{"date":"2026-06-10","schema_version":1,"captured_at":"2026-08-25T23:11:52.742Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Victor Wembanyama","views":343601,"rank":4,"extract":"Victor Wembanyama, nicknamed \"Wemby\" and \"the Alien\", is a French professional basketball player for the San Antonio Spurs of the National Basketball Association (NBA). 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He was sentenced to indefinite detention at Broadmoor Hospital on 18 December 2008 for the manslaughter of Ra","url":"https://en.wikipedia.org/wiki/Robert_Napper","thumb":null},{"title":"XXX","views":67409,"rank":35,"extract":"XXX may refer to:","url":"https://en.wikipedia.org/wiki/XXX","thumb":null}],"frontier":[{"title":"Building an HTML-first site doubled our users overnight","points":1278,"comments":569,"url":"https://mohkohn.co.uk/writing/html-first/","discussion":"https://news.ycombinator.com/item?id=48475483"},{"title":"macOS Container Machines","points":1269,"comments":437,"url":"https://github.com/apple/container/blob/main/docs/container-machine.md","discussion":"https://news.ycombinator.com/item?id=48469658"},{"title":"German ruling declares Google liable for false answers in AI 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While this claim is partially true, it is also because the availability of resources is inadequately advertised and curated. This work curates and reviews a list of Korean corpora, first describing institution-level resource development, then further iterate through a list of current open datasets for different types of tasks. We then p","authors":["Cho, Won Ik","Moon, Sangwhan","Song, Youngsook"],"url":"https://arxiv.org/abs/2012.15621","arxiv_id":"2012.15621","published":"2026-06-10"},{"title":"Time series forecasting from partial observations via Non-negative Matrix Factorization","abstract":"In modern time series problems, one aims at forecasting multiple time series with possible missing and noisy values. In this paper, we introduce the Sliding Mask Method (SMM) for forecasting multiple nonnegative time series by means of nonnegative matrix completion: observed noisy values and forecast/missing values are collected into matrix form, and learning is achieved by representing its rows as a convex combinati","authors":["de Castro, Yohann","Mencarelli, Luca"],"url":"https://arxiv.org/abs/2102.05314","arxiv_id":"2102.05314","published":"2026-06-10"},{"title":"Belief Acquisition as Stochastic Filtering","abstract":"This paper studies how belief acquisition can be accomplished using stochastic filtering. First, a theoretical foundation for empirical beliefs is outlined. Then stochastic filtering in this context is studied. The paper introduces factored conditional filters, new filtering algorithms for simultaneously tracking states and estimating parameters in high-dimensional state spaces. The conditional nature of the algorith","authors":["Chen, Dawei","Lloyd, John","Yang-Zhao, Samuel","Ng, Kee Siong"],"url":"https://arxiv.org/abs/2206.02178","arxiv_id":"2206.02178","published":"2026-06-10"},{"title":"Scalably learning quantum many-body Hamiltonians from dynamical data","abstract":"The physics of a closed quantum mechanical system is governed by its Hamiltonian. However, in most practical situations, this Hamiltonian is not precisely known, and ultimately all there is are data obtained from measurements on the system. In this work, we introduce a highly scalable, data-driven approach to learning families of interacting many-body Hamiltonians from dynamical data, by bringing together techniques ","authors":["Wilde, Frederik","Kshetrimayum, Augustine","Roth, Ingo","Hangleiter, Dominik","Sweke, Ryan","Eisert, Jens"],"url":"https://arxiv.org/abs/2209.14328","arxiv_id":"2209.14328","published":"2026-06-10"},{"title":"DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech","abstract":"When beginners learn to speak a non-native language, it is difficult for them to judge for themselves whether they are speaking well. Therefore, computer-assisted pronunciation training