{"date":"2026-09-04","schema_version":1,"captured_at":"2026-09-05T08:39:26.344Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Gloria Steinem","views":827677,"rank":3,"extract":"Gloria Marie Steinem was an American journalist and social movement activist who emerged as a nationally recognized leader of second-wave feminism in the United States in the late 1960s and early 1970s, and who remained particularly prominent in the 1980s and ","url":"https://en.wikipedia.org/wiki/Gloria_Steinem","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/2/28/Gloria_Steinem_1977_%C2%A9Lynn_Gilbert_%28cropped%29.jpg/330px-Gloria_Steinem_1977_%C2%A9Lynn_Gilbert_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Killing of the Clancy children","views":647865,"rank":5,"extract":"On January 24, 2023, Lindsay Clancy fatally strangled her three children—five-year-old Cora, three-year-old Dawson, and eight-month-old Callan—at the family's home in Duxbury, Massachusetts, United States. She then attempted suicide by cutting her wrists and n","url":"https://en.wikipedia.org/wiki/Killing_of_the_Clancy_children","thumb":"https://upload.wikimedia.org/wikipedia/en/a/a4/Clancy_children.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"David Bale","views":179748,"rank":7,"extract":"David Charles Howard Bale was an English entrepreneur, environmentalist, and animal welfare activist. He was the father of actor Christian Bale and the husband of Gloria Steinem.","url":"https://en.wikipedia.org/wiki/David_Bale","thumb":"https://upload.wikimedia.org/wikipedia/en/c/c4/David_Charles_Howard_Bale.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Toxic (2026 film)","views":177962,"rank":8,"extract":"Toxic: A Fairy Tale for Grown-Ups is a 2026 Indian psychological thriller gangster film directed by Geetu Mohandas and jointly produced by Venkat K. 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It is based on the novel of the same name by Alex North and stars Robert De Niro, Michelle Monaghan, and Adam Scott.","url":"https://en.wikipedia.org/wiki/The_Whisper_Man","thumb":"https://upload.wikimedia.org/wikipedia/en/5/54/The_Whisper_Man_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"RSA numbers","views":66114,"rank":29,"extract":"In mathematics, the RSA numbers are a set of large semiprimes that were part of the RSA Factoring Challenge. The challenge was to find the prime factors of each number. It was created by RSA Laboratories in March 1991 to encourage research into computational n","url":"https://en.wikipedia.org/wiki/RSA_numbers","thumb":null},{"title":"Maria Bartiromo","views":65880,"rank":30,"extract":"Maria Sara Bartiromo is an American conservative journalist and author who has also worked as a financial reporter and news anchor. She was the host of Mornings with Maria and Maria Bartiromo's Wall Street on the Fox Business channel, and Sunday Morning Future","url":"https://en.wikipedia.org/wiki/Maria_Bartiromo","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/a/ae/2026_Maria_Bartiromo_%28cropped%29.jpg/330px-2026_Maria_Bartiromo_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Buddy (2026 film)","views":64826,"rank":31,"extract":"Buddy is a 2026 American black comedy supernatural horror film directed by Casper Kelly and written by Kelly and Jamie King. 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Diagnosed with paranoid schizophrenia, she killed three of her children in Maine in 1954, and after spending several years in a mental institution, she was released, only to kill three more of her","url":"https://en.wikipedia.org/wiki/Constance_Fisher","thumb":null},{"title":"The Black List (survey)","views":60339,"rank":35,"extract":"The Black List is an annual survey of the \"most-liked\" motion picture screenplays not yet produced. It has been published every year since 2005 on the second Friday of December by Franklin Leonard, a development executive who has worked at Universal Pictures a","url":"https://en.wikipedia.org/wiki/The_Black_List_(survey)","thumb":null},{"title":"List of highest-grossing films","views":59804,"rank":36,"extract":"Films generate income from several revenue streams, including theatrical exhibition, home video, television broadcast rights, and merchandising. However, theatrical box-office earnings are the primary metric for trade publications in assessing the success of a","url":"https://en.wikipedia.org/wiki/List_of_highest-grossing_films","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/2/27/Poster_-_Gone_With_the_Wind_01.jpg/330px-Poster_-_Gone_With_the_Wind_01.