{"date":"2026-09-09","schema_version":1,"captured_at":"2026-09-10T09:16:02.874Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Elizabeth Holmes","views":423578,"rank":4,"extract":"Elizabeth Anne Holmes is an American businesswoman convicted of fraud in connection with her health technology company Theranos. 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She then attempted suicide by cutting her wrists and n","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":"Alex Michelsen","views":208780,"rank":6,"extract":"Alex T. Michelsen is an American professional tennis player from California. His parents, Sondra and Erik Michelsen, both played tennis in college. 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browser","points":200,"comments":27,"url":"https://gnuradioworld.com/","discussion":"https://news.ycombinator.com/item?id=49628576"},{"title":"Understanding the recent DDoS attack against Read the Docs","points":188,"comments":59,"url":"https://about.readthedocs.com/blog/2026/09/2026-ddos-attack/","discussion":"https://news.ycombinator.com/item?id=49628614"}],"research":[{"title":"Show-Harness: Just a VLM Agent Can Play Robots","abstract":"Foundation vision-language models (VLMs) exhibit broad intelligence about the world, yet translating this intelligence into robot control remains challenging. We present Show-Harness, an Embodied Harness that enables VLMs to \"play\" robots through a compact semantic interface linking intent to action. Show-Harness exposes discrete semantic action units that VLMs can naturally reason over, while embodiment-specific int","authors":["Yanzhe Chen","Zechen Bai","Zhijun Cao","Wenzheng Zeng","Kevin Qinghong Lin","Yiqi Lin"],"url":"https://arxiv.org/abs/2609.10522v1","arxiv_id":"2609.10522v1","published":"2026-09-09T17:53:38Z"},{"title":"IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier","abstract":"Enterprises deploy systems, not checkpoints. Usable capability depends jointly on weights, serving route, precision, output contract, and harness, yet all 18 audited benchmarks score advertised model identifiers. We treat this as measurement error and give a protocol that makes it reportable. It has three parts. A gold-blind capability-binding preflight verifies that a route can execute the evaluation contract before","authors":["Blake Stenstrom","Charangan Vasantharajan","Brian Sathianathan"],"url":"https://arxiv.org/abs/2609.10494v1","arxiv_id":"2609.10494v1","published":"2026-09-09T17:31:29Z"},{"title":"Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization","abstract":"Joint-Embedding Predictive Architecture (JEPA) world models learn a compact latent representation of the world that supports prediction and planning, but their capability to learn physics and generate physically realistic dynamics remains hitherto untested. In this work, we introduce SemiGroup-JEPA (SG-JEPA), which extends the LeWorldModel framework by supplying the parameter governing the physics to the temporal mod","authors":["Andy Zeyi Liu","Haoran Sun","Lucas Baker","Randall Balestriero","John Sous"],"url":"https://arxiv.org/abs/2609.10464v1","arxiv_id":"2609.10464v1","published":"2026-09-09T17:08:13Z"},{"title":"JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task Composition","abstract":"Real-world GUI usage frequently involves workflows that span multiple devices and platforms, requiring the transfer of intermediate results, maintenance of shared state, and coordination across heterogeneous environments. However, existing GUI benchmarks overwhelmingly evaluate agents on single-device, statically defined tasks, thus leaving such cross-device capabilities largely unexamined, resulting in an overly opt","authors":["Zixiang Chen","Yuheng Lu","Zihao Cheng","Zeming Liu","Jizeng Bai","Ziye Huang"],"url":"https://arxiv.org/abs/2609.10451v1","arxiv_id":"2609.10451v1","published":"2026-09-09T16:59:59Z"},{"title":"ConvMem: Convolutional Memory for Long-Context Reasoning","abstract":"While Large Language Models (LLMs) have demonstrated impressive capabilities, they often struggle with extremely long contexts due to fixed context