{"date":"2026-08-11","schema_version":1,"captured_at":"2026-08-25T23:19:24.726Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Roblox","views":4781328,"rank":2,"extract":"Roblox is an online game platform and game creation system developed by Roblox Corporation that allows users to program and play games created by themselves or other users. It was developed by David Baszucki and Erik Cassel in 2004, and released to the public ","url":"https://en.wikipedia.org/wiki/Roblox","thumb":null},{"title":"Spider-Man: Brand New Day","views":366788,"rank":5,"extract":"Spider-Man: Brand New Day is a 2026 American superhero film based on the Marvel Comics character Spider-Man. 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The film follows a family that finds themselves inexplicably sealed in their home, with the whole w","url":"https://en.wikipedia.org/wiki/The_Last_House","thumb":"https://upload.wikimedia.org/wikipedia/en/b/b2/The_Last_House_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"House of the Dragon season 3","views":173661,"rank":8,"extract":"The third season of the American fantasy drama television series House of the Dragon premiered on HBO on June 21, 2026, in the United States and concluded on August 9, 2026. It consists of eight episodes, each of approximately one hour. 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Arday received international attention and resigned amid accusations of plagiarism, false claims in his research, and f","url":"https://en.wikipedia.org/wiki/Jason_Arday","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/0/07/Jason_Arday_2024_%28cropped%29.jpg/330px-Jason_Arday_2024_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"List of Marvel Cinematic Universe films","views":65653,"rank":29,"extract":"The Marvel Cinematic Universe (MCU) centers on American superhero films produced by Marvel Studios, based on characters that appear in publications by Marvel Comics. The MCU is the shared universe in which all of the films are set. 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story","points":167,"comments":137,"url":"https://ironicsans.ghost.io/how-we-used-to-get-jobs/","discussion":"https://news.ycombinator.com/item?id=49262211"},{"title":"Show HN: Git-knife – Edit commit messages, authors, and dates like a spreadsheet","points":166,"comments":101,"url":"https://github.com/TheRealYT/git-knife","discussion":"https://news.ycombinator.com/item?id=49259611"}],"research":[{"title":"Understanding Alternating Minimization for Matrix Completion","abstract":"Alternating Minimization is a widely used and empirically successful heuristic for matrix completion and related low-rank optimization problems. Theoretical guarantees for Alternating Minimization have been hard to come by and are still poorly understood. This is in part because the heuristic is iterative and non-convex in nature. We give a new algorithm based on Alternating Minimization that provably recovers an unk","authors":["Hardt, Moritz"],"url":"https://arxiv.org/abs/1312.0925","arxiv_id":"1312.0925","published":"2026-08-11"},{"title":"The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture Data","abstract":"Self-training (ST) is a simple yet effective semi-supervised learning method. However, why and how ST improves generalization performance by using potentially erroneous pseudo-labels is still not well understood. To deepen the understanding of ST, we derive and analyze a sharp characterization of the behavior of iterative ST when training a linear classifier by minimizing the ridge-regularized convex loss on binary G","authors":["Takahashi, Takashi"],"url":"https://arxiv.org/abs/2205.07739","arxiv_id":"2205.07739","published":"2026-08-11"},{"title":"InforMask: Unsupervised Informative Masking for Language Model Pretraining","abstract":"Masked language modeling is widely used for pretraining large language models for natural language understanding (NLU). However, random masking is suboptimal, allocating an equal masking rate for all tokens. In this paper, we propose InforMask, a new unsupervised masking strategy for training masked language models. InforMask