{"date":"2026-06-15","schema_version":1,"captured_at":"2026-08-25T23:12:23.412Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Oliver Tree","views":1508668,"rank":2,"extract":"Oliver Tree Nickell was an American singer-songwriter, rapper, and record producer. Born in Santa Cruz, California, Tree signed to Atlantic Records in 2017 after his song \"When I'm Down\" went viral. 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Not technically impossible","points":290,"comments":582,"url":"https://gmalandrakis.com/writings/ad-economicum.html","discussion":"https://news.ycombinator.com/item?id=48547062"},{"title":"What job interviews taught me about Kubernetes","points":273,"comments":224,"url":"https://notnotp.com/notes/what-job-interviews-taught-me-about-kubernetes/","discussion":"https://news.ycombinator.com/item?id=48546428"},{"title":"Hetzner increased dedicated server prices 3-4x","points":273,"comments":2,"url":"https://news.ycombinator.com/item?id=48542064","discussion":"https://news.ycombinator.com/item?id=48542064"},{"title":"Dutch Railways offers unlimited off-peak train travel nationwide for €49/month","points":240,"comments":144,"url":"https://www.ns.nl/en/season-tickets/dal-vrij","discussion":"https://news.ycombinator.com/item?id=48543872"},{"title":"Game Engine White Papers: Commander Keen","points":240,"comments":80,"url":"https://forgottenbytes.net/commander_keen.html","discussion":"https://news.ycombinator.com/item?id=48544781"},{"title":"US battery manufacturing output continues to break records","points":230,"comments":196,"url":"https://fred.stlouisfed.org/series/IPG33591S","discussion":"https://news.ycombinator.com/item?id=48546616"}],"research":[{"title":"Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review","abstract":"As the concept and implementation of cutting-edge technologies like artificial intelligence and machine learning has become relevant, academics, researchers and information professionals involve research in this area. The objective of this systematic literature review is to provide a synthesis of empirical studies exploring application of artificial intelligence and machine learning in libraries. To achieve the objec","authors":["Das, Rajesh Kumar","Islam, Mohammad Sharif Ul"],"url":"https://arxiv.org/abs/2112.04573","arxiv_id":"2112.04573","published":"2026-06-15"},{"title":"Equivariant Representation Learning via Class-Pose Decomposition","abstract":"We introduce a general method for learning representations that are equivariant to symmetries of data. Our central idea is to decompose the latent space into an invariant factor and the symmetry group itself. The components semantically correspond to intrinsic data classes and poses respectively. The learner is trained on a loss encouraging equivariance based on supervision from relative symmetry information. The app","authors":["Marchetti, Giovanni Luca","Tegnér, Gustaf","Varava, Anastasiia","Kragic, Danica"],"url":"https://arxiv.org/abs/2207.03116","arxiv_id":"2207.03116","published":"2026-06-15"},{"title":"Supervised Contrastive Learning with Hard Negative Samples","abstract":"Through minimization of an appropriate loss function such as the InfoNCE loss, contrastive learning (CL) learns a useful representation function by pulling positive samples close to each other while pushing negative samples far apart in the embedding space. The positive samples are typically created using &#34;label-preserving&#34; augmentations, i.e., domain-specific transformations of a given datum or anchor. In ab","authors":["Jiang, Ruijie","Nguyen, Thuan","Ishwar, Prakash","Aeron, Shuchin"],"url":"https://arxiv.org/abs/2209.00078","arxiv_id":"2209.00078","published":"2026-06-15"},{"title":"NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)","abstract":"In March 2020, Neural Radiance Field (NeRF) revolutionized Computer Vision, allowing for implicit, neural network-based scene representation and novel view synthesis. NeRF models have found diverse applications in robotics, urban mapping, autonomous navigation, virtual