{"date":"2026-09-24","schema_version":1,"captured_at":"2026-09-25T09:52:04.070Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":17},"attention":[{"title":"Lizzie Borden","views":586575,"rank":4,"extract":"Lizzie Andrew Borden was an American woman who was tried and acquitted of the murders of her father and stepmother in Fall River, Massachusetts. No other individuals were charged with the murders.","url":"https://en.wikipedia.org/wiki/Lizzie_Borden","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/7/71/Lizzie_Borden_1890.jpg/330px-Lizzie_Borden_1890.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Elizabeth Holmes","views":184994,"rank":5,"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/d/da/Elizabeth_Holmes_2014_cropped.jpg/330px-Elizabeth_Holmes_2014_cropped.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Asian Games","views":163446,"rank":6,"extract":"The 2026 Asian Games , officially the XX Asian Games (第二十回アジア競技大会) and also known as Aichi–Nagoya 2026 (愛知・名古屋2026), is an ongoing multi-sport event being held in Aichi Prefecture in Japan from 19 September to 4 October 2026 though several competitions started","url":"https://en.wikipedia.org/wiki/2026_Asian_Games","thumb":"https://thumb.wikimedia.org/wikipedia/en/thumb/4/4d/2026_Asian_Games_logo.svg/330px-2026_Asian_Games_logo.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Aileen Wuornos","views":160292,"rank":7,"extract":"Aileen Carol Wuornos was an American serial killer. 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center","points":142,"comments":137,"url":"https://www.bloomberg.com/news/articles/2026-09-24/oracle-cites-force-majeure-to-shield-itself-on-controversial-data-center","discussion":"https://news.ycombinator.com/item?id=49830037"}],"research":[{"title":"LLM Agents Can Easily Tamper With Their Own Traces","abstract":"Asynchronous monitoring, incident investigations, and compliance audits primarily rely on agent traces to reconstruct what happened. These analyses assume that LLM agents cannot tamper with their own execution traces. We show that local LLM agents such as Claude Code, Codex, Antigravity, Open Code and Grok Build fail to enforce this boundary. All tested harnesses, except Muse Code, allowed agents to delete their trac","authors":["Jeremy Qin","David Schmotz","Derck Prinzhorn","Luca Beurer-Kellner","Ameya Prabhu","Maksym Andriushchenko"],"url":"https://arxiv.org/abs/2609.30266v1","arxiv_id":"2609.30266v1","published":"2026-09-24T17:59:54Z"},{"title":"AD-WM: Action-Discriminative World Models for Counterfactual Model Predictive Control","abstract":"Latent world models are typically trained to predict factual transitions, whereas model predictive control (MPC) must compare alternative actions from the same state. A model can therefore achieve low factual prediction error yet poorly distinguish candidate actions. We introduce AD-WM, an action-discriminative joint-embedding world model for counterfactual MPC. AD-WM combines residual latent dynamics with predictor-","authors":["Jiabin Qiu","Zixuan Chen","Hongye Cao","Jieqi Shi","Jing Huo","Yang Gao"],"url":"https://arxiv.org/abs/2609.30264v1","arxiv_id":"2609.30264v1","published":"2026-09-24T17:59:41Z"},{"title":"RAPID: Robot Agentic Programming from Demonstrations","abstract":"Coding agents have demonstrated enormous success in solving complex programming problems. To leverage their potential for robot systems, this work introduces Robot Agentic Programming from Demonstrations (RAPID), which automatically generates, verifies, and refines robot programs, given a single visual human demonstration. The iterative agentic loop of code refinement requires several key ingredients: (i) a testable ","authors":["Yuyao Liu","Jiayuan Mao","David Hsu","Leslie Pack Kaelbling","Tomás Lozano-Pérez"],"url":"https://arxiv.org/abs/2609.30249v1","arxiv_id":"2609.30249v1","published":"2026-09-24T17:58:21Z"},{"title":"Rolling-WAM: World Action Models with Rolling Imagination","abstract":"World Action Models (WAMs) couple action generation with future visual prediction for robotic manipulation. However, completing the joint video-action denoising process at each replanning cycle incurs substantial latency, delaying action updates and limiting