{"date":"2026-01-07","schema_version":1,"captured_at":"2026-08-25T23:22:19.216Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":17},"attention":[{"title":"Liam Rosenior","views":413395,"rank":3,"extract":"Liam James Rosenior is an English professional football manager and former player who is the head coach of Ligue 1 club Paris FC.","url":"https://en.wikipedia.org/wiki/Liam_Rosenior","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/da/Liam_Rosenior_Lewes_0_BHA_0_18_July_2015.jpg/330px-Liam_Rosenior_Lewes_0_BHA_0_18_July_2015.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Nicolás Maduro","views":377487,"rank":4,"extract":"Nicolás Maduro Moros is a Venezuelan politician and former union leader who served as the 53rd president of Venezuela from 2013 until his capture during the United States intervention in Venezuela in 2026 for alleged drug trafficking to which he pleaded not gu","url":"https://en.wikipedia.org/wiki/Nicol%C3%A1s_Maduro","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Nicol%C3%A1s_Maduro_2016_crop.jpg/330px-Nicol%C3%A1s_Maduro_2016_crop.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Greenland","views":234860,"rank":6,"extract":"Greenland is an autonomous territory of the Kingdom of Denmark and is the largest of the kingdom's three constituent parts by land area, the others being Denmark proper and the Faroe Islands. 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Reservoir computing and deep sequential models, on the one hand, have demonstrated efficient, robust, and superior performance in modeling simple and chaotic dynamical systems. However, their innate deterministic feature has partially detracted their robustness to noisy system, and their inability to offer uncertai","authors":["Ding, Ziyang","Mukherjee, Sayan"],"url":"https://arxiv.org/abs/2012.07784","arxiv_id":"2012.07784","published":"2026-01-07"},{"title":"TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types","abstract":"We present TEyeD, the world's largest unified public data set of eye images taken with head-mounted devices. TEyeD was acquired with seven different head-mounted eye trackers. Among them, two eye trackers were integrated into virtual reality (VR) or augmented reality (AR) devices. The images in TEyeD were obtained from various tasks, including car rides, simulator rides, outdoor sports activities, and daily indoo","authors":["Fuhl, Wolfgang","Kasneci, Gjergji","Kasneci, Enkelejda"],"url":"https://arxiv.org/abs/2102.02115","arxiv_id":"2102.02115","published":"2026-01-07"},{"title":"Teeth3DS+: An Extended Benchmark for Intraoral 3D Scans Analysis","abstract":"Intraoral 3D scanning is now widely adopted in modern dentistry and plays a central role in supporting key tasks such as tooth segmentation, detection, labeling, and dental landmark identification. Accurate analysis of these scans is essential for orthodontic and restorative treatment planning, as it enables automated workflows and minimizes the need for manual intervention. However, the development of robust learnin","authors":["Ben-Hamadou, Achraf","Neifar, Nour","Rekik, Ahmed","Smaoui, Oussama","Bouzguenda, Firas","Pujades, Sergi"],"url":"https://arxiv.org/abs/2210.06094","arxiv_id":"2210.06094","published":"2026-01-07"},{"title":"Elastic Federated Learning over Open Radio Access Network (O-RAN) for Concurrent Execution of Multiple Distributed Learning Tasks","abstract":"Federated learning (FL) is a popular distributed machine learning (ML) technique in Internet of Things (IoT) networks, where resource-constrained devices collaboratively train ML models while preserving data privacy. However, implementation of FL over 5G-and-beyond wireless networks faces key challenges caused by (i) dynamics of the wireless network conditions and (ii) the coexistence of multiple FL-services in the s","authors":["Abdisarabshali, Payam","Accurso, Nicholas","Malandra, Filippo","Su, Weifeng","Hosseinalipour, Seyyedali"],"url":"https://arxiv.org/abs/2305.02109","arxiv_id":"2305.02109","published":"2026-01-07"},{"title":"Development of a