{"date":"2026-10-26","schema_version":1,"captured_at":"2026-10-27T10:04:17.650Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":17},"attention":[{"title":"2026 Brazilian general election","views":271783,"rank":4,"extract":"General elections were held in Brazil on 4 October 2026 to elect the president, vice president, members of the National Congress, the governors, vice governors and legislative assemblies of all federative units, and the district council of Fernando de Noronha.","url":"https://en.wikipedia.org/wiki/2026_Brazilian_general_election","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/7/7f/2026_Brazil_Presidential_Elections%2C_Round_1.svg/330px-2026_Brazil_Presidential_Elections%2C_Round_1.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Serbian parliamentary election","views":242482,"rank":5,"extract":"Early parliamentary elections were held in Serbia on 25 October 2026 to elect members of the National Assembly. The elections were originally due by December 2027; Aleksandar Vučić, then the president of Serbia, dissolved the National Assembly and called the e","url":"https://en.wikipedia.org/wiki/2026_Serbian_parliamentary_election","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/6/61/2026_Serbian_Election_Map.svg/330px-2026_Serbian_Election_Map.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Clayface (film)","views":207969,"rank":6,"extract":"Clayface is a 2026 American body horror psychological thriller film based on the eponymous character from DC Comics. Directed by James Watkins from a screenplay by Mike Flanagan and Hossein Amini, it is the third film in the DC Universe (DCU). Tom Rhys Harries","url":"https://en.wikipedia.org/wiki/Clayface_(film)","thumb":"https://upload.wikimedia.org/wikipedia/en/4/4f/Clayface_%28film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Elizabeth Holmes","views":193621,"rank":7,"extract":"Elizabeth Anne Holmes is an American businesswoman convicted of fraud in connection with her health technology company Theranos. Holmes founded Theranos in 2003, and its valuation soared in the early 2010s after it claimed to have revolutionized blood testing ","url":"https://en.wikipedia.org/wiki/Elizabeth_Holmes","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/4/47/Elizabeth_Holmes_2014_%28cropped_2%29.jpg/330px-Elizabeth_Holmes_2014_%28cropped_2%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Jailer 2","views":186875,"rank":8,"extract":"Jailer 2 is a 2026 Indian Tamil-language action comedy film written and directed by Nelson Dilipkumar. 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It follows Elizabeth Holmes, the founder of the defunct health technology company Theranos, and her partner Billy Evans, who invited a film crew to ","url":"https://en.wikipedia.org/wiki/You_Can_See_Everything","thumb":"https://upload.wikimedia.org/wikipedia/en/9/9d/You_Can_See_Everything_poster.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"2026 British Columbia general election","views":141044,"rank":11,"extract":"The 2026 British Columbia general election was held on October 24, 2026, to elect members of the Legislative Assembly of 44th Parliament of the Canadian province of British Columbia. Lieutenant Governor Wendy Lisogar-Cocchia dropped the writs of election on Se","url":"https://en.wikipedia.org/wiki/2026_British_Columbia_general_election","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/8/8b/Lorne_Doerkson_on_September_28_2026_%28cropped%29.jpg/330px-Lorne_Doerkson_on_September_28_2026_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Chef Damu","views":124496,"rank":12,"extract":"Damodharan Kothandaraman, professionally known as Chef Damu, was an Indian celebrity chef. He was known for hosting numerous cooking shows and serving as a judge on popular Tamil language television programs, most notably Cooku with Comali on Star Vijay. He ho","url":"https://en.wikipedia.org/wiki/Chef_Damu","thumb":"https://upload.wikimedia.org/wikipedia/en/3/3d/Cropped_Photo_of_Chef_Damu.