{"date":"2026-08-24","schema_version":1,"captured_at":"2026-08-25T22:49:56.928Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Spider-Man: Brand New Day","views":191809,"rank":4,"extract":"Spider-Man: Brand New Day is a 2026 American superhero film based on the Marvel Comics character Spider-Man. Produced by Columbia Pictures, Marvel Studios, and Pascal Pictures, and distributed by Sony Pictures Releasing, it is the 38th film in the Marvel Cinem","url":"https://en.wikipedia.org/wiki/Spider-Man%3A_Brand_New_Day","thumb":"https://upload.wikimedia.org/wikipedia/en/9/9a/Spider-Man_Brand_New_Day_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Hayden Panettiere","views":175905,"rank":5,"extract":"Hayden Lesley Panettiere was an American actress and singer. 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engines","points":188,"comments":94,"url":"https://boydkane.com/essays/llms-could-control-their-host-machines-by-exploiting-inference-engines","discussion":"https://news.ycombinator.com/item?id=49424387"},{"title":"FDA clears blood test to aid evaluation for Alzheimer's disease","points":187,"comments":105,"url":"https://medicine.washu.edu/news/fda-clears-blood-test-to-aid-evaluation-for-alzheimers-disease/","discussion":"https://news.ycombinator.com/item?id=49415893"},{"title":"One corner of China’s internet is insisting that the Tang Dynasty never existed","points":176,"comments":172,"url":"https://www.cnn.com/2026/08/19/style/china-tang-dynasty-never-existed-hoax-intl-hnk","discussion":"https://news.ycombinator.com/item?id=49425819"}],"research":[{"title":"How to Train a Critic Stably and Efficiently","abstract":"Group-based reinforcement learning methods such as GRPO for large language models avoid training a critic by sampling multiple responses for each prompt. A reliable critic could instead estimate token-level advantages from one response, but standard critic-based training recipes are often unstable. We study this instability and develop \\textbf{Best-Practice Critic Optimization (BPCO)}, a recipe that combines DPPO, va","authors":["Penghui Qi","Xiangxin Zhou","Wee Sun Lee"],"url":"http://arxiv.org/abs/2608.23566v1","arxiv_id":"2608.23566v1","published":"2026-08-24T17:59:39Z"},{"title":"ReWorld: An Interactive World Model with Long-Horizon Memory","abstract":"An interactive world model must follow the user's actions, remember the places it has shown, and stream in real time. The tension is structural: control wants a short horizon, memory wants an unbounded one. ReWorld separates the two during training and bounds them at inference. Mixed per-head attention windows confine most heads to the recent past while a small set of global heads attends over the entire history, and","authors":["Zhifei Chen","Luozhou Wang","Guibao Shen","Dongyu Yan","Shuai Yang","Tianshuo Xu"],"url":"http://arxiv.org/abs/2608.23565v1","arxiv_id":"2608.23565v1","published":"2026-08-24T17:59:05Z"},{"title":"SWE Refactor Bench: Can Coding Agents Complete a Long-Horizon, Whole-Repository Stack Migration?","abstract":"Modern software systems accumulate technical debt over decades of development, which makes migration expensive and largely manual. As coding agents become increasingly capable at bug fixing, can they autonomously perform such migrations? Existing benchmarks cannot answer this question because they evaluate only behavioural correctness, not whether the migration actually occurred. This leads an easy hack: agents copy ","authors":["Deyao Hong","Yizhe Chi","Wenyi Li","Xiaoqiu Wang","Mingju Gao","Kaisen Yang"],"url":"http://arxiv.org/abs/2608.23564v1","arxiv_id":"2608.23564v1","published":"2026-08-24T17:59:04Z"},{"title":"EG-ARSA: An Expert-Grounded Open Model for Visual Road Safety Auditing in Low-Resource Settings","abstract":"Road traffic injuries remain a major challenge in low- and middle-income countries, where proactive road safety auditing is limited by incomplete crash records, shortages of qualified auditors, and the high cost of large-scale field inspections. To address this problem, we propose Expert-Grounded Distillation (EGD), a novel artificial intelligence framework that transfers institutional