{"date":"2026-10-02","schema_version":1,"captured_at":"2026-10-03T10:09:02.923Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":12},"attention":[{"title":"Christa Pike","views":4309025,"rank":2,"extract":"Christa Gail Pike is an American convicted murderer on death row in Tennessee. In Knoxville in 1995, when she was 18, Pike and her boyfriend lured their 19-year-old Job Corps classmate Colleen Slemmer into the woods where they tortured and killed her. In 1996,","url":"https://en.wikipedia.org/wiki/Christa_Pike","thumb":"https://upload.wikimedia.org/wikipedia/en/1/16/Christa_Pike_Mugshot.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"USS Theodore Roosevelt (CVN-71)","views":495200,"rank":5,"extract":"USS Theodore Roosevelt (CVN-71) is the fourth Nimitz-class, nuclear-powered, aircraft carrier in the United States Navy. 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They are currently being held from 19 September to 4 October 2026 in Aichi Prefecture and Nagoya","url":"https://en.wikipedia.org/wiki/2026_Asian_Games_medal_table","thumb":null},{"title":"India at the 2026 Asian Games","views":260558,"rank":7,"extract":"India is participating in the 2026 Asian Games in Aichi Prefecture, Japan from 19 September to 4 October 2026. This is the country's 20th consecutive appearance in the competition, having made its debut at the inaugural 1951 Asian Games. 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It is located at the junction of Kentucky Route 206 and Kentucky Route 76. Its elevation is 705 feet (215 m). For unknown reasons, the town's name was spelled as ","url":"https://en.wikipedia.org/wiki/Neatsville%2C_Kentucky","thumb":null},{"title":"Lethal injection","views":80498,"rank":31,"extract":"Lethal injection is the practice of injecting one or more drugs into a person for the express purpose of causing death. The main application for this procedure is capital punishment. 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He has had recurring roles on ER, Melrose Place, and Now a","url":"https://en.wikipedia.org/wiki/Chad_Lowe","thumb":null},{"title":"Killing of the Clancy children","views":78312,"rank":34,"extract":"On January 24, 2023, Lindsay Clancy fatally strangled her three children—five-year-old Cora, three-year-old Dawson, and eight-month-old Callan—at the family's home in Duxbury, Massachusetts, United States. 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run LLM locally with ds4","points":239,"comments":63,"url":"https://dwarfstar.sh/","discussion":"https://news.ycombinator.com/item?id=49936575"},{"title":"With most information hidden, the game Stratego had stumped AI until now","points":216,"comments":109,"url":"https://arstechnica.com/science/2026/10/ai-finally-beat-the-best-stratego-player-in-history-and-did-it-on-a-budget/","discussion":"https://news.ycombinator.com/item?id=49933740"},{"title":"The Forgetful CPU (Linux on M4)","points":215,"comments":141,"url":"https://yuka.dev/blog-2026-10-02-linux-m4.html","discussion":"https://news.ycombinator.com/item?id=49933869"},{"title":"Big Tech ruined the cloud, so we're renaming ours","points":207,"comments":102,"url":"https://www.home-assistant.io/blog/2026/10/02/big-tech-ruined-the-cloud-so-were-renaming-ours/","discussion":"https://news.ycombinator.com/item?id=49934228"},{"title":"ICC judge on what U.S. sanctions mean for her and global courts","points":206,"comments":149,"url":"https://www.npr.org/2026/10/01/nx-s1-5977815/trump-icc-sanctions-kimberly-prost","discussion":"https://news.ycombinator.com/item?id=49935867"},{"title":"Supabase is acquiring Turso","points":203,"comments":107,"url":"https://supabase.com/blog/supabase-is-acquiring-turso","discussion":"https://news.ycombinator.com/item?id=49934784"},{"title":"Updates to Full Disk Access in macOS","points":201,"comments":134,"url":"https://developer.apple.com/news/?id=p6zjojqw","discussion":"https://news.ycombinator.com/item?id=49937631"},{"title":"Muse Gadgets","points":194,"comments":85,"url":"https://gadgets.muse.ai","discussion":"https://news.ycombinator.com/item?id=49937504"},{"title":"AI