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Deaths in 2026","views":124466,"rank":13,"extract":"The following notable deaths occurred in 2026. Names are reported under the date of death, in alphabetical order. A typical entry reports information in the following sequence:Name, age, country of citizenship at birth, subsequent nationality, what subject was","url":"https://en.wikipedia.org/wiki/Deaths_in_2026","thumb":null},{"title":"Wildwood (film)","views":118435,"rank":14,"extract":"Wildwood is a 2026 American stop-motion animated epic dark fantasy film directed by Travis Knight and written by Chris Butler, based on the 2011 novel by Colin Meloy and Carson Ellis. 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This creates a capability asymmetry: what the retriever fails to find, even the strongest generator cannot recover. We propose DecisionRAG, which brings the capabilities of pretrained language models to retrieval using decision models that jointly evaluate candidate ","authors":["Chao Wan","Paul Jünger","Beixi Du","Bodong Liu","Navaneetha Krishnan","Kilian Q. Weinberger"],"url":"https://arxiv.org/abs/2610.35868v1","arxiv_id":"2610.35868v1","published":"2026-10-26T17:59:44Z"},{"title":"Center-of-Mass Interpretation of Evolution Strategies","abstract":"Evolution strategies (ES) update a model by sampling a population of perturbed copies, scoring each one, and moving in the reward-weighted direction of the perturbations. This update is usually presented as an estimate of a smoothed gradient. We present a geometrical interpretation of this update instead. Treat each perturbed model as a particle and its reward as the particle's mass. Before scoring, every particle ha","authors":["Akshat Gupta"],"url":"https://arxiv.org/abs/2610.35865v1","arxiv_id":"2610.35865v1","published":"2026-10-26T17:59:33Z"},{"title":"Learning Force-Reactive Humanoid Loco-Manipulation","abstract":"Many everyday tasks require controlling contact force as well as motion. On a humanoid, this force must often be coordinated across both hands and the whole body, and cannot be specified by kinematic trajectories alone. Therefore, we present FLORE, a framework for learning force-reactive humanoid loco-manipulation. We collect robot-free demonstrations using two force-sensing UMI-style handheld grippers for hand motio","authors":["Sihang Li","Xiaofeng Guo","Jinkun Cao","Charlie Cheng","Ruihan Yang","Chen Feng"],"url":"https://arxiv.org/abs/2610.35862v1","arxiv_id":"2610.35862v1","published":"2026-10-26T17:59:11Z"},{"title":"Patient-specific rubric-based evaluation of large language models across longitudinal cancer care","abstract":"Large language models (LLMs) show promise in specialty medicine, yet existing evaluations largely focus on isolated clinical encounters rather than tracking how clinical responsibilities evolve across a longitudinal care pathway. Here we introduce NPC-RubricBench, a phase-aware benchmark for evaluating multistage clinical reasoning across the cancer care continuum, using nasopharyngeal carcinoma as a defined disease ","authors":["Wei-Wei Zhang","Pengkai Wang","Yan Li","Zhijie Sang","Guan-Qun Zhou","Jun-Yan Li"],"url":"https://arxiv.org/abs/2610.35847v1","arxiv_id":"2610.35847v1","published":"2026-10-26T17:56:26Z"},{"title":"I-HITL: Inalienable Human-in-the-Loop","abstract":"Human oversight is a pillar of AI safety. It is often exercised by a human in the loop (HITL) who approves critical actions taken by an AI agent. AI agents' increasing ability to bypass guardrails, though, raises the question of how to enforce HITL robustly. We introduce the concept of inalienable human-in-the-loop (I-HITL). An I-HITL protocol ensures that an agent can initiate an action only with explicit human appr","authors":["Samuel Breckenridge","Dani Vilardell","Wenhao Wang","Fan Zhang","Ari Juels"],"url":"https://arxiv.org/abs/2610.35835v1","arxiv_id":"2610.35835v1","published":"2026-10-26T17:52:14Z"},{"title":"Profiling