road safety expertise into a co","authors":["Md Thamed Bin Zaman Chowdhury","Moazzem Hossain"],"url":"http://arxiv.org/abs/2608.23563v1","arxiv_id":"2608.23563v1","published":"2026-08-24T17:58:41Z"},{"title":"Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography","abstract":"Ballistocardiography (BCG) is promising for unobtrusive long-term blood pressure (BP) monitoring in laboratory settings, but traditional BCG signals are vulnerable to the variations in body-bed interaction with shifted fiducial points in temporal or amplitude axis, and BP varies with personal hemodynamic changes, causing misaligned representations that affect model generalizability and robustness. In this work, we pr","authors":["Yuanyuan Zhang","Yida Zhang","Jiahui Li","Yuyan Wu","Fei Dou","Xiao Yin"],"url":"http://arxiv.org/abs/2608.23562v1","arxiv_id":"2608.23562v1","published":"2026-08-24T17:58:35Z"},{"title":"Prime Agent: A Self-Improving RLM Harness","abstract":"Language models are sequential processors, but long-horizon agency requires external information and computation beyond model weights and active context. Prime Agent is an open-source harness for long-horizon evaluation and coding-agent workflows. A persistent IPython REPL follows the Recursive Language Model abstraction for programmatic context processing and test-time compute, while Continual Harness preserves hist","authors":["Seth Karten","Alex L. Zhang","Kevin Thomas","Sebastian Müller","Elie Bakouch","Daniel Auras"],"url":"http://arxiv.org/abs/2608.23552v1","arxiv_id":"2608.23552v1","published":"2026-08-24T17:54:19Z"},{"title":"ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings","abstract":"Recent advances in continuous diffusion and flow-based language models (LMs) have achieved performance competitive with discrete LMs. However, existing continuous frameworks still rely on decoders supervised with cross entropy (CE) because the flow trajectories are not guaranteed to terminate at valid token embeddings. Motivated by this limitation, we introduce \\textbf{ConvergeFlow}, an embedding-space flow-based LM,","authors":["Na Li","Yuchen Jiao","Changxiao Cai","Gen Li"],"url":"http://arxiv.org/abs/2608.23551v1","arxiv_id":"2608.23551v1","published":"2026-08-24T17:54:14Z"},{"title":"How AI Assistance Affects Human Skill Development: A Study of Learning with Logic Puzzles","abstract":"While AI assistance can improve human task performance in the short term, it may also undermine the development of skills in the longer term. We examine this tension in a controlled logic-puzzle experiment involving on-demand AI assistance, where participants complete tasks before, during, and after AI is available. By experimentally varying AI request costs, we find that lower-cost assistance induces more frequent A","authors":["Shang Wu","Catarina G Belem","Shuyuan Fu","Mark Steyvers","Padhraic Smyth"],"url":"http://arxiv.org/abs/2608.23543v1","arxiv_id":"2608.23543v1","published":"2026-08-24T17:46:11Z"},{"title":"The Interaction Tax: When Communication Erases Diversity in Multi-Agent Teams","abstract":"Does multi-agent LLM interaction help or hurt? Some work reports gains from debate (Du et al., 2024), critique loops (Chen et al., 2025), and mixture-of-agents synthesis (Wang et al., 2025), while other work finds that interaction adds cost without improving quality under equal budgets (Tran & Kiela, 2026; Xu et al., 2026; Jarrett et al., 2025), or that independent sampling already captures multi-agent gains (Li ","authors":["Summer Eunhyung Ann","Haokun Liu","Chenhao Tan"],"url":"http://arxiv.org/abs/2608.23541v1","arxiv_id":"2608.23541v1","published":"2026-08-24T17:45:15Z"},{"title":"Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition","abstract":"The continual evolution of malware variants necessitates detection systems that can adapt to new threats without retraining from scratch. However, continually updating models on new data often leads to catastrophic forgetting, where previously learned knowledge is overwritten. While continual learning has been increasingly explored for malware detection, the specific setting of Few-Shot Class-Incremental Learning (FS","authors":["Kyle