{"date":"2025-12-23","schema_version":1,"captured_at":"2026-08-25T23:05:52.887Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":13},"attention":[{"title":"James Ransone","views":954387,"rank":3,"extract":"James Finley Ransone III was an American actor. Known for his roles in horror and drama, he played Ziggy Sobotka in the second season of the drama series The Wire, Cpl. Josh Ray Person in the war drama miniseries Generation Kill (2008), Deputy \"So-and-So\" in t","url":"https://en.wikipedia.org/wiki/James_Ransone","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/b/bb/James_Ransone_Sinister2.png/330px-James_Ransone_Sinister2.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Chris Rea","views":677912,"rank":5,"extract":"Christopher Anton Rea was an English-Irish rock and blues singer-songwriter, guitarist and record producer. 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Review","points":192,"comments":207,"url":"https://www.eff.org/deeplinks/2025/12/ai-police-reports-year-review","discussion":"https://news.ycombinator.com/item?id=46367195"}],"research":[{"title":"Approximation Theory of Tree Tensor Networks: Tensorized Multivariate Functions","abstract":"We study the approximation of multivariate functions with tensor networks (TNs), providing some answers to the following two questions: ``what are the approximation capabilities of TNs for functions from classical smoothness classes?'' and ``what are the properties of the class of functions that can be approximated with TNs with a certain performance?'' As a partial answer to the former, we show that ","authors":["Ali, Mazen","Nouy, Anthony"],"url":"https://arxiv.org/abs/2101.11932","arxiv_id":"2101.11932","published":"2025-12-23"},{"title":"A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System","abstract":"The dynamic hand gesture recognition task has seen studies on various unimodal and multimodal methods. Previously, researchers have explored depth and 2D-skeleton-based multimodal fusion CRNNs (Convolutional Recurrent Neural Networks) but have had limitations in getting expected recognition results. In this paper, we revisit this approach to hand gesture recognition and suggest several improvements. We observe that r","authors":["Mahmud, Hasan","Morshed, Mashrur M.","Hasan, Md. Kamrul"],"url":"https://arxiv.org/abs/2107.02543","arxiv_id":"2107.02543","published":"2025-12-23"},{"title":"Rethinking Open-Set Object Detection: Issues, a New Formulation, and Taxonomy","abstract":"Open-set object detection (OSOD), a task involving the detection of unknown objects while accurately detecting known objects, has recently gained attention. However, we identify a fundamental issue with the problem formulation employed in current OSOD studies. Inherent to object detection is knowing "what to detect," which contradicts the idea of identifying "unknown" objects. This sets OSOD apart fro","authors":["Hosoya, Yusuke","Suganuma, Masanori","Okatani, Takayuki"],"url":"https://arxiv.org/abs/2207.09775","arxiv_id":"2207.09775","published":"2025-12-23"},{"title":"Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning","abstract":"Off-policy learning from multistep returns is crucial for sample-efficient reinforcement learning, but counteracting off-policy bias without exacerbating variance is challenging. Classically, off-policy bias is corrected in a per-decision manner: past temporal-difference errors are re-weighted by the instantaneous Importance Sampling (IS) ratio after each action via eligibility traces. Many off-policy algorithms rely","authors":["Daley, Brett","White, Martha","Amato, Christopher","Machado, Marlos C."],"url":"https://arxiv.org/abs/2301.11321","arxiv_id":"2301.11321","published":"2025-12-23"},{"title":"CodeTF: One-stop Transformer Library for State-of-the-art Code LLMs","abstract":"Code intelligence plays a key role in transforming modern software engineering. Recently, deep learning-based models, especially Transformer-based large language models (LLMs), have demonstrated remarkable potential in tackling these tasks by leveraging massive open-source code data and programming language features. However, the development and deployment of such models often require expertise in both machine learni","authors":["Bui, Nghi D. Q.","Le, Hung","Wang, Yue","Li, Junnan","Gotmare, Akhilesh Deepak","Hoi, Steven C. H."],"url":"https://arxiv.org/abs/2306.00029","arxiv_id":"2306.00029","published":"2025-12-23"},{"title":"Networked Communication for Decentralised Agents in Mean-Field Games","abstract":"Methods like multi-agent