{"date":"2026-05-14","schema_version":1,"captured_at":"2026-08-25T23:08:31.131Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Brandon Clarke","views":328132,"rank":3,"extract":"Brandon Clarke was a Canadian–American professional basketball player who served as a power forward for the Memphis Grizzlies of the National Basketball Association (NBA). He played college basketball for the San Jose State Spartans and the Gonzaga Bulldogs. 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Drought","points":254,"comments":178,"url":"https://www.agweb.com/news/usda-projects-smallest-us-wheat-harvest-1972-due-plains-drought","discussion":"https://news.ycombinator.com/item?id=48134993"},{"title":"Colossus: The Forbin Project","points":254,"comments":98,"url":"https://en.wikipedia.org/wiki/Colossus:_The_Forbin_Project","discussion":"https://news.ycombinator.com/item?id=48142115"},{"title":"More than sixty percent of the United States is experiencing drought conditions","points":253,"comments":99,"url":"https://news.vt.edu/articles/2026/05/drought-united-states-la-nina-expert.html","discussion":"https://news.ycombinator.com/item?id=48142193"},{"title":"A Claude Code and Codex Skill for Deliberate Skill Development","points":253,"comments":50,"url":"https://github.com/DrCatHicks/learning-opportunities","discussion":"https://news.ycombinator.com/item?id=48130679"},{"title":"HDD Firmware Hacking","points":240,"comments":46,"url":"https://icode4.coffee/?p=1465","discussion":"https://news.ycombinator.com/item?id=48137553"},{"title":"The bird eye was pushed to an evolutionary extreme","points":238,"comments":92,"url":"https://www.quantamagazine.org/how-the-bird-eye-was-pushed-to-an-evolutionary-extreme-20260513/","discussion":"https://news.ycombinator.com/item?id=48132106"},{"title":"Hindenburg’s Smoking Room","points":230,"comments":210,"url":"https://www.airships.net/hindenburg-smoking-room/","discussion":"https://news.ycombinator.com/item?id=48140556"},{"title":"Claude for Legal","points":225,"comments":193,"url":"https://github.com/anthropics/claude-for-legal","discussion":"https://news.ycombinator.com/item?id=48141234"}],"research":[{"title":"ReAct! An Interactive Tool for Hybrid Planning in Robotics","abstract":"We present ReAct!, an interactive tool for high-level reasoning for cognitive robotic applications. ReAct! enables robotic researchers to describe robots' actions and change in dynamic domains, without having to know about the syntactic and semantic details of the underlying formalism in advance, and solve planning problems using state-of-the-art automated reasoners, without having to learn about their input/outp","authors":["Dogmus, Zeynep","Erdem, Esra","Patoglu, Volkan"],"url":"https://arxiv.org/abs/1307.7494","arxiv_id":"1307.7494","published":"2026-05-14"},{"title":"Training VAEs Under Structured Residuals","abstract":"Variational auto-encoders (VAEs) are a popular and powerful deep generative model. Previous works on VAEs have assumed a factorized likelihood model, whereby the output uncertainty of each pixel is assumed to be independent. This approximation is clearly limited as demonstrated by observing a residual image from a VAE reconstruction, which often possess a high level of structure. This paper demonstrates a novel schem","authors":["Dorta, Gara","Vicente, Sara","Agapito, Lourdes","Campbell, Neill D. F.","Simpson, Ivor"],"url":"https://arxiv.org/abs/1804.01050","arxiv_id":"1804.01050","published":"2026-05-14"},{"title":"Physics-driven Fire Modeling from Multi-view Images","abstract":"Fire effects are widely used in various computer graphics applications such as visual effects and video games. Modeling the shape and appearance of fire phenomenon is challenging as the underlying effects are driven by complex laws of physics. State-of-the-art fire modeling techniques rely on sophisticated physical simulations which require intensive parameter tuning, or use simplifications which produce physically i","authors":["Dorta, Gara","Benedetti, Luca","Kit, Dmitry","Yang, Yong-Liang"],"url":"https://arxiv.org/abs/1804.05261","arxiv_id":"1804.05261","published":"2026-05-14"},{"title":"The