{"date":"2026-07-01","schema_version":1,"captured_at":"2026-08-25T23:14:18.744Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"2026 FIFA World Cup","views":823960,"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. 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(July 2026)","points":247,"comments":428,"url":"https://news.ycombinator.com/item?id=48747976","discussion":"https://news.ycombinator.com/item?id=48747976"},{"title":"Weave Robotics launches Isaac 1, a $7,999 home robot with Fall 2026 deliveries","points":234,"comments":383,"url":"https://www.weaverobotics.com/isaac-1","discussion":"https://news.ycombinator.com/item?id=48750989"},{"title":"Opening up 'Zero-Knowledge Proof' technology to promote privacy in age assurance","points":231,"comments":285,"url":"https://blog.google/innovation-and-ai/technology/safety-security/opening-up-zero-knowledge-proof-technology-to-promote-privacy-in-age-assurance/","discussion":"https://news.ycombinator.com/item?id=48753979"}],"research":[{"title":"Monte Carlo Information Geometry: The dually flat case","abstract":"Exponential families and mixture families are parametric probability models that can be geometrically studied as smooth statistical manifolds with respect to any statistical divergence like the Kullback-Leibler (KL) divergence or the Hellinger divergence. When equipping a statistical manifold with the KL divergence, the induced manifold structure is dually flat, and the KL divergence between distributions amounts to ","authors":["Nielsen, Frank","Hadjeres, Gaëtan"],"url":"https://arxiv.org/abs/1803.07225","arxiv_id":"1803.07225","published":"2026-07-01"},{"title":"Multiple Testing of Linear Forms for Noisy Matrix Completion","abstract":"Many important tasks of large-scale recommender systems can be naturally cast as testing multiple linear forms for noisy matrix completion. These problems, however, present unique challenges because of the subtle bias-and-variance tradeoff of and an intricate dependence among the estimated entries induced by the low-rank structure. In this paper, we develop a general approach to overcome these difficulties by introdu","authors":["Ma, Wanteng","Du, Lilun","Xia, Dong","Yuan, Ming"],"url":"https://arxiv.org/abs/2312.00305","arxiv_id":"2312.00305","published":"2026-07-01"},{"title":"Corruption Robust Offline Reinforcement Learning with Human Feedback","abstract":"We study data corruption robustness for reinforcement learning with human feedback (RLHF) in an offline setting. Given an offline dataset of pairs of trajectories along with feedback about human preferences, an $\\varepsilon$-fraction of the pairs is corrupted (e.g., feedback flipped or trajectory features manipulated), capturing an adversarial attack or noisy human preferences. We aim to design algorithms that identi","authors":["Mandal, Debmalya","Nika, Andi","Kamalaruban, Parameswaran","Singla, Adish","Radanović, Goran"],"url":"https://arxiv.org/abs/2402.06734","arxiv_id":"2402.06734","published":"2026-07-01"},{"title":"ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System","abstract":"Most of the intrusion detection datasets to research machine learning-based intrusion detection systems (IDSs) are devoted to cyber-only systems, and they typically collect data from one architectural layer. Additionally, often the attacks are generated in dedicated attack sessions, without reproducing the realistic alternation and overlap of normal and attack actions. We present a dataset for intrusion detection by ","authors":["Puccetti, Tommaso","Nardi, Simone","Cinquilli, Cosimo","Zoppi, Tommaso","Ceccarelli, Andrea"],"url":"https://arxiv.org/abs/2402.08468","arxiv_id":"2402.08468","published":"2026-07-01"},{"title":"Detection Latencies of Anomaly Detectors: An Overlooked Perspective ?","abstract":"The ever-evolving landscape of attacks, coupled with the growing complexity of ICT systems, makes crafting anomaly-based intrusion detectors (ID) and error detectors (ED) a difficult task: they must