reality/augmented reality, and more. In August 2023, Gaussian Splatting, a direct competitor to the NeRF-based framework, was proposed, gaining tremen","authors":["Gao, Kyle","Gao, Yina","He, Hongjie","Lu, Dening","Xu, Linlin","Li, Jonathan"],"url":"https://arxiv.org/abs/2210.00379","arxiv_id":"2210.00379","published":"2026-06-15"},{"title":"Learning optimal policies from event logs through reinforcement learning: a comparison of deep and MDP-based approaches","abstract":"Prescriptive Process Monitoring is an emerging area within Process Mining that focuses on recommending actions to optimize business outcomes. Most existing works prescribe pre-defined interventions, i.e., sets of actions applied to ongoing process executions to achieve a specific objective or Key Performance Indicator (KPI). In contrast, only a few approaches have explored learning and evaluating optimal behavioral p","authors":["Branchi, Stefano","Buliga, Andrei","Di Francescomarino, Chiara","Ghidini, Chiara","Graziosi, Riccardo","Meneghello, Francesca"],"url":"https://arxiv.org/abs/2303.09209","arxiv_id":"2303.09209","published":"2026-06-15"},{"title":"Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation","abstract":"The remarkable achievements of Large Language Models (LLMs) have led to the emergence of a novel recommendation paradigm -- Recommendation via LLM (RecLLM). Nevertheless, it is important to note that LLMs may contain social prejudices, and therefore, the fairness of recommendations made by RecLLM requires further investigation. To avoid the potential risks of RecLLM, it is imperative to evaluate the fairness of RecLL","authors":["Zhang, Jizhi","Bao, Keqin","Zhang, Yang","Wang, Wenjie","Feng, Fuli","He, Xiangnan"],"url":"https://arxiv.org/abs/2305.07609","arxiv_id":"2305.07609","published":"2026-06-15"},{"title":"Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse","abstract":"For a widely-studied data model and general loss and sample-hardening functions we prove that the losses of Supervised Contrastive Learning (SCL), Hard-SCL (HSCL), and Unsupervised Contrastive Learning (UCL) are minimized by representations that exhibit Neural-Collapse (NC), i.e., the class means form an Equiangular Tight Frame (ETF) and data from the same class are mapped to the same representation. We also prove th","authors":["Jiang, Ruijie","Nguyen, Thuan","Aeron, Shuchin","Ishwar, Prakash"],"url":"https://arxiv.org/abs/2311.05139","arxiv_id":"2311.05139","published":"2026-06-15"},{"title":"On Rate-Optimal Partitioning Classification from Observable and from Privatised Data","abstract":"In this paper we revisit the classical method of partitioning classification and prove novel convergence rates under relaxed conditions, both for observable (non-privatised) and for privatised data. We consider the problem of classification in a $d$ dimensional Euclidean space. Previous results on the partitioning classifier worked with the strong density assumption (SDA), which is restrictive, as we demonstrate thro","authors":["Csáji, Balázs Csanád","Györfi, László","Tamás, Ambrus","Walk, Harro"],"url":"https://arxiv.org/abs/2312.14889","arxiv_id":"2312.14889","published":"2026-06-15"},{"title":"Leave-One-Out-, Bootstrap- and Cross-Conformal Anomaly Detectors","abstract":"The need for uncertainty quantification in anomaly detection systems has become increasingly important. In this context, effectively controlling Type I error rates without inflating Type II error rates in these systems can build trust and reduce costs associated with false discoveries. The field of conformal anomaly detection emerges as a promising approach for providing respective statistical and finite-sample valid","authors":["Hennhöfer, Oliver","Preisach, Christine"],"url":"https://arxiv.org/abs/2402.16388","arxiv_id":"2402.16388","published":"2026-06-15"},{"title":"Arbitrary control over multimode wave propagation for machine learning","abstract":"Controlled multimode wave propagation can enable more space-efficient photonic processors than architectures based on discrete