{"date":"2026-02-12","schema_version":1,"captured_at":"2026-08-25T23:28:36.678Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"James Van Der Beek","views":1882964,"rank":2,"extract":"James David Van Der Beek was an American actor. Known for his portrayal of Dawson Leery on The WB's Dawson's Creek (1998–2003), he also played a fictionalized version of himself on the cult ABC sitcom Don't Trust the B---- in Apartment 23 (2012–2013), starred ","url":"https://en.wikipedia.org/wiki/James_Van_Der_Beek","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/6f/JamesVanDerBeekSept2013TIFF_%28cropped%29.jpg/330px-JamesVanDerBeekSept2013TIFF_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Jeffrey Epstein","views":504797,"rank":4,"extract":"Jeffrey Edward Epstein was an American financier and child sex offender. 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She was investigated after an unusual cluster of deaths ","url":"https://en.wikipedia.org/wiki/Lucy_Letby","thumb":"https://upload.wikimedia.org/wikipedia/en/8/87/Lucy_Letby_mugshot.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Dawson's Creek","views":91967,"rank":33,"extract":"Dawson's Creek is an American teen drama television series about the lives of a close-knit group of friends in the fictional town of Capeside, Massachusetts, beginning in high school and continuing into college. It aired from January 20, 1998, to May 14, 2003,","url":"https://en.wikipedia.org/wiki/Dawson's_Creek","thumb":null},{"title":"Madison Chock","views":89423,"rank":35,"extract":"Madison Laʻakea Te-Lan Hall Chock is an American ice dancer. 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A \"school shooting\" is defined by this li","url":"https://en.wikipedia.org/wiki/List_of_school_shootings_in_Canada","thumb":null},{"title":"Virginia Giuffre","views":85454,"rank":39,"extract":"Virginia Lee Roberts Giuffre was an American and Australian advocate for survivors of sex trafficking and one of the most prominent accusers of Jeffrey Epstein. Giuffre provided detailed allegations to media outlets about Epstein and Ghislaine Maxwell. She all","url":"https://en.wikipedia.org/wiki/Virginia_Giuffre","thumb":"https://upload.wikimedia.org/wikipedia/en/0/04/Virginia_Lee_Roberts_Giuffre.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"}],"frontier":[{"title":"An AI agent published a hit piece on me","points":2346,"comments":951,"url":"https://theshamblog.com/an-ai-agent-published-a-hit-piece-on-me/","discussion":"https://news.ycombinator.com/item?id=46990729"},{"title":"Gemini 3 Deep Think","points":1081,"comments":693,"url":"https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think/","discussion":"https://news.ycombinator.com/item?id=46991240"},{"title":"Warcraft III Peon Voice Notifications for Claude Code","points":1006,"comments":301,"url":"https://github.com/tonyyont/peon-ping","discussion":"https://news.ycombinator.com/item?id=46985151"},{"title":"AI agent opens a PR write a blogpost to shames the maintainer who closes it","points":953,"comments":750,"url":"https://github.com/matplotlib/matplotlib/pull/31132","discussion":"https://news.ycombinator.com/item?id=46987559"},{"title":"GPT‑5.3‑Codex‑Spark","points":890,"comments":387,"url":"https://openai.com/index/introducing-gpt-5-3-codex-spark/","discussion":"https://news.ycombinator.com/item?id=46992553"},{"title":"Resizing windows on macOS Tahoe – the saga continues","points":876,"comments":522,"url":"https://noheger.at/blog/2026/02/12/resizing-windows-on-macos-tahoe-the-saga-continues/","discussion":"https://news.ycombinator.com/item?id=46997008"},{"title":"Improving 15 LLMs at Coding in One Afternoon. 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We analyze an adaptive classifier (adaptive with respect to the sparsity $s$) that first performs dimension reduction on the feature vectors","authors":["Chen, Yin-Jen","Tang, Minh"],"url":"https://arxiv.org/abs/2110.01950","arxiv_id":"2110.01950","published":"2026-02-12"},{"title":"MITI: SLAM Benchmark for Laparoscopic Surgery","abstract":"We propose a new benchmark for evaluating stereoscopic visual-inertial computer vision algorithms (SLAM/ SfM/ 3D Reconstruction/ Visual-Inertial Odometry) for minimally invasive surgical (MIS) interventions in the abdomen. Our MITI Dataset available at [https://mediatum.ub.tum.de/1621941] provides all the necessary data by a complete recording of a handheld surgical intervention at Research Hospital Rechts