accurately detect attacks, and they should promptly perform detections. Although improving and comparing the detection capability is the focus of most research works, the timeliness of the detection is less considered and","authors":["Puccetti, Tommaso","Ceccarelli, Andrea"],"url":"https://arxiv.org/abs/2402.09082","arxiv_id":"2402.09082","published":"2026-07-01"},{"title":"Perturbation Effects on Robustness and Individual Fairness","abstract":"Deep neural networks are vulnerable to adversarial perturbations that can simultaneously degrade prediction robustness and individual fairness across diverse application settings. However, existing evaluation protocols typically assess these dimensions in isolation, thereby obscuring critical failure modes. To bridge this gap, we formalize Robust Individual Fairness (RIF): under semantic-preserving (truth-condition-p","authors":["Li, Xuran","Xue, Hao","Wu, Peng","Ma, Xingjun","Zhang, Zhen","Chen, Huaming"],"url":"https://arxiv.org/abs/2404.01356","arxiv_id":"2404.01356","published":"2026-07-01"},{"title":"A Realistic Protocol for Evaluation of Weakly Supervised Object Localization","abstract":"Weakly Supervised Object Localization (WSOL) allows training deep learning models for classification and localization (LOC) using only global class-level labels. The absence of bounding box (bbox) supervision during training raises challenges in the literature for hyper-parameter tuning, model selection, and evaluation. WSOL methods rely on a validation set with bbox annotations for model selection, and a test set wi","authors":["Murtaza, Shakeeb","Belharbi, Soufiane","Pedersoli, Marco","Granger, Eric"],"url":"https://arxiv.org/abs/2404.10034","arxiv_id":"2404.10034","published":"2026-07-01"},{"title":"PoseGravity: Pose Estimation from Points and Lines with Axis Prior","abstract":"This paper presents a new algorithm to estimate absolute camera pose given an axis of the camera's rotation matrix. Current algorithms solve the problem via algebraic solutions on limited input domains. This paper shows that the problem can be solved efficiently by finding the intersection points of a hyperbola and the unit circle. The solution can flexibly accommodate combinations of point and line features in m","authors":["Chandrasekhar, Akshay"],"url":"https://arxiv.org/abs/2405.12646","arxiv_id":"2405.12646","published":"2026-07-01"},{"title":"Breaking the Curse of Dimensionality: Diffusion Models Efficiently Learn Low-Dimensional Distributions","abstract":"Despite their empirical success across a wide range of generative tasks, the fundamental principles underlying the ability of diffusion models to learn data distributions are poorly understood. In this work, we develop a new mathematical framework that explains how diffusion models can effectively learn low-dimensional distributions from a finite number of training samples without suffering from the curse of dimensio","authors":["Wang, Peng","Zhang, Huijie","Zhang, Zekai","Chen, Siyi","Ma, Yi","Qu, Qing"],"url":"https://arxiv.org/abs/2409.02426","arxiv_id":"2409.02426","published":"2026-07-01"},{"title":"Quality Perceptions and Intended Engagement in Response to AI-Generated and AI-Assisted News","abstract":"The increasing use of artificial intelligence (AI) in news production raises important questions about how audiences perceive and respond to AI-generated journalism. This preregistered survey experiment (N = 599, German-speaking Switzerland) examines (i) perceptions of article quality (measured as credibility, readability, and expertise) across news excerpts that were human-written, AI-assisted, or fully AI-generated","authors":["Gilardi, Fabrizio","Di Lorenzo, Sabrina","Ezzaini, Juri","Santa, Beryl","Streiff, Benjamin","Zurfluh, Eric"],"url":"https://arxiv.org/abs/2409.03500","arxiv_id":"2409.03500","published":"2026-07-01"},{"title":"PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing","abstract":"Detailed and photorealistic 3D human modeling is essential for various