{"date":"2026-03-23","schema_version":1,"captured_at":"2026-08-25T23:33:07.672Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Dhurandhar: The Revenge","views":713749,"rank":3,"extract":"Dhurandhar: The Revenge is a 2026 Indian Hindi-language spy action-thriller film written and directed by Aditya Dhar. It is produced by Dhar, Lokesh Dhar, and Jyoti Deshpande under Jio Studios and B62 Studios. 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In fact, the proof that we have developed in this paper is a rather simple algebraic proof being made straightforward, above all, by the introduction of two novel algebraic tools. Indeed, on the one hand, we introduce the notion of delta-distributio","authors":["Bechar, Ikhlef"],"url":"https://arxiv.org/abs/1709.09051","arxiv_id":"1709.09051","published":"2026-03-23"},{"title":"Predicting Hidden Links and Missing Nodes in Scale-Free Networks with Artificial Neural Networks","abstract":"There are many networks in real life which exist as form of Scale-free networks such as World Wide Web, protein-protein interaction network, semantic networks, airline networks, interbank payment networks, etc. If we want to analyze these networks, it is really necessary to understand the properties of scale-free networks. By using the properties of scale free networks, we can identify any type of anomalies in those ","authors":["Pran, Rakib Hassan"],"url":"https://arxiv.org/abs/2109.12331","arxiv_id":"2109.12331","published":"2026-03-23"},{"title":"Deep Face Restoration: A Survey","abstract":"Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Quality (LQ) input images, which is a domain-specific image restoration problem in the low-level computer vision area. The early face restoration methods mainly use statistical priors and degradation models, which are difficult to meet the requirements of real-world applications in practice. In recent years, face restoration has witnessed great pr","authors":["Wang, Tao","Zhang, Kaihao","Deng, Jiankang","Lu, Tong","Liu, Wei","Zafeiriou, Stefanos"],"url":"https://arxiv.org/abs/2211.02831","arxiv_id":"2211.02831","published":"2026-03-23"},{"title":"torchgfn: A PyTorch GFlowNet library","abstract":"The growing popularity of generative flow networks (GFlowNets or GFNs) from a range of researchers with diverse backgrounds and areas of expertise necessitates a library that facilitates the testing of new features (e.g., training losses and training policies) against standard benchmark implementations, or on a set of common environments. We present torchgfn, a PyTorch library that aims to address this need. Its core","authors":["Viviano, Joseph D.","Younis, Omar G.","Choi, Sanghyeok","Schmidt, Victor","Bengio, Yoshua","Lahlou, Salem"],"url":"https://arxiv.org/abs/2305.14594","arxiv_id":"2305.14594","published":"2026-03-23"},{"title":"EgoSpot:Egocentric Multimodal Control for Hands-Free Mobile Manipulation","abstract":"We propose a novel hands-free control framework for the Boston Dynamics Spot robot using the Microsoft HoloLens 2 mixed-reality headset. Enabling accessible robot control is critical for allowing individuals with physical disabilities to benefit from robotic assistance in daily activities, teleoperation, and remote interaction tasks. However, most existing robot control interfaces rely on manual input devices such as","authors":["Zhang, Ganlin","Zhang, Deheng","Duan, Longteng","Han, Guo","Fu, Yuqian","Paudel, Danda Pani"],"url":"https://arxiv.org/abs/2306.02393","arxiv_id":"2306.02393","published":"2026-03-23"},{"title":"Information-theoretic generalization bounds for learning from quantum data","abstract":"Learning tasks play an increasingly prominent role in quantum information and computation. They range from fundamental problems such as state discrimination and metrology over the framework of quantum probably approximately correct (PAC) learning, to the recently proposed shadow variants of state tomography. However, the many directions of quantum learning theory have so far evolved separately. We propose a general m","authors":["Caro, Matthias","Gur, Tom","Rouzé, Cambyse","França, Daniel Stilck","Subramanian, Sathyawageeswar"],"url":"https://arxiv.org/abs/2311.05529","arxiv_id":"2311.05529","published":"2026-03-23"},{"title":"Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction","abstract":"Predicting crowd intentions and trajectories is critical for a range of real-world applications, involving social robotics and autonomous driving. Accurately modeling such behavior remains challenging due to the complexity of pairwise spatial-temporal interactions and the heterogeneous influence of groupwise dynamics. To address these challenges, we propose Hyper-STTN, a Hypergraph-based Spatial-Temporal Transformer ","authors":["Wang, Weizheng","Yang, Baijian","Hong, Sungeun","Sun, Wenhai","Min, Byung-Cheol"],"url":"https://arxiv.org/abs/2401.06344","arxiv_id":"2401.06344","published":"2026-03-23"},{"title":"SRGS: Super-Resolution 3D Gaussian Splatting","abstract":"Low-resolution (LR) multi-view capture limits the fidelity of 3D Gaussian Splatting (3DGS). 