components connected by single-mode waveguides. Instead of defining discrete elements, one can sculpt the continuous substrate of a photonic processor to perform computations through multimode interference in two dimensions. Here we designed and demonstrated a device with a refractive index t","authors":["Onodera, Tatsuhiro","Stein, Martin M.","Ash, Benjamin A.","Sohoni, Mandar M.","Bosch, Melissa","Yanagimoto, Ryotatsu"],"url":"https://arxiv.org/abs/2402.17750","arxiv_id":"2402.17750","published":"2026-06-15"},{"title":"Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection","abstract":"We propose a generalized debiased Lasso estimator based on a stability principle. When a single column of the design matrix is perturbed, the estimator admits a simple update formula that can be computed from the original solution. Under sub-Gaussian designs with well-conditioned covariance, this approximation is asymptotically accurate for all but a vanishing fraction of coordinates in the proportional growth regime","authors":["Liu, Jingbo"],"url":"https://arxiv.org/abs/2405.03063","arxiv_id":"2405.03063","published":"2026-06-15"},{"title":"Linking Named Entities in Diderot's Encyclopédie to Wikidata","abstract":"Diderot's Encyclopédie is a reference work from XVIIIth century in Europe that aimed at collecting the knowledge of its era. Wikipedia has the same ambition with a much greater scope. However, the lack of digital connection between the two encyclopedias may hinder their comparison and the study of how knowledge has evolved. A key element of Wikipedia is Wikidata that backs the articles with a graph of structured ","authors":["Nugues, Pierre"],"url":"https://arxiv.org/abs/2406.03221","arxiv_id":"2406.03221","published":"2026-06-15"},{"title":"MirrorCheck: Efficient Adversarial Defense for Vision-Language Models","abstract":"Vision-Language Models (VLMs) are increasingly susceptible to sophisticated adversarial attacks, including adaptive strategies specifically designed to bypass existing defenses. To address this vulnerability, we propose MirrorCheck, a robust and model-agnostic detection framework that operates effectively in both unimodal and multimodal settings. MirrorCheck leverages Text-to-Image (T2I) models to regenerate visual c","authors":["Fares, Samar","Ziu, Klea","Aremu, Toluwani","Durasov, Nikita","Takáč, Martin","Fua, Pascal"],"url":"https://arxiv.org/abs/2406.09250","arxiv_id":"2406.09250","published":"2026-06-15"},{"title":"Extrinsic Evaluation of Cultural Competence in Large Language Models","abstract":"Productive interactions between diverse users and language technologies require outputs from the latter to be culturally relevant and sensitive. Prior works have evaluated models' knowledge of cultural norms, values, and artifacts, without considering how this knowledge manifests in downstream applications. In this work, we focus on extrinsic evaluation of cultural competence in two text generation tasks, open-en","authors":["Bhatt, Shaily","Diaz, Fernando"],"url":"https://arxiv.org/abs/2406.11565","arxiv_id":"2406.11565","published":"2026-06-15"},{"title":"On the Geometry and Optimization of Polynomial Convolutional Networks","abstract":"We study convolutional neural networks with monomial activation functions. Specifically, we prove that their parameterization map is regular and is an isomorphism almost everywhere, up to rescaling the filters. By leveraging on tools from algebraic geometry, we explore the geometric properties of the image in function space of this map - typically referred to as neuromanifold. In particular, we compute the dimension ","authors":["Shahverdi, Vahid","Marchetti, Giovanni Luca","Kohn, Kathlén"],"url":"https://arxiv.org/abs/2410.00722","arxiv_id":"2410.00722","published":"2026-06-15"},{"title":"Automatic identification of diagnosis from hospital discharge letters via weakly supervised Natural Language Processing","abstract":"Identifying patient diagnoses from hospital discharge letters is essential for large-scale cohort selection and epidemiological