{"date":"2026-05-26","schema_version":1,"captured_at":"2026-08-25T23:10:00.407Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Memorial Day","views":235573,"rank":5,"extract":"Memorial Day is a federal holiday in the United States for mourning the U.S. military personnel who died while serving in the U.S. Armed Forces. It is observed on the last Monday of May.","url":"https://en.wikipedia.org/wiki/Memorial_Day","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/e/e3/Graves_at_Arlington_on_Memorial_Day.JPG/330px-Graves_at_Arlington_on_Memorial_Day.JPG?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Obsession (2025 film)","views":234012,"rank":6,"extract":"Obsession is a 2025 American supernatural horror film written, directed, and edited by Curry Barker. 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Monsters","points":298,"comments":145,"url":"https://thereader.mitpress.mit.edu/the-strange-melancholy-of-slaying-monsters/","discussion":"https://news.ycombinator.com/item?id=48284711"},{"title":"Uber, Lyft drivers in Massachusetts form first US ride-share union","points":296,"comments":205,"url":"https://www.reuters.com/business/world-at-work/uber-lyft-drivers-massachusetts-form-first-us-ride-share-union-2026-05-26/","discussion":"https://news.ycombinator.com/item?id=48281509"},{"title":"What are locusts and what happened to them?","points":290,"comments":75,"url":"https://explosion-scratch.github.io/locusts/","discussion":"https://news.ycombinator.com/item?id=48281772"},{"title":"Snowboard Kids 2 is 100% Decompiled","points":284,"comments":109,"url":"https://blog.chrislewis.au/snowboard-kids-2-is-100-decompiled/","discussion":"https://news.ycombinator.com/item?id=48284494"},{"title":"Indoor Wi-Fi Roaming with OpenWRT","points":269,"comments":127,"url":"https://taoofmac.com/space/blog/2026/05/26/1730","discussion":"https://news.ycombinator.com/item?id=48282180"},{"title":"Navier-Stokes fluid simulation explained with Godot game engine","points":245,"comments":35,"url":"https://myzopotamia.dev/navier-stokes-fluid-simulation-explained-with-godot","discussion":"https://news.ycombinator.com/item?id=48286745"},{"title":"Does anybody like React?","points":242,"comments":338,"url":"https://jsx.lol","discussion":"https://news.ycombinator.com/item?id=48274077"},{"title":"News about Raspberry Pi 6 and Microcontroller Development","points":237,"comments":202,"url":"https://www.jeffgeerling.com/blog/2026/news-about-raspberry-pi-6-and-microcontroller-development/","discussion":"https://news.ycombinator.com/item?id=48276598"},{"title":"Print with dozens of colors: Our new open-source ColorMix for PrusaSlicer","points":224,"comments":76,"url":"https://blog.prusa3d.com/our-new-open-source-colormix-model-in-prusaslicer-and-easyprint_136079/","discussion":"https://news.ycombinator.com/item?id=48283410"},{"title":"Is \"colorectal cancer\" rising in \"young people\"?","points":218,"comments":240,"url":"https://dynomight.net/crc-rates/","discussion":"https://news.ycombinator.com/item?id=48281539"},{"title":"A sleep-like consolidation mechanism for LLMs","points":212,"comments":140,"url":"https://arxiv.org/abs/2605.26099","discussion":"https://news.ycombinator.com/item?id=48281226"}],"research":[{"title":"An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes","abstract":"In Offline Model Learning for Planning and in Offline Reinforcement Learning, the limited data set hinders the estimate of the Value function of the relative Markov Decision Process (MDP). Consequently, the performance of the obtained policy in the real world is bounded and possibly risky, especially when the deployment of a wrong policy can lead to catastrophic consequences. For this reason, several pathways are bei","authors":["Angelotti, Giorgio","Drougard, Nicolas","Chanel, Caroline Ponzoni Carvalho"],"url":"https://arxiv.org/abs/2105.13431","arxiv_id":"2105.13431","published":"2026-05-26"},{"title":"Algorithmic failure as a humanities methodology: machine learning's mispredictions identify rich cases for qualitative analysis","abstract":"This commentary tests a methodology proposed by Munk et al. (2022) for using failed predictions in machine learning as a method to identify ambiguous and rich cases for qualitative analysis. Using a dataset describing actions performed by fictional characters interacting with machine vision technologies in 