{"date":"2026-01-06","schema_version":1,"captured_at":"2026-08-25T23:22:12.444Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Nicolás Maduro","views":711934,"rank":3,"extract":"Nicolás Maduro Moros is a Venezuelan politician and former union leader who served as the 53rd president of Venezuela from 2013 until his capture during the United States intervention in Venezuela in 2026 for alleged drug trafficking to which he pleaded not gu","url":"https://en.wikipedia.org/wiki/Nicol%C3%A1s_Maduro","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Nicol%C3%A1s_Maduro_2016_crop.jpg/330px-Nicol%C3%A1s_Maduro_2016_crop.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 United States intervention in Venezuela","views":345285,"rank":4,"extract":"On 3 January 2026, the United States launched a military strike in Venezuela and captured incumbent Venezuelan president Nicolás Maduro and his wife, Cilia Flores. The US operation, codenamed Operation Absolute Resolve, began around 2 a.m. local time, when exp","url":"https://en.wikipedia.org/wiki/2026_United_States_intervention_in_Venezuela","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/7c/P20260103MR-0139_President_Donald_Trump%2C_CIA_Director_John_Ratcliffe_and_Secretary_of_State_Marco_Rubio_monitor_U.S._military_operations_in_Venezuela.jpg/330px-P20260103MR-0139_President_Donald_Trump%2C_CIA_Director_John_Ratcliffe_and_Secretary_of_State_Marco_Rubio_monitor_U.S._military_operations_in_Venezuela.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Venezuela","views":334576,"rank":5,"extract":"Venezuela, officially the Bolivarian Republic of Venezuela, is a country on the northern coast of South America, consisting of a continental landmass and various islands and islets in the Caribbean Sea. 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It is based on the 2022 novel by Freida McFadden, and stars Sydney Sweeney and Amanda Seyfried. 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We then show how to use those generic bounds for upper bounding the differential entropy of Gaussian mixture models. This requires to calculate the raw moments and raw absolute moments of Gaussian mixtures in closed-form that may also be handy","authors":["Nielsen, Frank","Nock, Richard"],"url":"https://arxiv.org/abs/1612.02954","arxiv_id":"1612.02954","published":"2026-01-06"},{"title":"BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks","abstract":"Handwritten document-image binarization is a semantic segmentation process to differentiate ink pixels from background pixels. It is one of the essential steps towards character recognition, writer identification, and script-style evolution analysis. The binarization task itself is challenging due to the vast diversity of writing styles, inks, and paper materials. It is even more difficult for historical manuscripts ","authors":["Dhali, Maruf A.","de Wit, Jan Willem","Schomaker, Lambert"],"url":"https://arxiv.org/abs/1911.07930","arxiv_id":"1911.07930","published":"2026-01-06"},{"title":"Modelling of daily reference evapotranspiration using deep neural network in different climates","abstract":"Precise and reliable estimation of reference evapotranspiration (ET o ) is an essential for the irrigation and water resources management. ET o is difficult to predict due to its complex processes. This complexity can be solved using machine learning methods. This study investigates the performance of artificial neural network (ANN) and deep neural network (DNN) models for estimating daily ET o . Previously proposed ","authors":["Özgür, Atilla","Yamaç, Sevim Seda"],"url":"https://arxiv.org/abs/2006.01760","arxiv_id":"2006.01760","published":"2026-01-06"},{"title":"Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia","abstract":"Online community moderators often rely on social signals such as whether or not a user has an account or a profile page as clues that users may cause problems. Reliance on these clues can lead to "overprofiling'' bias when moderators focus on these signals but overlook the misbehavior of others. We propose that