{"date":"2026-03-03","schema_version":1,"captured_at":"2026-08-25T23:30:31.627Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":12},"attention":[{"title":"Ali Khamenei","views":1070718,"rank":4,"extract":"Ali Hosseini Khamenei was an Iranian politician and Shia cleric who served as the second supreme leader of Iran from 1989 until his assassination in 2026. 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The strikes began on 28 February 2026, when Israel and the United States launched attacks on targets across Iran, codenamed Operation Roaring Lion in Israel and Operation Epic ","url":"https://en.wikipedia.org/wiki/List_of_attacks_during_the_2026_Iran_war","thumb":null},{"title":"Iran","views":410191,"rank":7,"extract":"Iran, officially the Islamic Republic of Iran, and historically known as Persia, is a country in West Asia. It borders Iraq to the west, Turkey, Azerbaijan, and Armenia to the northwest, the Caspian Sea to the north, Turkmenistan to the northeast, Afghanistan ","url":"https://en.wikipedia.org/wiki/Iran","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/b/be/Flag_of_Iran_%28official%29.svg/330px-Flag_of_Iran_%28official%29.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Iran war","views":417653,"rank":8,"extract":"Since 28 February 2026, the United States and Israel have been at war with Iran and its regional allies. Hostilities broke out after US–Israeli airstrikes killed several Iranian officials, including Supreme Leader Ali Khamenei. 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suffering much from extreme foreground-background class imbalance issue due to the large number of anchors. This paper alleviates this issue by proposing a novel framework to replace the classification task in one-stage detectors with a ranking task, and adopting the Average-Precision loss (A","authors":["Chen, Kean","Li, Jianguo","Lin, Weiyao","See, John","Wang, Ji","Duan, Lingyu"],"url":"https://arxiv.org/abs/1904.06373","arxiv_id":"1904.06373","published":"2026-03-03"},{"title":"A Survey Mobility Management in 5G Networks","abstract":"For the next wireless communication systems, the major challenges are to provide ubiquitous wireless access abilities and maintain the quality of service and seamless mobility management for mobile communication devices in heterogeneous networks. Due to the rapid growth of mobile users, this demand becomes more challenging where the users always require seamless connectivity while they move to other places at any tim","authors":["Kasim, A. Nezih"],"url":"https://arxiv.org/abs/2006.15598","arxiv_id":"2006.15598","published":"2026-03-03"},{"title":"AP-Loss for Accurate One-Stage Object Detection","abstract":"One-stage object detectors are trained by optimizing classification-loss and localization-loss simultaneously, with the former suffering much from extreme foreground-background class imbalance issue due to the large number of anchors. This paper alleviates this issue by proposing a novel framework to replace the classification task in one-stage detectors with a ranking task, and adopting the Average-Precision loss (A","authors":["Chen, Kean","Lin, Weiyao","Li, Jianguo","See, John","Wang, Ji","Zou, Junni"],"url":"https://arxiv.org/abs/2008.07294","arxiv_id":"2008.07294","published":"2026-03-03"},{"title":"OmniTracker: Unifying Object Tracking by Tracking-with-Detection","abstract":"Visual Object Tracking (VOT) aims to estimate the positions of target objects in a video sequence, which is an important vision task with various real-world applications. Depending on whether the initial states of target objects are specified by provided annotations in the first frame or the categories, VOT could be classified as instance tracking (e.g., SOT and VOS) and category tracking (e.g., MOT, MOTS, and VIS) t","authors":["Wang, Junke","Wu, Zuxuan","Chen, Dongdong","Luo, Chong","Dai, Xiyang","Yuan, Lu"],"url":"https://arxiv.org/abs/2303.12079","arxiv_id":"2303.12079","published":"2026-03-03"},{"title":"FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead","abstract":"We present FengWu, an advanced data-driven global medium-range weather forecast system based on Artificial Intelligence (AI). Different from existing data-driven weather forecast methods, FengWu solves the medium-range forecast problem from a multi-modal and multi-task perspective. Specifically, a deep learning architecture equipped with model-specific encoder-decoders and cross-modal fusion Transformer is elaboratel","authors":["Chen, Kang","Han, Tao","Gong, Junchao","Bai, Lei","Ling, Fenghua","Luo, Jing-Jia"],"url":"https://arxiv.org/abs/2304.02948","arxiv_id":"2304.02948","published":"2026-03-03"},{"title":"RFAConv: