{"date":"2026-08-06","schema_version":1,"captured_at":"2026-08-25T23:18:51.707Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Perez Hilton","views":723840,"rank":4,"extract":"Mario Armando Lavandeira Jr., known professionally as Perez Hilton, is an American blogger, columnist, and media personality. 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Arday received international attention and resigned amid accusations of plagiarism, false claims in his research, and f","url":"https://en.wikipedia.org/wiki/Jason_Arday","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/0/07/Jason_Arday_2024_%28cropped%29.jpg/330px-Jason_Arday_2024_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Max Miller (politician)","views":74497,"rank":29,"extract":"Max Leonard Miller is an American politician who has served as the U.S. representative for Ohio's 7th congressional district since 2023. 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Robertson subs","url":"https://en.wikipedia.org/wiki/Lloyd_Robertson","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/f/fa/Brian_Williams_and_Lloyd_Robertson.jpg/330px-Brian_Williams_and_Lloyd_Robertson.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Nirmal Purja","views":71332,"rank":32,"extract":"Nirmal Purja, also known as Nims or Nimsdai, was a Nepali-British mountaineer. Before pursuing a career in mountaineering, he served in the British Army with the Brigade of Gurkhas and later in the Special Boat Service (SBS), the special forces unit of the Roy","url":"https://en.wikipedia.org/wiki/Nirmal_Purja","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8f/NIRMAL_PURJA_%22NIMS%22.jpg/330px-NIRMAL_PURJA_%22NIMS%22.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Odyssey","views":69768,"rank":33,"extract":"The Odyssey is one of two major epics of ancient Greek literature attributed to Homer. It is one of the oldest surviving works of literature and remains popular with modern audiences. Like the Iliad, the Odyssey is divided into 24 books. 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Be lazy","points":170,"comments":79,"url":"https://refp.se/articles/your-shell-and-the-lazy-exclamation-mark","discussion":"https://news.ycombinator.com/item?id=49197565"},{"title":"High-Res Photo Shows Sand-Capped Butte Rising from Mars Plain of Polygons","points":169,"comments":18,"url":"https://petapixel.com/2026/08/04/amazing-high-res-photo-shows-a-butte-rising-from-mars/","discussion":"https://news.ycombinator.com/item?id=49194856"},{"title":"Inside vLLM: Anatomy of a High-Throughput LLM Inference System (2025)","points":151,"comments":10,"url":"https://www.aleksagordic.com/blog/vllm","discussion":"https://news.ycombinator.com/item?id=49202852"},{"title":"xAI, SpaceX, and the Race for AI Buildout","points":149,"comments":120,"url":"https://illegal.solutions/posts/xai_pollution","discussion":"https://news.ycombinator.com/item?id=49201342"},{"title":"Four simple rules behind Japan's most liveable cities","points":143,"comments":178,"url":"https://www.bbc.com/travel/article/20260805-four-simple-rules-behind-japans-most-liveable-cities","discussion":"https://news.ycombinator.com/item?id=49196174"}],"research":[{"title":"Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi","abstract":"Current computer vision tasks based on deep learning require a huge amount of data with annotations for model training or testing, especially in some dense estimation tasks, such as optical flow segmentation and depth estimation. In practice, manual labeling for dense estimation tasks is very difficult or even impossible, and the scenes of the dataset are often restricted to a small range, which dramatically limits t","authors":["Wang, Xiangtong","Liang, Binbin","Yang, Menglong","Li, Wei"],"url":"https://arxiv.org/abs/2008.08454","arxiv_id":"2008.08454","published":"2026-08-06"},{"title":"A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware","abstract":"Spiking Neural Networks (SNNs) have emerged as a hardware efficient architecture for classification tasks. The challenge of spike-based encoding has been the lack of a universal training mechanism performed entirely using spikes. There have been several attempts to adopt the powerful backpropagation (BP) technique used in non-spiking artificial neural networks (ANN): (1) SNNs can