closed-loop responsiveness. We present Rolling-WAM, a formulation that distributes joint denoising across successive replanning cycles. Our method maintains a sl","authors":["Yinghua Zhou","Junjie Ye","Yiqi Zhao","Hao Dong","Celina Shiyu Wang","Ruohai Ge"],"url":"https://arxiv.org/abs/2609.30247v1","arxiv_id":"2609.30247v1","published":"2026-09-24T17:58:03Z"},{"title":"Coding Agents for Generalized Task and Motion Planning Problems","abstract":"Task and motion planning (TAMP) problems remain difficult even with full observability and object-centric states because discrete decisions are tightly coupled to geometric, kinematic, and dynamic constraints. Generalized TAMP addresses this difficulty by exploiting regularities across problem instances to reduce planning effort on new instances. However, existing methods require substantial TAMP-specific engineering","authors":["Matteo Merler","Bowen Li","Josh Roy","Yichao Liang","Qianwei Wang","Yixuan Huang"],"url":"https://arxiv.org/abs/2609.30233v1","arxiv_id":"2609.30233v1","published":"2026-09-24T17:53:35Z"},{"title":"To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech","abstract":"Online misinformation increasingly appears in spoken formats such as news clips, podcasts, interviews, political speeches, and social media videos, creating a need for fact-checking systems that can verify claims directly from speech. We introduce VeriSpeak, a probe benchmark for studying speech-based fact verification in Large Audio Language Models (LALMs). VeriSpeak contains 3,879 spoken claims spanning temporal, g","authors":["Debajyoti Mazumder","Mamta","Abhirama Subramanyam Penamakuri"],"url":"https://arxiv.org/abs/2609.30227v1","arxiv_id":"2609.30227v1","published":"2026-09-24T17:50:40Z"},{"title":"PoEM: Predicting RL Outcomes from Existing Policies","abstract":"Foundation models are post-trained with reinforcement learning (RL) to maximize specific rewards, such as human alignment, correctness, or instruction following. This post-training process is computationally intensive, sometimes unstable, and has to be run from scratch every time the reward model changes or when we want to combine multiple rewards. We hence ask: given a new reward function, is it possible to predict ","authors":["Kimia Hamidieh","Giannis Daras","Antonio Torralba"],"url":"https://arxiv.org/abs/2609.30226v1","arxiv_id":"2609.30226v1","published":"2026-09-24T17:50:25Z"},{"title":"TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations","abstract":"Existing point tracking models face a fundamental tradeoff: they can either track a sparse set of query points over long horizons, or track all points across only short clips. We introduce TrackEverything, a 3D point tracker that breaks this trade-off by representing videos as persistent 3D scene tracks in world coordinates. Grounded in the insight that videos are 2D projections of an underlying 3D world, TrackEveryt","authors":["Ayush Jain","Sreeharsha Paruchuri","Ishita Gupta","Fan Zhang","Tanner Schmidt","Jakob Engel"],"url":"https://arxiv.org/abs/2609.30222v1","arxiv_id":"2609.30222v1","published":"2026-09-24T17:48:20Z"},{"title":"Requirement-Bound Verified Commissioning: A Frozen Four-Billion-Parameter Local Model as a Candidate Generator under an External Acceptance Layer with Verification and Release Authority","abstract":"An acceptance protocol is developed for sensor-coordinate and polarity binding in mechatronic commissioning. Candidate generation is separated from release authority. Requirements unsupported by a deterministic parser are routed to a frozen local language model with four billion parameters. Plans are released only when both facts can be derived by an external gate under a sealed grammar. One canonical answer is reque","authors":["Mehmet Iscan"],"url":"https://arxiv.org/abs/2609.30219v1","arxiv_id":"2609.30219v1","published":"2026-09-24T17:46:53Z"},{"title":"Minimally Invasive Steering of Language Models","abstract":"Pre-logit steering adapts a frozen language model to a test-time reward by adding vectors to its final hidden states. Unregularized reward optimization can substantially alter the output distribution and degrade generation quality. We propose Minimally Invasive Steering Vector Optimization (MISVO), which penalizes interventions using the local KL geometry of the induced token distribution. The resulting Fisher quadra","authors":["Taha Entesari","Jingyu Zhang","Daniel Khashabi","Mahyar Fazlyab"],"url":"https://arxiv.org/abs/2609.30218v1","arxiv_id":"2609.30218v1","published":"2026-09-24T17:46:46Z"},{"title":"Instrumental Monitor Evasion Emerges Under Ordinary Task Pressure","abstract":"A central concern in AI safety is that agents may treat oversight as an obstacle when it conflicts with completing their goals. We study instrumental evasion, the propensity of LLM agents to circumvent runtime monitoring as a means of completing ordinary tasks. We introduce EvasionBench, a benchmark of 50 diverse task-policy pairs in which completing the task requires an operation prohibited by a runtime monitor. Age","authors":["David Schmotz","Derck Prinzhorn","Luca Beurer-Kellner","Anselm Paulus","Ameya Prabhu","Maksym Andriushchenko"],"url":"https://arxiv.org/abs/2609.30217v1","arxiv_id":"2609.30217v1","published":"2026-09-24T17:46:27Z"},{"title":"Underwater C3-JEPA: An Object-Centric Cross-View World Model for ROV Salvage","abstract":"We present Underwater C$^{3}$-JEPA (cross-view, control-conditioned, context-extended), an object-centric multi-view predictive world model for near-field heavy-load underwater ROV salvage. Without contact sensors, it predicts in latent space how the task-object state evolves through contact interaction and under the hydrodynamic lag of the vehicle, from synchronized multi-view RGB observations and vehicle control si","authors":["Yuncong Yang","Jinlong Li","Yulong Xue","Feng Wu","Chunwen Zhang","Lei Qiao"],"url":"https://arxiv.org/abs/2609.30214v1","arxiv_id":"2609.30214v1","published":"2026-09-24T17:45:42Z"},{"title":"A Living Benchmark for Information Retrieval from Electronic Health Records","abstract":"Large language model (LLM)-based clinical assistants are increasingly being integrated into electronic health record (EHR) systems, transforming how clinicians retrieve and synthesize information from patient records. Their safety and utility depend on rigorous evaluation, yet existing benchmarks are manually curated, costly to update, and rapidly become obsolete with evolving technological advancements. We present a","authors":["Jordan L. Cahoon","Chloe O. Stanwyck","Sulaiman Somani","Philip Chung","Kevin R Keet","Kameron C. Black"],"url":"https://arxiv.org/abs/2609.30205v1","arxiv_id":"2609.30205v1","published":"2026-09-24T17:41:16Z"},{"title":"ExplorationBench: Measuring AI Systems' Exploration in Verifiable Alien Worlds","abstract":"Scientific discovery begins where known problems end. There, AI systems must engage in exploration: framing hypotheses, designing experiments, and iterating on the results. However, evaluating this ability is difficult: (1) how to verify whether a genuinely new hypothesis holds, and (2) how to determine whether a system has discovered it through exploration or merely recalled related knowledge from pre-training data.","authors":["Ming Zhang","Zhenghao Xiang","Peizhong Gao","Yujiong Shen","Yuhui Wang","Zhonghan Yue"],"url":"https://arxiv.org/abs/2609.30199v1","arxiv_id":"2609.30199v1","published":"2026-09-24T17:37:14Z"},{"title":"SAGE: Mitigating Long-Horizon Reasoning Biases via Topological Guidance","abstract":"Long-horizon reasoning remains a central challenge for large language models (LLMs) under sparse-reward regimes. We argue that this brittleness arises from two biases induced by complex reasoning spaces: an exploration bias, where models are drawn toward locally plausible but structurally unstable branches, and a compounding bias, where small local deviations accumulate across depth and suppress rare rewards. We intr","authors":["Xinyue Zeng","Jiawei Zhang","Yujun Yan","Dawei Zhou"],"url":"https://arxiv.org/abs/2609.30192v1","arxiv_id":"2609.30192v1","published":"2026-09-24T17:33:29Z"},{"title":"Jev-Mobile: Jev as an Executor for Mobile GUI Agents","abstract":"Vision-language models (VLMs) have become a common foundation for autonomous mobile GUI agents, but most existing systems rely on the VLM for both planning and action grounding at nearly every interaction step, leading to substantial latency and model-serving