a Frontier Agent with EBench: From Direct Control to Harness with Policy","abstract":"Frontier multimodal large language models (MLLMs) can control robots without robot-specific training, but how their capabilities compare and interact with post-trained vision-language-action (VLA) and world action model (WAM) policies across manipulation demands remains to be thoroughly evaluated. In this report, we evaluate GPT-6-Astra on EBench as the core of an agent that controls a robot through an agent harness ","authors":["Yifei Yao","Yude Zou","Guanbo Jiao","Xing Gao","Ning Gao","Yukai Wang"],"url":"https://arxiv.org/abs/2610.35832v1","arxiv_id":"2610.35832v1","published":"2026-10-26T17:51:02Z"},{"title":"Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models","abstract":"A vulnerability costs more to fix the later it is discovered. As coding agents generate code faster than developers can review it, software needs a first line of defense screening each new function in real time. LLM agents have recently become capable of finding real-world vulnerabilities by working as a security expert would: they run analysis tools, explore the surrounding code, test hypotheses and weigh the eviden","authors":["Amine Lbath","Massih-Reza Amini"],"url":"https://arxiv.org/abs/2610.35829v1","arxiv_id":"2610.35829v1","published":"2026-10-26T17:50:09Z"},{"title":"Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent","abstract":"A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To achieve these two skills, we introduce Zero-real Agent Policy (ZAP), a recipe that teaches a small off-the-shelf vision-language model to control a robot via a simple tool harness. We use a pretrained 27B parameter model to bootstrap world understanding and reasoning, followed by supervised f","authors":["Benjamin Pikus","Daniel Saunders","Mircea Mironenco","Salman Mohammadi","Mathew Mathew","Sirou Zhu"],"url":"https://arxiv.org/abs/2610.35817v1","arxiv_id":"2610.35817v1","published":"2026-10-26T17:44:34Z"},{"title":"Learning When to Commit: Schedule Distillation for Fast Diffusion Language Models","abstract":"Diffusion large language models (dLLMs) can generate multiple tokens in parallel, but often require many decoding rounds to complete a response. Efficient generation depends not only on which tokens are easy to predict, but also on how committing to them helps predict the remaining positions. A highly predictable token may provide little useful context, while revealing a less predictable token can help several other ","authors":["Aidar Myrzakhan","Zhiqiang Shen"],"url":"https://arxiv.org/abs/2610.35804v1","arxiv_id":"2610.35804v1","published":"2026-10-26T17:35:58Z"},{"title":"Game theory of academic effort and hiring in the age of AI","abstract":"Many academic disciplines (in particular, mathematics and the theoretical sciences) face difficult questions about how to adapt their practices to the rise of highly capable artificial intelligence (AI). Before AI, a well-written research paper with a strong theoretical result acted as a reliable signal that its authors understood their field in depth. Now that AI is widely accessible, such signals have become cheape","authors":["Saptarshi Pal","Peter S. Park"],"url":"https://arxiv.org/abs/2610.35802v1","arxiv_id":"2610.35802v1","published":"2026-10-26T17:35:30Z"},{"title":"A Unified Arena for LLM Agents across Diverse Eurogame","abstract":"Interactive environments offer a practical way to evaluate large language model (LLM) agents, and competitive games extend this evaluation to decisions shaped by competing goals and other agents' choices. Yet existing evaluations confined to individual games or execution frameworks leave unclear which competitive advantages persist across settings. We introduce DECE (Diverse Eurogame Competitive Environments), a unif","authors":["Fengrui Zhang","Xiang Li","Ruomeng Ding","Jiayi Yuan","Yuchen Huang","Zhaoyang