limits. To address this, sequential approaches like MemAgent extend the effective context by reading text in segments and iteratively updating a fixed-size memory. However, this sequential paradigm suffers from high latency and requires costly reinforcement learning (RL) ","authors":["Hongming Zhang","Zhaozhen Gu","Fengshuo Bai","Ming Hao","Qingyang Zhang","Yuanyuan Wang"],"url":"https://arxiv.org/abs/2609.10441v1","arxiv_id":"2609.10441v1","published":"2026-09-09T16:53:02Z"},{"title":"Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs","abstract":"Large Language Models (LLMs) can memorize and reproduce sensitive, copyrighted, or otherwise undesirable training content, creating privacy, safety, and regulatory concerns. Machine unlearning offers a practical alternative to full retraining, but many existing methods apply broad or fixed parameter updates that can degrade utility and remain brittle under deployment changes such as post-training quantization, where ","authors":["Ravi Ranjan","Olivera Kotevska","Agoritsa Polyzou"],"url":"https://arxiv.org/abs/2609.10439v1","arxiv_id":"2609.10439v1","published":"2026-09-09T16:50:41Z"},{"title":"Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support","abstract":"Background: Emergency Department (ED) return visits are commonly reviewed for quality assurance, but are often limited (e.g., to revisits within 48-72 hours) to increase actionable finding yield while minimizing chart review burden. Those limitations may lead to missed quality improvement opportunities. Methods: We conducted an exploratory, retrospective study of randomly selected ED visits to a multihospital health ","authors":["Jonathan A. Handler","Marlene I. Robles-Granda","Jacob E. Mefford","Jeremy S. McGarvey","Gregory S. Podolej","Colleen J. Klein"],"url":"https://arxiv.org/abs/2609.10421v1","arxiv_id":"2609.10421v1","published":"2026-09-09T16:37:35Z"},{"title":"Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs","abstract":"Current LLM memory systems treat all personal facts identically, so stores grow without bound while retrieval precision degrades. The core challenge is lifecycle management: which memories should persist, which should be replaced, and at what rate, conditioned on the behavioral type of each fact. Fortunate Recall (FR) is a composable policy layer that classifies personal facts into a 10+1 behavioral ontology and appl","authors":["Ansuman Mullick","Eray Tüzün"],"url":"https://arxiv.org/abs/2609.10413v1","arxiv_id":"2609.10413v1","published":"2026-09-09T16:31:45Z"},{"title":"Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization","abstract":"The growing complexity of content moderation policies presents a critical challenge for their consistent operationalization. While foundation models possess the basic capabilities needed to confront this challenge, whether they can reliably moderate online content remains an unanswered question. In this paper, we systematically compare two competing paradigms for Vision-Language Model (VLM) guidance: an instruction-d","authors":["Ayan Majumdar","Shounak Paul","Pushpdeep Singh","Ines Abdelaziz","Sayeh Jarollahi","Seungeon Lee"],"url":"https://arxiv.org/abs/2609.10410v1","arxiv_id":"2609.10410v1","published":"2026-09-09T16:30:15Z"},{"title":"MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production","abstract":"Animation and VFX pre-production review requires teams to translate loosely specified creative intent--briefs, evolving specifications, heterogeneous references, and verbal decisions--into revisions that junior artists can execute without repeated clarification. In practice, criteria drift across iterations, review judgments lose their evidential basis, and the reasoning behind a request rarely survives the senior-ju","authors":["Shih-Yu Lai","Wen-Fan Wang","Sai Ling","Shaune Jan","Bing-Yu Chen","Xiang Anthony Chen"],"url":"https://arxiv.org/abs/2609.10385v1","arxiv_id":"2609.10385v1","published":"2026-09-09T16:10:29Z"},{"title":"PACE: Perceived-Latency-Aware Cascading Service Routing and Filler Control for QoE-Efficient Retrieval-Augmented Dialogue