{"date":"2026-05-19","schema_version":1,"captured_at":"2026-08-25T23:09:06.995Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Aaron Rai","views":455711,"rank":3,"extract":"Aaron Rai is an English professional golfer who plays on the PGA Tour and the European Tour. 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images","points":387,"comments":258,"url":"https://github.com/wiltodelta/remove-ai-watermarks","discussion":"https://news.ycombinator.com/item?id=48200569"},{"title":"Mistral AI acquires Emmi AI","points":339,"comments":98,"url":"https://www.emmi.ai/news/mistral-ai-acquires-emmi-ai","discussion":"https://news.ycombinator.com/item?id=48197995"},{"title":"OpenAI Adopts Google's SynthID Watermark for AI Images with Verification Tool","points":332,"comments":180,"url":"https://openai.com/index/advancing-content-provenance/","discussion":"https://news.ycombinator.com/item?id=48198291"},{"title":"Gemini Omni","points":323,"comments":146,"url":"https://deepmind.google/models/gemini-omni/","discussion":"https://news.ycombinator.com/item?id=48196609"},{"title":"Peter Neumann has died","points":316,"comments":25,"url":"https://www.tuhs.org/pipermail/tuhs/2026-May/033748.html","discussion":"https://news.ycombinator.com/item?id=48188787"},{"title":"Kindle loyalists scramble as Amazon turns page on old e-readers","points":234,"comments":323,"url":"https://www.reuters.com/business/retail-consumer/kindle-loyalists-scramble-amazon-turns-page-old-e-readers-2026-05-19/","discussion":"https://news.ycombinator.com/item?id=48194645"},{"title":"Dumb ways for an open source project to die","points":219,"comments":145,"url":"https://nesbitt.io/2026/05/19/dumb-ways-for-an-open-source-project-to-die.html","discussion":"https://news.ycombinator.com/item?id=48198127"},{"title":"Google I/O","points":186,"comments":262,"url":"https://io.google/2026/","discussion":"https://news.ycombinator.com/item?id=48196020"},{"title":"Gemini 3.5 Flash: frontier intelligence with action","points":180,"comments":1,"url":"https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5/","discussion":"https://news.ycombinator.com/item?id=48196656"},{"title":"Peter Salus has died","points":173,"comments":15,"url":"https://www.tuhs.org/pipermail/tuhs/2026-May/033750.html","discussion":"https://news.ycombinator.com/item?id=48188665"}],"research":[{"title":"HONEM: Learning Embedding for Higher Order Networks","abstract":"Representation learning on networks offers a powerful alternative to the oft painstaking process of manual feature engineering, and as a result, has enjoyed considerable success in recent years. However, all the existing representation learning methods are based on the first-order network (FON), that is, the network that only captures the pairwise interactions between the nodes. As a result, these methods may fail to","authors":["Saebi, Mandana","Ciampaglia, Giovanni Luca","Kaplan, Lance M","Chawla, Nitesh V"],"url":"https://arxiv.org/abs/1908.05387","arxiv_id":"1908.05387","published":"2026-05-19"},{"title":"Matérn Gaussian Processes on Graphs","abstract":"Gaussian processes are a versatile framework for learning unknown functions in a manner that permits one to utilize prior information about their properties. Although many different Gaussian process models are readily available when the input space is Euclidean, the choice is much more limited for Gaussian processes whose input space is an undirected graph. In this work, we leverage the stochastic partial differentia","authors":["Borovitskiy, Viacheslav","Azangulov, Iskander","Terenin, Alexander","Mostowsky, Peter","Deisenroth, Marc Peter","Durrande, Nicolas"],"url":"https://arxiv.org/abs/2010.15538","arxiv_id":"2010.15538","published":"2026-05-19"},{"title":"REMOD: Relation Extraction for Modeling Online Discourse","abstract":"The enormous amount of discourse taking place online poses challenges to the functioning of a civil and informed public sphere. Efforts to standardize online discourse data, such as ClaimReview, are making available a wealth of new data about potentially inaccurate claims, reviewed by third-party fact-checkers. These data could help shed light on the