{"date":"2026-08-27","schema_version":1,"captured_at":"2026-08-28T13:21:00.945Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":14},"attention":[{"title":"Dolly Parton","views":3814339,"rank":2,"extract":"Dolly Rebecca Parton Dean was an American singer-songwriter, actress and businesswoman. Dubbed the \"Queen of Country\", Parton was one of the most honored performers of country music in history, earning eleven Grammy Awards and three Emmy Awards, as well as nom","url":"https://en.wikipedia.org/wiki/Dolly_Parton","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8c/Young-Dolly-Parton_%28higher_quality_scan%29_%28cropped%29.jpg/330px-Young-Dolly-Parton_%28higher_quality_scan%29_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Tim Curry","views":3081968,"rank":3,"extract":"Timothy James Curry was an English actor and singer. He began his career on the stage, making his debut in Hair (1968–1969) and gaining wide recognition for portraying Dr Frank-N-Furter in The Rocky Horror Show (1973–1975) and its 1975 film adaptation The Rock","url":"https://en.wikipedia.org/wiki/Tim_Curry","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/12/Tim_Curry_%281978_A%26M_Records_publicity_photo%29.jpg/330px-Tim_Curry_%281978_A%26M_Records_publicity_photo%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Toxic (2026 film)","views":802527,"rank":5,"extract":"Toxic: A Fairy Tale for Grown-Ups is a 2026 Indian gangster film directed by Geetu Mohandas and jointly produced by Venkat K. Narayana and Yash through KVN Productions and Monster Mind Creations LLP respectively. 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unofficial guide to Markdown-ts-mode","points":187,"comments":75,"url":"https://rahuljuliato.com/posts/markdown-ts-mode-emacs-31","discussion":"https://news.ycombinator.com/item?id=49464543"},{"title":"Two German airport workers die of malaria after 'mosquito arrives on plane'","points":184,"comments":103,"url":"https://www.bbc.com/news/articles/cz6zwgg9y8go","discussion":"https://news.ycombinator.com/item?id=49468315"},{"title":"Afterglow: Run classic After Dark screen savers on modern macOS","points":170,"comments":47,"url":"https://morphing.cloud/afterglow/","discussion":"https://news.ycombinator.com/item?id=49457722"},{"title":"Aphantasia Beginner's Guide","points":167,"comments":407,"url":"https://aphantasia.com/guide","discussion":"https://news.ycombinator.com/item?id=49464414"},{"title":"Xcancel and Nitter have been taken down","points":159,"comments":3,"url":"https://news.ycombinator.com/item?id=49462427","discussion":"https://news.ycombinator.com/item?id=49462427"},{"title":"M5Stack Launches PaperMono","points":154,"comments":52,"url":"https://shop.m5stack.com/blogs/news/m5stack-launches-papermono-a-compact-e-ink-development-terminal-for-connected-projects","discussion":"https://news.ycombinator.com/item?id=49468593"}],"research":[{"title":"WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution","abstract":"Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enables agents to progressively adapt through interaction. However, the insights that guide skill development typically remain scattered across optimization histories, limiting their systematic reuse across iterations. We intro","authors":["Liyan Tang","Cyrus Rashtchian","Chun-Sung Ferng","Andrew Tomkins","Da-Cheng Juan","Tu Vu"],"url":"https://arxiv.org/abs/2608.27454v1","arxiv_id":"2608.27454v1","published":"2026-08-27T17:59:11Z"},{"title":"SWE-Prime: Fewer Trajectories, Better Performance","abstract":"To improve large language models' ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFT) on successful trajectories. However, task success does not guarantee high-quality supervision: successful trajectories may still contain ineffective, redundant, or risky steps. Directly using such trajectories for SFT ","authors":["Dewu Zheng","Ruizhe Ye","Yanlin Wang","Yang Ye","Hongyu Zhang","Ensheng Shi"],"url":"https://arxiv.org/abs/2608.27449v1","arxiv_id":"2608.27449v1","published":"2026-08-27T17:58:10Z"},{"title":"From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench","abstract":"In real-world software development, code review typically involves iterative interactions