systems are used to detect learner mispronunciations. These systems typically compare the user's speech with that of a specific native speaker as a model in units of rhythm, phonemes, or words and calculate the differences. Howeve","authors":["Kawamura, Kazuki","Rekimoto, Jun"],"url":"https://arxiv.org/abs/2212.04930","arxiv_id":"2212.04930","published":"2026-06-10"},{"title":"The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)","abstract":"Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they are among the deadliest types of cancer, with a survival rate of less than 2 years after diagnosis. Gliomas are challenging to diagnose, hard to treat and inherently resistant to conventional therapy. Years of extensive research to improve diagnosis and treatment of gliomas have decreased mortality rates across the Gl","authors":["Adewole, Maruf","Rudie, Jeffrey D.","Gbadamosi, Anu","Toyobo, Oluyemisi","Raymond, Confidence","Zhang, Dong"],"url":"https://arxiv.org/abs/2305.19369","arxiv_id":"2305.19369","published":"2026-06-10"},{"title":"The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning","abstract":"How does scaling the number of parameters in large language models (LLMs) affect their core capabilities? We study two natural scaling techniques -- weight pruning and simply training a smaller or larger model, which we refer to as dense scaling -- and their effects on two core capabilities of LLMs: (a) recalling facts presented during pre-training and (b) processing information presented in-context during inference.","authors":["Jin, Tian","Clement, Nolan","Dong, Xin","Nagarajan, Vaishnavh","Carbin, Michael","Ragan-Kelley, Jonathan"],"url":"https://arxiv.org/abs/2310.04680","arxiv_id":"2310.04680","published":"2026-06-10"},{"title":"The Emergence of Reproducibility and Generalizability in Diffusion Models","abstract":"In this work, we investigate an intriguing and prevalent phenomenon of diffusion models which we term as "consistent model reproducibility": given the same starting noise input and a deterministic sampler, different diffusion models often yield remarkably similar outputs. We confirm this phenomenon through comprehensive experiments, implying that different diffusion models consistently reach the same data dis","authors":["Zhang, Huijie","Zhou, Jinfan","Lu, Yifu","Guo, Minzhe","Wang, Peng","Shen, Liyue"],"url":"https://arxiv.org/abs/2310.05264","arxiv_id":"2310.05264","published":"2026-06-10"},{"title":"Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey","abstract":"Deep Reinforcement Learning (DRL) is a subfield of machine learning for training autonomous agents that take sequential actions across complex environments. Despite its significant performance in well-known environments, it remains susceptible to minor condition variations, raising concerns about its reliability in real-world applications. To improve usability, DRL must demonstrate trustworthiness and robustness. A w","authors":["Schott, Lucas","Delas, Josephine","Hajri, Hatem","Gherbi, Elies","Yaich, Reda","Boulahia-Cuppens, Nora"],"url":"https://arxiv.org/abs/2403.00420","arxiv_id":"2403.00420","published":"2026-06-10"},{"title":"Mixtures of Neural Operators Reduce Active Complexity in Operator Learning","abstract":"Operator-learning systems are not governed solely by total parameter count; for one query, the relevant bottleneck can be the model that must be loaded and evaluated. We study this distinction for classical neural operators on compact Sobolev subsets through a constructive comparison between routed mixtures of neural operators (MoNOs) and a fixed single-neural-operator construction. The comparison concerns expert-act","authors":["Kratsios, Anastasis","Furuya, Takashi","Benitez, Jose Antonio Lara","Lassas, Matti","de Hoop, Maarten"],"url":"https://arxiv.org/abs/2404.09101","arxiv_id":"2404.09101","published":"2026-06-10"},{"title":"Standard Language Ideology in AI-Generated Language","abstract":"Large language models (LLMs) generate text that reinforces standard language ideology: a bias towards certain language