der Isar o","authors":["Hartwig, Regine","Ostler, Daniel","Rosenthal, Jean-Claude","Feußner, Hubertus","Wilhelm, Dirk","Wollherr, Dirk"],"url":"https://arxiv.org/abs/2202.11496","arxiv_id":"2202.11496","published":"2026-02-12"},{"title":"Neural Score Matching for High-Dimensional Causal Inference","abstract":"Traditional methods for matching in causal inference are impractical for high-dimensional datasets. They suffer from the curse of dimensionality: exact matching and coarsened exact matching find exponentially fewer matches as the input dimension grows, and propensity score matching may match highly unrelated units together. To overcome this problem, we develop theoretical results which motivate the use of neural netw","authors":["Clivio, Oscar","Falck, Fabian","Lehmann, Brieuc","Deligiannidis, George","Holmes, Chris"],"url":"https://arxiv.org/abs/2203.00554","arxiv_id":"2203.00554","published":"2026-02-12"},{"title":"Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior","abstract":"The lung airway tree modeling is essential to work for the diagnosis of pulmonary diseases, especially for X-Ray computed tomography (CT). The airway tree modeling on CT images can provide the experts with 3-dimension measurements like wall thickness, etc. This information can tremendously aid the diagnosis of pulmonary diseases like chronic obstructive pulmonary disease [1-4]. Many scholars have attempted various wa","authors":["Chien, Hsiang-Chin","Wang, Ching-Ping","Chen, Jung-Chih","Lee, Chia-Yen"],"url":"https://arxiv.org/abs/2208.13969","arxiv_id":"2208.13969","published":"2026-02-12"},{"title":"When does Metropolized Hamiltonian Monte Carlo provably outperform Metropolis-adjusted Langevin algorithm?","abstract":"We analyze the mixing time of Metropolized Hamiltonian Monte Carlo (HMC) with the leapfrog integrator to sample from a distribution on $\\mathbb{R}^d$ whose log-density is smooth, has Lipschitz Hessian in Frobenius norm and satisfies isoperimetry. We bound the gradient complexity to reach $ε$ error in total variation distance from a warm start by $\\tilde O(d^{1/4}\\text{polylog}(1/ε))$ and demonstrate the benefit of ch","authors":["Chen, Yuansi","Gatmiry, Khashayar","Jiang, Minhui"],"url":"https://arxiv.org/abs/2304.04724","arxiv_id":"2304.04724","published":"2026-02-12"},{"title":"AutoLungDx: A Hybrid Deep Learning Approach for Early Lung Cancer Diagnosis Using 3D Res-U-Net, YOLOv5, and Vision Transformers","abstract":"Lung cancer is a leading cause of cancer-related deaths worldwide, and early detection is crucial for improving patient outcomes. Nevertheless, early diagnosis of cancer is a major challenge, particularly in low-resource settings where access to medical resources and trained radiologists is limited. The objective of this study is to propose an automated end-to-end deep learning-based framework for the early detection","authors":["Shuvo, Samiul Based","Mamun, Tasnia Binte"],"url":"https://arxiv.org/abs/2305.00046","arxiv_id":"2305.00046","published":"2026-02-12"},{"title":"Structured Sentiment Analysis as Transition-based Dependency Graph Parsing","abstract":"Structured sentiment analysis (SSA) aims to automatically extract people's opinions from a text in natural language and adequately represent that information in a graph structure. One of the most accurate methods for performing SSA was recently proposed and consists of approaching it as a dependency graph parsing task. Although we can find in the literature how transition-based algorithms excel in different depen","authors":["Fernández-González, Daniel"],"url":"https://arxiv.org/abs/2305.05311","arxiv_id":"2305.05311","published":"2026-02-12"},{"title":"Fine-grained Analysis of Non-parametric Estimation for Pairwise Learning","abstract":"In this paper, we are concerned with the generalization performance of non-parametric estimation for pairwise learning. Most of the existing work requires the hypothesis space to be convex or a VC-class, and the loss to be convex. However, these restrictive assumptions limit the applicability of the results in studying many popular methods, especially kernel methods and neural networks. We significantly relax these r","authors":["Zhou, Junyu","Huang, Shuo","Feng, Han","Wang, Puyu","Zhou, Ding-Xuan"],"url":"https://arxiv.org/abs/2305.19640","arxiv_id":"2305.19640","published":"2026-02-12"},{"title":"Brain2Music: Reconstructing Music from Human Brain Activity","abstract":"The process of reconstructing