Receptive-Field Attention Convolution for Improving Convolutional Neural Networks","abstract":"In the realm of deep learning, spatial attention mechanisms have emerged as a vital method for enhancing the performance of convolutional neural networks. However, these mechanisms possess inherent limitations that cannot be overlooked. This work delves into the mechanism of spatial attention and reveals a new insight. It is that the mechanism essentially addresses the issue of convolutional parameter sharing. By add","authors":["Zhang, Xin","Liu, Chen","Yang, Degang","Song, Tingting","Ye, Yichen","Li, Ke"],"url":"https://arxiv.org/abs/2304.03198","arxiv_id":"2304.03198","published":"2026-03-03"},{"title":"Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances","abstract":"In recent years, Variational Quantum Algorithms (VQAs) have emerged as a promising approach for solving optimization problems on quantum computers in the NISQ era. However, one limitation of VQAs is their reliance on fixed-structure circuits, which may not be taylored for specific problems or hardware configurations. A leading strategy to address this issue are Adaptative VQAs, which dynamically modify the circuit st","authors":["Turati, Gloria","Dacrema, Maurizio Ferrari","Cremonesi, Paolo"],"url":"https://arxiv.org/abs/2308.01789","arxiv_id":"2308.01789","published":"2026-03-03"},{"title":"Impression-Aware Recommender Systems","abstract":"Novel data sources bring new opportunities to improve the quality of recommender systems and serve as a catalyst for the creation of new paradigms on personalized recommendations. Impressions are a novel data source containing the items shown to users on their screens. Past research focused on providing personalized recommendations using interactions, and occasionally using impressions when such a data source was ava","authors":["Maurera, Fernando B. Pérez","Dacrema, Maurizio Ferrari","Castells, Pablo","Cremonesi, Paolo"],"url":"https://arxiv.org/abs/2308.07857","arxiv_id":"2308.07857","published":"2026-03-03"},{"title":"Literature Based Discovery (LBD): Towards Hypothesis Generation and Knowledge Discovery in Biomedical Text Mining","abstract":"Biomedical knowledge is growing in an astounding pace with a majority of this knowledge is represented as scientific publications. Text mining tools and methods represents automatic approaches for extracting hidden patterns and trends from this semi structured and unstructured data. In Biomedical Text mining, Literature Based Discovery (LBD) is the process of automatically discovering novel associations between medic","authors":["Bhasuran, Balu","Murugesan, Gurusamy","Natarajan, Jeyakumar"],"url":"https://arxiv.org/abs/2310.03766","arxiv_id":"2310.03766","published":"2026-03-03"},{"title":"Factuality Challenges in the Era of Large Language Models","abstract":"The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incredibly useful, natural-sounding tools mark significant advances in natural language generation, yet they exhibit a propensity to generate false, erroneous, or misleading content -- commonly referred to as "hallucinations.&#34","authors":["Augenstein, Isabelle","Baldwin, Timothy","Cha, Meeyoung","Chakraborty, Tanmoy","Ciampaglia, Giovanni Luca","Corney, David"],"url":"https://arxiv.org/abs/2310.05189","arxiv_id":"2310.05189","published":"2026-03-03"},{"title":"Velocity Disambiguation for Video Frame Interpolation","abstract":"Existing video frame interpolation (VFI) methods blindly predict where each object is at a specific timestep t ("time indexing"), which struggles to predict precise object movements. Given two images of a baseball, there are infinitely many possible trajectories: accelerating or decelerating, straight or curved. This often results in blurry frames as the method averages out these possibilities. Instead of for","authors":["Zhong, Zhihang","Zhang, Yiming","Wang, Wei","Sun, Xiao","Qiao, Yu","Krishnan, Gurunandan"],"url":"https://arxiv.org/abs/2311.08007","arxiv_id":"2311.08007","published":"2026-03-03"},{"title":"Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning","abstract":"Directed Acyclic Graphs (DAGs) are a standard tool in causal modeling, but their suitability for capturing the complexity of large-scale multimodal data is questionable. In practice, real-world multimodal datasets are often collected from heterogeneous generative processes that do not conform to a single DAG. Instead, they may involve multiple, and even opposing, DAG structures with inverse causal directions. To