{"date":"2026-06-30","schema_version":1,"captured_at":"2026-08-25T23:14:14.193Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"2026 FIFA World Cup","views":657141,"rank":3,"extract":"The 2026 FIFA World Cup was the 23rd FIFA World Cup, the quadrennial international men's soccer championship contested by the national teams of the member associations of FIFA. The tournament began on June 11, 2026, and concluded on July 19 with Spain winning ","url":"https://en.wikipedia.org/wiki/2026_FIFA_World_Cup","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/1/17/2026_FIFA_World_Cup_emblem.svg/330px-2026_FIFA_World_Cup_emblem.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Zion Suzuki","views":533055,"rank":5,"extract":"Zion Suzuki is a professional footballer who plays as a goalkeeper for Premier League club Aston Villa. 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(2025)","points":207,"comments":185,"url":"https://www.maturitas.org/article/S0378-5122(25)00571-7/fulltext","discussion":"https://news.ycombinator.com/item?id=48730694"},{"title":"I built a mmWave material classification radar (2025)","points":203,"comments":60,"url":"https://gauthier-lechevalier.com/radar","discussion":"https://news.ycombinator.com/item?id=48736137"}],"research":[{"title":"A binarized-domains arc-consistency algorithm for TCSPs: its computational analysis and its use as a filtering procedure in solution search algorithms","abstract":"TCSPs (Temporal Constraint Satisfaction Problems) [Dechter et al. 1991] get rid of unary constraints by binarizing them after having added an "origin of the world" variable. In this work, we look at the constraints between the "origin of the world" variable and the other variables, as the (binarized) domains of these other variables. With this in mind, we define a notion of arc-consistency for TCSPs, ","authors":["Isli, Amar"],"url":"https://arxiv.org/abs/2002.11508","arxiv_id":"2002.11508","published":"2026-06-30"},{"title":"Ensemble Learning Based Classification Algorithm Recommendation","abstract":"Selecting an appropriate classification algorithm for a given data set remains a challenging problem in data mining and machine learning. Existing algorithm recommendation models are typically trained with individual learners and rely on only one type of meta-feature, which may limit their ability to capture the diverse characteristics of classification problems. This paper proposes a multi-view ensemble meta-learnin","authors":["Wang, Guangtao","Song, Qinbao","Zhu, Xiaoyan","Liu, Jiao"],"url":"https://arxiv.org/abs/2101.05993","arxiv_id":"2101.05993","published":"2026-06-30"},{"title":"Multiply Robust Causal Mediation Analysis with Continuous Treatments","abstract":"In many applications, researchers are interested in the direct and indirect causal effects of a treatment or exposure on an outcome of interest. Mediation analysis offers a rigorous framework for identifying and estimating these causal effects. For binary treatments, efficient estimators for the direct and indirect effects are presented by Tchetgen Tchetgen and Shpitser (2012) based on the influence function of the p","authors":["Xu, Yizhen","Ghassami, AmirEmad","Sani, Numair","Shpitser, Ilya"],"url":"https://arxiv.org/abs/2105.09254","arxiv_id":"2105.09254","published":"2026-06-30"},{"title":"Attack Rules: An Adversarial Approach to Generate Attacks for Industrial Control Systems using Machine Learning","abstract":"Adversarial learning is used to test the robustness of machine learning algorithms under attack and create attacks that deceive the anomaly detection methods in Industrial Control System (ICS). Given that security assessment of an ICS demands that an exhaustive set of possible attack patterns is studied, in this work, we propose an association rule mining-based attack generation technique. The technique has been impl","authors":["Umer, Muhammad Azmi","Ahmed, Chuadhry Mujeeb","Jilani, Muhammad Taha","Mathur, Aditya P."],"url":"https://arxiv.org/abs/2107.05127","arxiv_id":"2107.05127","published":"2026-06-30"},{"title":"Lagrangian Inference for Ranking Problems","abstract":"We propose a novel combinatorial inference framework to conduct general uncertainty quantification in ranking problems. We consider the widely adopted Bradley-Terry-Luce (BTL) model, where each item is assigned a positive preference score that determines the Bernoulli distributions of pairwise comparisons' outcomes. Our proposed method aims to infer general ranking properties of the BTL model. The general ranking","authors":["Liu, Yue","Fang, Ethan X.","Lu, Junwei"],"url":"https://arxiv.org/abs/2110.00151","arxiv_id":"2110.00151","published":"2026-06-30"},{"title":"Deep