{"date":"2026-04-22","schema_version":1,"captured_at":"2026-08-25T23:37:49.866Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Nahui Ollin","views":909531,"rank":3,"extract":"Nahui Ollin is a 16th-century concept in Aztec/Mexica cosmology with a variety of meanings. Nahui translates to \"four,\" and Ollin translates to \"movement\" or \"motion.\" Ollin was primarily portrayed in Aztec codices as two interlaced lines, each portrayed with ","url":"https://en.wikipedia.org/wiki/Nahui_Ollin","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/14/Nahui_Ollin_Codex_Borbonicus_hieroglyph.jpg/330px-Nahui_Ollin_Codex_Borbonicus_hieroglyph.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"John Ternus","views":413418,"rank":4,"extract":"John Ternus is an American engineer and business executive who has been the senior vice president of hardware engineering at Apple Inc. since 2021. 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He was best known for his roles as Austin Reed on Days of Our Lives and Zander Barcalow on Starship Troopers.","url":"https://en.wikipedia.org/wiki/Patrick_Muldoon","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/2/24/Patrick_Muldoon_%288735990280%29.jpg/330px-Patrick_Muldoon_%288735990280%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Patti Davis","views":178454,"rank":7,"extract":"Patricia Ann Davis is an American actress and author. She is the daughter of U.S. president Ronald Reagan and his second wife, Nancy Reagan.","url":"https://en.wikipedia.org/wiki/Patti_Davis","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/11/Patti_Davis_1983.jpg/330px-Patti_Davis_1983.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"D4vd","views":164758,"rank":8,"extract":"David Anthony Burke, known professionally as D4vd, is an American singer-songwriter. 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Why not sub?","points":231,"comments":216,"url":"https://devblogs.microsoft.com/oldnewthing/20260421-00/?p=112247","discussion":"https://news.ycombinator.com/item?id=47859861"}],"research":[{"title":"Modelling and Analysing Behaviours and Emotions via Complex User Interactions","abstract":"Over the past 15 years, the volume, richness and quality of data collected from the combined social networking platforms has increased beyond all expectation, providing researchers from a variety of disciplines to use it in their research. Perhaps more impactfully, it has provided the foundation for a range of new products and services, transforming industries such as advertising and marketing, as well as bringing th","authors":["Mostafa, Mohamed"],"url":"https://arxiv.org/abs/1902.07683","arxiv_id":"1902.07683","published":"2026-04-22"},{"title":"Data Leakage Detection and De-duplication in Large Scale Geospatial Image Datasets","abstract":"In our study, we conducted a comprehensive analysis of three widely used datasets in the domain of building footprint extraction using deep neural networks: the INRIA Aerial Image Labelling dataset, SpaceNet 2: Building Detection v2, and the AICrowd Mapping Challenge datasets. Our experiments revealed several issues in the AICrowd Mapping Challenge dataset, where nearly 90% (about 250k) of the training split images h","authors":["Adimoolam, Yeshwanth Kumar","Poullis, Charalambos","Averkiou, Melinos"],"url":"https://arxiv.org/abs/2304.02296","arxiv_id":"2304.02296","published":"2026-04-22"},{"title":"Interpolation of mountain weather forecasts by machine learning","abstract":"Recent advances in numerical simulation methods based on physical models and their combination with machine learning have improved the accuracy of weather forecasts. However, the accuracy decreases in complex terrains such as mountainous regions because these methods usually use grids of several kilometers square and simple machine learning models. While deep learning has also made significant progress in recent year","authors":["Iwase, Kazuma","Takenawa, Tomoyuki"],"url":"https://arxiv.org/abs/2308.13983","arxiv_id":"2308.13983","published":"2026-04-22"},{"title":"Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts","abstract":"In