Serving","abstract":"We present the PACE, a framework for retrieval-augmented dialogue serving that formalizes Perceived Time-to-First-Response (PTFR) as a QoE objective and minimizes it under quality/cost constraints. Unlike prior work on cascaded routing, semantic caching, or adaptive retrieval, PACE jointly controls which answer source composes the response and what fills the waiting window. Deployed on a humanoid-robot sales service,","authors":["Lin Huang","Yujuan Tan","Weisheng Li","Lixiang Zeng","Kun Yang","Suihan Xiao"],"url":"https://arxiv.org/abs/2609.10372v1","arxiv_id":"2609.10372v1","published":"2026-09-09T16:02:36Z"},{"title":"OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis","abstract":"Simultaneous assessment of medical imaging and patient records is often required in clinical diagnosis. However, standard machine learning algorithms cannot analyze these data types together. Meanwhile, compliance with HIPAA and GDPR can constrain centralized aggregation of sensitive patient data. This leaves a crucial void of secure fusion of visual and textual context across distant networks. Thus, we present OmniM","authors":["Ayush Debnath","Ruelia Saha","Sudip Misra"],"url":"https://arxiv.org/abs/2609.10364v1","arxiv_id":"2609.10364v1","published":"2026-09-09T15:56:26Z"},{"title":"Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System","abstract":"The banking system now depends on a small set of shared artificial intelligence vendors for fraud screening, credit decisioning, anti-money-laundering triage, customer analytics, and internal decision support. This paper studies how a compromise inside one of those vendors can propagate along a chain of operational, informational, and financial linkages until it triggers losses that look, from the outside, like a cla","authors":["Alex Leytes"],"url":"https://arxiv.org/abs/2609.10350v1","arxiv_id":"2609.10350v1","published":"2026-09-09T15:46:16Z"},{"title":"Beyond One-Size-Fits-All: Sample-Adaptive Strategy Routing for Vision Token Pruning in MLLMs","abstract":"Multimodal large language models (MLLMs) process hundreds or thousands of visual tokens per image, incurring prohibitive inference costs. While existing vision token pruning methods mitigate this overhead, they implicitly assume that a single fixed pruning strategy can be applied uniformly across all inputs. Our analysis further reveals that ranking pruning methods by average benchmark accuracy conceals substantial s","authors":["Haiji Liang","Pengfei Zhou","Zhenglin Wan","Wei Wang","Yang You","Wangbo Zhao"],"url":"https://arxiv.org/abs/2609.10346v1","arxiv_id":"2609.10346v1","published":"2026-09-09T15:44:32Z"},{"title":"From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric Reasoning","abstract":"Plane geometry remains a significant challenge in AI, requiring the integration of visual perception and mathematical reasoning. While Large Multimodal Models (LMMs) naturally handle visuo-linguistic inputs, they are often computationally intensive and opaque. We demonstrate that a pure Large Language Model (LLM), when equipped with specialized modules, can rival state-of-the-art LMMs on complex geometry problems. Ou","authors":["Weichen Dai","Rafael Medeiros Cabral","Ziyi Shou","Yan Cao","Xin Shen","Dongcai Lu"],"url":"https://arxiv.org/abs/2609.10335v1","arxiv_id":"2609.10335v1","published":"2026-09-09T15:33:25Z"},{"title":"TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards","abstract":"Reinforcement learning with verifiable rewards (RLVR) has advanced language-model reasoning in domains such as mathematics and code, where objective answers are inexpensive to check. Diagnostic reasoning over complex data lacks this advantage: establishing the true cause of an anomaly often requires costly expert investigation and may remain ambiguous after the fact. We ask whether this asymmetry of verification can ","authors":["Rui Sun","Zhan Shi","Bing He"],"url":"https://arxiv.org/abs/2609.10315v1","arxiv_id":"2609.10315v1","published":"2026-09-09T15:21:47Z"},{"title":"One Loop, Two Gains: Can Active Learning win the Lottery for Free?","abstract":"The