Han"],"url":"https://arxiv.org/abs/2610.35773v1","arxiv_id":"2610.35773v1","published":"2026-10-26T17:14:22Z"},{"title":"Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents","abstract":"Root cause analysis (RCA) of microservice failures has attracted many LLM agents whose investigation is hand-crafted, through standard operating procedures, fixed stages and role agents. Each is evaluated on its own data against few baselines, so it is unknown whether this design beats letting a capable model investigate on its own. We compare three simple harnesses that prescribe none of the model's calls (one call ","authors":["Tingzhu Bi","Xun Zhang","Jinglin Li","Ping Wang","Meng Ma"],"url":"https://arxiv.org/abs/2610.35767v1","arxiv_id":"2610.35767v1","published":"2026-10-26T17:12:02Z"},{"title":"Do Similarity Measures Measure Similarity? How User Activity Creates Phantom Correlation in Recommender Systems","abstract":"Item-item similarity is one of the oldest and most foundational signals in recommender systems: two items are assumed to be similar when the same users consume them. Despite the sparsity and scale of interaction data, the implicit assumption across the field is that item co-occurrence reflects genuine shared preference, capturing what users like together. In this paper, we demonstrate that a substantial fraction of o","authors":["Marco Favier","Noah Daniëls","Jens Leysen","Sander Marinus","Bart Goethals"],"url":"https://arxiv.org/abs/2610.35765v1","arxiv_id":"2610.35765v1","published":"2026-10-26T17:09:56Z"},{"title":"Beyond Physical Illness: Can Clinical Narratives Reveal Emerging Mental Health Risks in Chronically Ill Patients?","abstract":"Mental-health risks such as depression, dementia, and suicidal ideation can emerge during hospitalization among chronically ill patients and may worsen without timely recognition and intervention. However, most existing mental health studies focus on patients with established psychiatric conditions rather than patients hospitalized primarily for physical illness. In this work, we investigate whether latent mental-hea","authors":["Sudeshna Jana","Siddhartha Laha","Manjira Sinha","Tirthankar Dasgupta","Pabitra Mitra"],"url":"https://arxiv.org/abs/2610.35761v1","arxiv_id":"2610.35761v1","published":"2026-10-26T17:06:33Z"},{"title":"EEGaze: Multimodal Attention Prediction in Visual Search via EEG-Based Saliency Refinement","abstract":"Visual search is ubiquitous in daily life, from locating keys in a messy apartment to finding a tool in a cluttered workshop or an application icon on a desktop screen. While visual attention is to a large extent driven by image content, research in psychology indicates that user cognitive states have a significant influence on attention allocation. A promising way to access information about cognitive states is via ","authors":["Mansi Sharma","Dinar Orazgaliyev","Antonio Krüger","Philipp Müller"],"url":"https://arxiv.org/abs/2610.35757v1","arxiv_id":"2610.35757v1","published":"2026-10-26T17:04:04Z"},{"title":"CLOSURE: Cross-Channel Closure for Multivariate Time Series Anomaly Detection","abstract":"Multivariate time series produced by industrial installations and server clusters are under continuous monitoring, and anomaly detection is the first line of defense before a local fault escalates into a system-wide failure. In the absence of labels, the dominant paradigm trains a reconstruction model on normal data and scores the residual to reach a verdict. Recent work has steadily enriched the expressiveness of th","authors":["Fan Xu","Hao Wu","Zhi Song","Hanbo Huang","Wenzhuo Ma","Nan Wang"],"url":"https://arxiv.org/abs/2610.35753v1","arxiv_id":"2610.35753v1","published":"2026-10-26T17:02:10Z"},{"title":"Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution","abstract":"Multi-objective reinforcement learning is a fundamental problem for modern AI, with applications spanning post-training, reasoning models, and robotic control. A central challenge is to learn policies that balance competing