varieties that are granted more prestige, authority, and legitimacy than others. This paper contributes a sociotechnically grounded faceted taxonomy that illustrates how generative AI systems reproduce standard language ideology and its societal implications. We introduce the concept of standard AI-g","authors":["Smith, Genevieve","Fleisig, Eve","Rustagi, Ishita","Yin, Xavier"],"url":"https://arxiv.org/abs/2406.08726","arxiv_id":"2406.08726","published":"2026-06-10"},{"title":"EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain","abstract":"It is crucial to understand a specific domain by events. Extensive event extraction research has been conducted in many domains such as news, finance, and biology. However, event extraction in scientific domain is still insufficiently supported by comprehensive datasets and tailored methods. Compared with other domains, scientific domain has two characteristics: (1) denser nuggets and events, and (2) more complex inf","authors":["Lu, Yi-Fan","Mao, Xian-Ling","Wang, Bo","Liu, Xiao","Huang, Heyan"],"url":"https://arxiv.org/abs/2406.14075","arxiv_id":"2406.14075","published":"2026-06-10"},{"title":"3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods","abstract":"3D Gaussian Splatting (3DGS) has emerged as a cutting-edge technique for real-time radiance field rendering, offering state-of-the-art performance in terms of both quality and speed. 3DGS models a scene as a collection of three-dimensional Gaussians, with additional attributes optimized to conform to the scene's geometric and visual properties. Despite its advantages in rendering speed and image fidelity, 3DGS is","authors":["Bagdasarian, Milena T.","Knoll, Paul","Li, Yi-Hsin","Barthel, Florian","Hilsmann, Anna","Eisert, Peter"],"url":"https://arxiv.org/abs/2407.09510","arxiv_id":"2407.09510","published":"2026-06-10"},{"title":"BadRobot: Jailbreaking Embodied LLM Agents in the Physical World","abstract":"Embodied AI represents systems where AI is integrated into physical entities. Large Language Model (LLM), which exhibits powerful language understanding abilities, has been extensively employed in embodied AI by facilitating sophisticated task planning. However, a critical safety issue remains overlooked: could these embodied LLMs perpetrate harmful behaviors? In response, we introduce BadRobot, a novel attack paradi","authors":["Zhang, Hangtao","Zhu, Chenyu","Wang, Xianlong","Zhou, Ziqi","Yin, Changgan","Li, Minghui"],"url":"https://arxiv.org/abs/2407.20242","arxiv_id":"2407.20242","published":"2026-06-10"},{"title":"A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boosting","abstract":"Sleep plays a crucial role in neonatal development. Monitoring the sleep patterns in neonates in a Neonatal Intensive Care Unit (NICU) is imperative for understanding the maturation process. While polysomnography (PSG) is considered the best practice for sleep classification, its expense and reliance on human annotation pose challenges. Existing research often relies on multichannel EEG signals; however, concerns ari","authors":["Bisharat, Arslan","Mubeen, Muhammad","Abbasi, Saadullah Farooq","Khan, Muhammad Shahbaz","Boulila, Wadii","Ahmad, Jawad"],"url":"https://arxiv.org/abs/2408.07925","arxiv_id":"2408.07925","published":"2026-06-10"},{"title":"Active-Passive Federated Learning for Vertically Partitioned Multi-view Data","abstract":"Vertical federated learning is a natural and elegant approach to integrate multi-view data vertically partitioned across devices (clients) while preserving their privacies. Apart from the model training, existing methods requires the collaboration of all clients in the model inference. However, the model inference is probably maintained for service in a long time, while the collaboration, especially when the clients ","authors":["Liu, Jiyuan","Wang, Siqi","Wan, Xinhang","Zhang, Yi","Chen, Junsong","Lu, Xin"],"url":"https://arxiv.org/abs/2409.04111","arxiv_id":"2409.04111","published":"2026-06-10"},{"title":"The role of data embedding in quantum autoencoders for improved anomaly