{"date":"2026-09-21","schema_version":1,"captured_at":"2026-09-22T09:33:32.477Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Lizzie Borden","views":1022634,"rank":2,"extract":"Lizzie Andrew Borden was an American woman who was tried and acquitted of the August 4, 1892, murders of her father and stepmother in Fall River, Massachusetts. No other individuals were charged with the murders.","url":"https://en.wikipedia.org/wiki/Lizzie_Borden","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/7/71/Lizzie_Borden_1890.jpg/330px-Lizzie_Borden_1890.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Resident Evil (2026 film)","views":268382,"rank":5,"extract":"Resident Evil is a 2026 horror film directed by Zach Cregger and written by Cregger and Shay Hatten, based on the Resident Evil video game franchise by Capcom. 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Existing datasets and benchmarks, however, either cover a narrow range of games, lack language instructions, or rely on high-variance online rollouts. To address these challenges, we introduce GameHorizon, a un","authors":["Yiran Wang","Xingyilang Yin","Junfu Pu","Guangzhi Wang","Kaifeng Li","Mingyu Ouyang"],"url":"https://arxiv.org/abs/2609.25001v1","arxiv_id":"2609.25001v1","published":"2026-09-21T17:59:33Z"},{"title":"WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory","abstract":"Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCrafter, a video world model that learns a camera-queryable implicit 3D-aware memory for this purpose. The key insight is to let the requested viewpoint shape how multi-view evidence is compressed into the video generator's limited token budget","authors":["Wangbo Yu","Kunhao Liu","Wenbo Hu","Shenghai Yuan","Chaoran Feng","Haiyang Zhou"],"url":"https://arxiv.org/abs/2609.24984v1","arxiv_id":"2609.24984v1","published":"2026-09-21T17:57:06Z"},{"title":"DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation","abstract":"Dexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World-Action Models (WAMs) couple predictive video world modeling with action generation, but remain largely vision-centric and therefore cannot directly model these contact dynamics. We present DexTacWAM, a visuo-tactile WAM that encodes each fingertip independently, aggregates the resulting features throu","authors":["Haoran Yuan","Zekai Wang","Boning Shao","Haoran Lu","Trevor Darrell","Ismini Lourentzou"],"url":"https://arxiv.org/abs/2609.24976v1","arxiv_id":"2609.24976v1","published":"2026-09-21T17:55:24Z"},{"title":"Harness-Zero: Harness Distillation via Agent-as-Harness","abstract":"Agent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent performance, but their gains remain tied to the harness at deployment. Because the best harness varies across domains, instances, and models, a general-purpose agent must either settle for a suboptimal shared harness or route among an ever-growing set of specialized ones. We therefore study agent harness ","authors":["Haoran Ye","Yuxing Lu","Haonan Dong","Zhaochen Su","Guojie Song"],"url":"https://arxiv.org/abs/2609.24974v1","arxiv_id":"2609.24974v1","published":"2026-09-21T17:55:20Z"},{"title":"RRSI: Regularized Recursive Self-Improvement of Agent Harnesses","abstract":"An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen backbone model. Recent methods increasingly automate this process by iteratively proposing and selecting component-wise edits of an agent harness, practically establishing a form of recursive self-improvement (RSI) at the agent-system level. However, such recu","authors":["Peng Xia","Rujun Han","Zifeng Wang","Yanfei Chen","Yufan Zhang","Yoonho Lee"],"url":"https://arxiv.org/abs/2609.24972v1","arxiv_id":"2609.24972v1","published":"2026-09-21T17:54:49Z"},{"title":"DolphinBench: Mapping the Pareto Frontier of Agent Memory","abstract":"Agents today often take real-world actions that depend on long-term memory and context recall over time. However, most current memory benchmarks are built for a conversational question-answer