lottery ticket hypothesis posits the existence of winning tickets: sparse subnetworks that, when trained in isolation from their original initialization, match the accuracy of the full dense network. The predominant method for discovering such tickets, iterative magnitude pruning, alternates pruning with full retraining from scratch until convergence over many cycles. Similarly, deep active learning also retrains","authors":["Benedikt Tscheschner","Eduardo Veas","Marc Masana"],"url":"https://arxiv.org/abs/2609.10311v1","arxiv_id":"2609.10311v1","published":"2026-09-09T15:18:37Z"},{"title":"RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding","abstract":"Language models under one million parameters matter for edge deployment, domain adaptation, and reproducible research, yet a two-layer LSTM or Transformer at embedding width d = 128 still spends roughly one third of its capacity on the output matrix W_out in R^(d x |V|). We propose Riemannian Language Models (RiLM), which remove that layer entirely: context unfolds as a trajectory on a Riemannian manifold, and next-t","authors":["Fang Li"],"url":"https://arxiv.org/abs/2609.10305v1","arxiv_id":"2609.10305v1","published":"2026-09-09T15:16:31Z"},{"title":"Learning Intrusion Response Strategies for OT Systems","abstract":"Cyberattacks against Operational Technology (OT) systems, which monitor and control industrial processes, pose an increasing threat to essential societal services. For this reason, developing automated intrusion response strategies is highly important. In this paper, we present a formal model of an OT intrusion response use case using the POMDP framework. It includes a realistic model of partial observability that is","authors":["Duc Huy Le","Rolf Stadler"],"url":"https://arxiv.org/abs/2609.10298v1","arxiv_id":"2609.10298v1","published":"2026-09-09T15:12:52Z"},{"title":"GANDR: Claim Auditing for Verifiable Legal Answer Generation","abstract":"In high-stakes domains such as legal practice, a language-model answer is only useful to the extent that a reader can verify each claim against the source the system cites. Current grounded-generation pipelines score the answer as a whole, so a correct conclusion can rest on fabricated or loosely matched citations and still score well. Closing this gap requires both a system built for per-claim verification and an ev","authors":["Chen Qian","Yimeng Wang","Yu Chen","Lingfei Wu","Andreas Stathopoulos"],"url":"https://arxiv.org/abs/2609.10293v1","arxiv_id":"2609.10293v1","published":"2026-09-09T15:08:09Z"},{"title":"What Should an Agent Forget? Separating What Is Stored from What Is Used","abstract":"Persistent language agents need stored experience to remain available across time, while each answer requires evidence suited to a particular question. A superseded fact can mislead a current-state answer and still be essential for a historical query. We present RD-Forget, a training-free framework that separates what an agent stores from what it uses. A retained source archive preserves observations, and a query-con","authors":["Yuhang Li","Yuchen Li"],"url":"https://arxiv.org/abs/2609.10263v1","arxiv_id":"2609.10263v1","published":"2026-09-09T14:48:09Z"},{"title":"DiSCo: A Distribution-First Steering and Cultural Prior Evaluation Framework for Measuring Cultural Preference Bias in LLMs","abstract":"Large language models (LLMs) are increasingly deployed in globally used assistants, yet their default choices in culturally grounded everyday situations can systematically favour some cultures over others, affecting localisation, user trust, and equitable behaviour. Existing cultural benchmarks evaluate accuracy against a single \"correct\" answer, making it difficult to characterise an LLM's cultural preference prior ","authors":["Bhuvan Arora","Devesh Saraogi","Sravya Varada","Dhruv Kumar"],"url":"https://arxiv.org/abs/2609.10253v1","arxiv_id":"2609.10253v1","published":"2026-09-09T14:40:08Z"},{"title":"A-JIT: Agentic Just-In-Time Software Construction","abstract":"Traditional software delivery assumes a static paradigm: code is constructed prior to execution