algorithmic flagging systems deployed to improve the efficiency of moderation work can also mak","authors":["TeBlunthuis, Nathan","Hill, Benjamin Mako","Halfaker, Aaron"],"url":"https://arxiv.org/abs/2006.03121","arxiv_id":"2006.03121","published":"2026-01-06"},{"title":"Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks","abstract":"This work proposes a hybrid Brain Computer Interface system for the automation of a wheelchair for the disabled. Herein a working prototype of a BCI-based wheelchair is detailed that can navigate inside a typical home environment with minimum structural modification and without any visual obstruction and discomfort to the user. The prototype is based on a combined mechanism of steady-state visually evoked potential a","authors":["Kanungo, Lizy","Garg, Nikhil","Bhobe, Anish","Rajguru, Smit","Baths, Veeky"],"url":"https://arxiv.org/abs/2106.11008","arxiv_id":"2106.11008","published":"2026-01-06"},{"title":"On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference","abstract":"Pairwise causal background knowledge about the existence or absence of causal edges and paths is frequently encountered in observational studies. Such constraints allow the shared directed and undirected edges in the constrained subclass of Markov equivalent DAGs to be represented as a causal maximally partially directed acyclic graph (MPDAG). In this paper, we first provide a sound and complete graphical characteriz","authors":["Fang, Zhuangyan","Zhao, Ruiqi","Liu, Yue","He, Yangbo"],"url":"https://arxiv.org/abs/2207.05067","arxiv_id":"2207.05067","published":"2026-01-06"},{"title":"MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information","abstract":"In various practical situations, matrix factorization methods suffer from poor data quality, such as high data sparsity and low signal-to-noise ratio (SNR). Here, we consider a matrix factorization problem by utilizing auxiliary information, which is massively available in real-world applications, to overcome the challenges caused by poor data quality. Unlike existing methods that mainly rely on simple linear models ","authors":["Wang, Zhiwei","Zhang, Fa","Zheng, Cong","Hu, Xianghong","Cai, Mingxuan","Yang, Can"],"url":"https://arxiv.org/abs/2303.02566","arxiv_id":"2303.02566","published":"2026-01-06"},{"title":"Mem-Rec: Memory Efficient Recommendation System using Alternative Representation","abstract":"Deep learning-based recommendation systems (e.g., DLRMs) are widely used AI models to provide high-quality personalized recommendations. Training data used for modern recommendation systems commonly includes categorical features taking on tens-of-millions of possible distinct values. These categorical tokens are typically assigned learned vector representations, that are stored in large embedding tables, on the order","authors":["Jha, Gopi Krishna","Thomas, Anthony","Jain, Nilesh","Gobriel, Sameh","Rosing, Tajana","Iyer, Ravi"],"url":"https://arxiv.org/abs/2305.07205","arxiv_id":"2305.07205","published":"2026-01-06"},{"title":"GRACE: Discriminator-Guided Chain-of-Thought Reasoning","abstract":"In the context of multi-step reasoning, e.g., with chain-of-thought, language models (LMs) can easily assign a high likelihood to incorrect steps. As a result, decoding strategies that optimize for solution likelihood often yield incorrect solutions. To address this issue, we propose Guiding chain-of-thought ReAsoning with a CorrectnEss Discriminator (GRACE), a stepwise decoding approach that steers the decoding proc","authors":["Khalifa, Muhammad","Logeswaran, Lajanugen","Lee, Moontae","Lee, Honglak","Wang, Lu"],"url":"https://arxiv.org/abs/2305.14934","arxiv_id":"2305.14934","published":"2026-01-06"},{"title":"Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision","abstract":"Computer vision (CV), a non-intrusive and cost-effective technology, has furthered the development of precision livestock farming by enabling optimized decision-making through timely and individualized animal care. The availability of affordable two- and three-dimensional camera sensors, combined