{"date":"2025-11-24","schema_version":1,"captured_at":"2026-08-25T23:01:52.278Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Tatiana Schlossberg","views":282949,"rank":3,"extract":"Tatiana Celia Kennedy Schlossberg was an American environmental journalist and author. She worked as a science and climate reporter for The New York Times and wrote for several other publications, including The Atlantic, The Washington Post, Vanity Fair, and B","url":"https://en.wikipedia.org/wiki/Tatiana_Schlossberg","thumb":"https://upload.wikimedia.org/wikipedia/commons/f/fd/Tatiana_Schlossberg_in_July_2024.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Google Chrome","views":282854,"rank":4,"extract":"Google Chrome is a cross-platform web browser developed by Google. 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Teaching Machines the Language of Lines: Per Point Attribute Scores for Face-Sketch Classification","abstract":"FaCells is a method, and an exhibition, that turns model internals into line based artworks. Aligned face photographs (CelebA, 260k images, 40 attributes) are translated into vector sketches suitable for an XY plotter. We study how to 'write' these drawings for a sequence model, comparing absolute vs. relative point encodings and random vs. travel-minimizing stroke order. A bidirectional LSTM is trained for a","authors":["Gonzalez, Xavier Ignacio"],"url":"https://arxiv.org/abs/2102.11361","arxiv_id":"2102.11361","published":"2025-11-24"},{"title":"Toward Super-polynomial Quantum Speedup of Equivariant Quantum Algorithms with SU($d$) Symmetry","abstract":"We introduce a framework of the equivariant convolutional quantum algorithms which is tailored for a number of machine-learning tasks on physical systems with arbitrary SU$(d)$ symmetries. It allows us to enhance a natural model of quantum computation -- permutational quantum computing (PQC) -- and define a more powerful model: PQC+. While PQC was shown to be efficiently classically simulatable, we exhibit a problem ","authors":["Zheng, Han","Li, Zimu","Strelchuk, Sergii","Kondor, Risi","Liu, Junyu"],"url":"https://arxiv.org/abs/2207.07250","arxiv_id":"2207.07250","published":"2025-11-24"},{"title":"Rigorous dynamical mean field theory for stochastic gradient descent methods","abstract":"We prove closed-form equations for the exact high-dimensional asymptotics of a family of first order gradient-based methods, learning an estimator (e.g. M-estimator, shallow neural network, ...) from observations on Gaussian data with empirical risk minimization. This includes widely used algorithms such as stochastic gradient descent (SGD) or Nesterov acceleration. The obtained equations match those resulting from t","authors":["Gerbelot, Cedric","Troiani, Emanuele","Mignacco, Francesca","Krzakala, Florent","Zdeborova, Lenka"],"url":"https://arxiv.org/abs/2210.06591","arxiv_id":"2210.06591","published":"2025-11-24"},{"title":"UplinkNet: Practical Commercial 5G Standalone (SA) Uplink Throughput Prediction","abstract":"While 5G New Radio (NR) networks offer significant uplink throughput improvements, these gains are primarily realized when User Equipment (UE) connects to high-frequency millimeter wave (mmWave) bands. The growing demand for uplink-intensive applications, such as real-time UHD 4K/8K video streaming and Virtual Reality (VR)/Augmented Reality (AR) content, highlights the need for accurate uplink throughput prediction t","authors":["Arunruangsirilert, Kasidis","Katto, Jiro"],"url":"https://arxiv.org/abs/2307.12417","arxiv_id":"2307.12417","published":"2025-11-24"},{"title":"Colo-ReID: Discriminative Representation Embedding with Meta-learning for Colonoscopic Polyp Re-Identification","abstract":"Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with images from different views taken using different cameras and plays an important role in the prevention and treatment of colorectal cancer. However, traditional methods for object ReID directly adopting CNN models trained on the ImageNet dataset usually produce unsatisfactory retrieval