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"}],"frontier":[{"title":"Discovery of a new OpenAI agent message board","points":1671,"comments":1302,"url":"https://collusion.wiki/","discussion":"https://news.ycombinator.com/item?id=49563355"},{"title":"Formalizing Fermat's Last Theorem","points":594,"comments":371,"url":"https://www.anthropic.com/research/formalizing-fermats-last-theorem","discussion":"https://news.ycombinator.com/item?id=49568506"},{"title":"Hackers had a live feed of every ID verification company scanned for over a year","points":540,"comments":236,"url":"http://www.techdirt.com/2026/09/03/hackers-had-a-live-feed-of-every-id-this-verification-company-scanned-for-over-a-year/","discussion":"https://news.ycombinator.com/item?id=49561320"},{"title":"Actively exploited sandbox RCE in all Chromium versions","points":464,"comments":258,"url":"https://nvd.nist.gov/vuln/detail/cve-2026-85046","discussion":"https://news.ycombinator.com/item?id=49570669"},{"title":"Solving the Jane Street reverse engineering challenge","points":414,"comments":92,"url":"https://jestoph.com/2026/09/04/jane-street-challenge.html","discussion":"https://news.ycombinator.com/item?id=49562657"},{"title":"Record-High 89% in U.S. Say Government Corruption Widespread","points":392,"comments":294,"url":"https://news.gallup.com/poll/713933/record-high-say-government-corruption-widespread.aspx","discussion":"https://news.ycombinator.com/item?id=49570772"},{"title":"Adult Film Producer Unmasks Prolific 'John DOE' Torrent Pirate as Meta Executive","points":384,"comments":225,"url":"https://torrentfreak.com/adult-film-producer-unmasks-prolific-john-doe-torrent-pirate-as-meta-executive/","discussion":"https://news.ycombinator.com/item?id=49567053"},{"title":"Google AI Mode shows same products 21.6% more expensive than traditional search","points":380,"comments":72,"url":"https://productrise.app/blog/google-ai-mode-prefers-more-expensive-products","discussion":"https://news.ycombinator.com/item?id=49563386"},{"title":"Shutting down our public encrypted DNS","points":327,"comments":151,"url":"https://mullvad.net/en/blog/shutting-down-our-public-encrypted-dns-servers-and-sponsoring-quad9-instead","discussion":"https://news.ycombinator.com/item?id=49568579"},{"title":"Corporate America is getting hooked on open-source AI","points":293,"comments":268,"url":"https://www.nytimes.com/2026/09/04/technology/open-source-ai-anthropic-openai.html","discussion":"https://news.ycombinator.com/item?id=49566137"},{"title":"Show HN: Open-Source eInk Bike Computer","points":280,"comments":99,"url":"https://opentrailpaper.com","discussion":"https://news.ycombinator.com/item?id=49567437"},{"title":"IBM Bob","points":262,"comments":285,"url":"https://bob.ibm.com/","discussion":"https://news.ycombinator.com/item?id=49563851"},{"title":"Statichost.eu – European static site hosting","points":261,"comments":91,"url":"https://www.statichost.eu/","discussion":"https://news.ycombinator.com/item?id=49569896"},{"title":"Can AI design circuit boards yet?","points":244,"comments":148,"url":"https://eebench.org/blog/can-ai-design-circuit-boards-yet/","discussion":"https://news.ycombinator.com/item?id=49569366"},{"title":"GPT-6 Astra on OpenRouter","points":206,"comments":120,"url":"https://openrouter.ai/openai/gpt-6-astra","discussion":"https://news.ycombinator.com/item?id=49570545"},{"title":"Nobody is saying why OpenAI and Anthropic had outages","points":194,"comments":4,"url":"https://www.wired.com/story/nobody-is-saying-why-openai-and-anthropic-had-outages-today/","discussion":"https://news.ycombinator.com/item?id=49567594"},{"title":"How Fairphone built the Fairphone Gen 6+","points":191,"comments":182,"url":"https://arstechnica.com/gadgets/2026/09/nearly-impossible-how-fairphone-built-the-ethical-repairable-fairphone-gen-6/","discussion":"https://news.ycombinator.com/item?id=49563784"},{"title":"Gmail