3DGS super-resolution (SR) is therefore important, yet challenging because it must recover missing high-frequency details while enforcing cross-view geometric consistency. We revisit SRGS, a simple baseline that couples plug-in 2D SR priors with geometry-aware cross-view regularization, and observe that most subsequent advance","authors":["Feng, Xiang","He, Yongbo","Chen, Linxi","Yang, Yan","Wang, Chengkai","Chen, Yifei"],"url":"https://arxiv.org/abs/2404.10318","arxiv_id":"2404.10318","published":"2026-03-23"},{"title":"In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies","abstract":"We present a new random walk for uniformly sampling high-dimensional convex bodies. It achieves state-of-the-art runtime complexity with stronger guarantees on the output than previously known, namely in Rényi divergence (which implies TV, $\\mathcal{W}_2$, KL, $χ^2$). The proof departs from known approaches for polytime algorithms for the problem -- we utilize a stochastic diffusion perspective to show contraction to","authors":["Kook, Yunbum","Vempala, Santosh S.","Zhang, Matthew S."],"url":"https://arxiv.org/abs/2405.01425","arxiv_id":"2405.01425","published":"2026-03-23"},{"title":"Taking a Deep Breath: Enhancing Language Modeling of Large Language Models with Sentinel Tokens","abstract":"Large language models (LLMs) have shown promising efficacy across various tasks, becoming powerful tools in numerous aspects of human life. However, Transformer-based LLMs suffer a performance degradation when modeling long-term contexts due to they discard some information to reduce computational overhead. In this work, we propose a simple yet effective method to enable LLMs to take a deep breath, encouraging them t","authors":["Luo, Weiyao","Zheng, Suncong","Xia, Heming","Wang, Weikang","Lei, Yan","Liu, Tianyu"],"url":"https://arxiv.org/abs/2406.10985","arxiv_id":"2406.10985","published":"2026-03-23"},{"title":"Causal Learning in Biomedical Applications: Krebs Cycle as a Benchmark","abstract":"Learning causal relationships from time series data is an important but challenging problem. Existing synthetic datasets often contain hidden artifacts that can be exploited by causal discovery methods, reducing their usefulness for benchmarking. We present a new benchmark dataset based on simulations of the Krebs cycle, a key biochemical pathway. The data are generated using a particle-based simulator that models mo","authors":["He, Xiaoyu","Ryšavý, Petr","Mareček, Jakub"],"url":"https://arxiv.org/abs/2406.15189","arxiv_id":"2406.15189","published":"2026-03-23"},{"title":"Generalized Continuous-Time Models for Nesterov's Accelerated Gradient Methods","abstract":"Recent research has indicated a substantial rise in interest in understanding Nesterov's accelerated gradient methods via their continuous-time models. However, most existing studies focus on specific classes of Nesterov's methods, which hinders the attainment of an in-depth understanding and a unified perspective. To address this deficit, we present generalized continuous-time models that cover a broad range","authors":["Park, Chanwoong","Cho, Youngchae","Yang, Insoon"],"url":"https://arxiv.org/abs/2409.00913","arxiv_id":"2409.00913","published":"2026-03-23"},{"title":"A new paradigm for global sensitivity analysis","abstract":"It is well-known that Sobol indices, which count among the most popular sensitivity indices, are based on the Sobol decomposition. Here we challenge this construction by redefining Sobol indices without the Sobol decomposition. In fact, we show that Sobol indices are a particular instance of a more general concept which we call sensitivity measures. A sensitivity measure of a system taking inputs and returning output","authors":["Mazo, Gildas"],"url":"https://arxiv.org/abs/2409.06271","arxiv_id":"2409.06271","published":"2026-03-23"},{"title":"Learning Representations for Independence Testing","abstract":"Many tools exist to detect dependence between random variables, a core question across a wide range of machine