Makes Me Sad","points":187,"comments":224,"url":"https://mondobe.com/ai-makes-me-sad","discussion":"https://news.ycombinator.com/item?id=49934487"},{"title":"On social reality in China","points":187,"comments":186,"url":"https://www.lesswrong.com/posts/b5cSYh4emQb2qrGmK/on-social-reality-in-china","discussion":"https://news.ycombinator.com/item?id=49932402"},{"title":"One month coding with GLM 5.3 Flash","points":161,"comments":121,"url":"https://wagtail.org/blog/one-month-on-glm-53-flash/","discussion":"https://news.ycombinator.com/item?id=49934620"},{"title":"Show HN: Audionaut – an open-source cross-platform multitrack audio editor","points":138,"comments":46,"url":"https://github.com/kvoltmer/Audionaut","discussion":"https://news.ycombinator.com/item?id=49931031"},{"title":"Every SaaS business will become a harness around a model","points":134,"comments":93,"url":"https://blog.sshh.io/p/the-harness-is-the-company","discussion":"https://news.ycombinator.com/item?id=49938616"},{"title":"Nazi Germany had no hope of making an atomic bomb, uranium cubes reveal","points":127,"comments":107,"url":"https://www.science.org/content/article/nazi-germany-had-no-hope-making-atomic-bomb-uranium-cubes-reveal","discussion":"https://news.ycombinator.com/item?id=49928963"},{"title":"Venice’s failed war against Constantinople led to the first bond market","points":121,"comments":35,"url":"https://bigthink.com/books/a-fabulous-debt/","discussion":"https://news.ycombinator.com/item?id=49933230"},{"title":"GrapheneOS has fixed the Android 17 QPR1 kernel performance regression","points":120,"comments":51,"url":"https://discuss.grapheneos.org/d/42511-grapheneos-has-fixed-the-massive-android-17-qpr1-kernel-performance-regression","discussion":"https://news.ycombinator.com/item?id=49937718"}],"research":[{"title":"VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization","abstract":"Invariance to diverse types of image corruption, such as noise, blurring, or colour shifts, is essential to establish robust models in computer vision. Data augmentation has been the major approach in improving the robustness against common corruptions. However, the samples produced by popular augmentation strategies deviate significantly from the underlying data manifold. As a result, performance is skewed toward ce","authors":["Chen, Minghui","Wen, Cheng","Zheng, Feng","He, Fengxiang","Shao, Ling"],"url":"https://arxiv.org/abs/2204.11531","arxiv_id":"2204.11531","published":"2026-10-02"},{"title":"StoCFL: A Stochastically Clustered Federated Learning Framework for Non-IID Data with Dynamic Client Participation","abstract":"Federated learning is a distributed learning framework that takes full advantage of private data samples kept on edge devices. In real-world federated learning systems, these data samples are often decentralized and Non-Independently Identically Distributed (Non-IID), causing divergence and performance degradation in the federated learning process. As a new solution, clustered federated learning groups federated clie","authors":["Zeng, Dun","Hu, Xiangjing","Liu, Shiyu","Yu, Yue","Wang, Qifan","Xu, Zenglin"],"url":"https://arxiv.org/abs/2303.00897","arxiv_id":"2303.00897","published":"2026-10-02"},{"title":"MaPa: Text-driven Photorealistic Material Painting for 3D Shapes","abstract":"This paper aims to generate materials for 3D meshes from text descriptions. Unlike existing methods that synthesize texture maps, we propose to generate segment-wise procedural material graphs as the appearance representation, which supports high-quality rendering and provides substantial flexibility in editing. Instead of relying on extensive paired data, i.e., 3D meshes with material graphs and corresponding text d","authors":["Zhang, Shangzhan","Peng, Sida","Xu, Tao","Yang, Yuanbo","Chen, Tianrun","Xue, Nan"],"url":"https://arxiv.org/abs/2404.17569","arxiv_id":"2404.17569","published":"2026-10-02"},{"title":"Exponential time differencing for