format, where the question itself signals that some fact must be retrieved, and often which one. Moreover, benchmarks rarely require anything beyond accuracy from submissions, allowing memory systems to make unreasonable cost/ti","authors":["Soumil Rathi","Deshraj Yadav","Taranjeet Singh"],"url":"https://arxiv.org/abs/2609.24971v1","arxiv_id":"2609.24971v1","published":"2026-09-21T17:54:35Z"},{"title":"Rare Event Estimation via Iterative Unalignment","abstract":"As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment therefore does not depend on whether these events can occur, but on how often they might. We study the problem of estimating the probability of rare events that arise from stochastic variation in the agent's own actions. Estimating this type of risk re","authors":["Hanming Yang","Daksh Mittal","Jing Dong","Hongseok Namkoong"],"url":"https://arxiv.org/abs/2609.24969v1","arxiv_id":"2609.24969v1","published":"2026-09-21T17:53:38Z"},{"title":"Emergent Collusion in Long-Horizon LLM Agent Interaction","abstract":"LLM agents are increasingly deployed in collaborative settings, yet long-term interaction may give rise to undesirable coordination. We study the emergence of collusion in a long-horizon multi-agent environment: two agents repeatedly complete individual tasks, share task logs, verify each other's work, and receive rewards. We introduce realistic constraints that make compliance with the verification protocol incompat","authors":["Xinrui Shi","Yanzhe Zhang","Diyi Yang"],"url":"https://arxiv.org/abs/2609.24967v1","arxiv_id":"2609.24967v1","published":"2026-09-21T17:52:48Z"},{"title":"Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences","abstract":"Scientific workflows often require choosing among known relations before a deterministic calculation can proceed. Whether observations share a culture, treatment or reference standard can change the scientific meaning of the resulting count or comparison. We evaluate Jev as a semantic decision component using a harness that follows its documented guidance and assigns arithmetic to code. The study compares twelve mode","authors":["Boyuan Deng","Shuyi Fan","Hongyang Zhang","Xinhong Xie"],"url":"https://arxiv.org/abs/2609.24965v1","arxiv_id":"2609.24965v1","published":"2026-09-21T17:51:50Z"},{"title":"Generative Tutorial: Towards Live Contextualized Visual Instructions for Physical Tasks","abstract":"Visual instructions for physical tasks are typically authored in one context and followed in another, requiring users to translate demonstrated tools, materials, and spatial relationships into their own environment. We introduce Generative Tutorial, a conceptual framework for live visual instruction that depicts intended outcomes and actions within the user's environment and task flow. A formative evaluation of state","authors":["Muzhe Wu","Zuchen Li","Xu Wang","Anhong Guo"],"url":"https://arxiv.org/abs/2609.24955v1","arxiv_id":"2609.24955v1","published":"2026-09-21T17:46:25Z"},{"title":"Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization","abstract":"A model generalizes outside its training distribution only when it computes a representation structurally equivalent to the generating mechanism, not an approximation fitted to it. Such equivalence is necessary for exactness in and out of distribution, and extrapolation is governed by this exactness at inference, whatever its realization. Tensor Logic shows this: a zero-temperature contraction is equivalent to discre","authors":["Filipe Marinho Rocha","Inês Dutra","Vítor Santos Costa","Luís Paulo Reis"],"url":"https://arxiv.org/abs/2609.24942v1","arxiv_id":"2609.24942v1","published":"2026-09-21T17:39:51Z"},{"title":"Et Tu, Brute? Economic Misalignment in Personal AI Agents","abstract":"Personal AI agents make recommendations and take actions on people's behalf in high-stakes economic contexts, e.g., buying a flight, choosing health insurance, or selecting a graduate program. The agent is given access to the user's personal context, e.g., their email