{"date":"2026-04-30","schema_version":1,"captured_at":"2026-08-25T23:38:59.336Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Nahui Ollin","views":620773,"rank":3,"extract":"Nahui Ollin is a 16th-century concept in Aztec/Mexica cosmology with a variety of meanings. Nahui translates to \"four,\" and Ollin translates to \"movement\" or \"motion.\" Ollin was primarily portrayed in Aztec codices as two interlaced lines, each portrayed with ","url":"https://en.wikipedia.org/wiki/Nahui_Ollin","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/14/Nahui_Ollin_Codex_Borbonicus_hieroglyph.jpg/330px-Nahui_Ollin_Codex_Borbonicus_hieroglyph.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 West Bengal Legislative Assembly election","views":283555,"rank":5,"extract":"Legislative Assembly elections were held in West Bengal to elect all 294 members of the West Bengal Legislative Assembly in two phases on 23 and 29 April 2026, with the votes counted and results for 293 seats released on 4 May 2026. 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AI","points":209,"comments":113,"url":"https://mikeoss.com/","discussion":"https://news.ycombinator.com/item?id=47956739"},{"title":"Full-Text Search with DuckDB","points":207,"comments":33,"url":"https://peterdohertys.website/blog-posts/full-text-search-w-duckdb.html","discussion":"https://news.ycombinator.com/item?id=47966254"}],"research":[{"title":"Choosing with unknown causal information: Action-outcome probabilities for decision making can be grounded in causal models","abstract":"Decision-making under uncertainty and causal thinking are fundamental aspects of intelligent reasoning. Decision-making has been well studied when the available information is considered at the associative (probabilistic) level. The classical Theorems of von Neumann-Morgenstern and Savage provide a formal criterion for rational choice using associative information: maximize expected utility. There is an ongoing debat","authors":["Soto, Mauricio Gonzalez","Danks, David","Balderas, Hugo J. Escalante","Sucar, L. Enrique"],"url":"https://arxiv.org/abs/1907.11752","arxiv_id":"1907.11752","published":"2026-04-30"},{"title":"Causal Structure Learning: a Bayesian approach based on random graphs","abstract":"A Random Graph is a random object which take its values in the space of graphs. We take advantage of the expressibility of graphs in order to model the uncertainty about the existence of causal relationships within a given set of variables. We adopt a Bayesian point of view in order to capture a causal structure via interaction and learning with a causal environment. We test our method over two different scenarios, a","authors":["Gonzalez-Soto, Mauricio","Feliciano-Avelino, Ivan R.","Sucar, L. Enrique","Balderas, Hugo J. Escalante"],"url":"https://arxiv.org/abs/2010.06164","arxiv_id":"2010.06164","published":"2026-04-30"},{"title":"Distribution-Free Stochastic Analysis and Robust Multilevel Vector Field Anomaly Detection","abstract":"Massive vector field datasets are common in multi-spectral optical and radar sensors, among many other emerging areas of application. We develop a novel stochastic functional (data) analysis approach for detecting anomalies based on the covariance structure of nominal stochastic behavior across a domain. An optimal vector field Karhunen-Loeve expansion is applied to such random field data. A series of multilevel orth","authors":["Castrillon-Candas, Julio E","Rosenbaum, Michael","Kon, Mark"],"url":"https://arxiv.org/abs/2207.06229","arxiv_id":"2207.06229","published":"2026-04-30"},{"title":"NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science","abstract":"NIMS-OS (NIMS Orchestration System) is a Python library created to realize a closed loop of robotic experiments and artificial intelligence (AI) without human intervention for automated materials exploration. It uses various combinations of modules to operate autonomously. Each module acts as an AI for materials exploration or a controller for a robotic experiments. As AI techniques, Bayesian optimization (PHYSBO), b","authors":["Tamura, Ryo","Tsuda, Koji","Matsuda, Shoichi"],"url":"https://arxiv.org/abs/2304.13927","arxiv_id":"2304.13927","published":"2026-04-30"},{"title":"Speech-Gesture GAN: Gesture Generation for Robots and Embodied Agents","abstract":"Embodied agents, in the form of virtual agents or social robots, are rapidly becoming more widespread. In human-human interactions, humans use nonverbal behaviours to convey their attitudes, feelings, and intentions. Therefore, this capability is also required for embodied agents in order to enhance the quality and effectiveness of their interactions with humans. In this paper, we propose a novel framework that can g","authors":["Liu, Carson Yu","Mohammadi, Gelareh","Song, Yang","Johal, Wafa"],"url":"https://arxiv.org/abs/2309.09346","arxiv_id":"2309.09346","published":"2026-04-30"},{"title":"Deep neural networks with ReLU, leaky ReLU, and softplus activation provably overcome the curse of dimensionality for Kolmogorov partial differential equations with Lipschitz nonlinearities in the $L^p$-sense","abstract":"Recently, several deep learning (DL) methods for approximating high-dimensional partial differential equations (PDEs) have been proposed. The interest that these methods have generated in the literature is in large part due to simulations which appear to demonstrate that such DL methods have the capacity to overcome the curse of dimensionality (COD) for PDEs in the sense that the number of computational operations th","authors":["Ackermann, Julia","Jentzen, Arnulf","Kruse, Thomas","Kuckuck, Benno","Padgett, Joshua Lee"],"url":"https://arxiv.org/abs/2309.13722","arxiv_id":"2309.13722","published":"2026-04-30"},{"title":"Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models","abstract":"Large Language Models (LLMs) like ChatGPT are foundational in various applications due to their extensive knowledge from pre-training and fine-tuning. Despite this, they are prone to generating factual and commonsense errors, raising concerns in critical areas like healthcare, journalism, and education to mislead users. Current methods for evaluating LLMs' veracity are limited by the need for extensive human labo","authors":["Wang, Wenxuan","Chan, Yuk-Kit","Ling, Zixuan","Shi, Juluan","Yuan, Youliang","Huang, Jen-tse"],"url":"https://arxiv.org/abs/2401.00761","arxiv_id":"2401.00761","published":"2026-04-30"},{"title":"Data-Centric Foundation Models in Computational Healthcare: A Survey","abstract":"The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a wave of opportunities in computational healthcare. The interactive nature of these models, guided by pre-training data and human instructions, has ignited a data-centric AI paradigm that emphasizes better data characterization, quality, and scale. In healthcare AI, obtaining and processing high-quality clinical data records has b","authors":["Zhang, Yunkun","Gao, Jin","Tan, Zheling","Zhou, Lingfeng","Ding, Kexin","Zhou, Mu"],"url":"https://arxiv.org/abs/2401.02458","arxiv_id":"2401.02458","published":"2026-04-30"},{"title":"Don't Look at the Camera: Achieving Perceived Eye Contact","abstract":"We consider the question of how to best achieve the perception of eye contact when a person is captured by camera and then rendered on a 2D display. For single subjects photographed by a camera, conventional wisdom tells us that looking directly into the camera achieves eye contact. Through empirical user studies, we show that it is instead preferable to {\\em look just below the camera lens}. We quantitatively assess","authors":["Gao, Alice","Jayakumar, Samyukta","Maniglia, Marcello","Curless, Brian","Kemelmacher-Shlizerman, Ira","Seitz, Aaron R."],"url":"https://arxiv.org/abs/2404.17104","arxiv_id":"2404.17104","published":"2026-04-30"},{"title":"ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models","abstract":"In this paper, we study an under-explored but important factor of diffusion generative models, i.e., the combinatorial complexity. Data samples are generally high-dimensional, and for various structured generation tasks, additional attributes are combined to associate with data samples. We show that the space spanned by the combination of dimensions