matrix-valued dynamical systems","abstract":"Matrix evolution equations occur in many applications, such as dynamical Lyapunov/Sylvester systems or Riccati equations in optimization and stochastic control, machine learning or data assimilation. In many such problems, the dominant stability restriction is imposed by a stiff linear term, making standard explicit integrators impractical. Exponential time differencing (ETD) is known to produce highly stable numeric","authors":["Shkeir, Nayef","Grafke, Tobias"],"url":"https://arxiv.org/abs/2406.13761","arxiv_id":"2406.13761","published":"2026-10-02"},{"title":"Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning","abstract":"We study a structured class of Markov Decision Processes, known as Exo-MDPs, in which the state space is partitioned into exogenous and endogenous components. Exogenous states evolve stochastically, independent of the agent's actions, while endogenous states evolve deterministically based on both state components and actions. Exo-MDPs capture many operations research settings, including inventory control, resourc","authors":["Wan, Jia","Sinclair, Sean R.","Shah, Devavrat","Wainwright, Martin J."],"url":"https://arxiv.org/abs/2409.14557","arxiv_id":"2409.14557","published":"2026-10-02"},{"title":"RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations","abstract":"Anomaly detection is essential for robotic perception and industrial inspection, yet most benchmarks are collected under controlled conditions with fixed viewpoints and stable illumination. These settings do not reflect robotic deployment, where camera pose, lighting, and surface reflectance vary continuously. We present RAD (Realistic Anomaly Detection), a robot-captured multi-view benchmark for pose-agnostic anomal","authors":["Chang, Xinhai","Zhou, Kaichen","Kim, Taewhan","Zhang, Jiadong","Cao, Yang","Peng, Chufei"],"url":"https://arxiv.org/abs/2410.00713","arxiv_id":"2410.00713","published":"2026-10-02"},{"title":"Linguistic traces of stochastic empathy in language models","abstract":"Differentiating generated and human-written content is increasingly difficult. We examine how an incentive to convey humanness and task characteristics shape this human vs AI race across five studies. In Study 1-2 (n=530 and n=610) humans and a large language model (LLM) wrote relationship advice or relationship descriptions, either with or without instructions to sound human. New participants (n=428 and n=408) judge","authors":["Kleinberg, Bennett","Zegers, Jari","Festor, Jonas","Vida, Stefana","Präsent, Julian","Loconte, Riccardo"],"url":"https://arxiv.org/abs/2410.01675","arxiv_id":"2410.01675","published":"2026-10-02"},{"title":"Information propagation dynamics in Deep Graph Networks","abstract":"Graphs are a highly expressive abstraction for modeling entities and their relations, such as molecular structures, social networks, and traffic networks. Deep Graph Networks (DGNs) have emerged as a family of deep learning models that can effectively process and learn such structured information. However, learning effective information propagation patterns within DGNs remains a critical challenge that heavily influe","authors":["Gravina, Alessio"],"url":"https://arxiv.org/abs/2410.10464","arxiv_id":"2410.10464","published":"2026-10-02"},{"title":"Adaptive and oblivious statistical adversaries are equivalent","abstract":"We resolve a fundamental question about the ability to perform a statistical task, such as learning, when an adversary corrupts the sample. Such adversaries are specified by the types of corruption they can make and their level of knowledge about the sample. The latter distinguishes between sample-adaptive adversaries which know the contents of the sample when choosing the corruption, and sample-oblivious adversaries","authors":["Blanc, Guy","Valiant, Gregory"],"url":"https://arxiv.org/abs/2410.13548","arxiv_id":"2410.13548","published":"2026-10-02"},{"title":"Multi-Sensor Fusion for UAV Classification Based on Feature Maps of Image and Radar