learning, statistical, and scientific endeavors. Although several statistical tests guarantee eventual detection of any dependence with enough samples, standard tests may require an exorbitant amount of samples for detecting subtle dependencies between high-dimensional random variables with complex distribut","authors":["Xu, Nathaniel","Liu, Feng","Sutherland, Danica J."],"url":"https://arxiv.org/abs/2409.06890","arxiv_id":"2409.06890","published":"2026-03-23"},{"title":"End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data","abstract":"In this paper we propose an end-to-end algorithm for indirect data-driven control for bilinear systems with stability guarantees. We consider the case where the collected i.i.d. data is affected by probabilistic noise with possibly unbounded support and leverage tools from statistical learning theory to derive finite sample identification error bounds. To this end, we solve the bilinear identification problem by solv","authors":["Chatzikiriakos, Nicolas","Strässer, Robin","Allgöwer, Frank","Iannelli, Andrea"],"url":"https://arxiv.org/abs/2409.18010","arxiv_id":"2409.18010","published":"2026-03-23"},{"title":"Simulation-based Inference with the Python Package sbijax","abstract":"Neural simulation-based inference (SBI) describes an emerging family of methods for Bayesian inference with intractable likelihood functions that use neural networks as surrogate models. Here we introduce sbijax, a Python package that implements a wide variety of state-of-the-art methods in neural simulation-based inference using a user-friendly programming interface. sbijax offers high-level functionality to quickly","authors":["Dirmeier, Simon","Mira, Antonietta","Albert, Carlo"],"url":"https://arxiv.org/abs/2409.19435","arxiv_id":"2409.19435","published":"2026-03-23"},{"title":"A Survey of AI-Generated Video Evaluation","abstract":"The growing capabilities of AI in generating video content have brought forward significant challenges in effectively evaluating these videos. Unlike static images or text, video content involves complex spatial and temporal dynamics which may require a more comprehensive and systematic evaluation of its contents in aspects like video presentation quality, semantic information delivery, alignment with human intention","authors":["Liu, Xiao","Xiang, Xinhao","Li, Zizhong","Wang, Yongheng","Li, Zhuoheng","Liu, Zhuosheng"],"url":"https://arxiv.org/abs/2410.19884","arxiv_id":"2410.19884","published":"2026-03-23"},{"title":"AtGCN: A Graph Convolutional Network For Ataxic Gait Detection","abstract":"Video-based gait analysis can be defined as the task of diagnosing pathologies, such as ataxia, using videos of patients walking in front of a camera. This paper presents a graph convolution network called AtGCN for detecting ataxic gait and identifying its severity using 2D videos. The problem is especially challenging as the deviation of an ataxic gait from a healthy gait is very subtle. The datasets for ataxic gai","authors":["Bania, Karan","Verlekar, Tanmay"],"url":"https://arxiv.org/abs/2410.22862","arxiv_id":"2410.22862","published":"2026-03-23"},{"title":"LISAA: A Framework for Large Language Model Information Security Awareness Assessment","abstract":"The popularity of large language models (LLMs) continues to grow, and LLM-based assistants have become ubiquitous. Information security awareness (ISA) is an important yet underexplored area of LLM safety. ISA encompasses LLMs' security knowledge, which has been explored in the past, as well as their attitudes and behaviors, which are crucial to LLMs' ability to understand implicit security context and reject","authors":["Cohen, Ofir","Agmon, Gil Ari","Shabtai, Asaf","Puzis, Rami"],"url":"https://arxiv.org/abs/2411.13207","arxiv_id":"2411.13207","published":"2026-03-23"},{"title":"Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem","abstract":"The quantum approximate optimization algorithm (QAOA) is a variational quantum algorithm (VQA) ideal for noisy intermediate-scale quantum (NISQ) processors, and is highly successful in solving combinatorial optimization problems (COPs). It has been observed that the optimal parameters obtained from one instance of a COP can be transferred to another instance, resulting in generally good solutions for the latter. In t","authors":["Venturelli, Francesco Aldo","Das, Sreetama","Caruso, Filippo"],"url":"https://arxiv.org/abs/2412.21071","arxiv_id":"2412.21071","published":"2026-03-23"},{"title":"Online Clustering of Data Sequences with Bandit Information","abstract":"We