with various machine learning and deep learning algorithms, has provided a valuable opportunity to improve livestock produ","authors":["Wang, Jin","Hu, Yu","Xiang, Lirong","Morota, Gota","Brooks, Samantha A.","Wickens, Carissa L."],"url":"https://arxiv.org/abs/2307.14487","arxiv_id":"2307.14487","published":"2026-01-06"},{"title":"COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability","abstract":"Recently, neural network (NN)-based image compression studies have actively been made and has shown impressive performance in comparison to traditional methods. However, most of the works have focused on non-scalable image compression (single-layer coding) while spatially scalable image compression has drawn less attention although it has many applications. In this paper, we propose a novel NN-based spatially scalabl","authors":["Park, Jongmin","Lee, Jooyoung","Kim, Munchurl"],"url":"https://arxiv.org/abs/2309.07926","arxiv_id":"2309.07926","published":"2026-01-06"},{"title":"Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation","abstract":"Seal-related tasks in document processing-such as seal segmentation, authenticity verification, seal removal, and text recognition under seals-hold substantial commercial importance. However, progress in these areas has been hindered by the scarcity of labeled document seal datasets, which are essential for supervised learning. To address this limitation, we propose Seal2Real, a novel generative framework designed to","authors":["Yan, Mingfu","Huang, Jiancheng","Chen, Shifeng"],"url":"https://arxiv.org/abs/2310.00546","arxiv_id":"2310.00546","published":"2026-01-06"},{"title":"ETDock: A Novel Equivariant Transformer for Protein-Ligand Docking","abstract":"Predicting the docking between proteins and ligands is a crucial and challenging task for drug discovery. However, traditional docking methods mainly rely on scoring functions, and deep learning-based docking approaches usually neglect the 3D spatial information of proteins and ligands, as well as the graph-level features of ligands, which limits their performance. To address these limitations, we propose an equivari","authors":["Yi, Yiqiang","Wan, Xu","Bian, Yatao","Ou-Yang, Le","Zhao, Peilin"],"url":"https://arxiv.org/abs/2310.08061","arxiv_id":"2310.08061","published":"2026-01-06"},{"title":"From Optimization to Control: Quasi Policy Iteration","abstract":"Recent control algorithms for Markov decision processes (MDPs) have been designed using an implicit analogy with well-established optimization algorithms. In this paper, we adopt the quasi-Newton method (QNM) from convex optimization to introduce a novel control algorithm coined as quasi-policy iteration (QPI). In particular, QPI is based on a novel approximation of the ``Hessian'' matrix in the policy iterat","authors":["Kolarijani, Mohammad Amin Sharifi","Esfahani, Peyman Mohajerin"],"url":"https://arxiv.org/abs/2311.11166","arxiv_id":"2311.11166","published":"2026-01-06"},{"title":"Context-aware Decoding Reduces Hallucination in Query-focused Summarization","abstract":"Query-focused summarization (QFS) aims to provide a summary of a single document/multi documents that can satisfy the information needs of a given query. It is useful for various real-world applications, such as abstractive snippet generation or more recent retrieval augmented generation (RAG). A prototypical QFS pipeline consists of a retriever (sparse or dense retrieval) and a generator (usually a large language mo","authors":["Xu, Zhichao"],"url":"https://arxiv.org/abs/2312.14335","arxiv_id":"2312.14335","published":"2026-01-06"},{"title":"Sample Path Regularity of Gaussian Processes from the Covariance Kernel","abstract":"Gaussian processes (GPs) are the most common formalism for defining probability distributions over spaces of functions. While applications of GPs are myriad, a comprehensive understanding of GP sample paths, i.e. the function spaces over which they define a probability measure, is lacking. In practice, GPs are not constructed through a probability measure, but instead through