosh, Rahul","Kumar, Vipin"],"url":"https://arxiv.org/abs/2407.19660","arxiv_id":"2407.19660","published":"2026-03-30"},{"title":"Equivariant neural networks and piecewise linear representation theory","abstract":"Equivariant neural networks are neural networks with symmetry. Motivated by the theory of group representations, we decompose the layers of an equivariant neural network into simple representations. The nonlinear activation functions lead to interesting nonlinear equivariant maps between simple representations. For example, the rectified linear unit (ReLU) gives rise to piecewise linear maps. We show that these consi","authors":["Gibson, Joel","Tubbenhauer, Daniel","Williamson, Geordie"],"url":"https://arxiv.org/abs/2408.00949","arxiv_id":"2408.00949","published":"2026-03-30"},{"title":"CGRA4ML: A Hardware/Software Framework to Implement Neural Networks for Scientific Edge Computing","abstract":"The scientific community increasingly relies on machine learning (ML) for near-sensor processing, leveraging its strengths in tasks such as pattern recognition, anomaly detection, and real-time decision-making. These deployments demand accelerators that combine extremely high performance with programmability, ease of integration, and straightforward verification. We present cgra4ml, an open-source, modular framework ","authors":["Abarajithan, G","Ma, Zhenghua","Munasinghe, Ravidu","Restuccia, Francesco","Kastner, Ryan"],"url":"https://arxiv.org/abs/2408.15561","arxiv_id":"2408.15561","published":"2026-03-30"},{"title":"Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations","abstract":"Assessing the performance of systems to classify Multi-Party Conversations (MPC) is challenging due to the interconnection between linguistic and structural characteristics of conversations. Conventional evaluation methods often overlook variances in model behavior across different levels of structural complexity on interaction graphs. In this work, we propose a methodological pipeline to investigate model performanc","authors":["Penzo, Nicolò","Sajedinia, Maryam","Lepri, Bruno","Tonelli, Sara","Guerini, Marco"],"url":"https://arxiv.org/abs/2409.18602","arxiv_id":"2409.18602","published":"2026-03-30"},{"title":"Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks","abstract":"Large language models (LLMs) excel in natural language generation but often confidently produce incorrect responses, especially in tasks like mathematical reasoning. Chain-of-thought prompting, self-verification, and multi-agent debate are among the strategies proposed to improve the reasoning and factual accuracy of LLMs. Building on Du et al.'s multi-agent debate framework, we find that multi-agent debate helps","authors":["Hegazy, Mahmood"],"url":"https://arxiv.org/abs/2410.12853","arxiv_id":"2410.12853","published":"2026-03-30"},{"title":"ReMe: Scaffolding Personalized Cognitive Training via Controllable LLM-Mediated Conversations","abstract":"Global aging calls for scalable and engaging cognitive interventions. Computerized cognitive training (CCT) is a promising non-pharmacological approach, yet many unsupervised programs rely on rigid, hand-authored puzzles that are difficult to personalize and can hinder adherence. Large language models (LLMs) offer more natural interaction, but their open-ended generation complicates the controlled task structure requ","authors":["Wang, Zilong","Chen, Nan","Qiu, Luna K.","Yue, Ling","Guo, Geli","Ou, Yang"],"url":"https://arxiv.org/abs/2410.19733","arxiv_id":"2410.19733","published":"2026-03-30"},{"title":"Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics","abstract":"The rapid adoption of electric vehicles (EVs) in modern transport systems has made energy-aware routing a critical task in their successful integration, especially within large-scale transport networks. In