to end support for \"Send as\" for third-party addresses, such as @yahoo.com","points":185,"comments":128,"url":"https://support.google.com/mail/answer/22370?hl=en","discussion":"https://news.ycombinator.com/item?id=49565693"},{"title":"US Military disables ad trackers on troops' phones","points":185,"comments":95,"url":"https://www.theguardian.com/us-news/2026/sep/04/military-disables-phone-ad-trackers","discussion":"https://news.ycombinator.com/item?id=49564555"},{"title":"Top Pentagon Official Contracted Personal Lawyer to Handle Minerals Deal","points":154,"comments":74,"url":"https://prospect.org/2026/08/21/pentagon-minerals-deal-department-defense-cerberus-capital-alan-waldenberg-stephen-feinberg/","discussion":"https://news.ycombinator.com/item?id=49564714"},{"title":"The Rust React Compiler is now native in Vite","points":135,"comments":30,"url":"https://blog.master.dev/react-now-rusted-all-the-way-out/","discussion":"https://news.ycombinator.com/item?id=49567873"},{"title":"deSEC – Free Secure DNS","points":128,"comments":46,"url":"https://desec.io/","discussion":"https://news.ycombinator.com/item?id=49566193"},{"title":"Project Xanadu: Even More Hindsight (2025)","points":122,"comments":40,"url":"https://gwern.net/xanadu","discussion":"https://news.ycombinator.com/item?id=49559522"},{"title":"Show HN: TERMy – A fast terminal assistant that does not use LLMs","points":121,"comments":33,"url":"https://github.com/gioblu/NPC-Forge/blob/main/docs/development.md","discussion":"https://news.ycombinator.com/item?id=49562219"},{"title":"Ok, but does it scale?","points":116,"comments":66,"url":"https://spacetimedb.com/blog/how-does-spacetime-scale","discussion":"https://news.ycombinator.com/item?id=49563772"}],"research":[{"title":"Calibrating Over-Parametrized Simulation Models: A Framework via Eligibility Set","abstract":"Stochastic simulation aims to compute output performance for complex models that lack analytical tractability. To ensure accurate prediction, the model needs to be calibrated and validated against real data. Conventional methods approach these tasks by assessing the model-data match via simple hypothesis tests or distance minimization in an ad hoc fashion, but they can encounter challenges arising from non-identifiab","authors":["Bai, Yuanlu","Balch, Tucker","Chen, Haoxian","Dervovic, Danial","Lam, Henry","Vyetrenko, Svitlana"],"url":"https://arxiv.org/abs/2105.12893","arxiv_id":"2105.12893","published":"2026-09-04"},{"title":"Evaluating Proposed Fairness Models for Face Recognition Algorithms","abstract":"The development of face recognition algorithms by academic and commercial organizations is growing rapidly due to the onset of deep learning and the widespread availability of training data. Though tests of face recognition algorithm performance indicate yearly performance gains, error rates for many of these systems differ based on the demographic composition of the test set. These "demographic differentials&#34","authors":["Howard, John J.","Laird, Eli J.","Sirotin, Yevgeniy B.","Rubin, Rebecca E.","Tipton, Jerry L.","Vemury, Arun R."],"url":"https://arxiv.org/abs/2203.05051","arxiv_id":"2203.05051","published":"2026-09-04"},{"title":"Anisotropic View Distance Metric for High-Dimensional Data: Theory, Geometry, and Fast Computation","abstract":"K-Means clustering algorithm is one of the most commonly used clustering algorithms because of its simplicity and efficiency. K-Means clustering algorithm based on Euclidean distance only pays attention to the linear distance between Euclidean distance is an efficient and interpretable similarity measurement, but its effectiveness may deteriorate in sample spaces with anisotropic structures, redundant features, or co","authors":["Zhang, Yiqun","Li, Hou-biao"],"url":"https://arxiv.org/abs/2206.05215","arxiv_id":"2206.05215","published":"2026-09-04"},{"title":"On the Equality of the ELBO to a Sum of Entropies at Stationary Points of Learning","abstract":"The variational lower bound (a.k.a. ELBO or free energy) is the central objective for many established as well as for many novel algorithms for unsupervised learning. Such algorithms usually increase the bound until parameters have converged