cost. We introduce Jev-Mobile, which shifts this paradigm to low-frequency VLM planning and high-frequency lightweight execution: the VLM specifies local goals,","authors":["Linghua Zhang"],"url":"https://arxiv.org/abs/2609.30186v1","arxiv_id":"2609.30186v1","published":"2026-09-24T17:30:32Z"},{"title":"Search-Aware Reinforcement Learning for Multi-Component Query Understanding in Roblox Game Search","abstract":"Query understanding (QU) plays a critical role in production search systems, translating raw user queries into search execution plans that drive downstream retrieval and ranking. While large language models (LLMs) have enabled QU to be framed as a structured multi-task generation problem (e.g., intent classification, query expansion), optimizing such models to produce search-engine-coupled outputs remains challenging","authors":["Nayoung Choi","Shengjian Chen","Xiaokai Wei","Wenzheng Zhang","Daiyao Yi","Rachit Pareek"],"url":"https://arxiv.org/abs/2609.30177v1","arxiv_id":"2609.30177v1","published":"2026-09-24T17:26:46Z"},{"title":"Does a model's stated reason for rejecting a candidate do any work?","abstract":"Asked to choose between candidates and explain the choice, a language model often rejects a rival by naming a fact its profile lacks: no director, no date of death. That sentence is a claim about the text in front of the model, and it can be tested without any judge. We insert a real corpus sentence stating the named fact into the rival's profile and ask again under greedy decoding. Two controls separate content from","authors":["Archit Rastogi"],"url":"https://arxiv.org/abs/2609.30151v1","arxiv_id":"2609.30151v1","published":"2026-09-24T17:13:35Z"},{"title":"GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI","abstract":"Large Language Models (LLMs) typically exhibit a performance profile where reliability degrades as task complexity increases. We address the challenge of generating high-quality natural language executable plans for complex tasks by introducing $\\textbf{GRASP}$, a strategy-aware, multi-stage planning framework. GRASP decouples the planning pipeline across specialized, context-isolated modules: it pre-compiles global ","authors":["Arunabh Srivastava","Mohammad A.","Khojastepour","Srimat Chakradhar","Sennur Ulukus"],"url":"https://arxiv.org/abs/2609.30147v1","arxiv_id":"2609.30147v1","published":"2026-09-24T17:11:35Z"},{"title":"EnigmaForge: The Question Is Hidden in the Story","abstract":"Most benchmarks hand the model a question. EnigmaForge hands it a stack of old documents and no question at all. Buried in the letters, receipts, and logbook margins is a small logic puzzle whose solution is unique - proved by a SAT solver at generation time, with an ablation certificate showing every clue is load-bearing. Because instances are generated rather than collected, the corpus renews forever. The headline ","authors":["Daniel Eisner"],"url":"https://arxiv.org/abs/2609.30144v1","arxiv_id":"2609.30144v1","published":"2026-09-24T17:10:03Z"},{"title":"Screen Before You Serve: Simulation for Production Customer Experience AI Agents at 140M Scale","abstract":"Customer experience (CX) agents use tools and large language models to address customer requests and guide conversational interactions with an organization's products. Improving these agents, especially in regulated industries, is difficult: they must detect intent, follow complex operational policies and use tools reliably. Manual end-to-end testing offers limited coverage, while live experiments expose customers to","authors":["Edesio Alcoba","Kevin Rossell","Aman Gupta","Shao Tang","Jiwoo Hong","Pabel Carrillo-Mendoza"],"url":"https://arxiv.org/abs/2609.30137v1","arxiv_id":"2609.30137v1","published":"2026-09-24T17:07:38Z"},{"title":"HEXIS: Compiling Skills into Extended Finite State Machines","abstract":"Agent skills provide reusable knowledge and instructions, yet agents must repeatedly infer how to apply them and which operation should follow. This couples task reasoning with control decisions, allowing prescribed steps to be omitted or applied incorrectly. We introduce HEXIS, which compiles agent skills into extended finite state machines that separate knowledge from control flow. Skill knowledge is