between developers and reviewers to improve software quality, making the process costly and time-consuming. Although recent work explores large language models (LLMs) for automated code review, most approaches oversimplify code review into a single-round, static decision task, which fails to capture the multi-round interactive n","authors":["Dewu Zheng","Yanlin Wang","Xiwen Wang","Kefeng Duan","Hongyu Zhang","Xilin Liu"],"url":"https://arxiv.org/abs/2608.27442v1","arxiv_id":"2608.27442v1","published":"2026-08-27T17:56:24Z"},{"title":"RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution","abstract":"LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful tool use and persistent state changes, creating greater risks than unsafe text generation alone. Existing automatic red-teaming methods often rely on fixed attacks, while recent agentic attackers coordinate multiple jailbreak tools and show stronger potential through trajectory-based retrieval. Howeve","authors":["Junjie Zhang","Hui Liu","Kecheng Chen","Xianbo Mo","Changsheng Chen","Haoliang Li"],"url":"https://arxiv.org/abs/2608.27439v1","arxiv_id":"2608.27439v1","published":"2026-08-27T17:55:33Z"},{"title":"Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation","abstract":"Chemical reactions are fundamentally transformations in electron space, yet most machine learning approaches model them either through \\textit{de novo} generation of product molecules or through heuristic graph edits that operate directly on molecular topology. We introduce MAELLE (\\textbf{M}ech\\textbf{A}nistic \\textbf{E}dit f\\textbf{L}ow-matching on e\\textbf{L}ectron r\\textbf{E}arrangements), which instead models re","authors":["Nguyen Xuan-Vu","Octavian Susanu","Daniel Armstrong","Philippe Schwaller"],"url":"https://arxiv.org/abs/2608.27429v1","arxiv_id":"2608.27429v1","published":"2026-08-27T17:50:44Z"},{"title":"Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit","abstract":"Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentation) evolve freely, while keeping execution (stateful, audited work) traceable. A single trust domain does not satisfy both cheaply. We present Persona-Execution Separation (PES): persona and execution reside in different trust domains, connected by a governed contract bridge. The persona is singly-home","authors":["Yisen Xi"],"url":"https://arxiv.org/abs/2608.27427v1","arxiv_id":"2608.27427v1","published":"2026-08-27T17:50:07Z"},{"title":"Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners","abstract":"Static scanners are increasingly used to identify executable or otherwise unsafe content in machine- learning artifacts, yet conventional evaluation metrics characterize only cases where a scanner yields a usable security judgment. We evaluate ModelScan, ModelAudit, and Fickling using a controlled, artifact-backed benchmark on a synthetic corpus of 170 Pickle and PyTorch focused artifacts across 145 specimen families","authors":["Qianlong Lan","Vinothini Pandurangan","Anuj Kaul","Indranil Sanyal"],"url":"https://arxiv.org/abs/2608.27424v1","arxiv_id":"2608.27424v1","published":"2026-08-27T17:49:28Z"},{"title":"Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study","abstract":"Currently used sepsis severity indices rely on fixed variables and weights established decades ago, which are coarsely discretized and calibrated to a cohort that no longer reflects contemporary critical care. No alternative learned directly from patient trajectories is in routine use. We conducted a retrospective two-cohort study on a total of 29,116 and 7,691 adult patients meeting Sepsis-3 criteria from two hospit","authors":["Kevin Zhu","Ryan Zhang","Baraa Abed","Tilendra Choudhary","Malvern Madondo","Mehak Arora"],"url":"https://arxiv.org/abs/2608.27421v1","arxiv_id":"2608.27421v1","published":"2026-08-27T17:46:21Z"},{"title":"CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators","abstract":"State-of-the-art action-conditioned video models are typically restricted to a single robot embodiment, preventing them from leveraging the vast corpus of heterogeneous video data that contains rich signals for learning generalizable physics. To bridge this gap, we introduce CLAP, a framework for