{"date":"2026-09-17","schema_version":1,"captured_at":"2026-09-18T09:14:56.326Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Macklemore","views":213767,"rank":4,"extract":"Benjamin Hammond Haggerty, better known by his stage name Macklemore, is an American rapper. A native of Seattle, Washington, he started his career in 2000 as an independent artist releasing Open Your Eyes (2000), The Language of My World (2005), and The Unpla","url":"https://en.wikipedia.org/wiki/Macklemore","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/9/99/P2N2022Macklemore_1.jpg/330px-P2N2022Macklemore_1.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Robert Kraft","views":196796,"rank":5,"extract":"Robert Hearth Kenneth Kraft is an American businessman. 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Leak","points":151,"comments":46,"url":"https://www.crowdsec.net/blog/crowdsec-statement-source-code-exposure","discussion":"https://news.ycombinator.com/item?id=49742355"}],"research":[{"title":"Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation","abstract":"Coding agents have emerged as a promising paradigm for robot manipulation: a language model writes the robot controller as a program, and agents built in this way now operate robots without robot-specific training.Whether this paradigm is also safe, however, has not been asked. We evaluate coding agent under a safety constraint, where each task pairs a manipulation goal with an obstacle the robot must not touch. The ","authors":["Bingxin Xu","Yuzhang Shang","Zhen Dong","Emilio Ferrara"],"url":"https://arxiv.org/abs/2609.20822v1","arxiv_id":"2609.20822v1","published":"2026-09-17T17:59:58Z"},{"title":"Workspace Models: Lightweight Robotic Memory via Saliency-Driven Supervision","abstract":"Complex robotic manipulation tasks frequently require a long-term memory of past events and actions. As conditioning on full histories renders policies prone to spurious correlations and degrades performance, many approaches to policy memory involve compressing historical information through expensive VLM queries in-the-loop to process only task-salient information. In this paper, we propose an alternative approach i","authors":["Nitish Dashora","Douglas Chen","Idan Shenfeld","John Marangola","Pulkit Agrawal","Max Simchowitz"],"url":"https://arxiv.org/abs/2609.20820v1","arxiv_id":"2609.20820v1","published":"2026-09-17T17:59:53Z"},{"title":"FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations","abstract":"Modeling articulated objects from sparse monocular views is challenging because each observation reveals only partial geometry and motion evidence. Most feed-forward methods infer articulation from a single observation and therefore rely heavily on learned category-level shape priors. We present FAMOS, a feed-forward model that predicts movable-part segmentation and joint parameters from a sparse, unordered set of pa","authors":["Kevin Qu","Tao Sun","Massimiliano Viola","Liyuan Zhu","Zhizhuo Zhou","Sayan Deb Sarkar"],"url":"https://arxiv.org/abs/2609.20817v1","arxiv_id":"2609.20817v1","published":"2026-09-17T17:59:40Z"},{"title":"Paint-Anything: Unified Any-Color Control for Image Generation and Editing","abstract":"Professional design requires any-color control: the ability to specify an object's target color with any 24-bit hex value for image generation and editing. Prior work has explored color generation, editing, and colorization, but often relies on dedicated color representations or specialized inference procedures. Advances in large language models offer a simpler starting point: even compact models can associate hex va","authors":["Ji Xie","Dewei Zhou","Xinyu Huang","Zhennan Chen","Xun Wang"],"url":"https://arxiv.org/abs/2609.20816v1","arxiv_id":"2609.20816v1","published":"2026-09-17T17:59:30Z"},{"title":"ERCPMP-Gx: Endoscopic Image and Video Dataset for Morphological, Histopathological, and Genomic Characterization of Colorectal Polyposis","abstract":"Hereditary polyposis syndromes can be precursor lesions to colorectal cancer and are associated with a broad spectrum of extracolonic tumors. Early identification and accurate classification