high-resolution indoor radon map using a new machine learning-based probabilistic model and German radon survey data","abstract":"Accurate knowledge of indoor radon concentration is crucial for assessing radon-related health effects or identifying radon-prone areas. Indoor radon concentration at the national scale is usually estimated on the basis of extensive measurement campaigns. However, characteristics of the sampled households often differ from the characteristics of the target population owing to the large number of relevant factors that","authors":["Petermann, Eric","Bossew, Peter","Kemski, Joachim","Gruber, Valeria","Suhr, Nils","Hoffmann, Bernd"],"url":"https://arxiv.org/abs/2310.11143","arxiv_id":"2310.11143","published":"2026-01-07"},{"title":"MAST: Model-Agnostic Sparsified Training","abstract":"We introduce a novel optimization problem formulation that departs from the conventional way of minimizing machine learning model loss as a black-box function. Unlike traditional formulations, the proposed approach explicitly incorporates an initially pre-trained model and random sketch operators, allowing for sparsification of both the model and gradient during training. We establish the insightful properties of the","authors":["Demidovich, Yury","Malinovsky, Grigory","Shulgin, Egor","Richtárik, Peter"],"url":"https://arxiv.org/abs/2311.16086","arxiv_id":"2311.16086","published":"2026-01-07"},{"title":"Time-Transformer: Integrating Local and Global Features for Better Time Series Generation (Extended Version)","abstract":"Generating time series data is a promising approach to address data deficiency problems. However, it is also challenging due to the complex temporal properties of time series data, including local correlations as well as global dependencies. Most existing generative models have failed to effectively learn both the local and global properties of time series data. To address this open problem, we propose a novel time s","authors":["Liu, Yuansan","Wijewickrema, Sudanthi","Li, Ang","Bester, Christofer","O'Leary, Stephen","Bailey, James"],"url":"https://arxiv.org/abs/2312.11714","arxiv_id":"2312.11714","published":"2026-01-07"},{"title":"CSAI: Conditional Self-Attention Imputation for Healthcare Time-series","abstract":"We introduce the Conditional Self-Attention Imputation (CSAI) model, a novel recurrent neural network architecture designed to address the challenges of complex missing data patterns in multivariate time series derived from hospital electronic health records (EHRs). CSAI extends state-of-the-art neural network-based imputation by introducing key modifications specific to EHR data: a) attention-based hidden state init","authors":["Qian, Linglong","Raj, Joseph Arul","Ellis, Hugh Logan","Zhang, Ao","Zhang, Yuezhou","Wang, Tao"],"url":"https://arxiv.org/abs/2312.16713","arxiv_id":"2312.16713","published":"2026-01-07"},{"title":"A Large-Scale Analysis on the Use of Arrival Time Prediction for Automated Shuttle Services in the Real World","abstract":"Urban mobility is on the cusp of transformation with the emergence of shared, connected, and cooperative automated vehicles. Yet, for them to be accepted by customers, trust in their punctuality is vital. Many pilot initiatives operate without a fixed schedule, enhancing the importance of reliable arrival time (AT) predictions. This study presents an AT prediction system for automated shuttles, utilizing separate mod","authors":["Schmidt, Carolin","Tygesen, Mathias","Rodrigues, Filipe"],"url":"https://arxiv.org/abs/2401.05322","arxiv_id":"2401.05322","published":"2026-01-07"},{"title":"Learning mirror maps in policy mirror descent","abstract":"Policy Mirror Descent (PMD) is a popular framework in reinforcement learning, serving as a unifying perspective that encompasses numerous algorithms. These algorithms are derived through the selection of a mirror map and enjoy finite-time convergence guarantees. Despite its popularity, the exploration of PMD's full potential is limited, with the majority of research focusing on a particular mirror map -- namely, ","authors":["Alfano, Carlo","Towers, Sebastian","Sapora, Silvia","Lu, Chris","Rebeschini, Patrick"],"url":"https://arxiv.org/abs/2402.05187","arxiv_id":"2402.05187","published":"2026-01-07"},{"title":"A Method For Bounding Tail Probabilities","abstract":"We present a method for upper and lower bounding the right and the left tail probabilities of continuous random variables (RVs). For the right tail probability of RV $X$ with probability density function $f (x)$, this method requires first setting a continuous, positive, and strictly decreasing function $g (x)$ such that $-f (x)/g' (x)$ is a decreasing and increasing function, $\\forall x>x_0$, which results in","authors":["Zlatanov, Nikola"],"url":"https://arxiv.org/abs/2402.13662","arxiv_id":"2402.13662","published":"2026-01-07"},{"title":"Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions","abstract":"In this paper, we focus on the decentralized stochastic subgradient-based methods in minimizing nonsmooth nonconvex functions without Clarke regularity, especially in the decentralized training of nonsmooth neural networks. We propose a general framework that unifies various decentralized subgradient-based methods, such as decentralized stochastic subgradient descent (DSGD), DSGD with gradient-tracking technique (DSG","authors":["Zhang, Siyuan","Xiao, Nachuan","Liu, Xin"],"url":"https://arxiv.org/abs/2403.11565","arxiv_id":"2403.11565","published":"2026-01-07"},{"title":"HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion","abstract":"Data-fusion networks have shown significant promise for RGB-thermal scene parsing. However, the majority of existing studies have relied on symmetric duplex encoders for heterogeneous feature extraction and fusion, paying inadequate attention to the inherent differences between RGB and thermal modalities. Recent progress in vision foundation models (VFMs) trained through self-supervision on vast amounts of unlabeled ","authors":["Li, Jiahang","Yun, Peng","Xu, Yang","Zhang, Ye","Sun, Mingjian","Chen, Qijun"],"url":"https://arxiv.org/abs/2404.03527","arxiv_id":"2404.03527","published":"2026-01-07"},{"title":"Myopically Verifiable Probabilistic Certificates for Safe Control and Learning","abstract":"This paper addresses the design of safety certificates for stochastic systems, with a focus on ensuring long-term safety through fast real-time control. In stochastic environments, set invariance-based methods that restrict the probability of risk events in infinitesimal time intervals may exhibit significant long-term risks due to cumulative uncertainties/risks. On the other hand, reachability-based approaches that ","authors":["Wang, Zhuoyuan","Jing, Haoming","Kurniawan, Christian","Chern, Albert","Nakahira, Yorie"],"url":"https://arxiv.org/abs/2404.16883","arxiv_id":"2404.16883","published":"2026-01-07"},{"title":"Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning","abstract":"Existing SFDA methods struggle to fully use pre-trained knowledge and often rely on a single model's predictions or handcrafted prompts, limiting robustness under domain shift. Multimodal Large Language Models (MLLMs) offer a promising alternative: they encode rich visual-semantic knowledge and generalize well without task-specific tuning. However, their use in SFDA is hindered by instruction-following failures, ","authors":["Chen, Dongjie","Patwari, Kartik","Lai, Zhengfeng","Zhu, Xiaoguang","Cheung, Sen-ching","Chuah, Chen-Nee"],"url":"https://arxiv.org/abs/2405.18376","arxiv_id":"2405.18376","published":"2026-01-07"},{"title":"Topological Perspectives on Optimal Multimodal Embedding Spaces","abstract":"Recent strides in multimodal model development have ignited a paradigm shift in the realm of text-to-image generation. Among these advancements, CLIP stands out as a remarkable achievement which is a sophisticated autoencoder adept at encoding both textual and visual information within a unified latent space. This paper delves into a comparative analysis between CLIP and its recent counterpart, CLOOB. To unravel the ","authors":["B, Abdul