cross-embodiment action-conditioned video generation capable of being trained on diverse, internet-scale videos across hum","authors":["Kechen Liu","Ola Shorinwa"],"url":"https://arxiv.org/abs/2608.27406v1","arxiv_id":"2608.27406v1","published":"2026-08-27T17:35:10Z"},{"title":"How Language Models Organize and Structure Moral Knowledge","abstract":"How do large language models (LLMs) organize moral knowledge? Models detect moral content broadly, but detection is a low bar. We ask whether they go further, distinguishing moral foundations from one another and organizing the relationships between them geometrically. We train six independent linear probes on open-weight language models, one per Moral Foundations Theory (MFT) category (care/harm, fair/cheat, lib/opp","authors":["Orion Reblitz-Richardson"],"url":"https://arxiv.org/abs/2608.27402v1","arxiv_id":"2608.27402v1","published":"2026-08-27T17:30:30Z"},{"title":"Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction","abstract":"Clinical language models can achieve strong in-hospital accuracy yet fail under deployment shifts because they exploit note-specific artifacts (e.g., templates, separators, boilerplate) that do not reflect patient state. We propose CAST (Concept-guided Artifact Suppression Tuning), an SAE-based framework for auditable clinical text classification. CAST uses Sparse Autoencoders to expose sparse, human-auditable featur","authors":["Jin Mu","Guanhua Chen"],"url":"https://arxiv.org/abs/2608.27397v1","arxiv_id":"2608.27397v1","published":"2026-08-27T17:28:35Z"},{"title":"LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics","abstract":"Video carries the temporal structure of the physical world, yet learning representations from it has remained computationally expensive: prevailing self-supervised methods either prevent representation collapse through architectural asymmetries, coupling an exponential-moving-average target encoder, a stop-gradient, and a capacity-limited predictor, or circumvent it by reconstructing masked content in pixel space. We","authors":["Lukas Kuhn","Lucas Maes","Giuseppe Serra","Quentin Le Lidec","Yann LeCun","Randall Balestriero"],"url":"https://arxiv.org/abs/2608.27395v1","arxiv_id":"2608.27395v1","published":"2026-08-27T17:26:24Z"},{"title":"Property-Specific Recoverability from Contact PPG to Camera rPPG under Heterogeneous Observation Conditions","abstract":"Camera-derived remote photoplethysmography (rPPG) is commonly validated through endpoint accuracy, but endpoint performance does not establish whether other physiological properties of source contact photoplethysmography (PPG) remain preserved recording by recording. We evaluated property-specific PPG-to-rPPG recoverability on 655 recordings from the Multi-Domain Mobile Video Physiology Dataset using CHROM as a fixed","authors":["Timothy Oladunni","Farouk Ganiyu-Adewumi"],"url":"https://arxiv.org/abs/2608.27392v1","arxiv_id":"2608.27392v1","published":"2026-08-27T17:23:14Z"},{"title":"CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases","abstract":"LLMs are increasingly able to answer complex questions about enterprise-scale document collections. But evaluation is hard: companies don't want to share internal communications, and synthetic datasets have been overly simple. We present CorporateBench (CB), a human-validated multi-task Q&A benchmark whose scale approaches the conditions LLMs encounter in corporate communication networks, with evaluation corpora ","authors":["Sil Hamilton","Albert Yu Sun","Oscar J. Romero","Carl-Leander Henneking","David Mimno","Bishan Yang"],"url":"https://arxiv.org/abs/2608.27391v1","arxiv_id":"2608.27391v1","published":"2026-08-27T17:23:04Z"},{"title":"Successive Capacity Growth: Task-Complexity-Driven Width and Depth Expansion for Vision Transformer Encoders in JEPA World Models","abstract":"Joint-Embedding Predictive Architectures (JEPAs) for world modeling typically employ fixed-size Vision Transformer encoders that are over-provisioned for simple tasks and under-provisioned for complex ones, with significant redundancy across attention heads. We propose Successive Capacity Growth (SCG), a method that starts from a minimal encoder (1 head, 2 layers, 283K