of these syndromes are essential for timely diagnosis, individualized patient management, and targeted surveillance strategies for affected families. However, public endoscopic datasets are largely organized around the individual","authors":["Zahra Ghaffari","Massih Bahar","Mojgan Forootan","Ali Darvishi","Hamidreza Bolhasani"],"url":"https://arxiv.org/abs/2609.20815v1","arxiv_id":"2609.20815v1","published":"2026-09-17T17:59:28Z"},{"title":"Quantifying Overclaiming Propensity in Frontier LLM Agents","abstract":"Frontier coding agents are increasingly trusted to work autonomously for long periods, yet an agent's final response is often the only account of that work a user sees. We quantify the propensity of frontier agents to \\emph{overclaim} task completion, a misrepresentation that can mislead the user. An agent overclaims when its final response contradicts information in its context. This definition requires no inference","authors":["Nolan Smyth","Yorguin-Jose Mantilla-Ramos","Pascal Jr Tikeng Notsawo","Saskia Helbling","Alberto Tosato","Mohamed Amine Merzouk"],"url":"https://arxiv.org/abs/2609.20812v1","arxiv_id":"2609.20812v1","published":"2026-09-17T17:59:04Z"},{"title":"An Empirical Study of Harness Design for Coding Agents","abstract":"Coding harnesses shape how autonomous coding agents translate model capabilities into long-horizon software-engineering performance, yet existing work typically evaluates harnesses as monolithic systems, leaving the effectiveness of individual components unclear. To enable component-level comparisons, we study this question with a lightweight coding harness whose execution loop is fixed while three components are var","authors":["Run-Ze Fan","Zihao Zhang","Simin Ma","Yebowen Hu","Shouju Wang","Kaiqiang Song"],"url":"https://arxiv.org/abs/2609.20804v1","arxiv_id":"2609.20804v1","published":"2026-09-17T17:58:07Z"},{"title":"RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning","abstract":"Multi-turn agents trained with reinforcement learning (RL) receive a single scalar reward per trajectory, which motivates self on-policy distillation (OPD) to supply dense token-level supervision from a self-teacher with privileged task skills, letting a skill-free student internalize them. This recipe, however, is undermined by two findings in agentic tasks: privileged information alone does not always make a teache","authors":["Yan Yu","Zhengxi Lu","Yizhou Liu","Yichen Pan","Aozhe Wang","Qipeng Chen"],"url":"https://arxiv.org/abs/2609.20784v1","arxiv_id":"2609.20784v1","published":"2026-09-17T17:52:08Z"},{"title":"Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations","abstract":"Safety evaluations for large language models rely on surface-form classifiers that report declining harm scores across model generations. We provide evidence that this methodology is systematically incomplete: explicit discriminatory content is transformed rather than removed. We call this \\emph{harm laundering}. Analysing 450,000 gender-directed completions across 15 models spanning GPT-2 through to GPT-5 (OpenAI GP","authors":["Sarah Wyer","Sue Black","Noura Al Moubayed"],"url":"https://arxiv.org/abs/2609.20779v1","arxiv_id":"2609.20779v1","published":"2026-09-17T17:49:28Z"},{"title":"GeoAAC: Geometry-Based Adaptive Action Chunking from Denoising Trajectories in VLA Policies","abstract":"Action chunking is widely used for action generation and execution in Vision-Language-Action (VLA) policies, yet existing approaches commonly use a fixed action horizon. During a rollout, different task stages may require different levels of action continuity, control precision, and closed-loop feedback, making a fixed horizon unable to accommodate changing control requirements. We propose \\textbf{GeoAAC}, a geometry","authors":["Xin Chen","Sen Chen","Yujuan Ding","Jian Liu","Guoqing Wang","Wei Ye"],"url":"https://arxiv.org/abs/2609.20776v1","arxiv_id":"2609.20776v1","published":"2026-09-17T17:48:07Z"},{"title":"Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights","abstract":"Generative agents are increasingly used to select and narrate video highlights, but they typically operate over unstructured