nature of online discourse, the role of political elites in amplify","authors":["Sumpter, Matthew","Ciampaglia, Giovanni Luca"],"url":"https://arxiv.org/abs/2102.11105","arxiv_id":"2102.11105","published":"2026-05-19"},{"title":"A Machine With Human-Like Memory Systems","abstract":"Inspired by the cognitive science theory, we explicitly model an agent with both semantic and episodic memory systems, and show that it is better than having just one of the two memory systems. In order to show this, we have designed and released our own challenging environment, "the Room", compatible with OpenAI Gym, where an agent has to properly learn how to encode, store, and retrieve memories to maximize","authors":["Kim, Taewoon","Cochez, Michael","Francois-Lavet, Vincent","Neerincx, Mark","Vossen, Piek"],"url":"https://arxiv.org/abs/2204.01611","arxiv_id":"2204.01611","published":"2026-05-19"},{"title":"A Machine with Short-Term, Episodic, and Semantic Memory Systems","abstract":"Inspired by the cognitive science theory of the explicit human memory systems, we have modeled an agent with short-term, episodic, and semantic memory systems, each of which is modeled with a knowledge graph. To evaluate this system and analyze the behavior of this agent, we designed and released our own reinforcement learning agent environment, "the Room", where an agent has to learn how to encode, store, an","authors":["Kim, Taewoon","Cochez, Michael","François-Lavet, Vincent","Neerincx, Mark","Vossen, Piek"],"url":"https://arxiv.org/abs/2212.02098","arxiv_id":"2212.02098","published":"2026-05-19"},{"title":"Cost-aware Duration Prediction for Software Upgrades in Datacenters","abstract":"Software upgrades are critical to maintaining server reliability in datacenters. While job duration prediction and scheduling have been extensively studied, the unique challenges posed by software upgrades remain largely under-explored. This paper presents the first in-depth investigation into software upgrade scheduling at datacenter scale. We begin by characterizing various types of upgrades and then frame the sche","authors":["Ding, Yi","Gao, Aijia","Ryden, Thibaud","Sedlak, Michal","Ewaisha, Essam","Marnat, Igor"],"url":"https://arxiv.org/abs/2212.05155","arxiv_id":"2212.05155","published":"2026-05-19"},{"title":"Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts","abstract":"Scholars in the humanities rely heavily on ancient manuscripts to study history, religion, and socio-political structures in the past. Many efforts have been devoted to digitizing these precious manuscripts using OCR technology, but most manuscripts were blemished over the centuries so that an Optical Character Recognition (OCR) program cannot be expected to capture faded graphs and stains on pages. This work present","authors":["Luo, Queenie","Chuang, Yung-Sung"],"url":"https://arxiv.org/abs/2304.03427","arxiv_id":"2304.03427","published":"2026-05-19"},{"title":"Usenix'23 Extended Version: Smart Learning to Find Dumb Contracts","abstract":"We introduce the Deep Learning Vulnerability Analyzer (DLVA) for Ethereum smart contracts based on neural networks. We train DLVA to judge bytecode even though the supervising oracle can only judge source. DLVA's training algorithm is general: we extend a source code analysis to bytecode without any manual feature engineering, predefined patterns, or expert rules. DLVA's training algorithm is also robust: it ","authors":["Abdelaziz, Tamer","Hobor, Aquinas"],"url":"https://arxiv.org/abs/2304.10726","arxiv_id":"2304.10726","published":"2026-05-19"},{"title":"Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025","abstract":"Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms that will enable them. With these goals in mind we have invited the surgical data science community to participate in a yearly competition hosted through the Medical Imaging Computing and Computer Assisted Interventions (MICCAI) conference","authors":["Zia, Aneeq","Berniker, Max","Nespolo, Rogerio Garcia","Zhang, Xiaorui","Perreault, Conor","Bhattacharyya, Kiran"],"url":"https://arxiv.org/abs/2305.07152","arxiv_id":"2305.07152","published":"2026-05-19"},{"title":"Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping","abstract":"Introduction: Long-term time series forecasting (LTSF) has gained significant attention in recent years. While various specialized designs exist for capturing temporal dependency, recent studies have shown that even a single linear layer can achieve competitive performance. This paper investigates the intrinsic effectiveness of recent LTSF approaches and reveals the critical role of affine mapping. Materials and meth","authors":["Li, Zhe","Qi, Shiyi","Li, Yiduo","Xu, Zenglin"],"url":"https://arxiv.org/abs/2305.10721","arxiv_id":"2305.10721","published":"2026-05-19"},{"title":"Online Resource Allocation with Convex-set Machine-Learned Advice","abstract":"Decision-makers often have access to machine-learned predictions about future demand that can help guide online resource allocation decisions. However, such predictions may be inaccurate. We develop a framework for online resource allocation with potentially unreliable machine-learned advice, where the advice is represented as a convex uncertainty set for the demand vector rather than a single point estimate. We intr","authors":["Golrezaei, Negin","Jaillet, Patrick","Zhou, Zijie"],"url":"https://arxiv.org/abs/2306.12282","arxiv_id":"2306.12282","published":"2026-05-19"},{"title":"Causal Influences over Social Learning Networks","abstract":"This paper investigates causal influences between agents linked by a social graph and interacting over time. In particular, the work examines the dynamics of social learning models and distributed decision-making protocols, and derives expressions that reveal the causal relations between pairs of agents and explain the flow of influence over the network. The results turn out to be dependent on the graph topology and ","authors":["Kayaalp, Mert","Sayed, Ali H."],"url":"https://arxiv.org/abs/2307.09575","arxiv_id":"2307.09575","published":"2026-05-19"},{"title":"Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach","abstract":"We propose a machine learning approach to the optimal control of multiclass fluid queueing networks (MFQNETs) that provides explicit and insightful control policies. We prove that a piecewise constant optimal policy exists for MFQNET control problems, with segments separated by hyperplanes passing through the origin. We use Optimal Classification Trees with hyperplane splits (OCT-H) to learn an optimal control policy","authors":["Bertsimas, Dimitris","Kim, Cheol Woo"],"url":"https://arxiv.org/abs/2307.12405","arxiv_id":"2307.12405","published":"2026-05-19"},{"title":"Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features","abstract":"Complex emotion recognition is a cognitive task that has so far eluded the same excellent performance of other tasks that are at or above the level of human cognition. Emotion recognition through facial expressions is particularly difficult due to the complexity of emotions expressed by the human face. For a machine to approach the same level of performance in complex facial expression recognition as a human, it may ","authors":["Maiden, Angus","Nakisa, Bahareh"],"url":"https://arxiv.org/abs/2308.06197","arxiv_id":"2308.06197","published":"2026-05-19"},{"title":"Lightweight CNN-Based DDoS Detection for Resource-Constrained Edge Networks","abstract":"Distributed Denial of Service (DDoS) attacks remain a persistent threat to the availability of Internet services, edge networks, and cyber-physical infrastructure. Although recent AI-security work has increasingly focused on foundation models, autonomous agents, and adversarial robustness, many operational defense tasks still require low-latency classification close to the network edge, where cloud-scale analysis may","authors":["Ramanathan, Vedanth","Mahadevan, Krish","Dua, Sejal"],"url":"https://arxiv.org/abs/2309.05646","arxiv_id":"2309.05646","published":"2026-05-19"},{"title":"High-Resolution Reference Image Assisted Volumetric Super-Resolution of Cardiac Diffusion Weighted Imaging","abstract":"Diffusion Tensor Cardiac Magnetic Resonance (DT-CMR) is the only in vivo method to non-invasively examine the microstructure of the human heart. Current research