parameters) and grows incrementally in width (ad","authors":["Frederik Berenz"],"url":"https://arxiv.org/abs/2608.27367v1","arxiv_id":"2608.27367v1","published":"2026-08-27T17:04:57Z"},{"title":"Stageboost: Recommending Signals Based on Counterfactual Estimation","abstract":"Signals are short textual or visual snippets displayed on the eBay View-Item (VI) page, providing additional, contextual information for users about the viewed item. The aim of displaying these signals is to facilitate intelligent purchase and to incentivize engagement. In this paper, we present a 2 stage xgboost based model that optimally populates the VI page with signals. This approach has shown a 0.08% lift in ov","authors":["Darpan Singhal","Matan Mandelbrod","Tal Franji","Manasa Kolla","Vipul Gaba","Yuri Brovman"],"url":"https://arxiv.org/abs/2608.27366v1","arxiv_id":"2608.27366v1","published":"2026-08-27T17:04:45Z"},{"title":"KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations","abstract":"Physics-integrated 3D Gaussian representations now allow reconstructed deformable objects to be simulated and rendered under explicit material models. Existing pipelines, however, assume that material parameters are known or manually specified, limiting their applicability when these parameters must be inferred from observed object dynamics. We propose KnockGS, an interaction-response PhysicalGS framework that estima","authors":["Chenchen Ge","Hanwen Shen","Bowen Jing","Jiyuan Cai","Xiaofeng Wang","Hongsen Lei"],"url":"https://arxiv.org/abs/2608.27365v1","arxiv_id":"2608.27365v1","published":"2026-08-27T17:03:38Z"},{"title":"Sophistication in GenAI Use: Field Evidence from a Large Firm","abstract":"We study how sophistication in generative AI (genAI) use varies among the back-office workforce of a large firm. Using proprietary data, we observe 713,564 employee prompts and their corresponding large language model responses from nearly 4,000 back-office employees across 15 functional areas over eight months in 2025. We document three main findings. First, senior employees exhibit more sophisticated genAI use, con","authors":["Nicholas J. Hallman","Zachary T. Kowaleski","Anu Puvvada","Jaime J. Schmidt"],"url":"https://arxiv.org/abs/2608.27364v1","arxiv_id":"2608.27364v1","published":"2026-08-27T17:03:10Z"},{"title":"RCMN: Understanding Misleadingness in Influential Public Discourse","abstract":"Influential public discourse shapes public beliefs and can also mislead, not only through what is stated, but also through how information is framed, omitted, contextualised, and communicated. Yet less research has focused on how such misleadingness arises and shapes the interpretations formed by readers. To address this gap, we introduce Reader-Centric Misleadingness Understanding (RCMN), a framework that operationa","authors":["Peiling Yi"],"url":"https://arxiv.org/abs/2608.27358v1","arxiv_id":"2608.27358v1","published":"2026-08-27T16:57:40Z"},{"title":"PAWBench: How Far Are We from Probabilistically Aligned World Modeling?","abstract":"Recent video generation models are increasingly framed as world models. Many physical processes can unfold in more than one valid way. Therefore, a world model should reproduce not only a plausible trajectory, but also the distribution of possible behaviors under the same initial observation and action. We call this distribution-level requirement probabilistic alignment. However, existing evaluations largely assess i","authors":["Yuandong Pu","Le Zhuo","Sayak Paul","Gabriel Jorge Menezes","Avram Đorđević","Shiyang Li"],"url":"https://arxiv.org/abs/2608.27345v1","arxiv_id":"2608.27345v1","published":"2026-08-27T16:46:38Z"},{"title":"Not All Eval-Awareness Is Equal: Capabilities Framing Predicts Compliance","abstract":"Steering interventions targeting eval-awareness, a model's recognition that it is being tested, are increasingly used in safety evaluation pipelines, where evaluation-awareness is treated as a single quantity to be suppressed. We show that verbalized eval-awareness in chain-of-thought can be identified as capabilities-flavored (\"the user is testing my ability to follow instructions\"), safety-flavored (\"the user is te","authors":["Allison Zhuang","Santiago