{"date":"2026-09-01","schema_version":1,"captured_at":"2026-09-02T09:06:15.727Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Toxic (2026 film)","views":314205,"rank":4,"extract":"Toxic: A Fairy Tale for Grown-Ups is a 2026 Indian psychological thriller gangster film directed by Geetu Mohandas and jointly produced by Venkat K. Narayana and Yash through KVN Productions and Monster Mind Creations respectively. It stars Yash in the lead ro","url":"https://en.wikipedia.org/wiki/Toxic_(2026_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/0/0b/Toxic-_A_Fairy_Tale_for_Grown-Ups_poster.jpg/330px-Toxic-_A_Fairy_Tale_for_Grown-Ups_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Dolly Parton","views":304494,"rank":5,"extract":"Dolly Rebecca Parton Dean was an American singer-songwriter, actress and businesswoman. 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She then attempted suicide by cutting her wrists a","url":"https://en.wikipedia.org/wiki/Killing_of_the_Clancy_children","thumb":"https://upload.wikimedia.org/wikipedia/en/a/a4/Clancy_children.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":".xyz","views":221891,"rank":7,"extract":".xyz is a top-level domain name that was proposed in ICANN's new generic top-level domain (gTLD) Program for consisting of the last three letters of the Latin-script alphabet. XYZ.com and CentralNic are the registries for the domain, which was created by entre","url":"https://en.wikipedia.org/wiki/.xyz","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/f/fc/.xyz_logo.svg/330px-.xyz_logo.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Deaths in 2026","views":146262,"rank":8,"extract":"The following notable deaths occurred in 2026. Names are reported under the date of death, in alphabetical order. 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(September 2026)","points":214,"comments":238,"url":"https://news.ycombinator.com/item?id=49522897","discussion":"https://news.ycombinator.com/item?id=49522897"},{"title":"Atlas: A World Model for Spatial Intelligence","points":213,"comments":51,"url":"https://www.worldlabs.ai/blog/atlas","discussion":"https://news.ycombinator.com/item?id=49525160"},{"title":"Apple reveals 'shocking evidence' from ex-employee's MacBook in OpenAI suit","points":211,"comments":147,"url":"https://9to5mac.com/2026/08/31/apple-openai-forensic-macbook-evidence/","discussion":"https://news.ycombinator.com/item?id=49527573"},{"title":"Show HN: Running 104GB Qwen3.8-Flash-Next on 48GB Mac with at ~12 tok/s","points":205,"comments":95,"url":"https://github.com/carloslfu/slotstream","discussion":"https://news.ycombinator.com/item?id=49524447"},{"title":"FBI Probes Service Selling 153M+ Drivers Licenses","points":194,"comments":73,"url":"https://krebsonsecurity.com/2026/09/fbi-probes-service-selling-153m-drivers-licenses/","discussion":"https://news.ycombinator.com/item?id=49529621"},{"title":"My local model setup on an M4 Pro Mac Mini","points":183,"comments":101,"url":"https://lws.io/blog/my-local-model-setup/","discussion":"https://news.ycombinator.com/item?id=49529132"},{"title":"AI Can Make You Suck Faster Too","points":172,"comments":160,"url":"https://www.hermit-tech.com/blog/ai-can-make-you-suck-faster-too","discussion":"https://news.ycombinator.com/item?id=49518316"},{"title":"EFF to Courts: Don't Rewrite Copyright over AI Hype","points":162,"comments":185,"url":"https://www.eff.org/deeplinks/2026/08/eff-courts-dont-rewrite-copyright-over-ai-hype","discussion":"https://news.ycombinator.com/item?id=49521315"},{"title":"Launch HN: Nori Robotics (YC S26) – A low-cost humanoid robot for development","points":162,"comments":48,"url":"https://www.norirobotics.com/","discussion":"https://news.ycombinator.com/item?id=49525153"},{"title":"Tim Cook Sold Out Steve Jobs (2025)","points":155,"comments":224,"url":"https://www.anildash.com/2025/09/09/how-tim-cook-sold-out-steve-jobs/","discussion":"https://news.ycombinator.com/item?id=49520896"}],"research":[{"title":"Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation","abstract":"Evaluating software engineering agents on realistic benchmarks is costly, since each task may require multi-step code exploration, modification, and test execution. Existing efficient evaluation methods select representative subsets to estimate full-benchmark performance, but are largely result-only: they fit historical pass/fail response matrices or static task semantics, discarding how agents solve problems. We pro","authors":["Kefeng