in DT-CMR aims to improve the understanding of how the cardiac microstructure relates to the macroscopic function of the healthy heart as well as how microstructural dysfunction contributes to disease. To get the final DT-CMR metrics, we need to acquire diff","authors":["Wu, Yinzhe","Huang, Jiahao","Wang, Fanwen","Ferreira, Pedro","Scott, Andrew","Nielles-Vallespin, Sonia"],"url":"https://arxiv.org/abs/2310.20389","arxiv_id":"2310.20389","published":"2026-05-19"},{"title":"Single Image Reflection Removal with Patch Reflectance Prior","abstract":"Single Image Reflection Removal (SIRR) in real-world images is a challenging task due to diverse image degradations occurring on the glass surface during light transmission and reflection. Many existing methods rely on specific prior assumptions to resolve the problem. In this paper, we propose a general reflection intensity prior that captures the intensity of the reflection phenomenon and demonstrate its effectiven","authors":["Han, Dongshen","Yoon, Heechan","Kwon, Hyukmin","Kim, Hyun-Cheol","Choo, Hyon-Gon","Lee, Seungkyu"],"url":"https://arxiv.org/abs/2312.03798","arxiv_id":"2312.03798","published":"2026-05-19"},{"title":"Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds","abstract":"We combine standard persistent homology with image persistent homology to define a novel way of characterizing shapes and interactions between them. In particular, we introduce: (1) a mixup barcode, which captures geometric-topological interactions (mixup) between two point sets in arbitrary dimension; (2) simple summary statistics, total mixup and total percentage mixup, which quantify the complexity of the interact","authors":["Wagner, Hubert","Arustamyan, Nickolas","Wheeler, Matthew","Bubenik, Peter"],"url":"https://arxiv.org/abs/2402.15058","arxiv_id":"2402.15058","published":"2026-05-19"},{"title":"A tutorial on learning from preferences and choices with Gaussian Processes","abstract":"Preference modelling lies at the intersection of economics, decision theory, machine learning and statistics. By understanding individuals' preferences and how they make choices, we can build products that closely match their expectations, paving the way for more efficient and personalised applications across a wide range of domains. The objective of this tutorial is to present a cohesive and comprehensive framew","authors":["Benavoli, Alessio","Azzimonti, Dario"],"url":"https://arxiv.org/abs/2403.11782","arxiv_id":"2403.11782","published":"2026-05-19"},{"title":"Classification of Short Segment Pediatric Heart Sounds Based on a Transformer-Based Convolutional Neural Network","abstract":"Congenital anomalies arising as a result of a defect in the structure of the heart and great vessels are known as congenital heart diseases or CHDs. A PCG can provide essential details about the mechanical conduction system of the heart and point out specific patterns linked to different kinds of CHD. This study aims to investigate the minimum signal duration required for the automatic classification of heart sounds.","authors":["Hassanuzzaman, Md","Hasan, Nurul Akhtar","Mamun, Mohammad Abdullah Al","Ahmed, Khawza I","Khandoker, Ahsan H","Mostafa, Raqibul"],"url":"https://arxiv.org/abs/2404.00470","arxiv_id":"2404.00470","published":"2026-05-19"},{"title":"A Survey on Retrieval-Augmented Text Generation for Large Language Models","abstract":"Retrieval-Augmented Generation (RAG) merges retrieval methods with deep learning advancements to address the static limitations of large language models (LLMs) by enabling the dynamic integration of up-to-date external information. This methodology, focusing primarily on the text domain, provides a cost-effective solution to the generation of plausible but possibly incorrect responses by LLMs, thereby enhancing the a","authors":["Huang, Yizheng","Huang, Jimmy"],"url":"https://arxiv.org/abs/2404.10981","arxiv_id":"2404.10981","published":"2026-05-19"},{"title":"Generalization analysis with deep ReLU networks for metric and similarity learning","abstract":"While metric and similarity learning has been extensively studied from several theoretical perspectives, a rigorous