{"date":"2026-10-16","schema_version":1,"captured_at":"2026-10-17T08:47:40.593Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"GBU-43/B MOAB","views":453110,"rank":4,"extract":"The GBU-43/B Massive Ordnance Air Blast is a large-yield bomb, developed for the United States military by Albert L. Weimorts, Jr. of the Air Force Research Laboratory. It was first tested in 2003. At the time of development, it was said to be the most powerfu","url":"https://en.wikipedia.org/wiki/GBU-43%2FB_MOAB","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/4/42/MOABAFAM.JPG/330px-MOABAFAM.JPG?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Katie Zacharia","views":428191,"rank":5,"extract":"Kate Sharon Zacharia (née Black) is an American political commentator who served as the 37th White House press secretary in October 2026. 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Low","points":191,"comments":199,"url":"https://news.gallup.com/poll/708614/desire-migrate-drops-new-low.aspx","discussion":"https://news.ycombinator.com/item?id=50120664"},{"title":"Big Fish: Exploiting a 37-Year-Old Kernel Bug in OpenBSD","points":187,"comments":58,"url":"https://calif.io/research/big-fish","discussion":"https://news.ycombinator.com/item?id=50118977"},{"title":"FLUX 3 Image Klein","points":163,"comments":45,"url":"https://bfl.ai/blog/flux-3-image-klein","discussion":"https://news.ycombinator.com/item?id=50123580"},{"title":"/dev/null: social network for developers","points":151,"comments":132,"url":"https://dev-null.sh","discussion":"https://news.ycombinator.com/item?id=50121004"},{"title":"What on Earth Is Dekton?","points":146,"comments":52,"url":"https://www.worksinprogress.news/p/porcelain","discussion":"https://news.ycombinator.com/item?id=50118828"},{"title":"Designing more efficient quantum circuits with Claude","points":135,"comments":32,"url":"https://www.anthropic.com/research/designing-efficient-quantum-circuits","discussion":"https://news.ycombinator.com/item?id=50121939"}],"research":[{"title":"Learning From How Humans Correct","abstract":"In industry NLP application, our manually labeled data has a certain number of noisy data. We present a simple method to find the noisy data and relabel them manually, meanwhile we collect the correction information. Then we present novel method to incorporate the human correction information into deep learning model. Human know how to correct noisy data. So the correction information can be inject into deep learning","authors":["Guo, Tong"],"url":"https://arxiv.org/abs/2102.00225","arxiv_id":"2102.00225","published":"2026-10-16"},{"title":"The Re-Label Method For Data-Centric Machine Learning","abstract":"In industry deep learning application, our manually labeled data has a certain number of noisy data. To solve this problem and achieve more than 90 score in dev dataset, we present a simple method to find the noisy data and re-label the noisy data by human, given the model predictions as references in human labeling. In this paper, we illustrate our idea for a broad set of deep learning tasks, includes classification","authors":["Guo, Tong"],"url":"https://arxiv.org/abs/2302.04391","arxiv_id":"2302.04391","published":"2026-10-16"},{"title":"LOOP-MAC: Learning-Based Multi-Agent Coordination with Guaranteed Local Feasibility in a Virtual Power Plant","abstract":"By aggregating distributed energy resources (DERs) into a single dispatchable resource, virtual power plants (VPPs) enable the grid to use the flexibility of numerous small-scale DERs. Delivering an aggregate VPP commitment requires multi-agent coordination, where agents manage local DER models and operating constraints while jointly meeting a power commitment within limited communication rounds. Classical distribute","authors":["Li, Meiyi","Ruda, Lucas","Mohammadi, Javad"],"url":"https://arxiv.org/abs/2310.17882","arxiv_id":"2310.17882","published":"2026-10-16"},{"title":"Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker","abstract":"Artificial Neural Networks (ANN) have gained significant popularity thanks to their ability to learn using the well-known backpropagation algorithm. Conversely, Spiking Neural