{"date":"2026-09-30","schema_version":1,"captured_at":"2026-10-01T11:15:43.063Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Case Keenum","views":893057,"rank":3,"extract":"Casey Austin Keenum is an American professional football quarterback for the Chicago Bears of the National Football League (NFL). He played college football for the Houston Cougars, where he became the NCAA's all-time leader in total passing yards, touchdowns,","url":"https://en.wikipedia.org/wiki/Case_Keenum","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/a/a8/Case_Keenum_%2848572342057%29.jpg/330px-Case_Keenum_%2848572342057%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Christa Pike","views":507058,"rank":5,"extract":"Christa Gail Pike is an American convicted murderer who is incarcerated on death row in Tennessee. 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We investigate this sensitivity through semifactual prompt interventions that preserve the underlying problem and its answer. Our analysis reveals substantial variation in token-level sensitivity and shows that suppres","authors":["Junshu Pan","Zhizhang Fu","Shulin Huang","Yiran Ding","Zifan Cheng","Wenqi Shao"],"url":"https://arxiv.org/abs/2609.40360v1","arxiv_id":"2609.40360v1","published":"2026-09-30T17:59:56Z"},{"title":"ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing","abstract":"Recent video generation is increasingly realistic and controllable, yet video editing remains less developed, particularly for precise local edits that must preserve the original scene dynamics. Video scene text editing replaces text on scene surfaces, such as storefront signs, whiteboards, and product labels, while preserving the surrounding content, motion, and camera dynamics. Although scene text editing is well s","authors":["Xinghao Chen","Xiangbo Gao","Jiongze Yu","Yuheng Wu","Zhengzhong Tu"],"url":"https://arxiv.org/abs/2609.40356v1","arxiv_id":"2609.40356v1","published":"2026-09-30T17:59:33Z"},{"title":"Turbo Harness: Instance-Adaptive Harness Optimization","abstract":"Automating the search for effective harnesses is an important step toward enabling agents to recursively self-improve. Existing harness optimizations typically produce a single global harness that is applied uniformly across task instances. However, a harness that works well on average may not be optimal for every instance. We introduce Turbo Harness, a framework that can adapt a globally optimized harness to each in","authors":["Tunyu Zhang","Hao Wang","Kai Xu","Dimitris N. Metaxas"],"url":"https://arxiv.org/abs/2609.40330v1","arxiv_id":"2609.40330v1","published":"2026-09-30T17:56:09Z"},{"title":"WorldAuditBench: Interactive 3D World Auditing with Multimodal Agents","abstract":"As interactive 3D worlds are increasingly used to study intelligent behavior, it becomes important to develop efficient pipelines for identifying anomalies in these simulated environments, such as floating objects, traversable walls, or objects inconsistent with the surrounding scene. Multimodal AI systems, including vision-language models (VLMs) and vision-language-action models (VLAs), have shown potential for auto","authors":["Ziyan Jiang","Jingbo Yang","Jiabao Ji","Yujian Liu","Qiucheng Wu","Tommi Jaakkola"],"url":"https://arxiv.org/abs/2609.40325v1","arxiv_id":"2609.40325v1","published":"2026-09-30T17:55:29Z"},{"title":"Cogentic: Multi-Agent Orchestration for Automated Proof Discovery","abstract":"We present Cogentic, a multi-agent harness for automated proof discovery on open research problems. While frontier language models can generate strong mathematical ideas in a single shot, single-shot generation is often insufficient for open problems that require exploring multiple competing conjectures, overcoming subtle technical obstructions, and retaining intermediate progress over a long horizon. Cogentic addres","authors":["Yang Cai","Vineet Gupta","Yanchen Jiang","Christopher Liaw","Aranyak Mehta","Grigoris