understanding of its generalization performance is still lacking. In this paper, we investigate the generalization behavior of metric and similarity learning by exploiting the specific structure of the true metric (i.e., the target function). In particular, by deriving the explicit form of the true metr","authors":["Zhou, Junyu","Wang, Puyu","Zhou, Ding-Xuan"],"url":"https://arxiv.org/abs/2405.06415","arxiv_id":"2405.06415","published":"2026-05-19"},{"title":"Anchor-Based Heteroscedastic Noise for Preferential Bayesian Optimization","abstract":"Preferential Bayesian optimization (PBO) learns latent utilities from pairwise comparisons, but most existing methods assume homoscedastic comparison noise. This is inadequate in human-in-the-loop settings, where a user may compare some designs reliably and others only hesitantly. We propose a heteroscedastic noise model for PBO: before optimization, the user provides a small set of reliable examples, called anchors,","authors":["Sinaga, Marshal Arijona","Martinelli, Julien","Kaski, Samuel"],"url":"https://arxiv.org/abs/2405.14657","arxiv_id":"2405.14657","published":"2026-05-19"},{"title":"DyDiff: Long-Horizon Rollout via Dynamics Diffusion for Offline Reinforcement Learning","abstract":"With the great success of diffusion models (DMs) in generating realistic synthetic vision data, many researchers have investigated their potential in decision-making and control. Most of these works utilized DMs to sample directly from the trajectory space, where DMs can be viewed as a combination of dynamics models and policies. In this work, we explore how to decouple DMs' ability as dynamics models in fully of","authors":["Zhao, Hanye","Han, Xiaoshen","Zhu, Zhengbang","Liu, Minghuan","Yu, Yong","Zhan, De-Chuan"],"url":"https://arxiv.org/abs/2405.19189","arxiv_id":"2405.19189","published":"2026-05-19"},{"title":"Learning Spatial-Preserving Hierarchical Representations for Digital Pathology","abstract":"Whole slide images (WSIs) pose fundamental computational challenges due to their gigapixel resolution and the sparse distribution of informative regions. Existing approaches often treat image patches independently or reshape them in ways that distort spatial context, thereby obscuring the hierarchical pyramid representations intrinsic to WSIs. We introduce Sparse Pyramid Attention Networks (SPAN), a hierarchical fram","authors":["Wu, Weiyi","Diao, Xingjian","Zhang, Chunhui","Gao, Chongyang","Xu, Xinwen","Li, Siting"],"url":"https://arxiv.org/abs/2406.09333","arxiv_id":"2406.09333","published":"2026-05-19"}],"history":{"events":[{"year":2024,"text":"In Iran, a helicopter crash killed eight people, including President Ebrahim Raisi and Foreign Minister Hossein Amir-Abdollahian.","url":"https://en.wikipedia.org/wiki/2024_Varzaqan_helicopter_crash"},{"year":2018,"text":"The wedding of Prince Harry and Meghan Markle (both pictured) took place at St George's Chapel in Windsor Castle, England.","url":"https://en.wikipedia.org/wiki/Wedding_of_Prince_Harry_and_Meghan_Markle"},{"year":2015,"text":"A corroded pipeline near Refugio State Beach, California, spilled 142,800 gallons (3,400 barrels) of crude oil onto the Gaviota Coast.","url":"https://en.wikipedia.org/wiki/Refugio_State_Beach"},{"year":2010,"text":"In Bangkok, the Thai military concluded a week-long crackdown on widespread protests by forcing the surrender of opposition leaders.","url":"https://en.wikipedia.org/wiki/Royal_Thai_Armed_Forces"},{"year":1997,"text":"The Sierra Gorda Biosphere, which encompasses the most ecologically diverse region in Mexico, was established as a result of grassroots efforts.","url":"https://en.wikipedia.org/wiki/Sierra_Gorda"},{"year":1991,"text":"Breakup of Yugoslavia: With the local Serb population boycotting the referendum, Croatians voted in favour of independence from Yugoslavia.","url":"https://en.wikipedia.org/wiki/Breakup_of_Yugoslavia"},{"year":1962,"text":"Actress Marilyn Monroe performed a sultry rendition of \"Happy Birthday to You\" during a televised celebration for U.S. President John F. Kennedy.","url":"https://en.wikipedia.org/wiki/Marilyn_Monroe"},{"year":1915,"text":"First World War: Australian and New Zealand troops repelled the third attack on Anzac Cove, inflicting heavy casualties on the attacking Ottoman forces.