or frame-level representations. Their output is consequently difficult for a viewer to verify and steer toward individual preferences. We present the semantic action graph, a lightweight domain schema that represents a sports match as performer, action, recipient, moment, and state nodes connec","authors":["Tica Lin","Deepak Chandran","Gauri Jagatap","Chen Chen","Andrea Fanelli","David Gunawan"],"url":"https://arxiv.org/abs/2609.20768v1","arxiv_id":"2609.20768v1","published":"2026-09-17T17:46:03Z"},{"title":"Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation","abstract":"Evaluating an AI system requires disaggregated assessment, as performance varies across domains such as benchmark task types or conversation types in deployed agents. Exhaustive testing is expensive, so evaluation rests on a sample of labeled units. We treat the evaluation set as a finite population and seek accurate point and interval estimates of each domain mean. Direct estimators, including prediction-powered inf","authors":["Sho Kawano","Zehang Richard Li","Paul A. Parker"],"url":"https://arxiv.org/abs/2609.20758v1","arxiv_id":"2609.20758v1","published":"2026-09-17T17:42:29Z"},{"title":"RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents","abstract":"Effective troubleshooting agents in enterprise customer support depend on retrieving actionable guidance from similar historical cases, yet existing retrieval-augmented generation (RAG) systems treat support cases as static documents and overlook their multi-stage, stateful nature. We introduce RAFT (Retrieval-Augmented Framework for Troubleshooting Agents), a stateful RAG framework that abstracts each closed histori","authors":["Mingxuan Zhang","Xiaowen Wang","Anupma Sharan","Zhengyi Chen","Chenyu Diana Zhang","Shanshan Yang"],"url":"https://arxiv.org/abs/2609.20754v1","arxiv_id":"2609.20754v1","published":"2026-09-17T17:41:31Z"},{"title":"Large Language Models as Falsifiers for Cyber-Physical Systems","abstract":"Falsification searches for counterexamples to formal specifications in cyber-physical systems (CPS). With specifications written in Signal Temporal Logic (STL), falsification can be formulated as a robustness optimization problem, traditionally tackled with black-box search algorithms. In parallel, large language models (LLMs) have recently emerged as surprisingly effective optimizers when coupled with iterative prom","authors":["Ali ArjomandBigdeli","Jiawei Zhou","Stanley Bak"],"url":"https://arxiv.org/abs/2609.20752v1","arxiv_id":"2609.20752v1","published":"2026-09-17T17:40:04Z"},{"title":"Q&A on Any Spreadsheet Requires Interpreting Its Grid Structure","abstract":"Semantic cell annotation improves chunking interpretability for spreadsheets in LLM-driven RAG systems, aiding answer generation through enriched context rather than improved retrieval accuracy. We propose a novel framework of splitting any spreadsheet into interpretable chunks using cell role annotation. Our framework beats the state of the art, yet it faces a hard ceiling. Spreadsheets are fundamentally two-dimensi","authors":["Zofia Smoleń"],"url":"https://arxiv.org/abs/2609.20732v1","arxiv_id":"2609.20732v1","published":"2026-09-17T17:22:43Z"},{"title":"Deep Noir: Autonomous Steering Discovery via Architectural Chronometry in Transformer Models","abstract":"Activation steering modifies LLM behavior at inference time, but identifying where and how strongly to steer remains manual. We introduce Deep Noir, a framework that uses Logit Lens convergence and causal head-level attribution to autonomously discover optimal steering parameters. Across three scales (1B x 3, 2-3B x 2, and 7-9B x 4), our engine achieves 16.7 percentage-point improvement on spam at 1B (standard deviat","authors":["Frank E. Bobe","Gregory D. Vetaw","Darshan W. Bryner","Matthew G. Cook","Jose L. Salas-Vernis"],"url":"https://arxiv.org/abs/2609.20722v1","arxiv_id":"2609.20722v1","published":"2026-09-17T17:16:31Z"},{"title":"Don't Mask the Environment: Observation Supervision Changes How Agents Explore Under RL","abstract":"Agent trajectories record what an agent does and what happens next. Yet standard supervised