a mean function and a covariance kernel. ","authors":["Da Costa, Nathaël","Pförtner, Marvin","Da Costa, Lancelot","Hennig, Philipp"],"url":"https://arxiv.org/abs/2312.14886","arxiv_id":"2312.14886","published":"2026-01-06"},{"title":"Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports","abstract":"Reasoning over sports videos for question answering is an important task with numerous applications, such as player training and information retrieval. However, this task has not been explored due to the lack of relevant datasets and the challenging nature it presents. Most datasets for video question answering (VideoQA) focus mainly on general and coarse-grained understanding of daily-life videos, which is not appli","authors":["Li, Haopeng","Deng, Andong","Liu, Jun","Rahmani, Hossein","Guo, Yulan","Schiele, Bernt"],"url":"https://arxiv.org/abs/2401.01505","arxiv_id":"2401.01505","published":"2026-01-06"},{"title":"Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering","abstract":"While significant advancements have been made in video question answering (VideoQA), the potential benefits of enhancing model generalization through tailored difficulty scheduling have been largely overlooked in existing research. This paper seeks to bridge that gap by incorporating VideoQA into a curriculum learning (CL) framework that progressively trains models from simpler to more complex data. Recognizing that ","authors":["Li, Haopeng","Bennamoun, Mohammed","Liu, Jun","Rahmani, Hossein","Ke, Qiuhong"],"url":"https://arxiv.org/abs/2401.01510","arxiv_id":"2401.01510","published":"2026-01-06"},{"title":"HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization","abstract":"Domain Generalization (DG) endeavors to create machine learning models that excel in unseen scenarios by learning invariant features. In DG, the prevalent practice of constraining models to a fixed structure or uniform parameterization to encapsulate invariant features can inadvertently blend specific aspects. Such an approach struggles with nuanced differentiation of inter-domain variations and may exhibit bias towa","authors":["Zhou, Guanglin","Han, Zhongyi","Chen, Shiming","Huang, Biwei","Zhu, Liming","Liu, Tongliang"],"url":"https://arxiv.org/abs/2401.09716","arxiv_id":"2401.09716","published":"2026-01-06"},{"title":"Beyond Expectations: Learning with Stochastic Dominance Made Practical","abstract":"Stochastic dominance serves as a general framework for modeling a broad spectrum of decision preferences under uncertainty, with risk aversion as one notable example, as it naturally captures the intrinsic structure of the underlying uncertainty, in contrast to simply resorting to the expectations. Despite theoretical appeal, the application of stochastic dominance in machine learning has been scarce, due to the foll","authors":["Cen, Shicong","Mei, Jincheng","Dai, Hanjun","Schuurmans, Dale","Chi, Yuejie","Dai, Bo"],"url":"https://arxiv.org/abs/2402.02698","arxiv_id":"2402.02698","published":"2026-01-06"},{"title":"Convergence of a L2 regularized Policy Gradient Algorithm for the Multi Armed Bandit","abstract":"Although Multi Armed Bandit (MAB) on one hand and the policy gradient approach on the other hand are among the most used frameworks of Reinforcement Learning, the theoretical properties of the policy gradient algorithm used for MAB have not been given enough attention. We investigate in this work the convergence of such a procedure for the situation when a $L2$ regularization term is present jointly with the 'sof","authors":["Anita, Stefana","Turinici, Gabriel"],"url":"https://arxiv.org/abs/2402.06388","arxiv_id":"2402.06388","published":"2026-01-06"},{"title":"Geometry-induced Regularization in Deep ReLU Neural Networks","abstract":"Neural networks with a large number of parameters often do not overfit, owing to implicit regularization that favors \\lq good\\rq{} networks. Other related and puzzling phenomena include properties of flat minima, saddle-to-saddle dynamics, and neuron alignment. To investigate these phenomena, we study the local geometry of