Velegkas"],"url":"https://arxiv.org/abs/2609.40324v1","arxiv_id":"2609.40324v1","published":"2026-09-30T17:55:22Z"},{"title":"MatLoom: Layered Text-to-Material Generation in a Compact Program Space","abstract":"Material generation should produce not only an appearance, but also the rules that construct it. We introduce MatLoom, a compact, layer-oriented language for text-to-material generation with pretrained language models. Each program composes alpha-masked layers whose shared spatial expressions define coverage and physically based rendering (PBR) channels, making dependencies between patterns, color, and relief explici","authors":["Anson Y. Lam","Shuqing Li","Michael R. Lyu"],"url":"https://arxiv.org/abs/2609.40322v1","arxiv_id":"2609.40322v1","published":"2026-09-30T17:55:06Z"},{"title":"Scaling Laws for Looped Mixture of Experts","abstract":"Looped transformers and Mixture-of-Experts (MoE) offer complementary routes to efficient scaling: recurrence increases computational depth at fixed parameters, while MoE sparsity expands total capacity at fixed active compute. Yet existing scaling laws model recurrence or sparsity in isolation. In this work, we introduce Loop Scaling Laws, the first scaling law to jointly model recurrence and sparsity alongside model","authors":["Yanbei Chen","Anirudh Goyal","Raghuraman Krishnamoorthi"],"url":"https://arxiv.org/abs/2609.40316v1","arxiv_id":"2609.40316v1","published":"2026-09-30T17:53:47Z"},{"title":"DynaHarness: A Dynamic Physical Harness for Self-Evolving Robot Agents","abstract":"Pretrained robot policies provide useful action priors, but long-horizon manipulation still requires coordination between semantic reasoning and physical execution. Semantic reasoning operates at a coarser timescale than physical interaction, while episode-level failures provide limited guidance on which system component should be revised. We propose DynaHarness, a dynamic physical harness that couples semantic reaso","authors":["Haoyuan Deng","Jiebin Liu","Tengxiao Zhang","Langning Yan","Hongye Cao","Ziwei Wang"],"url":"https://arxiv.org/abs/2609.40306v1","arxiv_id":"2609.40306v1","published":"2026-09-30T17:52:09Z"},{"title":"How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?","abstract":"Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of more pr","authors":["Kirill Brilliantov","Alejandro Hernández-Cano","Emmanuel Abbé"],"url":"https://arxiv.org/abs/2609.40303v1","arxiv_id":"2609.40303v1","published":"2026-09-30T17:51:30Z"},{"title":"CAS II: Symmetric Partitions as Kolmogorov Models","abstract":"In algorithmic statistics a string x is explained by a finite set containing it, and Kolmogorov's structure function records the smallest such model at each level of complexity. Vereshchagin's strong models, those computable from the data by a total algorithm, are essentially the cells of simple partitions. We read a partition of binary strings as a hypothesis, with the cell containing x as its model, and develop alg","authors":["Romie Banerjee"],"url":"https://arxiv.org/abs/2609.40290v1","arxiv_id":"2609.40290v1","published":"2026-09-30T17:49:15Z"},{"title":"Linguistic Loopholes in LLM Unlearning: From a 174-Language Benchmark to Coverage-Aware Unlearning","abstract":"Unlearning a fact in one language does not guarantee its removal in others as changing the query or even the requested answer language can reopen seemingly forgotten knowledge -- a cross-lingual loophole. The most straightforward solution to this challenge -- unlearning in all languages -- is neither scalable nor desirable as it amplifies damage to unrelated model capabilities. We introduce the task of language budge","authors":["Tyler Skow","Shravan Chaudhari","Rama Chellappa","Abhay Yadav"],"url":"https://arxiv.org/abs/2609.40286v1","arxiv_id":"2609.40286v1","published":"2026-09-30T17:48:13Z"},{"title":"PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents","abstract":"On-policy distillation (OPD) is a promising approach