{"date":"2026-04-07","schema_version":1,"captured_at":"2026-08-25T23:35:37.283Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Artemis II","views":290079,"rank":4,"extract":"Artemis II was a crewed flyby of the Moon. It is currently the only crewed flight beyond low Earth orbit since Apollo 17 in 1972. 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Investigators identified Kaitlin Marie Armstrong as the suspect after surveillance footage placed her near the scene and ev","url":"https://en.wikipedia.org/wiki/Murder_of_Moriah_Wilson","thumb":"https://upload.wikimedia.org/wikipedia/en/1/1c/Moriah_Wilson.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Lauren Betts","views":73047,"rank":23,"extract":"Lauren Marie Betts is an American professional basketball player for the Washington Mystics of the Women's National Basketball Association (WNBA). 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Scott Gemmill and executive produced by John Wells and Noah Wyle. It is Gemmill, Wells, and Wyle's second collaboration; they previously worked together on ER (1994–2009). It stars Wyle, Tra","url":"https://en.wikipedia.org/wiki/The_Pitt","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/0/03/The_Pitt_Max_series_logo.svg/330px-The_Pitt_Max_series_logo.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Cori Close","views":63555,"rank":29,"extract":"Cori Rashel Close is an American basketball coach who is the head coach for the UCLA Bruins women's team. She played college basketball as a guard for the UC Santa Barbara Gauchos from 1989 to 1993, serving as a team captain during her final two seasons and he","url":"https://en.wikipedia.org/wiki/Cori_Close","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/7/77/Cori_Close_2026_%28cropped%29.jpg/330px-Cori_Close_2026_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Anna's Archive","views":61859,"rank":31,"extract":"Anna's Archive is an open source search engine for shadow libraries that was launched by the pseudonymous Anna shortly after law enforcement efforts to shut down Z-Library in 2022. 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It stars Kieron Moore as a sex worker and Reed Birney as a former middle school teacher — and self-admitted pederast — who reconnect.","url":"https://en.wikipedia.org/wiki/Blue_Film_(2025_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/7/74/Blue_Film_%282025_film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Pete Hegseth","views":59648,"rank":35,"extract":"Peter Brian Hegseth is an American government official, veteran, and former television personality who has served as the 29th United States secretary of defense since 2025.","url":"https://en.wikipedia.org/wiki/Pete_Hegseth","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/5/5f/Pete_Hegseth_Official_Portrait_%28cropped%29%28b%29.jpg/330px-Pete_Hegseth_Official_Portrait_%28cropped%29%28b%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Artemis program","views":57241,"rank":36,"extract":"The Artemis program is a Moon exploration program led by the United States' National Aeronautics and Space Administration (NASA), aimed at returning humans to the Moon for the first time since the Apollo program and building a permanent lunar base. 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One of the simplest and yet most effective oversegmentation algorithms is known as local variation (LV) (Felzenszwalb and Huttenlocher 2004). In this work, we study this algorithm and show that algorithms similar to LV can be devised by applying different statistical models and decisions, t","authors":["Baltaxe, Michael","Meer, Peter","Lindenbaum, Michael"],"url":"https://arxiv.org/abs/1504.06507","arxiv_id":"1504.06507","published":"2026-04-07"},{"title":"Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning","abstract":"We present a reinforcement learning (RL) framework to synthesize a control policy from a given linear temporal logic (LTL) specification in an unknown stochastic environment that can be modeled as a Markov Decision Process (MDP). Specifically, we learn a policy that maximizes the probability of satisfying the LTL formula without learning the transition probabilities. We