Aziz A.","Rahim, A. B Abdul"],"url":"https://arxiv.org/abs/2405.18867","arxiv_id":"2405.18867","published":"2026-01-07"},{"title":"A Survey on Failure Analysis and Fault Injection in AI Systems","abstract":"The rapid advancement of Artificial Intelligence (AI) has led to its integration into various areas, especially with Large Language Models (LLMs) significantly enhancing capabilities in Artificial Intelligence Generated Content (AIGC). However, the complexity of AI systems has also exposed their vulnerabilities, necessitating robust methods for failure analysis (FA) and fault injection (FI) to ensure resilience and r","authors":["Yu, Guangba","Tan, Gou","Huang, Haojia","Zhang, Zhenyu","Chen, Pengfei","Natella, Roberto"],"url":"https://arxiv.org/abs/2407.00125","arxiv_id":"2407.00125","published":"2026-01-07"},{"title":"Limits to Predicting Online Speech Using Large Language Models","abstract":"Our paper studies the predictability of online speech -- that is, how well language models learn to model the distribution of user generated content on X (previously Twitter). We define predictability as a measure of the model's uncertainty, i.e. its negative log-likelihood. As the basis of our study, we collect 10M tweets for ``tweet-tuning'' base models and a further 6.25M posts from more than five thou","authors":["Remeli, Mina","Hardt, Moritz","Williamson, Robert C."],"url":"https://arxiv.org/abs/2407.12850","arxiv_id":"2407.12850","published":"2026-01-07"},{"title":"Artificial Neural Networks on Graded Vector Spaces","abstract":"This paper presents a transformative framework for artificial neural networks over graded vector spaces, tailored to model hierarchical and structured data in fields like algebraic geometry and physics. By exploiting the algebraic properties of graded vector spaces, where features carry distinct weights, we extend classical neural networks with graded neurons, layers, and activation functions that preserve structural","authors":["Shaska, Tony"],"url":"https://arxiv.org/abs/2407.19031","arxiv_id":"2407.19031","published":"2026-01-07"},{"title":"Quantum-secure multiparty deep learning","abstract":"Secure multiparty computation enables the joint evaluation of multivariate functions across distributed users while ensuring the privacy of their local inputs. This field has become increasingly urgent due to the exploding demand for computationally intensive deep learning inference. These computations are typically offloaded to cloud computing servers, leading to vulnerabilities that can compromise the security of t","authors":["Sulimany, Kfir","Vadlamani, Sri Krishna","Hamerly, Ryan","Iyengar, Prahlad","Englund, Dirk"],"url":"https://arxiv.org/abs/2408.05629","arxiv_id":"2408.05629","published":"2026-01-07"},{"title":"An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentation","abstract":"Deep learning models have achieved significant success in segmenting cardiovascular structures, but there is a growing need to improve their generalization and robustness. Current methods often face challenges such as overfitting and limited accuracy, largely due to their reliance on large annotated datasets and limited optimization techniques. This paper introduces the UU-Mamba model, an extension of the U-Mamba arc","authors":["Tsai, Ting Yu","Gui, Liangqiao","Chen, Yineng","Lin, Li","Hu, Shu","Tsao, Connie W."],"url":"https://arxiv.org/abs/2409.14305","arxiv_id":"2409.14305","published":"2026-01-07"},{"title":"Conformal Prediction for Dose-Response Models with Continuous Treatments","abstract":"Understanding the dose-response relation between a continuous treatment and the outcome for an individual can greatly drive decision-making, particularly in areas like personalized drug dosing and personalized healthcare interventions. Point estimates are often insufficient in these high-risk environments, highlighting the need for uncertainty quantification to support informed decisions. Conformal prediction, a dist","authors":["Verhaeghe, Jarne","Jonkers, Jef","Van