experiences from human brain activity offers a unique lens into how the brain interprets and represents the world. In this paper, we introduce a method for reconstructing music from brain activity, captured using functional magnetic resonance imaging (fMRI). Our approach uses either music retrieval or the MusicLM music generation model conditioned on embeddings derived from fMRI data. Th","authors":["Denk, Timo I.","Takagi, Yu","Matsuyama, Takuya","Agostinelli, Andrea","Nakai, Tomoya","Frank, Christian"],"url":"https://arxiv.org/abs/2307.11078","arxiv_id":"2307.11078","published":"2026-02-12"},{"title":"Adaptive Input-image Normalization for Solving the Mode Collapse Problem in GAN-based X-ray Images","abstract":"Biomedical image datasets can be imbalanced due to the rarity of targeted diseases. Generative Adversarial Networks play a key role in addressing this imbalance by enabling the generation of synthetic images to augment datasets. It is important to generate synthetic images that incorporate a diverse range of features to accurately represent the distribution of features present in the training imagery. Furthermore, th","authors":["Saad, Muhammad Muneeb","Rehmani, Mubashir Husain","O'Reilly, Ruairi"],"url":"https://arxiv.org/abs/2309.12245","arxiv_id":"2309.12245","published":"2026-02-12"},{"title":"Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data","abstract":"Characterizing the relationship between neural population activity and behavioral data is a central goal of neuroscience. While latent variable models (LVMs) are successful in describing high-dimensional time-series data, they are typically only designed for a single type of data, making it difficult to identify structure shared across different experimental data modalities. Here, we address this shortcoming by propo","authors":["Gondur, Rabia","Sikandar, Usama Bin","Schaffer, Evan","Aoi, Mikio Christian","Keeley, Stephen L"],"url":"https://arxiv.org/abs/2310.03111","arxiv_id":"2310.03111","published":"2026-02-12"},{"title":"LLMs as Hackers: Autonomous Linux Privilege Escalation Attacks","abstract":"Penetration-testing is crucial for identifying system vulnerabilities, with privilege-escalation being a critical subtask to gain elevated access to protected resources. Language Models (LLMs) presents new avenues for automating these security practices by emulating human behavior. However, a comprehensive understanding of LLMs' efficacy and limitations in performing autonomous Linux privilege-escalation attacks ","authors":["Happe, Andreas","Kaplan, Aaron","Cito, Juergen"],"url":"https://arxiv.org/abs/2310.11409","arxiv_id":"2310.11409","published":"2026-02-12"},{"title":"Learning-based agricultural management in partially observable environments subject to climate variability","abstract":"Agricultural management, with a particular focus on fertilization strategies, holds a central role in shaping crop yield, economic profitability, and environmental sustainability. While conventional guidelines offer valuable insights, their efficacy diminishes when confronted with extreme weather conditions, such as heatwaves and droughts. In this study, we introduce an innovative framework that integrates Deep Reinf","authors":["Wang, Zhaoan","Xiao, Shaoping","Li, Junchao","Wang, Jun"],"url":"https://arxiv.org/abs/2401.01273","arxiv_id":"2401.01273","published":"2026-02-12"},{"title":"FedShift: Robust Federated Learning Aggregation Scheme in Resource Constrained Environment via Weight Shifting","abstract":"Federated Learning (FL) commonly relies on a central server to coordinate training across distributed clients. While effective, this paradigm suffers from significant communication overhead, impacting overall training efficiency. To mitigate this, prior work has explored compression techniques such as quantization. However, in heterogeneous FL settings, clients may employ different quantization levels based on their ","authors":["Seo, Jungwon","Kim, Minhoe","Rong, Chunming"],"url":"https://arxiv.org/abs/2402.01070","arxiv_id":"2402.01070","published":"2026-02-12"},{"title":"Provable Emergence of Deep Neural Collapse and Low-Rank Bias in $L^2$-Regularized Nonlinear Networks","abstract":"We present a unified theoretical framework connecting the first property of Deep Neural Collapse (DNC1) to the emergence of implicit low-rank bias in nonlinear networks trained with $L^2$ weight decay regularization. Our main contributions are