introduce a novel rewarding and path-dependent ","authors":["Bozkurt, Alper Kamil","Wang, Yu","Zavlanos, Michael M.","Pajic, Miroslav"],"url":"https://arxiv.org/abs/1909.07299","arxiv_id":"1909.07299","published":"2026-04-07"},{"title":"Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models","abstract":"Dyna-style reinforcement learning (RL) agents improve sample efficiency over model-free RL agents by updating the value function with simulated experience generated by an environment model. However, it is often difficult to learn accurate models of environment dynamics, and even small errors may result in failure of Dyna agents. In this paper, we highlight that one potential cause of that failure is bootstrapping off","authors":["Aminmansour, Farzane","Jafferjee, Taher","Imani, Ehsan","Talvitie, Erin","Bowling, Micheal","White, Martha"],"url":"https://arxiv.org/abs/2006.04363","arxiv_id":"2006.04363","published":"2026-04-07"},{"title":"Learning Optimal Strategies for Temporal Tasks in Stochastic Games","abstract":"Synthesis from linear temporal logic (LTL) specifications provides assured controllers for systems operating in stochastic and potentially adversarial environments. Automatic synthesis tools, however, require a model of the environment to construct controllers. In this work, we introduce a model-free reinforcement learning (RL) approach to derive controllers from given LTL specifications even when the environment is ","authors":["Bozkurt, Alper Kamil","Wang, Yu","Zavlanos, Michael M.","Pajic, Miroslav"],"url":"https://arxiv.org/abs/2102.04307","arxiv_id":"2102.04307","published":"2026-04-07"},{"title":"Model-Free Learning of Safe yet Effective Controllers","abstract":"We study the problem of learning safe control policies that are also effective; i.e., maximizing the probability of satisfying a linear temporal logic (LTL) specification of a task, and the discounted reward capturing the (classic) control performance. We consider unknown environments modeled as Markov decision processes. We propose a model-free reinforcement learning algorithm that learns a policy that first maximiz","authors":["Bozkurt, Alper Kamil","Wang, Yu","Pajic, Miroslav"],"url":"https://arxiv.org/abs/2103.14600","arxiv_id":"2103.14600","published":"2026-04-07"},{"title":"3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective","abstract":"This research aims to study a self-supervised 3D clothing reconstruction method, which recovers the geometry shape and texture of human clothing from a single image. Compared with existing methods, we observe that three primary challenges remain: (1) 3D ground-truth meshes of clothing are usually inaccessible due to annotation difficulties and time costs; (2) Conventional template-based methods are limited to modelin","authors":["Zheng, Zhedong","Zhu, Jiayin","Ji, Wei","Yang, Yi","Chua, Tat-Seng"],"url":"https://arxiv.org/abs/2204.13096","arxiv_id":"2204.13096","published":"2026-04-07"},{"title":"SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation","abstract":"Recently, over-height vehicle strike frequently occurs, causing great economic cost and serious safety problems. Hence, an alert system which can accurately discover any possible height limiting devices in advance is necessary to be employed in modern large or medium sized cars, such as touring cars. Detecting and estimating the height limiting devices act as the key point of a successful height limit alert system. T","authors":["Fan, Zhaoxin","Yang, Kaixing","Zhang, Min","Song, Zhenbo","Liu, Hongyan","He, Jun"],"url":"https://arxiv.org/abs/2212.11538","arxiv_id":"2212.11538","published":"2026-04-07"},{"title":"Uncertainty in Real-Time Semantic Segmentation on Embedded Systems","abstract":"Application for semantic segmentation models in areas such as autonomous vehicles and human computer interaction require real-time predictive capabilities. The challenges of addressing real-time application is amplified by the need to operate on resource constrained hardware. Whilst development of real-time methods for these platforms has increased, these models are unable to sufficiently reason about uncertainty