GAN that Warped: Semantic Attribute Editing with Unpaired Data","abstract":"Deep neural networks have recently been used to edit images with great success, in particular for faces. However, they are often limited to only being able to work at a restricted range of resolutions. Many methods are so flexible that face edits can often result in an unwanted loss of identity. This work proposes to learn how to perform semantic image edits through the application of smooth warp fields. Previous app","authors":["Dorta, Gara","Vicente, Sara","Campbell, Neill D. F.","Simpson, Ivor J. A."],"url":"https://arxiv.org/abs/1811.12784","arxiv_id":"1811.12784","published":"2026-05-14"},{"title":"A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach","abstract":"We study robot construction problems where multiple autonomous robots rearrange stacks of prefabricated blocks to build stable structures. These problems are challenging due to ramifications of actions, true concurrency, and requirements of supportedness of blocks by other blocks and stability of the structure at all times. We propose a formal hybrid planning framework to solve a wide range of robot construction prob","authors":["Ahmad, Faseeh","Erdem, Esra","Patoglu, Volkan"],"url":"https://arxiv.org/abs/1903.00745","arxiv_id":"1903.00745","published":"2026-05-14"},{"title":"Image Aesthetics Assessment using Multi Channel Convolutional Neural Networks","abstract":"Image Aesthetics Assessment is one of the emerging domains in research. The domain deals with classification of images into categories depending on the basis of how pleasant they are for the users to watch. In this article, the focus is on categorizing the images in high quality and low quality image. Deep convolutional neural networks are used to classify the images. Instead of using just the raw image as input, dif","authors":["Doshi, Nishi","Shikhenawis, Gitam","Mitra, Suman K"],"url":"https://arxiv.org/abs/1911.09301","arxiv_id":"1911.09301","published":"2026-05-14"},{"title":"Human Robot Collaborative Assembly Planning: An Answer Set Programming Approach","abstract":"For planning an assembly of a product from a given set of parts, robots necessitate certain cognitive skills: high-level planning is needed to decide the order of actuation actions, while geometric reasoning is needed to check the feasibility of these actions. For collaborative assembly tasks with humans, robots require further cognitive capabilities, such as commonsense reasoning, sensing, and communication skills, ","authors":["Rizwan, Momina","Patoglu, Volkan","Erdem, Esra"],"url":"https://arxiv.org/abs/2008.03496","arxiv_id":"2008.03496","published":"2026-05-14"},{"title":"Multi-Modal World Model for Physical Robot Interactions: Simultaneous Visual and Tactile Predictions for Enhanced Accuracy","abstract":"Predicting the outcomes of robotic actions, often referred to as learning a world model, in complex environments remains a fundamental challenge in robotics. Existing approaches primarily rely on visual observations and action inputs to generate video-based predictions, frequently overlooking the critical role of tactile feedback in understanding physical interactions. In this work, we investigate the integration of ","authors":["Mandil, Willow","Ghalamzan-E, Amir"],"url":"https://arxiv.org/abs/2304.11193","arxiv_id":"2304.11193","published":"2026-05-14"},{"title":"R-C-P Method: An Autonomous Volume Calculation Method Using Image Processing and Machine Vision","abstract":"Machine vision and image processing are often used with sensors for situation awareness in autonomous systems, from industrial robots to self-driving cars. The 3D depth sensors, such as LiDAR (Light Detection and Ranging), Radar, are great invention for autonomous systems. Due to the complexity of the setup, LiDAR may not be suitable for some operational environments, for example, a space environment. This study was ","authors":["Muktadir, MA","Parker, Sydney","Yi, Sun"],"url":"https://arxiv.org/abs/2308.10058","arxiv_id":"2308.10058","published":"2026-05-14"},{"title":"Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection","abstract":"The