learning-based NLP Data Pipeline for EHR Scanned Document Information Extraction","abstract":"Scanned documents in electronic health records (EHR) have been a challenge for decades, and are expected to stay in the foreseeable future. Current approaches for processing often include image preprocessing, optical character recognition (OCR), and text mining. However, there is limited work that evaluates the choice of image preprocessing methods, the selection of NLP models, and the role of document layout. The im","authors":["Hsu, Enshuo","Malagaris, Ioannis","Kuo, Yong-Fang","Sultana, Rizwana","Roberts, Kirk"],"url":"https://arxiv.org/abs/2110.11864","arxiv_id":"2110.11864","published":"2026-06-30"},{"title":"A Data-Centric Approach to Generate Invariants for a Smart Grid Using Machine Learning","abstract":"Cyber-Physical Systems (CPS) have gained popularity due to the increased requirements on their uninterrupted connectivity and process automation. Due to their connectivity over the network including intranet and internet, dependence on sensitive data, heterogeneous nature, and large-scale deployment, they are highly vulnerable to cyber-attacks. Cyber-attacks are performed by creating anomalies in the normal operation","authors":["Hudani, Danish","Haseeb, Muhammad","Taufiq, Muhammad","Umer, Muhammad Azmi","Kandasamy, Nandha Kumar"],"url":"https://arxiv.org/abs/2202.06717","arxiv_id":"2202.06717","published":"2026-06-30"},{"title":"Reproducing sensory induced hallucinations via neural fields","abstract":"Understanding sensory-induced cortical patterns in the primary visual cortex V1 is an important challenge both for physiological motivations and for improving our understanding of human perception and visual organisation. In this work, we focus on pattern formation in the visual cortex when the cortical activity is driven by a geometric visual hallucination-like stimulus. In particular, we present a theoretical frame","authors":["Tamekue, Cyprien","Prandi, Dario","Chitour, Yacine"],"url":"https://arxiv.org/abs/2207.03901","arxiv_id":"2207.03901","published":"2026-06-30"},{"title":"Resolution for Constrained Pseudo-Propositional Logic","abstract":"This work, shows how propositional resolution can be generalized to obtain a resolution proof system for constrained pseudo-propositional logic (CPPL), which is an extension resulted from inserting the natural numbers with few constraints symbols into the alphabet of propositional logic and adjusting the underling language accordingly. Unlike the construction of CNF formulas which are restricted to a finite set of cl","authors":["Azizi-Sultan, Ahmad-Saher"],"url":"https://arxiv.org/abs/2306.06630","arxiv_id":"2306.06630","published":"2026-06-30"},{"title":"Assortment Planning with Sponsored Products","abstract":"In the rapidly evolving landscape of retail, assortment planning plays a crucial role in determining the success of a business. With the rise of sponsored products and their increasing prominence in online marketplaces, retailers face new challenges in effectively managing their product assortment in the presence of sponsored products. Remarkably, previous research in assortment planning largely overlooks the existen","authors":["Tang, Shaojie","Cai, Shuzhang","Yuan, Jing","Han, Kai"],"url":"https://arxiv.org/abs/2402.06158","arxiv_id":"2402.06158","published":"2026-06-30"},{"title":"Modelling Human Values for Value-Aware Multi-Agent Systems","abstract":"One of today's most pressing societal challenges is building AI systems whose behaviour, or the behaviour it enables within communities of interacting human and artificial agents, aligns with relevant human values. To address this challenge, we propose a formal computational framework for representing human values that provides the foundational structures required for value-aware reasoning in multi-agent systems.","authors":["Osman, Nardine","d'Inverno, Mark"],"url":"https://arxiv.org/abs/2402.06359","arxiv_id":"2402.06359","published":"2026-06-30"},{"title":"Large and Deep Factor Models","abstract":"We show that a deep neural network (DNN) trained to construct a stochastic discount factor (SDF) admits an additive decomposition separating nonlinear characteristic discovery from the pricing rule that aggregates them. This decomposition yields a linear factor representation governed by the Portfolio Tangent Kernel (PTK), which summarizes the network's learned features. In population, the implied SDF converges t","authors":["Kelly, Bryan","Kuznetsov, Boris","Malamud, Semyon","Zhang, Yuan"],"url":"https://arxiv.org/abs/2402.06635","arxiv_id":"2402.06635","published":"2026-06-30"},{"title":"Multimodal Large Language Model driven Radiology