Networks (SNNs), despite having broader capabilities than ANNs, have always posed challenges in the training phase. This paper shows a new method to perform supervised learning on SNNs, using Spike Timing Dependent Plasticity (STDP) and homeost","authors":["Davies, Sergio","Gait, Andrew","Rowley, Andrew","Di Nuovo, Alessandro"],"url":"https://arxiv.org/abs/2312.02659","arxiv_id":"2312.02659","published":"2026-10-16"},{"title":"InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write","abstract":"Digital note-taking is gaining popularity, offering a durable, editable, and easily indexable way of storing notes in a vectorized form, known as digital ink. However, a substantial gap remains between this way of note-taking and traditional pen-and-paper note-taking, a practice that is still favored by a vast majority. Our work InkSight, aims to bridge the gap by empowering physical note-takers to effortlessly conve","authors":["Mitrevski, Blagoj","Rak, Arina","Schnitzler, Julian","Li, Chengkun","Maksai, Andrii","Berent, Jesse"],"url":"https://arxiv.org/abs/2402.05804","arxiv_id":"2402.05804","published":"2026-10-16"},{"title":"SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning","abstract":"Human Activity Recognition (HAR) is a well-studied field with research dating back to the 1980s. Over time, HAR technologies have evolved significantly from manual feature extraction, rule-based algorithms, and simple machine learning models to powerful deep learning models, from one sensor type to a diverse array of sensing modalities. The scope has also expanded from recognising a limited set of activities to encom","authors":["Nguyen, Duc-Anh","Le-Khac, Nhien-An"],"url":"https://arxiv.org/abs/2405.00712","arxiv_id":"2405.00712","published":"2026-10-16"},{"title":"Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion","abstract":"Controllable video generation has attracted significant attention, largely due to advances in video diffusion models. In domains such as autonomous driving, it is essential to develop highly accurate predictions for object motions. This paper tackles a crucial challenge of how to exert precise control over object motion for realistic video synthesis. To accomplish this, we 1) control object movements using bounding b","authors":["Luo, Ge Ya","Luo, Zhi Hao","Gosselin, Anthony","Jolicoeur-Martineau, Alexia","Pal, Christopher"],"url":"https://arxiv.org/abs/2406.05630","arxiv_id":"2406.05630","published":"2026-10-16"},{"title":"MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs","abstract":"Generative large language models (LLMs) have been shown to exhibit harmful biases and stereotypes. While safety fine-tuning typically takes place in English, if at all, these models are being used by speakers of many different languages. There is existing evidence that the performance of these models is inconsistent across languages and that they discriminate based on demographic factors of the user. Motivated by thi","authors":["Neplenbroek, Vera","Bisazza, Arianna","Fernández, Raquel"],"url":"https://arxiv.org/abs/2406.07243","arxiv_id":"2406.07243","published":"2026-10-16"},{"title":"Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test","abstract":"In this article, we introduce the novel concept of the second maximum of a Gaussian random field defined on a Riemannian manifold: Once the field reaches its global maximum at a point $t_1$, the second maximum is the largest value of the field away from $t_1$, after the value and the gradient of the field at $t_1$ have been removed. This statistic serves as a powerful tool for characterizing the distribution of the g","authors":["Azaïs, Jean-Marc","Dalmao, Federico","De Castro, Yohann"],"url":"https://arxiv.org/abs/2406.18397","arxiv_id":"2406.18397","published":"2026-10-16"},{"title":"Pairwise Difference Learning for Classification","abstract":"Pairwise difference learning (PDL) has recently been introduced as a new meta-learning technique for regression. Instead of learning a mapping from instances to outcomes in the standard way, the key idea is to learn a function that takes two instances as input and predicts the difference between the respective