performance on colonoscopic datasets due ","authors":["Xiang, Suncheng","Zhou, Chengfeng","Zhang, Zhengjie","Cai, Shilun","Qian, Dahong"],"url":"https://arxiv.org/abs/2308.00929","arxiv_id":"2308.00929","published":"2025-11-24"},{"title":"Minimax Statistical Estimation under Wasserstein Contamination","abstract":"Contaminations are a key concern in modern statistical learning, as small but systematic perturbations of all datapoints can substantially alter estimation results. Here, we study Wasserstein-$r$ contaminations ($r\\ge 1$) in an $\\ell_q$ norm ($q\\in [1,\\infty]$), in which each observation may undergo an adversarial perturbation with bounded cost, complementing the classical Huber model, corresponding to total variatio","authors":["Chao, Patrick","Dobriban, Edgar"],"url":"https://arxiv.org/abs/2308.01853","arxiv_id":"2308.01853","published":"2025-11-24"},{"title":"A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect","abstract":"Interpretability plays a crucial role in the application of statistical learning to estimate heterogeneous treatment effects (HTE) in complex diseases. In this study, we leverage a rule-based workflow, namely causal rule learning (CRL), to estimate and improve our understanding of HTE for atrial septal defect, addressing an overlooked question in the previous literature: what if an individual simultaneously belongs t","authors":["Wu, Ying","Liu, Hanzhong","Ren, Kai","Ma, Shujie","Chang, Xiangyu"],"url":"https://arxiv.org/abs/2310.06746","arxiv_id":"2310.06746","published":"2025-11-24"},{"title":"AV-Lip-Sync+: Leveraging AV-HuBERT to Exploit Multimodal Inconsistency for Deepfake Detection of Frontal Face Videos","abstract":"Multimodal manipulations (also known as audio-visual deepfakes) make it difficult for unimodal deepfake detectors to detect forgeries in multimedia content. To avoid the spread of false propaganda and fake news, timely detection is crucial. The damage to either modality (i.e., visual or audio) can only be discovered through multimodal models that can exploit both pieces of information simultaneously. However, previou","authors":["Shahzad, Sahibzada Adil","Hashmi, Ammarah","Peng, Yan-Tsung","Tsao, Yu","Wang, Hsin-Min"],"url":"https://arxiv.org/abs/2311.02733","arxiv_id":"2311.02733","published":"2025-11-24"},{"title":"Share What You Already Know: Cross-Language-Script Transfer and Alignment for Sentiment Detection in Code-Mixed Data","abstract":"Code-switching entails mixing multiple languages. It is an increasingly occurring phenomenon in social media texts. Usually, code-mixed texts are written in a single script, even though the languages involved have different scripts. Pre-trained multilingual models primarily utilize the data in the native script of the language. In existing studies, the code-switched texts are utilized as they are. However, using the ","authors":["Pahari, Niraj","Shimada, Kazutaka"],"url":"https://arxiv.org/abs/2402.04542","arxiv_id":"2402.04542","published":"2025-11-24"},{"title":"A statistical method for crack pre-detection in 3D concrete images","abstract":"In practical applications, effectively segmenting cracks in large-scale computed tomography (CT) images holds significant importance for understanding the structural integrity of materials. Classical image-processing techniques and modern deep-learning models both face substantial computational challenges when applied directly to high resolution big data volumes. This paper introduces a statistical framework for crac","authors":["Makogin, Vitalii","Nguyen, Duc","Spodarev, Evgeny"],"url":"https://arxiv.org/abs/2402.16126","arxiv_id":"2402.16126","published":"2025-11-24"},{"title":"Interpretable Machine Learning for Survival Analysis","abstract":"With the spread and rapid advancement of black box machine learning models, the field of interpretable machine learning (IML) or explainable artificial intelligence (XAI) has become increasingly important over the last decade. This is particularly relevant for survival analysis, where the adoption of IML techniques promotes