Data","abstract":"The cost, flexibility, and efficiency of modern UAVs make them attractive across many applications, but their proliferation has driven a rising number of malicious or accidental incidents, making UAV detection and classification mechanisms essential. Individual sensing modalities each present complementary limitations, and existing detection systems typically rely on a single sensor or fuse modalities only at the dec","authors":["Sakellariou, Nikos","Lalas, Antonios","Votis, Konstantinos","Tzovaras, Dimitrios"],"url":"https://arxiv.org/abs/2410.16089","arxiv_id":"2410.16089","published":"2026-10-02"},{"title":"CHORDONOMICON: A Dataset of 666,000 Songs and their Chord Progressions","abstract":"Chord progressions encapsulate important information about music, pertaining to its structure and conveyed emotions. They serve as the backbone of musical composition, and in many cases, they are the sole information required for a musician to play along and follow the music. Despite their importance, chord progressions as a data domain remain underexplored; existing datasets lack the scale, structural annotation, an","authors":["Kantarelis, Spyridon","Liolitsas, Ioannis","Thomas, Konstantinos","Lyberatos, Vassilis","Dervakos, Edmund","Stamou, Giorgos"],"url":"https://arxiv.org/abs/2410.22046","arxiv_id":"2410.22046","published":"2026-10-02"},{"title":"Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning","abstract":"Federated learning (FL) is a learning paradigm that enables collaborative training of models using decentralized data. Recently, the utilization of pre-trained weight initialization in FL has been demonstrated to effectively improve model performance. However, the evolving complexity of current pre-trained models, characterized by a substantial increase in parameters, markedly intensifies the challenges associated wi","authors":["Chen, Minghui","Jiang, Meirui","Zhang, Xin","Dou, Qi","Wang, Zehua","Li, Xiaoxiao"],"url":"https://arxiv.org/abs/2410.23660","arxiv_id":"2410.23660","published":"2026-10-02"},{"title":"Easier Said Than Done: Unpacking Intent-Behavior Gap in Jailbreaking LLM-Based Robots","abstract":"LLM-based robots use Large Language Models (LLMs) as planners to translate natural language instructions into policies such as grasp(), move_to(), and open_gripper(). Jailbreak attacks on these robots extend the threat from generating malicious content to executing harmful behaviors. However, we find that existing jailbreak attempts against LLM-based robots that produce malicious-looking policies (intent jailbreaks) ","authors":["Lu, Xuancun","Huang, Zhengxian","Li, Xinfeng","Zhang, Chi","Ji, Xiaoyu","Xu, Wenyuan"],"url":"https://arxiv.org/abs/2412.16633","arxiv_id":"2412.16633","published":"2026-10-02"},{"title":"Stochastic Optimal Control for Continuous-Time fMRI Representation Learning","abstract":"Learning robust representations from functional magnetic resonance imaging (fMRI) is fundamentally challenged by the temporal irregularity and noise inherent in data from heterogeneous sources. Existing self-supervised learning (SSL) methods often discard critical temporal information by discretizing or averaging fMRI signals. To address this, we introduce a novel framework that reframes SSL as a Stochastic Optimal C","authors":["Park, Joonhyeong","Park, Byoungwoo","Bang, Chang-Bae","Choi, Jungwon","Chung, Hyungjin","Kim, Byung-Hoon"],"url":"https://arxiv.org/abs/2502.04892","arxiv_id":"2502.04892","published":"2026-10-02"},{"title":"REVEAL: Robust Evolution of Vision-Language Models for Explainable AI-Video Detection","abstract":"The rapid advancement of AI-generated video poses challenges to digital authenticity and security. Current detection methods, often trained on specific datasets, struggle with the ever-evolving landscape of generative techniques and unseen manipulations. We introduce a framework leveraging Vision Language Models (VLMs) for robust AI-generated video detection. Our approach equips the VLM with the ability to reason