and attributes can be insufficiently covered by existing training sc","authors":["Xu, Rui","Wang, Jiepeng","Pan, Hao","Liu, Yang","Tong, Xin","Xin, Shiqing"],"url":"https://arxiv.org/abs/2405.13729","arxiv_id":"2405.13729","published":"2026-04-30"},{"title":"Investigating the Segment Anything Foundation Model for Mapping Smallholder Agriculture Field Boundaries Without Training Labels","abstract":"Accurate mapping of agricultural field boundaries is crucial for enhancing outcomes like precision agriculture, crop monitoring, and yield estimation. However, extracting these boundaries from satellite images is challenging, especially for smallholder farms and data-scarce environments. This study explores the Segment Anything Model (SAM) to delineate agricultural field boundaries in Bihar, India, using 2-meter reso","authors":["Tripathy, Pratyush","Baylis, Kathy","Wu, Kyle","Watson, Jyles","Jiang, Ruizhe"],"url":"https://arxiv.org/abs/2407.01846","arxiv_id":"2407.01846","published":"2026-04-30"},{"title":"Learning to Ask: When LLM Agents Meet Unclear Instruction","abstract":"Equipped with the capability to call functions, modern large language models (LLMs) can leverage external tools for addressing a range of tasks unattainable through language skills alone. However, the effective execution of these tools relies heavily not just on the advanced capabilities of LLMs but also on precise user instructions, which often cannot be ensured in the real world. To evaluate the performance of LLMs","authors":["Wang, Wenxuan","Shi, Juluan","Ling, Zixuan","Chan, Yuk-Kit","Wang, Chaozheng","Lee, Cheryl"],"url":"https://arxiv.org/abs/2409.00557","arxiv_id":"2409.00557","published":"2026-04-30"},{"title":"Time series classification with random convolution kernels: pooling operators and input representations matter","abstract":"This article presents a new approach based on MiniRocket, called SelF-Rocket, for fast time series classification (TSC). Unlike existing approaches based on random convolution kernels, it dynamically selects the best couple of input representations and pooling operator during the training process. SelF-Rocket achieves state-of-the-art accuracy on the University of California Riverside (UCR) TSC benchmark datasets.","authors":["Lo, Mouhamadou Mansour","Morvan, Gildas","Rossi, Mathieu","Morganti, Fabrice","Mercier, David"],"url":"https://arxiv.org/abs/2409.01115","arxiv_id":"2409.01115","published":"2026-04-30"},{"title":"A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio","abstract":"Large Language Models (LLM) often need to be Continual Pre-Trained (CPT) to obtain unfamiliar language skills or adapt to new domains. The huge training cost of CPT often asks for cautious choice of key hyper-parameters such as the mixture ratio of extra language or domain corpus. However, there is no systematic study that bridges the gap between the optimal mixture ratio and the actual model performance, and the gap","authors":["Xi, Ningyuan","Wu, Yetao","Fan, Kun","Chen, Teng","Gu, Qingqing","Ji, Luo"],"url":"https://arxiv.org/abs/2409.06624","arxiv_id":"2409.06624","published":"2026-04-30"},{"title":"MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning","abstract":"Current research efforts are focused on enhancing the thinking and reasoning capability of large language model (LLM) by prompting, data-driven emergence and inference-time computation. In this study, we consider stimulating language model's thinking and cognitive abilities from a modular perspective, which mimics the human brain architecture. We select a specific intermediate attention layer with newly implement","authors":["Xi, Ningyuan","Wang, Xiaoyu","Wu, Yetao","Chen, Teng","Gu, Qingqing","Zhao, Yue"],"url":"https://arxiv.org/abs/2409.12059","arxiv_id":"2409.12059","published":"2026-04-30"},{"title":"Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible","abstract":"A recent paper (van Rooij et al. 2024) claims to have proved that achieving human-like intelligence using learning from data is intractable in a complexity-theoretic sense. We point out that the proof relies on an unjustified assumption about the