study the problem of online clustering of data sequences in the multi-armed bandit (MAB) framework under the fixed-confidence setting. There are $M$ arms, each providing i.i.d. samples from a parametric distribution whose parameters are unknown. The $M$ arms form $K$ clusters based on the distance between the true parameters. In the MAB setting, one arm can be sampled at each time. The objective is to estimate the","authors":["Chandran, G Dhinesh","Kota, Srinivas Reddy","Bhashyam, Srikrishna"],"url":"https://arxiv.org/abs/2501.11421","arxiv_id":"2501.11421","published":"2026-03-23"},{"title":"Communication-Efficient Stochastic Distributed Learning","abstract":"We address distributed learning problems, both nonconvex and convex, over undirected networks. In particular, we design a novel algorithm based on the distributed Alternating Direction Method of Multipliers (ADMM) to address the challenges of high communication costs, and large datasets. Our design tackles these challenges i) by enabling the agents to perform multiple local training steps between each round of commun","authors":["Ren, Xiaoxing","Bastianello, Nicola","Johansson, Karl H.","Parisini, Thomas"],"url":"https://arxiv.org/abs/2501.13516","arxiv_id":"2501.13516","published":"2026-03-23"},{"title":"GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression","abstract":"Recent progress in compressing explicit radiance field representations, particularly 3D Gaussian Splatting, has substantially reduced memory consumption while improving real-time rendering performance. However, existing approaches remain inherently single-rate: each compression level requires a separately optimized model, yielding a set of fixed operating points rather than a truly scalable representation. This limit","authors":["Di Sario, Francesco","Renzulli, Riccardo","Grangetto, Marco","Sugimoto, Akihiro","Tartaglione, Enzo"],"url":"https://arxiv.org/abs/2501.13558","arxiv_id":"2501.13558","published":"2026-03-23"},{"title":"On the Theory of Bias Tuning in Event Cameras","abstract":"This paper lays the foundation of a theory for bias tuning in neuromorphic cameras, a novel sensing technology also known as "event cameras". We begin by formulating the high-level effect of the sensitivity biases on the camera's event rate in mathematical terms. We then show that, as a corollary of the Poincare-Miranda theorem, the commonly used tuning principles of rate budgeting and polarity balancing ","authors":["Ben-Ezra, David El-Chai","Brisk, Daniel","Tal, Adar"],"url":"https://arxiv.org/abs/2501.18788","arxiv_id":"2501.18788","published":"2026-03-23"},{"title":"Flow-based Conformal Prediction for Multi-dimensional Time Series","abstract":"Time series prediction underpins a broad range of downstream tasks across many scientific domains. Recent advances and increasing adoption of black-box machine learning models for time series prediction highlight the critical need for uncertainty quantification. While conformal prediction has gained attention as a reliable uncertainty quantification method, conformal prediction for time series faces two key challenge","authors":["Lee, Junghwan","Xu, Chen","Xie, Yao"],"url":"https://arxiv.org/abs/2502.05709","arxiv_id":"2502.05709","published":"2026-03-23"}],"history":{"events":[{"year":2025,"text":"Gaza war: Israel Defense Forces killed 15 aid workers in the Rafah paramedic massacre.","url":"https://en.wikipedia.org/wiki/Gaza_war"},{"year":2021,"text":"A container ship ran aground and obstructed the Suez Canal for six days.","url":"https://en.wikipedia.org/wiki/2021_Suez_Canal_obstruction"},{"year":2005,"text":"A fire and explosion at an oil refinery in Texas City, the third-largest in the United States, killed 15 workers.","url":"https://en.wikipedia.org/wiki/Texas_City_refinery_explosion"},{"year":2001,"text":"The Russian space agency deorbited the space station Mir, causing it to reenter the Earth's atmosphere and break up over the Pacific Ocean.","url":"https://en.wikipedia.org/wiki/Roscosmos"},{"year":1996,"text":"Lee Teng-hui was elected President of the Republic of China in the first direct presidential election in Taiwan.","url":"https://en.wikipedia.org/wiki/Lee_Teng-hui"},{"year":1994,"text":"Aeroflot Flight 593 crashed into a hillside in Russia's Kemerovo Oblast, killing all 75 people on board, after the pilot's 15-year-old son unknowingly disabled the autopilot while seated at the controls.","url":"https://en.wikipedia.org/wiki/Aeroflot_Flight_593"},{"year":1993,"text":"The demolition of Kowloon Walled City, a densely