this paper, we study whether language models are affected by learned gender stereotypes during the comprehension of stories. Specifically, we investigate how models respond to gender stereotype perturbations through counterfactual data augmentation. Focusing on Question Answering (QA) tasks in fairytales, we modify the FairytaleQA dataset by swapping gendered character information and introducing counterfactual ge","authors":["Chance, Christina","Yin, Da","Wang, Dakuo","Chang, Kai-Wei"],"url":"https://arxiv.org/abs/2310.10865","arxiv_id":"2310.10865","published":"2026-04-22"},{"title":""You tell me": A Dataset of GPT-4-Based Behaviour Change Support Conversations","abstract":"Conversational agents are increasingly used to address emotional needs on top of information needs. One use case of increasing interest are counselling-style mental health and behaviour change interventions, with large language model (LLM)-based approaches becoming more popular. Research in this context so far has been largely system-focused, foregoing the aspect of user behaviour and the impact this can have on LLM-","authors":["Meyer, Selina","Elsweiler, David"],"url":"https://arxiv.org/abs/2401.16167","arxiv_id":"2401.16167","published":"2026-04-22"},{"title":"Whispers in the Machine: Confidentiality in Agentic Systems","abstract":"Large language model (LLM)-based agents combine LLMs with external tools to automate tasks such as scheduling meetings, managing documents, or booking travel. While these integrations unlock powerful capabilities, they also create new and more severe attack surfaces. In particular, prompt injection attacks become far more dangerous in the agentic setting: malicious instructions embedded in connected services can misd","authors":["Evertz, Jonathan","Chlosta, Merlin","Schönherr, Lea","Eisenhofer, Thorsten"],"url":"https://arxiv.org/abs/2402.06922","arxiv_id":"2402.06922","published":"2026-04-22"},{"title":"Unifying Controller Design for Stabilizing Nonlinear Systems with Norm-Bounded Control Inputs","abstract":"This paper revisits a classical challenge in the design of stabilizing controllers for nonlinear systems with a norm-bounded input constraint. By extending Lin-Sontag's universal formula and introducing a generic (state-dependent) scaling term, a unifying controller design method is proposed. The incorporation of this generic scaling term gives a unified controller and enables the derivation of alternative univer","authors":["Li, Ming","Sun, Zhiyong","Weiland, Siep"],"url":"https://arxiv.org/abs/2403.03030","arxiv_id":"2403.03030","published":"2026-04-22"},{"title":"Personalized Embodied Navigation for Portable Object Finding","abstract":"Embodied navigation methods commonly operate in static environments with stationary objects. In this work, we present approaches for tackling navigation in dynamic scenarios with non-stationary targets. In an indoor environment, we assume that these objects are everyday portable items moved by human intervention. We therefore formalize the problem as a personalized habit learning problem. To learn these habits, we in","authors":["Dorbala, Vishnu Sashank","Patel, Bhrij","Bedi, Amrit Singh","Manocha, Dinesh"],"url":"https://arxiv.org/abs/2403.09905","arxiv_id":"2403.09905","published":"2026-04-22"},{"title":"Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI","abstract":"This report investigates the history and impact of Generative Models and Connected and Automated Vehicles (CAVs), two groundbreaking forces pushing progress in technology and transportation. By focusing on the application of generative models within the context of CAVs, the study aims to unravel how this integration could enhance predictive modeling, simulation accuracy, and decision-making processes in autonomous ve","authors":["Shu, Bo","Zhang, Yiting","Hu, Saisai","Shu, Dong"],"url":"https://arxiv.org/abs/2403.10559","arxiv_id":"2403.10559","published":"2026-04-22"},{"title":"Finite-dimensional approximations of push-forwards on locally analytic functionals","abstract":"This paper develops a functional-analytic framework for