pre","authors":["Goan, Ethan","Fookes, Clinton"],"url":"https://arxiv.org/abs/2301.01201","arxiv_id":"2301.01201","published":"2026-04-07"},{"title":"Graph State-Space Models and Latent Relational Inference","abstract":"State-space models effectively model multivariate time series by updating over time a representation of the system state from which predictions are made. The state representation is usually a vector without any explicit structure. Relational inductive biases, e.g., associated with dependencies among input signals and state representations, are not explicitly exploited during processing, leaving unattended opportuniti","authors":["Zambon, Daniele","Cini, Andrea","Alippi, Cesare"],"url":"https://arxiv.org/abs/2301.01741","arxiv_id":"2301.01741","published":"2026-04-07"},{"title":"Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning","abstract":"Opponent modeling methods typically involve two crucial steps: building a belief distribution over opponents' strategies, and exploiting this opponent model by playing a best response. However, existing approaches typically require domain-specific heurstics to come up with such a model, and algorithms for approximating best responses are hard to scale in large, imperfect information domains. In this work, we intr","authors":["Li, Zun","Lanctot, Marc","McKee, Kevin R.","Marris, Luke","Gemp, Ian","Hennes, Daniel"],"url":"https://arxiv.org/abs/2302.00797","arxiv_id":"2302.00797","published":"2026-04-07"},{"title":"Piecewise Deterministic Markov Processes for Bayesian Neural Networks","abstract":"Inference on modern Bayesian Neural Networks (BNNs) often relies on a variational inference treatment, imposing violated assumptions of independence and the form of the posterior. Traditional MCMC approaches avoid these assumptions at the cost of increased computation due to its incompatibility to subsampling of the likelihood. New Piecewise Deterministic Markov Process (PDMP) samplers permit subsampling, though intr","authors":["Goan, Ethan","Perrin, Dimitri","Mengersen, Kerrie","Fookes, Clinton"],"url":"https://arxiv.org/abs/2302.08724","arxiv_id":"2302.08724","published":"2026-04-07"},{"title":"Neural Exploitation and Exploration of Contextual Bandits","abstract":"In this paper, we study utilizing neural networks for the exploitation and exploration of contextual multi-armed bandits. Contextual multi-armed bandits have been studied for decades with various applications. To solve the exploitation-exploration trade-off in bandits, there are three main techniques: epsilon-greedy, Thompson Sampling (TS), and Upper Confidence Bound (UCB). In recent literature, a series of neural ba","authors":["Ban, Yikun","Yan, Yuchen","Banerjee, Arindam","He, Jingrui"],"url":"https://arxiv.org/abs/2305.03784","arxiv_id":"2305.03784","published":"2026-04-07"},{"title":"Polarimetric Imaging for Perception","abstract":"Autonomous driving and advanced driver-assistance systems rely on a set of sensors and algorithms to perform the appropriate actions and provide alerts as a function of the driving scene. Typically, the sensors include color cameras, radar, lidar and ultrasonic sensors. Strikingly however, although light polarization is a fundamental property of light, it is seldom harnessed for perception tasks. In this work we anal","authors":["Baltaxe, Michael","Pe'er, Tomer","Levi, Dan"],"url":"https://arxiv.org/abs/2305.14787","arxiv_id":"2305.14787","published":"2026-04-07"},{"title":"Importance Sparsification for Sinkhorn Algorithm","abstract":"Sinkhorn algorithm has been used pervasively to approximate the solution to optimal transport (OT) and unbalanced optimal transport (UOT) problems. However, its practical application is limited due to the high computational complexity. To alleviate the computational burden, we propose a novel importance sparsification method, called Spar-Sink, to efficiently approximate entropy-regularized OT and UOT solutions. Speci","authors":["Li, Mengyu","Yu, Jun","Li, Tao","Meng, Cheng"],"url":"https://arxiv.org/abs/2306.06581","arxiv_id":"2306.06581","published":"2026-04-07"},{"title":"Accelerated Gradient Methods for Nonconvex Optimization: Escape Trajectories From Strict Saddle Points and Convergence to Local Minima","abstract":"This