addr","authors":["Liu, Yuhang","Zhang, Zhen","Gong, Dong","Gao, Erdun","Huang, Biwei","Gong, Mingming"],"url":"https://arxiv.org/abs/2402.06223","arxiv_id":"2402.06223","published":"2026-03-03"},{"title":"Towards Precision Cardiovascular Analysis in Zebrafish: The ZACAF Paradigm","abstract":"Quantifying cardiovascular parameters like ejection fraction in zebrafish as a host of biological investigations has been extensively studied. Since current manual monitoring techniques are time-consuming and fallible, several image processing frameworks have been proposed to automate the process. Most of these works rely on supervised deep-learning architectures. However, supervised methods tend to be overfitted on ","authors":["Naderi, Amir Mohammad","Casey, Jennifer G.","Huang, Mao-Hsiang","Victorio, Rachelle","Chiang, David Y.","MacRae, Calum"],"url":"https://arxiv.org/abs/2402.09658","arxiv_id":"2402.09658","published":"2026-03-03"},{"title":"FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization","abstract":"Zero-shot anomaly detection (ZSAD) methods entail detecting anomalies directly without access to any known normal or abnormal samples within the target item categories. Existing approaches typically rely on the robust generalization capabilities of multimodal pretrained models, computing similarities between manually crafted textual features representing "normal" or "abnormal" semantics and image feat","authors":["Gu, Zhaopeng","Zhu, Bingke","Zhu, Guibo","Chen, Yingying","Li, Hao","Tang, Ming"],"url":"https://arxiv.org/abs/2404.13671","arxiv_id":"2404.13671","published":"2026-03-03"},{"title":"Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization","abstract":"Can we modify the training data distribution to encourage the underlying optimization method toward finding solutions with superior generalization performance on in-distribution data? In this work, we approach this question for the first time by comparing the inductive bias of gradient descent (GD) with that of sharpness-aware minimization (SAM). By studying a two-layer CNN, we rigorously prove that SAM learns differ","authors":["Nguyen, Dang","Haddad, Paymon","Gan, Eric","Mirzasoleiman, Baharan"],"url":"https://arxiv.org/abs/2404.17768","arxiv_id":"2404.17768","published":"2026-03-03"},{"title":"VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data","abstract":"Effective clustering of biomedical data is crucial in precision medicine, enabling accurate stratifiction of patients or samples. However, the growth in availability of high-dimensional categorical data, including `omics data, necessitates computationally efficient clustering algorithms. We present VICatMix, a variational Bayesian finite mixture model designed for the clustering of categorical data. The use of variat","authors":["Rao, Jackie","Kirk, Paul D. W."],"url":"https://arxiv.org/abs/2406.16227","arxiv_id":"2406.16227","published":"2026-03-03"},{"title":"Towards Camera Open-set 3D Object Detection for Autonomous Driving Scenarios","abstract":"Conventional camera-based 3D object detectors in autonomous driving are limited to recognizing a predefined set of objects, which poses a safety risk when encountering novel or unseen objects in real-world scenarios. To address this limitation, we present OS-Det3D, a two-stage training framework designed for camera-based open-set 3D object detection. In the first stage, our proposed 3D object discovery network (ODN3D","authors":["He, Zhuolin","Li, Xinrun","Tang, Jiacheng","Qiu, Shoumeng","Wang, Wenfu","Xue, Xiangyang"],"url":"https://arxiv.org/abs/2406.17297","arxiv_id":"2406.17297","published":"2026-03-03"},{"title":"PO-GUISE+: Pose and object guided transformer token selection for efficient driver action recognition","abstract":"We address the task of identifying distracted driving by analyzing in-car videos using efficient transformers. Although transformer models have achieved outstanding performance in human action recognition tasks, their high computational costs limit their application onboard a vehicle. We introduce POGUISE+, a multi-task video transformer that, given an input clip, predicts the distracted driving action, the driver&#3","authors":["Pizarro, Ricardo","Valle, Roberto","Barea, Rafael","Buenaposada, Jose M.","Baumela, Luis","Bergasa, Luis Miguel"],"url":"https://arxiv.org/abs/2407.13750","arxiv_id":"2407.13750","published":"2026-03-03"},{"title":"MSSPlace: Multi-Sensor Place Recognition with Visual and Text Semantics","abstract":"Place recognition is a challenging task in computer vision, crucial for enabling autonomous vehicles and robots to navigate previously visited environments. While significant progress has been made in learnable multimodal