Duan","Dewu Zheng","Yanlin Wang","Xiwen Wang","Ensheng Shi","Xilin Liu"],"url":"https://arxiv.org/abs/2609.01603v1","arxiv_id":"2609.01603v1","published":"2026-09-01T17:59:46Z"},{"title":"Adaptive Critical Token-Aware Retrieval for Repository-Level Code Generation","abstract":"The repository-level code generation task requires synthesizing code that satisfies task requirements while remaining consistent with the target repository context. Since real-world repositories often exceed the input length limits of LLMs, existing approaches commonly adopt retrieval-augmented generation (RAG) to provide repository-specific context. Despite improving repository-context retrieval, existing methods ty","authors":["Kefeng Duan","Dewu Zheng","Yanlin Wang","Terry Yue Zhuo","Mingwei Liu","Jianxing Yu"],"url":"https://arxiv.org/abs/2609.01601v1","arxiv_id":"2609.01601v1","published":"2026-09-01T17:59:39Z"},{"title":"CordisBench: Can Language Models Reason About Component Lifecycles in Dynamic Agent Harnesses?","abstract":"Dynamic agent harnesses let language models change the software that shapes their own execution. This flexibility brings a new reasoning burden: a local plugin change can propagate through dependencies and cleanup. We introduce CordisBench, a 1,200-question benchmark of this lifecycle reasoning. It combines a controlled formal setting with programs executed against Cordis, a runtime that manages component dependencie","authors":["Damien Sileo","Dimitri Kachler"],"url":"https://arxiv.org/abs/2609.01600v1","arxiv_id":"2609.01600v1","published":"2026-09-01T17:59:13Z"},{"title":"The Rise of Verbal Reinforcement Learning","abstract":"Natural language is emerging as a primary feedback channel for improving language agents, capable of conveying intent, preferences, and causal structure in forms interpretable by both humans and modern language models. We call this paradigm Verbal Reinforcement Learning (VRL) and offer the first unified account of it. We organize the field around a single axis, \\textit{when} verbal feedback takes effect in an agent's","authors":["Kshitij Tayal","Arun Sharma","Genta Indra Winata","Anirban Das","Sambit Sahu"],"url":"https://arxiv.org/abs/2609.01597v1","arxiv_id":"2609.01597v1","published":"2026-09-01T17:58:18Z"},{"title":"Mechanism Design for Alignment and Control","abstract":"We develop a framework for mechanism design with AI agents whose alignment (preferences) and capabilities (feasible actions and information) are unknown. We want such agents to act on our behalf so mechanisms must incentivize both honesty and obedience. A one-sided imitation structure---capabilities can be concealed but not counterfeited---yields a revelation principle, a characterization of implementable policies vi","authors":["Dirk Bergemann","Andrew Koh","Stephen Morris"],"url":"https://arxiv.org/abs/2609.01595v1","arxiv_id":"2609.01595v1","published":"2026-09-01T17:57:50Z"},{"title":"Designing Proactive Thought Partners for Writing","abstract":"Writing involves diverse cognitive activities, from ideation to revision, and writers' needs vary across individuals and moments. Proactive AI promises to provide the right support at the right time, yet existing proactive tools largely focus on generic textual assistance, such as autocomplete. This paper studies the design space of proactive thought partners: AI agents that proactively offer customizable, higher-lev","authors":["Chao Zhang","Abe Davis","Chih-Wei Chen","Chin-Chia Hsu"],"url":"https://arxiv.org/abs/2609.01588v1","arxiv_id":"2609.01588v1","published":"2026-09-01T17:54:32Z"},{"title":"Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs","abstract":"How to divide a fixed annotation budget between supervised fine-tuning (SFT) and reinforcement learning (RL) during LLM post-training remains an open problem. Existing work characterizes only broad trends (e.g., SFT dominates in low-data regimes), lacks a principled allocation framework, and does not examine whether the optimal ratio transfers across model sizes. We frame this problem in terms of near-optimality: rat","authors":["Jingtan Wang","Arun Verma","Xiaoqiang Lin","Zhengyuan Liu","Nancy F. Chen","Daniela Rus"],"url":"https://arxiv.org/abs/2609.01573v1","arxiv_id":"2609.01573v1","published":"2026-09-01T17:39:55Z"},{"title":"Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers","abstract":"Vision-Language Models (VLMs) provide useful priors for interactive decision-making, but using them directly as policies