500 artworks, movies, novels and videogames, I trained a simple machine learning algorithm (using the kNN algori","authors":["Rettberg, Jill Walker"],"url":"https://arxiv.org/abs/2305.11663","arxiv_id":"2305.11663","published":"2026-05-26"},{"title":"Forgettable Federated Linear Learning with Certified Data Unlearning","abstract":"Federated Learning (FL) enables collaborative model training across distributed clients while preserving user privacy. Recently, Federated Unlearning (FU) has emerged to address the "right to be forgotten" and to remove the influence of poisoned or target clients without retraining the entire FL system. However, many FU methods require communication with retained or target clients, introduce additional securi","authors":["Jin, Ruinan","Chen, Minghui","Zhang, Qiong","Li, Xiaoxiao"],"url":"https://arxiv.org/abs/2306.02216","arxiv_id":"2306.02216","published":"2026-05-26"},{"title":"Virchow: A Million-Slide Digital Pathology Foundation Model","abstract":"The use of artificial intelligence to enable precision medicine and decision support systems through the analysis of pathology images has the potential to revolutionize the diagnosis and treatment of cancer. Such applications will depend on models' abilities to capture the diverse patterns observed in pathology images. To address this challenge, we present Virchow, a foundation model for computational pathology. ","authors":["Vorontsov, Eugene","Bozkurt, Alican","Casson, Adam","Shaikovski, George","Zelechowski, Michal","Liu, Siqi"],"url":"https://arxiv.org/abs/2309.07778","arxiv_id":"2309.07778","published":"2026-05-26"},{"title":"Automated regime classification in multidimensional time series data using sliced Wasserstein k-means clustering","abstract":"Recent work has proposed Wasserstein k-means (Wk-means) clustering as a powerful method to classify regimes in time series data, and one-dimensional asset returns in particular. In this paper, we begin by studying in detail the behaviour of the Wasserstein k-means clustering algorithm applied to synthetic one-dimensional time series data. We extend the previous work by studying, in detail, the dynamics of the cluster","authors":["Luan, Qinmeng","Hamp, James"],"url":"https://arxiv.org/abs/2310.01285","arxiv_id":"2310.01285","published":"2026-05-26"},{"title":"Compositional Semantics for Open Vocabulary Spatio-semantic Representations","abstract":"Vision-language models (VLMs) transform environment percepts into vision-language semantics interpretable by LLMs. However, completing complex tasks often requires reasoning about information beyond what is currently perceived. We propose latent compositional semantic embeddings z* as a principled learning-based knowledge representation for queryable spatio-semantic memories. We mathematically prove that z* can alway","authors":["Karlsson, Robin","Lepe-Salazar, Francisco","Takeda, Kazuya"],"url":"https://arxiv.org/abs/2310.04981","arxiv_id":"2310.04981","published":"2026-05-26"},{"title":"Global $\\mathcal{L}^2$ minimization at uniform exponential rate via geometrically adapted gradient descent in Deep Learning","abstract":"We consider the scenario of supervised learning in Deep Learning (DL) networks, and exploit the arbitrariness of choice in the Riemannian metric relative to which the gradient descent flow can be defined (a general fact of differential geometry). In the standard approach to DL, the gradient flow on the space of parameters (weights and biases) is defined with respect to the Euclidean metric. Here instead, we choose th","authors":["Chen, Thomas"],"url":"https://arxiv.org/abs/2311.15487","arxiv_id":"2311.15487","published":"2026-05-26"},{"title":"Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms","abstract":"Evolutionary Reinforcement Learning (ERL), which integrates Evolutionary Algorithms (EAs) and Reinforcement Learning (RL) for optimization, has demonstrated remarkable performance advancements. By fusing both approaches, ERL has emerged as a promising research direction. This survey offers a comprehensive overview of the diverse research branches in ERL. Specifically, we systematically summarize recent advancements i","authors":["Li, Pengyi","Hao, Jianye","Tang, Hongyao","Fu, Xian","Zheng, Yan","Tang, Ke"],"url":"https://arxiv.org/abs/2401.11963","arxiv_id":"2401.11963","published":"2026-05-26"},{"title":"Trained