Hoecke, Sofie"],"url":"https://arxiv.org/abs/2409.20412","arxiv_id":"2409.20412","published":"2026-01-07"},{"title":"Large Language Models can Achieve Social Balance","abstract":"Large Language Models (LLMs) can be deployed in situations where they process positive/negative interactions with other agents. We study how this is done under the sociological framework of social balance, which explains the emergence of one faction or multiple antagonistic ones among agents. Across different LLM models, we find that balance depends on the (i) type of interaction, (ii) update mechanism, and (iii) pop","authors":["Cisneros-Velarde, Pedro"],"url":"https://arxiv.org/abs/2410.04054","arxiv_id":"2410.04054","published":"2026-01-07"},{"title":"How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models","abstract":"Text-to-image models are trained using large datasets of image-text pairs collected from the internet. These datasets often include copyrighted and private images. Training models on such datasets enables them to generate images that might violate copyright laws and individual privacy. This phenomenon is termed imitation -- generation of images with content that has recognizable similarity to its training images. In ","authors":["Verma, Sahil","Rassin, Royi","Das, Arnav","Bhatt, Gantavya","Seshadri, Preethi","Shah, Chirag"],"url":"https://arxiv.org/abs/2410.15002","arxiv_id":"2410.15002","published":"2026-01-07"},{"title":"Communication Compression for Tensor Parallel LLM Inference","abstract":"Large Language Models (LLMs) have pushed the frontier of artificial intelligence but are comprised of hundreds of billions of parameters and operations. For faster inference latency, LLMs are deployed on multiple hardware accelerators through various Model Parallelism strategies. Our paper looks into the details on one such strategy - Tensor Parallel - and proposes to reduce latency by compressing inter-accelerator c","authors":["Hansen-Palmus, Jan","Le, Michael Truong","Hausdörfer, Oliver","Verma, Alok"],"url":"https://arxiv.org/abs/2411.09510","arxiv_id":"2411.09510","published":"2026-01-07"}],"history":{"events":[{"year":2020,"text":"After 253 days without an operational government, a second round of investiture votes produced Spain's first coalition government since the Second Republic.","url":"https://en.wikipedia.org/wiki/2019%E2%80%932020_Spanish_government_formation"},{"year":2012,"text":"A hot air balloon flight from Carterton, New Zealand, collided with a power line while landing, causing it to crash and killing all eleven people on board.","url":"https://en.wikipedia.org/wiki/Hot_air_balloon"},{"year":2010,"text":"In Nag Hammadi, Egypt, Muslim gunmen opened fire on a crowd of Coptic Christians leaving church after attending Christmas Liturgy, killing eight of them, as well as one Muslim bystander.","url":"https://en.wikipedia.org/wiki/Nag_Hammadi"},{"year":1993,"text":"The Fourth Republic of Ghana was inaugurated with Jerry Rawlings, the country's former military ruler, as president.","url":"https://en.wikipedia.org/wiki/History_of_Ghana"},{"year":1989,"text":"Representatives of Iranian leader Ruhollah Khomeini delivered a letter to Mikhail Gorbachev, inviting him to consider Islam as an alternative to communism, and predicting the dissolution of the Soviet Bloc.","url":"https://en.wikipedia.org/wiki/Ruhollah_Khomeini"},{"year":1989,"text":"In one of the most famous upsets in FA Cup history, Sutton United, a team in the fifth tier of English league football, defeated top-tier Coventry City.","url":"https://en.wikipedia.org/wiki/FA_Cup"},{"year":1979,"text":"The People's Army of Vietnam captured Phnom Penh, marking the end of large-scale fighting in the Cambodian–Vietnamese War.","url":"https://en.wikipedia.org/wiki/People's_Army_of_Vietnam"},{"year":1978,"text":"An article entitled \"Iran and Red and Black Colonization\" was published in the newspaper Ettela'at attacking Ruhollah Khomeini, then in exile in Iraq.","url":"https://en.wikipedia.org/wiki/Iran_and_Red_and_Black_Colonization"},{"year":1955,"text":"Marian Anderson became the first African-American to