outcomes. Given a function of this kind, predictions for a query instance are derived from every training ex","authors":["Belaid, Mohamed Karim","Rabus, Maximilian","Hüllermeier, Eyke"],"url":"https://arxiv.org/abs/2406.20031","arxiv_id":"2406.20031","published":"2026-10-16"},{"title":"UNLEARN Efficient Removal of Knowledge in Large Language Models","abstract":"Given the prevalence of large language models (LLMs) and the prohibitive cost of training these models from scratch, dynamically forgetting specific knowledge e.g., private or proprietary, without retraining the model has become an important capability. This paper proposes a novel method to achieve this objective called UNLEARN. The approach builds upon subspace methods to identify and specifically target the removal","authors":["Lizzo, Tyler","Heck, Larry"],"url":"https://arxiv.org/abs/2408.04140","arxiv_id":"2408.04140","published":"2026-10-16"},{"title":"LLMR: Knowledge Distillation with a Large Language Model-Induced Reward","abstract":"Large language models have become increasingly popular and demonstrated remarkable performance in various natural language processing (NLP) tasks. However, these models are typically computationally expensive and difficult to be deployed in resource-constrained environments. In this paper, we propose LLMR, a novel knowledge distillation (KD) method based on a reward function induced from large language models. We con","authors":["Li, Dongheng","Hao, Yongchang","Mou, Lili"],"url":"https://arxiv.org/abs/2409.12500","arxiv_id":"2409.12500","published":"2026-10-16"},{"title":"Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality","abstract":"The Fréchet Video Distance (FVD) is a widely adopted metric for evaluating video generation distribution quality. However, its effectiveness relies on critical assumptions. Our analysis reveals three significant limitations: (1) the non-Gaussianity of the Inflated 3D Convnet (I3D) feature space; (2) the insensitivity of I3D features to temporal distortions; (3) the impractical sample sizes required for reliable estim","authors":["Luo, Ge Ya","Favero, Gian Mario","Luo, Zhi Hao","Jolicoeur-Martineau, Alexia","Pal, Christopher"],"url":"https://arxiv.org/abs/2410.05203","arxiv_id":"2410.05203","published":"2026-10-16"},{"title":"STAMP: Symmetric Temporal Averaging Message Passing for Domain Adaptation in Chronologically Split Graphs","abstract":"This paper addresses domain adaptation in graph-structured data under chronological splits. We consider transductive semi-supervised node classification (SSNC), in which labels of historical nodes are used to predict labels of more recent nodes. Temporal dependencies in graph connectivity induce distribution shifts across time, often degrading the performance of models trained on past nodes. Despite its practical rel","authors":["Park, Joo Young","Park, Sejun","Park, Hyunwoo"],"url":"https://arxiv.org/abs/2411.10957","arxiv_id":"2411.10957","published":"2026-10-16"},{"title":"Text-to-Image Synthesis: A Decade Survey","abstract":"Text-to-image synthesis (T2I) focuses on generating high-quality images from textual descriptions In this survey, we review 490 papers on T2I spanning the past decade, with representative advances covered through 2026. We start by briefly introducing how GANs, autoregressive models, and diffusion models have been used for image generation, and we additionally examine the shared components whose evolution has driven r","authors":["Zhang, Nonghai","Tang, Hao"],"url":"https://arxiv.org/abs/2411.16164","arxiv_id":"2411.16164","published":"2026-10-16"},{"title":"KULTURE Bench: A Benchmark for Assessing Language Model in Korean Cultural Context","abstract":"Large language models have exhibited significant enhancements in performance across various tasks. However, the complexity of their evaluation increases as these models generate more fluent and coherent content. Current multilingual benchmarks often use translated English versions, which may incorporate Western cultural biases that do not accurately assess other languages and cultures. To address this research