approximating the push-forward induced by an analytic map from finitely many samples. Instead of working directly with the map, we study the push-forward on the space of locally analytic functionals and identify it, via the Fourier--Borel transform, with an operator on the space of entire functions of exponential type. This yields finite-dimensional approximatio","authors":["Ishikawa, Isao"],"url":"https://arxiv.org/abs/2404.10769","arxiv_id":"2404.10769","published":"2026-04-22"},{"title":"A Generalist Model for Diverse Text-Guided Medical Image Synthesis","abstract":"Deep learning algorithms require extensive data to achieve robust performance. However, data availability is often restricted in the medical domain due to patient privacy concerns. Synthetic data presents a possible solution to these challenges. Image generative models have found increasing use for medical applications, but are often task-specific, thus limiting their scalability. Moreover, existing models frequently","authors":["Cho, Joseph","Mathur, Mrudang","Zakka, Cyril","Kaur, Dhamanpreet","Leipzig, Matthew","Dalal, Alex"],"url":"https://arxiv.org/abs/2405.09806","arxiv_id":"2405.09806","published":"2026-04-22"},{"title":"A Novel Method for News Article Event-Based Embedding","abstract":"Embedding news articles is a crucial tool for multiple fields, such as media bias detection, identifying fake news, and making news recommendations. However, existing news embedding methods are not optimized to capture the latent context of news events. Most embedding methods rely on full-text information and neglect time-relevant embedding generation. In this paper, we propose a novel lightweight method that optimiz","authors":["Ishlach, Koren","Ben-David, Itzhak","Fire, Michael","Rokach, Lior"],"url":"https://arxiv.org/abs/2405.13071","arxiv_id":"2405.13071","published":"2026-04-22"},{"title":"Smart Bilingual Focused Crawling of Parallel Documents","abstract":"Crawling parallel texts -- texts that are mutual translations -- from the Internet is usually done following a brute-force approach: documents are massively downloaded in an unguided process, and only a fraction of them end up leading to actual parallel content. In this work we propose a smart crawling method that guides the crawl towards finding parallel content more rapidly. We follow a neural approach that consist","authors":["García-Romero, Cristian","Esplà-Gomis, Miquel","Sánchez-Martínez, Felipe"],"url":"https://arxiv.org/abs/2405.14779","arxiv_id":"2405.14779","published":"2026-04-22"},{"title":"DASB - Discrete Audio and Speech Benchmark","abstract":"Discrete audio tokens have recently gained considerable attention for their potential to bridge audio and language processing, enabling multimodal language models that can both generate and understand audio. However, preserving key information such as phonetic content, speaker identity, and paralinguistic cues remains a major challenge. Identifying the optimal tokenizer and configuration is further complicated by inc","authors":["Mousavi, Pooneh","Duret, Jarod","Petermann, Darius","Ploujnikov, Artem","Della Libera, Luca","Kuznetsova, Anastasia"],"url":"https://arxiv.org/abs/2406.14294","arxiv_id":"2406.14294","published":"2026-04-22"},{"title":"AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space","abstract":"We study the intriguing connection between visual data, deep networks, and the brain. Our method creates a universal channel alignment by using brain voxel fMRI response prediction as the training objective. We discover that deep networks, trained with different objectives, share common feature channels across various models. These channels can be clustered into recurring sets, corresponding to distinct brain regions","authors":["Yang, Huzheng","Gee, James","Shi, Jianbo"],"url":"https://arxiv.org/abs/2406.18344","arxiv_id":"2406.18344","published":"2026-04-22"},{"title":"Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation","abstract":"Executing flow estimation using Deep Learning (DL)-based soft sensors on resource-limited IoT devices has demonstrated promise in terms