detection","abstract":"The performance of Quantum Autoencoders (QAEs) in anomaly detection tasks is critically dependent on the choice of data embedding and ansatz design. This study explores the effects of three data embedding techniques, data re-uploading, parallel embedding, and alternate embedding, on the representability and effectiveness of QAEs in detecting anomalies. Our findings reveal that even with relatively simple variational ","authors":["Araz, Jack Y.","Spannowsky, Michael"],"url":"https://arxiv.org/abs/2409.04519","arxiv_id":"2409.04519","published":"2026-06-10"},{"title":"Detecting LGBTQ+ Instances of Cyberbullying","abstract":"Social media continues to have an impact on the trajectory of humanity. However, its introduction has also weaponized keyboards, allowing the abusive language normally reserved for in-person bullying to jump onto the screen, i.e., cyberbullying. Cyberbullying poses a significant threat to adolescents globally, affecting the mental health and well-being of many. A group that is particularly at risk is the LGBTQ+ commu","authors":["Bisharat, Arslan","Madrigal, Manuel Sandoval","Abuhamad, Mohammed","Hall, Deborah L.","Silva, Yasin N."],"url":"https://arxiv.org/abs/2409.12263","arxiv_id":"2409.12263","published":"2026-06-10"},{"title":"Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly Detector","abstract":"The widespread usage of the Internet of Things (IoT) has raised the risks of cyber threats; thus, developing Anomaly Detection Systems (ADSs) that can adapt to evolving traffic pattern is critical. Previous studies primarily focused on offline unsupervised learning methods to safeguard ADSs, which is not applicable in practical real-world applications. In this paper, we design Adaptive NAD, an online and self-Adaptiv","authors":["Yuan, Yachao","Huang, Yu","Wu, Yingwen"],"url":"https://arxiv.org/abs/2410.22967","arxiv_id":"2410.22967","published":"2026-06-10"},{"title":"Conditional Vendi Score: Prompt-Aware Diversity Evaluation for Generative AI Models and LLMs","abstract":"Generative models guided by text prompts are widely evaluated for fidelity and prompt alignment, yet their ability to produce outputs remains underexplored. Existing diversity metrics such as Vendi and RKE, which are based on the von Neumann and Rényi entropies of kernel matrices, were developed for unconditional models and cannot distinguish prompt-induced from model-induced variability. We address this gap by intro","authors":["Jalali, Mohammad","Ospanov, Azim","Gohari, Amin","Farnia, Farzan"],"url":"https://arxiv.org/abs/2411.02817","arxiv_id":"2411.02817","published":"2026-06-10"},{"title":"Visual-TCAV: Concept-based Attribution and Saliency Maps for Post-hoc Explainability in Image Classification","abstract":"Convolutional Neural Networks (CNNs) have shown remarkable performance in image classification. However, interpreting their predictions is challenging due to the size and complexity of these models. State-of-the-art saliency methods generate local explanations highlighting the area in the input image where a class is identified but cannot explain how a concept of interest contributes to the prediction. On the other h","authors":["De Santis, Antonio","Campi, Riccardo","Bianchi, Matteo","Brambilla, Marco"],"url":"https://arxiv.org/abs/2411.05698","arxiv_id":"2411.05698","published":"2026-06-10"},{"title":"Whisper-GPT -- Continuous Discrete Hybrid Representation Language Models For Speech And Music","abstract":"We propose WHISPER-GPT: A generative large language model (LLM) for speech and music that allows us to work with continuous audio representations and discrete tokens simultaneously as part of a single architecture. There has been a huge surge in generative audio, speech, and music models that utilize discrete audio tokens derived from neural compression algorithms, e.g. ENCODEC. However, one of the major drawbacks of","authors":["Verma, Prateek"],"url":"https://arxiv.org/abs/2412.11449","arxiv_id":"2412.11449","published":"2026-06-10"},{"title":"Training Set Augmentation and