for training language agents, providing dense teacher supervision on student-generated trajectories. However, in multi-turn interaction, an incorrect action changes the states the student encounters later, so errors compound across turns. In preliminary experiments across three Qwen3 models (8B to 235B), we find that more than half of the failed rollouts contain a ","authors":["Yinghui He","Yapei Chang","Khushi Bhardwaj","Daniele Molinari","Tugrul Konuk","Jan Kautz"],"url":"https://arxiv.org/abs/2609.40285v1","arxiv_id":"2609.40285v1","published":"2026-09-30T17:48:11Z"},{"title":"cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents","abstract":"Computer use agents (CUAs), which use graphical user interfaces (GUIs) to complete tasks on a computer, have recently surpassed human performance on many standard benchmarks, including difficult long-horizon tasks. Their capabilities are undoubtedly impressive, however, a key barrier to the widespread adoption and deployment of CUAs remains their speed and cost. Progress towards faster yet capable CUAs requires relia","authors":["Pranjal Aggarwal","Lawrence Keunho Jang","Sean Welleck","Daniel Fried","Ruslan Salakhutdinov","Jing Yu Koh"],"url":"https://arxiv.org/abs/2609.40284v1","arxiv_id":"2609.40284v1","published":"2026-09-30T17:48:06Z"},{"title":"Belief-Aware Multi-Agent Path Finding under Map Uncertainty","abstract":"Multi-Agent Path Finding (MAPF) aims to find collision-free paths for multiple agents in a shared environment. Classical MAPF assumes that all static obstacles are known in advance, but real-world environments can change unexpectedly due to fallen objects, spills, or other local disturbances. When such changes are spatially correlated, an observation can inform traversability estimates beyond the observed location. P","authors":["Viraj Parimi","Shao-Hung Chan","Han Zhang","Jingkai Chen","Brian Williams"],"url":"https://arxiv.org/abs/2609.40269v1","arxiv_id":"2609.40269v1","published":"2026-09-30T17:44:19Z"},{"title":"ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents","abstract":"Online training enables computer-use agents (CUAs) to improve through interaction with executable environments. However, existing methods primarily rely on sparse outcome rewards, which provide no supervision for intermediate actions. On-policy self-distillation (OPSD) offers token-level learning signals through privileged rescoring, but directly applying it to CUA online training presents two challenges: fixed guida","authors":["Yong Du","Tongbo Chen","Zhengxi Lu","Yizhou Liu","Bofan Chen","Tao Jiang"],"url":"https://arxiv.org/abs/2609.40253v1","arxiv_id":"2609.40253v1","published":"2026-09-30T17:40:09Z"},{"title":"EviRover: Reinforcing Agentic Perception Beyond a Glance","abstract":"Visual perception is conventionally formulated as a one-shot prediction from a single glance at the image, under the assumption that the image content and the model's parametric knowledge suffice to resolve the query. This assumption often fails in real-world scenarios that hinge on fine-grained visual details or require knowledge-intensive and up-to-date information. We term such cases \\textit{perception under insuf","authors":["Kaixuan Fan","Kaituo Feng","Tianshuo Peng","Yilei Jiang","Manyuan Zhang","Junke Wang"],"url":"https://arxiv.org/abs/2609.40230v1","arxiv_id":"2609.40230v1","published":"2026-09-30T17:30:09Z"},{"title":"PhantomEnvironments: Training LLM Agents in Fictional Worlds","abstract":"Training LLM agents with reinforcement learning (RL) is bottlenecked by environments, which must provide verifiable rewards, support long-horizon interaction, and scale cheaply. Existing approaches rely on costly human-curated data or on LLM-generated environments that risk hallucinations and benchmark contamination. We show that LLMs can instead be trained into capable search agents using synthetic environments gene","authors":["Anmol Kabra","Swathi Saravana Selvam","Albert Gong","Chao