gap, w","authors":["Wang, Xiaonan","Yeo, Jinyoung","Lim, Joon-Ho","Kim, Hansaem"],"url":"https://arxiv.org/abs/2412.07251","arxiv_id":"2412.07251","published":"2026-10-16"},{"title":"A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language","abstract":"Psychological evaluation relies on clinicians' observation and interpretation of a patient's emotional expression, which is susceptible to subjectivity, bias, fatigue, and inconsistency. This paper presents a multimodal emotion recognition system designed to support, rather than replace, the evaluator. The system combines facial expression recognition, speech emotion recognition, text-based emotion recognitio","authors":["Kraack, Kris"],"url":"https://arxiv.org/abs/2412.17907","arxiv_id":"2412.17907","published":"2026-10-16"},{"title":"BOLT: Universal Classifier Training via a Bayes-Error Upper Bound","abstract":"This work introduces a novel approach to compute a universal upper bound on the Bayes error rate (BER) from classifier-output samples, which serves as a Bayes-error-related performance criterion for the underlying classification task. We show that the bound is tight in the binary case and characterize the max-sum gap that appears in the aggregate multiclass formulation. Based on this bound, we define a new loss funct","authors":["Naeini, Mohammadreza Tavasoli","Bereyhi, Ali","Noshad, Morteza","Liang, Ben","Hero III, Alfred O."],"url":"https://arxiv.org/abs/2501.07754","arxiv_id":"2501.07754","published":"2026-10-16"},{"title":"Atomic Proximal Policy Optimization for Electric Robo-Taxi Dispatch and Charger Allocation","abstract":"Pioneering companies such as Waymo have deployed electric robo-taxi services in several U.S. cities. Operating such fleets requires coordinating ride matching, vehicle repositioning, and battery charging in a stochastic environment while accounting for limited charging infrastructure. Understanding both how to design efficient, scalable control algorithms for large fleets and how charger deployment shapes system perf","authors":["Dai, Jim","Wu, Manxi","Zhang, Zhanhao"],"url":"https://arxiv.org/abs/2502.13392","arxiv_id":"2502.13392","published":"2026-10-16"},{"title":"FANTF: Fuzzy attention network based transformers for time series analysis","abstract":"This paper introduces Fuzzy Attention Network-Based Transformer (FANTF), an approach for time series forecasting, classification, and anomaly detection. FANTF combines fuzzy logic concepts with transformer architectures through a novel fuzzy attention mechanism. The proposed mechanism is inspired by Type-2 fuzzy set theory. It uses a learnable Gaussian uncertainty perturbation to model uncertainty in attention releva","authors":["Chakraborty, Sanjay","Heintz, Fredrik"],"url":"https://arxiv.org/abs/2504.00070","arxiv_id":"2504.00070","published":"2026-10-16"},{"title":"A self-learning framework for adaptive free-form pipe routing in aeroengines","abstract":"Pipe routing is a highly complex, time-consuming, and no-deterministic polynomial-time hard (NP-hard) problem in aeroengine design. Despite extensive research efforts in optimizing constant-curvature pipe routing, the growing demand for free-form pipes poses new challenges. Dynamic design environments and fuzzy layout rules further impact the optimization performance and efficiency. To tackle these challenges, this s","authors":["Wang, Caicheng","Wang, Zili","Zhang, Shuyou","Xiang, Yongzhe","Li, Zheyi","Tan, Jianrong"],"url":"https://arxiv.org/abs/2504.03669","arxiv_id":"2504.03669","published":"2026-10-16"},{"title":"Generalising from Self-Produced Data: Model Training Beyond Human Constraints","abstract":"Current large language models (LLMs) are constrained by human-derived training data and limited by a single level of abstraction that impedes definitive truth judgments. This paper introduces a novel framework in which AI models autonomously generate and validate new knowledge through direct interaction with their environment. Central to this approach is an unbounded, ungamable numeric reward - such as annexed disk s","authors":["Alhajir, Alfath Daryl","Dodgson, Jennifer","Lim, Joseph","Phi, Truong Ma","Peh, Julian","Pattirane, Akira Rafhael