COVID-19 pandemic has exerted a profound impact on the global economy and continues to exact a significant toll on human lives. The COVID-19 case growth rate stands as a key epidemiological parameter to estimate and monitor for effective detection and containment of the resurgence of outbreaks. A fundamental challenge in growth rate estimation and hence outbreak detection is balancing the accuracy-speed tradeoff,","authors":["She, Zhaowei","Wang, Zilong","Chhatwal, Jagpreet","Ayer, Turgay"],"url":"https://arxiv.org/abs/2312.04110","arxiv_id":"2312.04110","published":"2026-05-14"},{"title":"Tighter Learning Guarantees on Digital Computers via Concentration of Measure on Finite Spaces","abstract":"Machine learning models with inputs in a Euclidean space $\\mathbb{R}^d$, when implemented on digital computers, generalize, and their generalization gap converges to $0$ at a rate of $c/N^{1/2}$ concerning the sample size $N$. However, the constant $c>0$ obtained through classical methods can be large in terms of the ambient dimension $d$ and machine precision, posing a challenge when $N$ is small to realistically","authors":["Kratsios, Anastasis","Neuman, A. Martina","Pammer, Gudmund"],"url":"https://arxiv.org/abs/2402.05576","arxiv_id":"2402.05576","published":"2026-05-14"},{"title":"Understanding Catastrophic Forgetting In LoRA via Mean-Field Attention Dynamics","abstract":"Low-Rank Adaptation (LoRA) is the dominant parameter-efficient fine-tuning method due to its favorable compute-performance trade-off, yet it suffers from catastrophic forgetting. We study forgetting through a tractable _mean-field self-attention_ toy model, where tokens evolve as an interacting particle system and LoRA acts as a low-rank perturbation. Using tools from partial differential equations and dynamical syst","authors":["Koubbi, Hugo","Hernandez, Louis","Boussard, Matthieu"],"url":"https://arxiv.org/abs/2402.15415","arxiv_id":"2402.15415","published":"2026-05-14"},{"title":"Compact 3D Gaussian Splatting For Dense Visual SLAM","abstract":"Recent work has shown that 3D Gaussian-based SLAM enables high-quality reconstruction, accurate pose estimation, and real-time rendering of scenes. However, these approaches are built on a tremendous number of redundant 3D Gaussian ellipsoids, leading to high memory and storage costs, and slow training speed. To address the limitation, we propose a compact 3D Gaussian Splatting SLAM system that reduces the number and","authors":["Deng, Tianchen","Nie, Chang","Liu, Shuhong","Wu, Wenhua","Yang, Jianfei","Yuan, Shenghai"],"url":"https://arxiv.org/abs/2403.11247","arxiv_id":"2403.11247","published":"2026-05-14"},{"title":"ChatSR: Multimodal Large Language Models for Scientific Formula Discovery","abstract":"Current multimodal large language models (MLLMs) are mainly focused on the understanding and processing of perceptual modalities such as images and videos, while their capability for scientific data understanding remains insufficient. To this end, we propose ChatSR, a novel multimodal large language model tailored for scientific data understanding. ChatSR treats scientific data as a new modality analogous to visual c","authors":["Li, Yanjie","Yu, Lina","Li, Weijun","Wu, Min","Zhang, Liping","Liu, Jingyi"],"url":"https://arxiv.org/abs/2406.05410","arxiv_id":"2406.05410","published":"2026-05-14"},{"title":"Generative Modeling by Minimizing the Wasserstein-2 Loss","abstract":"This paper develops a generative model by minimizing the second-order Wasserstein loss (the $W_2$ loss) through a distribution-dependent ordinary differential equation (ODE), whose dynamics involves the Kantorovich potential associated with the true data distribution and a current estimate of it. A main result shows that the time-marginal laws of the ODE form a gradient flow for the $W_2$ loss, which converges expone","authors":["Huang, Yu-Jui","Malik, Zachariah"],"url":"https://arxiv.org/abs/2406.13619","arxiv_id":"2406.13619","published":"2026-05-14"},{"title":"Clustering in pure-attention hardmax transformers and its role in sentiment analysis","abstract":"Transformers are