paper considers the problem of understanding the behavior of a general class of accelerated gradient methods on smooth nonconvex functions. Motivated by some recent works that have proposed effective algorithms, based on Polyak's heavy ball method and the Nesterov accelerated gradient method, to achieve convergence to a local minimum of nonconvex functions, this work proposes a broad class of Nesterov-type a","authors":["Dixit, Rishabh","Gurbuzbalaban, Mert","Bajwa, Waheed U."],"url":"https://arxiv.org/abs/2307.07030","arxiv_id":"2307.07030","published":"2026-04-07"},{"title":"Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives","abstract":"We consider the problem of learning a sparse graph underlying an undirected Gaussian graphical model, a key problem in statistical machine learning. Given $n$ samples from a multivariate Gaussian distribution with $p$ variables, the goal is to estimate the $p \\times p$ inverse covariance matrix (aka precision matrix), assuming it is sparse (i.e., has a few nonzero entries). We propose GraphL0BnB, a new estimator base","authors":["Behdin, Kayhan","Chen, Wenyu","Mazumder, Rahul"],"url":"https://arxiv.org/abs/2307.09366","arxiv_id":"2307.09366","published":"2026-04-07"},{"title":"Studying Lobby Influence in the European Parliament","abstract":"We present a method based on natural language processing (NLP), for studying the influence of interest groups (lobbies) in the law-making process in the European Parliament (EP). We collect and analyze novel datasets of lobbies' position papers and speeches made by members of the EP (MEPs). By comparing these texts on the basis of semantic similarity and entailment, we are able to discover interpretable links bet","authors":["Suresh, Aswin","Radojevic, Lazar","Salvi, Francesco","Magron, Antoine","Kristof, Victor","Grossglauser, Matthias"],"url":"https://arxiv.org/abs/2309.11381","arxiv_id":"2309.11381","published":"2026-04-07"},{"title":"Physics-Informed Neural Networks for Accelerating Power System State Estimation","abstract":"State estimation is the cornerstone of the power system control center since it provides the operating condition of the system in consecutive time intervals. This work investigates the application of physics-informed neural networks (PINNs) for accelerating power systems state estimation in monitoring the operation of power systems. Traditional state estimation techniques often rely on iterative algorithms that can b","authors":["Falas, Solon","Asprou, Markos","Konstantinou, Charalambos","Michael, Maria K."],"url":"https://arxiv.org/abs/2310.03088","arxiv_id":"2310.03088","published":"2026-04-07"},{"title":"A Multi-Agent Reinforcement Learning Framework for Public Health Decision Analysis","abstract":"Human immunodeficiency virus (HIV) is a major public health concern in the United States (U.S.), with about 1.2 million people living with it and about 35,000 newly infected each year. There are considerable geographical disparities in HIV burden and care access across the U.S. The 'Ending the HIV Epidemic (EHE)' initiative by the U.S. Department of Health and Human Services aims to reduce new infections by 9","authors":["Sharma, Dinesh","Shah, Ankit","Gopalappa, Chaitra"],"url":"https://arxiv.org/abs/2311.00855","arxiv_id":"2311.00855","published":"2026-04-07"},{"title":"Beyond principlism: Practical strategies for ethical AI use in research practices","abstract":"The rapid adoption of generative artificial intelligence (AI) in scientific research, particularly large language models (LLMs), has outpaced the development of ethical guidelines, leading to a "Triple-Too" problem: too many high-level ethical initiatives, too abstract principles lacking contextual and practical relevance, and too much focus on restrictions and risks over benefits and utilities. Existing appr","authors":["Lin, Zhicheng"],"url":"https://arxiv.org/abs/2401.15284","arxiv_id":"2401.15284","published":"2026-04-07"},{"title":"Federated Transfer Learning with Differential Privacy","abstract":"Federated learning has emerged as a powerful framework for analysing distributed data, yet two challenges remain pivotal: heterogeneity across sites and privacy of local