Janson"],"url":"https://arxiv.org/abs/2504.04711","arxiv_id":"2504.04711","published":"2026-10-16"},{"title":"Towards Reliable Long-Context Reasoning: Detecting Unanswerable Questions via FactGuard","abstract":"Despite the success of Large Language Models (LLMs) in long-context tasks, their reliability in recognizing unanswerable questions remains a critical challenge. In information-seeking scenarios, models often suffer from overconfidence and hallucinations when evidence is missing or misleading. In this paper, we propose FACTGUARD, a systematic multi-task workflow for generating evidence-grounded answerable and unanswer","authors":["Zhang, Qian-Wen","Liu, Biao","Li, Fang","Wang, Jie","Qiao, Lingfeng","Yu, Yifei"],"url":"https://arxiv.org/abs/2504.05607","arxiv_id":"2504.05607","published":"2026-10-16"},{"title":"Learning in Structured Stackelberg Games","abstract":"We initiate the study of structured Stackelberg games, a novel form of strategic interaction between a leader and a follower where contextual information can be predictive of the follower's (unknown) type. Motivated by applications such as security games and AI safety, we show how this additional structure can help the leader learn a utility-maximizing policy in both the online and distributional settings. In the","authors":["Balcan, Maria-Florina","Fragkia, Kiriaki","Harris, Keegan"],"url":"https://arxiv.org/abs/2504.09006","arxiv_id":"2504.09006","published":"2026-10-16"},{"title":"Chronology of Multi-Agent Interactions for Provenance of Evolving Information","abstract":"Provenance is the chronological history of things, resonating with the fundamental pursuit to uncover origins, trace connections, and situate entities within the flow of space and time. As artificial intelligence advances towards autonomous agents capable of interactive collaboration on complex tasks, the provenance of generated content becomes entangled in the interplay of collective creation, where contributions ar","authors":["Chang, Ching-Chun","Echizen, Isao"],"url":"https://arxiv.org/abs/2504.12612","arxiv_id":"2504.12612","published":"2026-10-16"}],"history":{"events":[{"year":2017,"text":"The Maltese journalist and anti-corruption activist Daphne Caruana Galizia was killed in a car bomb attack in Bidnija.","url":"https://en.wikipedia.org/wiki/Daphne_Caruana_Galizia"},{"year":2013,"text":"In Laos's deadliest air accident, Lao Airlines Flight 301 crashed into the Mekong River, resulting in the deaths of all 49 people aboard.","url":"https://en.wikipedia.org/wiki/Lao_Airlines_Flight_301"},{"year":1991,"text":"A man drove his vehicle through the window of a Luby's Cafeteria in Killeen, Texas, and opened fire, killing 23 people before fatally shooting himself.","url":"https://en.wikipedia.org/wiki/Luby's"},{"year":1973,"text":"The Norwegian Nobel Committee announced that the 1973 Nobel Peace Prize would be jointly awarded to Henry Kissinger and Lê Đức Thọ, sparking international controversy.","url":"https://en.wikipedia.org/wiki/Norwegian_Nobel_Committee"},{"year":1964,"text":"With the success of Project 596, China became the world's fifth nuclear power.","url":"https://en.wikipedia.org/wiki/Project_596"},{"year":1950,"text":"The first novel of the The Chronicles of Narnia series by C. S. Lewis, The Lion, the Witch and the Wardrobe, was published in the United Kingdom.","url":"https://en.wikipedia.org/wiki/The_Chronicles_of_Narnia"},{"year":1944,"text":"A four-day air battle over Taiwan ended with a decisive American victory, destroying hundreds of Japanese aircraft and military facilities.","url":"https://en.wikipedia.org/wiki/Formosa_Air_Battle"},{"year":1943,"text":"The Holocaust: The Gestapo conducted a raid on the Roman Ghetto, capturing 1,259 members of the Jewish community, most of whom were sent to Auschwitz.","url":"https://en.wikipedia.org/wiki/The_Holocaust"},{"year":1926,"text":"Háry János (poster pictured), a Hungarian folk opera by Zoltán Kodály, was premiered at the Royal Hungarian Opera House in Budapest.","url":"https://en.wikipedia.org/wiki/H%C3%A1ry_J%C3%A1nos"},{"year":1923,"text":"Roy and Walt Disney (pictured) founded the Disney Brothers Cartoon Studio in Hollywood, which eventually grew