be trained by externally computed num","authors":["Biswas, Anmol","Saraswat, Vivek","Ganguly, Udayan"],"url":"https://arxiv.org/abs/2207.09755","arxiv_id":"2207.09755","published":"2026-08-06"},{"title":"Leveraging Machine Learning to Gain Insights on Quantum Thermodynamic Entropy","abstract":"We present a thermodynamic analysis of a quantum engine that uses a single quantum particle as its working fluid, inspired by Szilard's classical single-particle engine. Our design is modeled after the classically-chaotic Szilard Map and involves a thermodynamic cycle of measurement, thermal-energy extraction, and memory reset. Our focus is on investigating the thermodynamic costs associated with observing and co","authors":["P, Srinivasa Rao."],"url":"https://arxiv.org/abs/2305.06177","arxiv_id":"2305.06177","published":"2026-08-06"},{"title":"On The Suitability of Differential Dataflow For Datalog Interpretation In Highly Dynamic Settings","abstract":"In the domain of knowledge representation and reasoning within AI, datalog engines play an ever-increasingly crucial role. The crux of their operation lies in materialization: the evaluation of a data- log program and its incorporation into a database. This operation becomes complex and resource-intensive, especially when the data is highly dynamic, as it is common in distributed environments. Thus, incremental mater","authors":["de Lima, Bruno Rucy Carneiro Alves","Kramer, Merlin","Apinis, Kalmer"],"url":"https://arxiv.org/abs/2308.04214","arxiv_id":"2308.04214","published":"2026-08-06"},{"title":"Composing Reinforcement Learning Policies, with Formal Guarantees","abstract":"We propose a novel framework to controller design in environments with a two-level structure: a known high-level graph ("map") in which each vertex is populated by a Markov decision process, called a "room". The framework "separates concerns" by using different design techniques for low- and high-level tasks. We apply reactive synthesis for high-level tasks: given a specification as a logical ","authors":["Delgrange, Florent","Avni, Guy","Lukina, Anna","Schilling, Christian","Nowé, Ann","Pérez, Guillermo A."],"url":"https://arxiv.org/abs/2402.13785","arxiv_id":"2402.13785","published":"2026-08-06"},{"title":"Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection","abstract":"Phishing emails continue to pose a significant threat, causing financial losses and security breaches. This study addresses limitations in existing research, such as reliance on proprietary datasets and lack of real-world application, by proposing a high-performance machine learning model for email classification. Utilizing a comprehensive and largest available public dataset, the model achieves a f1 score of 0.99 an","authors":["Al-Subaiey, Abdulla","Al-Thani, Mohammed","Alam, Naser Abdullah","Antora, Kaniz Fatema","Khandakar, Amith","Zaman, SM Ashfaq Uz"],"url":"https://arxiv.org/abs/2405.11619","arxiv_id":"2405.11619","published":"2026-08-06"},{"title":"Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization","abstract":"This paper explores methods for verifying the properties of Binary Neural Networks (BNNs), focusing on robustness against adversarial attacks. Despite their lower computational and memory needs, BNNs, like their full-precision counterparts, are also sensitive to input perturbations. Established methods for solving this problem are predominantly based on Satisfiability Modulo Theories and Mixed-Integer Linear Programm","authors":["Yang, Jianting","Ðurašinović, Srećko","Lasserre, Jean-Bernard","Magron, Victor","Zhao, Jun"],"url":"https://arxiv.org/abs/2405.17049","arxiv_id":"2405.17049","published":"2026-08-06"},{"title":"E$^2$M: Double Bounded $α$-Divergence Optimization for Tensor-based Discrete Density Estimation","abstract":"Tensor-based discrete density estimation requires flexible modeling and proper divergence criteria to enable effective learning; however, traditional approaches using $α$-divergence face analytical challenges due to the $α$-power terms in the objective function, which hinder the derivation of closed-form update rules. We present a generalization of the expectation-maximization (EM) algorithm, called the E$^2$M algori","authors":["Ghalamkari, Kazu","Hinrich, Jesper