cases where an EV's remaining energy is limited and charging locations are not easily accessible, some destinations may only be reachable through an energy-optimal path: a route that consumes less energy than a","authors":["Ahmadi, Saman","Tack, Guido","Harabor, Daniel","Kilby, Philip","Jalili, Mahdi"],"url":"https://arxiv.org/abs/2411.12964","arxiv_id":"2411.12964","published":"2026-03-30"},{"title":"Editable-DeepSC: Reliable Cross-Modal Semantic Communications for Facial Editing","abstract":"Interactive computer vision (CV) plays a crucial role in various real-world applications, whose performance is highly dependent on communication networks. Nonetheless, the data-oriented characteristics of conventional communications often do not align with the special needs of interactive CV tasks. To alleviate this issue, the recently emerged semantic communications only transmit task-related semantic information an","authors":["Chen, Bin","Yu, Wenbo","Zhang, Qinshan","Zhuang, Tianqu","Wu, Hao","Jiang, Yong"],"url":"https://arxiv.org/abs/2411.15702","arxiv_id":"2411.15702","published":"2026-03-30"},{"title":"Nonmyopic Global Optimisation via Approximate Dynamic Programming","abstract":"Global optimisation to optimise expensive-to-evaluate black-box functions without gradient information. Bayesian optimisation, one of the most well-known techniques, typically employs Gaussian processes as surrogate models, leveraging their probabilistic nature to balance exploration and exploitation. However, these processes become computationally prohibitive in high-dimensional spaces. Recent alternatives, based on","authors":["Airaldi, Filippo","De Schutter, Bart","Dabiri, Azita"],"url":"https://arxiv.org/abs/2412.04882","arxiv_id":"2412.04882","published":"2026-03-30"},{"title":"Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models","abstract":"This paper introduces foundational resources and models for natural language processing (NLP) of historical Turkish, a domain that has remained underexplored in computational linguistics. We present the first named entity recognition (NER) dataset, HisTR, and the first Universal Dependencies treebank, OTA-BOUN, for a historical form of the Turkish language along with transformer-based models trained using these datas","authors":["Özateş, Şaziye Betül","Tıraş, Tarık Emre","Adak, Ece Elif","Doğan, Berat","Karagöz, Fatih Burak","Genç, Efe Eren"],"url":"https://arxiv.org/abs/2501.04828","arxiv_id":"2501.04828","published":"2026-03-30"}],"history":{"events":[{"year":2023,"text":"Donald Trump became the first former U.S. president to be indicted by a grand jury.","url":"https://en.wikipedia.org/wiki/Donald_Trump"},{"year":2009,"text":"The Manawan Police Academy in Lahore, Pakistan, was attacked and held for several hours by 12 gunmen, resulting in 16 deaths and 95 injuries.","url":"https://en.wikipedia.org/wiki/Lahore"},{"year":2002,"text":"Queen Elizabeth The Queen Mother, widow of King George VI and mother of Queen Elizabeth II, died at Royal Lodge aged 101.","url":"https://en.wikipedia.org/wiki/Queen_Elizabeth_the_Queen_Mother"},{"year":1977,"text":"Annie Hall had its first screening at the LA Film Festival; it was voted the funniest screenplay ever by members of the Writers Guild of America.","url":"https://en.wikipedia.org/wiki/Annie_Hall"},{"year":1972,"text":"Vietnam War: North Vietnamese forces began the Easter Offensive in an attempt to gain as much territory and destroy as many South Vietnamese units as possible.","url":"https://en.wikipedia.org/wiki/Vietnam_War"},{"year":1964,"text":"Jeopardy!, the popular American game show created by Merv Griffin, made its debut on the NBC television network.","url":"https://en.wikipedia.org/wiki/Jeopardy!"