Report Generation with Clinical Knowledge Enhancement","abstract":"Radiology report generation (RRG) has attracted significant attention due to its potential to reduce the workload of radiologists. The performance of current RRG approaches remains unsatisfactory against clinical standards. This paper introduces a novel RRG method, MLLM-RRG, that integrates multimodal large language models (MLLMs) with various types of clinical knowledge to generate accurate and comprehensive chest X","authors":["Shi, Miaojing","Cen, Tianyu","Yue, Zijie","Wei, Meng","Alabi, Oluwatosin","Vercauteren, Tom"],"url":"https://arxiv.org/abs/2403.06728","arxiv_id":"2403.06728","published":"2026-06-30"},{"title":"SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces","abstract":"Given the remarkable achievements in image generation through diffusion models, the research community has shown increasing interest in extending these models to video generation. Recent diffusion models for video generation have predominantly utilized attention layers to extract temporal features. However, attention layers are limited by their computational costs, which increase quadratically with the sequence lengt","authors":["Oshima, Yuta","Taniguchi, Shohei","Suzuki, Masahiro","Matsuo, Yutaka"],"url":"https://arxiv.org/abs/2403.07711","arxiv_id":"2403.07711","published":"2026-06-30"},{"title":"New methods to compute the generalized chi-square distribution","abstract":"We present four new mathematical methods, two exact and two approximate, along with open-source software, to compute the cdf, pdf and inverse cdf of the generalized chi-square distribution. Some methods are geared for speed, while others are designed to be accurate far into the tails, using which we can also measure large values of the discriminability index $d'$ between multivariate normal distributions. We comp","authors":["Das, Abhranil"],"url":"https://arxiv.org/abs/2404.05062","arxiv_id":"2404.05062","published":"2026-06-30"},{"title":"Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks","abstract":"Mitigating cybersecurity risk in electric vehicle (EV) charging demand forecasting plays a crucial role in the safe operation of collective EV chargings, the stability of the power grid, and the cost-effective infrastructure expansion. However, existing methods either suffer from the data privacy issue and the susceptibility to cyberattacks or fail to consider the spatial correlation among different stations. To addr","authors":["Li, Yi","Xie, Renyou","Li, Chaojie","Wang, Yi","Dong, Zhaoyang"],"url":"https://arxiv.org/abs/2405.00742","arxiv_id":"2405.00742","published":"2026-06-30"},{"title":"Instance-Conditioned Adaptation for Large-scale Generalization of Neural Routing Solver","abstract":"In modern intelligent transportation systems (ITS), particularly in freight transportation and logistics, real-time route planning is crucial. It presents unique challenges driven by high uncertainty in service requests, where the number of service customers can vary drastically, ranging from hundreds to thousands. Existing neural methods struggle to maintain performance under such significant variations, which sever","authors":["Zhou, Changliang","Lin, Xi","Wang, Zhenkun","Tong, Xialiang","Yuan, Mingxuan","Zhang, Qingfu"],"url":"https://arxiv.org/abs/2405.01906","arxiv_id":"2405.01906","published":"2026-06-30"},{"title":"Personalized Additive Modeling for Multi-level Federated Learning","abstract":"Contemporary AI faces the challenge of balancing generality with user-specific personalization. In federated learning (FL), this challenge is amplified by highly heterogeneous client data with complex non-IID patterns beyond standard IID assumptions. Many existing FL methods are designed for relatively restricted heterogeneity settings (e.g., a fixed number of clusters or a fixed form of personalization), limiting th","authors":["Chen, Shutong","Long, Guodong","Zhou, Tianyi","Ma, Jie","Jiang, Jing","Zhang, Chengqi"],"url":"https://arxiv.org/abs/2405.16472","arxiv_id":"2405.16472","published":"2026-06-30"},{"title":"BEACON: A Bayesian Optimization Inspired Strategy for Efficient Novelty Search","abstract":"Novelty search (NS) aims to uncover diverse system behaviors through simulation or experiment without requiring a pre-specified scalar objective. This capability is especially relevant to modern discovery problems in chemistry, materials science, and molecular design, where researchers often seek broad coverage of attainable property space rather than a single optimum and where each evaluation may require a costly co","authors":["Tang, Wei-Ting","Chakrabarty, Ankush","Paulson, Joel