reinforcement learning struggle to scale with growing population size. Mean-field games (MFGs) are a game-theoretic approach that can circumvent this by finding a solution for an abstract infinite population, which can then be used as an approximate solution for the $N$-agent problem. However, classical mean-field algorithms usually only work under restrictive conditions. We take steps to add","authors":["Benjamin, Patrick","Abate, Alessandro"],"url":"https://arxiv.org/abs/2306.02766","arxiv_id":"2306.02766","published":"2025-12-23"},{"title":"Anti-Correlated Noise in Epoch-Based Stochastic Gradient Descent: Implications for Weight Variances in Flat Directions","abstract":"Stochastic Gradient Descent (SGD) has become a cornerstone of neural network optimization due to its computational efficiency and generalization capabilities. However, the gradient noise introduced by SGD is often assumed to be uncorrelated over time, despite the common practice of epoch-based training where data is sampled without replacement. In this work, we challenge this assumption and investigate the effects of","authors":["Kühn, Marcel","Rosenow, Bernd"],"url":"https://arxiv.org/abs/2306.05300","arxiv_id":"2306.05300","published":"2025-12-23"},{"title":"Normalized mutual information is a biased measure for classification and community detection","abstract":"Normalized mutual information is widely used as a similarity measure for evaluating the performance of clustering and classification algorithms. In this paper, we argue that results returned by the normalized mutual information are biased for two reasons: first, because they ignore the information content of the contingency table and, second, because their symmetric normalization introduces spurious dependence on alg","authors":["Jerdee, Maximilian","Kirkley, Alec","Newman, M. E. J."],"url":"https://arxiv.org/abs/2307.01282","arxiv_id":"2307.01282","published":"2025-12-23"},{"title":"HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting","abstract":"Traffic forecasting, which aims to predict traffic conditions based on historical observations, has been an enduring research topic and is widely recognized as an essential component of intelligent transportation. Recent proposals on Spatial-Temporal Graph Neural Networks~(STGNNs) have made significant progress by combining sequential models with graph convolution networks. However, due to high complexity issues, STG","authors":["Shao, Zezhi","Wang, Fei","Sun, Tao","Yu, Chengqing","Fang, Yuchen","Jin, Guangyin"],"url":"https://arxiv.org/abs/2307.14596","arxiv_id":"2307.14596","published":"2025-12-23"},{"title":"Benchmarking the Sim-to-Real Gap in Cloth Manipulation","abstract":"Realistic physics engines play a crucial role for learning to manipulate deformable objects such as garments in simulation. By doing so, researchers can circumvent challenges such as sensing the deformation of the object in the realworld. In spite of the extensive use of simulations for this task, few works have evaluated the reality gap between deformable object simulators and real-world data. We present a benchmark","authors":["Blanco-Mulero, David","Barbany, Oriol","Alcan, Gokhan","Colomé, Adrià","Torras, Carme","Kyrki, Ville"],"url":"https://arxiv.org/abs/2310.09543","arxiv_id":"2310.09543","published":"2025-12-23"},{"title":"Certified Defense on the Fairness of Graph Neural Networks","abstract":"Graph Neural Networks (GNNs) have emerged as a prominent graph learning model in various graph-based tasks over the years. Nevertheless, due to the vulnerabilities of GNNs, it has been empirically shown that malicious attackers could easily corrupt the fairness level of their predictions by adding perturbations to the input graph data. In this paper, we take crucial steps to study a novel problem of certifiable defen","authors":["Dong, Yushun","Zhang, Binchi","Tong, Hanghang","Li, Jundong"],"url":"https://arxiv.org/abs/2311.02757","arxiv_id":"2311.02757","published":"2025-12-23"},{"title":"Training robust and generalizable quantum models","abstract":"Adversarial robustness and generalization are both crucial properties of reliable machine learning models. In this paper, we study these properties in the context of quantum machine learning based on Lipschitz bounds. We derive parameter-dependent Lipschitz bounds for quantum models with trainable encoding, showing that the norm of the data encoding has a crucial impact on the robustness against data