transparency, accountability and fairness in sensitive areas, such as clinical decision making","authors":["Langbein, Sophie Hanna","Krzyziński, Mateusz","Spytek, Mikołaj","Baniecki, Hubert","Biecek, Przemysław","Wright, Marvin N."],"url":"https://arxiv.org/abs/2403.10250","arxiv_id":"2403.10250","published":"2025-11-24"},{"title":"MindShot: A Few-Shot Brain Decoding Framework via Transferring Cross-Subject Prior and Distilling Frequency Domain Knowledge","abstract":"Aiming to reconstruct visual stimuli from brain signals, brain decoding has recently made significant progress using functional magnetic resonance imaging (fMRI). However, it still has challenging issues such as substantial individual differences and high data collection costs. To simplify these problems, most methods adopt the per-subject-per-model paradigm, but this greatly limits their applications. In this paper,","authors":["Jiang, Shuai","Meng, Zhu","Li, Haiwen","Liu, Delong","Su, Fei","Zhao, Zhicheng"],"url":"https://arxiv.org/abs/2405.15278","arxiv_id":"2405.15278","published":"2025-11-24"},{"title":"Estimating Global Input Relevance and Enforcing Sparse Representations with a Scalable Spectral Neural Network Approach","abstract":"In machine learning practice it is often useful to identify relevant input features. Isolating key input elements, ranked according their respective degree of relevance, can help to elaborate on the process of decision making. Here, we propose a novel method to estimate the relative importance of the input components for a Deep Neural Network. This is achieved by leveraging on a spectral re-parametrization of the opt","authors":["Chicchi, Lorenzo","Buffoni, Lorenzo","Febbe, Diego","Giambagli, Lorenzo","Marino, Raffaele","Fanelli, Duccio"],"url":"https://arxiv.org/abs/2406.01183","arxiv_id":"2406.01183","published":"2025-11-24"},{"title":"Generative AI and Power Imbalances in Global Education: Frameworks for Bias Mitigation","abstract":"This study examines how Generative Artificial Intelligence reproduces global power hierarchies in education and proposes a framework to address resulting inequities. Using a critical qualitative design, the study conducted zero-shot prompt testing with two leading systems, ChatGPT-4 Turbo and Gemini 1.5, and collected real-time outputs from Global North and South contexts. A critical interpretive analysis traced text","authors":["Nyaaba, Matthew","Wright, Alyson","Choi, Gyu Lim"],"url":"https://arxiv.org/abs/2406.02966","arxiv_id":"2406.02966","published":"2025-11-24"},{"title":"CATCODER: Repository-Level Code Generation with Relevant Code and Type Context","abstract":"Large language models (LLMs) have demonstrated remarkable capabilities in code generation tasks. However, repository-level code generation presents unique challenges, particularly due to the need to utilize information spread across multiple files within a repository. Specifically, successful generation depends on a solid grasp of both general, context-agnostic knowledge and specific, context-dependent knowledge. Whi","authors":["Pan, Zhiyuan","Hu, Xing","Xia, Xin","Yang, Xiaohu"],"url":"https://arxiv.org/abs/2406.03283","arxiv_id":"2406.03283","published":"2025-11-24"},{"title":"The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patterns","abstract":"We introduce the Cooperative Network Architecture (CNA), a model that represents sensory signals using structured, recurrently connected networks of neurons, termed "nets." Nets are dynamically assembled from overlapping net fragments, which are learned based on statistical regularities in sensory input. This architecture offers robustness to noise, deformation, and generalization to out-of-distribution data,","authors":["Sager, Pascal J.","Deriu, Jan M.","Grewe, Benjamin F.","Stadelmann, Thilo","von der Malsburg, Christoph"],"url":"https://arxiv.org/abs/2407.05650","arxiv_id":"2407.05650","published":"2025-11-24"},{"title":"Resolving Sentiment Discrepancy for Multimodal Sentiment Detection via Semantics Completion and Decomposition","abstract":"With