{"date":"2026-09-16","schema_version":1,"captured_at":"2026-09-17T09:42:43.288Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"2014 European Parliament election","views":526535,"rank":4,"extract":"The 2014 European Parliament election was held in the European Union (EU) between 22 and 25 May 2014. 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Her work includes both comedy and drama, and her accolades include eight Emmy Awards, three Actor Awards and three Golden Globe Awards, with nominations for a Grammy Award and a Tony Award.","url":"https://en.wikipedia.org/wiki/Jean_Smart","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/f/f1/Jean_Smart_by_Gage_Skidmore.jpg/330px-Jean_Smart_by_Gage_Skidmore.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"The Beast in Me (TV series)","views":87368,"rank":32,"extract":"The Beast in Me is an American psychological crime thriller television miniseries for Netflix, starring Claire Danes and Matthew Rhys. 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The preliminary count on election night indicated that the left-lean","url":"https://en.wikipedia.org/wiki/2026_Swedish_general_election","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/e/e2/Magdalena_Andersson_Gothenburg_2026-04-10_02_%28cropped%29.jpg/330px-Magdalena_Andersson_Gothenburg_2026-04-10_02_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"}],"frontier":[{"title":"Nvidia announces native GPU programming in Rust","points":677,"comments":262,"url":"https://developer.nvidia.com/blog/introducing-cuda-rust-two-tracks-for-writing-gpu-kernels/","discussion":"https://news.ycombinator.com/item?id=49724881"},{"title":"EU chief opens door for Canada to become 'associate member'","points":662,"comments":849,"url":"https://www.bbc.com/news/articles/cjwyzrr9d3dko","discussion":"https://news.ycombinator.com/item?id=49724141"},{"title":"Mistral X Mozilla: Private, Multilingual AI 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years","points":275,"comments":82,"url":"https://www.tomshardware.com/video-games/playstation/26-year-old-sony-ps2-security-chip-broken-wide-open-after-four-years-of-effort-reverse-engineering-enthusiast-successfully-unlocks-cxp102064-mechacon-chip","discussion":"https://news.ycombinator.com/item?id=49725356"},{"title":"Salesforce Global Outage","points":270,"comments":177,"url":"https://status.salesforce.com/products/all","discussion":"https://news.ycombinator.com/item?id=49724488"},{"title":"Learning Programming in an Age of LLMs","points":240,"comments":183,"url":"https://blog.ploeh.dk/2026/09/16/on-learning-programming-in-an-age-of-llms/","discussion":"https://news.ycombinator.com/item?id=49723873"},{"title":"Backups Aren't Simple","points":229,"comments":139,"url":"https://filipovski.net/2026/09/16/backups-arent-simple.html","discussion":"https://news.ycombinator.com/item?id=49732513"},{"title":"Claude Cowork and chat are now one 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LLMs","points":204,"comments":32,"url":"https://arxiv.org/abs/2609.16338","discussion":"https://news.ycombinator.com/item?id=49732931"},{"title":"Fed hikes rates as inflation worries push up bond yields","points":171,"comments":211,"url":"https://www.reuters.com/live/live-fed-rate-hike-expected-inflation-worries-push-up-bond-yields-2026-09-16/","discussion":"https://news.ycombinator.com/item?id=49731356"},{"title":"The DeepMind Institute","points":171,"comments":62,"url":"https://institute.deepmind.com/","discussion":"https://news.ycombinator.com/item?id=49727659"},{"title":"Vectorized and performance-portable Quicksort (2022)","points":169,"comments":28,"url":"https://opensource.googleblog.com/2022/06/Vectorized%20and%20performance%20portable%20Quicksort.html","discussion":"https://news.ycombinator.com/item?id=49731054"},{"title":"DeepSeek v4.1 Flash Is Now Our Best Hacking Model","points":165,"comments":66,"url":"https://enclave.ai/blog/deepseek-v41-flash-is-now-our-best-hacking-model","discussion":"https://news.ycombinator.com/item?id=49725800"},{"title":"OpenAI expands ChatGPT ads with Sponsored Agents","points":156,"comments":173,"url":"https://openai.com/index/reimagining-advertising-with-ai/","discussion":"https://news.ycombinator.com/item?id=49727041"},{"title":"ER visits for gambling disorders doubled after expanded online gambling market","points":156,"comments":148,"url":"https://temertymedicine.utoronto.ca/news/emergency-room-visits-gambling-disorders-nearly-doubled-after-expanded-online-gambling-market","discussion":"https://news.ycombinator.com/item?id=49730239"}],"research":[{"title":"Objective