Stein","Guillermo Francia","III Eman El-Sheikh","Andrew Arash Mahyari"],"url":"http://arxiv.org/abs/2608.23536v1","arxiv_id":"2608.23536v1","published":"2026-08-24T17:41:15Z"},{"title":"Correcting a learned physical invariant improves world-model rollouts","abstract":"World models can predict video without learning dynamics that they reliably preserve. We test whether a frozen DreamerV3 trained only on pendulum video learns a scalar that its own latent transition treats as approximately conserved. A label-free search recovers the same energy-like invariant across independently trained conservative models, while the same procedure finds no comparable invariant in matched damped mod","authors":["Richard Bao"],"url":"http://arxiv.org/abs/2608.23526v1","arxiv_id":"2608.23526v1","published":"2026-08-24T17:29:40Z"},{"title":"EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards","abstract":"Earth-system analysis reconstructs changing physical processes from observations that differ in source, scale, timing, and modality. Natural hazards make this work consequential because incomplete evidence can change estimates of severity, exposure, and mechanism. We introduce EarthVerse, a benchmark that evaluates scientific agents through package-scoped investigations. Its 405 reproducible tasks are grounded in 199","authors":["Zhiqing Cui","Xinxiang Yin","Yihong Tang","Xinglang Zhang","Yuanzhe Hu","Siru Zhong"],"url":"http://arxiv.org/abs/2608.23525v1","arxiv_id":"2608.23525v1","published":"2026-08-24T17:29:16Z"},{"title":"The Measurement Revolution? Credible Measurement and Inference in the Age of AI","abstract":"Artificial intelligence (AI) is transforming measurement in economics. AI models convert unstructured data, such as text and images, into structured variables at low cost, making previously prohibitive measurement feasible at scale. This shifts the bottleneck from finding any scalable measure of a phenomenon to choosing among many plausible ones, which may support different empirical conclusions. This review provides","authors":["Melissa Dell","Ashesh Rambachan"],"url":"http://arxiv.org/abs/2608.23524v1","arxiv_id":"2608.23524v1","published":"2026-08-24T17:28:34Z"},{"title":"When Names Cross Scripts: A Source-Grounded Benchmark for Historical Entity Reconciliation in the Mongol World","abstract":"Historical people may appear under different languages, scripts, and transcription traditions, while distinct individuals may share highly similar or even identical names. This makes historical identity reconciliation more than a problem of string matching or transliteration. We introduce MHER, a provenance-controlled benchmark for pairwise reconciliation of person-name attestations from the Mongol world. MHER contai","authors":["Xiang Chen","Zeyu Zhang"],"url":"http://arxiv.org/abs/2608.23507v1","arxiv_id":"2608.23507v1","published":"2026-08-24T17:10:36Z"},{"title":"Mitigating Reasoning-Induced Misalignment via Safety-Direction Penalty","abstract":"Reasoning-Induced Misalignment, where fine-tuning on reasoning data containing no harmful content, including mathematics, code, and problem-solving with chain-of-thought traces can induce harmful behaviors of LLM, posing a serious challenge to the safety of LLM reasoning. Cross-architecture, cross-scale, and cross-dataset checks show that RIM does not always emerge. Previous work attributed RIM to neuron-level entang","authors":["Yipeng Zhao","Qishun Yang","Shenzhe Zhu","Shu Yang","Di Wang"],"url":"http://arxiv.org/abs/2608.23497v1","arxiv_id":"2608.23497v1","published":"2026-08-24T16:57:28Z"},{"title":"SRPO: Self-Reflective Policy Optimization for Long-Horizon Reasoning","abstract":"Self-reflection is a powerful mechanism for credit assignment in human learning, converting sparse outcome feedback into actionable guidance. However, its potential for post-training Large Language Models (LLMs) remains underexplored. We propose Self-Reflective Policy Optimization (SRPO), a framework that internalizes this capability. SRPO enables LLMs to analyze their own completed trajectories, synthesize errors in","authors":["Jialong Liu","Yuling Shi","Ning Yang","Xiaodong