deep ReLU neural networks. We show that, for a fixed architecture, as the weights vary, the ima","authors":["Bona-Pellissier, Joachim","Malgouyres, François","Bachoc, François"],"url":"https://arxiv.org/abs/2402.08269","arxiv_id":"2402.08269","published":"2026-01-06"},{"title":"FormulaReasoning: A Dataset for Formula-Based Numerical Reasoning","abstract":"The application of physics formulas is a fundamental human capability in numerical reasoning. While existing datasets often rely on implicit mathematical knowledge, they rarely explicitate the underlying formulas. To address this, we introduce FormulaReasoning, a new benchmark for formula-based numerical reasoning comprising 5,324 questions requiring calculations grounded in external physics principles. We provide hi","authors":["Li, Xiao","Zhu, Bolin","Shi, Kaiwen","Liu, Sichen","Zhu, Yin","Liu, Yiwei"],"url":"https://arxiv.org/abs/2402.12692","arxiv_id":"2402.12692","published":"2026-01-06"},{"title":"Two-hidden-layer ReLU neural networks and finite elements","abstract":"We point out that (continuous or discontinuous) piecewise linear functions on a convex polytope mesh can be represented by two-hidden-layer ReLU neural networks in a weak sense. In addition, the numbers of neurons of the two hidden layers required to weakly represent are accurately given based on the numbers of polytopes and hyperplanes involved in this mesh. The results naturally hold for constant and linear finite ","authors":["Jin, Pengzhan"],"url":"https://arxiv.org/abs/2403.05809","arxiv_id":"2403.05809","published":"2026-01-06"},{"title":"RankMamba: Benchmarking Mamba's Document Ranking Performance in the Era of Transformers","abstract":"Transformer structure has achieved great success in multiple applied machine learning communities, such as natural language processing (NLP), computer vision (CV) and information retrieval (IR). Transformer architecture's core mechanism\\, -- \\,attention requires $O(n^2)$ time complexity in training and $O(n)$ time complexity in inference. Many works have been proposed to improve the attention mechanism's scal","authors":["Xu, Zhichao"],"url":"https://arxiv.org/abs/2403.18276","arxiv_id":"2403.18276","published":"2026-01-06"}],"history":{"events":[{"year":2021,"text":"Supporters of then-outgoing U.S. president Donald Trump attack the United States Capitol to disrupt certification of the 2020 presidential election, resulting in five deaths and evacuation of the U.S. Congress.","url":"https://en.wikipedia.org/wiki/Donald_Trump"},{"year":2014,"text":"The first episode of the documentary series Benefits Street aired on Channel 4, prompting discussion in the United Kingdom about welfare dependency.","url":"https://en.wikipedia.org/wiki/Benefits_Street"},{"year":1994,"text":"Two-time American Olympic figure-skating medalist Nancy Kerrigan was hit on the leg with a police baton by an assailant hired by the ex-husband of her rival Tonya Harding.","url":"https://en.wikipedia.org/wiki/Figure_skating"},{"year":1972,"text":"A brawl broke out between players, fans, and police officers during an ice hockey game between the Philadelphia Flyers and the St. Louis Blues in Philadelphia.","url":"https://en.wikipedia.org/wiki/St._Louis_Blues%E2%80%93Philadelphia_Flyers_brawl"},{"year":1960,"text":"National Airlines Flight 2511, traveling from New York City to Miami, exploded in mid-air due to a bomb placed by an unknown party, resulting in the deaths of all 34 people on board.","url":"https://en.wikipedia.org/wiki/National_Airlines_Flight_2511"},{"year":1953,"text":"The inaugural Asian Socialist Conference, an organisation of socialist political parties, opened in Rangoon with 177 delegates, observers and fraternal guests.","url":"https://en.wikipedia.org/wiki/Asian_Socialist_Conference"},{"year":1941,"text":"During his State of the Union address, U.S. president Franklin D. Roosevelt presented his Four Freedoms (composite poster depicted) as fundamental freedoms that all people ought to enjoy.","url":"https://en.wikipedia.org/wiki/State_of_the_Union"},{"year":1912,"text":"German