objectives, such as helpfulness versus honesty in safety and alignment, or speed versus energy in robotics. The optimal policy can vary sharply with objective-weighting combinations, and the exten","authors":["Zhenshuo Zhang","Ruoxuan Xiong","Hongyang R. Zhang"],"url":"https://arxiv.org/abs/2610.35733v1","arxiv_id":"2610.35733v1","published":"2026-10-26T16:52:29Z"},{"title":"The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI","abstract":"The gap between AI capability deployment and safety assurance is structural and cannot be closed through internal evaluations alone. Analyzing documented harms (2017-2026) across the human lifespan reveals that disparate incidents --- from voice assistants endangering children to AI companions implicated in adolescent suicide and automated care denials for the elderly --- reflect a single failure: evaluating systems ","authors":["Casey M. Williams","Jennifer Victoria Scurrell"],"url":"https://arxiv.org/abs/2610.35725v1","arxiv_id":"2610.35725v1","published":"2026-10-26T16:44:50Z"},{"title":"Can JEV Support Clinical Trial Criteria Assessment?","abstract":"Clinical trial prescreening requires distinguishing unmet conditions from insufficient evidence in patient records. Given patient records, criterion questions, and predefined answer options, we retrospectively compared JEV, a non-generative decision model returning native option probabilities, with schema-constrained Qwen Flash across 2,048 test patient-condition pairs from TrialGPT and question-answer datasets deriv","authors":["Mengxian He","Ziyue Gao","Chun Li","Shunyi Zhang","Hao Wei","Minqing Zhang"],"url":"https://arxiv.org/abs/2610.35721v1","arxiv_id":"2610.35721v1","published":"2026-10-26T16:41:12Z"},{"title":"Audit Where Hacks Pay: Budgeted Strong-Verifier Audits Against Reward Hacking in GRPO","abstract":"Reinforcement learning with verifiable rewards trains on cheap checks, such as unit tests, that a policy can learn to game, while a stronger check is too expensive to run on every rollout. We study how to spend a limited strong-verifier budget in GRPO, separating which weakly passing rollouts to audit from what reward a caught hack receives. At a fixed policy state with centered advantages, the expected update depend","authors":["Shurun Li","Michael Hua Wang","Haibo Zeng","Long Wang"],"url":"https://arxiv.org/abs/2610.35716v1","arxiv_id":"2610.35716v1","published":"2026-10-26T16:38:14Z"},{"title":"Quantitative Generalization Bounds for Multi-Layer Transformers: A Few Long Strings can Beat Many Short Ones","abstract":"Transformer-based language models exhibit an astonishing capacity to generalize to longer and more difficult problem instances than those seen in training. However, theoretical understanding of this phenomenon still lags behind. Unlike most machine learning models, the generalisation abilities of transformers inherently require considering two axes. On one hand, one must examine in-distribution statistical generalisa","authors":["Marius Henry","Michael Rizvi-Martel","Michael Hahn"],"url":"https://arxiv.org/abs/2610.35715v1","arxiv_id":"2610.35715v1","published":"2026-10-26T16:36:27Z"},{"title":"Explainable Multimodal AI Approach to Reduce Unnecessary Breast Biopsies","abstract":"Recently, there has been rise in multimodal vision-language models for computer-aided diagnosis (CAD), yet their application in breast diagnosis, particularly for predicting biopsy outcomes remains limited. This study presents a multimodal vision-language approach, incorporating Grad-CAM as an Explainable AI (XAI) technique, to predict benign tumors in patients recommended for biopsy, especially those classified as B","authors":["Sadam Hussain","Mansoor Ali","Daly Betzabeth Avendaño-Avalos","Jose Gerardo Tamez-Peña"],"url":"https://arxiv.org/abs/2610.35704v1","arxiv_id":"2610.35704v1","published":"2026-10-26T16:29:09Z"},{"title":"MiRL: Error-Targeted Reinforcement Learning for Correcting Terminal Agent Misbehaviors","abstract":"Error-targeted