distribution of (input, output) tuples in the data. We briefly discuss that assumption in the context of two fundamental barriers to repairing the proof: the need to precise","authors":["Guerzhoy, Michael"],"url":"https://arxiv.org/abs/2411.06498","arxiv_id":"2411.06498","published":"2026-04-30"},{"title":"Explainable Representation of Finite-Memory Policies for POMDPs using Decision Trees","abstract":"Partially Observable Markov Decision Processes (POMDPs) are a fundamental framework for decision-making under uncertainty and partial observability. Since in general optimal policies may require infinite memory, they are hard to implement and often render most problems undecidable. Consequently, finite-memory policies are mostly considered instead. However, the algorithms for computing them are typically very complex","authors":["Azeem, Muqsit","Chakraborty, Debraj","Kanav, Sudeep","Kretinsky, Jan"],"url":"https://arxiv.org/abs/2411.13365","arxiv_id":"2411.13365","published":"2026-04-30"},{"title":"DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing","abstract":"In recent years, the growth of data across various sectors, including healthcare, security, finance, and education, has created significant opportunities for analysis and informed decision-making. However, these datasets often contain sensitive and personal information, which raises serious privacy concerns. It has been shown in multiple works that a person's identity is intertwined with their data, even if the d","authors":["Saha, Utsab","Tonoy, Tanvir Muntakim","Imtiaz, Hafiz"],"url":"https://arxiv.org/abs/2411.16121","arxiv_id":"2411.16121","published":"2026-04-30"},{"title":"Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering","abstract":"Time series data has become increasingly prevalent across numerous domains, driving a growing demand for time series machine learning techniques. Among these, time series clustering (TSCL) stands out as one of the most popular machine learning tasks. TSCL serves as a powerful exploratory analysis tool and is also employed as a preprocessing step or subroutine for various tasks, including anomaly detection, segmentati","authors":["Holder, Christopher","Bagnall, Anthony"],"url":"https://arxiv.org/abs/2411.17838","arxiv_id":"2411.17838","published":"2026-04-30"},{"title":"U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face Video-based Blood Pressure Estimation","abstract":"Blood pressure (BP) measurement is crucial for daily health assessment. Remote photoplethysmography (rPPG), which extracts pulse waves from face videos captured by a camera, has the potential to enable convenient BP measurement without specialized medical devices. However, there are various uncertainties in BP estimation using rPPG, leading to limited estimation performance and reliability. In this paper, we propose ","authors":["Akamatsu, Yusuke","Ebihara, Akinori F.","Umematsu, Terumi"],"url":"https://arxiv.org/abs/2412.10679","arxiv_id":"2412.10679","published":"2026-04-30"},{"title":"Quantifying Climate Change Impacts on Renewable Energy Generation: A Super-Resolution Recurrent Diffusion Model","abstract":"Driven by global climate change and the ongoing energy transition, the coupling between power supply capabilities and meteorological factors has become increasingly significant. Over the long term, accurately quantifying the power generation of renewable energy under the influence of climate change is essential for the development of sustainable power systems. However, due to interdisciplinary differences in data req","authors":["Dong, Xiaochong","Dan, Jun","Sun, Yingyun","Liu, Yang","Zhang, Xuemin","Mei, Shengwei"],"url":"https://arxiv.org/abs/2412.11399","arxiv_id":"2412.11399","published":"2026-04-30"},{"title":"ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents","abstract":"Travel planning stands out among real-world applications of \\emph{Language Agents} because it couples significant practical demand with a rigorous constraint-satisfaction challenge. However, existing benchmarks primarily operate on a slot-filling paradigm, restricting agents to synthetic queries with pre-defined