of reliability and energy efficiency. However, its application in the field of wastewater flow estimation remains underexplored due to: (1) a lack of available datasets, (2) inconvenient toolchains for on-device AI model development and deployment, and (3) hardware platforms designed","authors":["Ling, Tianheng","Qian, Chao","Schiele, Gregor"],"url":"https://arxiv.org/abs/2407.05102","arxiv_id":"2407.05102","published":"2026-04-22"},{"title":"Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT","abstract":"This paper presents the design of a hardware accelerator for Transformers, optimized for on-device time-series forecasting in AIoT systems. It integrates integer-only quantization and Quantization-Aware Training with optimized hardware designs to realize 6-bit and 4-bit quantized Transformer models, which achieved precision comparable to 8-bit quantized models from related research. Utilizing a complete implementatio","authors":["Ling, Tianheng","Qian, Chao","Schiele, Gregor"],"url":"https://arxiv.org/abs/2407.11041","arxiv_id":"2407.11041","published":"2026-04-22"},{"title":"Latent Linear Quadratic Regulator for Robotic Control Tasks","abstract":"Model predictive control (MPC) has played a more crucial role in various robotic control tasks, but its high computational requirements are concerning, especially for nonlinear dynamical models. This paper presents a $\\textbf{la}$tent $\\textbf{l}$inear $\\textbf{q}$uadratic $\\textbf{r}$egulator (LaLQR) that maps the state space into a latent space, on which the dynamical model is linear and the cost function is quadra","authors":["Zhang, Yuan","Yang, Shaohui","Ohtsuka, Toshiyuki","Jones, Colin","Boedecker, Joschka"],"url":"https://arxiv.org/abs/2407.11107","arxiv_id":"2407.11107","published":"2026-04-22"},{"title":"Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity","abstract":"In the rapidly evolving Internet of Things (IoT) domain, we concentrate on enhancing energy efficiency in Deep Learning accelerators on FPGA-based heterogeneous platforms, aligning with the principles of sustainable computing. Instead of focusing on the inference phase, we introduce innovative optimizations to minimize the overhead of the FPGA configuration phase. By fine-tuning configuration parameters correctly, we","authors":["Qian, Chao","Cichiwskyj, Christopher","Ling, Tianheng","Schiele, Gregor"],"url":"https://arxiv.org/abs/2407.12027","arxiv_id":"2407.12027","published":"2026-04-22"},{"title":"Byzantine-tolerant distributed learning of finite mixture models","abstract":"Traditional statistical methods need to be updated to work with modern distributed data storage paradigms. A common approach is the split-and-conquer framework, which involves learning models on local machines and averaging their parameter estimates. However, this does not work for the important problem of learning finite mixture models, because subpopulation indices on each local machine may be arbitrarily permuted ","authors":["Zhang, Qiong","Tan, Yan Shuo","Chen, Jiahua"],"url":"https://arxiv.org/abs/2407.13980","arxiv_id":"2407.13980","published":"2026-04-22"},{"title":"Effects of Collaboration on the Performance of Interactive Theme Discovery Systems","abstract":"NLP-assisted solutions to support qualitative data analysis have gained considerable traction. However, no unified evaluation framework exists which can account for the many different settings in which qualitative researchers may employ them. In this paper, we propose a framework to evaluate the way collaboration settings may produce different research outcomes across a variety of interactive systems. Specifically, w","authors":["Chen, Alvin Po-Chun","Das, Rohan","Srinivas, Dananjay","Barry, Alexandra","Seniw, Maksim","Pacheco, Maria Leonor"],"url":"https://arxiv.org/abs/2408.09030","arxiv_id":"2408.09030","published":"2026-04-22"},{"title":"Regression with Large Language Models for Materials and Molecular Property Prediction","abstract":"We demonstrate the ability of large language models (LLMs) to perform material and molecular property regression tasks, a significant deviation from