Løve","Mørup, Morten"],"url":"https://arxiv.org/abs/2405.18220","arxiv_id":"2405.18220","published":"2026-08-06"},{"title":"BD-SAT: High-resolution Land Use Land Cover Dataset & Benchmark Results for Developing Division: Dhaka, BD","abstract":"Land Use Land Cover (LULC) analysis on satellite images using deep learning-based methods is significantly helpful in understanding the geography, socio-economic conditions, poverty levels, and urban sprawl in developing countries. Recent works involve segmentation with LULC classes such as farmland, built-up areas, forests, meadows, water bodies, etc. Training deep learning methods on satellite images requires large","authors":["Paul, Ovi","Nayem, Abu Bakar Siddik","Sarker, Anis","Ali, Amin Ahsan","Amin, M Ashraful","Rahman, AKM Mahbubur"],"url":"https://arxiv.org/abs/2406.05912","arxiv_id":"2406.05912","published":"2026-08-06"},{"title":"GFlowNet Training by Policy Gradients","abstract":"Generative Flow Networks (GFlowNets) have been shown effective to generate combinatorial objects with desired properties. We here propose a new GFlowNet training framework, with policy-dependent rewards, that bridges keeping flow balance of GFlowNets to optimizing the expected accumulated reward in traditional Reinforcement-Learning (RL). This enables the derivation of new policy-based GFlowNet training methods, in c","authors":["Niu, Puhua","Wu, Shili","Fan, Mingzhou","Qian, Xiaoning"],"url":"https://arxiv.org/abs/2408.05885","arxiv_id":"2408.05885","published":"2026-08-06"},{"title":"Unforgettable Generalization in Language Models","abstract":"When language models (LMs) are trained to forget (or "unlearn'') a skill, how precisely does their behavior change? We study the behavior of transformer LMs in which tasks have been forgotten via fine-tuning on randomized labels. Such LMs learn to generate near-random predictions for individual examples in the "training'' set used for forgetting. Across tasks, however, LMs exhibit extreme vari","authors":["Zhang, Eric","Choshen, Leshem","Andreas, Jacob"],"url":"https://arxiv.org/abs/2409.02228","arxiv_id":"2409.02228","published":"2026-08-06"},{"title":"LiveXiv -- A Multi-Modal Live Benchmark Based on Arxiv Papers Content","abstract":"The large-scale training of multi-modal models on data scraped from the web has shown outstanding utility in infusing these models with the required world knowledge to perform effectively on multiple downstream tasks. However, one downside of scraping data from the web can be the potential sacrifice of the benchmarks on which the abilities of these models are often evaluated. To safeguard against test data contaminat","authors":["Shabtay, Nimrod","Polo, Felipe Maia","Doveh, Sivan","Lin, Wei","Mirza, M. Jehanzeb","Choshen, Leshem"],"url":"https://arxiv.org/abs/2410.10783","arxiv_id":"2410.10783","published":"2026-08-06"},{"title":"AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering","abstract":"Protein engineering is important for biomedical applications, but conventional approaches are often inefficient and resource-intensive. While deep learning (DL) models have shown promise, their training or implementation into protein engineering remains challenging for biologists without specialized computational expertise. To address this gap, we propose AutoProteinEngine (AutoPE), an agent framework that leverages ","authors":["Liu, Yungeng","Chen, Zan","Wang, Yu Guang","Shen, Yiqing"],"url":"https://arxiv.org/abs/2411.04440","arxiv_id":"2411.04440","published":"2026-08-06"},{"title":"TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering","abstract":"The exponential growth in protein-related databases and scientific literature, combined with increasing demands for efficient biological information retrieval, has created an urgent need for unified and accessible search methods in protein engineering research. We present TourSynbio-Search, a novel bioinformatics search agent framework powered by the TourSynbio-7B protein multimodal large language model (LLM), design","authors":["Liu, Yungeng","Chen, Zan","Wang, Yu Guang","Shen, Yiqing"],"url":"https://arxiv.org/abs/2411.06024","arxiv_id":"2411.06024","published":"2026-08-06"},{"title":"Physics-informed Machine Learning for Battery Pack Thermal Management","abstract":"With the popularity of electric vehicles, the demand for lithium-ion batteries is increasing. Temperature