learning gives a legible way to improve a model: identify specific weaknesses of the model, train the model to fix these weaknesses, and check whether the weaknesses are fixed. We study how to apply error-targeted learning to terminal agents, which solve long-horizon tasks specified in natural language by interacting with a command shell. Existing error-targeted methods are designed for single-turn tas","authors":["Runchu Tian","Zaid Khan","Zun Wang","Justin Chih-Yao Chen","Mohit Bansal"],"url":"https://arxiv.org/abs/2610.35697v1","arxiv_id":"2610.35697v1","published":"2026-10-26T16:25:05Z"},{"title":"Towards a Unified Framework of Optimal Input-Side Dimensional Configuration for Deep CTR Prediction","abstract":"Deep click-through rate (CTR) prediction has achieved substantial success through increasingly expressive feature interaction architectures. However, predictive performance also depends on how input-side information is configured before interaction modeling. Existing studies have shown that selecting informative samples, features, or embedding units can improve prediction accuracy. Nevertheless, they primarily optimi","authors":["Chaohua Yang","Fuyuan Lyu","Xing Tang","Dugang Liu","Xiuqiang He","Zhong Ming"],"url":"https://arxiv.org/abs/2610.35695v1","arxiv_id":"2610.35695v1","published":"2026-10-26T16:24:11Z"},{"title":"EvoRouter: Cost-Efficient Multi-Agent Routing via Insight-Guided On-Policy Distillation","abstract":"Serving web queries at scale with multi-agent systems requires jointly configuring large language models, collaboration modes, agent counts, interaction rounds, and skills. However, the resulting configuration space grows combinatorially, while sparse execution rewards provide limited fine-grained supervision for interdependent planning decisions. We propose EvoRouter, a self-evolving multi-agent routing framework dr","authors":["Yitao Xiao","Xu Zhang","Ye Cheng","Shaoyong Guo","Yan Sun","Ziyue Zhu"],"url":"https://arxiv.org/abs/2610.35690v1","arxiv_id":"2610.35690v1","published":"2026-10-26T16:21:00Z"}],"history":{"events":[{"year":2004,"text":"Rockstar Games released Grand Theft Auto: San Andreas, considered one of the best video games ever made, in North America.","url":"https://en.wikipedia.org/wiki/Rockstar_Games"},{"year":2001,"text":"President George W. Bush signed the Patriot Act into law, significantly expanding the authority of United States law enforcement agencies.","url":"https://en.wikipedia.org/wiki/George_W._Bush"},{"year":2000,"text":"Following protests against military leader Robert Guéï, Laurent Gbagbo (pictured) became the president of Ivory Coast.","url":"https://en.wikipedia.org/wiki/Robert_Gu%C3%A9%C3%AF"},{"year":1994,"text":"Israel and Jordan signed a peace treaty, settling relations between the two countries and pledging that neither would allow its territory to become a staging ground for military strikes by a third country.","url":"https://en.wikipedia.org/wiki/Israel%E2%80%93Jordan_peace_treaty"},{"year":1977,"text":"Somali hospital cook Ali Maow Maalin began displaying symptoms of smallpox, becoming the last person known to be naturally infected by the disease.","url":"https://en.wikipedia.org/wiki/Ali_Maow_Maalin"},{"year":1955,"text":"Ngô Đình Diệm proclaimed himself president of the newly created Republic of Vietnam after defeating former emperor Bảo Đại in a fraudulent referendum supervised by his brother Ngô Đình Nhu.","url":"https://en.wikipedia.org/wiki/Ngo_Dinh_Diem"},{"year":1921,"text":"The Chicago Theatre (pictured), the oldest surviving grand movie palace, opened.","url":"https://en.wikipedia.org/wiki/Chicago_Theatre"},{"year":1906,"text":"The Illinois Memorial, honoring Union army soldiers from Illinois who fought at the Siege of Vicksburg, was dedicated at Vicksburg National Military Park.","url":"https://en.wikipedia.org/wiki/Illinois_Memorial"},{"year":1905,"text":"The Saint Petersburg Soviet held its first meeting, becoming the first