research, but traditional supervised approaches require extensive manual annotation, which is often impractical for large textual datasets. We present a weakly supervised Natural Language Processing (NLP) pipeline for classifying Italian discharge letters without document-level manual annota","authors":["Torri, Vittorio","Barbieri, Elisa","Cantarutti, Anna","Giaquinto, Carlo","Ieva, Francesca"],"url":"https://arxiv.org/abs/2410.15051","arxiv_id":"2410.15051","published":"2026-06-15"},{"title":"Electricity Price Prediction Using Multi-Kernel Gaussian Process Regression Combined with Kernel-Based Support Vector Regression","abstract":"This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian Process Regression (GPR) and Support Vector Regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out-of-sample data is not very promising. By choosing a suitable data-dependent covariance function, we","authors":["Das, Abhinav","Schlüter, Stephan","Schneider, Lorenz"],"url":"https://arxiv.org/abs/2412.00123","arxiv_id":"2412.00123","published":"2026-06-15"},{"title":"A Water Efficiency Dataset for African Data Centers","abstract":"Artificial intelligence (AI) computing and data centers consume large amounts of freshwater, both directly for cooling and indirectly for electricity generation. While most attention has been paid to developed countries such as the U.S., this paper presents the first-of-its-kind dataset that combines nation-level weather and electricity generation data to estimate water usage effectiveness for data centers in 41 Afri","authors":["Shumba, Noah","Tshekiso, Opelo","Li, Pengfei","Fanti, Giulia","Ren, Shaolei"],"url":"https://arxiv.org/abs/2412.03716","arxiv_id":"2412.03716","published":"2026-06-15"},{"title":"A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges","abstract":"Time series anomaly detection presents various challenges due to the sequential and dynamic nature of time-dependent data. Traditional unsupervised methods frequently encounter difficulties in generalization, often overfitting to known normal patterns observed during training and struggling to adapt to unseen normality. In response to this limitation, self-supervised techniques for time series have garnered attention","authors":["Sánchez-Ferrera, Aitor","Calvo, Borja","Lozano, Jose A."],"url":"https://arxiv.org/abs/2501.15196","arxiv_id":"2501.15196","published":"2026-06-15"},{"title":"Denoising Score Matching with Random Features: Insights on Diffusion Models from Precise Learning Curves","abstract":"We theoretically investigate the phenomena of generalization and memorization in diffusion models. Empirical studies suggest that these phenomena are influenced by model complexity and the size of the training dataset. In our experiments, we further observe that the number of noise samples per data sample ($m$) used during Denoising Score Matching (DSM) plays a significant and non-trivial role. We capture these behav","authors":["George, Anand Jerry","Veiga, Rodrigo","Macris, Nicolas"],"url":"https://arxiv.org/abs/2502.00336","arxiv_id":"2502.00336","published":"2026-06-15"},{"title":"A Unified Theory of Sinusoidal Activation Families for Implicit Neural Representations","abstract":"Implicit Neural Representations (INRs) model continuous signals with compact neural networks and have become a standard tool in vision, graphics, and signal processing. A central challenge is accurately capturing fine detail without heavy hand-crafted encodings or brittle training heuristics. Across the literature, periodic activations have emerged as a compelling remedy: from SIREN, which uses a single sinusoid with","authors":["Morsali, Alireza","Vaez, MohammadJavad","Soltani, Mohammadhossein","Kazerouni, Amirhossein","Taati, Babak","Mohammad-Noori, Morteza"],"url":"https://arxiv.org/abs/2502.00869","arxiv_id":"2502.00869","published":"2026-06-15"},{"title":"MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models","abstract":"Entity state tracking is a necessary component of world modeling that requires maintaining coherent