significantly influences the performance and safety of batteries. Battery thermal management systems can effectively control the temperature of batteries; therefore, the performance and safety can be ensured. However, the development process of battery thermal management systems is time-consuming and costly due t","authors":["Liu, Zheng","Jiang, Yuan","Li, Yumeng","Wang, Pingfeng"],"url":"https://arxiv.org/abs/2411.09915","arxiv_id":"2411.09915","published":"2026-08-06"},{"title":"Comparative Analysis of Black-Box and White-Box Machine Learning Model in Phishing Detection","abstract":"Background: Explainability in phishing detection model can support a further solution of phishing attack mitigation by increasing trust and understanding how phishing can be detected. Objective: The aims of this study to determine and best recommendation to apply an approach which has several components with abilities to fulfil the critical needs Methods: A methodology starting with analyzing both black-box and white","authors":["Fajar, Abdullah","Yazid, Setiadi","Budi, Indra"],"url":"https://arxiv.org/abs/2412.02084","arxiv_id":"2412.02084","published":"2026-08-06"},{"title":"Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin","abstract":"Recent works exploring the training dynamics of homogeneous neural network weights under gradient flow with small initialization have established that in the early stages of training, the weights remain small and near the origin, but converge in direction. Building on this, the current paper studies the gradient flow dynamics of homogeneous neural networks with locally Lipschitz gradients, after they escape the origi","authors":["Kumar, Akshay","Haupt, Jarvis"],"url":"https://arxiv.org/abs/2502.15952","arxiv_id":"2502.15952","published":"2026-08-06"},{"title":"MathDebugger: Detecting and Diagnosing Errors in Synthetic Mathematical Data","abstract":"Synthetic mathematical data has become an important resource for scaling the reasoning capabilities of large language models, yet errors in generated questions and solutions can substantially undermine its value. We introduce MathDebugger, a type-aware benchmark for evaluating whether models can detect and diagnose errors in synthetic mathematical data. MathDebugger contains 2,000 correct questions, 2,000 erroneous q","authors":["Liang, Hao","Qiang, Meiyi","Li, Yuying","He, Zefeng","Ma, Xiaochen","An, Ruichuan"],"url":"https://arxiv.org/abs/2502.19058","arxiv_id":"2502.19058","published":"2026-08-06"},{"title":"Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification","abstract":"A non-invasive brain-computer interface (BCI) enables direct interaction between the user and external devices, typically via electroencephalogram (EEG) signals. However, decoding EEG signals across different headsets remains a significant challenge due to differences in the number and locations of the electrodes. To address this challenge, we propose a spatial distillation based distribution alignment (SDDA) approac","authors":["Liu, Dingkun","Li, Siyang","Wang, Ziwei","Li, Wei","Wu, Dongrui"],"url":"https://arxiv.org/abs/2503.05349","arxiv_id":"2503.05349","published":"2026-08-06"},{"title":"GRALS: GCN-Guided Redundancy-Aware Local Search for Minimum Vertex Cover","abstract":"The minimum vertex cover (MVC) problem seeks to identify the smallest set of vertices that cover all edges in an undirected graph. As a fundamental NP-hard combinatorial optimization problem, MVC has been widely studied due to its applications in network analysis and system design. For large-scale instances, local search heuristics are among the most effective approaches, offering a practical trade-off between soluti","authors":["Liu, Chanjuan","Bao, Qiqi","Zhang, Yu","Zhu, Enqiang"],"url":"https://arxiv.org/abs/2503.06396","arxiv_id":"2503.06396","published":"2026-08-06"},{"title":"Large-Small Model Collaboration for Enhancing Edge-Deployed Small Models","abstract":"Edge devices host domain-specific small language models (SLMs) with limited resources, while private clouds offer larger LLMs. We propose G-Boost, an adaptive edge-cloud framework that improves a deployed SLM's task performance without parameter updates. It formulates reasoning as a tree search, choosing at each step between SLM-only inference and SLM-LLM logit