abo","authors":["Tsai, Yun-Yun","Liu, Qingyuan","Zha, Ruijian","Li, Victoria","Shi, Pengyuan","Mao, Chengzhi"],"url":"https://arxiv.org/abs/2502.14994","arxiv_id":"2502.14994","published":"2026-10-02"},{"title":"PUMA: Learning a Mutation-Aware Vocabulary of Protein Units","abstract":"Modeling protein sequences as a language has made language models a powerful tool in computational biology, yet the language itself remains poorly understood. A key step toward understanding it is identifying its constituent units. In natural languages, morphemes can occur in multiple forms; similarly, in proteins, mutations can give rise to variations of a unit that persist through evolution, forming families of rel","authors":["Suyunu, Burak","Dolu, Özdeniz","Olaosebikan, Ibukunoluwa Abigail","Bristow, Hacer Karatas","Özgür, Arzucan"],"url":"https://arxiv.org/abs/2503.08838","arxiv_id":"2503.08838","published":"2026-10-02"},{"title":"Structured-Noise Masked Modeling for Video, Audio and Beyond","abstract":"Masked modeling has emerged as a robust self-supervised learning framework. However, most methods rely on random masking, which disregards the structural properties of different data modalities. To align with the spatiotemporal and spectral characteristics of video and audio data, we introduce a structured noise-based masking approach. By filtering white noise into different color noise distributions, we generate str","authors":["Bhowmik, Aritra","Hinojosa, Carlos","Thoker, Fida Mohammad","Ghanem, Bernard","Snoek, Cees G. M."],"url":"https://arxiv.org/abs/2503.16311","arxiv_id":"2503.16311","published":"2026-10-02"},{"title":"Rethinking the Global Convergence of Softmax Policy Gradient with Linear Function Approximation: The Case of Multi-Armed Bandits","abstract":"Policy gradient (PG) methods have played an essential role in the empirical successes of reinforcement learning. In order to handle large state-action spaces, PG methods are typically used with function approximation. In this setting, the approximation error in modeling problem-dependent quantities is a key notion for characterizing the global convergence of PG methods. We study Softmax PG with linear function approx","authors":["Lin, Max Qiushi","Mei, Jincheng","Aghaei, Matin","Lu, Michael","Dai, Bo","Agarwal, Alekh"],"url":"https://arxiv.org/abs/2505.03155","arxiv_id":"2505.03155","published":"2026-10-02"},{"title":"WaLLM -- Understanding Use and Engagement with a General-Purpose LLM on WhatsApp","abstract":"Large language model (LLM) chatbots are increasingly reaching users through messaging platforms (e.g. WhatsApp). However, these systems remain largely proprietary and opaque, while academic research has focused on narrow, domain-specific assistants. This leaves open questions about how people use general-purpose LLMs and how such systems should be designed. To address this gap, we developed WaLLM, a general-purpose L","authors":["Eltigani, Hiba","Haroon, Rukhshan","Kocak, Asli","Faisal, Abdullah Bin","Martin, Noah","Dogar, Fahad"],"url":"https://arxiv.org/abs/2505.08894","arxiv_id":"2505.08894","published":"2026-10-02"},{"title":"Hardening Soft Information: Evidence on Analyst Integration Costs","abstract":"We examine how the cost of transforming qualitative information into precise numerical estimates--a form of integration cost--creates a structural friction in expectations formation. To isolate this integration cost from the costs of information awareness and acquisition, we exploit sell-side analyst reports, in which the same forecaster simultaneously produces textual narratives and numerical forecasts. Because the ","authors":["Xiao, Kerry","Zang, Amy"],"url":"https://arxiv.org/abs/2505.12269","arxiv_id":"2505.12269","published":"2026-10-02"},{"title":"Meta-reinforcement learning with minimum attention","abstract":"Minimum attention applies the least action principle in changes of control concerning state and time, first proposed by Brockett. The involved regularization is highly relevant in emulating biological control, such as motor