constraint menus, which fails to capture the open-ended nature of natural language interaction, where user","authors":["Shao, Jie-Jing","Zhang, Bo-Wen","Yang, Xiao-Wen","Chen, Baizhi","Han, Si-Yu","Pang, Jinghao"],"url":"https://arxiv.org/abs/2412.13682","arxiv_id":"2412.13682","published":"2026-04-30"},{"title":"Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review","abstract":"This systematic review explores the use of machine learning (ML) in predicting diabetes, focusing on datasets, algorithms, training methods, and evaluation metrics. It examines datasets like the Singapore National Diabetic Retinopathy Screening program, REPLACE-BG, National Health and Nutrition Examination Survey, and Pima Indians Diabetes Database. The review assesses the performance of ML algorithms like CNN, SVM, ","authors":["Khokhar, Pir Bakhsh","Gravino, Carmine","Palomba, Fabio"],"url":"https://arxiv.org/abs/2412.14736","arxiv_id":"2412.14736","published":"2026-04-30"},{"title":"Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI","abstract":"Prior studies have shown that distinguishing text generated by Large Language Models (LLMs) from human-written one is highly challenging for humans, and often no better than random guessing. To verify the generalizability of this finding across languages and domains, we perform an extensive case study to identify the upper bound of human detection accuracy. Across 16 datasets covering 9 languages and 9 domains, 19 an","authors":["Wang, Yuxia","Xing, Rui","Mansurov, Jonibek","Puccetti, Giovanni","Xie, Zhuohan","Ta, Minh Ngoc"],"url":"https://arxiv.org/abs/2502.11614","arxiv_id":"2502.11614","published":"2026-04-30"},{"title":"Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery","abstract":"We present a framework for generating universal semantic embeddings of chemical elements to advance materials inference and discovery. This framework leverages ElementBERT, a domain-specific BERT-based natural language processing model trained on 1.29 million abstracts of alloy-related scientific papers, to capture latent knowledge and contextual relationships specific to alloys. These semantic embeddings serve as ro","authors":["Jia, Yunze","Xian, Yuehui","Xu, Yangyang","Dang, Pengfei","Ding, Xiangdong","Sun, Jun"],"url":"https://arxiv.org/abs/2502.14912","arxiv_id":"2502.14912","published":"2026-04-30"}],"history":{"events":[{"year":2021,"text":"A crowd crush killed 45 people during the annual pilgrimage to the tomb of Rabbi Shimon bar Yochai in Israel.","url":"https://en.wikipedia.org/wiki/2021_Meron_crowd_crush"},{"year":2014,"text":"A bomb blast in Ürümqi, China, killed three people and injured 79 others.","url":"https://en.wikipedia.org/wiki/April_2014_%C3%9Cr%C3%BCmqi_attack"},{"year":2009,"text":"A Dutch man drove his car at high speed into a parade in an attempt to kill the Dutch royal family.","url":"https://en.wikipedia.org/wiki/2009_attack_on_the_Dutch_royal_family"},{"year":2004,"text":"The New Yorker published an online article and photographs detailing accounts of torture and abuse by American military personnel of Iraqi prisoners held at Abu Ghraib prison in Baghdad.","url":"https://en.wikipedia.org/wiki/The_New_Yorker"},{"year":2000,"text":"Faustina Kowalska, a Polish nun whose apparitions of Jesus inspired the Catholic devotion to the Divine Mercy, was canonized by Pope John Paul II.","url":"https://en.wikipedia.org/wiki/Faustina_Kowalska"},{"year":1994,"text":"Riverdance was performed for the first time, as the interval act for the Eurovision Song Contest.","url":"https://en.wikipedia.org/wiki/Riverdance"},{"year":1982,"text":"Sixteen monks and a nun of the Hindu organisation Ananda Marga were beaten to death and set on fire in Calcutta, India.","url":"https://en.wikipedia.org/wiki/Ananda_Marga"},{"year":1975,"text":"American forces completed a helicopter evacuation of U.S. citizens, South Vietnamese civilians and others from Saigon, just before North Vietnamese troops captured the city and ended the Vietnam War.","url":"https://en.wikipedia.org/wiki/Operation_Frequent_Wind"},{"year":1963,"text":"A refusal by the Bristol Omnibus Company and the Transport and General Workers' Union to permit the employment of black bus crews led to a bus boycott in Bristol, England.","url":"https://en.wikipedia.org/wiki/Bristol_Omnibus_Company"},{"year":1945,"text":"World War II: As Allied forces closed in on Berlin, Nazi leader Adolf Hitler committed suicide in the Führerbunker with Eva Braun one day after their marriage.