quantum neural networks are Gaussian processes","abstract":"We study quantum neural networks made by parametric one-qubit gates and fixed two-qubit gates in the limit of infinite width, where the generated function is the expectation value of the sum of single-qubit observables over all the qubits. First, we prove that the probability distribution of the function generated by the untrained network with randomly initialized parameters converges in distribution to a Gaussian pr","authors":["Girardi, Filippo","De Palma, Giacomo"],"url":"https://arxiv.org/abs/2402.08726","arxiv_id":"2402.08726","published":"2026-05-26"},{"title":"Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining","abstract":"Graphs with abundant attributes are essential in modeling interconnected entities and enhancing predictions across various real-world applications. Traditional Graph Neural Networks (GNNs) often require re-training for different graph tasks and datasets. Although the emergence of Large Language Models (LLMs) has introduced new paradigms in natural language processing, their potential for generic graph mining, trainin","authors":["Tan, Yanchao","Lv, Hang","Zhan, Pengxiang","Wang, Shiping","Yang, Carl"],"url":"https://arxiv.org/abs/2403.04780","arxiv_id":"2403.04780","published":"2026-05-26"},{"title":"The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks","abstract":"Lexical Semantic Change Detection (LSCD) is a complex, lemma-level task, which is usually operationalized based on two subsequently applied usage-level tasks: First, Word-in-Context (WiC) labels are derived for pairs of usages. Then, these labels are represented in a graph on which Word Sense Induction (WSI) is applied to derive sense clusters. Finally, LSCD labels are derived by comparing sense clusters over time. T","authors":["Schlechtweg, Dominik","Yadav, Sachin","Kuhn, Jonas","Arefyev, Nikolay"],"url":"https://arxiv.org/abs/2404.00176","arxiv_id":"2404.00176","published":"2026-05-26"},{"title":"Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System","abstract":"Recommender systems play a crucial role in internet economies by connecting users with relevant products. However, designing effective recommender systems faces the key challenges: the exploration-exploitation tradeoff in securing incentive to explore new products against user's self-interested preferences. While prior work addresses Bayesian Incentive Compatibility (BIC) in fixed-design linear bandits (Sellke &a","authors":["Li, Yuantong","Cheng, Guang","Dai, Xiaowu"],"url":"https://arxiv.org/abs/2406.04374","arxiv_id":"2406.04374","published":"2026-05-26"},{"title":"The Wisdom of a Crowd of Brains: A Universal Brain Encoder","abstract":"Image-to-fMRI encoding is important for both neuroscience research and practical applications. However, such "Brain-Encoders" have been typically trained per-subject and per fMRI-dataset, thus restricted to very limited training data. In this paper we propose a Universal Brain-Encoder, which can be trained jointly on data from many different subjects/datasets/machines. What makes this possible is our new voxe","authors":["Beliy, Roman","Wasserman, Navve","Zalcher, Amit","Irani, Michal"],"url":"https://arxiv.org/abs/2406.12179","arxiv_id":"2406.12179","published":"2026-05-26"},{"title":"CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes","abstract":"Semantic segmentation, as a crucial component of complex visual interpretation, plays a fundamental role in autonomous vehicle vision systems. Recent studies have significantly improved the accuracy of semantic segmentation by exploiting complementary information and developing multimodal methods. Despite the gains in accuracy, multimodal semantic segmentation methods suffer from high computational complexity and low","authors":["Qashqai, Danial","Mousavian, Emad","Shokouhi, Shahriar Baradaran","Mirzakuchaki, Sattar"],"url":"https://arxiv.org/abs/2407.01328","arxiv_id":"2407.01328","published":"2026-05-26"},{"title":"Retrieved In-Context Principles from Previous Mistakes","abstract":"In-context learning (ICL) has been instrumental in adapting Large Language Models (LLMs) to downstream tasks using correct input-output examples. Recent advances have attempted to improve model performance through principles derived from mistakes, yet these approaches suffer from lack of customization and inadequate error