fine-tuning (SFT) applies loss only to agent-authored action tokens, using environment observations as context but not as prediction targets. We ask whether this convention provides the best initialization for subsequent reinforcement learning. We introduce ActObs, which also supervises the observation tokens already present i","authors":["Juzheng Zhang","Disha Makhija","Manoj Ghuhan Arivazhagan","Vinayshekhar Bannihatti Kumar","Rashmi Gangadharaiah"],"url":"https://arxiv.org/abs/2609.20715v1","arxiv_id":"2609.20715v1","published":"2026-09-17T17:11:29Z"},{"title":"HIL-UMI: Bringing Human-in-the-Loop Post-Training of Vision-Language-Action Models to Universal Manipulation Interface","abstract":"Large-scale vision-language-action (VLA) models provide powerful priors for robot manipulation, yet adapting them to a specific deployment remains challenging. Supervised fine-tuning (SFT) on task-specific demonstrations provides a step toward deployment, but faces two persistent limitations: static data provide limited coverage of out-of-distribution states, and standard imitation objectives do not distinguish progr","authors":["Zimu Han","Yiming Zeng","Jiyao Zhang","Zihao Zhao","Yuanfei Wang","Yixiang Jin"],"url":"https://arxiv.org/abs/2609.20659v1","arxiv_id":"2609.20659v1","published":"2026-09-17T16:38:37Z"},{"title":"Ownership in AI-Assisted Everyday Tasks","abstract":"When does work done with AI still feel like ours? As AI becomes woven into everyday tasks, we must examine what happens to our sense of ownership and contribution when a machine shares in producing what we make. We report an exploratory qualitative survey in which participants were asked to describe two recent, self-selected tasks completed with AI: one that felt like their own and one that did not. We find that felt","authors":["Megan Wei","Melanie Subbiah","Audrey Lee","Annya Dahmani","Dave Edwards","Helen Edwards"],"url":"https://arxiv.org/abs/2609.20658v1","arxiv_id":"2609.20658v1","published":"2026-09-17T16:38:35Z"},{"title":"PAA: The Probabilistic Allen Algebra: A Generative and Complete Probabilistic Extension of Allen's Interval Relations","abstract":"Allen's interval algebra is a qualitative calculus for temporal relations, but its thirteen base relations are crisp predicates over exact interval boundaries. This is inadequate for temporal information from language, perception, databases, or uncertain histories, where times, durations, and boundaries are uncertain and expressions such as \"just before\" or \"roughly during\" have graded meaning. We develop the probabi","authors":["Julian Eggert"],"url":"https://arxiv.org/abs/2609.20634v1","arxiv_id":"2609.20634v1","published":"2026-09-17T16:20:38Z"},{"title":"Chronicle: Cut-Point Replay for Regression Testing of LLM Agents","abstract":"Large language model responses are non-deterministic, so failures in LLM agents are hard to reproduce: a failure depends on inference that is not bitwise reproducible, on tools that read changing state, and on a multi-step trajectory that a re-run rarely repeats. Record-and-replay makes a run reproducible, but existing agent tooling records runs only to trace or score them, not to test a code change against them. We ","authors":["Tisha Chawla","Susheem Koul"],"url":"https://arxiv.org/abs/2609.20625v1","arxiv_id":"2609.20625v1","published":"2026-09-17T16:09:57Z"},{"title":"A Simulation Platform for AUV Fault Recovery: Exploring LLM-Based Diagnostic Strategies","abstract":"Autonomous underwater vehicles (AUVs) operating beyond reliable communications must recover from failures without human intervention. We investigate an architecture in which conventional deterministic layered control autonomy manages normal operations, while an invokable large language model (LLM) serves as a diagnostic and recovery planner when onboard anomaly detection identifies performance outside expected limits","authors":["Khalid Halba","Kylie Cooper","James G. Bellingham"],"url":"https://arxiv.org/abs/2609.20620v1","arxiv_id":"2609.20620v1","published":"2026-09-17T16:03:13Z"},{"title":"Inference-Engine Fingerprinting Attacks are Practical: Exploring Model-Driven Environmental