learning. We apply minimum attention in reinforcement learning (RL) as part of the rewards and investigate its connection to meta-learning and stabilization. Specifically, model-based meta-learnin","authors":["Gupta, Shashank","Lee, Pilhwa"],"url":"https://arxiv.org/abs/2505.16741","arxiv_id":"2505.16741","published":"2026-10-02"},{"title":"MMMG: a Comprehensive and Reliable Benchmark for Multitask Multimodal Generation","abstract":"Automatically evaluating multimodal generation presents a significant challenge, as automated metrics often struggle to align with human evaluation, especially for complex tasks that involve multiple modalities. We present MMMG, the first benchmark to bring the verifiable-task paradigm to multimodal generation, spanning 4 modality combinations (image, audio, interleaved text and image, interleaved text and audio). As","authors":["Yao, Jihan","Hu, Yushi","Wang, Wenyuan","Han, Bin","Feng, Shangbin","Yang, Guang"],"url":"https://arxiv.org/abs/2505.17613","arxiv_id":"2505.17613","published":"2026-10-02"},{"title":"COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classification","abstract":"We introduce CoLoRA (Convolutional Low-Rank Adaptation), a parameter-efficient fine-tuning method for convolutional neural networks (CNNs). CoLoRA extends LoRA to convolutional layers by decomposing kernel updates into lightweight depthwise and pointwise components. This design reduces the number of trainable convolutional-update parameters by over 80\\% compared with full convolutional fine-tuning, while allowing the","authors":["Rivera, Mariano","Hoyos, Angello"],"url":"https://arxiv.org/abs/2505.18315","arxiv_id":"2505.18315","published":"2026-10-02"},{"title":"WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification","abstract":"Early weed identification is crucial for effective management and control, and researchers, agronomists, and technology developers are increasingly interested in automating this process using computer vision and artificial intelligence; however, limited expert-verified data and variable morphological features have hindered the development of AI-based weed identification models. To address these issues, we present Wee","authors":["Shen, Yanben","Ayanlade, Timilehin T.","Boddepalli, Venkata Naresh","Saadati, Mojdeh","Rairdin, Ashlyn","Deng, Zi K."],"url":"https://arxiv.org/abs/2505.18930","arxiv_id":"2505.18930","published":"2026-10-02"},{"title":"A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data","abstract":"False discovery rate (FDR) control methods are essential for voxel-wise multiple testing in neuroimaging data analysis, where hundreds of thousands or even millions of tests are conducted to detect brain regions associated with disease-related changes. Classical FDR control methods (e.g., BH, q-value, and LocalFDR) assume independence among tests and often lead to high false non-discovery rates (FNR). Although variou","authors":["Kim, Taehyo","Jia, Qiran","de Leon, Mony J.","Shu, Hai"],"url":"https://arxiv.org/abs/2505.20688","arxiv_id":"2505.20688","published":"2026-10-02"}],"history":{"events":[{"year":2018,"text":"The Washington Post journalist Jamal Khashoggi was assassinated in the Saudi consulate in Istanbul, Turkey.","url":"https://en.wikipedia.org/wiki/The_Washington_Post"},{"year":2006,"text":"A gunman killed five Amish girls before committing suicide in a one-room schoolhouse in Nickel Mines, Pennsylvania.","url":"https://en.wikipedia.org/wiki/West_Nickel_Mines_School_shooting"},{"year":2005,"text":"Typhoon Longwang made landfall in China as the deadliest tropical cyclone in that year to impact the country.","url":"https://en.wikipedia.org/wiki/Typhoon_Longwang"},{"year":1990,"text":"A hijacked airliner collided with two other planes while attempting to land at Guangzhou Baiyun International Airport in China, killing 128 and injuring 71.","url":"https://en.wikipedia.org/wiki/Aircraft_hijacking"},{"year":1971,"text":"Nguyễn Văn Thiệu was re-elected unopposed as President of South Vietnam.","url":"https://en.wikipedia.org/wiki/Nguy%E1%BB%85n_V%C4%83n_Thi%E1%BB%87u"},{"year":1967,"text":"Thurgood Marshall was sworn in as the first African-American justice of the Supreme Court of the United States.","url":"https://en.wikipedia.org/wiki/Thurgood_Marshall"},{"year":1942,"text":"Second World War: HMS Curacoa (pictured) was accidentally rammed and sunk by RMS Queen Mary while escorting the liner to provide protection from submarine attacks.