data. In this paper, we address both challenges within a federated transfer learning framework, aiming to enhance learning on a target data set by leveraging information from multiple heterogeneous source data sets while adhering to privacy constrain","authors":["Li, Mengchu","Tian, Ye","Feng, Yang","Yu, Yi"],"url":"https://arxiv.org/abs/2403.11343","arxiv_id":"2403.11343","published":"2026-04-07"},{"title":"Floralens: a Deep Learning Model for the Portuguese Native Flora","abstract":"Machine-learning techniques, especially deep convolutional neural networks, are pivotal for image-based identification of biological species in many Citizen Science platforms. In this paper, we describe the construction of a dataset for the Portuguese native flora based on publicly available research-grade datasets, and the derivation of a high-accuracy model from it using off-the-shelf deep convolutional neural netw","authors":["Filgueiras, António","Marques, Eduardo R. B.","Lopes, Luís M. B.","Marques, Miguel","Silva, Hugo"],"url":"https://arxiv.org/abs/2403.12072","arxiv_id":"2403.12072","published":"2026-04-07"},{"title":"Ray-driven Spectral CT Reconstruction Based on Neural Base-Material Fields","abstract":"In spectral CT reconstruction, the basis materials decomposition involves solving a large-scale nonlinear system of integral equations, which is highly ill-posed mathematically. This paper proposes a model that parameterizes the attenuation coefficients of the object using a neural field representation, thereby avoiding the complex calculations of pixel-driven projection coefficient matrices during the discretization","authors":["Shi, Ligen","Yang, Ping","Liu, Chang","Zhang, Wei","Zhao, Xing","Qiu, Jun"],"url":"https://arxiv.org/abs/2404.06991","arxiv_id":"2404.06991","published":"2026-04-07"},{"title":"Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection","abstract":"With the wide application of knowledge distillation between an ImageNet pre-trained teacher model and a learnable student model, unsupervised anomaly detection has witnessed a significant achievement in the past few years. The success of this framework mainly relies on how to keep the feature discrepancy between the teacher and student model, in which it has two underlying sub-assumptions: (1) The teacher model can r","authors":["Tang, Canhui","Zhou, Sanping","Li, Yizhe","Dong, Yonghao","Wang, Le"],"url":"https://arxiv.org/abs/2405.02068","arxiv_id":"2405.02068","published":"2026-04-07"},{"title":"Causal K-Means Clustering","abstract":"Causal effects are often characterized with population summaries. These might provide an incomplete picture when there are heterogeneous treatment effects across subgroups. Since the subgroup structure is typically unknown, it is more challenging to identify and evaluate subgroup effects than population effects. We propose a new solution to this problem: \\emph{Causal k-Means Clustering}, which leverages the k-means c","authors":["Kim, Kwangho","Kim, Jisu","Kennedy, Edward H."],"url":"https://arxiv.org/abs/2405.03083","arxiv_id":"2405.03083","published":"2026-04-07"}],"history":{"events":[{"year":2017,"text":"A hijacker deliberately drove a truck into crowds along Drottninggatan in Stockholm, Sweden, killing five people.","url":"https://en.wikipedia.org/wiki/2017_Stockholm_truck_attack"},{"year":2001,"text":"NASA's 2001 Mars Odyssey (artist's conception pictured), the longest-surviving continually active spacecraft in orbit around a planet other than Earth, launched from Cape Canaveral.","url":"https://en.wikipedia.org/wiki/NASA"},{"year":1995,"text":"First Chechen War: Russian paramilitary troops began a massacre of hundreds of civilians in Samashki, Chechnya.","url":"https://en.wikipedia.org/wiki/First_Chechen_War"},{"year":1994,"text":"Rwandan Civil War: The Rwandan genocide began a few hours after the assassination of President Juvénal Habyarimana, with hundreds of thousands killed in the following 100 days.","url":"https://en.wikipedia.org/wiki/Rwandan_Civil_War"},{"year":1994,"text":"A FedEx employee tried to hijack Federal Express Flight 705 in a failed suicide attempt.","url":"https://en.wikipedia.org/wiki/FedEx"},{"year":1979,"text":"Uganda–Tanzania