Gu","Zuchao Li"],"url":"http://arxiv.org/abs/2608.23493v1","arxiv_id":"2608.23493v1","published":"2026-08-24T16:55:09Z"},{"title":"Multi-Modal Semantic Expansion with Constrained LLM Reranking for Conversational Music Recommendation","abstract":"We present Team Semiintelligencn's solution for the ACM RecSys 2026 TalkPlayData Challenge, addressing conversational music recommendation through a multi-modal and personalized conversational recommender system. Our submitted system employs a three-stage pipeline: (1) multi-modal retrieval constructing decay-weighted centroids across seven dense embedding spaces - track- and user-level CF-BPR, Qwen3 (metadata, lyric","authors":["Naman Garg","Sarika Jain","George Fazekas"],"url":"http://arxiv.org/abs/2608.23484v1","arxiv_id":"2608.23484v1","published":"2026-08-24T16:48:50Z"},{"title":"Act with Intent: Distilling Behavior Intent for Vision-Language-Action Models","abstract":"Vision-Language-Action (VLA) models can turn multimodal context into robot actions, but their action decoders are still trained largely by behavior cloning. This supervises which motor command was demonstrated while leaving implicit the local objective served by the behavior under the instruction. Future-based supervision enriches action learning with frames, latent observations, trajectories, or motion representatio","authors":["Sangoh Lee","Sangwoo Mo","Wook-Shin Han"],"url":"http://arxiv.org/abs/2608.23478v1","arxiv_id":"2608.23478v1","published":"2026-08-24T16:42:49Z"},{"title":"StrategyBench: Evaluating Explicit Strategy Induction in Large Language Models","abstract":"As large language models are increasingly used in data-scarce and evolving task scenarios, few-shot in-context learning (ICL) has become a key paradigm for task adaptation. However, direct ICL often uses a small set of examples without explicitly abstracting task rules, making it sensitive to example construction. In contrast, human learners often reduce such sensitivity by first summarizing task rules from examples ","authors":["Jinghan Tan","Yuanzheng Wang","Lu Chen","Zijun Chen","Yuqian Wang","Maosong Sun"],"url":"http://arxiv.org/abs/2608.23475v1","arxiv_id":"2608.23475v1","published":"2026-08-24T16:41:10Z"},{"title":"What's the Catch? Evaluating Temporal Consistency in Vision-Language Models","abstract":"Vision-language models (VLMs) achieve strong performance on video and image-sequence benchmarks, yet it remains unclear whether they capture temporal structure. To study this question, we formulate temporal grounding as an anomaly detection problem, providing a simple and controlled evaluation that directly tests sensitivity to temporal consistency. We introduce TimeCatch, where temporal anomalies are created by swap","authors":["Marek Hradil","Danae Sánchez Villegas"],"url":"http://arxiv.org/abs/2608.23474v1","arxiv_id":"2608.23474v1","published":"2026-08-24T16:40:49Z"},{"title":"MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters","abstract":"Time series forecasting (TSF) is evolving toward multimodal and agentic settings, yet using foundation models remains uneconomical in resource-constrained scenarios, where compact, specialized forecasters are more desirable. However, lightweight forecasters typically require substantial training data, limiting their use in domains with scarce, slowly accumulated, or privacy-sensitive time series. To address this dile","authors":["ChengAo Shen","Wenchao Yu","Fangyu Wu","Dongjin Song","Hanghang Tong","Dongsheng Luo"],"url":"http://arxiv.org/abs/2608.23473v1","arxiv_id":"2608.23473v1","published":"2026-08-24T16:40:25Z"},{"title":"InjecMEM: Memory Injection Attack on LLM Agent Memory Systems","abstract":"Memory is becoming a default subsystem in deployed LLM agents to provide persistent personalization and continuity. This naturally prompts a question: will memory system introduce new vulnerabilities into agents? Thus we propose InjecMEM, a novel memory injection attack paradigm that requires only a single interaction (no read/edit access to memory store) to steer later responses of related queries toward a pre-speci","authors":["Hanling Tian","Gengyu Zhang","Zeyang Sha","Jingying