Wan","Christian Belardi","Dongyoung Go"],"url":"https://arxiv.org/abs/2609.40221v1","arxiv_id":"2609.40221v1","published":"2026-09-30T17:26:57Z"},{"title":"Learning Skills from Historical Action Trajectories: Action Experience Dictionary for World Action Models","abstract":"World Action Models (WAMs) couple visual dynamics prediction with action generation, yet they do not explicitly support the reuse of action experience across manipulation tasks. Furthermore, existing WAMs struggle to capture underlying cross-task semantic relationships that could guide target action prediction, as redundant background elements interfere with the extraction of key visual information. To address these ","authors":["Qi Lyu","Jiahua Dong","Hao Shen","Xudong Wang","Hongyuan Yu","Baichen Liu"],"url":"https://arxiv.org/abs/2609.40219v1","arxiv_id":"2609.40219v1","published":"2026-09-30T17:26:38Z"},{"title":"SCB: SpeechConversationBench for Evaluating Multi-Turn Reasoning in Speech-to-Speech Models","abstract":"Speech-to-speech systems must solve tasks whose requirements emerge across conversational turns. We introduce SpeechConversationBench (SCB), a focused evaluation of spoken mathematical reasoning using 103 sharded GSM8K problems. The framework compares the original problem delivered in one turn (full), its concatenated information shards delivered together (concat), and incremental spoken disclosure across turns (shar","authors":["Kanpat Vesessook","Saksorn Ruangtanusak"],"url":"https://arxiv.org/abs/2609.40198v1","arxiv_id":"2609.40198v1","published":"2026-09-30T17:13:30Z"},{"title":"MemLife: Curating and Reasoning over Long-Term Egocentric Video Memories","abstract":"Long-term egocentric video enables personalized AI assistants to reason about daily life. However, as video histories grow to hundreds of hours spanning months or years, reprocessing raw clips for every query becomes computationally prohibitive. Memory systems offer a scalable alternative by compacting videos into text representations, but often fail on practical benchmarks: either the memory does not preserve key ev","authors":["Guangzhi Xiong","Xinyuan Zhang","Xiao Yang","Hyokun Yun","Kai Zhang","Shiun-Zu Kuo"],"url":"https://arxiv.org/abs/2609.40195v1","arxiv_id":"2609.40195v1","published":"2026-09-30T17:11:33Z"},{"title":"Learning from Research: Toward Lifelong Agent Harness Evolution","abstract":"Language agents are expected to solve increasingly complex tasks, creating a growing need for continual improvement. One promising approach is to evolve the agent harness, the software that governs tool use, memory management, and task execution, while keeping the underlying language model fixed. Recent methods automate this process by using a meta coding agent to modify the harness based on execution feedback. Howev","authors":["Jingbo Yang","Kwei-Herng Lai","Xiaowen Wang","Yaar Harari","Evgeniy Gabrilovich","Shiyu Chang"],"url":"https://arxiv.org/abs/2609.40169v1","arxiv_id":"2609.40169v1","published":"2026-09-30T17:00:38Z"},{"title":"PrefPI: Preference-Guided Steering into Out-of-Distribution Behaviors","abstract":"We present PrefPI (Preference-Guided Policy Iteration), an iterative framework for steering pretrained generative robot policies using only relative preferences over self-generated trajectories. Unlike prior preference-learning methods that primarily sharpen modes already represented by the policy, we study steering beyond the initial effective support, where desired behaviors are rarely or never observed under the i","authors":["Seungeun Rho","Wontaek Kim","Danfei Xu","Sehoon Ha"],"url":"https://arxiv.org/abs/2609.40165v1","arxiv_id":"2609.40165v1","published":"2026-09-30T16:58:38Z"},{"title":"Game-Guided Skill Discovery through Self-Play for Playable Agent Control","abstract":"We present Game-Guided Skill Discovery (GGSD), a framework that uses self-play in games to discover motor skills that are directly playable by humans. Playable skills provide