to values close to a stationary point of the learning dynamics. Here we show that (for a very large class of generative models) the variational lower bound is at all stationary p","authors":["Lücke, Jörg","Warnken, Jan"],"url":"https://arxiv.org/abs/2209.03077","arxiv_id":"2209.03077","published":"2026-09-04"},{"title":"XInsight: Revealing Model Insights for GNNs with Flow-based Explanations","abstract":"Progress in graph neural networks has grown rapidly in recent years, with many new developments in drug discovery, medical diagnosis, and recommender systems. While this progress is significant, many networks are `black boxes' with little understanding of the `what' exactly the network is learning. Many high-stakes applications, such as drug discovery, require human-intelligible explanations from the models s","authors":["Laird, Eli","Madushanka, Ayesh","Kraka, Elfi","Clark, Corey"],"url":"https://arxiv.org/abs/2306.04791","arxiv_id":"2306.04791","published":"2026-09-04"},{"title":"Data Market Design through Deep Learning","abstract":"The data market design problem is a problem in economic theory to find a set of signaling schemes (statistical experiments) to maximize expected revenue to the information seller, where each experiment reveals some of the information known to a seller and has a corresponding price [Bergemann et al., 2018]. Each buyer has their own decision to make in a world environment, and their subjective expected value for the in","authors":["Ravindranath, Sai Srivatsa","Jiang, Yanchen","Parkes, David C."],"url":"https://arxiv.org/abs/2310.20096","arxiv_id":"2310.20096","published":"2026-09-04"},{"title":"Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review","abstract":"Purpose: Uncertainty Quantification (UQ) has gained traction in an attempt to improve the interpretability and robustness of machine learning predictions. Specifically (medical) biosignals such as electroencephalography (EEG), electrocardiography (ECG), electrooculography (EOG), and electromyography (EMG) could benefit from good UQ, since these suffer from a poor signal-to-noise ratio, and good human interpretability","authors":["de Jong, Ivo Pascal","Sburlea, Andreea Ioana","Valdenegro-Toro, Matias"],"url":"https://arxiv.org/abs/2312.09454","arxiv_id":"2312.09454","published":"2026-09-04"},{"title":"Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay","abstract":"The generalization error curve of certain kernel regression method aims at determining the exact order of generalization error with various source condition, noise level and choice of the regularization parameter rather than the minimax rate. In this work, under mild assumptions, we rigorously provide a full characterization of the generalization error curves of the kernel gradient descent method (and a large class o","authors":["Li, Yicheng","Gan, Weiye","Shi, Zuoqiang","Lin, Qian"],"url":"https://arxiv.org/abs/2401.01599","arxiv_id":"2401.01599","published":"2026-09-04"},{"title":"Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images","abstract":"Early detection of vision-threatening conditions such as diabetic retinopathy, glaucoma, and age-related macular degeneration depends on retinal fundus image analysis, but manual assessment is slow and expert-dependent. Automated convolutional neural networks classify fundus images accurately yet act as black boxes, and existing retinal vessel segmentation methods lose discriminative power under pathology and seldom ","authors":["Faria, Fatema Tuj Johora","Moin, Mukaffi Bin","Debnath, Pronay","Fahim, Asif Iftekher","Shah, Faisal Muhammad"],"url":"https://arxiv.org/abs/2405.07338","arxiv_id":"2405.07338","published":"2026-09-04"},{"title":"Grammar-Aligned Decoding","abstract":"Large Language Models (LLMs) struggle with reliably generating highly structured outputs, such as program code, mathematical formulas, or well-formed markup. Constrained decoding approaches mitigate this problem by greedily restricting what tokens an LLM can output at each step to guarantee that the output matches a given constraint. Specifically, in grammar-constrained decoding (GCD), the LLM's output must