Discovery, Exploitation, and Escape","abstract":"Frontier AI models are rapidly gaining the ability to exploit vulnerabilities in complex pieces of software. The risk is not theoretical, as evidenced by recent sandbox escapes performed by frontier models at OpenAI and Anthropic. Discussions of how to sandbox inference stack components often focus on components other than the inference engine itself (e.g., network proxies or code execution environments). However, th","authors":["Sarah Radway","Andrew Cheng","Vijay Janapa Reddi","James Mickens"],"url":"https://arxiv.org/abs/2609.20614v1","arxiv_id":"2609.20614v1","published":"2026-09-17T15:59:45Z"},{"title":"Limits of Confidence in Diffusion","abstract":"Discrete diffusion, including remasking and uniform-state samplers, generate a sequence by writing multiple token positions per step, drawing each from a per-position distribution and choosing which positions to write from those same distributions. For domains of general interest (pixels, phonemes, or words) there are inherent dependencies between tokens. We show that a step matches the training distribution only whe","authors":["Russ Webb","Amitis Shidani","Alice Bizeul","Dan Busbridge"],"url":"https://arxiv.org/abs/2609.20581v1","arxiv_id":"2609.20581v1","published":"2026-09-17T15:36:53Z"},{"title":"Accelerating Visual Policy Learning with Sampling-Based Model Predictive Control","abstract":"Learning visual policies for locomotion and manipulation requires coordinating contact with the environment and can incur substantial computation and GPU memory costs. First-order policy gradients (FoPG) reduce training cost through differentiable simulation, but local optimization can converge to unintended contact patterns. To address this shortfall, we propose Sampling-Guided Policy Search (SGPS), which couples re","authors":["Yilang Liu","Haoxiang You","Qian Wang","Daniel Rakita","Ian Abraham"],"url":"https://arxiv.org/abs/2609.20575v1","arxiv_id":"2609.20575v1","published":"2026-09-17T15:33:07Z"}],"history":{"events":[{"year":2018,"text":"The Israeli Air Force conducted missile strikes that hit multiple targets in western Syria; Syrian air defences responding to the strikes accidentally downed a Russian plane.","url":"https://en.wikipedia.org/wiki/Israeli_Air_Force"},{"year":2011,"text":"Adbusters, a Canadian anti-consumerist publication, organized a protest against corporate influence on democracy at Zuccotti Park in New York City that became known as Occupy Wall Street.","url":"https://en.wikipedia.org/wiki/Adbusters"},{"year":2008,"text":"Seven al-Qaeda fighters attack the embassy of the United States in Sanaa, Yemen, leaving 20 people dead.","url":"https://en.wikipedia.org/wiki/Al-Qaeda_in_Yemen"},{"year":2008,"text":"Seven al-Qaeda fighters attacked the United States embassy in Sanaa, Yemen, leaving 20 people dead.","url":"https://en.wikipedia.org/wiki/Al-Qaeda_in_Yemen"},{"year":2001,"text":"American president George W. Bush delivered remarks at the Islamic Center of Washington (pictured) condemning Islamophobia in the aftermath of the September 11 attacks.","url":"https://en.wikipedia.org/wiki/George_W._Bush"},{"year":1985,"text":"Four years after AIDS was first identified in the United States, Ronald Reagan publicly acknowledged AIDS (video featured) for the first time.","url":"https://en.wikipedia.org/wiki/HIV%2FAIDS"},{"year":1980,"text":"Solidarity, a Polish trade union, was founded as the first independent labor union in an Eastern Bloc country.","url":"https://en.wikipedia.org/wiki/Solidarity_(Polish_trade_union)"},{"year":1970,"text":"The Jordanian army entered Amman as part of operations to oust Palestinian fedayeen from the country in events later known as Black September (smoke over city pictured).","url":"https://en.wikipedia.org/wiki/Amman"},{"year":1962,"text":"NASA announced the Next Nine astronauts selected for the purpose of landing on the moon.","url":"https://en.wikipedia.org/wiki/NASA"},{"year":1962,"text":"NASA announced the Next Nine astronauts selected for the purpose of landing on the Moon.","url":"https://en.wikipedia.org/wiki/NASA"},{"year":1958,"text":"Tintin in Tibet, the twentieth volume of The Adventures of Tintin by the Belgian cartoonist Hergé and which he regarded as his favourite in the series, began serialisation.","url":"https://en.wikipedia.org/wiki/Tintin_in_Tibet"},{"year":1939,"text":"Second World War: The Royal Navy lost its first warship in the war when German submarine U-29 torpedoed and sank HMS Courageous.