crowded slum in Hong Kong, began.","url":"https://en.wikipedia.org/wiki/Kowloon_Walled_City"},{"year":1991,"text":"The Sierra Leone Civil War began with the invasion of the Revolutionary United Front, in an attempt to overthrow President Joseph Saidu Momoh.","url":"https://en.wikipedia.org/wiki/Sierra_Leone_Civil_War"},{"year":1989,"text":"Two researchers announced the discovery of cold fusion, a claim that was later discredited.","url":"https://en.wikipedia.org/wiki/Cold_fusion"},{"year":1988,"text":"Angolan and Cuban forces defeated South Africa in the Battle of Cuito Cuanavale.","url":"https://en.wikipedia.org/wiki/Battle_of_Cuito_Cuanavale"},{"year":1982,"text":"Guatemala's government, headed by Fernando Romeo Lucas García was overthrown in a military coup by right-wing General Efraín Ríos Montt.","url":"https://en.wikipedia.org/wiki/Fernando_Romeo_Lucas_Garc%C3%ADa"},{"year":1977,"text":"British journalist David Frost began a series of interviews with former U.S. president Richard Nixon, starting with the Watergate scandal.","url":"https://en.wikipedia.org/wiki/David_Frost"},{"year":1933,"text":"The Nazi Party took the first step in the Gleichschaltung process by having the Enabling Act passed, giving the government the right to make laws without the involvement of the Reichstag.","url":"https://en.wikipedia.org/wiki/Nazi_Party"},{"year":1931,"text":"Bhagat Singh, one of the most influential revolutionaries of the Indian independence movement, and two others were executed by the British authorities for their murder of a police officer.","url":"https://en.wikipedia.org/wiki/Bhagat_Singh"},{"year":1919,"text":"Benito Mussolini and his supporters founded the Fasci Italiani di Combattimento, the predecessor of the National Fascist Party.","url":"https://en.wikipedia.org/wiki/Benito_Mussolini"},{"year":1908,"text":"American diplomat Durham Stevens, an employee of Japan's Ministry of Foreign Affairs, was fatally shot in San Francisco by two Korean immigrants unhappy with his support of increased Japanese presence in Korea.","url":"https://en.wikipedia.org/wiki/Durham_Stevens"},{"year":1905,"text":"About 1,500 Cretans, led by Eleftherios Venizelos, met at the village of Theriso to call for the island's unification with Greece, beginning the Theriso revolt.","url":"https://en.wikipedia.org/wiki/Crete"},{"year":1889,"text":"Mirza Ghulam Ahmad founded the Ahmadiyya Islamic religious movement in British India.","url":"https://en.wikipedia.org/wiki/Mirza_Ghulam_Ahmad"}],"births":[{"year":2001,"text":"Anna Hall, American world champion heptathlete","url":"https://en.wikipedia.org/wiki/Anna_Hall_(heptathlete)"},{"year":1997,"text":"Ben Manenti, Australian cricketer","url":"https://en.wikipedia.org/wiki/Ben_Manenti"},{"year":1996,"text":"Alexander Albon, Thai-British race car driver","url":"https://en.wikipedia.org/wiki/Alex_Albon"},{"year":1996,"text":"Joel Kiviranta, Finnish ice hockey player","url":"https://en.wikipedia.org/wiki/Joel_Kiviranta"},{"year":1995,"text":"Kevin Kauber, Estonian footballer","url":"https://en.wikipedia.org/wiki/Kevin_Kauber"},{"year":1995,"text":"Jan Lisiecki, Canadian pianist","url":"https://en.wikipedia.org/wiki/Jan_Lisiecki"},{"year":1995,"text":"Victoria Pedretti, American actress","url":"https://en.wikipedia.org/wiki/Victoria_Pedretti"},{"year":1995,"text":"Ozan Tufan, Turkish footballer","url":"https://en.wikipedia.org/wiki/Ozan_Tufan"}],"deaths":[{"year":2026,"text":"Valerie Perrine, American actress (born 1943)","url":"https://en.wikipedia.org/wiki/Valerie_Perrine"},{"year":2026,"text":"Chip Taylor, American singer and songwriter (born 1940)","url":"https://en.wikipedia.org/wiki/Chip_Taylor"},{"year":2025,"text":"Mia Love, American politician (born 1975)","url":"https://en.wikipedia.org/wiki/Mia_Love"},{"year":2022,"text":"Madeleine Albright, Czechoslovak-American diplomat, 64th United States Secretary of State (born 1937)","url":"https://en.wikipedia.org/wiki/Madeleine_Albright"},{"year":2021,"text":"George Segal, American actor (born 1934)","url":"https://en.wikipedia.org/wiki/George_Segal"},{"year":2021,"text":"Julie Pomagalski, French snowboarder (born 1980)","url":"https://en.wikipedia.org/wiki/Julie_Pomagalski"},{"year":2017,"text":"Miroslava Breach, Mexican investigative journalist (born 1962)","url":"https://en.wikipedia.org/wiki/Miroslava_Breach"},{"year":2016,"text":"Joe Garagiola, American baseball player and sportscaster (born 1926)","url":"https://en.wikipedia.org/wiki/Joe_Garagiola"}]},"census":null,"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."}