vs. Search: Decomposing What Makes a Good Tokeniser","abstract":"Two dominant tokenisation algorithms are used by modern language models: byte-pair encoding (BPE) and UnigramLM. These differ along two orthogonal axes: their optimisation objective (compression vs. log-likelihood) and their search procedure (bottom-up merging vs. top-down pruning). Existing comparisons confound these axes, making it unclear whether their observed differences stem from what is being optimised vs. how","authors":["Ahmetcan Yavuz","Clara Meister","Tiago Pimentel"],"url":"https://arxiv.org/abs/2609.19145v1","arxiv_id":"2609.19145v1","published":"2026-09-16T17:59:45Z"},{"title":"A Zeroth-Order Paradigm for LLM Preference Alignment","abstract":"Direct preference alignment methods are widely used to align large language models (LLMs) with human preferences because of their computational and memory efficiency. However, likelihood displacement motivates alternative ways to extract information from preference pairs with small likelihood margins. In this paper, we propose and analyze Comparison-based Preference Optimization (ComPO), a zeroth-order alignment meth","authors":["Peter Chen","Xi Chen","Wotao Yin","Tianyi Lin"],"url":"https://arxiv.org/abs/2609.19144v1","arxiv_id":"2609.19144v1","published":"2026-09-16T17:59:35Z"},{"title":"Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation","abstract":"Recent advances in video generation allow robots to learn manipulation trajectories from generated videos. However, these approaches produce purely kinematic trajectories that lack force information, causing failures in contact-rich tasks where appropriate contact forces are essential for success. In this work, we explore augmenting generated video with audio to shape a bounded, time-varying desired-force profile usi","authors":["Guanhua Ji","Tianyu Li","Dayoon Suh","Yuqian Zhang","Boyan Zhang","Nadia Figueroa"],"url":"https://arxiv.org/abs/2609.19137v1","arxiv_id":"2609.19137v1","published":"2026-09-16T17:56:44Z"},{"title":"Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments","abstract":"Language agents remain brittle in interactive environments, where success requires long-horizon state tracking, valid action execution, and recovery from failed steps. We extend SwiftSage, a dual-process agent that combines a fast action proposer with a slower planner, using two modular cognitive extensions: an Adaptive Memory Module (AMM) for salience-gated episodic storage and trigger-driven retrieval, and a Self-R","authors":["João Meneses dos Santos","Arlindo L. Oliveira"],"url":"https://arxiv.org/abs/2609.19128v1","arxiv_id":"2609.19128v1","published":"2026-09-16T17:50:42Z"},{"title":"Affora: A Design System for Agent-Friendly Interfaces","abstract":"Computer-use agents increasingly operate software designed for people, but interfaces often leave actions or task state unclear to machine readers. We present Affora, a design system that supports both readers while preserving visual freedom and familiar human workflows. Three controlled studies examine component implementations, visual variation, and interaction-design principles. Their findings inform guidance from","authors":["Jin Gao"],"url":"https://arxiv.org/abs/2609.19125v1","arxiv_id":"2609.19125v1","published":"2026-09-16T17:46:34Z"},{"title":"Flag Game: A Toy Model for Mechanistic Swarm Interpretability","abstract":"Emergent coordinated behaviors of AI agents are starting to present critical safety risks. A key phenomenon driving these behaviors is the rapid formation and spread of beliefs about the world, and mechanistic understanding is crucial for collective alignment. To this end, we introduce the Flag Game, a toy model for studying the mechanisms of collective belief formation. Concretely, a hidden country flag defines the ","authors":["Elizabeth Pavlova","Hidenori Tanaka"],"url":"https://arxiv.org/abs/2609.19124v1","arxiv_id":"2609.19124v1","published":"2026-09-16T17:46:06Z"},{"title":"rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference","abstract":"Factory work is a promising early scenario for embodied AI: assigning repetitive manual jobs to robots has clear economic payoff, and a structured station keeps the jobs tractable for current policies. Vision-Language-Action (VLA) models now dominate as the policy paradigm for these robots. The inference latency of VLA models directly affects robot responsiveness and motion smoothness. However, existing VLA inference","authors":["Kaijun Zhou","Zhiyang Li","Le Chen","Jinyu