perturbations. F","authors":["Berberich, Julian","Fink, Daniel","Pranjić, Daniel","Tutschku, Christian","Holm, Christian"],"url":"https://arxiv.org/abs/2311.11871","arxiv_id":"2311.11871","published":"2025-12-23"},{"title":"Functional SDE approximation inspired by a deep operator network architecture","abstract":"A novel approach to approximate solutions of Stochastic Differential Equations (SDEs) by Deep Neural Networks is derived and analysed. The architecture is inspired by the notion of Deep Operator Networks (DeepONets), which is based on operator learning in function spaces in terms of a reduced basis also represented in the network. In our setting, we make use of a polynomial chaos expansion (PCE) of stochastic process","authors":["Eigel, Martin","Miranda, Charles"],"url":"https://arxiv.org/abs/2402.03028","arxiv_id":"2402.03028","published":"2025-12-23"},{"title":"SafEDMD: A Koopman-based data-driven controller design framework for nonlinear dynamical systems","abstract":"The Koopman operator serves as the theoretical backbone for machine learning of dynamical control systems, where the operator is heuristically approximated by extended dynamic mode decomposition (EDMD). In this paper, we propose SafEDMD, a novel stability- and feedback-oriented EDMD-based controller design framework. Our approach leverages a reliable surrogate model generated in a data-driven fashion in order to prov","authors":["Strässer, Robin","Schaller, Manuel","Worthmann, Karl","Berberich, Julian","Allgöwer, Frank"],"url":"https://arxiv.org/abs/2402.03145","arxiv_id":"2402.03145","published":"2025-12-23"},{"title":"Averaging $n$-step Returns Reduces Variance in Reinforcement Learning","abstract":"Multistep returns, such as $n$-step returns and $λ$-returns, are commonly used to improve the sample efficiency of reinforcement learning (RL) methods. The variance of the multistep returns becomes the limiting factor in their length; looking too far into the future increases variance and reverses the benefits of multistep learning. In our work, we demonstrate the ability of compound returns -- weighted averages of $","authors":["Daley, Brett","White, Martha","Machado, Marlos C."],"url":"https://arxiv.org/abs/2402.03903","arxiv_id":"2402.03903","published":"2025-12-23"},{"title":"ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling","abstract":"By combining natural language understanding, generation capabilities, and breadth of knowledge of large language models with image perception, recent large vision language models (LVLMs) have shown unprecedented visual reasoning capabilities. However, the generated text often suffers from inaccurate grounding in the visual input, resulting in errors such as hallucination of nonexistent scene elements, missing signifi","authors":["Yan, Siming","Bai, Min","Chen, Weifeng","Zhou, Xiong","Huang, Qixing","Li, Li Erran"],"url":"https://arxiv.org/abs/2402.06118","arxiv_id":"2402.06118","published":"2025-12-23"},{"title":"BdSLW60: A Word-Level Bangla Sign Language Dataset","abstract":"Sign language discourse is an essential mode of daily communication for the deaf and hard-of-hearing people. However, research on Bangla Sign Language (BdSL) faces notable limitations, primarily due to the lack of datasets. Recognizing wordlevel signs in BdSL (WL-BdSL) presents a multitude of challenges, including the need for well-annotated datasets, capturing the dynamic nature of sign gestures from facial or hand ","authors":["Rubaiyeat, Husne Ara","Mahmud, Hasan","Habib, Ahsan","Hasan, Md. Kamrul"],"url":"https://arxiv.org/abs/2402.08635","arxiv_id":"2402.08635","published":"2025-12-23"},{"title":"Structured Language Generation Model: Loss Calibration and Formatted Decoding for Robust Structure Prediction and Knowledge Retrieval","abstract":"Modern generative pre-trained language models excel at open-ended text generation, yet continue to underperform on structure-related tasks such as NER, relation extraction, and semantic role labeling, especially when compared to encoder-only models of similar sizes. While this gap has been attributed to limited structure knowledge, we hypothesize this is also due to the missing connection between the model's inte","authors":["Lee, Minho","Min, Junghyun","Kim, Yerang","Lee, Woochul","Lee, Yeonsoo"],"url":"https://arxiv.org/abs/2402.08971","arxiv_id":"2402.08971","published":"2025-12-23"},{"title":"Variance Reduction and Low Sample Complexity in Stochastic Optimization via Proximal Point Method","abstract":"High-probability guarantees in stochastic optimization are often obtained only under strong noise assumptions such as sub-Gaussian tails. We show that such