},{"year":1950,"text":"Usmar Ismail began shooting Darah dan Doa, widely recognised as the first Indonesian film.","url":"https://en.wikipedia.org/wiki/Usmar_Ismail"},{"year":1921,"text":"The Australian Air Corps was disbanded, to be replaced the following day by the Australian Air Force.","url":"https://en.wikipedia.org/wiki/Australian_Air_Corps"},{"year":1918,"text":"Four days of inter-ethnic clashes broke out in Baku, Azerbaijan, resulting in about 12,000 deaths.","url":"https://en.wikipedia.org/wiki/March_Days"},{"year":1912,"text":"Sultan Abd al-Hafid signed the Treaty of Fes, making Morocco a French protectorate.","url":"https://en.wikipedia.org/wiki/Abd_al-Hafid_of_Morocco"},{"year":1867,"text":"U.S. secretary of state William H. Seward negotiated the purchase of Alaska from Russia for US$7.2 million.","url":"https://en.wikipedia.org/wiki/William_H._Seward"},{"year":1863,"text":"George I (pictured) became King of the Hellenes.","url":"https://en.wikipedia.org/wiki/George_I_of_Greece"},{"year":1861,"text":"British chemist William Crookes published his discovery of thallium using flame spectroscopy.","url":"https://en.wikipedia.org/wiki/William_Crookes"},{"year":1822,"text":"The United States merged East Florida and West Florida to create the Florida Territory.","url":"https://en.wikipedia.org/wiki/East_Florida"},{"year":1815,"text":"Joachim Murat, King of Naples, issued the Rimini Proclamation, among the earliest calls for Italian unification.","url":"https://en.wikipedia.org/wiki/Joachim_Murat"},{"year":1730,"text":"The Author's Farce, by Henry Fielding, premiered at the Little Theatre in London.","url":"https://en.wikipedia.org/wiki/The_Author's_Farce"},{"year":1282,"text":"Sicilians began to rebel against the rule of the Angevin King Charles I of Naples, starting the War of the Sicilian Vespers.","url":"https://en.wikipedia.org/wiki/Sicilian_Vespers"}],"births":[{"year":2001,"text":"Anastasia Potapova, Russian tennis player","url":"https://en.wikipedia.org/wiki/Anastasia_Potapova"},{"year":2000,"text":"Colton Herta, American race car driver","url":"https://en.wikipedia.org/wiki/Colton_Herta"},{"year":1998,"text":"Kalyn Ponga, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Kalyn_Ponga"},{"year":1997,"text":"Cha Eun-woo, South Korean singer, actor, and model","url":"https://en.wikipedia.org/wiki/Cha_Eun-woo"},{"year":1996,"text":"Ryan Noda, American baseball player","url":"https://en.wikipedia.org/wiki/Ryan_Noda"},{"year":1995,"text":"Zay Jones, American football player","url":"https://en.wikipedia.org/wiki/Zay_Jones"},{"year":1994,"text":"Alex Bregman, American baseball player","url":"https://en.wikipedia.org/wiki/Alex_Bregman"},{"year":1994,"text":"Jetro Willems, Dutch footballer","url":"https://en.wikipedia.org/wiki/Jetro_Willems"}],"deaths":[{"year":2026,"text":"Chan Santokhi, Surinamese politician, 9th President of Suriname (born 1959)","url":"https://en.wikipedia.org/wiki/Chan_Santokhi"},{"year":2024,"text":"Tim McGovern, American visual effects artist (born 1955)","url":"https://en.wikipedia.org/wiki/Tim_McGovern"},{"year":2024,"text":"Chance Perdomo, British-American actor (born 1996)","url":"https://en.wikipedia.org/wiki/Chance_Perdomo"},{"year":2023,"text":"Doug Mulray, Australian radio and television host (born 1951)","url":"https://en.wikipedia.org/wiki/Doug_Mulray"},{"year":2021,"text":"G. Gordon Liddy, chief operative in the Watergate scandal (born 1930)","url":"https://en.wikipedia.org/wiki/G._Gordon_Liddy"},{"year":2021,"text":"Myra Frances, British actress (born 1942)","url":"https://en.wikipedia.org/wiki/Myra_Frances"},{"year":2020,"text":"Manolis Glezos, Greek left-wing politician, journalist, author, and folk hero (born 1922)","url":"https://en.wikipedia.org/wiki/Manolis_Glezos"},{"year":2020,"text":"Bill Withers, American singer-songwriter (born 1938)","url":"https://en.wikipedia.org/wiki/Bill_Withers"}]},"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."}