War: Tanzanian forces defeated Ugandan troops and their Libyan allies at the Battle of Entebbe, opening the way for an advance on the Ugandan capital, Kampala.","url":"https://en.wikipedia.org/wiki/Uganda%E2%80%93Tanzania_War"},{"year":1972,"text":"Communist forces overran the South Vietnamese town of Lộc Ninh.","url":"https://en.wikipedia.org/wiki/Viet_Cong"},{"year":1964,"text":"American Presbyterian minister Bruce W. Klunder was killed by a bulldozer while protesting the construction of a segregated school in Cleveland, Ohio.","url":"https://en.wikipedia.org/wiki/Bruce_W._Klunder"},{"year":1949,"text":"The Rodgers and Hammerstein musical South Pacific, based on Tales of the South Pacific by James Michener, opened on Broadway.","url":"https://en.wikipedia.org/wiki/Rodgers_and_Hammerstein"},{"year":1948,"text":"The United Nations established the World Health Organization to act as a coordinating authority on international public health.","url":"https://en.wikipedia.org/wiki/United_Nations"},{"year":1945,"text":"World War II: U.S. forces sank the Japanese battleship Yamato during Operation Kikusui I in the East China Sea.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1926,"text":"Italian dictator Benito Mussolini survived an assassination attempt by Irishwoman Violet Gibson.","url":"https://en.wikipedia.org/wiki/Benito_Mussolini"},{"year":1896,"text":"An Arctic expedition led by Norwegian explorer Fridtjof Nansen (pictured) reached 86°13.6′N, almost three degrees beyond the previous Farthest North latitude.","url":"https://en.wikipedia.org/wiki/Nansen's_Fram_expedition"},{"year":1862,"text":"American Civil War: Union forces defeated Confederate troops at the Battle of Shiloh, at the time the bloodiest battle in U.S. history, in Hardin County, Tennessee.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1831,"text":"Pedro II became emperor of the Empire of Brazil.","url":"https://en.wikipedia.org/wiki/Pedro_II_of_Brazil"},{"year":1655,"text":"After a conclave lasting eighty days, the College of Cardinals elected Fabio Chigi as Pope Alexander VII.","url":"https://en.wikipedia.org/wiki/1655_conclave"}],"births":[{"year":1997,"text":"Rafaela Gómez, Ecuadorian tennis player","url":"https://en.wikipedia.org/wiki/Rafaela_G%C3%B3mez"},{"year":1996,"text":"Emerson Hyndman, American international soccer player","url":"https://en.wikipedia.org/wiki/Emerson_Hyndman"},{"year":1994,"text":"Johanna Allik, Estonian figure skater","url":"https://en.wikipedia.org/wiki/Johanna_Allik"},{"year":1994,"text":"Aaron Gray, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Aaron_Gray_(rugby_league)"},{"year":1994,"text":"Josh Hader, American baseball player","url":"https://en.wikipedia.org/wiki/Josh_Hader"},{"year":1993,"text":"Ichinojō Takashi, Mongolian sumo wrestler","url":"https://en.wikipedia.org/wiki/Ichinoj%C5%8D_Takashi"},{"year":1992,"text":"Andreea Acatrinei, Romanian gymnast","url":"https://en.wikipedia.org/wiki/Andreea_Acatrinei"},{"year":1992,"text":"Guilherme Negueba, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Negueba"}],"deaths":[{"year":2026,"text":"Mircea Lucescu, Romanian football player and manager (born 1945)","url":"https://en.wikipedia.org/wiki/Mircea_Lucescu"},{"year":2025,"text":"William Finn, American composer and lyricist (born 1952)","url":"https://en.wikipedia.org/wiki/William_Finn"},{"year":2025,"text":"Greg Millen, Canadian ice hockey player and sportscaster (born 1957)","url":"https://en.wikipedia.org/wiki/Greg_Millen"},{"year":2024,"text":"Jerry Grote, American baseball player (born 1942)","url":"https://en.wikipedia.org/wiki/Jerry_Grote"},{"year":2024,"text":"Joe Kinnear, Irish football player and manager (born 1946)","url":"https://en.wikipedia.org/wiki/Joe_Kinnear"},{"year":2023,"text":"Ben Ferencz, American lawyer (born 1920)","url":"https://en.wikipedia.org/wiki/Ben_Ferencz"},{"year":2023,"text":"Philippe Bouvatier, French cyclist (born 1964)","url":"https://en.wikipedia.org/wiki/Philippe_Bouvatier"},{"year":2021,"text":"Tommy Raudonikis, Australian rugby league player and coach (born 1950)","url":"https://en.wikipedia.org/wiki/Tommy_Raudonikis"}]},"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."}