guarantees can also be achieved under the weaker assumption of bounded variance by developing a stochastic proximal point method. This method combines a proximal subproblem solver, which inherently reduces variance, with a probability booster that amplifies per-it","authors":["Liang, Jiaming"],"url":"https://arxiv.org/abs/2402.08992","arxiv_id":"2402.08992","published":"2025-12-23"},{"title":"IT Intrusion Detection Using Statistical Learning and Testbed Measurements","abstract":"We study automated intrusion detection in an IT infrastructure, specifically the problem of identifying the start of an attack, the type of attack, and the sequence of actions an attacker takes, based on continuous measurements from the infrastructure. We apply statistical learning methods, including Hidden Markov Model (HMM), Long Short-Term Memory (LSTM), and Random Forest Classifier (RFC) to map sequences of obser","authors":["Wang, Xiaoxuan","Stadler, Rolf"],"url":"https://arxiv.org/abs/2402.13081","arxiv_id":"2402.13081","published":"2025-12-23"},{"title":"AC4: Algebraic Computation Checker for Circuit Constraints in ZKPs","abstract":"Zero-knowledge proof (ZKP) systems have surged attention and held a fundamental role in contemporary cryptography. Zero-knowledge succinct non-interactive argument of knowledge (zk-SNARK) protocols dominate the ZKP usage, implemented through arithmetic circuit programming paradigm. However, underconstrained or overconstrained circuits may lead to bugs. The former refers to circuits that lack the necessary constraints","authors":["Yang, Qizhe","Liang, Boxuan","Chen, Hao","Li, Guoqiang"],"url":"https://arxiv.org/abs/2403.15676","arxiv_id":"2403.15676","published":"2025-12-23"},{"title":"NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising","abstract":"In recent years, there have been significant advancements in 3D reconstruction and dense RGB-D SLAM systems. One notable development is the application of Neural Radiance Fields (NeRF) in these systems, which utilizes implicit neural representation to encode 3D scenes. This extension of NeRF to SLAM has shown promising results. However, the depth images obtained from consumer-grade RGB-D sensors are often sparse and ","authors":["Deng, Tianchen","Wang, Yanbo","Xie, Hongle","Wang, Hesheng","Wang, Jingchuan","Wang, Danwei"],"url":"https://arxiv.org/abs/2403.20034","arxiv_id":"2403.20034","published":"2025-12-23"},{"title":"Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data","abstract":"Walking and cycling are known to bring substantial health, environmental, and economic advantages. However, the development of evidence-based active transportation planning and policies has been impeded by significant data limitations, such as biases in crowdsourced data and representativeness issues of mobile phone data. In this study, we develop and apply a machine learning based modeling approach for estimating da","authors":["Saberi, Meead","Lilasathapornkit, Tanapon"],"url":"https://arxiv.org/abs/2404.00162","arxiv_id":"2404.00162","published":"2025-12-23"},{"title":"Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection","abstract":"Existing studies on federated learning (FL) are mostly focused on system orchestration for static snapshots of the network and making static control decisions (e.g., spectrum allocation). However, real-world wireless networks are susceptible to temporal variations of wireless channel capacity and users' datasets. In this paper, we incorporate multi-granular system dynamics (MSDs) into FL, including (M1) dynamic w","authors":["Abdisarabshali, Payam","Kim, Kwang Taik","Langberg, Michael","Su, Weifeng","Hosseinalipour, Seyyedali"],"url":"https://arxiv.org/abs/2404.06324","arxiv_id":"2404.06324","published":"2025-12-23"},{"title":"S$^2$Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification","abstract":"Land cover analysis using hyperspectral images (HSI) remains an open problem due to their low spatial resolution and complex spectral information. Recent studies are primarily dedicated to designing Transformer-based architectures for spatial-spectral long-range dependencies modeling, which is computationally expensive with quadratic complexity. Selective structured state space model (Mamba), which is efficient for m","authors":["Wang, Guanchun","Zhang, Xiangrong","Peng, Zelin","Zhang, Tianyang","Jiao, Licheng"],"url":"https://arxiv.org/abs/2404.18213","arxiv_id":"2404.18213","published":"2025-12-23"}],"history":{"events":[{"year":2008,"text":"The Guinean military engineered a coup d'état, announcing that