incorporated i","authors":["Minghao LI"],"url":"https://arxiv.org/abs/2609.30123v1","arxiv_id":"2609.30123v1","published":"2026-09-24T16:58:18Z"},{"title":"R-DEIM Net: An Efficient Rationale-Augmented Dual-Expert Interaction Model for Paraphrase Detection","abstract":"Recent advances in paraphrase detection reveal a fundamental trade-off: large language models achieve high accuracy but require high computation, while efficient Siamese-BERT variants offer practical scalability with reduced transparency in rationale generation. We present R-DEIM Net, a 76M-parameter dual-expert architecture exploring whether moderate-scale models can achieve competitive accuracy on paraphrase detect","authors":["Pushp","Vaibhav Prajapati","Himangshu Sarma"],"url":"https://arxiv.org/abs/2609.30100v1","arxiv_id":"2609.30100v1","published":"2026-09-24T16:44:26Z"},{"title":"Accelerating Video Diffusion via Training-Free Trajectory Routing","abstract":"Video diffusion is computationally expensive, as it requires executing a large model across many denoising steps. Even with step-distillation, inference remains expensive because every distilled step still requires a costly model evaluation. We present TRACK: TRajectory-Aware Capacity routing via top-K selection, a heterogeneous denoising strategy that switches between compatible large and small models at selected st","authors":["Mustafa Munir","Huy Vu","Shreyas Misra","Rohit Jena","Sajad Norouzi","Ali Taghibakhshi"],"url":"https://arxiv.org/abs/2609.30096v1","arxiv_id":"2609.30096v1","published":"2026-09-24T16:39:47Z"},{"title":"PrivDrift: Auditing User-Secret Leakage Under Topic Drift in Active LLM Conversations","abstract":"Large language models increasingly operate as persistent assistants in user-facing, shared-session, and tool-augmented settings. When users disclose sensitive information during an active conversation, that information may remain behaviorally recoverable through later prompts even after the dialogue shifts to unrelated topics. We introduce \\textbf{PrivDrift}, a benchmark for auditing whether user-disclosed secrets re","authors":["Luciano Maldonado"],"url":"https://arxiv.org/abs/2609.30094v1","arxiv_id":"2609.30094v1","published":"2026-09-24T16:39:18Z"}],"history":{"events":[{"year":2019,"text":"The Supreme Court of the United Kingdom unanimously ruled that advice given by Prime Minister Boris Johnson to Queen Elizabeth II that Parliament should be prorogued was unlawful.","url":"https://en.wikipedia.org/wiki/Supreme_Court_of_the_United_Kingdom"},{"year":1993,"text":"Norodom Sihanouk (pictured) became King of Cambodia with the restoration of the monarchy after a 23-year interregnum.","url":"https://en.wikipedia.org/wiki/Norodom_Sihanouk"},{"year":1992,"text":"After his neighbor identified handwriting samples placed on local billboards by police, Oba Chandler was arrested three years after he committed a triple murder in the Tampa Bay area in Florida.","url":"https://en.wikipedia.org/wiki/Oba_Chandler"},{"year":1975,"text":"Dougal Haston and Doug Scott of the Southwest Face expedition became the first people to reach the summit of Mount Everest by ascending one of its faces.","url":"https://en.wikipedia.org/wiki/Dougal_Haston"},{"year":1964,"text":"The Warren Commission released its report to the U.S. president, concluding that Lee Harvey Oswald acted alone in the assassination of John F. Kennedy.","url":"https://en.wikipedia.org/wiki/Warren_Commission"},{"year":1950,"text":"The \"Great Smoke Pall\", generated by the Chinchaga fire, the largest recorded fire in North American history, was first recorded in present-day Nunavut and may eventually have circled the entire globe.","url":"https://en.wikipedia.org/wiki/Chinchaga_fire"},{"year":1945,"text":"Dozens of Jews were injured in the Topoľčany pogrom, one of the worst episodes of anti-Jewish violence in postwar Czechoslovakia.","url":"https://en.wikipedia.org/wiki/Topo%C4%BE%C4%8Dany_pogrom"},{"year":1941,"text":"Operation Barbarossa: A Wehrmacht training event known as the Mogilev Conference began, marking an increase in violence against Jews and other civilians in the areas under General Max von Schenckendorff's command.","url":"https://en.wikipedia.org/wiki/Operation_Barbarossa"},{"year":1911,"text":"His