Aranguri"],"url":"https://arxiv.org/abs/2608.27340v1","arxiv_id":"2608.27340v1","published":"2026-08-27T16:41:48Z"},{"title":"Verify Smarter, Evolve Further: Efficient Harness Evolution through Behavior-Aware Verification","abstract":"Agent harnesses shape how language-model agents use instructions, tools, and runtime components, but adapting these harnesses requires costly verification. Existing propose-and-verify methods typically score every candidate on a fixed task set, wasting rollouts on unrelated behaviors and allowing aggregate scores to obscure specific regressions. We introduce HarnessLens, a budget-aware framework for automated harness","authors":["Jinghan Xu","Yikai Zhang","Aili Chen","Weiyuan Li","Jiaqing Liang","Deqing Yang"],"url":"https://arxiv.org/abs/2608.27311v1","arxiv_id":"2608.27311v1","published":"2026-08-27T16:12:23Z"},{"title":"Difference-in-Differences on a Censored Rating Scale Can Manufacture an Effect: Evidence from a Pre-Registered LLM-Judge Audit","abstract":"Audits of LLM judges certify a bias by contrasting matched conditions, and the strongest designs difference twice: a within-item contrast between two candidate responses, differenced again across a manipulated attribute, read off a bounded rating scale. We show that this endpoint is not identified on the scale that reports it. Each term of the double difference is censored by its own share, so the observed statistic ","authors":["Shuyi Fan","Boyuan Deng","Mengyu Xu","Xinhong Xie","Chenyang Li","Hongyang Zhang"],"url":"https://arxiv.org/abs/2608.27309v1","arxiv_id":"2608.27309v1","published":"2026-08-27T16:10:16Z"},{"title":"LLMs Can Design Near-Optimal OR Algorithms","abstract":"We ask whether large language models (LLMs) can design effective algorithms for well-specified operations research (OR) problems. We study inventory control, queueing network control, and assortment optimization. We evaluate two levels of LLM use: at level 1, the model receives one problem instance and returns a solution for that instance; at level 2, it receives only the problem class description and broad parameter","authors":["Jackie Baek"],"url":"https://arxiv.org/abs/2608.27296v1","arxiv_id":"2608.27296v1","published":"2026-08-27T16:01:11Z"},{"title":"TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection","abstract":"Most single-stage 3D object detectors complete different tasks with the same extracted features. Nevertheless, it is impossible to project features into a common space that is adaptive for all the tasks. We present a novel task-aware deformable prediction (TADP) method for single-stage 3D object detection to solve this problem. Firstly, a triple feature refinement aggregation module is designed to extract three-level","authors":["Su Wang","Yaochen Li","Min Yang","Jiaohao Nie","Chang Liu","Yuehu Liu"],"url":"https://arxiv.org/abs/2608.27282v1","arxiv_id":"2608.27282v1","published":"2026-08-27T15:54:32Z"}],"history":{"events":[{"year":2013,"text":"Religious violence between Hindus and Muslims erupted in Muzaffarnagar district, Uttar Pradesh, India, leaving 62 people dead.","url":"https://en.wikipedia.org/wiki/2013_Muzaffarnagar_riots"},{"year":2009,"text":"The Myanmar military junta and ethnic armies began three days of violent clashes in the region of Kokang.","url":"https://en.wikipedia.org/wiki/Tatmadaw_Government_(1988%E2%80%932011)"},{"year":2006,"text":"Comair Flight 5191 crashed (wreckage pictured) while inadvertently attempting to take off from the wrong runway at Blue Grass Airport in Lexington, Kentucky, killing 49 of the 50 people on board, and causing the Federal Aviation Administration to modify air traffic control rules.","url":"https://en.wikipedia.org/wiki/Comair_Flight_5191"},{"year":1990,"text":"American musician Stevie Ray Vaughan, one of the most influential guitarists in the revival of blues in the 1980s, was killed in a helicopter crash.","url":"https://en.wikipedia.org/wiki/Stevie_Ray_Vaughan"},{"year":1979,"text":"The Troubles: the IRA ambushed and killed 18 British soldiers near Warrenpoint, and assassinated Lord Mountbatten on his boat at Mullaghmore.","url":"https://en.wikipedia.org/wiki/The_Troubles"},{"year":1964,"text":"South Vietnamese