methods that combine onboard camera images and LiDAR point clouds, the full potential of these methods remains largely unexplored in localization applications. In this paper, we study the impact of ","authors":["Melekhin, Alexander","Yudin, Dmitry","Petryashin, Ilia","Bezuglyj, Vitaly"],"url":"https://arxiv.org/abs/2407.15663","arxiv_id":"2407.15663","published":"2026-03-03"},{"title":"A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals' Navigation","abstract":"This paper introduces a dataset for improving real-time object recognition systems to aid blind and low-vision (BLV) individuals in navigation tasks. The dataset comprises 21 videos of BLV individuals navigating outdoor spaces, and a taxonomy of 90 objects crucial for BLV navigation, refined through a focus group study. We also provide object labeling for the 90 objects across 31 video segments created from the 21 vi","authors":["Islam, Md Touhidul","Kabir, Imran","Pearce, Elena Ariel","Reza, Md Alimoor","Billah, Syed Masum"],"url":"https://arxiv.org/abs/2407.16777","arxiv_id":"2407.16777","published":"2026-03-03"},{"title":"Analyzing the Effectiveness of Quantum Annealing with Meta-Learning","abstract":"The field of Quantum Computing has gathered significant popularity in recent years and a large number of papers have studied its effectiveness in tackling many tasks. We focus in particular on Quantum Annealing (QA), a meta-heuristic solver for Quadratic Unconstrained Binary Optimization (QUBO) problems. It is known that the effectiveness of QA is dependent on the task itself, as is the case for classical solvers, bu","authors":["Pellini, Riccardo","Dacrema, Maurizio Ferrari"],"url":"https://arxiv.org/abs/2408.00570","arxiv_id":"2408.00570","published":"2026-03-03"},{"title":"Electric Vehicle User Charging Behavior Analysis Integrating Psychological and Environmental Factors: A Statistical-Driven LLM based Agent Approach","abstract":"With the growing adoption of electric vehicles (EVs), understanding user charging behavior has become critical for grid stability and transportation planning. This study investigates the behavioral heterogeneity of EV taxi drivers by analyzing the interaction between psychological traits and situational triggers within dynamic travel contexts. Leveraging large language models (LLMs) as a core simulation tool, a novel","authors":["Zhang, Chuanlin","Feng, Junkang","Cui, Chenggang","Lin, Pengfeng","Chen, Hui","Xu, Yan"],"url":"https://arxiv.org/abs/2408.05233","arxiv_id":"2408.05233","published":"2026-03-03"},{"title":"Large Language Model Agent in Financial Trading: A Survey","abstract":"Trading is a highly competitive task that requires a combination of strategy, knowledge, and psychological fortitude. With the recent success of large language models(LLMs), it is appealing to apply the emerging intelligence of LLM agents in this competitive arena and understanding if they can outperform professional traders. In this survey, we provide a comprehensive review of the current research on using LLMs as a","authors":["Ding, Han","Li, Yinheng","Wang, Junhao","Chen, Hang","Guo, Doudou","Zhang, Yunbai"],"url":"https://arxiv.org/abs/2408.06361","arxiv_id":"2408.06361","published":"2026-03-03"},{"title":"Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey","abstract":"The rapid development of artificial intelligence has constantly reshaped the field of intelligent healthcare and medicine. As a vital technology, multimodal learning has increasingly garnered interest due to data complementarity, comprehensive modeling form, and great application potential. Currently, numerous researchers are dedicating their attention to this field, conducting extensive studies and constructing abun","authors":["Lin, Qika","Zhu, Yifan","Mei, Xin","Huang, Ling","Ma, Jingying","He, Kai"],"url":"https://arxiv.org/abs/2408.12880","arxiv_id":"2408.12880","published":"2026-03-03"},{"title":"Reinforcement Learning for Variational Quantum Circuits Design","abstract":"Variational Quantum Algorithms have emerged as promising tools for solving optimization problems on quantum computers. These algorithms leverage a parametric quantum circuit called ansatz, where its parameters are adjusted by a classical optimizer with the goal of optimizing a certain cost function. However, a significant challenge lies in designing effective circuits for addressing specific problems. In this study, ","authors":["Foderà, Simone","Turati, Gloria","Nembrini, Riccardo","Dacrema, Maurizio Ferrari","Cremonesi, Paolo"],"url":"https://arxiv.org/abs/2409.05475","arxiv_id":"2409.05475","published":"2026-03-03"}],"history":{"events":[{"year":2012,"text":"Two