Wang","Yuhang Liu","Zhehao Huang"],"url":"http://arxiv.org/abs/2608.23471v1","arxiv_id":"2608.23471v1","published":"2026-08-24T16:37:50Z"},{"title":"Machine Learning Assisted Inverse Design of Pixelated mmWave Patch Antennas","abstract":"A machine learning-assisted framework for the inverse design of pixelated millimetre-wave patch antennas targeting the 22--30 GHz band is presented. The antenna surface is represented as a 19x23 binary pixel grid on a Rogers RT/duroid 5880 substrate, where each pixel is either metal or empty, with a continuous electrical path from the feed enforced by design. An initial dataset of approximately 6,000 full-wave CST si","authors":["Nadeem Rather","Holger Claussen","Lester Ho"],"url":"http://arxiv.org/abs/2608.23469v1","arxiv_id":"2608.23469v1","published":"2026-08-24T16:37:26Z"},{"title":"Reward-Free Continual Adaptation for Resilient Space Robots","abstract":"Space robots operate in extreme environments where hardware degradation can critically compromise traditional control strategies. While continual reinforcement learning offers a promising mechanism for online adaptation, it inherently requires access to a reward signal during deployment. However, precise reward computation in space is often infeasible due to the lack of external tracking systems and the overall compl","authors":["Andrej Orsula","Miguel Olivares-Mendez","Carol Martinez"],"url":"http://arxiv.org/abs/2608.23452v1","arxiv_id":"2608.23452v1","published":"2026-08-24T16:23:36Z"},{"title":"Characterizing Necessary Losers to Explain Tournaments Losers","abstract":"We study the problem of formally explaining why a candidate was not selected by a given tournament rule, by identifying sub-tournaments in which the candidate loses independently of how the rest of the tournament is completed. We define destructive minimal supports as any minimal sub-tournaments satisfying this property, which in formal explainable artificial intelligence correspond to abductive explanations for the ","authors":["Contet Clément","Umberto Grandi","Jérôme Mengin"],"url":"http://arxiv.org/abs/2608.23446v1","arxiv_id":"2608.23446v1","published":"2026-08-24T16:17:25Z"}],"history":{"events":[{"year":2006,"text":"The International Astronomical Union passed a resolution redefining the term planet and classifying Pluto as a dwarf planet.","url":"https://en.wikipedia.org/wiki/International_Astronomical_Union"},{"year":1992,"text":"Hurricane Andrew, the third-most intense Category 5 cyclone to impact the United States in the 20th century, made landfall in southern Florida.","url":"https://en.wikipedia.org/wiki/Hurricane_Andrew"},{"year":1966,"text":"Cultural Revolution: Red Guards vandalised the Jokhang (depicted), the holiest Buddhist temple in Tibet.","url":"https://en.wikipedia.org/wiki/Cultural_Revolution"},{"year":1963,"text":"Buddhist crisis: The U.S. State Department ordered Ambassador Henry Cabot Lodge Jr. (pictured) to encourage South Vietnamese Army officers to oust Ngo Dinh Diem if he did not willingly remove Ngo Dinh Nhu from his unofficial position of power.","url":"https://en.wikipedia.org/wiki/Buddhist_crisis"},{"year":1954,"text":"In the midst of a political crisis, Brazilian president Getúlio Vargas fatally shot himself in the Catete Palace in Rio de Janeiro.","url":"https://en.wikipedia.org/wiki/Get%C3%BAlio_Vargas"},{"year":1942,"text":"World War II: At the Battle of the Eastern Solomons, bombers from the U.S. aircraft carrier Saratoga sank the Japanese aircraft carrier Ryūjō near Santa Isabel Island, contributing to an Allied victory.