Gu"],"url":"https://arxiv.org/abs/2609.19104v1","arxiv_id":"2609.19104v1","published":"2026-09-16T17:34:43Z"},{"title":"Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria","abstract":"Artificial intelligence (AI) is increasingly integrated into healthcare systems worldwide, yet its successful clinical adoption depends critically on workforce readiness, particularly in low- and middle-income countries (LMICs) where infrastructural and training gaps persist. This cross-sectional study evaluated awareness, attitudes, preparedness, and barriers to AI adoption among 761 healthcare professionals across ","authors":["Abbas M. Rabiu","Abdulrazaq A. Zubair","Um-mulkhairi Ibrahim","Tolulope Olusuyi","Shaheeda Farouq","Safwan M. Dafi"],"url":"https://arxiv.org/abs/2609.19096v1","arxiv_id":"2609.19096v1","published":"2026-09-16T17:30:48Z"},{"title":"Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation","abstract":"Radiologists follow heterogeneous reporting practices. Two radiologists examining the same image and identifying the same clinical findings might nevertheless compose superficially distinct reports, varying in terminology, shorthand, formatting, and level of detail. These variations in reporting norms represent an under-appreciated obstacle in efforts to evaluate AI-based radiology report generation (RRG) models, whe","authors":["Daniel P. Jeong","Charles Q. Li","Hossein Hosseiny","Nitya M. Bhalla","Fatma Uyar Morency","Pradeep Ravikumar"],"url":"https://arxiv.org/abs/2609.19093v1","arxiv_id":"2609.19093v1","published":"2026-09-16T17:28:51Z"},{"title":"Securing quantum error correction against misleading advice from AI agents","abstract":"Can an attacker turn influence over an artificial intelligence (AI) adviser into a harmful quantum error-correction update? We identify an ambiguity in passive syndrome records that obstructs recovery selection, then show how additional calibration measurements support certified recovery updates under uncertainty and drift. In an odd-distance square toric code with error-free preparation, syndrome measurements, and r","authors":["A. Barış Özgüler"],"url":"https://arxiv.org/abs/2609.19090v1","arxiv_id":"2609.19090v1","published":"2026-09-16T17:26:54Z"},{"title":"MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education","abstract":"Large vision-language models have achieved remarkable progress in multi-modal understanding, yet their capabilities in educational settings remain insufficiently evaluated. In AI-assisted language learning, models must interpret artistic imagery, understand its semantic, affective, and cultural content, and reason about visual context to support meaningful interaction. However, existing benchmarks primarily focus on ","authors":["Luyao Zhu","Xun Wei Yee","Wei Li","Mun Thye Mak","Wee Siong Ng"],"url":"https://arxiv.org/abs/2609.19088v1","arxiv_id":"2609.19088v1","published":"2026-09-16T17:26:10Z"},{"title":"Probabilistic Linear Explanations","abstract":"Formal explainability provides mathematically grounded justifications for individual predictions. However, abductive explanations often exceed human cognitive limits by involving too many features, while probabilistic relaxations have remained largely limited to categorical classification. We present a unified framework for probabilistic explainability based on sparse, anchored linear models, applicable to both binar","authors":["Frederic Koriche","Jean-Marie Lagniez","Chi Tran"],"url":"https://arxiv.org/abs/2609.19077v1","arxiv_id":"2609.19077v1","published":"2026-09-16T17:18:00Z"},{"title":"Double descent is the principle of least action","abstract":"The test error of a model plotted against its number of parameters $d$ falls, peaks when the model can just fit the training data, and falls again, exhibiting the double descent phenomenon. We explain the phenomenon with statistical mechanics. The training trajectory of a stochastic gradient-based method is a particle wandering over the energy landscape of the training loss at an induced temperature $T$, and a run th","authors":["Congzhou M Sha"],"url":"https://arxiv.org/abs/2609.19076v1","arxiv_id":"2609.19076v1","published":"2026-09-16T17:17:46Z"},{"title":"RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control","abstract":"Reinforcement learning (RL) is an exciting concept as well as a remarkable success story worth sharing. However, RL builds on rather complex interactions between different objects that play out over several cycles. Such dynamics are often best explained with an easily accessible implementation. We