passenger trains collided near Szczekociny, Poland, resulting in 16 deaths and 58 injuries.","url":"https://en.wikipedia.org/wiki/Szczekociny_rail_crash"},{"year":1986,"text":"The American heavy metal band Metallica (pictured) released their third studio album, Master of Puppets, considered one of the greatest in the genre's history.","url":"https://en.wikipedia.org/wiki/Metallica"},{"year":1972,"text":"The British rock band Jethro Tull released Thick as a Brick, a parody concept album allegedly adapted from an eight-year-old boy's epic poem.","url":"https://en.wikipedia.org/wiki/Jethro_Tull_(band)"},{"year":1945,"text":"A Polish Home Army unit massacred at least 150 Ukrainian civilians in Pawłokoma, Poland.","url":"https://en.wikipedia.org/wiki/Home_Army"},{"year":1933,"text":"The first Nazi concentration camp was opened in Nohra to reduce overcrowding in prisons from the arrest of German Communists.","url":"https://en.wikipedia.org/wiki/Nohra_concentration_camp"},{"year":1913,"text":"Thousands of women marched in Washington, D.C., \"in a spirit of protest\" against the exclusion of women from American society.","url":"https://en.wikipedia.org/wiki/Woman_Suffrage_Procession"},{"year":1891,"text":"Shoshone National Forest in Wyoming was established as the first national forest in the United States.","url":"https://en.wikipedia.org/wiki/Shoshone_National_Forest"},{"year":1875,"text":"Bizet's Carmen premiered at the Opéra-Comique in Paris, with mezzo-soprano Célestine Galli-Marié in the title role (pictured).","url":"https://en.wikipedia.org/wiki/Georges_Bizet"},{"year":1875,"text":"The first indoor game of ice hockey was played at the Victoria Skating Rink in Montreal by James Creighton and students of McGill University.","url":"https://en.wikipedia.org/wiki/First_indoor_ice_hockey_game"},{"year":1820,"text":"The U.S. Congress passed the Missouri Compromise, which balanced the admission of Missouri as a slave state with that of Maine as a free state.","url":"https://en.wikipedia.org/wiki/United_States_Congress"},{"year":1776,"text":"American Revolutionary War: Samuel Nicholas and the Continental Marines successfully landed on New Providence in the Bahamas and began a raid of Nassau, capturing the port the next day.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1284,"text":"The Statute of Rhuddlan was enacted, introducing English common law to the Principality of Wales.","url":"https://en.wikipedia.org/wiki/Statute_of_Rhuddlan"}],"births":[{"year":2001,"text":"Jvke, American singer-songwriter","url":"https://en.wikipedia.org/wiki/Jvke"},{"year":2000,"text":"Jevon Holland, Canadian-American football player","url":"https://en.wikipedia.org/wiki/Jevon_Holland"},{"year":1999,"text":"Corey Kispert, American basketball player","url":"https://en.wikipedia.org/wiki/Corey_Kispert"},{"year":1998,"text":"Jayson Tatum, American basketball player","url":"https://en.wikipedia.org/wiki/Jayson_Tatum"},{"year":1997,"text":"Camila Cabello, Cuban-American singer-songwriter and actress","url":"https://en.wikipedia.org/wiki/Camila_Cabello"},{"year":1997,"text":"David Neres, Brazilian footballer","url":"https://en.wikipedia.org/wiki/David_Neres"},{"year":1996,"text":"Cameron Johnson, American basketball player","url":"https://en.wikipedia.org/wiki/Cameron_Johnson"},{"year":1996,"text":"Andile Phehlukwayo, South African cricketer","url":"https://en.wikipedia.org/wiki/Andile_Phehlukwayo"}],"deaths":[{"year":2023,"text":"Kenzaburō Ōe, Japanese novelist, 1994 Nobel Prize laureate in Literature (born 1935)","url":"https://en.wikipedia.org/wiki/Kenzabur%C5%8D_%C5%8Ce"},{"year":2023,"text":"Tom Sizemore, American actor (born 1961)","url":"https://en.wikipedia.org/wiki/Tom_Sizemore"},{"year":2020,"text":"Charles J. Urstadt, American real estate executive and investor (born 1928)","url":"https://en.wikipedia.org/wiki/Charles_J._Urstadt"},{"year":2019,"text":"Peter Hurford OBE, British organist and composer (born 1930)","url":"https://en.wikipedia.org/wiki/Peter_Hurford"},{"year":2018,"text":"Roger Bannister, English middle-distance athlete, first man to run a four-minute mile (born 1929)","url":"https://en.wikipedia.org/wiki/Roger_Bannister"},{"year":2018,"text":"Mal Bryce, Australian politician (born 1943)","url":"https://en.wikipedia.org/wiki/Mal_Bryce"},{"year":2018,"text":"Vanessa Goodwin, Australian politician (born 1969)","url":"https://en.wikipedia.org/wiki/Vanessa_Goodwin"},{"year":2018,"text":"David Ogden Stiers, American actor, voice actor and musician (born 1942)","url":"https://en.wikipedia.org/wiki/David_Ogden_Stiers"}]},"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."}