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1913,"text":"The Shubert Theatre (pictured) opened on Broadway with a production of Hamlet.","url":"https://en.wikipedia.org/wiki/Shubert_Theatre_(Broadway)"},{"year":1879,"text":"Qing China signed the Treaty of Livadia with the Russian Empire, but the terms were so unfavorable that the Chinese government refused to ratify the treaty.","url":"https://en.wikipedia.org/wiki/Qing_dynasty"},{"year":1835,"text":"Mexican dragoons dispatched to disarm settlers at Gonzales in Mexican Texas encountered stiff resistance from a Texian militia at the Battle of Gonzales, the first armed engagement of the Texas Revolution.","url":"https://en.wikipedia.org/wiki/Dragoon"},{"year":1766,"text":"As part of wider food riots, citizens in Nottingham, England, looted large quantities of cheese; one man was killed during attempts to restore order.","url":"https://en.wikipedia.org/wiki/1766_food_riots"},{"year":1470,"text":"With King Edward IV of England forced to flee to the Burgundian Netherlands after a rebellion organised by Richard Neville, 16th Earl of Warwick, Henry VI was restored to the throne.","url":"https://en.wikipedia.org/wiki/Edward_IV"}],"births":[{"year":2005,"text":"Sam Konstas, Australian cricketer","url":"https://en.wikipedia.org/wiki/Sam_Konstas"},{"year":2002,"text":"Jacob Sartorius, American social media personality and singer","url":"https://en.wikipedia.org/wiki/Jacob_Sartorius"},{"year":2000,"text":"Quadeca, American singer-songwriter and YouTuber","url":"https://en.wikipedia.org/wiki/Quadeca"},{"year":1996,"text":"Tom Trbojevic, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Tom_Trbojevic"},{"year":1995,"text":"Tepai Moeroa, Cook Islands rugby league player","url":"https://en.wikipedia.org/wiki/Tepai_Moeroa"},{"year":1993,"text":"Lance McCullers Jr., American baseball player","url":"https://en.wikipedia.org/wiki/Lance_McCullers_Jr."},{"year":1992,"text":"Alisson Becker, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Alisson_Becker"},{"year":1992,"text":"Shane Larkin, American-Turkish basketball player","url":"https://en.wikipedia.org/wiki/Shane_Larkin"}],"deaths":[{"year":2024,"text":"Susie Berning, American professional golfer (born 1941)","url":"https://en.wikipedia.org/wiki/Susie_Berning"},{"year":2024,"text":"Marissa Haque, Indonesian politician (born 1962)","url":"https://en.wikipedia.org/wiki/Marissa_Haque"},{"year":2023,"text":"Francis Lee, English footballer (born 1944)","url":"https://en.wikipedia.org/wiki/Francis_Lee_(footballer)"},{"year":2022,"text":"Sacheen Littlefeather, American actress, model and activist for Native American civil rights (born 1946)","url":"https://en.wikipedia.org/wiki/Sacheen_Littlefeather"},{"year":2021,"text":"Jack Biondolillo, American bowler (born 1940)","url":"https://en.wikipedia.org/wiki/Jack_Biondolillo"},{"year":2020,"text":"Anne-Marie Hutchinson, British lawyer (born 1957)","url":"https://en.wikipedia.org/wiki/Anne-Marie_Hutchinson"},{"year":2018,"text":"Jamal Khashoggi, Saudi journalist (born 1958)","url":"https://en.wikipedia.org/wiki/Jamal_Khashoggi"},{"year":2017,"text":"Tom Petty, American musician (born 1950)","url":"https://en.wikipedia.org/wiki/Tom_Petty"}]},"census":{"panel_version":2,"probed":14770,"error_rate":27.58,"degraded":false,"rates":{"head":11.8,"tail":5.3,"ai_native":74.55}},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","license":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","license":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"license":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}