is expensive and brittle: they must be queried at every step, do not improve from environment interaction, and can repeat systematic errors. We study how to learn a cheap autonomous policy from an online, expensive, and imperfect but informative VLM teacher. We propose SAGE (Selective Agent Guidanc","authors":["Matteo Merler","Giovanni Bonetta","Davide Zago","Rossella Cancelliere","Bernardo Magnini"],"url":"https://arxiv.org/abs/2609.01567v1","arxiv_id":"2609.01567v1","published":"2026-09-01T17:33:41Z"},{"title":"From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification","abstract":"Large language models (LLMs) struggle to classify text into taxonomies with many semantically similar labels, as the distinctions are domain-specific and not captured by pre-training. To handle large label spaces, a common approach retrieves top-$K$ candidate labels by embedding similarity and prompt the LLM to choose among them. However, top-$K$ retrieval reduces the number of candidates but does not help the model ","authors":["Manish Gupta","Chaitanya Giri","Jayasimha Talur"],"url":"https://arxiv.org/abs/2609.01564v1","arxiv_id":"2609.01564v1","published":"2026-09-01T17:31:02Z"},{"title":"H3-World: Turning Language Understanding into World Control","abstract":"We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world model. Our key finding is that, as large video generators become more capable, language is emerging as a natural interface for control. MiniMax-H3, for example, already supports zero-shot control of character behavior and camera motion through natural-language instructions. Building on this, H3-World tu","authors":["Danze Chen","Zeqing Wang","Ziyue Lin","Xingyi Yang","Yeying Jin"],"url":"https://arxiv.org/abs/2609.01560v1","arxiv_id":"2609.01560v1","published":"2026-09-01T17:21:40Z"},{"title":"Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories","abstract":"We evaluate embedding retrieval where surface form and meaning are pulled apart on purpose: retrieving items that share underlying structure but not wording, in two unrelated domains under one protocol, competition mathematics (MathNet-Retrieve; 500 queries, 117,088-item corpus) and embodied-agent trajectories (ALFWorld-derived; 118 queries, 336 trajectories). In mathematics the failure is complete: strict Hit@1 at t","authors":["Nabira Rashid","Manolis Kellis"],"url":"https://arxiv.org/abs/2609.01556v1","arxiv_id":"2609.01556v1","published":"2026-09-01T17:19:57Z"},{"title":"BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net","abstract":"Automated lesion segmentation in whole-body PET/CT is complicated by the variety of physiological tracer uptake patterns and by the differing appearance of lesions across tracers. The autoPET/CT V challenge addresses this by making segmentation interactive: user scribbles marking foreground and background are supplied alongside the image, and the algorithm is expected to exploit them. We present our submission, a scr","authors":["Marven Sherif","Amgad Elmasry","Youssef Ghazal","Ayman Elghotni"],"url":"https://arxiv.org/abs/2609.01554v1","arxiv_id":"2609.01554v1","published":"2026-09-01T17:19:34Z"},{"title":"Can LLMs Discover Scientific Laws in Real and Parallel Worlds?","abstract":"Scientific equation discovery has long been central to scientific progress, proceeding through iterative cycles of hypothesis generation, observational testing, and refinement under scientific constraints. As LLM capabilities advance and their role in AI for Science expands, it remains an open problem whether they can genuinely discover scientific laws and how this ability should be evaluated. Existing evaluations, h","authors":["Yiming Huang","Ziche Liu","Zhuohang Wu","Yiqian Wang","Junxia Cui","Xinkai Zou"],"url":"https://arxiv.org/abs/2609.01552v1","arxiv_id":"2609.01552v1","published":"2026-09-01T17:17:59Z"},{"title":"A Mathematical Theory of Reusable Neural Bases for Network Compression","abstract":"As large AI models become increasingly prevalent across a wide range of applications, memory cost has become a critical bottleneck in both training and inference. To mitigate this issue, we introduce the Linear Reusable Neural Bases Architecture (LRNBA), a novel framework aimed at improving parameter efficiency and reducing memory cost. Inspired by recurrent neural network (RNN) designs, the core idea of our approach","authors":["Binshuai Wang"],"url":"https://arxiv.org/abs/2609.01550v1","arxiv_id":"2609.01550v1","published":"2026-09-01T17:16:21Z"},{"title":"Can