Biology-Aware Harmonization Improve Radiomic Models for Lung Cancer Prediction in Indeterminate Nodules","abstract":"CT radiomics-based machine learning has potential to predict lung cancer in pulmonary nodules (PNs) earlier than standard-of-care methods. Low malignancy rates in early-development PNs and variable image acquisition hinder development of radiomic models for diagnosing these PNs. To address these challenges, we augmented training using later-development PNs and harmonized for acquisition effects. We examine early-deve","authors":["Huchthausen, Claire","Shi, Menglin","de Sousa, Gabriel L. A.","Larner, James","Janowski, Einsley","Colen, Jonathan"],"url":"https://arxiv.org/abs/2412.16758","arxiv_id":"2412.16758","published":"2026-06-10"},{"title":"Dynamics of Adversarial Attacks on Large Language Model-Based Search Engines","abstract":"The increasing integration of Large Language Model (LLM) based search engines has transformed the landscape of information retrieval. However, these systems are vulnerable to adversarial attacks, especially ranking manipulation attacks, where attackers craft webpage content to manipulate the LLM's ranking and promote specific content, gaining an unfair advantage over competitors. In this paper, we study the dynam","authors":["Hu, Xiyang"],"url":"https://arxiv.org/abs/2501.00745","arxiv_id":"2501.00745","published":"2026-06-10"},{"title":"Unleashing Correlation and Continuity for Hyperspectral Reconstruction from RGB Images","abstract":"Reconstructing Hyperspectral Images (HSI) from RGB images can yield high spatial resolution HSI at a lower cost, demonstrating significant application potential. This paper reveals that local correlation and global continuity of the spectral characteristics are crucial for HSI reconstruction tasks. Therefore, we fully explore these inter-spectral relationships and propose a Correlation and Continuity Network (CCNet) ","authors":["Feng, Fuxiang","Cong, Runmin","Wei, Shoushui","Zhang, Yipeng","Li, Jun","Kwong, Sam"],"url":"https://arxiv.org/abs/2501.01481","arxiv_id":"2501.01481","published":"2026-06-10"}],"history":{"events":[{"year":2024,"text":"A plane crash in Malawi, kills nine people, including Vice President Saulos Chilima.","url":"https://en.wikipedia.org/wiki/2024_Chikangawa_Dornier_228_crash"},{"year":2008,"text":"War in Afghanistan: A U.S. airstrike resulted in the reported deaths of eleven paramilitary members of the Pakistani Frontier Corps and eight Taliban fighters in Pakistan's tribal areas.","url":"https://en.wikipedia.org/wiki/War_in_Afghanistan_(2001%E2%80%932021)"},{"year":2008,"text":"Sudan Airways Flight 109 crashed on landing at Khartoum International Airport, killing 30 of the 214 occupants on board.","url":"https://en.wikipedia.org/wiki/Sudan_Airways_Flight_109"},{"year":1991,"text":"Eleven-year-old Jaycee Dugard was kidnapped in South Lake Tahoe, California; she remained a captive until 2009.","url":"https://en.wikipedia.org/wiki/Kidnapping_of_Jaycee_Dugard"},{"year":1987,"text":"Mass protests demanding direct presidential elections broke out across South Korea.","url":"https://en.wikipedia.org/wiki/June_Democratic_Struggle"},{"year":1968,"text":"The Royal New Zealand Navy adopted a unique white ensign, to distinguish its vessels from those of the Royal Navy.","url":"https://en.wikipedia.org/wiki/Royal_New_Zealand_Navy"},{"year":1957,"text":"Led by John Diefenbaker (pictured), the Progressive Conservative Party won a plurality of House of Commons seats in the Canadian federal election.","url":"https://en.wikipedia.org/wiki/John_Diefenbaker"},{"year":1935,"text":"American physician Bob Smith had his last alcoholic drink, marking the traditional founding date of Alcoholics Anonymous.","url":"https://en.wikipedia.org/wiki/Bob_Smith_(doctor)"},{"year":1925,"text":"The United Church of Canada, the country's largest Protestant denomination, held its inaugural service at the Mutual Street Arena in Toronto.","url":"https://en.wikipedia.org/wiki/United_Church_of_Canada"},{"year":1918,"text":"World War I: Italian torpedo boats sank the Austro-Hungarian dreadnought SMS Szent István off the Dalmatian coast, killing 89 of the crew.