and deployed as a fixed artifact. We present Agentic Just-In-Time Software Construction (A-JIT), a paradigm that replaces static binaries with dynamic, software systems that can perpetually evolve to meet changing demands. In A-JIT, an application is an integrated assembly comprising code, a runtime harness, and an embedde","authors":["Mark Marron","Earl T. Barr"],"url":"https://arxiv.org/abs/2609.10248v1","arxiv_id":"2609.10248v1","published":"2026-09-09T14:36:51Z"},{"title":"LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented Generation","abstract":"Graph-based retrieval can improve multi-hop question answering, but existing approaches often incur high query-time costs and produce diffuse, oversized contexts that reduce generation efficiency. We present LiteRAG, a graph-based retrieval method that replaces expensive retrieval-time LLM control with query-conditioned algorithmic exploration and reasoning-chain context construction. On DistComp, a benchmark for mul","authors":["Daniel Alejandro Coll Tejeda","Pedro García López","Daniel Barcelona-Pons"],"url":"https://arxiv.org/abs/2609.10239v1","arxiv_id":"2609.10239v1","published":"2026-09-09T14:32:07Z"},{"title":"Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search","abstract":"Feature transformation improves predictive performance on tabular data by constructing informative abstractions from raw features. Recent generative approaches encode transformation knowledge into continuous embedding spaces for efficient exploration of candidate strategies, but face three key limitations: (1) overlooking hierarchical relationships between low-level features, operations, and high-level abstractions; ","authors":["Rui Liu","Tao Zhe","Yanyong Huang","Sankha Narayan Guria","Xiao Luo","Wei Fan"],"url":"https://arxiv.org/abs/2609.10225v1","arxiv_id":"2609.10225v1","published":"2026-09-09T14:23:34Z"}],"history":{"events":[{"year":2015,"text":"Elizabeth II (pictured) became the longest-reigning monarch of the United Kingdom, surpassing Queen Victoria.","url":"https://en.wikipedia.org/wiki/Elizabeth_II"},{"year":2010,"text":"A natural-gas pipeline in San Bruno, California, exploded and \"shot a fireball more than 1,000 feet (300 m) in the air\", killing eight people.","url":"https://en.wikipedia.org/wiki/Natural_gas"},{"year":2001,"text":"Two al-Qaeda attackers assassinated Ahmad Shah Massoud, a pivotal Afghan resistance leader, two days before the September 11 attacks in the United States.","url":"https://en.wikipedia.org/wiki/Al-Qaeda"},{"year":1999,"text":"The first banknotes of the Portrait Series of the Singapore dollar were introduced by the Board of Commissioners of Currency.","url":"https://en.wikipedia.org/wiki/Singapore_Portrait_Series_currency_notes"},{"year":1999,"text":"The first banknotes of the Portrait Series of the Singapore dollar were introduced by the Board of Commissioners of Currency.","url":"https://en.wikipedia.org/wiki/Singapore_Portrait_Series_currency_notes"},{"year":1971,"text":"Imagine, the second solo album by John Lennon (pictured), was released.","url":"https://en.wikipedia.org/wiki/Imagine_(John_Lennon_album)"},{"year":1969,"text":"Allegheny Airlines Flight 853 collided in mid-air with a Piper PA-28 Cherokee flown by a student pilot near Fairland, Indiana, killing all 83 occupants of and destroying both aircraft.","url":"https://en.wikipedia.org/wiki/Allegheny_Airlines_Flight_853"},{"year":1962,"text":"French president Charles de Gaulle delivered his \"speech to the German youth\" to 20,000 people in the courtyard of Ludwigsburg Palace (pictured).","url":"https://en.wikipedia.org/wiki/Charles_de_Gaulle"},{"year":1962,"text":"French president Charles de Gaulle delivered his \"speech to the German youth\" to 20,000 people in the courtyard of Ludwigsburg Palace (pictured).","url":"https://en.wikipedia.org/wiki/Charles_de_Gaulle"},{"year":1957,"text":"U.S. president Dwight D. Eisenhower signed the Civil Rights Act of 1957, the first civil rights bill since Reconstruction.","url":"https://en.wikipedia.org/wiki/Dwight_D._Eisenhower"},{"year":1954,"text":"A magnitude-6.7 earthquake struck near Chlef, killing over 1,200 people and forcing the Algerian government to implement comprehensive reforms in building codes.","url":"https://en.wikipedia.org/wiki/1954_Chlef_earthquake"},{"year":1939,"text":"World War II: About 3,000 Polish Army troops began a nearly month-long defence of the Hel Peninsula during the German invasion of Poland.