applications and has seen tremendous progress. However, full-body reconstruction from a monocular RGB image remains challenging due to the ill-posed nature of the problem and sophisticated clothing topology with self-occlusions. In this paper, we propose PSHuman, a novel framework that explicitly reconstructs human meshes utilizing priors from the","authors":["Li, Peng","Zheng, Wangguandong","Liu, Yuan","Yu, Tao","Li, Yangguang","Qi, Xingqun"],"url":"https://arxiv.org/abs/2409.10141","arxiv_id":"2409.10141","published":"2026-07-01"},{"title":"Collaborative Knowledge Distillation via a Learning-by-Education Node Community","abstract":"A novel Learning-by-Education Node Community framework (LENC) for Collaborative Knowledge Distillation (CKD) is presented, which facilitates continual collective learning through effective knowledge exchanges among diverse deployed Deep Neural Network (DNN) peer nodes. These DNNs dynamically and autonomously adopt either the role of a student, seeking knowledge, or that of a teacher, imparting knowledge, fostering a ","authors":["Kaimakamidis, Anestis","Mademlis, Ioannis","Pitas, Ioannis"],"url":"https://arxiv.org/abs/2410.00074","arxiv_id":"2410.00074","published":"2026-07-01"},{"title":"Automated Discovery of Operable Dynamics from Videos","abstract":"Dynamical systems form the foundation of scientific discovery, traditionally modeled with predefined state variables such as the angle and angular velocity, and differential equations such as the equation of motion for a single pendulum. We introduce a framework that automatically discovers a low-dimensional and operable representation of system dynamics, including a set of compact state variables that preserve the s","authors":["Huang, Kuang","Cho, Dong Heon","Chen, Boyuan"],"url":"https://arxiv.org/abs/2410.11894","arxiv_id":"2410.11894","published":"2026-07-01"},{"title":"Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models","abstract":"As AI-generated content increasingly populates the web, generative AI models are at growing risk of being trained on their own outputs, a process known as AI autophagy. This feedback loop has been shown to induce model collapse, typically characterized by a loss of diversity in generated content. However, existing work offers a limited understanding of this phenomenon and relies on mitigation strategies that assume a","authors":["Gambetta, Daniele","Gezici, Gizem","Giannotti, Fosca","Pedreschi, Dino","Knott, Alistair","Pappalardo, Luca"],"url":"https://arxiv.org/abs/2410.12341","arxiv_id":"2410.12341","published":"2026-07-01"},{"title":"Stealthy Multi-Task Adversarial Attacks","abstract":"Deep neural networks are highly vulnerable to adversarial perturbations, raising serious safety concerns in the real-world systems. While prior work mainly explores single-task attacks or jointly degrading all tasks in multi-task models, practical scenarios often demand more selective and stealthy attack strategies. To address this challenge, we propose Stealthy Multi-Task Adversarial Attack (SMTA$^{2}$), a novel fra","authors":["Guo, Jiacheng","Zhang, Tianyun","Li, Lei","Yang, Haochen","Yu, Hongkai","Qin, Minghai"],"url":"https://arxiv.org/abs/2411.17936","arxiv_id":"2411.17936","published":"2026-07-01"},{"title":"Filterless Snapshot Hyperspectral Imaging using Guided Patch Diffusion","abstract":"We consider the problem of reconstructing a HxWx31 hyperspectral image from a $H\\times W$ grayscale snapshot measurement that is captured using only a single diffractive lens and a filterless panchromatic photosensor. This problem is severely ill-posed, but we present a model that produces high-quality results in simulation and experiment. We make efficient use of limited training data by creating a conditional denoi","authors":["Hazineh, Dean","Sacchi, Luca","Cassara, Davide","Capasso, Federico","Zickler, Todd"],"url":"https://arxiv.org/abs/2412.02798","arxiv_id":"2412.02798","published":"2026-07-01"},{"title":"Sampling Out-of-Distribution