fusion---which transfers domain knowledge from the S","authors":["Liu, Peigen","Fan, Yijiang","Xu, Zixuan","Mao, Yuren","Lai, Longbin","Zhang, Ying"],"url":"https://arxiv.org/abs/2503.10367","arxiv_id":"2503.10367","published":"2026-08-06"},{"title":"Curiosity-Diffuser: Curiosity Guide Diffusion Models for Reliability","abstract":"One of the bottlenecks in robotic intelligence is the instability of neural network models. This leads to risks when applying intelligence in the physical world. Specifically, imitation policy based on neural network may generate hallucinations, leading to inaccurate behaviors that impact the safety of real-world applications. To address this issue, this paper proposes the Curiosity-Diffuser, aimed at guiding the con","authors":["Liu, Zihao","Liu, Xing","Dong, Yuhang","Chang, Haitao","Liu, Zhengxiong","Huang, Panfeng"],"url":"https://arxiv.org/abs/2503.14833","arxiv_id":"2503.14833","published":"2026-08-06"},{"title":"Temporal Context Awareness: A Defense Framework Against Multi-turn Manipulation Attacks on Large Language Models","abstract":"Large Language Models (LLMs) are increasingly vulnerable to sophisticated multi-turn manipulation attacks, where adversaries strategically build context through seemingly benign conversational turns to circumvent safety measures and elicit harmful or unauthorized responses. These attacks exploit the temporal nature of dialogue to evade single-turn detection methods, representing a critical security vulnerability with","authors":["Kulkarni, Prashant","Namer, Assaf"],"url":"https://arxiv.org/abs/2503.15560","arxiv_id":"2503.15560","published":"2026-08-06"},{"title":"ZoomV: Temporal Zoom-in for Efficient Long Video Understanding","abstract":"Long video understanding poses a fundamental challenge for large video-language models (LVLMs) due to the overwhelming number of frames and the risk of losing essential context through naive downsampling. Inspired by the way humans watch videos on mobile phones, constantly zooming in on frames of interest, we propose ZoomV, a query-aware temporal zoom-in framework designed for efficient and accurate long video unders","authors":["Zhang, Yuan","Pan, Junwen","Zhang, Rui","Wan, Xin","Zhang, Qizhe","Lu, Ming"],"url":"https://arxiv.org/abs/2504.01407","arxiv_id":"2504.01407","published":"2026-08-06"},{"title":"Review Text as a Leading Indicator of Displayed Reputation in Platform Rating Systems: Evidence from 34 U.S. Short-Term Rental Markets","abstract":"Rating systems on accommodation platforms suffer from a familiar problem: nearly every listing displays a nearly perfect score, so the number that is supposed to separate good listings from bad ones barely varies. Whether the review text accumulating beneath those scores still carries usable information is an open question. I ask a dynamic version of it: does the text guests have already written predict where a listi","authors":["Safari, Ali"],"url":"https://arxiv.org/abs/2504.14053","arxiv_id":"2504.14053","published":"2026-08-06"}],"history":{"events":[{"year":2013,"text":"A gas leak caused an explosion that collapsed a building and led to the deaths of 22 people in Rosario, Argentina.","url":"https://en.wikipedia.org/wiki/2013_Rosario_gas_explosion"},{"year":2011,"text":"A series of riots broke out in several London boroughs and in cities and towns across England in response to the shooting of Mark Duggan by Metropolitan Police officers.","url":"https://en.wikipedia.org/wiki/2011_England_riots"},{"year":2010,"text":"Flash floods, mudslides, and debris flows across Ladakh in Indian-administered Kashmir left at least 255 people dead.","url":"https://en.wikipedia.org/wiki/2010_Ladakh_floods"},{"year":2008,"text":"Mauritanian president Sidi Ould Cheikh Abdallahi was ousted from power by a group of high-ranking generals that he had dismissed from office several hours earlier.","url":"https://en.wikipedia.org/wiki/Sidi_Ould_Cheikh_Abdallahi"},{"year":1997,"text":"Korean Air Flight 801 crashed into a hill on approach to Antonio B. Won Pat International Airport in Guam, killing 228 of the 254 people aboard.","url":"https://en.wikipedia.org/wiki/Korean_Air_Flight_801"},{"year":1996,"text":"Researchers announced that the meteorite ALH84001 (pictured), discovered in the Allan Hills of Antarctica, may contain evidence of