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1845,"text":"Captain John Franklin (pictured) departed Greenhithe, England, on an expedition to the Canadian Arctic in search of the Northwest Passage; all 129 men were later lost when their ships became icebound in Victoria Strait.","url":"https://en.wikipedia.org/wiki/John_Franklin"},{"year":1828,"text":"The United States Congress passed the largest tariff in the nation's history, which resulted in severe economic hardship in the American South.","url":"https://en.wikipedia.org/wiki/United_States_Congress"},{"year":1780,"text":"A combination of thick smoke, fog, and heavy cloud cover caused darkness to fall on parts of Canada and the New England area of the United States by noon.","url":"https://en.wikipedia.org/wiki/New_England's_Dark_Day"},{"year":1776,"text":"American Revolutionary War: A Continental Army garrison west of Montreal surrendered to British troops at the Battle of the Cedars.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1743,"text":"French physicist Jean-Pierre Christin published the design of a mercury thermometer using the centigrade scale, with 0 representing the melting point of water and 100 its boiling point.","url":"https://en.wikipedia.org/wiki/Jean-Pierre_Christin"},{"year":1674,"text":"John III Sobieski (pictured) was elected by the szlachta as the monarch of the Polish–Lithuanian Commonwealth.","url":"https://en.wikipedia.org/wiki/John_III_Sobieski"},{"year":1655,"text":"Anglo-Spanish War: English forces invaded Jamaica, then administered by Spain as the Colony of Santiago, and captured it a week later.","url":"https://en.wikipedia.org/wiki/Anglo-Spanish_War_(1654%E2%80%931660)"},{"year":715,"text":"Gregory II began his pontificate; his conflict with Byzantine emperor Leo III eventually led to the establishment of the temporal power of the pope.","url":"https://en.wikipedia.org/wiki/Pope_Gregory_II"}],"births":[{"year":2003,"text":"Jojo Siwa, American dancer, singer, actress, and YouTube personality","url":"https://en.wikipedia.org/wiki/JoJo_Siwa"},{"year":2002,"text":"Riccardo Calafiori, Italian footballer","url":"https://en.wikipedia.org/wiki/Riccardo_Calafiori"},{"year":2002,"text":"Rafa Marín, Spanish footballer","url":"https://en.wikipedia.org/wiki/Rafa_Mar%C3%ADn"},{"year":2001,"text":"Elizabeth Mandlik, American tennis player","url":"https://en.wikipedia.org/wiki/Elizabeth_Mandlik"},{"year":1996,"text":"Michael Carcone, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Michael_Carcone"},{"year":1995,"text":"Taane Milne, New Zealand rugby league player","url":"https://en.wikipedia.org/wiki/Taane_Milne"},{"year":1994,"text":"Carlos Guzmán, Mexican footballer","url":"https://en.wikipedia.org/wiki/Carlos_Guzm%C3%A1n"},{"year":1992,"text":"Michele Camporese, Italian footballer","url":"https://en.wikipedia.org/wiki/Michele_Camporese"}],"deaths":[{"year":2024,"text":"Christian Malanga, Congolese politician, businessman and military officer (born 1983)","url":"https://en.wikipedia.org/wiki/Christian_Malanga"},{"year":2024,"text":"Victims in the 2024 Varzaqan helicopter crash:","url":"https://en.wikipedia.org/wiki/Hossein_Amir-Abdollahian"},{"year":2024,"text":"Victims in the 2024 Varzaqan helicopter crash:","url":"https://en.wikipedia.org/wiki/Ebrahim_Raisi"},{"year":2023,"text":"Andy Rourke, English bassist (born 1964)","url":"https://en.wikipedia.org/wiki/Andy_Rourke"},{"year":2021,"text":"Paul Mooney, American comedian (born 1941)","url":"https://en.wikipedia.org/wiki/Paul_Mooney_(comedian)"},{"year":2018,"text":"Zhengzhang Shangfang, Chinese linguist (born 1933)","url":"https://en.wikipedia.org/wiki/Zhengzhang_Shangfang"},{"year":2017,"text":"Nawshirwan Mustafa, General coordinator of the Movement for Change (Gorran) (born 1944)","url":"https://en.wikipedia.org/wiki/Nawshirwan_Mustafa"},{"year":2017,"text":"Stanislav Petrov, Lt. Colonel in Soviet Air Defence Forces (born 1939)","url":"https://en.wikipedia.org/wiki/Stanislav_Petrov"}]},"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."}