Chemical Spaces via Bayesian Flow","abstract":"Generating novel molecules with higher properties than the training space, namely the out-of-distribution generation, is important for de novo drug design. However, it is not easy for distribution learning-based models, for example diffusion models, to solve this challenge as these methods are designed to fit the distribution of training data as close as possible. In this paper, we show that Bayesian flow network, es","authors":["Tao, Nianze","Abe, Minori"],"url":"https://arxiv.org/abs/2412.11439","arxiv_id":"2412.11439","published":"2026-07-01"},{"title":"SubData: Bridging Heterogeneous Datasets to Enable Theory-Driven Evaluation of Political and Demographic Perspectives in LLMs","abstract":"As increasingly capable large language models (LLMs) emerge, researchers have begun exploring their potential for subjective tasks. While recent work demonstrates that LLMs can be aligned with diverse human perspectives, evaluating this alignment on downstream tasks (e.g., hate speech detection) remains challenging due to the use of inconsistent datasets across studies. To address this issue, in this resource paper w","authors":["Bernardelle, Pietro","Fröhling, Leon","Civelli, Stefano","Demartini, Gianluca"],"url":"https://arxiv.org/abs/2412.16783","arxiv_id":"2412.16783","published":"2026-07-01"},{"title":"Joint Optimization for 4D Human-Scene Reconstruction in the Wild","abstract":"Reconstructing human motion and its surrounding environment is crucial for understanding human-scene interaction and predicting human movements in the scene. While much progress has been made in capturing human-scene interaction in constrained environments, those prior methods can hardly reconstruct the natural and diverse human motion and scene context from web videos. In this work, we propose JOSH, a novel optimiza","authors":["Liu, Zhizheng","Lin, Joe","Wu, Wayne","Zhou, Bolei"],"url":"https://arxiv.org/abs/2501.02158","arxiv_id":"2501.02158","published":"2026-07-01"},{"title":"A Statistical Learning Approach to Mediterranean Cyclones","abstract":"Mediterranean cyclones are extreme meteorological events of which much less is known compared to their tropical, oceanic counterparts. The raising interest in such phenomena is due to their impact on a region increasingly more affected by climate change, but a precise characterization remains a non trivial task. In this work we showcase how a Bayesian algorithm (Latent Dirichlet Allocation) can classify Mediterranean","authors":["Roveri, L.","Fery, L.","Cavicchia, L.","Grotto, F."],"url":"https://arxiv.org/abs/2501.15694","arxiv_id":"2501.15694","published":"2026-07-01"},{"title":"Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition","abstract":"Emotions play a crucial role in human behavior and decision-making, making emotion recognition a key area of interest in human-computer interaction (HCI). This study addresses the challenges of emotion recognition by integrating facial expression analysis with electroencephalogram (EEG) signals, introducing a novel multimodal framework-Milmer. The proposed framework employs a transformer-based fusion approach to effe","authors":["Wang, Zaitian","He, Jian","Liang, Yu","Hu, Xiyuan","Peng, Tianhao","Wang, Kaixin"],"url":"https://arxiv.org/abs/2502.00547","arxiv_id":"2502.00547","published":"2026-07-01"},{"title":"Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning","abstract":"Deep reinforcement learning (DRL) has successfully addressed many complex control problems. However, the neural networks representing policies or values remain opaque, undermining trust in high-stakes applications. While concept-based methods have shown promise in deciphering internal representations in computer vision, applying them to DRL is impeded by the absence of pre-defined semantic concepts in continuous stat","authors":["Jiang, Zeyu","Huang, Hai","Zuo, Xingquan"],"url":"https://arxiv.org/abs/2502.00684","arxiv_id":"2502.00684","published":"2026-07-01"},{"title":"CNN