threefold. First, we derive a quantitative relation between the Total Cluster Variation (TCV) of intermediate embeddings and the numerical rank of stationary weight matrices. I","authors":["Zangrando, Emanuele","Deidda, Piero","Brugiapaglia, Simone","Guglielmi, Nicola","Tudisco, Francesco"],"url":"https://arxiv.org/abs/2402.03991","arxiv_id":"2402.03991","published":"2026-02-12"},{"title":"Goal-Conditioned Reinforcement Learning from Sub-Optimal Data on Metric Spaces","abstract":"We study the problem of learning optimal behavior from sub-optimal datasets for goal-conditioned offline reinforcement learning under sparse rewards, invertible actions and deterministic transitions. To mitigate the effects of \\emph{distribution shift}, we propose MetricRL, a method that combines metric learning for value function approximation with weighted imitation learning for policy estimation. MetricRL avoids c","authors":["Reichlin, Alfredo","Vasco, Miguel","Yin, Hang","Kragic, Danica"],"url":"https://arxiv.org/abs/2402.10820","arxiv_id":"2402.10820","published":"2026-02-12"},{"title":"Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?","abstract":"Current state-of-the-art (SOTA) 3D object detection methods often require a large amount of 3D bounding box annotations for training. However, collecting such large-scale densely-supervised datasets is notoriously costly. To reduce the cumbersome data annotation process, we propose a novel sparsely-annotated framework, in which we just annotate one 3D object per scene. Such a sparse annotation strategy could signific","authors":["Gao, Chenqiang","Liu, Chuandong","Shu, Jun","Liu, Fangcen","Liu, Jiang","Yang, Luyu"],"url":"https://arxiv.org/abs/2403.02818","arxiv_id":"2403.02818","published":"2026-02-12"},{"title":"Diffusion posterior sampling for simulation-based inference in tall data settings","abstract":"Identifying the parameters of a non-linear model that best explain observed data is a core task across scientific fields. When such models rely on complex simulators, evaluating the likelihood is typically intractable, making traditional inference methods such as MCMC inapplicable. Simulation-based inference (SBI) addresses this by training deep generative models to approximate the posterior distribution over paramet","authors":["Linhart, Julia","Cardoso, Gabriel Victorino","Gramfort, Alexandre","Corff, Sylvain Le","Rodrigues, Pedro L. C."],"url":"https://arxiv.org/abs/2404.07593","arxiv_id":"2404.07593","published":"2026-02-12"},{"title":"Kernel-based Optimally Weighted Conformal Time-Series Prediction","abstract":"In this work, we present a novel conformal prediction method for time-series, which we call Kernel-based Optimally Weighted Conformal Prediction Intervals (KOWCPI). Specifically, KOWCPI adapts the classic Reweighted Nadaraya-Watson (RNW) estimator for quantile regression on dependent data and learns optimal data-adaptive weights. Theoretically, we tackle the challenge of establishing a conditional coverage guarantee ","authors":["Lee, Jonghyeok","Xu, Chen","Xie, Yao"],"url":"https://arxiv.org/abs/2405.16828","arxiv_id":"2405.16828","published":"2026-02-12"},{"title":"Games with Payments between Learning Agents","abstract":"In repeated games, such as auctions, players rely on autonomous learning agents to choose their actions. We study settings in which players have their agents make monetary transfers to other agents during play at their own expense, in order to influence learning dynamics in their favor. Our goal is to understand when players have incentives to use such payments, how payments between agents affect learning outcomes, a","authors":["Kolumbus, Yoav","Halpern, Joe","Tardos, Éva"],"url":"https://arxiv.org/abs/2405.20880","arxiv_id":"2405.20880","published":"2026-02-12"},{"title":"Tensor learning with orthogonal, Lorentz, and symplectic symmetries","abstract":"Tensors are a fundamental data structure for many scientific contexts, such as time series analysis, materials science, and physics, among many others. Improving our ability to produce and handle tensors is essential to efficiently address problems in these domains. In this paper, we show how to exploit the underlying symmetries of functions that map tensors to tensors. More concretely, we develop universally express","authors":["Gregory, Wilson G.","Tonelli-Cueto, Josué","Marshall, Nicholas F.","Lee, Andrew