exploits Pointwise Mutual Information (PMI) to select the most informative tokens to mask. W","authors":["Sadeq, Nafis","Xu, Canwen","McAuley, Julian"],"url":"https://arxiv.org/abs/2210.11771","arxiv_id":"2210.11771","published":"2026-08-11"},{"title":"Causal Falsification of Digital Twins","abstract":"Digital twins are simulation-based models designed to predict how a real-world process will evolve in response to interventions. This modelling paradigm holds substantial promise in many applications, but rigorous procedures for assessing their accuracy are essential for safety-critical settings. We consider how to assess the accuracy of a digital twin using real-world data. We formulate this as a causal inference pr","authors":["Cornish, Rob","Taufiq, Muhammad Faaiz","Doucet, Arnaud","Holmes, Chris"],"url":"https://arxiv.org/abs/2301.07210","arxiv_id":"2301.07210","published":"2026-08-11"},{"title":"A Convex Hull Cheapest Insertion Heuristic for the Non-Euclidean TSP","abstract":"Autonomous robots frequently encounter routing problems that involve non-Euclidean cost considerations due to obstacles, traffic, or a cost function that is not simply the straight-line distance between locations to be visited. Often, the resulting Non-Euclidean Traveling Salesperson Problem (NETSP) must be solved onboard with limited computational resources, posing a significant challenge due to its NP-hard combinat","authors":["Goutham, Mithun","Rosati, Ethan David","Schuler, Hollis","Menon, Meghna","Garrow, Sarah","Stockar, Stephanie"],"url":"https://arxiv.org/abs/2302.06582","arxiv_id":"2302.06582","published":"2026-08-11"},{"title":"Coupling a Recurrent Neural Network to SPAD TCSPC Systems for Real-time Fluorescence Lifetime Imaging","abstract":"Fluorescence lifetime imaging (FLI) has been receiving increased attention in recent years as a powerful diagnostic technique in biological and medical research. However, existing FLI systems often suffer from a tradeoff between processing speed, accuracy, and robustness. In this paper, we propose a robust approach that enables fast FLI with no degradation of accuracy. The approach is based on a SPAD TCSPC system cou","authors":["Lin, Yang","Mos, Paul","Ardelean, Andrei","Bruschini, Claudio","Charbon, Edoardo"],"url":"https://arxiv.org/abs/2306.15599","arxiv_id":"2306.15599","published":"2026-08-11"},{"title":"Stochastic Subgradient Methods with Guaranteed Global Stability in Nonsmooth Nonconvex Optimization","abstract":"In this paper, we focus on providing convergence guarantees for stochastic subgradient methods in minimizing nonsmooth nonconvex functions. We first investigate the global stability of a general framework for stochastic subgradient methods, where the corresponding differential inclusion admits a coercive Lyapunov function. We prove that, for any sequence of sufficiently small stepsizes and approximation parameters, c","authors":["Xiao, Nachuan","Hu, Xiaoyin","Toh, Kim-Chuan"],"url":"https://arxiv.org/abs/2307.10053","arxiv_id":"2307.10053","published":"2026-08-11"},{"title":"From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition","abstract":"Visual recognition models are prone to learning spurious correlations induced by a biased training set where certain conditions $B$ (\\eg, Indoors) are over-represented in certain classes $Y$ (\\eg, Big Dogs). Synthetic data from off-the-shelf large-scale generative models offers a promising direction to mitigate this issue by augmenting underrepresented subgroups in the real dataset. However, by using a mixed distribu","authors":["Qraitem, Maan","Saenko, Kate","Plummer, Bryan A."],"url":"https://arxiv.org/abs/2308.04553","arxiv_id":"2308.04553","published":"2026-08-11"},{"title":"LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties","abstract":"We aim to present a comprehensive overview of the latest advancements in utilizing Large Language Models (LLMs) within the healthcare sector, emphasizing their transformative impact across various medical domains. LLMs have become pivotal in supporting healthcare, including physicians, healthcare providers, and patients. Our review provides insight