Autoencoders for Hierarchical Feature Extraction and Fusion in Multi-sensor Human Activity Recognition","abstract":"Deep learning methods have been widely used for Human Activity Recognition (HAR) using recorded signals from Iner-tial Measurement Units (IMUs) sensors that are installed on various parts of the human body. For this type of HAR, sev-eral challenges exist, the most significant of which is the analysis of multivarious IMU sensors data. Here, we introduce a Hierarchically Unsupervised Fusion (HUF) model designed to extr","authors":["Arabzadeh, Saeed","Almasganj, Farshad","Ahmadi, Mohammad Mahdi"],"url":"https://arxiv.org/abs/2502.04489","arxiv_id":"2502.04489","published":"2026-07-01"},{"title":"Mantis: Lightweight Foundation Model for Time Series Classification","abstract":"While foundation models have revolutionized various domains, their application to time series classification remains rather under-explored, with existing literature predominantly focused on forecasting. To bridge this gap, we introduce \\textbf{Mantis}, a transformer-based foundation model pre-trained exclusively on synthetic data via self-supervised contrastive learning. We demonstrate that effective tokenization is ","authors":["Feofanov, Vasilii","Wen, Songkang","Xie, Shifeng","Roschmann, Simon","Alonso, Marius","Guo, Hongbo"],"url":"https://arxiv.org/abs/2502.15637","arxiv_id":"2502.15637","published":"2026-07-01"},{"title":"Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection","abstract":"Large Language Models (LLMs) often hallucinate, limiting their reliability in sensitive applications. In black-box settings, several self-consistency-based techniques have been proposed for hallucination detection. We empirically show that these methods perform nearly as well as a supervised (black-box) oracle, leaving limited room for further gains within this paradigm. To address this limitation, we explore cross-m","authors":["Xue, Yihao","Greenewald, Kristjan","Mroueh, Youssef","Mirzasoleiman, Baharan"],"url":"https://arxiv.org/abs/2502.15845","arxiv_id":"2502.15845","published":"2026-07-01"}],"history":{"events":[{"year":2008,"text":"Rioting erupted in Ulaanbaatar, Mongolia, over allegations of fraud surrounding the recent legislative election.","url":"https://en.wikipedia.org/wiki/2008_riot_in_Mongolia"},{"year":2002,"text":"Bashkirian Airlines Flight 2937 and DHL Flight 611 collided in mid-air over Überlingen, Germany, killing all 71 people aboard both aircraft.","url":"https://en.wikipedia.org/wiki/2002_%C3%9Cberlingen_mid-air_collision"},{"year":1999,"text":"Legislative powers in Scotland were first devolved from the Scottish Office in London to the Scottish Parliament in Edinburgh.","url":"https://en.wikipedia.org/wiki/Devolution_in_the_United_Kingdom"},{"year":1983,"text":"A North Korean Ilyushin Il-62M jet crashed into the Fouta Djallon mountains in Guinea, killing all 23 people on board.","url":"https://en.wikipedia.org/wiki/Ilyushin_Il-62"},{"year":1979,"text":"Sony introduced the Walkman, a portable audio player that changed listening habits by offering users the ability to play one's own choice of music.","url":"https://en.wikipedia.org/wiki/Sony"},{"year":1970,"text":"The Belfast Banking Company, which issued banknotes in Northern Ireland, merged with its rival Northern Bank.","url":"https://en.wikipedia.org/wiki/Belfast_Banking_Company"},{"year":1960,"text":"Ghana became a republic, with Kwame Nkrumah as its first president.","url":"https://en.wikipedia.org/wiki/Kwame_Nkrumah"},{"year":1959,"text":"B. Anthony Stewart is credited with the first image on the cover of National Geographic featuring the 49-star flag of the United States after Alaska's admission to the Union as a U.S. state.","url":"https://en.wikipedia.org/wiki/B._Anthony_Stewart"},{"year":1948,"text":"The first flight departed New York City's John F. Kennedy International Airport, then known as New York International Airport.","url":"https://en.wikipedia.org/wiki/John_F._Kennedy_International_Airport"},{"year":1940,"text":"Second World War: The Grand Quartier Général of the French Army was disbanded, following the French surrender.