a compact abstraction for controlling embodied agents through a small set of learned behaviors rather than low-level actions. To be effective, these skills should be semantically distinct, interpretable, and expressive; properties that existing ","authors":["Seungeun Rho","Jeonghwan Kim","Xue Bin Peng","Sehoon Ha"],"url":"https://arxiv.org/abs/2609.40137v1","arxiv_id":"2609.40137v1","published":"2026-09-30T16:49:51Z"},{"title":"Tactile Curiosity Drives Robot Interaction","abstract":"Mastering robot manipulation skills via reinforcement learning (RL) remains largely sample-inefficient. The most common RL algorithms rely on random action sampling to discover new strategies, resulting in agents that allocate most of their training budget to motions in free space, away from the contacts from which manipulation skills emerge. Existing intrinsic motivation methods based on model disagreement or episte","authors":["Klemens Iten","Alexander Proshkin","Bhavya Sukhija","Stelian Coros","Andreas Krause","Pieter Abbeel"],"url":"https://arxiv.org/abs/2609.40134v1","arxiv_id":"2609.40134v1","published":"2026-09-30T16:49:40Z"},{"title":"On the (In)effectiveness of AMR Augmentation for Large Language Models","abstract":"While Abstract Meaning Representation (AMR) has historically improved performance on a range of NLP tasks, the benefit---or lack thereof---of AMR augmentation for modern LLMs is thus far unclear. In this paper, we attempt to reproduce recent work that reported substantial downstream gains from AMR augmentation, finding that these are likely due to specific choices in the experimental settings used: using a consistent","authors":["Hoa Quynh Nhung Nguyen","Jacopo Staiano","Michael Sullivan"],"url":"https://arxiv.org/abs/2609.40121v1","arxiv_id":"2609.40121v1","published":"2026-09-30T16:45:14Z"}],"history":{"events":[{"year":2019,"text":"President Martín Vizcarra dissolved the Congress of Peru, resulting in a constitutional crisis.","url":"https://en.wikipedia.org/wiki/Mart%C3%ADn_Vizcarra"},{"year":2009,"text":"A 7.6 MW earthquake struck off the southern coast of Sumatra, Indonesia (damage pictured), killing 1,115 and impacting an estimated 1.2 million people.","url":"https://en.wikipedia.org/wiki/Moment_magnitude_scale"},{"year":2005,"text":"The Danish newspaper Jyllands-Posten published controversial editorial cartoons depicting Muhammad, sparking protests across the Islamic world by many who viewed them as Islamophobic and blasphemous.","url":"https://en.wikipedia.org/wiki/Jyllands-Posten"},{"year":2000,"text":"Twelve-year-old Muhammad al-Durrah was shot dead in the Gaza Strip; the Israel Defense Forces initially accepted responsibility but retracted it five years later.","url":"https://en.wikipedia.org/wiki/Killing_of_Muhammad_al-Durrah"},{"year":1998,"text":"The Internet Corporation for Assigned Names and Numbers (ICANN), a nonprofit organization that manages the assignment of domain names and IP addresses in the Internet, was incorporated.","url":"https://en.wikipedia.org/wiki/ICANN"},{"year":1982,"text":"Cheers, an American television sitcom, debuted with its pilot episode on NBC.","url":"https://en.wikipedia.org/wiki/Cheers"},{"year":1975,"text":"The Boeing AH-64 Apache (example pictured), the primary attack helicopter for a number of countries, made its first flight.","url":"https://en.wikipedia.org/wiki/Boeing_AH-64_Apache"},{"year":1955,"text":"American film actor James Dean suffered fatal injuries in a head-on car accident near Cholame, California.","url":"https://en.wikipedia.org/wiki/James_Dean"},{"year":1939,"text":"NBC broadcast the first televised American football game, between the Fordham Rams and the Waynesburg Yellow Jackets.","url":"https://en.wikipedia.org/wiki/NBC"},{"year":1939,"text":"Second World War: General Władysław Sikorski (pictured) became the first prime minister of the Polish government-in-exile.