into the applications of Large Language Models (LLMs) in healthcare, ","authors":["Mumtaz, Ummara","Ahmed, Awais","Mumtaz, Summaya"],"url":"https://arxiv.org/abs/2311.12882","arxiv_id":"2311.12882","published":"2026-08-11"},{"title":"CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts","abstract":"Contrastive vision-language models, such as CLIP, have garnered considerable attention for various downstream tasks, mainly due to the remarkable ability of the learned features for generalization. However, the features they learned often blend content and style information, which somewhat limits their generalization capabilities under distribution shifts. To address this limitation, we adopt a causal generative pers","authors":["Cai, Yichao","Liu, Yuhang","Zhang, Zhen","Shi, Javen Qinfeng"],"url":"https://arxiv.org/abs/2311.16445","arxiv_id":"2311.16445","published":"2026-08-11"},{"title":"AMD:Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion","abstract":"Generating realistic human motion sequences from text descriptions is a challenging task that requires capturing the rich expressiveness of both natural language and human motion. Recent advances in diffusion models have enabled significant progress in human motion synthesis. However, existing methods struggle to handle text inputs that describe complex or long motions. In this paper, we propose the Adaptable Motion ","authors":["Jing, Beibei","Zhang, Youjia","Song, Zikai","Yu, Junqing","Yang, Wei"],"url":"https://arxiv.org/abs/2312.12763","arxiv_id":"2312.12763","published":"2026-08-11"},{"title":"Explainable Machine Learning-Based Security and Privacy Protection Framework for Internet of Medical Things Systems","abstract":"The Internet of Medical Things transcends traditional medical boundaries, enabling a transition from reactive treatment to proactive prevention. This innovative method revolutionizes healthcare by facilitating early disease detection and tailored care, particularly in chronic disease management, where IoMT automates treatments based on real-time health data collection. Nonetheless, its benefits are countered by signi","authors":["Si-ahmed, Ayoub","Al-Garadi, Mohammed Ali","Boustia, Narhimene"],"url":"https://arxiv.org/abs/2403.09752","arxiv_id":"2403.09752","published":"2026-08-11"},{"title":"mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning","abstract":"In the fields of computer vision and natural language processing, multimodal chart question-answering, especially involving color, structure, and textless charts, poses significant challenges. Traditional methods, which typically involve either direct multimodal processing or a table-to-text conversion followed by language model analysis, have limitations in effectively handling these complex scenarios. This paper in","authors":["Wei, Jingxuan","Xu, Nan","Chang, Guiyong","Luo, Yin","Yu, BiHui","Guo, Ruifeng"],"url":"https://arxiv.org/abs/2404.01548","arxiv_id":"2404.01548","published":"2026-08-11"},{"title":"Characteristic Learning for Provable One Step Generation","abstract":"We propose the characteristic generator, an one-step generative model that combines the sampling efficiency of generative adversarial networks (GANs) with the training stability of flow-based models. The proposed model is based on characteristics along which probability-density transport is governed by ordinary differential equations (ODEs). Specifically, we first estimate the underlying velocity field and numericall","authors":["Ding, Zhao","Duan, Chenguang","Jiao, Yuling","Li, Ruoxuan","Yang, Jerry Zhijian","Zhang, Pingwen"],"url":"https://arxiv.org/abs/2405.05512","arxiv_id":"2405.05512","published":"2026-08-11"},{"title":"Ethical Framework for Responsible Foundational Models in Medical Imaging","abstract":"The emergence of foundational models represents a paradigm shift in medical imaging, offering extraordinary capabilities in disease detection, diagnosis, and treatment planning. These large-scale artificial intelligence systems, trained on extensive multimodal and multi-center datasets, demonstrate remarkable versatility across diverse medical applications. However, their