extremely successful machine learning models whose mathematical properties remain poorly understood. Here, we rigorously characterize the behavior of transformers with hardmax self-attention and normalization sublayers as the number of layers tends to infinity. By viewing such transformers as discrete-time dynamical systems describing the evolution of points in a Euclidean space, and thanks to a geom","authors":["Alcalde, Albert","Fantuzzi, Giovanni","Zuazua, Enrique"],"url":"https://arxiv.org/abs/2407.01602","arxiv_id":"2407.01602","published":"2026-05-14"},{"title":"Ensemble Transport Filter via Optimized Maximum Mean Discrepancy","abstract":"In this paper, we present a new ensemble-based filter method by reconstructing the analysis step of the particle filter through a transport map, which directly transports prior particles to posterior particles. The transport map is constructed through an optimization problem described by the Maximum Mean Discrepancy loss function, which matches the expectation information of the approximated posterior and reference p","authors":["Zeng, Dengfei","Jiang, Lijian"],"url":"https://arxiv.org/abs/2407.11518","arxiv_id":"2407.11518","published":"2026-05-14"},{"title":"Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation","abstract":"Multi-sensor ML models for EO aim to enhance prediction accuracy by integrating data from various sources. However, the presence of missing data poses a significant challenge, particularly in non-persistent sensors that can be affected by external factors. Existing literature has explored strategies like temporal dropout and sensor-invariant models to address the generalization to missing data issues. Inspired by the","authors":["Mena, Francisco","Arenas, Diego","Dengel, Andreas"],"url":"https://arxiv.org/abs/2407.15512","arxiv_id":"2407.15512","published":"2026-05-14"},{"title":"Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer","abstract":"Prompt tuning is an efficient solution for training large language models (LLMs). However, current soft-prompt-based methods often sacrifice multi-task modularity, requiring the training process to be fully or partially repeated for each newly added task. While recent work on task vectors applied arithmetic operations on full model weights to achieve the desired multi-task performance, a similar approach for soft-pro","authors":["Belanec, Robert","Ostermann, Simon","Srba, Ivan","Bielikova, Maria"],"url":"https://arxiv.org/abs/2408.01119","arxiv_id":"2408.01119","published":"2026-05-14"},{"title":"AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions","abstract":"AI Safety is an emerging area of critical importance to the safe adoption and deployment of AI systems. With the rapid proliferation of AI and especially with the recent advancement of Generative AI (or GAI), the technology ecosystem behind the design, development, adoption, and deployment of AI systems has drastically changed, broadening the scope of AI Safety to address impacts on public safety and national securit","authors":["Chen, Chen","Gong, Xueluan","Liu, Ziyao","Jiang, Weifeng","Goh, Si Qi","Lam, Kwok-Yan"],"url":"https://arxiv.org/abs/2408.12935","arxiv_id":"2408.12935","published":"2026-05-14"},{"title":"Convergent Differential Privacy Analysis for General Federated Learning","abstract":"The powerful cooperation of federated learning (FL) and differential privacy~(DP) provides a promising paradigm for the large-scale private clients. However, existing analyses in FL-DP mostly rely on the composition theorem and cannot tightly quantify the privacy leakage challenges, which is tight for a few communication rounds but yields an arbitrarily loose and divergent bound eventually. This also implies a counte","authors":["Sun, Yan","Zhang, Qixin","Shen, Li","Tao, Dacheng"],"url":"https://arxiv.org/abs/2408.15621","arxiv_id":"2408.15621","published":"2026-05-14"},{"title":"BEAVER: An Enterprise Benchmark for Text-to-SQL","abstract":"Existing text-to-SQL benchmarks have largely been constructed from public databases with well-structured schemas and simplistic question-SQL pairs. While large language models (LLMs) excel on these settings, their efficacy in complex private enterprise environments, characterized by intricate schemas, domain knowledge, and analytical user queries involving sophisticated structures and functions, remains unproven. To ","authors":["Chen, Peter Baile","Yang, Devin","Li, Weiyue","Wenz, Fabian","Zhang, Yi","Tatbul, Nesime"],"url":"https://arxiv.org/abs/2409.02038","arxiv_id":"2409.02038","published":"2026-05-14"},{"title":"Few-shot Multi-Task Learning of Linear Invariant Features with Meta Subspace Pursuit","abstract":"Data scarcity poses a serious threat to modern machine learning and artificial intelligence, as their practical success typically relies on the availability of big datasets. One effective strategy to mitigate the issue of insufficient data is to first harness information from other data sources possessing certain similarities in the study design stage, and then employ the multi-task or meta learning framework in the ","authors":["Zhang, Chaozhi","Liu, Lin","Zhang, Xiaoqun"],"url":"https://arxiv.org/abs/2409.02708","arxiv_id":"2409.02708","published":"2026-05-14"},{"title":"Causal Fine-Tuning under Latent Confounded Shift","abstract":"Adapting to latent confounded shift remains a core challenge in modern AI. This setting is driven by hidden variables that induce spurious correlations between inputs and outputs during training, leading models to rely on non-causal shortcuts. For example, a model may learn to treat metadata (e.g., data source like &#34;Amazon&#34;) as a proxy for positive sentiment, causing failure when the source becomes predominan","authors":["Yu, Jialin","Zhou, Yuxiang","Li, Haoxuan","Yu, Junchi","Yang, Mengyue","He, Yulan"],"url":"https://arxiv.org/abs/2410.14375","arxiv_id":"2410.14375","published":"2026-05-14"},{"title":"Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms","abstract":"Music style transfer blends source structure with reference style to enable personalized music creation. However, existing zero-shot methods often struggle to capture fine-grained audio nuances, relying on coarse text descriptions or requiring expensive task-specific training. We propose Stylus, a training-free framework that repurposes pretrained image diffusion models for music style transfer in the Mel-spectrogram","authors":["Wang, Heehwan","Kwon, Joonwoo","Kim, Sooyoung","Seo, Jungwoo","Yoo, Shinjae","Lin, Yuewei"],"url":"https://arxiv.org/abs/2411.15913","arxiv_id":"2411.15913","published":"2026-05-14"}],"history":{"events":[{"year":2010,"text":"British politician Stephen Timms survived a murder attempt by an Islamic extremist during a constituency surgery.","url":"https://en.wikipedia.org/wiki/Stephen_Timms"},{"year":2008,"text":"On the day of the UEFA Cup Final, violence erupted between football hooligan supporters of both teams and the Greater Manchester Police, resulting in 39 arrests and 39 injured officers.","url":"https://en.wikipedia.org/wiki/2008_UEFA_Cup_final"},{"year":1980,"text":"Salvadoran Civil War: Refugees trying to flee El Salvador across the Sumpul River to Honduras were attacked by both Salvadoran and Honduran forces, resulting in at least 300 deaths.","url":"https://en.wikipedia.org/wiki/Salvadoran_Civil_War"},{"year":1955,"text":"Cold War: Eight Eastern Bloc countries signed a mutual defense treaty to establish the Warsaw Pact.","url":"https://en.wikipedia.org/wiki/Cold_War"},{"year":1951,"text":"Trains ran on the Talyllyn Railway in Wales for the first time since its preservation, making it the first railway in the world to be operated by volunteers.","url":"https://en.wikipedia.org/wiki/Talyllyn_Railway"},{"year":1943,"text":"Second World War: Australian Hospital Ship Centaur was attacked and sunk by a Japanese submarine off the coast of Queensland, killing 268 people aboard.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1940,"text":"World War II: The bulk of Dutch forces surrendered to the German Wehrmacht, ending the Battle of the Netherlands.