the proliferation of social media posts in recent years, the need to detect sentiments in multimodal (image-text) content has grown rapidly. Since posts are user-generated, the image and text from the same post can express different or even contradictory sentiments, leading to potential \\textbf{sentiment discrepancy}. However, existing works mainly adopt a single-branch fusion structure that primarily captures t","authors":["Wu, Daiqing","Yang, Dongbao","Shen, Huawen","Ma, Can","Zhou, Yu"],"url":"https://arxiv.org/abs/2407.07026","arxiv_id":"2407.07026","published":"2025-11-24"},{"title":"HPPP: Halpern-type Preconditioned Proximal Point Algorithms and Applications to Image Restoration","abstract":"Recently, the degenerate preconditioned proximal point (PPP) method provides a unified and flexible framework for designing and analyzing operator-splitting algorithms such as Douglas-Rachford (DR). However, the degenerate PPP method exhibits weak convergence in the infinite-dimensional Hilbert space and lacks accelerated variants. To address these issues, we propose a Halpern-type PPP (HPPP) algorithm, which leverag","authors":["Zhang, Shuchang","Zhang, Hui","Wang, Hongxia"],"url":"https://arxiv.org/abs/2407.13120","arxiv_id":"2407.13120","published":"2025-11-24"},{"title":""Normalized Stress" is Not Normalized: How to Interpret Stress Correctly","abstract":"Stress is among the most commonly employed quality metrics and optimization criteria for dimension reduction projections of high dimensional data. Complex, high dimensional data is ubiquitous across many scientific disciplines, including machine learning, biology, and the social sciences. One of the primary methods of visualizing these datasets is with two dimensional scatter plots that visually capture some properti","authors":["Smelser, Kiran","Miller, Jacob","Kobourov, Stephen"],"url":"https://arxiv.org/abs/2408.07724","arxiv_id":"2408.07724","published":"2025-11-24"},{"title":"AeroVerse: UAV-Agent Benchmark Suite for Simulating, Pre-training, Finetuning, and Evaluating Aerospace Embodied World Models","abstract":"Aerospace embodied intelligence aims to empower unmanned aerial vehicles (UAVs) and other aerospace platforms to achieve autonomous perception, cognition, and action, as well as egocentric active interaction with humans and the environment. The aerospace embodied world model serves as an effective means to realize the autonomous intelligence of UAVs and represents a necessary pathway toward aerospace embodied intelli","authors":["Yao, Fanglong","Yue, Yuanchang","Liu, Youzhi","Sun, Xian","Fu, Kun"],"url":"https://arxiv.org/abs/2408.15511","arxiv_id":"2408.15511","published":"2025-11-24"},{"title":"Variational Search Distributions","abstract":"We develop VSD, a method for conditioning a generative model of discrete, combinatorial designs on a rare desired class by efficiently evaluating a black-box (e.g. experiment, simulation) in a batch sequential manner. We call this task active generation; we formalize active generation's requirements and desiderata, and formulate a solution via variational inference. VSD uses off-the-shelf gradient based optimizat","authors":["Steinberg, Daniel M.","Oliveira, Rafael","Ong, Cheng Soon","Bonilla, Edwin V."],"url":"https://arxiv.org/abs/2409.06142","arxiv_id":"2409.06142","published":"2025-11-24"},{"title":"MonoKAN: Certified Monotonic Kolmogorov-Arnold Network","abstract":"Artificial Neural Networks (ANNs) have significantly advanced various fields by effectively recognizing patterns and solving complex problems. Despite these advancements, their interpretability remains a critical challenge, especially in applications where transparency and accountability are essential. To address this, explainable AI (XAI) has made progress in demystifying ANNs, yet interpretability alone is often in","authors":["Polo-Molina, Alejandro","Alfaya, David","Portela, Jose"],"url":"https://arxiv.org/abs/2409.11078","arxiv_id":"2409.11078","published":"2025-11-24"},{"title":"LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent Architectures","abstract":"In an era where vast amounts of data are collected and processed from diverse sources, there is a growing demand for sophisticated AI systems capable of intelligently fusing and analyzing this information. To address these challenges, researchers have turned towards integrating tools into LLM-powered agents to enhance the overall information fusion process. However, the conjunction of these technologies and the propo","authors":["Hassouna, Amine Ben","Chaari, Hana","Belhaj, Ines"],"url":"https://arxiv.org/abs/2409.11393","arxiv_id":"2409.11393","published":"2025-11-24"},{"title":"Instance Configuration for Sustainable Job Shop Scheduling","abstract":"The Job Shop Scheduling Problem (JSP) is a pivotal challenge in operations research and is essential for evaluating the effectiveness and performance of scheduling algorithms. Scheduling problems are a crucial domain in combinatorial optimization, where resources (machines) are allocated to job tasks to minimize the completion time (makespan) alongside other objectives like energy consumption. This research delves in","authors":["Perez, Christian","March, Carlos","Salido, Miguel A."],"url":"https://arxiv.org/abs/2409.18972","arxiv_id":"2409.18972","published":"2025-11-24"},{"title":"Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery","abstract":"The increase in Arctic marine activity due to rapid warming and significant sea ice loss necessitates highly reliable, short-term sea ice forecasts to ensure maritime safety and operational efficiency. In this work, we present a novel data-driven approach for sea ice condition forecasting in the Gulf of Ob, leveraging sequences of radar images from Sentinel-1, weather observations, and GLORYS forecasts. Our approach ","authors":["Ailuro, Stefan Maria","Nedorubova, Anna","Grigoryev, Timofey","Burnaev, Evgeny","Vanovskiy, Vladimir"],"url":"https://arxiv.org/abs/2410.19782","arxiv_id":"2410.19782","published":"2025-11-24"}],"history":{"events":[{"year":2023,"text":"Hibiscus Rising (pictured), a sculpture commemorating the life of David Oluwale, was unveiled in Leeds.","url":"https://en.wikipedia.org/wiki/Hibiscus_Rising"},{"year":2015,"text":"A Russian Sukhoi Su-24 attack aircraft was shot down by a Turkish fighter jet after the former allegedly strayed into Turkish airspace and ignored warnings to change course.","url":"https://en.wikipedia.org/wiki/Sukhoi_Su-24"},{"year":2009,"text":"The Avdhela Project, an Aromanian digital library and cultural initiative, was launched in Bucharest, Romania.","url":"https://en.wikipedia.org/wiki/Avdhela_Project"},{"year":1976,"text":"A magnitude-7.3 earthquake struck eastern Turkey, destroying 80 per cent of buildings in the region and causing at least 4,000 casualties.","url":"https://en.wikipedia.org/wiki/1976_%C3%87ald%C4%B1ran%E2%80%93Muradiye_earthquake"},{"year":1971,"text":"After collecting a ransom payout of $200,000, D. B. Cooper (depicted) parachuted out of the rear stairway of the airplane he had hijacked over the Pacific Northwest and disappeared.","url":"https://en.wikipedia.org/wiki/D._B._Cooper"},{"year":1963,"text":"During a live television broadcast, businessman Jack Ruby shot and fatally wounded Lee Harvey Oswald, who assassinated U.S. president John F. Kennedy, fueling numerous conspiracy theories.","url":"https://en.wikipedia.org/wiki/Jack_Ruby"},{"year":1950,"text":"The \"Great Appalachian Storm\", a large extratropical cyclone, struck the east coast of the United States before moving northeast.","url":"https://en.wikipedia.org/wiki/Great_Appalachian_Storm_of_1950"},{"year":1943,"text":"World War II: Following the American capture of Makin Atoll, USS Liscome Bay was sunk by a torpedo from Japanese submarine I-175, killing 644.