inbox and a structured profile of personal attributes, with the intention of making an optimal, personalized decision for the user. We show that by sim","authors":["Aman Priyanshu","Supriti Vijay","Brian Jabarian","Niloofar Mireshghallah"],"url":"https://arxiv.org/abs/2609.24927v1","arxiv_id":"2609.24927v1","published":"2026-09-21T17:22:44Z"},{"title":"BackTrend: Evaluating Scientific Weak-Signal Prediction via Backward Reconstruction","abstract":"Scientific weak signals are early, low-visibility research directions that later become central to mature scientific topics, yet existing resources such as trend tracking, citation forecasting, and foresight reports rarely provide validated reference sets that link concrete early precursors to later paradigms. We introduce BackTrend, a retrospective benchmark in which, given a mature target topic and a temporal evide","authors":["Xiao Zhou","Yilun Zhao","Owen Jiang","Tiansheng Hu","Cai Xu","Manasi Patwardhan"],"url":"https://arxiv.org/abs/2609.24921v1","arxiv_id":"2609.24921v1","published":"2026-09-21T17:18:19Z"},{"title":"Visuomotor Robotic Pruning in Planar Orchards Using Hybrid Reinforcement Learning","abstract":"Dormant tree pruning is labor-intensive yet essential for maintaining modern high-productivity fruit orchards. In this work, we focus on pruning of modern planar tree training systems - V-Trellis apples and UFO cherries - where trunks and primary branches are trained into approximately planar walls. We introduce an end-to-end pipeline to learn a closed-loop visuomotor controller for robotic pruning. This controller i","authors":["Abhinav Jain","Cindy Grimm","Stefan Lee"],"url":"https://arxiv.org/abs/2609.24906v1","arxiv_id":"2609.24906v1","published":"2026-09-21T17:09:58Z"},{"title":"OSWorld-Pro: Process-based Evaluation for Computer Use Agents","abstract":"Evaluation of Computer-Use Agents (CUAs) is often limited to the final deliverables they create (at the end of hundreds of steps) and assessed with functional verifiers, as seen in OSWorld. However, such evaluation of end-state performance lacks transparency into how and why agents fail in various tasks, obfuscating critical insight for subsequent improvement. For instance, agents that err during keyboard inputs woul","authors":["Zhilin Wang","Shaokun Zhang","Yifan Zhang","Hao Zhang","Jin Xu","Binfeng Xu"],"url":"https://arxiv.org/abs/2609.24890v1","arxiv_id":"2609.24890v1","published":"2026-09-21T16:55:24Z"},{"title":"A Global Comparison of Schemas, Transparency, and Interoperability in Public-Sector AI Registers and Inventories","abstract":"Artificial intelligence (AI) registers and inventories aim to make governmental AI visible, but their institutional scope, schemas, and reporting practices construct different representations of public-sector AI. We compare 8,368 records from country-specific and transnational inventories covering 72 countries. Across 23 harmonized fields, registers shared a descriptive core but rarely requested information about app","authors":["Dipto Das","Shion Guha"],"url":"https://arxiv.org/abs/2609.24883v1","arxiv_id":"2609.24883v1","published":"2026-09-21T16:51:35Z"},{"title":"Pinocchio: Fast Uncertainty Estimates for Black-Box Language Models","abstract":"In high-stakes decision-making applications of large language models (LLMs), practitioners require not only accurate LLMs but also uncertainty estimates for their predictions. Existing approaches to uncertainty estimation for LLMs require access to log-probabilities output by the model or require fine-tuning access. However, many industrial LLM products use closed-source API models, and many such API models like GPT ","authors":["Kevin David Hayes","Arka Pal","Haosong Zhang","Tom Goldstein","Micah Goldblum"],"url":"https://arxiv.org/abs/2609.24881v1","arxiv_id":"2609.24881v1","published":"2026-09-21T16:48:50Z"},{"title":"Partner-Specific Affective Precision in Social Active Inference","abstract":"In multi-agent social settings, model reliability varies across relationships. Beyond