life on Mars, but further tests were inconclusive.","url":"https://en.wikipedia.org/wiki/Meteorite"},{"year":1991,"text":"British computer programmer Tim Berners-Lee posted a public invitation to collaborate on a system of interlinked, hypertext documents accessible via the Internet, known as the World Wide Web.","url":"https://en.wikipedia.org/wiki/Programmer"},{"year":1979,"text":"An earthquake struck along the Calaveras Fault near Coyote Lake, California, injuring sixteen people.","url":"https://en.wikipedia.org/wiki/1979_Coyote_Lake_earthquake"},{"year":1965,"text":"U.S. president Lyndon B. Johnson signed the Voting Rights Act into law, outlawing literacy tests and other discriminatory voting practices that had been responsible for the widespread disfranchisement of African Americans.","url":"https://en.wikipedia.org/wiki/Lyndon_B._Johnson"},{"year":1945,"text":"World War II: The U.S. Army Air Force bomber Enola Gay dropped the Little Boy atomic bomb on Hiroshima, Japan (mushroom cloud pictured), killing about 70,000 people instantly.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1944,"text":"World War II: Allied forces attacked German fortifications at Saint-Malo, France, beginning the Battle of Saint-Malo (pictured).","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1930,"text":"New York Supreme Court judge Joseph Force Crater disappeared in Manhattan, in a case that was never solved.","url":"https://en.wikipedia.org/wiki/New_York_Supreme_Court"},{"year":1892,"text":"The Anglo-Belgian India Rubber Company was founded in Antwerp to exploit natural rubber in the Congo Free State.","url":"https://en.wikipedia.org/wiki/Abir_Congo_Company"},{"year":1777,"text":"The Battle of Oriskany, one of the bloodiest battles of the American Revolutionary War, was fought about 6 mi (10 km) east of Fort Stanwix, New York.","url":"https://en.wikipedia.org/wiki/Battle_of_Oriskany"},{"year":1623,"text":"After the death of Gregory XV, a papal conclave in Rome elected Maffeo Barberini as Pope Urban VIII.","url":"https://en.wikipedia.org/wiki/Pope_Gregory_XV"},{"year":686,"text":"Second Fitna: Pro-Alid forces defeated the Umayyad Caliphate at the Battle of Khazir, allowing them to take control of Mosul in present-day Iraq.","url":"https://en.wikipedia.org/wiki/Second_Fitna"}],"births":[{"year":2004,"text":"Takhmina Ikromova, Uzbekistani rhythmic gymnast","url":"https://en.wikipedia.org/wiki/Takhmina_Ikromova"},{"year":2002,"text":"Nessa Barrett, American singer-songwriter","url":"https://en.wikipedia.org/wiki/Nessa_Barrett"},{"year":1999,"text":"Hunter Greene, American baseball player","url":"https://en.wikipedia.org/wiki/Hunter_Greene"},{"year":1999,"text":"Rebeka Masarova, Spanish-Swiss tennis player","url":"https://en.wikipedia.org/wiki/Rebeka_Masarova"},{"year":1995,"text":"Rebecca Peterson, Swedish tennis player","url":"https://en.wikipedia.org/wiki/Rebecca_Peterson"},{"year":1991,"text":"Wilmer Flores, Venezuelan baseball player","url":"https://en.wikipedia.org/wiki/Wilmer_Flores"},{"year":1991,"text":"Jiao Liuyang, Chinese swimmer","url":"https://en.wikipedia.org/wiki/Jiao_Liuyang"},{"year":1987,"text":"Leanne Crichton, Scottish footballer","url":"https://en.wikipedia.org/wiki/Leanne_Crichton"}],"deaths":[{"year":2024,"text":"Billy Bean, American baseball player (born 1964)","url":"https://en.wikipedia.org/wiki/Billy_Bean"},{"year":2024,"text":"Connie Chiume, South African actress and filmmaker (born 1952)","url":"https://en.wikipedia.org/wiki/Connie_Chiume"},{"year":2024,"text":"James Bjorken, American theoretical physicist (born 1934)","url":"https://en.wikipedia.org/wiki/James_Bjorken"},{"year":2020,"text":"Vern Rumsey, American bass guitarist (born 1973)","url":"https://en.wikipedia.org/wiki/Vern_Rumsey"},{"year":2018,"text":"Joël Robuchon, French Chef (born 1945)","url":"https://en.wikipedia.org/wiki/Jo%C3%ABl_Robuchon"},{"year":2018,"text":"Margaret Heckler, American politician (born 1931)","url":"https://en.wikipedia.org/wiki/Margaret_Heckler"},{"year":2018,"text":"Anya Krugovoy Silver, American poet (born 1968)","url":"https://en.wikipedia.org/wiki/Anya_Krugovoy_Silver"},{"year":2017,"text":"Betty Cuthbert, Australian sprinter (born 1938)","url":"https://en.wikipedia.org/wiki/Betty_Cuthbert"}]},"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."}