perform with the Metropolitan Opera in New York.","url":"https://en.wikipedia.org/wiki/Marian_Anderson"},{"year":1948,"text":"Air National Guard pilot Thomas Mantell, flying in pursuit of an alleged UFO, was killed when his P-51 Mustang crashed near Fort Knox, Kentucky.","url":"https://en.wikipedia.org/wiki/Kentucky_Air_National_Guard"},{"year":1939,"text":"French physicist Marguerite Perey identified francium, the last element to be discovered in nature rather than by synthesis.","url":"https://en.wikipedia.org/wiki/Marguerite_Perey"},{"year":1931,"text":"Australian aviator Guy Menzies (pictured) flew from Sydney to New Zealand's West Coast, making the first solo trans-Tasman flight.","url":"https://en.wikipedia.org/wiki/Guy_Menzies"},{"year":1904,"text":"The Marconi International Marine Communication Company specified CQD (audio featured) as the distress signal to be used by its operators.","url":"https://en.wikipedia.org/wiki/Marconi_Company"},{"year":1797,"text":"The Italian tricolour was first adopted as an official flag by the government of the Cispadane Republic.","url":"https://en.wikipedia.org/wiki/Flag_of_Italy"},{"year":1782,"text":"The Bank of North America (pictured) opened in Philadelphia as the de facto first central bank of the United States.","url":"https://en.wikipedia.org/wiki/Bank_of_North_America"},{"year":1610,"text":"Through his telescope, Italian astronomer Galileo Galilei made the first observation of Jupiter's Galilean moons: Io, Europa, Ganymede and Callisto, although he was not able to distinguish the first two until the following night.","url":"https://en.wikipedia.org/wiki/Galileo_Galilei"},{"year":1327,"text":"The Parliament of 1327, which was instrumental in the transfer of the English Crown from King Edward II to his son, Edward III, began at the Palace of Westminster.","url":"https://en.wikipedia.org/wiki/Parliament_of_1327"}],"births":[{"year":2012,"text":"Blue Ivy Carter, American singer and actress","url":"https://en.wikipedia.org/wiki/Blue_Ivy_Carter"},{"year":2007,"text":"Chloe Chua, Singaporean violinist, 2018 joint 1st prize winner of the Yehudi Menuhin International Competition for Young Violinists","url":"https://en.wikipedia.org/wiki/Chloe_Chua"},{"year":2003,"text":"Ryan Dunn, American basketball player","url":"https://en.wikipedia.org/wiki/Ryan_Dunn_(basketball)"},{"year":2000,"text":"Marcus Scribner, American actor","url":"https://en.wikipedia.org/wiki/Marcus_Scribner"},{"year":1997,"text":"Ozzie Albies, Curaçaoan baseball player","url":"https://en.wikipedia.org/wiki/Ozzie_Albies"},{"year":1997,"text":"Lamar Jackson, American football player","url":"https://en.wikipedia.org/wiki/Lamar_Jackson"},{"year":1996,"text":"Alex Nedeljkovic, American ice hockey player","url":"https://en.wikipedia.org/wiki/Alex_Nedeljkovic"},{"year":1995,"text":"Jordan Bell, American basketball player","url":"https://en.wikipedia.org/wiki/Jordan_Bell"}],"deaths":[{"year":2026,"text":"Glenn Hall, Canadian ice hockey goaltender (born 1931)","url":"https://en.wikipedia.org/wiki/Glenn_Hall"},{"year":2025,"text":"Jean-Marie Le Pen, French intelligence officer and politician (born 1928)","url":"https://en.wikipedia.org/wiki/Jean-Marie_Le_Pen"},{"year":2025,"text":"Peter Yarrow, American singer-songwriter, guitarist, and producer (born 1938)","url":"https://en.wikipedia.org/wiki/Peter_Yarrow"},{"year":2024,"text":"Franz Beckenbauer, German footballer and manager (born 1945)","url":"https://en.wikipedia.org/wiki/Franz_Beckenbauer"},{"year":2021,"text":"Michael Apted, English filmmaker (born 1941)","url":"https://en.wikipedia.org/wiki/Michael_Apted"},{"year":2021,"text":"Tommy Lasorda, American baseball player, coach, and manager (born 1927)","url":"https://en.wikipedia.org/wiki/Tommy_Lasorda"},{"year":2021,"text":"Henri Schwery, Swiss cardinal (born 1932)","url":"https://en.wikipedia.org/wiki/Henri_Schwery"},{"year":2020,"text":"Neil Peart, Canadian drummer, songwriter, and producer (born 1952)","url":"https://en.wikipedia.org/wiki/Neil_Peart"}]},"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."}