inferring what others will do, an agent must calibrate how confidently those inferences should guide policy selection for each relationship. An agent may maintain a well-validated model of one partner, a fragile model of another, and a model under revision for a third; collapsing these into a single confidence estimate loses informa","authors":["Harshil Shah","Andrew Pashea"],"url":"https://arxiv.org/abs/2609.24876v1","arxiv_id":"2609.24876v1","published":"2026-09-21T16:46:59Z"},{"title":"SE(3) Neural Potential Fields for 6-DoF Trajectory Planning Directly from Images Without Explicit 3D Reconstruction","abstract":"Reaching a 6-DoF grasp pose in clutter requires a collision-free trajectory, conventionally obtained by reconstructing the scene in 3D and planning inside that reconstruction, at the cost of its accuracy and compute. Potential fields learned directly from images remove that dependency but inherit the classical weakness of artificial potential fields: where attractive and repulsive gradients cancel, the descent grazes","authors":["Jeffrey Eiyike","Masoud Ataei","Elvis Gyaase","Vikas Dhiman"],"url":"https://arxiv.org/abs/2609.24864v1","arxiv_id":"2609.24864v1","published":"2026-09-21T16:35:57Z"},{"title":"When Tomorrow Becomes Today: Self-Evolving Policies for Agentic Time-Series Forecasting","abstract":"Agentic time series forecasting concerns systems whose underlying mechanisms evolve, making the relative effectiveness of numerical models, reasoning strategies, and intervention rules inherently time-varying. Consequently, a time series agent must adapt the forecasts it produces and the orchestration policy that determines which components to trust and how to coordinate them. The deployment process naturally provide","authors":["Yifan Hu","Xilin Dai","Zhiyuan Qu","Yiding Liu","Zewei Dong","Jiang-ming Yang"],"url":"https://arxiv.org/abs/2609.24862v1","arxiv_id":"2609.24862v1","published":"2026-09-21T16:33:59Z"},{"title":"Small-world Networks of Agents Brainstorm AI Risks to Support Ideation","abstract":"The ideation phase of participatory AI risk assessment often starts with a blank slate or a limited list of predefined risks, making it difficult to surface indirect or systemic harms. To address this limitation, we propose a three-stage ideation support tool. The tool complements participatory AI, rather than replacing it, and helps focus later engagement with affected communities. First, it dynamically discovers st","authors":["Ke Zhou","Edyta Bogucka","Daniele Quercia"],"url":"https://arxiv.org/abs/2609.24859v1","arxiv_id":"2609.24859v1","published":"2026-09-21T16:32:57Z"},{"title":"Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection","abstract":"Argumentative component detection (ACD) is a core subtask of Argument(ation) Mining (AM) and one of its most challenging aspects, as it requires jointly delimiting argumentative spans and classifying them into components such as claims and premises. While research on this subtask remains relatively limited compared to other AM tasks, most existing approaches formulate it as a simplified sequence labeling problem, com","authors":["Sofiane Elguendouze","Erwan Hain","Elena Cabrio","Serena Villata"],"url":"https://arxiv.org/abs/2609.24855v1","arxiv_id":"2609.24855v1","published":"2026-09-21T16:30:38Z"},{"title":"SPECTRA: Adaptive Execution of Speculative Decoding on a Runtime-Reconfigurable Tiled Architecture","abstract":"LLM inference on edge devices is constrained by computational and memory resources, making efficient autoregressive decoding challenging. Speculative decoding alleviates this bottleneck by generating tokens with a smaller draft model and verifying multiple tokens in parallel with a batched target model pass. However, verification introduces a runtime-dependent intermediate regime between memory-bound general matrix-v","authors":["Gabriele Tombesi","William Baisi","Je Yang","Elisavet Lydia Alvanaki","Kevin Lee","Michael Lippe"],"url":"https://arxiv.org/abs/2609.24847v1","arxiv_id":"2609.24847v1","published":"2026-09-21T16:25:24Z"},{"title":"MedRSI: Recursive Self-Improvement for Medical Agents via Clinically Aligned Self-Evolution","abstract":"Medical agents increasingly combine general reasoning models with specialized clinical tools, yet their capabilities remain largely fixed by what clinicians and engineers design before deployment. Recursive self-improvement (RSI) offers a different paradigm in which agents learn from their own failures and autonomously expand their capabilities, but directly applying RSI to medicine introduces fundamental safety chal","authors":["Junde Wu","Jiayuan Zhu","Minghao Hu","Fenglin Liu","Jiazhen Pan"],"url":"https://arxiv.org/abs/2609.24838v1","arxiv_id":"2609.24838v1","published":"2026-09-21T16:19:33Z"},{"title":"GRUET: Quantifying Uncertainty of Agentic Reasoning-and-Acting Processes","abstract":"Agents have attracted considerably increasing attention due to the power of executing both Reasoning and Acting (ReAct) in open and dynamic environments. The ReAct process typically exhibits a multi-turn trajectory in which one drives Large Language Models (LLMs) to generate both reasoning chains and task-specific actions in an interleaved manner. However, agents often suffer from significant uncertainty, where ident","authors":["Shuang Liang","Xin-Yu Hu","Shao-Qun Zhang"],"url":"https://arxiv.org/abs/2609.24831v1","arxiv_id":"2609.24831v1","published":"2026-09-21T16:15:35Z"}],"history":{"events":[{"year":2013,"text":"Unidentified gunmen began a three-day attack on the upmarket Westgate shopping mall in Nairobi, Kenya, resulting in the deaths of 67 people with at least another 175 wounded.","url":"https://en.wikipedia.org/wiki/Westgate_shopping_mall_attack"},{"year":2004,"text":"American rock band Green Day released their seventh studio album, American Idiot.","url":"https://en.wikipedia.org/wiki/Green_Day"},{"year":2001,"text":"Several British Muslim youths in Peterborough, England, murdered 17-year-old Ross Parker, leading to debate over whether the British media failed to cover racially motivated crimes with white victims.","url":"https://en.wikipedia.org/wiki/Peterborough"},{"year":2001,"text":"America: A Tribute to Heroes was broadcast by over 35 network and cable channels, raising over $200 million for the victims of the September 11 attacks.","url":"https://en.wikipedia.org/wiki/America%3A_A_Tribute_to_Heroes"},{"year":1999,"text":"A 7.7 Mw earthquake struck Jiji, Taiwan, killing 2,415 people, injuring more than 11,000 others and causing about NT$300 billion (US$10 billion) in damage across the island.","url":"https://en.wikipedia.org/wiki/Moment_magnitude_scale"},{"year":1999,"text":"The first chapter of Naruto, later one of the best-selling manga series, was published.","url":"https://en.wikipedia.org/wiki/Naruto"},{"year":1996,"text":"The Defense of Marriage Act was passed by the United States Congress, prohibiting federal recognition of same-sex marriage, while allowing states to adopt any marital definition of their choosing.","url":"https://en.wikipedia.org/wiki/Defense_of_Marriage_Act"},{"year":1968,"text":"The Soviet Union's Zond 5 landed in the Indian Ocean, becoming the first spacecraft to safely return to Earth after travelling around the Moon.","url":"https://en.wikipedia.org/wiki/Zond_5"},{"year":1965,"text":"Portugal accepted a diplomatic mission from Southern Rhodesia despite objections by Britain, which had required the colony to implement black majority rule as a condition of independence.","url":"https://en.wikipedia.org/wiki/Rhodesian_mission_in_Lisbon"},{"year":1938,"text":"The Great New England Hurricane made landfall on Long Island, New York, killing an estimated 682 people and injuring 1,754 others.","url":"https://en.wikipedia.org/wiki/1938_New_England_hurricane"},{"year":1937,"text":"J. R. R. Tolkien's fantasy children's novel The Hobbit, which later served as a prelude to The Lord of the Rings, was first published.","url":"https://en.wikipedia.org/wiki/J._R._R._Tolkien"},{"year":1934,"text":"The Muroto typhoon, the strongest in Japanese history at the time, made landfall on the mainland, killing more than 3,000 and leaving around 200,000 homeless.","url":"https://en.wikipedia.org/wiki/1934_Muroto_typhoon"},{"year":1934,"text":"Chandrashekhar Agashe established the Brihan Maharashtra Sugar Syndicate Ltd., one of the oldest companies in India.","url":"https://en.wikipedia.org/wiki/Chandrashekhar_Agashe"},{"year":1918,"text":"World War I: The Battle of Nazareth ended with the British Empire victorious over the Ottomans.