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1939,"text":"World War II: The Soviet Union invaded Poland from the east, sixteen days after Nazi Germany's attack on the country from the west.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1939,"text":"World War II: The Soviet Union invaded Poland from the east, sixteen days after Nazi Germany's attack on the country from the west.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1914,"text":"Andrew Fisher, who in his previous term as premier oversaw a period of reform unmatched in the Commonwealth until the 1940s, became Prime Minister of Australia for the third time.","url":"https://en.wikipedia.org/wiki/Andrew_Fisher"},{"year":1878,"text":"A British surveyor was detained by the Zulu on the border with the Colony of Natal; a demand for reparations for the incident formed part of an ultimatum that led to the Anglo-Zulu War.","url":"https://en.wikipedia.org/wiki/Natal%E2%80%93Zululand_border_incident"},{"year":1862,"text":"American Civil War: Almost 23,000 total casualties were suffered at the Battle of Antietam near Sharpsburg, Maryland, where Confederate and Union troops fought to a tactical stalemate.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1859,"text":"Disgruntled with the legal and political structures of the United States, Joshua Norton (pictured) distributed letters to various newspapers in San Francisco proclaiming himself to be Emperor Norton.","url":"https://en.wikipedia.org/wiki/San_Francisco"}],"births":[{"year":2002,"text":"Elina Avanesyan, Russian-Armenian tennis player","url":"https://en.wikipedia.org/wiki/Elina_Avanesyan"},{"year":1999,"text":"Jaimee Fourlis, Australian tennis player","url":"https://en.wikipedia.org/wiki/Jaimee_Fourlis"},{"year":1999,"text":"Daniel Huttlestone, English actor","url":"https://en.wikipedia.org/wiki/Daniel_Huttlestone"},{"year":1998,"text":"Kim Dong-hyun, South Korean singer","url":"https://en.wikipedia.org/wiki/Kim_Dong-hyun_(singer%2C_born_1998)"},{"year":1997,"text":"Auston Matthews, American ice hockey player","url":"https://en.wikipedia.org/wiki/Auston_Matthews"},{"year":1996,"text":"Duje Ćaleta-Car, Croatian footballer","url":"https://en.wikipedia.org/wiki/Duje_%C4%86aleta-Car"},{"year":1996,"text":"Esteban Ocon, French Formula One racing driver","url":"https://en.wikipedia.org/wiki/Esteban_Ocon"},{"year":1996,"text":"Slayyyter, American singer and songwriter","url":"https://en.wikipedia.org/wiki/Slayyyter"}],"deaths":[{"year":2025,"text":"Roger Climpson, English-Australian journalist and television host (born 1932)","url":"https://en.wikipedia.org/wiki/Roger_Climpson"},{"year":2024,"text":"Nelson DeMille, American lieutenant and author (born 1943)","url":"https://en.wikipedia.org/wiki/Nelson_DeMille"},{"year":2024,"text":"Neil King Jr., American journalist and author (born 1959)","url":"https://en.wikipedia.org/wiki/Neil_King_Jr."},{"year":2024,"text":"JD Souther, American singer, songwriter, and actor (born 1945)","url":"https://en.wikipedia.org/wiki/JD_Souther"},{"year":2022,"text":"Maarten Schmidt, Dutch astronomer (born 1929)","url":"https://en.wikipedia.org/wiki/Maarten_Schmidt"},{"year":2021,"text":"Abdelaziz Bouteflika, Algerian politician, President of Algeria (born 1937)","url":"https://en.wikipedia.org/wiki/Abdelaziz_Bouteflika"},{"year":2020,"text":"Robert W. Gore, American engineer and businessman, co-inventor of Gore-Tex (born 1937)","url":"https://en.wikipedia.org/wiki/Robert_W._Gore"},{"year":2019,"text":"Cokie Roberts, American journalist and bestselling author (born 1943)","url":"https://en.wikipedia.org/wiki/Cokie_Roberts"}]},"census":{"panel_version":2,"probed":14770,"error_rate":19.79,"degraded":false,"rates":{"head":12.2,"tail":5.6,"ai_native":73.64}},"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."}