the conventional LLM use case. We benchmark the Large Language Model Meta AI (LLaMA) 3 on several molecular properties in the QM9 dataset and 28 materials properties. Only composition-based input strings are used as the model input and we fine tune on only the generative","authors":["Jacobs, Ryan","Polak, Maciej P.","Schultz, Lane E.","Mahdavi, Hamed","Honavar, Vasant","Morgan, Dane"],"url":"https://arxiv.org/abs/2409.06080","arxiv_id":"2409.06080","published":"2026-04-22"},{"title":"On the Generalizability of Foundation Models for Crop Type Mapping","abstract":"Foundation models pre-trained using self-supervised learning have shown powerful transfer learning capabilities on various downstream tasks, including language understanding, text generation, and image recognition. The Earth observation (EO) field has produced several foundation models pre-trained directly on multispectral satellite imagery for applications like precision agriculture, wildfire and drought monitoring,","authors":["Chang, Yi-Chia","Stewart, Adam J.","Bastani, Favyen","Wolters, Piper","Kannan, Shreya","Huber, George R."],"url":"https://arxiv.org/abs/2409.09451","arxiv_id":"2409.09451","published":"2026-04-22"},{"title":"Who Benefits from AI? Self-Selection, Skill Gap, and the Hidden Costs of AI Feedback","abstract":"Feedback from artificial intelligence (AI) is increasingly easy to access and research has already established that people learn from it. But individuals choose when and how to seek such feedback, and more engaged and motivated individuals may seek it more, creating an illusion of effectiveness that masks self-selection. We investigate how the endogenous choice to seek AI feedback shapes both individual learning and ","authors":["Riedl, Christoph","Bogert, Eric"],"url":"https://arxiv.org/abs/2409.18660","arxiv_id":"2409.18660","published":"2026-04-22"},{"title":"Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs","abstract":"This study addresses the deployment challenges of integer-only quantized Transformers on resource-constrained embedded FPGAs (Xilinx Spartan-7 XC7S15). We enhanced the flexibility of our VHDL template by introducing a selectable resource type for storing intermediate results across model layers, thereby breaking the deployment bottleneck by utilizing BRAM efficiently. Moreover, we developed a resource-aware mixed-pre","authors":["Ling, Tianheng","Qian, Chao","Schiele, Gregor"],"url":"https://arxiv.org/abs/2410.03294","arxiv_id":"2410.03294","published":"2026-04-22"}],"history":{"events":[{"year":2022,"text":"American climate activist Wynn Bruce set himself on fire outside the United States Supreme Court Building in an apparent protest against the climate crisis.","url":"https://en.wikipedia.org/wiki/Self-immolation_of_Wynn_Bruce"},{"year":2020,"text":"A truck struck and killed four Victoria Police officers on the Eastern Freeway, Australia, the force's deadliest single incident.","url":"https://en.wikipedia.org/wiki/2020_Eastern_Freeway_truck_crash"},{"year":2016,"text":"The Paris Agreement, an international treaty on climate change, opened for signature and was signed by 175 parties.","url":"https://en.wikipedia.org/wiki/Paris_Agreement"},{"year":2013,"text":"The Royal Canadian Mounted Police arrested two men who were plotting to commit terrorist attacks against Via Rail operations.","url":"https://en.wikipedia.org/wiki/Royal_Canadian_Mounted_Police"},{"year":2004,"text":"Flammable cargo exploded at a railway station in Ryongchon, North Korea, killing at least 54 people and injuring more than a thousand others.","url":"https://en.wikipedia.org/wiki/Ryongchon_disaster"},{"year":2000,"text":"In a pre-dawn raid, U.S. federal agents seized six-year-old Elián González from his relatives' home in Miami and returned him to his Cuban father.","url":"https://en.wikipedia.org/wiki/Eli%C3%A1n_Gonz%C3%A1lez"},{"year":1993,"text":"Stephen Lawrence, a black British teenager, was murdered while waiting for a bus in Eltham, London, leading to cultural changes of attitudes on racism and the police, and to the law and police