present RLLBC-Lib, a carefully crafted code library with the goal of lowering the entry barrier for students and other le","authors":["Bernd Frauenknecht","Emma Cramer","Artur Eisele","Paul Kruse","Lukas Kesper","Jonas Hertrampf"],"url":"https://arxiv.org/abs/2609.19074v1","arxiv_id":"2609.19074v1","published":"2026-09-16T17:15:59Z"},{"title":"Social Laws for Multi-agent Coordination in Stochastic Environments","abstract":"In multi-agent environments, coordinating agents to prevent interference and ensure robust individual performance is a critical challenge. Previous research on social laws for multi-agent systems has primarily focused on deterministic, goal-based settings. This paper extends the concept of social laws to stochastic, reward-based environments, proposing a formalism for defining and verifying their robustness under var","authors":["Rolando Fernandez","Caleb Probine","Tyler Lee","Jeffrey Chen","Erez Karpas","Muhammad Arrasy Rahman"],"url":"https://arxiv.org/abs/2609.18929v1","arxiv_id":"2609.18929v1","published":"2026-09-16T17:05:03Z"},{"title":"Higher-order pruning of experts in mixture-of-experts language models","abstract":"Mixture-of-Experts (MoE) language models suffer from large parameter counts, which create a significant memory bottleneck. Expert pruning is the most direct approach for reducing this parameter count, yet existing methods make pruning decisions for each expert independently, and assume experts' contributions are purely additive. In reality, expert usage in MoEs is inherently cooperative. We derive HOPE (Higher-Order ","authors":["Alex M. Tseng","Prannay Kaul","Luca Zancato","Wei Xia","Stefano Soatto"],"url":"https://arxiv.org/abs/2609.18916v1","arxiv_id":"2609.18916v1","published":"2026-09-16T16:55:46Z"},{"title":"Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking","abstract":"Agent benchmarks are substantially more costly to evaluate than conventional LLM benchmarks. Benchmark compression is therefore a natural solution, yet existing methods primarily model redundancy in task--model final-score distributions, which is important in agentic evaluation. To address this limitation, we analyze large-scale trajectories and identify six complementary process signals that are systematically assoc","authors":["Xinshuai Guo","Junjie Wu","Dolly Deng","Yinghui Li","Hai-Tao Zheng","Suncong Zheng"],"url":"https://arxiv.org/abs/2609.18909v1","arxiv_id":"2609.18909v1","published":"2026-09-16T16:49:50Z"},{"title":"ASLEval: Measuring Privacy Exposure Displacement in LLM Agent Sessions","abstract":"Privacy evaluations of tool-using LLM agents often inspect a designated action, final response, or attacker report. These local proxies can miss unauthorized exposure elsewhere in a multi-step session and lack common ground truth across outlets, reports, and tool paths. We introduce privacy exposure displacement, the mismatch between a local evaluation proxy and target-grounded session exposure, and ASLEval, an autho","authors":["Guosen Wu","Huizhen Huang","Guoxiong Long","Tao Huang","Chen Hou"],"url":"https://arxiv.org/abs/2609.18864v1","arxiv_id":"2609.18864v1","published":"2026-09-16T16:03:11Z"},{"title":"Decodable but Misrouted: Sparse Features Uncover a Readout Gap in Vision-Language Models for Harmful Meme Detection","abstract":"When a large vision-language model misclassifies a harmful meme, the failure may reflect missing internal evidence or an inability to route represented evidence to its output. We distinguish these cases in Gemma-3 and Qwen3.5 using sparse autoencoders, role-conditioned probes, causal interventions, and recovery experiments across six harmful content benchmarks, with additional Spanish and Hindi-English code-mixed eva","authors":["Girish A. Koushik","Diptesh Kanojia","Helen Treharne"],"url":"https://arxiv.org/abs/2609.18860v1","arxiv_id":"2609.18860v1","published":"2026-09-16T16:00:36Z"},{"title":"Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN","abstract":"The O-RAN control plane is becoming agentic: autonomous AI agents, deployed as rApps by different vendors, independently close control loops over shared radio resources. We demonstrate on a live O-RAN system that this independence is unsafe. Two agents with individually correct objectives, one protecting a latency SLA and one maximizing utilization for energy efficiency, jointly drive recurring opposing excursions of","authors":["Seyed Bagher Hashemi Natanzi","Bo Tang"],"url":"https://arxiv.org/abs/2609.18857v1","arxiv_id":"2609.18857v1","published":"2026-09-16T15:59:44Z"},{"title":"GrainSpeech: Less Context, More Detail for Compact Speech Synthesis","abstract":"Compact acoustic models face a challenging quality-capacity trade-off. We investigate two factors in this regime: encoder context and Mel-spectrogram supervision. A receptive-field-scaling study shows that expanding self-attention beyond 15 phonemes provides no consistent gains in pitch, energy, or duration prediction. Guided by this finding, we introduce a fixed-receptive-field convolutional encoder that reduces the","authors":["Zitao Liang","Chang Gao"],"url":"https://arxiv.org/abs/2609.18856v1","arxiv_id":"2609.18856v1","published":"2026-09-16T15:59:20Z"},{"title":"Ask the Tool, Don't Guess: Agent Tool Calls Hold Their Progress, and the Serving System Should Read It","abstract":"An agentic request spends substantial wall-clock time waiting for tools, and its KV cache holds GPU memory the whole time. Serving systems decide whether that cache stays, leaves, or comes back by guessing how long the tool will run, from the tool's name, its history, a duration declared before the call, or the engine's own occupancy. We show that no estimate fixed before a call starts can know its duration, and such","authors":["Yipeng Liu","Yingqiang Zhang","Feifei Li","Huanchen Zhang"],"url":"https://arxiv.org/abs/2609.18849v1","arxiv_id":"2609.18849v1","published":"2026-09-16T15:54:34Z"},{"title":"Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data","abstract":"The scaling laws hold that a language model grows more capable with more parameters and more training data, and Mixture-of-Experts (MoE) architectures have ridden these laws to remarkable results, activating only a fraction of an enormous stored parameter bank for each token. That success is built on static pretraining data. A deployed model faces a different world, where much of the data that would make it more usef","authors":["Jinli Hu","Ross M. Clarke","Yichuan Zhang","José Miguel Hernández-Lobato"],"url":"https://arxiv.org/abs/2609.18842v1","arxiv_id":"2609.18842v1","published":"2026-09-16T15:49:34Z"},{"title":"Using OCR Heads to Verbalize Image Semantics","abstract":"How do VLMs map from pixels to semantics? To understand this general question, we focus on a narrow one: studying how VLMs perform optical character recognition (OCR). Across four models, we identify attention heads causally necessary for OCR, and discover that these are in fact general-purpose heads that output interpretable semantic features across all image tokens. For example, pointing these heads at an image tok","authors":["Sheridan Feucht","Benno Krojer","Sarah Wang","Henry Abrahamsen","Byron C. Wallace","David Bau"],"url":"https://arxiv.org/abs/2609.18823v1","arxiv_id":"2609.18823v1","published":"2026-09-16T15:30:17Z"},{"title":"Compositional Policy Violations: When Step-Level Compliance Fails In Agentic AI Workflows","abstract":"Agentic workflows now make consequential decisions in regulated settings, and the governance placed around them is almost entirely step-scoped: input-output classifiers, per turn rails, and span-level evaluators. The policies organizations actually hold, such as referral thresholds, authority limits, and review requirements, are properties of the whole execution rather than of any one step. This mismatch admits a fai","authors":["Ashwini Kurady","Sri Sai Charith Grandhi","Rajesh Gupta","Sumit Mamoria"],"url":"https://arxiv.org/abs/2609.18820v1","arxiv_id":"2609.18820v1","published":"2026-09-16T15:27:33Z"}],"history":{"events":[{"year":2013,"text":"A lone gunman fatally shot twelve people and injured three others at the headquarters of the Naval Sea Systems Command in Washington, D.C.","url":"https://en.wikipedia.org/wiki/Washington_Navy_Yard_shooting"},{"year":2007,"text":"Seventeen Iraqi civilians were shot and killed by Academi guards in Baghdad.","url":"https://en.wikipedia.org/wiki/Nisour_Square_massacre"},{"year":2007,"text":"One-Two-Go Airlines Flight 269 crashed after attempting a poorly executed go-around while landing in Thailand, killing 90 of the 130 people on board.","url":"https://en.wikipedia.org/wiki/One-Two-Go_Airlines_Flight_269"},{"year":1992,"text":"The British pound (coin pictured) was forced out of the European Exchange Rate Mechanism on Black Wednesday and suffered a major devaluation.","url":"https://en.wikipedia.org/wiki/Pound_sterling"},{"year":1989,"text":"During a tour of the United States, Soviet politician Boris Yeltsin visited a grocery store in Texas that had a major impact on his views regarding the Soviet Union's economic