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1941,"text":"The Holocaust: The Theresienstadt Ghetto was founded as a waystation to Nazi extermination camps and a \"retirement settlement\" for elderly and prominent Jews to mislead their communities about the Final Solution.","url":"https://en.wikipedia.org/wiki/The_Holocaust"},{"year":1925,"text":"The Eugene O'Neill Theatre (pictured) opened on Broadway, New York, with a production of the musical Mayflowers.","url":"https://en.wikipedia.org/wiki/Eugene_O'Neill_Theatre"},{"year":1922,"text":"Irish Civil War: Irish nationalist author Erskine Childers was executed by the Irish Free State for illegally carrying a semi-automatic pistol.","url":"https://en.wikipedia.org/wiki/Irish_Civil_War"},{"year":1918,"text":"The Podgorica Assembly convened in Montenegro, with the intention of uniting with the Kingdom of Serbia.","url":"https://en.wikipedia.org/wiki/Podgorica_Assembly"},{"year":1906,"text":"The second of two games between two Ohio football teams took place, after which accusations were made that players conspired to deliberately lose games.","url":"https://en.wikipedia.org/wiki/American_football"},{"year":1863,"text":"American Civil War: As part of the Chattanooga campaign in Chattanooga, Tennessee, Union forces captured Lookout Mountain, helping them to begin breaking the Confederate siege of the city.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1859,"text":"British naturalist Charles Darwin's On the Origin of Species was first published, and sold out its initial print run on the first day.","url":"https://en.wikipedia.org/wiki/Charles_Darwin"},{"year":1643,"text":"Thirty Years' War: Holy Roman Empire, Bavarian and Spanish forces led by Franz von Mercy defeated the French army in Germany led by Marshal Josias von Rantzau at the Battle of Tuttlingen.","url":"https://en.wikipedia.org/wiki/Thirty_Years'_War"},{"year":1542,"text":"Anglo-Scottish Wars: English forces captured about 1,200 Scots at the Battle of Solway Moss.","url":"https://en.wikipedia.org/wiki/Anglo-Scottish_Wars"},{"year":1221,"text":"Mongol invasion of the Khwarazmian Empire: Genghis Khan defeated the renegade Khwarazmian prince Jalal al-Din at the Battle of the Indus.","url":"https://en.wikipedia.org/wiki/Mongol_invasion_of_the_Khwarazmian_Empire"}],"births":[{"year":1998,"text":"Jeremy Swayman, American ice hockey player","url":"https://en.wikipedia.org/wiki/Jeremy_Swayman"},{"year":1995,"text":"Marcus Bontempelli, Australian footballer","url":"https://en.wikipedia.org/wiki/Marcus_Bontempelli"},{"year":1994,"text":"Nabil Bentaleb, Algerian footballer","url":"https://en.wikipedia.org/wiki/Nabil_Bentaleb"},{"year":1993,"text":"Ivi Adamou, Cypriot-Greek singer-songwriter","url":"https://en.wikipedia.org/wiki/Ivi_Adamou"},{"year":1993,"text":"Joe Pigott, English footballer","url":"https://en.wikipedia.org/wiki/Joe_Pigott"},{"year":1992,"text":"Sergei Kulbach, Ukrainian figure skater (died 2023)","url":"https://en.wikipedia.org/wiki/Sergei_Kulbach"},{"year":1990,"text":"Mario Gaspar, Spanish footballer","url":"https://en.wikipedia.org/wiki/Mario_Gaspar"},{"year":1990,"text":"Sarah Hyland, American actress","url":"https://en.wikipedia.org/wiki/Sarah_Hyland"}],"deaths":[{"year":2025,"text":"Jimmy Cliff, Jamaican Hall of Fame reggae singer-songwriter (born 1944)","url":"https://en.wikipedia.org/wiki/Jimmy_Cliff"},{"year":2025,"text":"Dharmendra, Indian actor (born 1935)","url":"https://en.wikipedia.org/wiki/Dharmendra"},{"year":2024,"text":"Barbara Taylor Bradford, British novelist (born 1933)","url":"https://en.wikipedia.org/wiki/Barbara_Taylor_Bradford"},{"year":2024,"text":"Breyten Breytenbach, South African-French poet and painter (born 1939)","url":"https://en.wikipedia.org/wiki/Breyten_Breytenbach"},{"year":2024,"text":"Helen Gallagher, American actress, singer, and dancer (born 1926)","url":"https://en.wikipedia.org/wiki/Helen_Gallagher"},{"year":2022,"text":"Börje Salming, Swedish hockey player (born 1951)","url":"https://en.wikipedia.org/wiki/B%C3%B6rje_Salming"},{"year":2019,"text":"Goo Hara, South Korean singer and actress (born 1991)","url":"https://en.wikipedia.org/wiki/Goo_Hara"},{"year":2016,"text":"Paul Futcher, English footballer (born 1956)","url":"https://en.wikipedia.org/wiki/Paul_Futcher"}]},"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."}