LLMs Design Video Coding Tools? A Case Study on Planar Mode","abstract":"This paper explores whether large language models (LLMs) can design video coding tools, a highly challenging task due to the intricate algorithmic coupling of tool modifications. In particular, we present an empirical case study on the Planar mode, a long-standing intra prediction tool in video coding standards. Our experiments operate within a generation-and-evaluation loop, with the LLM generating new Planar predic","authors":["Yingwen Zhang","Meng Wang","Liqiang He","Shiqi Wang"],"url":"https://arxiv.org/abs/2609.01535v1","arxiv_id":"2609.01535v1","published":"2026-09-01T17:04:47Z"},{"title":"EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation","abstract":"Scientific agents must learn not only how to reason, but also what to believe. However, existing LLM agents typically express scientific hypotheses in free-form text, leaving their beliefs implicit and difficult to test or revise. We introduce EvoSCM, which equips scientific agents with explicit structural causal models that evolve as new experimental evidence is collected. EvoSCM maintains a population of competing ","authors":["Qing Zhao","Haowei Li","Weijian Deng","Pengxu Wei","Liang Lin"],"url":"https://arxiv.org/abs/2609.01526v1","arxiv_id":"2609.01526v1","published":"2026-09-01T16:55:56Z"},{"title":"Relational-Core Graph Analytics Querying graphs at SQL scale, and why the node/edge model is a performance tax, not a truer picture of connected data","abstract":"A durable assumption holds that graph analytics requires a purpose-built graph engine, and that relational systems are ill-suited to connected data. We argue the opposite for the workloads enterprises actually run. A columnar relational engine fronted by a graph query language matches or exceeds native graph engines on analytical graph queries, and - decisively - scales past the point where in-memory graph engines fa","authors":["Gene Zhang"],"url":"https://arxiv.org/abs/2609.01525v1","arxiv_id":"2609.01525v1","published":"2026-09-01T16:55:11Z"},{"title":"When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation","abstract":"Interactive simulations increasingly evaluate policies in markets populated by language-model agents. Their outputs can look economic---prices, profits, consumer surplus, and welfare---without instantiating the behavior named in the claim. We audit this risk in a multi-turn buyer--seller testbed for configurable hotel transactions. An initial implementation reported welfare gains from two marketplace guardrails of +8","authors":["Peiying Zhu","Sidi Chang"],"url":"https://arxiv.org/abs/2609.01519v1","arxiv_id":"2609.01519v1","published":"2026-09-01T16:48:13Z"},{"title":"TempCloze: Can Video-LLMs Identify the Missing Middle?","abstract":"Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from option wording, answer correlations, or language priors. To reduce such shortcuts, we introduce TempCloze, a video cloze benchmark for evaluating visual temporal reasoning in Video-LLMs. Given the beginning and ending clips of a video, models must identify the true missing middle from four candidate","authors":["Wenqi Pei","Henry Hengyuan Zhao","Yilai Liu","Jiahao Meng","Han Chen","Ziyu Wang"],"url":"https://arxiv.org/abs/2609.01515v1","arxiv_id":"2609.01515v1","published":"2026-09-01T16:45:02Z"},{"title":"LatentPress: Context Compression Beyond Text and Vision","abstract":"Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model. We introduce LatentPress, which writes conversational histories and long documents into a third representation: continuous memory tokens that a frozen decoder reads directly through its input-embedding interface, with no text reconstruction at inference. A small reader-m","authors":["Zhengze Zhou","Hejian Sang"],"url":"https://arxiv.org/abs/2609.01507v1","arxiv_id":"2609.01507v1","published":"2026-09-01T16:38:15Z"},{"title":"Optimizing Byzantine Node Placement in Decentralized Federated Learning","abstract":"Security evaluations of decentralized federated learning (DFL) typically focus on how Byzantine participants behave, while largely overlooking which participants are compromised. Yet, because aggregation is distributed over a communication graph, the placement of Byzantine nodes determines how malicious influence propagates through the network. We therefore treat Byzantine placement as an explicit adversarial decisio","authors":["Edoardo Gabrielli","Gabriele