coverage. To address these limitations, we propose Retrieved In-Context Principles (RICP), a nov","authors":["Sun, Hao","Jiang, Yong","Wang, Bo","Hou, Yingyan","Zhang, Yan","Xie, Pengjun"],"url":"https://arxiv.org/abs/2407.05682","arxiv_id":"2407.05682","published":"2026-05-26"},{"title":"SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation","abstract":"In medical image segmentation, specialized computer vision techniques, notably transformers grounded in attention mechanisms and residual networks employing skip connections, have been instrumental in advancing performance. Nonetheless, previous models often falter when segmenting small, irregularly shaped tumors. To this end, we introduce SMAFormer, an efficient, Transformer-based architecture that fuses multiple at","authors":["Zheng, Fuchen","Chen, Xuhang","Liu, Weihuang","Li, Haolun","Lei, Yingtie","He, Jiahui"],"url":"https://arxiv.org/abs/2409.00346","arxiv_id":"2409.00346","published":"2026-05-26"},{"title":"A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs","abstract":"Deep convolutional neural networks (CNNs) have achieved impressive performance in many computer vision tasks. However, their large model sizes require heavy computational resources, making pruning redundant filters from existing pre-trained CNNs an essential task in developing efficient models for resource-constrained devices. Whole-network filter pruning algorithms prune varying fractions of filters from each layer,","authors":["Purohit, Kiran","Parvathgari, Anurag Reddy","Bhattacharya, Sourangshu"],"url":"https://arxiv.org/abs/2409.03777","arxiv_id":"2409.03777","published":"2026-05-26"},{"title":"The Impact of Large Language Models on Open-source Innovation: Evidence from GitHub Copilot","abstract":"Large Language Models (LLMs) are reshaping knowledge work, yet their impact on voluntary, self-guided open innovation forums (contributors choose tasks without managerial direction) may differ fundamentally from effects observed in organizational settings. We study this question in open-source software development, where individuals' contributions collectively drive innovation at a community level. Unlike product","authors":["Yeverechyahu, Doron","Mayya, Raveesh","Oestreicher-Singer, Gal"],"url":"https://arxiv.org/abs/2409.08379","arxiv_id":"2409.08379","published":"2026-05-26"},{"title":"Investigating the Effect of Network Pruning on Performance and Interpretability","abstract":"Deep Neural Networks (DNNs) are often over-parameterized for their tasks and can be compressed quite drastically by removing weights, a process called pruning. We investigate the impact of different pruning techniques on the classification performance and interpretability of GoogLeNet. We systematically apply unstructured and structured pruning, as well as connection sparsity (pruning of input weights) methods to the","authors":["von Rad, Jonathan","Seuffert, Florian"],"url":"https://arxiv.org/abs/2409.19727","arxiv_id":"2409.19727","published":"2026-05-26"},{"title":"DeIDClinic: A Risk-Aware Pseudonymization Framework for Clinical Text De-identification and Re-identification Risk Assessment","abstract":"The increasing availability of sensitive textual data has created an urgent need for robust de-identification methods that enable compliant data sharing while preserving downstream utility. This paper presents DeID-Clinic, a multi-layered framework for automated pseudonymization and re-identification risk assessment of clinical free-text data. Our approach integrates domain-adapted transformer models, including BioBE","authors":["Paul, Angel","Shaji, Dhivin","Han, Lifeng","Del-Pinto, Warren","Nenadic, Goran","Verberne, Suzan"],"url":"https://arxiv.org/abs/2410.01648","arxiv_id":"2410.01648","published":"2026-05-26"},{"title":"Querying structural and functional niches on spatial transcriptomics data","abstract":"Cells in multicellular organisms coordinate to form structural and functional niches. With spatial transcriptomics (ST) enabling gene expression profiling in spatial contexts, it has been revealed that spatial niches serve as cohesive and recurrent units in physiological and pathological processes. These observations suggest universal tissue organization principles encoded by conserved niche patterns, and call for a ","authors":["Chen, Mo","Hao, Minsheng","Liu, Xinquan","Deng, Lin","Liu, Peng","Li, Chen"],"url":"https://arxiv.org/abs/2410.10652","arxiv_id":"2410.10652","published":"2026-05-26"},{"title":"MambaBEV: An EV-based 3D detection model with Mamba2","abstract":"Accurate 3D object detection in autonomous driving relies on Bird's Eye View (BEV) perception and effective temporal fusion. However, existing fusion strategies based on convolutional layers or deformable self-attention struggle to model global context in BEV space, leading to reduced accuracy for large objects.To address this limitation, we propose MambaBEV, a novel BEV-based 3D object detection model that lever","authors":["You, Zihan","Wang, Ni","Wang, Hao","Zhao, Qichao","Wang, Jinxiang"],"url":"https://arxiv.org/abs/2410.12673","arxiv_id":"2410.12673","published":"2026-05-26"},{"title":"Uncovering Autoregressive LLM Knowledge of Thematic Fit in Event Representation","abstract":"The thematic fit estimation task measures semantic arguments' compatibility with a given semantic role for a given predicate. We investigate if autoregressive LLMs have consistent, expressible knowledge of event arguments' thematic fit by experimenting with various prompt designs, manipulating input context, reasoning, and output forms. We set a new state-of-the-art on thematic fit benchmarks, but show that c","authors":["Alshemali, Safeyah Khaled","Bauer, Daniel","Marton, Yuval"],"url":"https://arxiv.org/abs/2410.15173","arxiv_id":"2410.15173","published":"2026-05-26"},{"title":"The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections","abstract":"Visual content on social media has become increasingly influential in shaping political discourse and civic engagement, but it also limits participation due to the increased cost of multimedia production. In tandem, the growth of generative AI provides novel ways for citizens to participate in politics by lowering these costs. Drawing on a dataset of 239,526 Instagram images, we analyze the effects of synthetic image","authors":["Chang, Ho-Chun Herbert","Shaman, Benjamin","Chen, Yung-chun","Zha, Mingyue","Noh, Sean","Wei, Chiyu"],"url":"https://arxiv.org/abs/2411.00934","arxiv_id":"2411.00934","published":"2026-05-26"},{"title":"A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations","abstract":"We propose a scalable preconditioned primal-dual hybrid gradient algorithm for solving partial differential equations (PDEs). We multiply the PDE with a dual test function to obtain an inf-sup problem whose loss functional involves lower-order differential operators. The Primal-Dual Hybrid Gradient (PDHG) algorithm is then leveraged for this saddle point problem. By introducing suitable precondition operators to the ","authors":["Liu, Shu","Osher, Stanley","Li, Wuchen"],"url":"https://arxiv.org/abs/2411.06278","arxiv_id":"2411.06278","published":"2026-05-26"}],"history":{"events":[{"year":2025,"text":"A car rammed into a crowd on Water Street, Liverpool, injuring 65 people.","url":"https://en.wikipedia.org/wiki/2025_Liverpool_parade_attack"},{"year":2020,"text":"Protests following the murder of George Floyd erupted in Minneapolis–Saint Paul before spreading across the United States and internationally.","url":"https://en.wikipedia.org/wiki/George_Floyd_protests"},{"year":2002,"text":"Barges being towed destroyed part of a bridge (aftermath pictured) near Webbers Falls, Oklahoma, causing vehicles to fall into the Robert S. Kerr Reservoir on the Arkansas River.","url":"https://en.wikipedia.org/wiki/I-40_bridge_disaster"},{"year":1999,"text":"Manchester United won the UEFA Champions League final to become the first English football club to win three major championships in the same season.","url":"https://en.wikipedia.org/wiki/Manchester_United_F.C."},{"year":1989,"text":"Tropical Storm Cecil dissipated over Laos after devastating Quảng Nam province, Vietnam, and causing the deaths of 751 people.","url":"https://en.wikipedia.org/wiki/Tropical_Storm_Cecil"},{"year":1967,"text":"The Beatles' Sgt. Pepper's Lonely Hearts Club Band, one of the first progressive rock albums, was released.","url":"https://en.wikipedia.org/wiki/The_Beatles"},{"year":1940,"text":"Second World War: The Allies began a mass evacuation of British, French and Belgian troops cut off by the German army during the Battle of Dunkirk.