it planned to rule the country for two years prior to a new presidential election.","url":"https://en.wikipedia.org/wiki/Republic_of_Guinea_Armed_Forces"},{"year":1997,"text":"The Pioneer Helmet, one of only six Anglo-Saxon helmets to be discovered, was first placed on public display.","url":"https://en.wikipedia.org/wiki/Pioneer_Helmet"},{"year":1990,"text":"About 88 percent of eligible voters in Slovenia voted to secede from the Socialist Federal Republic of Yugoslavia.","url":"https://en.wikipedia.org/wiki/1990_Slovenian_independence_referendum"},{"year":1984,"text":"An engine fire caused Aeroflot Flight 3519 to crash shortly after takeoff from Krasnoyarsk, USSR, killing all but one of the 111 people on board.","url":"https://en.wikipedia.org/wiki/Aeroflot_Flight_3519"},{"year":1958,"text":"Tokyo Tower, then the world's tallest freestanding tower, opened.","url":"https://en.wikipedia.org/wiki/Tokyo_Tower"},{"year":1957,"text":"Leading the Australia national cricket team, Ian Craig became the youngest-ever Test cricket captain at the time.","url":"https://en.wikipedia.org/wiki/Australia_national_cricket_team"},{"year":1919,"text":"The Sex Disqualification (Removal) Act was enacted, lifting most of the existing common-law restrictions on women in the United Kingdom.","url":"https://en.wikipedia.org/wiki/Sex_Disqualification_(Removal)_Act_1919"},{"year":1916,"text":"First World War: Allied forces gained a strategic victory at the Battle of Magdhaba on the Sinai Peninsula.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1888,"text":"During a bout of mental illness, Dutch painter Vincent van Gogh (pictured) severed part of his left ear and gave it to a woman in a brothel in Arles, France.","url":"https://en.wikipedia.org/wiki/Mental_disorder"},{"year":1815,"text":"Jane Austen's novel Emma was first published, the last novel released during her lifetime.","url":"https://en.wikipedia.org/wiki/Jane_Austen"},{"year":1783,"text":"George Washington resigned as commander-in-chief of the Continental Army at the Maryland State House in Annapolis (painting shown).","url":"https://en.wikipedia.org/wiki/George_Washington"},{"year":1776,"text":"American Revolutionary War: American troops, overwhelmed by British reinforcements, retreated from the Battle of Iron Works Hill.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":583,"text":"Yohl Ikʼnal (signature pictured) acceded to the throne of the Maya city-state of Palenque.","url":"https://en.wikipedia.org/wiki/Yohl_Ik%CA%BCnal"}],"births":[{"year":2002,"text":"Finn Wolfhard, Canadian actor and musician","url":"https://en.wikipedia.org/wiki/Finn_Wolfhard"},{"year":2000,"text":"Victor Boniface, Nigerian footballer","url":"https://en.wikipedia.org/wiki/Victor_Boniface"},{"year":1999,"text":"Samuel Lino, Brazilian footballer","url":"https://en.wikipedia.org/wiki/Samuel_Lino"},{"year":1996,"text":"Bartosz Kapustka, Polish footballer","url":"https://en.wikipedia.org/wiki/Bartosz_Kapustka"},{"year":1994,"text":"Reed Alexander, American actor","url":"https://en.wikipedia.org/wiki/Reed_Alexander"},{"year":1992,"text":"Spencer Daniels, American actor","url":"https://en.wikipedia.org/wiki/Spencer_Daniels"},{"year":1992,"text":"Mbwana Samatta, Tanzanian footballer","url":"https://en.wikipedia.org/wiki/Mbwana_Samatta"},{"year":1992,"text":"Jeff Schlupp, German footballer","url":"https://en.wikipedia.org/wiki/Jeffrey_Schlupp"}],"deaths":[{"year":2024,"text":"Shyam Benegal, Indian director and screenwriter (born 1934)","url":"https://en.wikipedia.org/wiki/Shyam_Benegal"},{"year":2024,"text":"Dési Bouterse, Surinamese general and politician, 9th President of Suriname (born 1945)","url":"https://en.wikipedia.org/wiki/D%C3%A9si_Bouterse"},{"year":2024,"text":"Sophie Hediger, Swiss snowboarder (born 1998)","url":"https://en.wikipedia.org/wiki/Sophie_Hediger"},{"year":2023,"text":"William Pope.L, American performance artist (born 1955)","url":"https://en.wikipedia.org/wiki/William_Pope.L"},{"year":2022,"text":"Brandon Montrell, American TikTok personality and stand-up comedian (born 1979)","url":"https://en.wikipedia.org/wiki/Brandon_Montrell"},{"year":2021,"text":"Joan Didion, American writer (born 1934)","url":"https://en.wikipedia.org/wiki/Joan_Didion"},{"year":2020,"text":"Leslie West, American singer and guitarist (born 1945)","url":"https://en.wikipedia.org/wiki/Leslie_West"},{"year":2017,"text":"Maurice Hayes, Irish educator and politician (born 1927)","url":"https://en.wikipedia.org/wiki/Maurice_Hayes"}]},"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."}