S.","Villar, Soledad"],"url":"https://arxiv.org/abs/2406.01552","arxiv_id":"2406.01552","published":"2026-02-12"},{"title":"Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning","abstract":"Recent advances in large-scale code generation models have led to remarkable progress in producing high-quality code. These models are trained in a self-supervised manner on extensive unlabeled code corpora using a decoder-only architecture. However, despite their generative strength, decoder-only models often exhibit limited performance on code understanding tasks such as code search and clone detection, primarily d","authors":["Lin, Jiayi","Wang, Yanlin","Yang, Yibiao","Zhang, Lei","Xie, Yutao"],"url":"https://arxiv.org/abs/2406.12326","arxiv_id":"2406.12326","published":"2026-02-12"},{"title":"Exponential time differencing for matrix-valued dynamical systems","abstract":"Matrix evolution equations occur in many applications, such as dynamical Lyapunov/Sylvester systems or Riccati equations in optimization and stochastic control, machine learning or data assimilation. In many such problems, the dominant stability restriction is imposed by a stiff linear term, making standard explicit integrators impractical. Exponential time differencing (ETD) is known to produce highly stable numeric","authors":["Shkeir, Nayef","Grafke, Tobias"],"url":"https://arxiv.org/abs/2406.13761","arxiv_id":"2406.13761","published":"2026-02-12"},{"title":"Implicit Probabilistic Reasoning Does Not Reflect Explicit Answers in Large Language Models","abstract":"The handling of probabilities in the form of uncertainty or partial information is an essential task for LLMs in many settings and applications. A common approach to evaluate an LLM's probabilistic reasoning capabilities is to assess its ability to answer questions pertaining to probability through the use of multiple-choice questions (MCQs). However, this paradigm, which we refer to as explicit probabilistic rea","authors":["Mondal, Manuel","Dolamic, Ljiljana","Bovet, Gérôme","Cudré-Mauroux, Philippe","Audiffren, Julien"],"url":"https://arxiv.org/abs/2406.14986","arxiv_id":"2406.14986","published":"2026-02-12"},{"title":"Synthetic data: How could it be used for infectious disease research?","abstract":"Over the last three to five years, it has become possible to generate machine learning synthetic data for healthcare-related uses. However, concerns have been raised about potential negative factors associated with the possibilities of artificial dataset generation. These include the potential misuse of generative artificial intelligence (AI) in fields such as cybercrime, the use of deepfakes and fake news to deceive","authors":["Fragkouli, Styliani-Christina","Solanki, Dhwani","Castro, Leyla J","Psomopoulos, Fotis E","Queralt-Rosinach, Núria","Cirillo, Davide"],"url":"https://arxiv.org/abs/2407.06211","arxiv_id":"2407.06211","published":"2026-02-12"}],"history":{"events":[{"year":2019,"text":"After being informed that its recently purchased coffin of Nedjemankh (pictured) had been looted, the Metropolitan Museum of Art shuttered its ongoing exhibition Nedjemankh and His Gilded Coffin two months early and later returned the artifact to Egypt.","url":"https://en.wikipedia.org/wiki/Coffin_of_Nedjemankh"},{"year":2016,"text":"In the first meeting between the leaders of the Catholic Church and the Russian Orthodox Church, Pope Francis and Patriarch Kirill of Moscow signed the Havana Declaration at José Martí International Airport in Cuba.","url":"https://en.wikipedia.org/wiki/Catholic_Church"},{"year":2009,"text":"Just before landing at Buffalo Niagara International Airport, Colgan Air Flight 3407 crashes into a house in Clarence Center, New York, killing the house's occupant and all 49 people on board the aircraft.","url":"https://en.wikipedia.org/wiki/Buffalo_Niagara_International_Airport"},{"year":2003,"text":"Protesters in La Paz and the Bolivian government brokered a deal to end two days of rioting against a proposed salary tax.","url":"https://en.wikipedia.org/wiki/La_Paz"},{"year":2001,"text":"The NASA space probe NEAR Shoemaker touched down on Eros, becoming the first spacecraft to land on an asteroid.","url":"https://en.wikipedia.org/wiki/NASA"},{"year":1994,"text":"Edvard Munch's painting The Scream (pictured) was stolen from the National Gallery of Norway.","url":"https://en.wikipedia.org/wiki/Edvard_Munch"},{"year":1993,"text":"Two-year-old James Bulger was led away from New Strand Shopping Centre in Bootle, England, and murdered by two 10-year-old boys, who