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1916,"text":"Hussein, King of Hejaz, orchestrated a revolt against the Ottoman Empire with the aim of creating a single unified and independent Arab state.","url":"https://en.wikipedia.org/wiki/Hussein%2C_King_of_Hejaz"},{"year":1913,"text":"During a labor strike in Ipswich, Massachusetts, police opened fire into a crowd of strikers, killing one and injuring several others.","url":"https://en.wikipedia.org/wiki/1913_Ipswich_Mills_strike"},{"year":1886,"text":"Mount Tarawera, a volcano in New Zealand's North Island, erupted (depicted), killing around 120 people and creating the Waimangu Volcanic Rift Valley.","url":"https://en.wikipedia.org/wiki/Mount_Tarawera"},{"year":1861,"text":"American Civil War: The Confederate Army only suffered eight casualties in its victory at the Battle of Big Bethel in York County, Virginia.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1838,"text":"At least 28 unarmed Indigenous Australians were massacred at Myall Creek, New South Wales.","url":"https://en.wikipedia.org/wiki/Indigenous_Australians"},{"year":1786,"text":"Ten days after being formed by an earthquake, a landslide dam on the Dadu River in China was destroyed by an aftershock, causing a flood that killed an estimated 100,000 people.","url":"https://en.wikipedia.org/wiki/1786_Kangding-Luding_earthquake"},{"year":1782,"text":"King Rama I moved into the Grand Palace in Bangkok, which has remained the royal residence of Siam and Thailand since then.","url":"https://en.wikipedia.org/wiki/Rama_I"},{"year":1692,"text":"Bridget Bishop became the first person to be executed for witchcraft in the Salem witch trials in colonial Massachusetts.","url":"https://en.wikipedia.org/wiki/Bridget_Bishop"}],"births":[{"year":2001,"text":"Julien Alfred, Saint Lucian sprinter","url":"https://en.wikipedia.org/wiki/Julien_Alfred"},{"year":1999,"text":"Rafael Leão, Portuguese footballer","url":"https://en.wikipedia.org/wiki/Rafael_Le%C3%A3o"},{"year":1999,"text":"Blanche, Belgian singer","url":"https://en.wikipedia.org/wiki/Blanche_(singer)"},{"year":1998,"text":"Ryan Papenhuyzen, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Ryan_Papenhuyzen"},{"year":1997,"text":"Cheung Ka-long, Hong Kong foil fencer, 2020 Olympic champion","url":"https://en.wikipedia.org/wiki/Cheung_Ka_Long"},{"year":1996,"text":"Wen Junhui, Chinese singer and actor","url":"https://en.wikipedia.org/wiki/Jun_(Chinese_entertainer)"},{"year":1992,"text":"Kate Upton, American model and actress","url":"https://en.wikipedia.org/wiki/Kate_Upton"},{"year":1991,"text":"Alexa Scimeca Knierim, American figure skater","url":"https://en.wikipedia.org/wiki/Alexa_Knierim"}],"deaths":[{"year":2026,"text":"Bharathiraja, Indian film and television actor, writer, director, and producer (born 1941)","url":"https://en.wikipedia.org/wiki/Bharathiraja"},{"year":2025,"text":"Suchinda Kraprayoon, Thai army general, 19th Prime Minister of Thailand (born 1933)","url":"https://en.wikipedia.org/wiki/Suchinda_Kraprayoon"},{"year":2024,"text":"Victims in the 2024 Chikangawa Dornier 228 crash:","url":"https://en.wikipedia.org/wiki/Saulos_Chilima"},{"year":2024,"text":"Victims in the 2024 Chikangawa Dornier 228 crash:","url":"https://en.wikipedia.org/wiki/Patricia_Shanil_Muluzi"},{"year":2024,"text":"Steele Hall, Australian politician, 36th Premier of South Australia (born 1928)","url":"https://en.wikipedia.org/wiki/Steele_Hall"},{"year":2023,"text":"Ted Kaczynski, American mathematician and domestic terrorist (born 1942)","url":"https://en.wikipedia.org/wiki/Ted_Kaczynski"},{"year":2020,"text":"Claudell Washington, American baseball player (born 1954)","url":"https://en.wikipedia.org/wiki/Claudell_Washington"},{"year":2018,"text":"Neal E. Boyd, American singer, winner of the 2008 season of America's Got Talent (born 1975)","url":"https://en.wikipedia.org/wiki/Neal_E._Boyd"}]},"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."}