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1939,"text":"World War II: About 3,000 Polish Army troops began a nearly month-long defence of the Hel Peninsula during the German invasion of Poland.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1892,"text":"At the Lick Observatory in California, Edward Emerson Barnard discovered Amalthea (pictured), a moon of Jupiter and the last natural satellite to be discovered by visual observation.","url":"https://en.wikipedia.org/wiki/Lick_Observatory"},{"year":1892,"text":"At the Lick Observatory in California, Edward Emerson Barnard discovered Amalthea, a moon of Jupiter and the last natural satellite to be discovered by visual observation.","url":"https://en.wikipedia.org/wiki/Lick_Observatory"},{"year":1796,"text":"French Revolutionary Wars: A naval engagement between French and British fleets off the coast of Sumatra ended inconclusively.","url":"https://en.wikipedia.org/wiki/French_Revolutionary_Wars"},{"year":1791,"text":"The commissioners overseeing the construction of the United States' new capital city named it Washington, in honor of the first president.","url":"https://en.wikipedia.org/wiki/Washington%2C_D.C."},{"year":1791,"text":"The commissioners overseeing the construction of the United States' new capital city named it Washington, in honor of the first president.","url":"https://en.wikipedia.org/wiki/Washington%2C_D.C."}],"births":[{"year":2003,"text":"Luke Hughes, American ice hockey player","url":"https://en.wikipedia.org/wiki/Luke_Hughes_(ice_hockey)"},{"year":2001,"text":"Hailey Van Lith, American basketball player","url":"https://en.wikipedia.org/wiki/Hailey_Van_Lith"},{"year":2000,"text":"Ricky Pearsall, American football player","url":"https://en.wikipedia.org/wiki/Ricky_Pearsall"},{"year":1998,"text":"Jordan Nwora, Nigerian-American basketball player","url":"https://en.wikipedia.org/wiki/Jordan_Nwora"},{"year":1996,"text":"Gabby Williams, American-French basketball player","url":"https://en.wikipedia.org/wiki/Gabby_Williams"},{"year":1994,"text":"Yuliana Korolkova, Russian model and beauty pageant titleholder","url":"https://en.wikipedia.org/wiki/Yuliana_Korolkova"},{"year":1994,"text":"Clinton Gutherson, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Clinton_Gutherson"},{"year":1993,"text":"Cameron Cullen, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Cameron_Cullen"}],"deaths":[{"year":2025,"text":"Mark Norell, American vertebrate paleontologist (born 1957).","url":"https://en.wikipedia.org/wiki/Mark_Norell"},{"year":2024,"text":"John Cassaday, American comic book artist and writer (born 1971)","url":"https://en.wikipedia.org/wiki/John_Cassaday"},{"year":2024,"text":"James Earl Jones, American actor (born 1931)","url":"https://en.wikipedia.org/wiki/James_Earl_Jones"},{"year":2024,"text":"Caterina Valente, Italian-French singer and dancer (born 1931)","url":"https://en.wikipedia.org/wiki/Caterina_Valente"},{"year":2015,"text":"Annemarie Bostroem, German poet, playwright, and songwriter (born 1922)","url":"https://en.wikipedia.org/wiki/Annemarie_Bostroem"},{"year":2015,"text":"Einar H. Ingman Jr., American sergeant, Medal of Honor recipient (born 1929)","url":"https://en.wikipedia.org/wiki/Einar_H._Ingman_Jr."},{"year":2015,"text":"K. Kunaratnam, Sri Lankan physicist and academic (born 1934)","url":"https://en.wikipedia.org/wiki/K._Kunaratnam"},{"year":2014,"text":"Montserrat Abelló i Soler, Spanish poet and translator (born 1918)","url":"https://en.wikipedia.org/wiki/Montserrat_Abell%C3%B3_i_Soler"}]},"census":{"panel_version":2,"probed":14770,"error_rate":30.74,"degraded":false,"rates":{"head":10.9,"tail":4.1,"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. 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