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1938,"text":"Adolf Hitler, Benito Mussolini, Neville Chamberlain, and Édouard Daladier signed the Munich Agreement, stipulating that Czechoslovakia must cede the Sudetenland to Germany.","url":"https://en.wikipedia.org/wiki/Adolf_Hitler"},{"year":1920,"text":"Times Square Theater (pictured) opened on Broadway with a production of The Mirage, a play written by its owner, Edgar Selwyn.","url":"https://en.wikipedia.org/wiki/Times_Square_Theater"},{"year":1918,"text":"Nestor Makhno and Fedir Shchus led insurgents to successfully ambush the Central Powers that occupied southern Ukraine during World War I.","url":"https://en.wikipedia.org/wiki/Nestor_Makhno"},{"year":1882,"text":"The Vulcan Street Plant in Appleton, Wisconsin, the first hydroelectric central station to serve a system of private and commercial customers in North America, went online.","url":"https://en.wikipedia.org/wiki/Vulcan_Street_Plant"},{"year":1863,"text":"Georges Bizet's opera Les pêcheurs de perles premiered at the Théâtre Lyrique in Paris.","url":"https://en.wikipedia.org/wiki/Georges_Bizet"},{"year":1791,"text":"Mozart conducted the premiere of his last opera, The Magic Flute, in Vienna.","url":"https://en.wikipedia.org/wiki/Wolfgang_Amadeus_Mozart"},{"year":1551,"text":"Sue Takafusa, a retainer of the Ōuchi clan in western Japan, led a coup against the daimyō Ōuchi Yoshitaka, leading to the latter's forced suicide.","url":"https://en.wikipedia.org/wiki/Sue_Harukata"},{"year":1342,"text":"An Anglo-Breton army defeated a far larger Franco-Breton force in the first land battle of the Hundred Years' War.","url":"https://en.wikipedia.org/wiki/Battle_of_Morlaix"}],"births":[{"year":2003,"text":"Alberto Moleiro, Spanish footballer","url":"https://en.wikipedia.org/wiki/Alberto_Moleiro"},{"year":2002,"text":"Levi Miller, Australian actor and model","url":"https://en.wikipedia.org/wiki/Levi_Miller"},{"year":2002,"text":"Maddie Ziegler, American dancer and actress","url":"https://en.wikipedia.org/wiki/Maddie_Ziegler"},{"year":1998,"text":"Landon Dickerson, American football player","url":"https://en.wikipedia.org/wiki/Landon_Dickerson"},{"year":1998,"text":"Yui Imaizumi, Japanese actress, singer, model, and television personality","url":"https://en.wikipedia.org/wiki/Yui_Imaizumi"},{"year":1998,"text":"Trevi Moran, American YouTuber and singer","url":"https://en.wikipedia.org/wiki/Trevi_Moran"},{"year":1997,"text":"Yana Kudryavtseva, Russian gymnast","url":"https://en.wikipedia.org/wiki/Yana_Kudryavtseva"},{"year":1997,"text":"Max Verstappen, Dutch race car driver","url":"https://en.wikipedia.org/wiki/Max_Verstappen"}],"deaths":[{"year":2026,"text":"Esther Rantzen, English journalist and television presenter (born 1940)","url":"https://en.wikipedia.org/wiki/Esther_Rantzen"},{"year":2024,"text":"Gavin Creel, American actor, singer and songwriter (born 1976)","url":"https://en.wikipedia.org/wiki/Gavin_Creel"},{"year":2024,"text":"Dikembe Mutombo, Congolese-American basketball player (born 1966)","url":"https://en.wikipedia.org/wiki/Dikembe_Mutombo"},{"year":2024,"text":"Humberto Ortega, Nicaraguan military leader (born 1947)","url":"https://en.wikipedia.org/wiki/Humberto_Ortega"},{"year":2024,"text":"Ken Page, American actor and cabaret singer (born 1954)","url":"https://en.wikipedia.org/wiki/Ken_Page"},{"year":2024,"text":"Pete Rose, American baseball player and manager (born 1941)","url":"https://en.wikipedia.org/wiki/Pete_Rose"},{"year":2021,"text":"Koichi Sugiyama, Japanese composer and orchestrator (born 1931)","url":"https://en.wikipedia.org/wiki/Koichi_Sugiyama"},{"year":2019,"text":"Victoria Braithwaite, British research scientist who proved fish feel pain (born 1967)","url":"https://en.wikipedia.org/wiki/Victoria_Braithwaite"}]},"census":{"panel_version":2,"probed":14770,"error_rate":34.37,"degraded":false,"rates":{"head":11.8,"tail":4,"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 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Every item links to its source."}