integration into clinical practice presents c","authors":["Jha, Debesh","Durak, Gorkem","Das, Abhijit","Sanjotra, Jasmer","Susladkar, Onkar","Sarkar, Suramyaa"],"url":"https://arxiv.org/abs/2406.11868","arxiv_id":"2406.11868","published":"2026-08-11"},{"title":"Discriminative and Consistent Representation Distillation","abstract":"Knowledge Distillation (KD) transfers knowledge from a large teacher to a smaller student model. While contrastive objectives have proven effective for learning structured representations in self-supervised settings, their use in distillation is hindered by two practical shortcomings: the reliance on external memory banks for negative sampling, and fixed temperature hyperparameters that limit adaptability across trai","authors":["Giakoumoglou, Nikos","Stathaki, Tania"],"url":"https://arxiv.org/abs/2407.11802","arxiv_id":"2407.11802","published":"2026-08-11"},{"title":"Attention-Guided Perturbation Network for Industrial Anomaly Detection","abstract":"In unsupervised image anomaly detection, reconstruction-based methods learn normal patterns for data reconstruction, but often undesirably reconstruct anomalous regions at inference, resulting in missed detections. To alleviate this, existing approaches perturb normal samples in a sample-agnostic manner by uniformly injecting noise, ignoring that foreground regions are more critical for robust reconstruction. To addr","authors":["Huang, Tingfeng","Kong, Weijia","Liu, Huan","Chen, Shengjie","Zhou, Bao","Zhang, Ligang"],"url":"https://arxiv.org/abs/2408.07490","arxiv_id":"2408.07490","published":"2026-08-11"},{"title":"See Me, Believe Me: Causality, Intersectionality, and Interventions Improving the Appearance of Patients","abstract":"In the context of medical records, patients often experience testimonial injustice, where the textual account undermines the validity of their experiences. Past work has demonstrated that intersectionality of demographic features is crucial to \\emph{detect} such injustice. We use causal discovery to study the degree to which certain demographic features tied to marginalization (namely age, gender, and race), together","authors":["Andrews, Kenya S.","Ohannessian, Mesrob I.","Zheleva, Elena"],"url":"https://arxiv.org/abs/2410.01227","arxiv_id":"2410.01227","published":"2026-08-11"},{"title":"Machine Learning for Inverse Problems and Data Assimilation","abstract":"The aim of this book is to demonstrate the potential for ideas in machine learning to impact on the fields of inverse problems and data assimilation. The perspective is one that is primarily aimed at researchers from inverse problems and/or data assimilation who wish to see a mathematical presentation of machine learning as it pertains to their fields. As a by-product, we include a succinct mathematical treatment of ","authors":["Bach, Eviatar","Baptista, Ricardo","Sanz-Alonso, Daniel","Stuart, Andrew"],"url":"https://arxiv.org/abs/2410.10523","arxiv_id":"2410.10523","published":"2026-08-11"},{"title":"Discrete distributions are learnable from metastable samples","abstract":"Physically motivated stochastic dynamics are widely used to sample from high-dimensional distributions. However, such samplers often get trapped in metastable states, approximately sampling from a distribution that differs significantly from the desired stationary state. We rigorously show that for multivariable discrete distributions, the true stationary model can nevertheless be recovered from these metastable samp","authors":["Jayakumar, Abhijith","Lokhov, Andrey Y.","Misra, Sidhant","Vuffray, Marc"],"url":"https://arxiv.org/abs/2410.13800","arxiv_id":"2410.13800","published":"2026-08-11"},{"title":"Lying mirror using structured surfaces","abstract":"We introduce an all-optical system, termed the "lying mirror", to hide input information by transforming it into misleading, ordinary-looking patterns that effectively camouflage the underlying image data and deceive the observers. This misleading transformation is achieved through passive light-matter interactions of the incident light with an optimized structured diffractive