elected body in Russia to represent workers.","url":"https://en.wikipedia.org/wiki/Saint_Petersburg_Soviet"},{"year":1902,"text":"A group of Russian explorers led by Baron von Toll left their camp on Bennett Island and disappeared without a trace.","url":"https://en.wikipedia.org/wiki/Eduard_von_Toll"},{"year":1892,"text":"Ida B. Wells (pictured) began publishing her research on lynching in the United States, for which she was posthumously awarded a Pulitzer Prize in 2020.","url":"https://en.wikipedia.org/wiki/Ida_B._Wells"},{"year":1871,"text":"Liberian president Edward James Roye (pictured) was overthrown in modern Africa's first coup d'état.","url":"https://en.wikipedia.org/wiki/Edward_James_Roye"},{"year":1863,"text":"The Football Association, world's first governing body of association football, was founded in London.","url":"https://en.wikipedia.org/wiki/The_Football_Association"},{"year":1813,"text":"War of 1812: British forces and Mohawk allies under Charles de Salaberry repulsed an American attempt to invade Canada.","url":"https://en.wikipedia.org/wiki/War_of_1812"},{"year":1597,"text":"Imjin War: Thirteen Korean ships commanded by Admiral Yi Sun-sin defeated a far larger Japanese invading fleet at the Battle of Myeongnyang in the Myeongnyang Strait.","url":"https://en.wikipedia.org/wiki/Imjin_War"},{"year":1520,"text":"Charles V was crowned as Holy Roman Emperor.","url":"https://en.wikipedia.org/wiki/Charles_V%2C_Holy_Roman_Emperor"},{"year":1341,"text":"The Byzantine army proclaimed chief minister John VI Kantakouzenos as emperor, triggering a civil war between his supporters and those of John V Palaiologos, the heir to the throne.","url":"https://en.wikipedia.org/wiki/Byzantine_Empire"}],"births":[{"year":2004,"text":"Patrick Dorgu, Danish footballer","url":"https://en.wikipedia.org/wiki/Patrick_Dorgu"},{"year":2002,"text":"Lee Eunsang, South Korean singer","url":"https://en.wikipedia.org/wiki/Lee_Eun-sang_(singer)"},{"year":1997,"text":"Rhenzy Feliz, American actor and singer","url":"https://en.wikipedia.org/wiki/Rhenzy_Feliz"},{"year":1996,"text":"Rebecca Tunney, English gymnast","url":"https://en.wikipedia.org/wiki/Rebecca_Tunney"},{"year":1995,"text":"Yuta, Japanese singer","url":"https://en.wikipedia.org/wiki/Yuta_(Japanese_singer)"},{"year":1994,"text":"Waqa Blake, Fijian rugby league player","url":"https://en.wikipedia.org/wiki/Waqa_Blake"},{"year":1994,"text":"Allie DeBerry, American model and actress","url":"https://en.wikipedia.org/wiki/Allie_DeBerry"},{"year":1993,"text":"Sergey Karasev, Russian basketball player","url":"https://en.wikipedia.org/wiki/Sergey_Karasev"}],"deaths":[{"year":2025,"text":"Björn Andrésen, Swedish actor and musician (born 1955)","url":"https://en.wikipedia.org/wiki/Bj%C3%B6rn_Andr%C3%A9sen"},{"year":2021,"text":"Roh Tae-woo, South Korean general and politician, 6th President of South Korea (born 1932)","url":"https://en.wikipedia.org/wiki/Roh_Tae-woo"},{"year":2017,"text":"Ali Ashraf Darvishian, Iranian novelist, short story writer and academic. (born 1941)","url":"https://en.wikipedia.org/wiki/Ali_Ashraf_Darvishian"},{"year":2015,"text":"Willis Carto, American activist and theorist (born 1926)","url":"https://en.wikipedia.org/wiki/Willis_Carto"},{"year":2015,"text":"Leo Kadanoff, American physicist and academic (born 1937)","url":"https://en.wikipedia.org/wiki/Leo_Kadanoff"},{"year":2015,"text":"Giuseppe Nazzaro, Italian-Syrian bishop and theologian (born 1937)","url":"https://en.wikipedia.org/wiki/Giuseppe_Nazzaro"},{"year":2014,"text":"Vic Allen, English sociologist, economist, and historian (born 1923)","url":"https://en.wikipedia.org/wiki/Vic_Allen"},{"year":2014,"text":"Mo Collins, American football player and coach (born 1976)","url":"https://en.wikipedia.org/wiki/Mo_Collins_(American_football)"}]},"census":{"panel_version":2,"probed":14770,"error_rate":25.15,"degraded":false,"rates":{"head":13.5,"tail":5.2,"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."}