system.","url":"https://en.wikipedia.org/wiki/Boris_Yeltsin"},{"year":1982,"text":"A Lebanese militia under the direct command of Elie Hobeika carried out a massacre in the Palestinian refugee camp of Sabra and Shatila, killing at least 460 civilians.","url":"https://en.wikipedia.org/wiki/Elie_Hobeika"},{"year":1979,"text":"Eight people escaped from East Germany to West Germany in a home-made hot air balloon.","url":"https://en.wikipedia.org/wiki/East_Germany_balloon_escape"},{"year":1975,"text":"The prototype of the Soviet Mikoyan MiG-31, one of the fastest combat jets in the world, made its maiden flight.","url":"https://en.wikipedia.org/wiki/Mikoyan_MiG-31"},{"year":1963,"text":"Malaysia was formed as an independent nation from the Federation of Malaya, the State of Singapore, the Crown Colony of North Borneo, and the Crown Colony of Sarawak.","url":"https://en.wikipedia.org/wiki/Malaysia"},{"year":1961,"text":"The U.S. National Hurricane Research Project sought to weaken Hurricane Esther by seeding it with silver iodide, leading to the establishment of Project Stormfury.","url":"https://en.wikipedia.org/wiki/National_Hurricane_Research_Project"},{"year":1961,"text":"Typhoon Nancy (pictured), which possibly had the strongest winds ever measured in a tropical cyclone, made landfall in Muroto, Japan.","url":"https://en.wikipedia.org/wiki/Typhoon_Nancy_(1961)"},{"year":1940,"text":"Second World War: Italian forces captured the town of Sidi Barrani, but their invasion of Egypt progressed no further.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1920,"text":"A bomb in a horse-drawn wagon exploded in front of 23 Wall Street in New York City, killing 38 people and injuring several hundred others.","url":"https://en.wikipedia.org/wiki/Wall_Street_bombing"},{"year":1844,"text":"Felix Mendelssohn completed the score of his Violin Concerto, his final concerto.","url":"https://en.wikipedia.org/wiki/Felix_Mendelssohn"},{"year":1776,"text":"American Revolutionary War: American colonists defeated British troops at the Battle of Harlem Heights on the island of Manhattan.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":681,"text":"Pope Honorius I was posthumously excommunicated at the Third Council of Constantinople, with his support for monothelitism deemed to be heretical.","url":"https://en.wikipedia.org/wiki/Pope_Honorius_I"}],"births":[{"year":2003,"text":"Toby Couchman, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Toby_Couchman"},{"year":2001,"text":"Avishag Semberg, Israeli Olympic taekwondo bronze medalist","url":"https://en.wikipedia.org/wiki/Avishag_Semberg"},{"year":2000,"text":"Sam Howell, American football player","url":"https://en.wikipedia.org/wiki/Sam_Howell"},{"year":2000,"text":"Oliver Skipp, English footballer","url":"https://en.wikipedia.org/wiki/Oliver_Skipp"},{"year":1999,"text":"Brady Tkachuk, American ice hockey player","url":"https://en.wikipedia.org/wiki/Brady_Tkachuk"},{"year":1997,"text":"Clint Ratkovich, American football player","url":"https://en.wikipedia.org/wiki/Clint_Ratkovich"},{"year":1997,"text":"Anairis Quiñones, American voice actress","url":"https://en.wikipedia.org/wiki/Anairis_Qui%C3%B1ones"},{"year":1997,"text":"Jackie Young, American basketball player","url":"https://en.wikipedia.org/wiki/Jackie_Young"}],"deaths":[{"year":2025,"text":"Robert Redford, American actor, producer and director (born 1936)","url":"https://en.wikipedia.org/wiki/Robert_Redford"},{"year":2024,"text":"Song Binbin, Chinese revolutionary (born 1947)","url":"https://en.wikipedia.org/wiki/Song_Binbin"},{"year":2021,"text":"Jane Powell, American actress (born 1929)","url":"https://en.wikipedia.org/wiki/Jane_Powell"},{"year":2021,"text":"Clive Sinclair, English entrepreneur and inventor (born 1940)","url":"https://en.wikipedia.org/wiki/Clive_Sinclair"},{"year":2020,"text":"Maxim Martsinkevich, Russian social activist and media personality (born 1984)","url":"https://en.wikipedia.org/wiki/Maxim_Martsinkevich"},{"year":2019,"text":"H. S. Dillon, Indonesian politician and human rights defender (born 1945)","url":"https://en.wikipedia.org/wiki/H._S._Dillon"},{"year":2018,"text":"James Burdette Thayer, American brigadier general (born 1920)","url":"https://en.wikipedia.org/wiki/James_B._Thayer"},{"year":2017,"text":"Marcelo Rezende, Brazilian journalist (born 1951)","url":"https://en.wikipedia.org/wiki/Marcelo_Rezende"}]},"census":{"panel_version":2,"probed":14770,"error_rate":20.3,"degraded":false,"rates":{"head":11.6,"tail":5.4,"ai_native":75.45}},"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."}