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1938,"text":"The House Un-American Activities Committee was established to investigate alleged disloyalty and subversive activities by people or organizations in the U.S. suspected of having communist or fascist ties.","url":"https://en.wikipedia.org/wiki/House_Un-American_Activities_Committee"},{"year":1933,"text":"American singer Jimmie Rodgers died at the Taft Hotel in New York City.","url":"https://en.wikipedia.org/wiki/Jimmie_Rodgers"},{"year":1932,"text":"Donoghue v Stevenson is decided, ultimately establishing the foundation for negligence in common law jurisdictions worldwide.","url":"https://en.wikipedia.org/wiki/Donoghue_v_Stevenson"},{"year":1906,"text":"Vauxhall Bridge in London opened, crossing the River Thames between Vauxhall and Westminster.","url":"https://en.wikipedia.org/wiki/Vauxhall_Bridge"},{"year":1897,"text":"The Church of England returned the original manuscript of William Bradford's Of Plymouth Plantation, an account of the Pilgrims and the early years of the Plymouth Colony, to the state of Massachusetts.","url":"https://en.wikipedia.org/wiki/Church_of_England"},{"year":1894,"text":"Germany's Emanuel Lasker defeated Wilhelm Steinitz to become the world chess champion, beginning a record 27-year reign.","url":"https://en.wikipedia.org/wiki/Emanuel_Lasker"},{"year":1888,"text":"The comic novel The Diary of a Nobody by brothers George and Weedon Grossmith first appeared in serial form in Punch.","url":"https://en.wikipedia.org/wiki/The_Diary_of_a_Nobody"},{"year":1868,"text":"The impeachment trial of Andrew Johnson adjourned after the second and third articles of impeachment did not obtain enough votes from the U.S. Senate to convict.","url":"https://en.wikipedia.org/wiki/Impeachment_trial_of_Andrew_Johnson"},{"year":1865,"text":"American Civil War: General Edmund Kirby Smith negotiated the surrender of his army, the only significant Confederate Army force remaining in the war.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1822,"text":"The deadliest fire in Norwegian history occurred at a church in Grue, killing at least 113 people.","url":"https://en.wikipedia.org/wiki/Grue_Church_fire"},{"year":1644,"text":"Portuguese Restoration War: Portuguese and Spanish forces both claimed victory at the Battle of Montijo.","url":"https://en.wikipedia.org/wiki/Portuguese_Restoration_War"}],"births":[{"year":2000,"text":"Yeji, South Korean singer","url":"https://en.wikipedia.org/wiki/Yeji_(singer)"},{"year":1999,"text":"Micah Parsons, American football player","url":"https://en.wikipedia.org/wiki/Micah_Parsons"},{"year":1999,"text":"Georgia Wareham, Australian cricketer","url":"https://en.wikipedia.org/wiki/Georgia_Wareham"},{"year":1997,"text":"Mathew Barzal, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Mathew_Barzal"},{"year":1996,"text":"Lara Goodall, South African cricketer","url":"https://en.wikipedia.org/wiki/Lara_Goodall"},{"year":1994,"text":"Gong Myung, South Korean actor","url":"https://en.wikipedia.org/wiki/Gong_Myung"},{"year":1993,"text":"Jason Adesanya, Belgian footballer","url":"https://en.wikipedia.org/wiki/Jason_Adesanya"},{"year":1991,"text":"Ah Young, South Korean singer and actress","url":"https://en.wikipedia.org/wiki/Ah_Young"}],"deaths":[{"year":2022,"text":"Andy Fletcher, English musician (born 1961)","url":"https://en.wikipedia.org/wiki/Andy_Fletcher_(musician)"},{"year":2022,"text":"Ray Liotta, American actor (born 1954)","url":"https://en.wikipedia.org/wiki/Ray_Liotta"},{"year":2022,"text":"Alan White, English drummer (born 1949)","url":"https://en.wikipedia.org/wiki/Alan_White_(Yes_drummer)"},{"year":2019,"text":"Prem Tinsulanonda, Former Prime Minister of Thailand (born 1920)","url":"https://en.wikipedia.org/wiki/Prem_Tinsulanonda"},{"year":2017,"text":"Zbigniew Brzezinski, Polish-born American politician (born 1928)","url":"https://en.wikipedia.org/wiki/Zbigniew_Brzezinski"},{"year":2016,"text":"Hedy Epstein, German-born American human rights activist and Holocaust survivor (born 1924)","url":"https://en.wikipedia.org/wiki/Hedy_Epstein"},{"year":2015,"text":"Vicente Aranda, Spanish director, producer, and screenwriter (born 1926)","url":"https://en.wikipedia.org/wiki/Vicente_Aranda"},{"year":2015,"text":"Les Johnson, Australian politician and diplomat, Australian High Commissioner to New Zealand (born 1924)","url":"https://en.wikipedia.org/wiki/Les_Johnson"}]},"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."}