junta leader Nguyễn Khánh entered into a triumvirate power-sharing arrangement with rival generals Trần Thiện Khiêm and Dương Văn Minh, both of whom had been involved in plots to unseat Khánh.","url":"https://en.wikipedia.org/wiki/South_Vietnam"},{"year":1955,"text":"The first edition of the Guinness Book of Records was published.","url":"https://en.wikipedia.org/wiki/Guinness_World_Records"},{"year":1896,"text":"In the shortest recorded war in history, the Sultanate of Zanzibar surrendered to the United Kingdom after less than an hour of conflict.","url":"https://en.wikipedia.org/wiki/Anglo-Zanzibar_War"},{"year":1859,"text":"Edwin Drake successfully drilled for oil in Titusville, Pennsylvania, resulting in the Pennsylvania oil rush, the first oil boom in the United States.","url":"https://en.wikipedia.org/wiki/Edwin_Drake"},{"year":1832,"text":"Black Hawk (pictured), the leader of the Sauk tribe of Native Americans, surrendered to U.S. authorities to end the Black Hawk War.","url":"https://en.wikipedia.org/wiki/Black_Hawk_(Sauk_leader)"},{"year":1810,"text":"Napoleonic Wars: The French Navy defeated the Royal Navy, preventing them from capturing the harbour of Grand Port on Mauritius.","url":"https://en.wikipedia.org/wiki/Napoleonic_Wars"},{"year":1776,"text":"British forces led by William Howe defeated the Continental Army under George Washington at the Battle of Long Island, the largest battle of the American Revolutionary War.","url":"https://en.wikipedia.org/wiki/William_Howe%2C_5th_Viscount_Howe"},{"year":1656,"text":"The Netherlands and the Ahanta people signed the Treaty of Butre, creating a Dutch protectorate over the country of Upper Ahanta in modern-day Ghana.","url":"https://en.wikipedia.org/wiki/Ahanta_people"},{"year":410,"text":"The sacking of Rome by the Visigoths ended after three days.","url":"https://en.wikipedia.org/wiki/Sack_of_Rome_(410)"}],"births":[{"year":2007,"text":"Ariana Greenblatt, American actress","url":"https://en.wikipedia.org/wiki/Ariana_Greenblatt"},{"year":2006,"text":"Kang Ju-hyeok, South Korean footballer","url":"https://en.wikipedia.org/wiki/Kang_Ju-hyeok"},{"year":2001,"text":"Franz Wagner, German basketball player","url":"https://en.wikipedia.org/wiki/Franz_Wagner"},{"year":1998,"text":"Kevin Huerter, American basketball player","url":"https://en.wikipedia.org/wiki/Kevin_Huerter"},{"year":1998,"text":"Matheus Nunes, Portuguese footballer","url":"https://en.wikipedia.org/wiki/Matheus_Nunes"},{"year":1998,"text":"Rod Wave, American rapper, singer, and songwriter","url":"https://en.wikipedia.org/wiki/Rod_Wave"},{"year":1998,"text":"Brandon Hagel, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Brandon_Hagel"},{"year":1997,"text":"Lucas Paquetá, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Lucas_Paquet%C3%A1"}],"deaths":[{"year":2026,"text":"Ratko Mladić, Bosnian Serb military officer and war criminal (born 1942)","url":"https://en.wikipedia.org/wiki/Ratko_Mladi%C4%87"},{"year":2024,"text":"Bob Carr, American politician (born 1943)","url":"https://en.wikipedia.org/wiki/Bob_Carr_(Michigan_politician)"},{"year":2024,"text":"Juan Izquierdo, Uruguayan footballer (born 1997)","url":"https://en.wikipedia.org/wiki/Juan_Izquierdo"},{"year":2024,"text":"Charlotte Kretschmann, German supercentenarian (born 1909)","url":"https://en.wikipedia.org/wiki/Charlotte_Kretschmann"},{"year":2024,"text":"Leonard Riggio, American businessman (born 1941)","url":"https://en.wikipedia.org/wiki/Leonard_Riggio"},{"year":2016,"text":"Cookie, Australian Major Mitchell's cockatoo, oldest recorded parrot (born 1933)","url":"https://en.wikipedia.org/wiki/Cookie_(cockatoo)"},{"year":2015,"text":"Kazi Zafar Ahmed, Bangladeshi politician, 8th Prime Minister of Bangladesh (born 1939)","url":"https://en.wikipedia.org/wiki/Kazi_Zafar_Ahmed"},{"year":2015,"text":"Pascal Chaumeil, French director and screenwriter (born 1961)","url":"https://en.wikipedia.org/wiki/Pascal_Chaumeil"}]},"census":{"panel_version":2,"probed":14770,"error_rate":24.54,"degraded":false,"rates":{"head":11.6,"tail":5.1,"ai_native":72.73}},"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 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Every item links to its source."}