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1943,"text":"Second World War: The Royal Navy submarine HMS Seraph began Operation Mincemeat to deceive Germany about the upcoming invasion of Sicily.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1927,"text":"The Federal Industrial Institute for Women opened near Alderson, West Virginia, as the first federal prison for women in the United States.","url":"https://en.wikipedia.org/wiki/Federal_Prison_Camp%2C_Alderson"},{"year":1927,"text":"Douglas Fairbanks and Mary Pickford became the first two celebrities to make imprints of their hands and feet in cement at Grauman's Chinese Theatre in Hollywood, California.","url":"https://en.wikipedia.org/wiki/Douglas_Fairbanks"},{"year":1897,"text":"British physicist J. J. Thomson and his team announce the discovery of the electron.","url":"https://en.wikipedia.org/wiki/J._J._Thomson"},{"year":1894,"text":"A crowd of workers, unemployed due to the Panic of 1893, concluded the first significant popular protest march on Washington D.C.","url":"https://en.wikipedia.org/wiki/Coxey's_Army"},{"year":1883,"text":"New York governor Grover Cleveland signed legislation that led to the creation of Niagara Falls State Park, the United States' first state park.","url":"https://en.wikipedia.org/wiki/Grover_Cleveland"},{"year":1803,"text":"The United States purchased France's claim to the Louisiana Territory for 80 million francs, or less than US$.03 per acre ($.07/ha).","url":"https://en.wikipedia.org/wiki/Louisiana_Purchase"},{"year":1789,"text":"George Washington (pictured) took the oath of office as the first president of the United States at Federal Hall in New York City.","url":"https://en.wikipedia.org/wiki/George_Washington"}],"births":[{"year":2003,"text":"Emily Carey, British actress","url":"https://en.wikipedia.org/wiki/Emily_Carey"},{"year":2003,"text":"Jung Yun-seok, South Korean actor","url":"https://en.wikipedia.org/wiki/Jung_Yoon-seok"},{"year":2002,"text":"Anna Cramling, Spanish-Swedish chess player","url":"https://en.wikipedia.org/wiki/Anna_Cramling"},{"year":2002,"text":"Teden Mengi, English footballer","url":"https://en.wikipedia.org/wiki/Teden_Mengi"},{"year":2000,"text":"Yui Hiwatashi, Japanese singer","url":"https://en.wikipedia.org/wiki/Yui_Hiwatashi"},{"year":2000,"text":"Dean James, Indonesian footballer","url":"https://en.wikipedia.org/wiki/Dean_James_(footballer)"},{"year":1999,"text":"Jorden van Foreest, Dutch chess grandmaster","url":"https://en.wikipedia.org/wiki/Jorden_van_Foreest"},{"year":1999,"text":"Krit Amnuaydechkorn, Thai actor and singer","url":"https://en.wikipedia.org/wiki/Krit_Amnuaydechkorn"}],"deaths":[{"year":2024,"text":"Paul Auster, American writer and film director (born 1947)","url":"https://en.wikipedia.org/wiki/Paul_Auster"},{"year":2023,"text":"Jock Zonfrillo, Scottish television presenter and chef (born 1976)","url":"https://en.wikipedia.org/wiki/Jock_Zonfrillo"},{"year":2022,"text":"Naomi Judd, American singer-songwriter and actress (born 1946)","url":"https://en.wikipedia.org/wiki/Naomi_Judd"},{"year":2022,"text":"Mino Raiola, Italian football agent (born 1967)","url":"https://en.wikipedia.org/wiki/Mino_Raiola"},{"year":2021,"text":"Anthony Payne, English composer (born 1936)","url":"https://en.wikipedia.org/wiki/Anthony_Payne"},{"year":2020,"text":"Tony Allen, Nigerian drummer and composer (born 1940)","url":"https://en.wikipedia.org/wiki/Tony_Allen_(musician)"},{"year":2020,"text":"Rishi Kapoor, Indian actor, film director and producer (born 1952)","url":"https://en.wikipedia.org/wiki/Rishi_Kapoor"},{"year":2019,"text":"Peter Mayhew, English-American actor (born 1944)","url":"https://en.wikipedia.org/wiki/Peter_Mayhew"}]},"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."}