Majesty's Airship No. 1, Britain's first rigid airship, was wrecked by strong winds before her maiden flight at Barrow-in-Furness (pictured).","url":"https://en.wikipedia.org/wiki/HMA_No._1"},{"year":1903,"text":"Alfred Deakin became the second Australian prime minister, succeeding Edmund Barton, who left office to become a founding justice of the High Court of Australia.","url":"https://en.wikipedia.org/wiki/Alfred_Deakin"},{"year":1890,"text":"Wilford Woodruff, the president of the Church of Jesus Christ of Latter-day Saints, wrote the first draft of a manifesto that officially disavowed the future practice of plural marriage.","url":"https://en.wikipedia.org/wiki/Wilford_Woodruff"},{"year":1877,"text":"At the Battle of Shiroyama (depicted), the final engagement of the Satsuma Rebellion, the Imperial Japanese Army defeated rebel samurai of the Satsuma Domain led by Saigō Takamori.","url":"https://en.wikipedia.org/wiki/Battle_of_Shiroyama"},{"year":1869,"text":"Jay Gould, James Fisk, and other speculators plotted but failed to control the United States gold market, causing prices to plummet.","url":"https://en.wikipedia.org/wiki/Jay_Gould"},{"year":1841,"text":"Raja Muda Hashim, the uncle of Omar Ali Saifuddin II, Sultan of Brunei, conceded land to the British adventurer James Brooke to establish the Raj of Sarawak.","url":"https://en.wikipedia.org/wiki/Omar_Ali_Saifuddin_II"},{"year":1789,"text":"The Judiciary Act of 1789 was signed into law, establishing the U.S. federal judiciary and setting the number of Supreme Court justices at six.","url":"https://en.wikipedia.org/wiki/Judiciary_Act_of_1789"},{"year":1645,"text":"English Civil War: Royalists commanded by King Charles I suffered a significant defeat at the Battle of Rowton Heath.","url":"https://en.wikipedia.org/wiki/English_Civil_War"},{"year":1568,"text":"At San Juan de Ulúa (present-day Veracruz, Mexico), a Spanish naval fleet forced English privateers to halt their trade (battle pictured).","url":"https://en.wikipedia.org/wiki/San_Juan_de_Ul%C3%BAa"}],"births":[{"year":2003,"text":"Joe Locke, Manx actor","url":"https://en.wikipedia.org/wiki/Joe_Locke"},{"year":2002,"text":"Gaeul, South Korean singer, rapper, and dancer","url":"https://en.wikipedia.org/wiki/Gaeul_(singer)"},{"year":1998,"text":"Nikolas Cruz, American mass murderer","url":"https://en.wikipedia.org/wiki/Nikolas_Cruz"},{"year":1997,"text":"Tosin Adarabioyo, English footballer","url":"https://en.wikipedia.org/wiki/Tosin_Adarabioyo"},{"year":1993,"text":"Cemre Gümeli, Turkish actress","url":"https://en.wikipedia.org/wiki/Cemre_G%C3%BCmeli"},{"year":1993,"text":"Narelle Kheng, Singaporean singer, actress, and former national swimmer","url":"https://en.wikipedia.org/wiki/Narelle_Kheng"},{"year":1993,"text":"Kateryna Derun, Ukrainian athlete","url":"https://en.wikipedia.org/wiki/Kateryna_Derun"},{"year":1993,"text":"Liu Shiying, Chinese athlete","url":"https://en.wikipedia.org/wiki/Liu_Shiying_(athlete)"}],"deaths":[{"year":2025,"text":"Sara Jane Moore, American attempted assassin of Gerald Ford (born 1930)","url":"https://en.wikipedia.org/wiki/Sara_Jane_Moore"},{"year":2022,"text":"Pharoah Sanders, American jazz saxophonist (born 1940)","url":"https://en.wikipedia.org/wiki/Pharoah_Sanders"},{"year":2020,"text":"Dean Jones, Australian cricketer, coach and commentator (born 1961)","url":"https://en.wikipedia.org/wiki/Dean_Jones_(cricketer)"},{"year":2016,"text":"Mel Charles, Welsh footballer (born 1935)","url":"https://en.wikipedia.org/wiki/Mel_Charles"},{"year":2016,"text":"Bill Mollison, Australian researcher, author and biologist (born 1928)","url":"https://en.wikipedia.org/wiki/Bill_Mollison"},{"year":2016,"text":"Bill Nunn, American actor (born 1953)","url":"https://en.wikipedia.org/wiki/Bill_Nunn"},{"year":2016,"text":"Buckwheat Zydeco, American accordionist and bandleader (born 1947)","url":"https://en.wikipedia.org/wiki/Buckwheat_Zydeco"},{"year":2015,"text":"Alan Moore, Australian painter and educator (born 1914)","url":"https://en.wikipedia.org/wiki/Alan_Moore_(war_artist)"}]},"census":{"panel_version":2,"probed":14770,"error_rate":24.7,"degraded":false,"rates":{"head":12.2,"tail":5.4,"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."}