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1935,"text":"The first Grant Park Music Festival was held in Chicago's Grant Park.","url":"https://en.wikipedia.org/wiki/Grant_Park_Music_Festival"},{"year":1927,"text":"The Singapore Improvement Trust was founded to oversee the construction of public housing in Singapore, where more than three quarters of residents live.","url":"https://en.wikipedia.org/wiki/Singapore_Improvement_Trust"},{"year":1922,"text":"Seven of the sixteen American railroad labor organizations staged a nationwide strike (striking workers pictured) that lasted two months.","url":"https://en.wikipedia.org/wiki/List_of_American_railway_unions"},{"year":1921,"text":"Yan Ruisheng (advertisement pictured), the first full-length Chinese film, is released in Shanghai.","url":"https://en.wikipedia.org/wiki/Yan_Ruisheng"},{"year":1916,"text":"First World War: The first day of the Battle of Albert, the opening phase of the Battle of the Somme, became the bloodiest day in the British Army's history, with 57,470 casualties, including 19,240 deaths.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1874,"text":"The Remington No. 1, the first commercially successful typewriter, went on sale.","url":"https://en.wikipedia.org/wiki/Sholes_and_Glidden_typewriter"},{"year":1862,"text":"American Civil War: Confederate general Robert E. Lee launched a series of disjointed and ultimately unsuccessful assaults on the nearly impregnable Union position on Malvern Hill in Henrico County, Virginia.","url":"https://en.wikipedia.org/wiki/American_Civil_War"},{"year":1849,"text":"Belgium introduced its first series of postage stamps, known as epaulettes (example pictured).","url":"https://en.wikipedia.org/wiki/Epaulettes_(stamp)"}],"births":[{"year":2004,"text":"Daniela Avanzini, American singer and dancer","url":"https://en.wikipedia.org/wiki/Daniela_Avanzini"},{"year":2004,"text":"Alejandro Garnacho, Spanish-Argentine footballer","url":"https://en.wikipedia.org/wiki/Alejandro_Garnacho"},{"year":2003,"text":"Tate McRae, Canadian singer-songwriter and dancer","url":"https://en.wikipedia.org/wiki/Tate_McRae"},{"year":2003,"text":"Storm Reid, American actress","url":"https://en.wikipedia.org/wiki/Storm_Reid"},{"year":2001,"text":"Chosen Jacobs, American actor and singer","url":"https://en.wikipedia.org/wiki/Chosen_Jacobs"},{"year":2001,"text":"Theo, South Korean singer-songwriter","url":"https://en.wikipedia.org/wiki/P1Harmony"},{"year":2000,"text":"Lalu Muhammad Zohri, Indonesian sprinter","url":"https://en.wikipedia.org/wiki/Lalu_Muhammad_Zohri"},{"year":1998,"text":"Chloe Bailey, American singer-songwriter and actress","url":"https://en.wikipedia.org/wiki/Chloe_Bailey"}],"deaths":[{"year":2025,"text":"Alex Delvecchio, Canadian ice hockey player and coach (born 1931)","url":"https://en.wikipedia.org/wiki/Alex_Delvecchio"},{"year":2025,"text":"Jimmy Swaggart, American pastor and television host (born 1935)","url":"https://en.wikipedia.org/wiki/Jimmy_Swaggart"},{"year":2024,"text":"Ismail Kadare, Albanian novelist (born 1936)","url":"https://en.wikipedia.org/wiki/Ismail_Kadare"},{"year":2024,"text":"Robert Towne, American screenwriter (born 1934)","url":"https://en.wikipedia.org/wiki/Robert_Towne"},{"year":2023,"text":"Dilano van 't Hoff, Dutch race car driver (born 2004)","url":"https://en.wikipedia.org/wiki/Dilano_van_'t_Hoff"},{"year":2021,"text":"Louis Andriessen, Dutch composer (born 1939)","url":"https://en.wikipedia.org/wiki/Louis_Andriessen"},{"year":2019,"text":"Bogusław Schaeffer, Polish composer (born 1929)","url":"https://en.wikipedia.org/wiki/Bogus%C5%82aw_Schaeffer"},{"year":2016,"text":"Robin Hardy, English author and film director (born 1929)","url":"https://en.wikipedia.org/wiki/Robin_Hardy_(film_director)"}]},"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."}