became the youngest convicted murderers in modern English history.","url":"https://en.wikipedia.org/wiki/Murder_of_James_Bulger"},{"year":1988,"text":"While claiming the right of innocent passage through Soviet territorial waters in the Black Sea, the American cruiser USS Yorktown and destroyer USS Caron were bumped by Soviet warships.","url":"https://en.wikipedia.org/wiki/Innocent_passage"},{"year":1968,"text":"Following the deaths of two employees on the job, black sanitation workers in Memphis, Tennessee, began a strike that lasted more than two months.","url":"https://en.wikipedia.org/wiki/Death_of_Echol_Cole_and_Robert_Walker"},{"year":1945,"text":"A devistating tornado outbreak across Mississippi and Alabama kills 45 people and injures 427 others.","url":"https://en.wikipedia.org/wiki/Tornado_outbreak_of_February_12%2C_1945"},{"year":1942,"text":"The Imperial Japanese Army initiated the Battle of Pasir Panjang in Kent Ridge Park in Singapore.","url":"https://en.wikipedia.org/wiki/Imperial_Japanese_Army"},{"year":1935,"text":"USS Macon, one of the largest helium-filled airships ever created, crashed into the Pacific Ocean off the coast of California.","url":"https://en.wikipedia.org/wiki/USS_Macon_(ZRS-5)"},{"year":1924,"text":"George Gershwin's composition Rhapsody in Blue premiered at Aeolian Hall in New York.","url":"https://en.wikipedia.org/wiki/George_Gershwin"},{"year":1917,"text":"Mexican football club Toluca FC was founded by a group of local businessmen and sports enthusiasts.","url":"https://en.wikipedia.org/wiki/Toluca_FC"},{"year":1909,"text":"The ferry SS Penguin struck a rock in Wellington Harbour and sank, killing 75 people in New Zealand's worst maritime disaster of the 20th century.","url":"https://en.wikipedia.org/wiki/SS_Penguin"},{"year":1894,"text":"Ère des attentats: In one of the first acts of modern terrorism, Émile Henry threw a bomb into Café Terminus in Paris, France, killing one person and injuring 17 more.","url":"https://en.wikipedia.org/wiki/%C3%88re_des_attentats"},{"year":1855,"text":"The precursor of Michigan State University in East Lansing was founded as the United States' first agricultural college.","url":"https://en.wikipedia.org/wiki/Michigan_State_University"},{"year":1691,"text":"A papal conclave convened to select a new pope after the death of Pope Alexander VIII.","url":"https://en.wikipedia.org/wiki/1691_conclave"}],"births":[{"year":2001,"text":"Khvicha Kvaratskhelia, Georgian footballer","url":"https://en.wikipedia.org/wiki/Khvicha_Kvaratskhelia"},{"year":2000,"text":"Kim Ji-min, South Korean actress","url":"https://en.wikipedia.org/wiki/Kim_Ji-min_(actress)"},{"year":1994,"text":"Kemal Bilmez, Belgian politician","url":"https://en.wikipedia.org/wiki/Kemal_Bilmez"},{"year":1994,"text":"Arman Hall, American sprinter","url":"https://en.wikipedia.org/wiki/Arman_Hall"},{"year":1994,"text":"Paxton Lynch, American football player","url":"https://en.wikipedia.org/wiki/Paxton_Lynch"},{"year":1993,"text":"Bud Dupree, American football player","url":"https://en.wikipedia.org/wiki/Bud_Dupree"},{"year":1993,"text":"Rafinha, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Rafinha_(footballer%2C_born_February_1993)"},{"year":1993,"text":"Jennifer Stone, American actress","url":"https://en.wikipedia.org/wiki/Jennifer_Stone"}],"deaths":[{"year":2022,"text":"Ivan Reitman, Slovak-Canadian actor, director, and producer (born 1946)","url":"https://en.wikipedia.org/wiki/Ivan_Reitman"},{"year":2020,"text":"Christie Blatchford, Canadian newspaper columnist, journalist and broadcaster (born 1951)","url":"https://en.wikipedia.org/wiki/Christie_Blatchford"},{"year":2020,"text":"Geert Hofstede, Dutch social psychologist (born 1928)","url":"https://en.wikipedia.org/wiki/Geert_Hofstede"},{"year":2019,"text":"Gordon Banks, English footballer (born 1937)","url":"https://en.wikipedia.org/wiki/Gordon_Banks"},{"year":2019,"text":"Lyndon LaRouche, American political activist (born 1922)","url":"https://en.wikipedia.org/wiki/Lyndon_LaRouche"},{"year":2019,"text":"Pedro Morales, Puerto Rican professional wrestler and commentator (born 1942)","url":"https://en.wikipedia.org/wiki/Pedro_Morales"},{"year":2018,"text":"Bill Crider, American author (born 1941)","url":"https://en.wikipedia.org/wiki/Bill_Crider"},{"year":2017,"text":"Al Jarreau, American singer (born 1940)","url":"https://en.wikipedia.org/wiki/Al_Jarreau"}]},"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."}