A."],"url":"https://arxiv.org/abs/2406.03616","arxiv_id":"2406.03616","published":"2026-06-30"},{"title":"Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework","abstract":"Existing evaluations of tabular synthesis models rely primarily on low-order statistics and downstream task performance, leaving multivariate causal relationships that go beyond pairwise correlations largely unmeasured. We argue that a systematic evaluation on high-order structural information is a crucial first step in addressing this issue in tabular data synthesis. In this paper, we present high-order structural c","authors":["Senane, Zineb","Karlsson, Axel","Cao, Lele","Smirnov, Oleg","Zhang, Cheng","Asadi, Sahar"],"url":"https://arxiv.org/abs/2406.08311","arxiv_id":"2406.08311","published":"2026-06-30"},{"title":"Generalization error of min-norm interpolators in transfer learning","abstract":"This paper establishes the generalization error of pooled min-$\\ell_2$-norm interpolation in transfer learning, where data from diverse distributions are available. Min-norm interpolators arise naturally as implicit regularized limits of modern machine learning algorithms. Prior work has characterized their out-of-distribution risk when samples from the test distribution are unavailable during training. In many appli","authors":["Song, Yanke","Gu, Kenneth","Bhattacharya, Sohom","Sur, Pragya"],"url":"https://arxiv.org/abs/2406.13944","arxiv_id":"2406.13944","published":"2026-06-30"},{"title":"Towards Complete Causal Explanation with Expert Knowledge","abstract":"We study the problem of restricting a Markov equivalence class of maximal ancestral graphs (MAGs) to only those MAGs that contain certain edge marks, which we refer to as expert or orientation knowledge. Such a restriction of the Markov equivalence class can be uniquely represented by a restricted essential ancestral graph. Our contributions are several-fold. First, we prove certain properties for the entire Markov e","authors":["Venkateswaran, Aparajithan","Perković, Emilija"],"url":"https://arxiv.org/abs/2407.07338","arxiv_id":"2407.07338","published":"2026-06-30"},{"title":"OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale","abstract":"Optimization problems are pervasive in sectors from manufacturing and distribution to healthcare. However, most such problems are still solved heuristically by hand rather than optimally by state-of-the-art solvers because the expertise required to formulate and solve these problems limits the widespread adoption of optimization tools and techniques. We introduce a Large Language Model (LLM)-based system designed to ","authors":["AhmadiTeshnizi, Ali","Gao, Wenzhi","Brunborg, Herman","Talaei, Shayan","Lawless, Connor","Udell, Madeleine"],"url":"https://arxiv.org/abs/2407.19633","arxiv_id":"2407.19633","published":"2026-06-30"},{"title":"ProSpec RL: Plan Ahead, then Execute","abstract":"Imagining potential outcomes of actions before execution helps agents make more informed decisions, a prospective thinking ability fundamental to human cognition. However, mainstream model-free Reinforcement Learning (RL) methods lack the ability to proactively envision future scenarios, plan, and guide strategies. These methods typically rely on trial and error to adjust policy functions, aiming to maximize cumulati","authors":["Liu, Liangliang","Guan, Yi","Wang, BoRan","Shen, Rujia","Lin, Yi","Kong, Chaoran"],"url":"https://arxiv.org/abs/2407.21359","arxiv_id":"2407.21359","published":"2026-06-30"},{"title":"Beyond Spectral Decomposition: Bayesian Contrastive Learning and its Non-negative Formulation via Factor Analysis","abstract":"Factor analysis, often regarded as a Bayesian variant of matrix factorization, offers superior capabilities in capturing uncertainty, modeling complex dependencies, and ensuring robustness. As the deep learning era arrives, factor analysis is receiving less and less attention due to their limited expressive ability. On the contrary, contrastive learning has emerged as a potent technique with demonstrated efficacy in ","authors":["Duan, Zhibin","Wen, Tiansheng","Wang, Yifei","Zhu, Chen","Chen, Bo","Zhou, Mingyuan"],"url":"https://arxiv.org/abs/2407.21740","arxiv_id":"2407.21740","published":"2026-06-30"}],"history":{"events":[{"year":2015,"text":"An Indonesian Air Force military transport aircraft (pictured) crashed near a residential neighborhood in Medan, killing 139 people.","url":"https://en.wikipedia.org/wiki/Indonesian_Air_Force"},{"year":2009,"text":"Yemenia Flight 626 crashed into the Indian Ocean near the Comoros, killing 152 people, with French schoolgirl Bahia Bakari the sole survivor.","url":"https://en.wikipedia.org/wiki/Yemenia_Flight_626"},{"year":1989,"text":"A building fire