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1897,"text":"In response to a letter written by eight-year-old Virginia O'Hanlon, The New York Sun published an editorial by Francis Pharcellus Church stating, \"Yes, Virginia, there is a Santa Claus\".","url":"https://en.wikipedia.org/wiki/The_Sun_(New_York_City)"},{"year":1776,"text":"American Revolutionary War: The Great Fire of New York (depicted) broke out during the British occupation of New York City, destroying up to 1,000 buildings.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1675,"text":"Led by Antonio de Vea, a Spanish naval expedition departed El Callao, Peru, for the fjords and channels of Patagonia to find whether rival colonial powers were in the region.","url":"https://en.wikipedia.org/wiki/Antonio_de_Vea"},{"year":1170,"text":"Norman invasion of Ireland: English and Irish forces conquered Dublin, forcing Ascall mac Ragnaill, the last Norse–Gaelic king of Dublin, into exile.","url":"https://en.wikipedia.org/wiki/Anglo-Norman_invasion_of_Ireland"}],"births":[{"year":2006,"text":"Alisha Palmowski, British female racing driver","url":"https://en.wikipedia.org/wiki/Alisha_Palmowski"},{"year":1999,"text":"Alexander Isak, Eritrean-Swedish professional footballer","url":"https://en.wikipedia.org/wiki/Alexander_Isak"},{"year":1999,"text":"Wang Junkai, Chinese singer","url":"https://en.wikipedia.org/wiki/Wang_Junkai"},{"year":1999,"text":"Lizzy McAlpine, American singer-songwriter","url":"https://en.wikipedia.org/wiki/Lizzy_McAlpine"},{"year":1998,"text":"Máscara de Bronce, Mexican wrestler","url":"https://en.wikipedia.org/wiki/Multibronce"},{"year":1998,"text":"Yainer Díaz, Dominican baseball player","url":"https://en.wikipedia.org/wiki/Yainer_D%C3%ADaz"},{"year":1995,"text":"Bruno Caboclo, Brazilian basketball player","url":"https://en.wikipedia.org/wiki/Bruno_Caboclo"},{"year":1994,"text":"Devin Williams, American baseball player","url":"https://en.wikipedia.org/wiki/Devin_Williams_(baseball)"}],"deaths":[{"year":2024,"text":"Raquel Blandón, Guatemalan lawyer and activist, First Lady of Guatemala (born 1943)","url":"https://en.wikipedia.org/wiki/Raquel_Bland%C3%B3n"},{"year":2024,"text":"Benny Golson, American saxophonist and composer (born 1929)","url":"https://en.wikipedia.org/wiki/Benny_Golson"},{"year":2024,"text":"Eddie Low, New Zealand country singer and musician (born 1943)","url":"https://en.wikipedia.org/wiki/Eddie_Low"},{"year":2024,"text":"Mercury Morris, American football player (born 1947)","url":"https://en.wikipedia.org/wiki/Mercury_Morris"},{"year":2023,"text":"Walewska Oliveira, Brazilian volleyball player and Olympic champion (born 1979)","url":"https://en.wikipedia.org/wiki/Walewska_Oliveira"},{"year":2022,"text":"Raju Srivastav, Indian comedian, actor and politician (born 1963)","url":"https://en.wikipedia.org/wiki/Raju_Srivastav"},{"year":2021,"text":"Willie Garson, American actor (born 1964)","url":"https://en.wikipedia.org/wiki/Willie_Garson"},{"year":2020,"text":"Arthur Ashkin, American scientist and Nobel laureate (born 1922)","url":"https://en.wikipedia.org/wiki/Arthur_Ashkin"}]},"census":{"panel_version":2,"probed":14770,"error_rate":21.12,"degraded":false,"rates":{"head":11.5,"tail":5.7,"ai_native":74.55}},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","license":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","license":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"license":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}