representations of entities over time. Previous work has benchmarked entity tracking performance in purely text-based tasks. We introduce MET-Bench, a multimodal entity tracking benchmark designed to evaluate the ability of vision-language models to track entity states across modalities. Using three domains, we assess ","authors":["Cohen, Vanya","Mooney, Raymond"],"url":"https://arxiv.org/abs/2502.10886","arxiv_id":"2502.10886","published":"2026-06-15"},{"title":"ADAPT: An Autonomous Forklift for Construction Site Operation","abstract":"Efficient material logistics play a critical role in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a promising solution to streamline on-site logistics, reducing reliance on human operators and mitigating labor shortages. This paper presents the development and evaluation of ADAPT (A","authors":["Huemer, Johannes","Murschitz, Markus","Schörghuber, Matthias","Reisinger, Lukas","Kadiofsky, Thomas","Weidinger, Christoph"],"url":"https://arxiv.org/abs/2503.14331","arxiv_id":"2503.14331","published":"2026-06-15"},{"title":"Vanishing Depth: Training Generalized Depth Adapters with Sinusoidal Depth Preprocessing for Pretrained RGB Encoders","abstract":"Generalized metric depth understanding is critical for precise vision-guided robotics, which current state-of-the-art (SOTA) vision-encoders do not support. To address this, we propose a self-supervised training approach that extends pretrained RGB encoders with a depth adapter to incorporate and align metric depth into a combined latent space without interfering with the pretrained RGB feature extraction. In combina","authors":["Koch, Paul","Krüger, Jörg"],"url":"https://arxiv.org/abs/2503.19947","arxiv_id":"2503.19947","published":"2026-06-15"},{"title":"Revisiting Outage for Edge Inference Systems","abstract":"One of the key missions of sixth-generation (6G) mobile networks is to deploy large-scale artificial intelligence (AI) models at the network edge to provide remote-inference services for edge devices. The resultant platform, known as edge inference, will support a wide range of Internet-of-Things applications, such as autonomous driving, industrial automation, and augmented reality. Given the mission-critical and tim","authors":["Wang, Zhanwei","Zeng, Qunsong","Zheng, Haotian","Huang, Kaibin"],"url":"https://arxiv.org/abs/2504.03686","arxiv_id":"2504.03686","published":"2026-06-15"}],"history":{"events":[{"year":2006,"text":"US president George W. Bush designated 140,000 square miles (360,000 km2) around the Northwestern Hawaiian Islands as the Papahānaumokuākea Marine National Monument, now one of the world's largest protected areas.","url":"https://en.wikipedia.org/wiki/George_W._Bush"},{"year":1996,"text":"The Troubles: The Provisional Irish Republican Army detonated a truck bomb in the commercial centre of Manchester, England, injuring more than 200 people and causing widespread damage to buildings.","url":"https://en.wikipedia.org/wiki/The_Troubles"},{"year":1995,"text":"Western Greece was struck by an earthquake registering 6.4–6.5 Mw that killed 26 people.","url":"https://en.wikipedia.org/wiki/1995_Aigio_earthquake"},{"year":1991,"text":"An eruption of Mount Pinatubo (pictured) in the Philippines deposited large amounts of particulate matter into the atmosphere, enough to briefly lower global temperatures by about 0.5 °C (0.9 °F).","url":"https://en.wikipedia.org/wiki/1991_eruption_of_Mount_Pinatubo"},{"year":1978,"text":"King Hussein of Jordan married American Lisa Halaby, who became known as Queen Noor of Jordan (pictured).","url":"https://en.wikipedia.org/wiki/Hussein_of_Jordan"},{"year":1944,"text":"World War II: The United States Army Air Forces began the first air raid of its strategic bombing campaign against the Japanese archipelago, although little damage was caused.