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1941,"text":"Adolf Hitler ordered the suspension of the T4 euthanasia program of the mentally ill and disabled, although killings continued in secret for the remainder of World War II.","url":"https://en.wikipedia.org/wiki/Adolf_Hitler"},{"year":1921,"text":"The Royal Navy's R.38, the world's largest airship at the time, was destroyed by a structural failure over Hull, killing 44 of the 49 crew aboard.","url":"https://en.wikipedia.org/wiki/Royal_Navy"},{"year":1914,"text":"The Battle of Cer ended with the first Allied victory of World War I.","url":"https://en.wikipedia.org/wiki/Battle_of_Cer"},{"year":1889,"text":"The New Zealand Native football team, predominantly comprising Māori players, concluded their 107-game tour, the longest in rugby union history.","url":"https://en.wikipedia.org/wiki/1888%E2%80%9389_New_Zealand_Native_football_team"},{"year":1888,"text":"89 New Zealand Native football team","url":null},{"year":1857,"text":"The New York City branch of the Ohio Life Insurance and Trust Co. collapsed following widespread embezzlement, leading to a severe recession that caused about 5,000 businesses to fail.","url":"https://en.wikipedia.org/wiki/Ohio_Life_Insurance_and_Trust_Company"},{"year":1814,"text":"War of 1812: British forces invaded Washington, D.C., setting fire to various U.S. government buildings, including the White House.","url":"https://en.wikipedia.org/wiki/War_of_1812"},{"year":1781,"text":"American Revolutionary War: Near present-day Aurora, Indiana, American Indians led by Joseph Brant killed or captured all members of a Pennsylvania militia.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1704,"text":"War of the Spanish Succession: An Anglo-Dutch fleet engaged a French naval force at the Battle of Málaga in the Mediterranean Sea.","url":"https://en.wikipedia.org/wiki/War_of_the_Spanish_Succession"},{"year":1662,"text":"The 1662 Book of Common Prayer was legally enforced as the liturgy of the Church of England, precipitating the Great Ejection of Dissenter ministers from their benefices.","url":"https://en.wikipedia.org/wiki/Book_of_Common_Prayer_(1662)"},{"year":1643,"text":"A Dutch expedition (depicted) arrived at the mouth of the Valdivia River, in present-day Chile, to establish a new colony in the ruins of the abandoned Spanish settlement of Valdivia.","url":"https://en.wikipedia.org/wiki/Dutch_expedition_to_Valdivia"},{"year":1456,"text":"The oldest known version of the Gutenberg Bible, the first major book produced on a printing press, was completed.","url":"https://en.wikipedia.org/wiki/Gutenberg_Bible"}],"births":[{"year":2001,"text":"Mildred Maldonado, Mexican rhythmic gymnast","url":"https://en.wikipedia.org/wiki/Mildred_Maldonado"},{"year":2000,"text":"Griffin Gluck, American actor","url":"https://en.wikipedia.org/wiki/Griffin_Gluck"},{"year":1998,"text":"Sofia Richie, American model and social media personality","url":"https://en.wikipedia.org/wiki/Sofia_Richie"},{"year":1997,"text":"Alan Walker, British-Norwegian DJ and record producer","url":"https://en.wikipedia.org/wiki/Alan_Walker"},{"year":1997,"text":"Karoline Leavitt, White House Press Secretary","url":"https://en.wikipedia.org/wiki/Karoline_Leavitt"},{"year":1995,"text":"Noah Vonleh, American basketball player","url":"https://en.wikipedia.org/wiki/Noah_Vonleh"},{"year":1995,"text":"Lady Amelia Windsor, member of the British royal family","url":"https://en.wikipedia.org/wiki/Lady_Amelia_Windsor"},{"year":1994,"text":"Kelsey Plum, American basketball player","url":"https://en.wikipedia.org/wiki/Kelsey_Plum"}],"deaths":[{"year":2024,"text":"Christoph Daum, German footballer and manager (born 1953)","url":"https://en.wikipedia.org/wiki/Christoph_Daum"},{"year":2023,"text":"Bray Wyatt, American wrestler (born 1987)","url":"https://en.wikipedia.org/wiki/Bray_Wyatt"},{"year":2021,"text":"Charlie Watts, English musician (born 1941)","url":"https://en.wikipedia.org/wiki/Charlie_Watts"},{"year":2020,"text":"Gail Sheehy, American author, journalist, and lecturer (born 1936)","url":"https://en.wikipedia.org/wiki/Gail_Sheehy"},{"year":2017,"text":"Jay Thomas, American actor, comedian, and radio talk show host (born 1948)","url":"https://en.wikipedia.org/wiki/Jay_Thomas"},{"year":2016,"text":"Walter Scheel, German politician, 4th President of Germany (born 1919)","url":"https://en.wikipedia.org/wiki/Walter_Scheel"},{"year":2015,"text":"Charlie Coffey, American football player and coach (born 1934)","url":"https://en.wikipedia.org/wiki/Charlie_Coffey"},{"year":2015,"text":"Joseph F. Traub, German-American computer scientist and academic (born 1932)","url":"https://en.wikipedia.org/wiki/Joseph_F._Traub"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}