in Atlanta killed five people.","url":"https://en.wikipedia.org/wiki/Peachtree_25th_Building_fire"},{"year":1985,"text":"Ryan White, an HIV/AIDS patient in the US, was denied re-admission to his school after he had contracted the disease from hemophilia treatments.","url":"https://en.wikipedia.org/wiki/Ryan_White"},{"year":1974,"text":"Municipal workers in Baltimore, Maryland, went on strike seeking higher wages and better conditions.","url":"https://en.wikipedia.org/wiki/Baltimore"},{"year":1966,"text":"The National Organization for Women, a leading United States feminist organization, was founded in Washington, D.C.","url":"https://en.wikipedia.org/wiki/National_Organization_for_Women"},{"year":1963,"text":"The coronation of Pope Paul VI took place, the last such ceremony before its abandonment by later popes.","url":"https://en.wikipedia.org/wiki/Coronation_of_Pope_Paul_VI"},{"year":1960,"text":"The Belgian Congo gained independence from colonial rule, beginning a period of instability that would lead to the dictatorship of Joseph-Désiré Mobutu.","url":"https://en.wikipedia.org/wiki/Belgian_Congo"},{"year":1934,"text":"German chancellor Adolf Hitler began a purge of the paramilitary wing of the Nazi Party and other political rivals, executing at least 85 people.","url":"https://en.wikipedia.org/wiki/Adolf_Hitler"},{"year":1905,"text":"Nadir of American race relations: A mob of white Americans killed eight people in Oconee County, Georgia, as part of a mass lynching.","url":"https://en.wikipedia.org/wiki/Nadir_of_American_race_relations"},{"year":1894,"text":"Tower Bridge (pictured), a combined bascule and suspension bridge over the River Thames in London, was inaugurated.","url":"https://en.wikipedia.org/wiki/Tower_Bridge"},{"year":1859,"text":"French acrobat Charles Blondin crossed Niagara Gorge, making him one of the world's most famous tightrope walkers.","url":"https://en.wikipedia.org/wiki/Charles_Blondin"},{"year":1598,"text":"Anglo-Spanish War: After a 15-day siege Spanish troops in San Juan, modern-day Puerto Rico, surrendered to an English force under Sir George Clifford.","url":"https://en.wikipedia.org/wiki/Anglo-Spanish_War_(1585%E2%80%931604)"},{"year":1559,"text":"During a jousting match, King Henry II of France was mortally wounded when fragments of Gabriel Montgomery's lance pierced his eye.","url":"https://en.wikipedia.org/wiki/Jousting"},{"year":1398,"text":"Zhu Yunwen ascended the throne to the Ming dynasty to become the Jianwen Emperor.","url":"https://en.wikipedia.org/wiki/Ming_dynasty"}],"births":[{"year":1998,"text":"Tom Davies, English footballer","url":"https://en.wikipedia.org/wiki/Tom_Davies_(footballer%2C_born_1998)"},{"year":1997,"text":"A. J. Brown, American football player","url":"https://en.wikipedia.org/wiki/A._J._Brown"},{"year":1997,"text":"Reuben Garrick, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Reuben_Garrick"},{"year":1995,"text":"bbno$, Canadian singer-songwriter","url":"https://en.wikipedia.org/wiki/Bbno%24"},{"year":1993,"text":"Trea Turner, American baseball player","url":"https://en.wikipedia.org/wiki/Trea_Turner"},{"year":1991,"text":"Jaimin Rajani, Indian singer-songwriter","url":"https://en.wikipedia.org/wiki/Jaimin_Rajani"},{"year":1989,"text":"Asbel Kiprop, Kenyan runner","url":"https://en.wikipedia.org/wiki/Asbel_Kiprop"},{"year":1989,"text":"Steffen Liebig, German rugby player","url":"https://en.wikipedia.org/wiki/Steffen_Liebig"}],"deaths":[{"year":2025,"text":"Kenneth Colley, English actor (born 1937)","url":"https://en.wikipedia.org/wiki/Kenneth_Colley"},{"year":2025,"text":"Jim Shooter, American author and illustrator (born 1951)","url":"https://en.wikipedia.org/wiki/Jim_Shooter"},{"year":2021,"text":"Raj Kaushal, Indian Film Director and Producer (born 1971)","url":"https://en.wikipedia.org/wiki/Raj_Kaushal"},{"year":2020,"text":"Stella Madzimbamuto, Zimbabwean activist (born 1930)","url":"https://en.wikipedia.org/wiki/Stella_Madzimbamuto"},{"year":2018,"text":"Smoke Dawg, Canadian rapper (born 1996)","url":"https://en.wikipedia.org/wiki/Smoke_Dawg"},{"year":2017,"text":"Barry Norman, English television presenter (born 1933)","url":"https://en.wikipedia.org/wiki/Barry_Norman"},{"year":2017,"text":"Simone Veil, French lawyer and politician (born 1927)","url":"https://en.wikipedia.org/wiki/Simone_Veil"},{"year":2015,"text":"Charles W. Bagnal, American general (born 1934)","url":"https://en.wikipedia.org/wiki/Charles_W._Bagnal"}]},"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 Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","licence":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"licence":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}