surface, enabling the optical co","authors":["Li, Yuhang","Chen, Shiqi","Bai, Bijie","Ozcan, Aydogan"],"url":"https://arxiv.org/abs/2410.15521","arxiv_id":"2410.15521","published":"2026-08-11"},{"title":"Regret of exploratory policy improvement and $q$-learning","abstract":"We study the convergence of $q$-learning and related algorithms introduced by Jia and Zhou (J. Mach. Learn. Res., 24 (2023), 161) for controlled diffusion processes. For exploratory policy improvement, we establish exponential convergence under growth and regularity assumptions on the model parameters. For q-learning, we derive quantitative error and regret bounds under additional assumptions on the function approxim","authors":["Tang, Wenpin","Zhou, Xun Yu"],"url":"https://arxiv.org/abs/2411.01302","arxiv_id":"2411.01302","published":"2026-08-11"},{"title":"Motion-Aware Animatable Gaussian Avatars Deblurring","abstract":"The creation of 3D human avatars from multi-view videos is a significant yet challenging task in computer vision. However, existing techniques rely on high-quality, sharp images as input, which are often impractical to obtain in real-world scenarios due to variations in human motion speed and intensity. This paper introduces a novel method for directly reconstructing sharp 3D human Gaussian avatars from blurry videos","authors":["Niu, Muyao","Zhan, Yifan","Zhu, Qingtian","Li, Zhuoxiao","Wang, Wei","Zhong, Zhihang"],"url":"https://arxiv.org/abs/2411.16758","arxiv_id":"2411.16758","published":"2026-08-11"},{"title":"Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaboration","abstract":"While the advancement of large language models has spurred the development of AI agents to automate tasks, numerous use cases inherently require agents to collaborate with humans due to humans' latent preferences, domain expertise, or the need for control. To facilitate the study of human-agent collaboration, we introduce Collaborative Gym (Co-Gym), an open framework for developing and evaluating collaborative ag","authors":["Shao, Yijia","Samuel, Vinay","Jiang, Yucheng","Yang, John","Yang, Diyi"],"url":"https://arxiv.org/abs/2412.15701","arxiv_id":"2412.15701","published":"2026-08-11"},{"title":"A Rigorous Turing Test: a Foundation for Evaluating Artificial General Intelligence","abstract":"Several studies claim that large language models have passed the Turing Test and hence can "think", yet none follow Turing's original instructions precisely. Passing the test holds significance as evidence that a machine demonstrates human-like intelligence, and as a marker for artificial-general intelligence in commercial and legal domains. We conducted Turing's three-player imitation game with an LL","authors":["Temtsin, Sharon","Proudfoot, Diane","Kaber, David","Bartneck, Christoph"],"url":"https://arxiv.org/abs/2501.17629","arxiv_id":"2501.17629","published":"2026-08-11"}],"history":{"events":[{"year":2012,"text":"At least 306 people were killed and 3,000 others injured in a pair of earthquakes near Tabriz, Iran.","url":"https://en.wikipedia.org/wiki/2012_East_Azerbaijan_earthquakes"},{"year":1999,"text":"A tornado struck downtown Salt Lake City, damaging 120 homes and injuring over 100 people.","url":"https://en.wikipedia.org/wiki/1999_Salt_Lake_City_tornado"},{"year":1999,"text":"Ken Levine's System Shock 2 was released to mediocre sales, but later received critical acclaim and influenced subsequent first-person shooter game design.","url":"https://en.wikipedia.org/wiki/Ken_Levine_(game_developer)"},{"year":1992,"text":"The Mall of America (pictured) in Bloomington, Minnesota, opened as the largest shopping mall in the United States.","url":"https://en.wikipedia.org/wiki/Mall_of_America"},{"year":1979,"text":"Two Aeroflot passenger jets collided in mid-air near Dniprodzerzhynsk in the Ukrainian SSR, killing all 178 people on both aircraft.","url":"https://en.wikipedia.org/wiki/Aeroflot"},{"year":1977,"text":"The U.S. National Highway Traffic Safety Administration initiated an investigation into the alleged vulnerability of the Ford Pinto to fuel leakage and fire in a rear-end