practice.","url":"https://en.wikipedia.org/wiki/Black_British_people"},{"year":1951,"text":"Korean War: The Chinese People's Volunteer Army attacked positions occupied mainly by Australian and Canadian forces, starting the Battle of Kapyong.","url":"https://en.wikipedia.org/wiki/Korean_War"},{"year":1948,"text":"Civil War in Mandatory Palestine: The Jewish paramilitary group Haganah captured Haifa from the Arab Liberation Army.","url":"https://en.wikipedia.org/wiki/1947%E2%80%931948_civil_war_in_Mandatory_Palestine"},{"year":1945,"text":"About 600 prisoners of the Jasenovac concentration camp in the Independent State of Croatia revolted, but only 80 managed to escape while the remainder were killed by the Ustaše regime.","url":"https://en.wikipedia.org/wiki/Jasenovac_concentration_camp"},{"year":1918,"text":"The short-lived Transcaucasian Democratic Federative Republic was established on territory formerly part of the Russian Empire.","url":"https://en.wikipedia.org/wiki/Transcaucasian_Democratic_Federative_Republic"},{"year":1885,"text":"The first meeting of the Colonial Defence Committee, a standing committee of the British Colonial Office, was held to discuss the defence of Barbados.","url":"https://en.wikipedia.org/wiki/Colonial_Defence_Committee"},{"year":1864,"text":"U.S. Congress passed the Coinage Act, which authorized the minting of the two-cent piece (pictured), the first U.S. coin to bear the phrase \"In God We Trust\".","url":"https://en.wikipedia.org/wiki/Coinage_Act_of_1864"},{"year":1622,"text":"Anglo-Persian forces combined to capture the Portuguese garrison at Hormuz Island in the Persian Gulf.","url":"https://en.wikipedia.org/wiki/Anglo-Persian_capture_of_Hormuz"},{"year":1500,"text":"A fleet commanded by Pedro Álvares Cabral (pictured) anchored off present-day Brazil; he later claimed the land for the Portuguese Empire.","url":"https://en.wikipedia.org/wiki/Pedro_%C3%81lvares_Cabral"},{"year":1073,"text":"Gregory VII was elected pope following the death of Alexander II.","url":"https://en.wikipedia.org/wiki/Pope_Gregory_VII"}],"births":[{"year":2011,"text":"Violet McGraw, American actress","url":"https://en.wikipedia.org/wiki/Violet_McGraw"},{"year":1997,"text":"Grant Fisher, American runner","url":"https://en.wikipedia.org/wiki/Grant_Fisher"},{"year":1994,"text":"Chandler Stephenson, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Chandler_Stephenson"},{"year":1992,"text":"Adam Lanza, American mass murderer (died 2012)","url":"https://en.wikipedia.org/wiki/Adam_Lanza"},{"year":1991,"text":"Danni Wyatt, English cricketer","url":"https://en.wikipedia.org/wiki/Danni_Wyatt-Hodge"},{"year":1990,"text":"Machine Gun Kelly, American rapper, singer, songwriter, actor","url":"https://en.wikipedia.org/wiki/MGK"},{"year":1990,"text":"Kevin Kiermaier, American baseball player","url":"https://en.wikipedia.org/wiki/Kevin_Kiermaier"},{"year":1990,"text":"Eve Muirhead, Scottish curler","url":"https://en.wikipedia.org/wiki/Eve_Muirhead"}],"deaths":[{"year":2023,"text":"Len Goodman, English ballroom dancer and television personality (born 1944)","url":"https://en.wikipedia.org/wiki/Len_Goodman"},{"year":2022,"text":"Guy Lafleur, Canadian ice hockey player (born 1951)","url":"https://en.wikipedia.org/wiki/Guy_Lafleur"},{"year":2021,"text":"Adrian Garrett, American professional baseball player (born 1943)","url":"https://en.wikipedia.org/wiki/Adrian_Garrett"},{"year":2020,"text":"Shirley Knight, American actress (born 1936)","url":"https://en.wikipedia.org/wiki/Shirley_Knight"},{"year":2017,"text":"Donna Leanne Williams, Australian writer, artist, and activist (born 1963)","url":"https://en.wikipedia.org/wiki/Donna_Williams"},{"year":2015,"text":"Dick Balharry, Scottish environmentalist and photographer (born 1937)","url":"https://en.wikipedia.org/wiki/Dick_Balharry"},{"year":2014,"text":"Oswaldo Vigas, Venezuelan painter (born 1926)","url":"https://en.wikipedia.org/wiki/Oswaldo_Vigas"},{"year":2013,"text":"Richie Havens, American singer-songwriter and guitarist (born 1941)","url":"https://en.wikipedia.org/wiki/Richie_Havens"}]},"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."}