to become one of the largest media and entertainment corporations in the world.","url":"https://en.wikipedia.org/wiki/Roy_O._Disney"},{"year":1916,"text":"Margaret Sanger (pictured) established the United States' first family planning clinic in Brooklyn, New York.","url":"https://en.wikipedia.org/wiki/Margaret_Sanger"},{"year":1905,"text":"Authorities of the British Raj partitioned the Bengal Presidency, separating the largely Muslim eastern areas from the largely Hindu western areas.","url":"https://en.wikipedia.org/wiki/British_Raj"},{"year":1875,"text":"Brigham Young University was founded in Provo, Utah, United States.","url":"https://en.wikipedia.org/wiki/Brigham_Young_University"},{"year":1841,"text":"The Church of Scotland established Queen's College in Kingston, Ontario, in Canada.","url":"https://en.wikipedia.org/wiki/Church_of_Scotland"},{"year":1834,"text":"Most of the Palace of Westminster in London was destroyed in a fire caused by the burning of wooden tally sticks.","url":"https://en.wikipedia.org/wiki/Palace_of_Westminster"},{"year":1813,"text":"The Sixth Coalition attacked French forces led by Napoleon in the Battle of Leipzig, the largest conflict in the Napoleonic Wars, with over 500,000 troops involved.","url":"https://en.wikipedia.org/wiki/War_of_the_Sixth_Coalition"},{"year":1793,"text":"War of the First Coalition: The two-day Battle of Wattignies concluded with Jean-Baptiste Jourdan leading French forces to victory over Prince Josias of Saxe-Coburg-Saalfeld.","url":"https://en.wikipedia.org/wiki/War_of_the_First_Coalition"},{"year":1384,"text":"Jadwiga was officially crowned as \"King of Poland\" instead of \"Queen\" to reflect the fact that she was a sovereign in her own right.","url":"https://en.wikipedia.org/wiki/Jadwiga_of_Poland"}],"births":[{"year":2005,"text":"Ruby Rose Turner, American actress","url":"https://en.wikipedia.org/wiki/Ruby_Rose_Turner"},{"year":2003,"text":"Scott Ogden, British motorcycle racer","url":"https://en.wikipedia.org/wiki/Scott_Ogden"},{"year":2001,"text":"Willian Pacho, Ecuadorian footballer","url":"https://en.wikipedia.org/wiki/Willian_Pacho"},{"year":1999,"text":"Aaron Nesmith, American basketball player","url":"https://en.wikipedia.org/wiki/Aaron_Nesmith"},{"year":1999,"text":"Nicolò Bulega, Italian motorcycle racer","url":"https://en.wikipedia.org/wiki/Nicol%C3%B2_Bulega"},{"year":1997,"text":"Aliou Dieng, Malian footballer","url":"https://en.wikipedia.org/wiki/Aliou_Dieng"},{"year":1997,"text":"Charles Leclerc, Monégasque racing driver","url":"https://en.wikipedia.org/wiki/Charles_Leclerc"},{"year":1997,"text":"Naomi Osaka, Japanese tennis player","url":"https://en.wikipedia.org/wiki/Naomi_Osaka"}],"deaths":[{"year":2024,"text":"Ollie Olsen, Australian musician, composer and sound designer (born 1958)","url":"https://en.wikipedia.org/wiki/Ollie_Olsen"},{"year":2024,"text":"Liam Payne, English singer-songwriter from One Direction (born 1993)","url":"https://en.wikipedia.org/wiki/Liam_Payne"},{"year":2024,"text":"Yahya Sinwar, leader of Hamas (born 1962)","url":"https://en.wikipedia.org/wiki/Yahya_Sinwar"},{"year":2023,"text":"Martti Ahtisaari, former President of Finland and Nobel Prize laureate (born 1937)","url":"https://en.wikipedia.org/wiki/Martti_Ahtisaari"},{"year":2017,"text":"Daphne Caruana Galizia, Maltese journalist and blogger (born 1964)","url":"https://en.wikipedia.org/wiki/Daphne_Caruana_Galizia"},{"year":2017,"text":"Roy Dotrice, British actor (born 1923)","url":"https://en.wikipedia.org/wiki/Roy_Dotrice"},{"year":2017,"text":"John Dunsworth, Canadian actor (born 1946)","url":"https://en.wikipedia.org/wiki/John_Dunsworth"},{"year":2017,"text":"Sean Hughes, British-born Irish stand-up comedian (born 1965)","url":"https://en.wikipedia.org/wiki/Sean_Hughes_(comedian)"}]},"census":{"panel_version":2,"probed":14770,"error_rate":16.78,"degraded":false,"rates":{"head":12.6,"tail":6.7,"ai_native":73.64}},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","license":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","license":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"license":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}