collision.","url":"https://en.wikipedia.org/wiki/National_Highway_Traffic_Safety_Administration"},{"year":1975,"text":"The Timorese Democratic Union launched a coup in Portuguese Timor, starting the East Timorese civil war.","url":"https://en.wikipedia.org/wiki/Timorese_Democratic_Union"},{"year":1973,"text":"At a party in New York City, Jamaican musician DJ Kool Herc (pictured) began rapping during an extended break, laying the foundation for hip hop music.","url":"https://en.wikipedia.org/wiki/DJ_Kool_Herc"},{"year":1952,"text":"King Talal of Jordan was forced to abdicate due to mental illness and was succeeded by his eldest son, Hussein.","url":"https://en.wikipedia.org/wiki/Talal_of_Jordan"},{"year":1945,"text":"Amid rumors of kidnappings of children by Jews in Kraków, a crowd of Poles took part in a pogrom, resulting in at least one death.","url":"https://en.wikipedia.org/wiki/Krak%C3%B3w"},{"year":1929,"text":"The first Bud Billiken Parade and Picnic, the oldest and largest African-American parade in the United States, was held in Chicago.","url":"https://en.wikipedia.org/wiki/Bud_Billiken_Parade_and_Picnic"},{"year":1786,"text":"Francis Light founded George Town (city hall pictured), the first British settlement in Southeast Asia and the present-day capital of the Malaysian state of Penang.","url":"https://en.wikipedia.org/wiki/Francis_Light"},{"year":1492,"text":"The first conclave to be held in the Sistine Chapel elected Roderic Borja as Pope Alexander VI to succeed Innocent VIII.","url":"https://en.wikipedia.org/wiki/1492_conclave"},{"year":1309,"text":"Reconquista: Aragonese forces led by King James II landed on the coast of Almería, beginning an ultimately unsuccessful siege of the city, then held by the Emirate of Granada.","url":"https://en.wikipedia.org/wiki/Reconquista"},{"year":106,"text":"The region of Dacia, comprising parts of modern Romania, became a province of the Roman Empire.","url":"https://en.wikipedia.org/wiki/AD_106"}],"births":[{"year":2002,"text":"Marvin Harrison Jr., American football player","url":"https://en.wikipedia.org/wiki/Marvin_Harrison_Jr."},{"year":2001,"text":"Moyuka Uchijima, Japanese tennis player","url":"https://en.wikipedia.org/wiki/Moyuka_Uchijima"},{"year":1999,"text":"Gregoria Mariska Tunjung, Indonesian badminton player","url":"https://en.wikipedia.org/wiki/Gregoria_Mariska_Tunjung"},{"year":1999,"text":"Changbin, South Korean rapper","url":"https://en.wikipedia.org/wiki/Changbin"},{"year":1997,"text":"Sarah Clelland, Scottish footballer","url":"https://en.wikipedia.org/wiki/Sarah_Clelland"},{"year":1995,"text":"Brad Binder, South African motorcycle racer","url":"https://en.wikipedia.org/wiki/Brad_Binder"},{"year":1994,"text":"Storm Sanders, Australian tennis player","url":"https://en.wikipedia.org/wiki/Storm_Hunter"},{"year":1994,"text":"Anton Cooper, New Zealand cross-country cyclist","url":"https://en.wikipedia.org/wiki/Anton_Cooper"}],"deaths":[{"year":2025,"text":"Miguel Uribe Turbay, Colombian precandidate to presidency (born 1986)","url":"https://en.wikipedia.org/wiki/Miguel_Uribe_Turbay"},{"year":2025,"text":"Danielle Spencer, American actress (born 1965)","url":"https://en.wikipedia.org/wiki/Danielle_Spencer_(American_actress)"},{"year":2024,"text":"Ángel Salazar, Cuban-American comedian and actor (born 1956)","url":"https://en.wikipedia.org/wiki/%C3%81ngel_Salazar"},{"year":2024,"text":"Noël Treanor, Irish Roman Catholic prelate (born 1950)","url":"https://en.wikipedia.org/wiki/No%C3%ABl_Treanor"},{"year":2023,"text":"Mike Ahern, Australian politician, 32nd Premier of Queensland (born 1942)","url":"https://en.wikipedia.org/wiki/Mike_Ahern_(Australian_politician)"},{"year":2022,"text":"Anne Heche, American actress (born 1969)","url":"https://en.wikipedia.org/wiki/Anne_Heche"},{"year":2022,"text":"Hanae Mori, Japanese fashion designer (born 1926)","url":"https://en.wikipedia.org/wiki/Hanae_Mori"},{"year":2020,"text":"Trini Lopez, American singer and guitarist (born 1937)","url":"https://en.wikipedia.org/wiki/Trini_Lopez"}]},"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 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Every item links to its source."}