geophysicist Alfred Wegener presented his theory of continental drift, the precursor of plate tectonics, to the German Geological Society.","url":"https://en.wikipedia.org/wiki/Alfred_Wegener"},{"year":1907,"text":"Italian educator Maria Montessori opened her first school and day-care centre for working-class children in Rome, employing a philosophy of education that now bears her name.","url":"https://en.wikipedia.org/wiki/Maria_Montessori"},{"year":1839,"text":"The worst storm to impact Ireland in 300 years damaged or destroyed more than 20 per cent of houses in Dublin with 100-knot (190 km/h) winds.","url":"https://en.wikipedia.org/wiki/Night_of_the_Big_Wind"},{"year":1725,"text":"J. S. Bach led the first performance of Liebster Immanuel, Herzog der Frommen, a chorale cantata for Epiphany.","url":"https://en.wikipedia.org/wiki/Johann_Sebastian_Bach"},{"year":1540,"text":"King Henry VIII of England married his fourth wife, Anne of Cleves; the marriage was annulled six months later.","url":"https://en.wikipedia.org/wiki/Henry_VIII"},{"year":1536,"text":"The oldest European school of higher learning in the Americas, the Colegio de Santa Cruz, was founded in Tlatelolco, Mexico City.","url":"https://en.wikipedia.org/wiki/Colegio_de_Santa_Cruz_de_Tlatelolco"},{"year":1449,"text":"Four years before the fall of Constantinople, Constantine XI Palaiologos (pictured) assumed the throne as the last Byzantine emperor.","url":"https://en.wikipedia.org/wiki/Fall_of_Constantinople"},{"year":1322,"text":"Stefan Dečanski was crowned King of Serbia, succeeding his half-brother Stefan Konstantin, whom he later defeated in battle.","url":"https://en.wikipedia.org/wiki/Stefan_De%C4%8Danski"},{"year":1066,"text":"Harold Godwinson, the last Anglo-Saxon monarch before the Norman Conquest, was crowned King of England.","url":"https://en.wikipedia.org/wiki/Harold_Godwinson"}],"births":[{"year":2006,"text":"Stefanos Tzimas, Greek footballer","url":"https://en.wikipedia.org/wiki/Stefanos_Tzimas"},{"year":2003,"text":"MattyBRaps, American rapper, singer, and YouTuber","url":"https://en.wikipedia.org/wiki/MattyBRaps"},{"year":2000,"text":"Fiete Arp, German footballer","url":"https://en.wikipedia.org/wiki/Fiete_Arp"},{"year":2000,"text":"Mohamed Camara, Malian footballer","url":"https://en.wikipedia.org/wiki/Mohamed_Camara_(footballer%2C_born_January_2000)"},{"year":2000,"text":"Kwon Eun-bin, South Korean singer and actress","url":"https://en.wikipedia.org/wiki/Kwon_Eun-bin"},{"year":2000,"text":"Jack McBain, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Jack_McBain"},{"year":2000,"text":"Shuhua, Taiwanese singer","url":"https://en.wikipedia.org/wiki/Shuhua"},{"year":2000,"text":"Tyler Oliveira, American YouTuber","url":"https://en.wikipedia.org/wiki/Tyler_Oliveira"}],"deaths":[{"year":2023,"text":"Mary Lou Kownacki, American Roman Catholic nun, peace activist, and writer (born 1941)","url":"https://en.wikipedia.org/wiki/Mary_Lou_Kownacki"},{"year":2022,"text":"Peter Bogdanovich, American actor, director, producer, and screenwriter (born 1939)","url":"https://en.wikipedia.org/wiki/Peter_Bogdanovich"},{"year":2022,"text":"Sidney Poitier, Bahamian-American actor, director, and diplomat (born 1927)","url":"https://en.wikipedia.org/wiki/Sidney_Poitier"},{"year":2022,"text":"Francisco Sionil Jose, Philippine novelist (born 1924)","url":"https://en.wikipedia.org/wiki/F._Sionil_Jos%C3%A9"},{"year":2021,"text":"Ashli Babbitt, American participant in the January 6 United States Capitol attack","url":"https://en.wikipedia.org/wiki/Killing_of_Ashli_Babbitt"},{"year":2021,"text":"Gordon Renwick, Canadian ice hockey administrator and businessman (born 1935)","url":"https://en.wikipedia.org/wiki/Gord_Renwick"},{"year":2021,"text":"James Cross, British diplomat kidnapped during the 1970 October crisis in Québec (born 1921)","url":"https://en.wikipedia.org/wiki/James_Cross"},{"year":2020,"text":"Richard Maponya, South African businessman (born 1920)","url":"https://en.wikipedia.org/wiki/Richard_Maponya"}]},"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."}