Tolomei"],"url":"https://arxiv.org/abs/2609.01495v1","arxiv_id":"2609.01495v1","published":"2026-09-01T16:23:03Z"},{"title":"Rethinking Learnability in Offline Data-driven Optimization","abstract":"Black-Box Optimization (BBO) has found broad applications, but evolutionary algorithms and Bayesian optimization face efficiency challenges as real-world BBO problems grow increasingly complex. Data-driven optimization improves the efficiency of BBO algorithms by learning from data. Offline data-driven optimization seeks high-quality solutions using only a fixed set of previous evaluations, attracting substantial att","authors":["Chao Qian","Chen-Guang Wang","Rong-Xi Tan","Ke Xue"],"url":"https://arxiv.org/abs/2609.01493v1","arxiv_id":"2609.01493v1","published":"2026-09-01T16:22:28Z"},{"title":"GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions","abstract":"The growing rate at which LLM agents interact with one another raises key questions about language evolution in multi-LLM-agent settings, with implications for safety and monitorability as well as for linguistic accounts of LLMs. To address these questions, we introduce GlossoGen, a novel platform for studying multi-agent language evolution in complex scenarios. Within GlossoGen, we build the SaveVeyru scenario, whic","authors":["Elias Stengel-Eskin","Newton Sander","Carlos Bonetti","Sasha Boguraev","James Bowler","Hale Sirin"],"url":"https://arxiv.org/abs/2609.01491v1","arxiv_id":"2609.01491v1","published":"2026-09-01T16:22:07Z"},{"title":"Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents","abstract":"Skill-augmented agents load reusable skills as persistent runtime context, improving task performance but also giving malicious skills a durable channel for steering future actions. Such skills may leak secrets, corrupt code, bypass approvals, or stage data for exfiltration only after a concrete user task and workspace state make the unsafe action appear useful. This makes pre-install vetting insufficient and calls f","authors":["Xiaofang Yang","Ziqi Miao","Dianbo Sui","Jing Shao","Lijun Li"],"url":"https://arxiv.org/abs/2609.01487v1","arxiv_id":"2609.01487v1","published":"2026-09-01T16:19:31Z"},{"title":"Harness-of-Harness: Multi-Day Autonomous Software Development with Continual Improvement","abstract":"This paper studies autonomous software development, in which LLM-based coding agents transform high-level requirements into complete, functional, and usable software systems without human intervention. We introduce Harness-of-Harness (HoH), a framework that enables coding agents to continually improve software during autonomous development. HoH operates on existing coding-agent harnesses, and organizes their executio","authors":["Haoyang Yan","Min-le Su","Hangfan Zhang","Zhanhao Li","Chen Zhang","Shao Zhang"],"url":"https://arxiv.org/abs/2609.01481v1","arxiv_id":"2609.01481v1","published":"2026-09-01T16:17:18Z"}],"history":{"events":[{"year":2000,"text":"Speakers' Corner, a free speech area in Hong Lim Park in Singapore, was launched.","url":"https://en.wikipedia.org/wiki/Speakers'_Corner%2C_Singapore"},{"year":1973,"text":"A 76-hour multinational rescue effort off the coast of Ireland resulted in the deepest sub rescue in history.","url":"https://en.wikipedia.org/wiki/Rescue_of_Roger_Mallinson_and_Roger_Chapman"},{"year":1972,"text":"In a match widely publicized as a Cold War confrontation, American chess grandmaster Bobby Fischer became the 11th World Chess Champion with his victory over Soviet Boris Spassky.","url":"https://en.wikipedia.org/wiki/Cold_War"},{"year":1969,"text":"Muammar Gaddafi (pictured) led a coup d'état to overthrow King Idris of Libya.","url":"https://en.wikipedia.org/wiki/Muammar_Gaddafi"},{"year":1967,"text":"At an Arab League summit, eight nations issued the Khartoum Resolution, declaring that there would be \"no peace with Israel, no recognition of Israel, [and] no negotiations with it\".","url":"https://en.wikipedia.org/wiki/1967_Arab_League_summit"},{"year":1966,"text":"Rioting erupted in Dayton, Ohio, resulting in one death and the mobilization of the Ohio National Guard.","url":"https://en.wikipedia.org/wiki/1966_Dayton_race_riot"},{"year":1952,"text":"Ernest Hemingway's novel The Old Man and the Sea, which later won the Pulitzer Prize for Fiction, was first published.","url":"https://en.wikipedia.org/wiki/Ernest_Hemingway"},{"year":1939,"text":"German forces attacked multiple locations in Poland, including Wieluń and Westerplatte, starting World War II in