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1921,"text":"Bessie Coleman (pictured) became the first Black person to earn an international pilot's license from the Fédération Aéronautique Internationale.","url":"https://en.wikipedia.org/wiki/Bessie_Coleman"},{"year":1920,"text":"Three African-American circus workers were lynched by a mob in Duluth, Minnesota, a crime that shocked the country for having taken place in the Northern United States.","url":"https://en.wikipedia.org/wiki/Duluth_lynchings"},{"year":1896,"text":"A magnitude-8.5 earthquake and a subsequent tsunami struck Japan, killing at least 22,000 people and destroying about 9,000 homes.","url":"https://en.wikipedia.org/wiki/1896_Sanriku_earthquake"},{"year":1878,"text":"Eadweard Muybridge took a series of photographs to prove that all four feet of a horse leave the ground when it gallops (animation pictured), which became the basis of motion pictures","url":"https://en.wikipedia.org/wiki/Eadweard_Muybridge"},{"year":1859,"text":"The shooting of a pig in the San Juan Islands led to the so-called Pig War over the border between the United States and British North America.","url":"https://en.wikipedia.org/wiki/San_Juan_Islands"},{"year":1800,"text":"War of the Second Coalition: The signing of the Convention of Alessandria brought temporary peace between France and Austria.","url":"https://en.wikipedia.org/wiki/War_of_the_Second_Coalition"},{"year":1520,"text":"Leo X issued the papal bull Exsurge Domine, censuring 41 propositions from Martin Luther's Ninety-five Theses and subsequent writings, and threatening him with excommunication unless he recanted.","url":"https://en.wikipedia.org/wiki/Pope_Leo_X"},{"year":1215,"text":"King John of England and a group of rebel barons agreed on the text of Magna Carta, an influential charter of rights.","url":"https://en.wikipedia.org/wiki/John%2C_King_of_England"},{"year":-763,"text":"The Bur-Sagale eclipse was observed in Assyria, the earliest solar eclipse mentioned in historical sources that has been successfully identified.","url":"https://en.wikipedia.org/wiki/760s_BC"}],"births":[{"year":2003,"text":"Pablo Barrios, Spanish footballer","url":"https://en.wikipedia.org/wiki/Pablo_Barrios_(footballer)"},{"year":1997,"text":"Madison Kocian, American gymnast","url":"https://en.wikipedia.org/wiki/Madison_Kocian"},{"year":1996,"text":"Aurora, Norwegian singer-songwriter","url":"https://en.wikipedia.org/wiki/Aurora_(singer)"},{"year":1996,"text":"Tia-Adana Belle, Barbadian athlete","url":"https://en.wikipedia.org/wiki/Tia-Adana_Belle"},{"year":1996,"text":"Hoshi, South Korean singer and dancer","url":"https://en.wikipedia.org/wiki/Hoshi_(South_Korean_singer)"},{"year":1994,"text":"Iñaki Williams, Basque-Ghanaian footballer","url":"https://en.wikipedia.org/wiki/I%C3%B1aki_Williams"},{"year":1993,"text":"Cooper Kupp, American football player","url":"https://en.wikipedia.org/wiki/Cooper_Kupp"},{"year":1993,"text":"Irfan Hadžić, Bosnian footballer","url":"https://en.wikipedia.org/wiki/Irfan_Had%C5%BEi%C4%87"}],"deaths":[{"year":2024,"text":"James Kent, American chef (born 1979)","url":"https://en.wikipedia.org/wiki/James_Kent_(chef)"},{"year":2024,"text":"Matija Sarkic, English-born Montenegrin footballer (born 1997)","url":"https://en.wikipedia.org/wiki/Matija_Sarkic"},{"year":2023,"text":"Glenda Jackson, English actress and politician (born 1936)","url":"https://en.wikipedia.org/wiki/Glenda_Jackson"},{"year":2019,"text":"Franco Zeffirelli, Italian film director (born 1923)","url":"https://en.wikipedia.org/wiki/Franco_Zeffirelli"},{"year":2014,"text":"Jacques Bergerac, French actor and businessman (born 1927)","url":"https://en.wikipedia.org/wiki/Jacques_Bergerac"},{"year":2013,"text":"Heinz Flohe, German footballer and manager (born 1948)","url":"https://en.wikipedia.org/wiki/Heinz_Flohe"},{"year":2013,"text":"José Froilán González, Argentinian racing driver (born 1922)","url":"https://en.wikipedia.org/wiki/Jos%C3%A9_Froil%C3%A1n_Gonz%C3%A1lez"},{"year":2013,"text":"Dennis O'Rourke, Australian director and producer (born 1945)","url":"https://en.wikipedia.org/wiki/Dennis_O'Rourke"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC 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Every item links to its source."}