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1939,"text":"In Lima, Peru, Lina Medina became the youngest confirmed mother in history, giving birth at the age of five years, seven months and twenty-one days.","url":"https://en.wikipedia.org/wiki/Lima"},{"year":1931,"text":"Five people were killed in Ådalen, Sweden, as soldiers opened fire on an unarmed trade union demonstration.","url":"https://en.wikipedia.org/wiki/%C3%85dalen"},{"year":1919,"text":"Sir Harry Hands, the mayor of Cape Town, performed the first public observance of a two-minute silence in remembrance of those killed in World War I.","url":"https://en.wikipedia.org/wiki/Harry_Hands"},{"year":1878,"text":"The last witchcraft trial in the United States opened in Salem, Massachusetts.","url":"https://en.wikipedia.org/wiki/Salem_witchcraft_trial_(1878)"},{"year":1868,"text":"Boshin War: Troops of the Tokugawa shogunate withdrew from the Battle of Utsunomiya Castle and retreated north towards Nikkō and Aizu.","url":"https://en.wikipedia.org/wiki/Boshin_War"},{"year":1863,"text":"American Civil War: Union troops captured Jackson, the capital of Mississippi.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1857,"text":"Mindon Min was crowned as King of Burma.","url":"https://en.wikipedia.org/wiki/Mindon_Min"},{"year":1856,"text":"Major Henry C. Wayne arrived in Indianola, Texas, with 34 camels to form the short-lived United States Camel Corps.","url":"https://en.wikipedia.org/wiki/Henry_C._Wayne"},{"year":1804,"text":"Led by Meriwether Lewis and William Clark, the Corps of Discovery left Camp Dubois near present-day Hartford, Illinois, to begin the first overland expedition to the West Coast of the United States and back.","url":"https://en.wikipedia.org/wiki/Meriwether_Lewis"},{"year":1509,"text":"War of the League of Cambrai: French forces defeated the Venetians at the Battle of Agnadello in present-day Northern Italy.","url":"https://en.wikipedia.org/wiki/War_of_the_League_of_Cambrai"},{"year":1264,"text":"Second Barons' War: King Henry III was defeated at the Battle of Lewes and forced to sign the Mise of Lewes, making Simon de Montfort the de facto ruler of England.","url":"https://en.wikipedia.org/wiki/Second_Barons'_War"}],"births":[{"year":2002,"text":"Zach Edey, Canadian basketball player","url":"https://en.wikipedia.org/wiki/Zach_Edey"},{"year":2001,"text":"Jack Hughes, American hockey player","url":"https://en.wikipedia.org/wiki/Jack_Hughes"},{"year":1997,"text":"Rúben Dias, Portuguese footballer","url":"https://en.wikipedia.org/wiki/R%C3%BAben_Dias"},{"year":1996,"text":"Blake Brockington, American trans man and activist (died 2015)","url":"https://en.wikipedia.org/wiki/Blake_Brockington"},{"year":1996,"text":"Martin Garrix, Dutch DJ","url":"https://en.wikipedia.org/wiki/Martin_Garrix"},{"year":1996,"text":"Pokimane, Moroccan-Canadian internet personality","url":"https://en.wikipedia.org/wiki/Pokimane"},{"year":1995,"text":"Rose Lavelle, American soccer player","url":"https://en.wikipedia.org/wiki/Rose_Lavelle"},{"year":1994,"text":"Marquinhos, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Marquinhos"}],"deaths":[{"year":2026,"text":"Hans van Houwelingen, Dutch mathematician and professor emeritus of medical statistics (born 1945)","url":"https://en.wikipedia.org/wiki/Hans_van_Houwelingen"},{"year":2024,"text":"Don Perlin, American comic book artist, writer, and editor (born 1929)","url":"https://en.wikipedia.org/wiki/Don_Perlin"},{"year":2024,"text":"Netiporn Sanesangkhom, Thai political activist (born 1995)","url":"https://en.wikipedia.org/wiki/Netiporn_Sanesangkhom"},{"year":2023,"text":"Doyle Brunson, American poker player (born 1933)","url":"https://en.wikipedia.org/wiki/Doyle_Brunson"},{"year":2023,"text":"Samantha Weinstein, Canadian actress (born 1995)","url":"https://en.wikipedia.org/wiki/Samantha_Weinstein"},{"year":2019,"text":"Tim Conway, American actor, writer, and comedian (born 1933)","url":"https://en.wikipedia.org/wiki/Tim_Conway"},{"year":2019,"text":"Grumpy Cat, American cat and internet meme celebrity (born 2012)","url":"https://en.wikipedia.org/wiki/Grumpy_Cat"},{"year":2018,"text":"Tom Wolfe, American author (born 1931)","url":"https://en.wikipedia.org/wiki/Tom_Wolfe"}]},"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."}