Europe.","url":"https://en.wikipedia.org/wiki/Invasion_of_Poland"},{"year":1937,"text":"The first group of around 172,000 Koreans were deported by Soviet authorities from the Russian Far East to the Kazakh and Uzbek SSRs; around 10 to 25 percent died.","url":"https://en.wikipedia.org/wiki/Koryo-saram"},{"year":1914,"text":"The passenger pigeon, which once numbered in the billions, became extinct when the last individual died in captivity.","url":"https://en.wikipedia.org/wiki/Passenger_pigeon"},{"year":1911,"text":"Construction began on the Saline Valley salt tram, which during its operation was the steepest tram in the United States.","url":"https://en.wikipedia.org/wiki/Saline_Valley_salt_tram"},{"year":1902,"text":"The first science fiction film, titled A Trip to the Moon and based on From the Earth to the Moon by Jules Verne, was released in France.","url":"https://en.wikipedia.org/wiki/Science_fiction_film"},{"year":1872,"text":"A small British force commanded by a surgeon fought off a surprise attack by the Maya on Orange Walk Town, British Honduras.","url":"https://en.wikipedia.org/wiki/Battle_of_Orange_Walk"},{"year":1862,"text":"American Civil War: Confederate forces attacked retreating troops (map shown) of the Union army during a rainstorm in Chantilly, Virginia, but the battle ended inconclusively.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1859,"text":"A powerful solar flare caused a coronal mass ejection that struck Earth a few hours later, generating the most intense geomagnetic storm ever recorded and causing bright aurorae visible in the middle latitudes.","url":"https://en.wikipedia.org/wiki/Carrington_Event"},{"year":1804,"text":"German astronomer Karl Ludwig Harding discovered one of the largest main-belt asteroids, naming it Juno after the Roman goddess.","url":"https://en.wikipedia.org/wiki/Karl_Ludwig_Harding"},{"year":1774,"text":"Under orders from Governor Thomas Gage, British soldiers removed gunpowder from a magazine in the Province of Massachusetts Bay, which caused Patriots to prepare for war.","url":"https://en.wikipedia.org/wiki/Thomas_Gage"},{"year":1610,"text":"Claudio Monteverdi's Vespro della Beata Vergine (page pictured) was first printed in Venice, dedicated to Pope Paul V.","url":"https://en.wikipedia.org/wiki/Vespro_della_Beata_Vergine"}],"births":[{"year":2003,"text":"An Yu-jin, South Korean singer and actress","url":"https://en.wikipedia.org/wiki/An_Yu-jin"},{"year":2002,"text":"Diane Parry, French tennis player","url":"https://en.wikipedia.org/wiki/Diane_Parry"},{"year":2002,"text":"Illia Zabarnyi, Ukrainian footballer","url":"https://en.wikipedia.org/wiki/Illia_Zabarnyi"},{"year":2000,"text":"Mikhail Iakovlev, Israeli Olympic cyclist","url":"https://en.wikipedia.org/wiki/Mikhail_Iakovlev"},{"year":2000,"text":"Pratika Rawal, Indian cricketer","url":"https://en.wikipedia.org/wiki/Pratika_Rawal"},{"year":1999,"text":"Cam Reddish, American basketball player","url":"https://en.wikipedia.org/wiki/Cam_Reddish"},{"year":1998,"text":"Josh Battle, Australian rules footballer","url":"https://en.wikipedia.org/wiki/Josh_Battle"},{"year":1998,"text":"Josh Okogie, Nigerian-American basketball player","url":"https://en.wikipedia.org/wiki/Josh_Okogie"}],"deaths":[{"year":2025,"text":"Joe Bugner, Hungarian-British boxer and actor (born 1950)","url":"https://en.wikipedia.org/wiki/Joe_Bugner"},{"year":2024,"text":"Linda Deutsch, American journalist (born 1943)","url":"https://en.wikipedia.org/wiki/Linda_Deutsch"},{"year":2023,"text":"Jimmy Buffett, American singer-songwriter, musician, author and businessman (born 1946)","url":"https://en.wikipedia.org/wiki/Jimmy_Buffett"},{"year":2022,"text":"Barbara Ehrenreich, American writer and journalist (born 1941)","url":"https://en.wikipedia.org/wiki/Barbara_Ehrenreich"},{"year":2022,"text":"Yang Yongsong, Chinese major general (born 1919)","url":"https://en.wikipedia.org/wiki/Yang_Yongsong"},{"year":2020,"text":"Erick Morillo, American disc jockey and music producer (born 1971)","url":"https://en.wikipedia.org/wiki/Erick_Morillo"},{"year":2018,"text":"Randy Weston, American jazz pianist and composer (born 1926)","url":"https://en.wikipedia.org/wiki/Randy_Weston"},{"year":2015,"text":"Gurgen Dalibaltayan, Armenian general (born 1926)","url":"https://en.wikipedia.org/wiki/Gurgen_Dalibaltayan"}]},"census":{"panel_version":2,"probed":14770,"error_rate":35.19,"degraded":true,"rates":{"head":10.9,"tail":2.9,"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."}