follo","authors":["Park, Kanghee","Wang, Jiayu","Berg-Kirkpatrick, Taylor","Polikarpova, Nadia","D'Antoni, Loris"],"url":"https://arxiv.org/abs/2405.21047","arxiv_id":"2405.21047","published":"2026-09-04"},{"title":"Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading","abstract":"Transformers and large language models~(LLMs) have seen rapid adoption in all domains. Their sizes have exploded to hundreds of billions of parameters and keep increasing. Under these circumstances, the training of transformers is very expensive and often hits a ``memory wall'', i.e., even when using 3D parallelism (pipeline, tensor, data) and aggregating the memory of many GPUs, it is still not enough to hol","authors":["Maurya, Avinash","Ye, Jie","Rafique, M. Mustafa","Cappello, Franck","Nicolae, Bogdan"],"url":"https://arxiv.org/abs/2410.21316","arxiv_id":"2410.21316","published":"2026-09-04"},{"title":"A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications","abstract":"Background. Federated learning (FL) has gained wide popularity as a collaborative learning paradigm enabling collaborative AI in sensitive healthcare applications. Nevertheless, the practical implementation of FL presents technical and organizational challenges, as it generally requires complex communication infrastructures. In this context, consensus-based learning (CBL) may represent a promising collaborative learn","authors":["Cremonesi, Francesco","Innocenti, Lucia","Ourselin, Sebastien","Goh, Vicky","Antonelli, Michela","Lorenzi, Marco"],"url":"https://arxiv.org/abs/2412.06494","arxiv_id":"2412.06494","published":"2026-09-04"},{"title":"Detecting Conversational Mental Manipulation with Intent-Aware Prompting","abstract":"Mental manipulation severely undermines mental wellness by covertly and negatively distorting decision-making. While there is an increasing interest in mental health care within the natural language processing community, progress in tackling manipulation remains limited due to the complexity of detecting subtle, covert tactics in conversations. In this paper, we propose Intent-Aware Prompting (IAP), a novel approach ","authors":["Ma, Jiayuan","Na, Hongbin","Wang, Zimu","Hua, Yining","Liu, Yue","Wang, Wei"],"url":"https://arxiv.org/abs/2412.08414","arxiv_id":"2412.08414","published":"2026-09-04"},{"title":"LDC: Learning to Generate Research Idea with Dynamic Control","abstract":"Recent advancements in large language models (LLMs) have demonstrated their potential in automating the scientific research ideation. Existing approaches primarily focus on prompting techniques, often producing ideas misaligned with expert standards - novelty, feasibility, and effectiveness, which are widely recognized by the research community as the three key subdimensions of high-quality ideas. Also, balancing the","authors":["Li, Ruochen","Jing, Liqiang","Han, Chi","Zhou, Jiawei","Du, Xinya"],"url":"https://arxiv.org/abs/2412.14626","arxiv_id":"2412.14626","published":"2026-09-04"},{"title":"Modeling Autonomous Shifts Between Focus State and Mind-Wandering Using a Predictive-Coding-Inspired Variational RNN Model","abstract":"The current study investigates possible neural mechanisms underling autonomous shifts between focus state and mind-wandering by conducting model simulation experiments. On this purpose, we modeled perception processes of continuous sensory sequences using our previous proposed variational RNN model which was developed based on the free energy principle. The current study extended this model by introducing an adaptati","authors":["Oyama, Henrique","Tani, Jun"],"url":"https://arxiv.org/abs/2412.15620","arxiv_id":"2412.15620","published":"2026-09-04"},{"title":"AgentRM: Enhancing Agent Generalization with Reward Modeling","abstract":"Existing LLM-based agents have achieved strong performance on held-in tasks, but their generalizability to unseen tasks remains poor. Hence, some recent work focus on fine-tuning the policy model with more diverse tasks to improve the generalizability. In this work, we find that finetuning a reward model to guide the policy model is more robust than directly finetuning the policy model. Based on this finding, we prop","authors":["Xia, Yu","Fan, Jingru","Chen, Weize","Yan, Siyu","Cong, Xin","Zhang, Zhong"],"url":"https://arxiv.org/abs/2502.18407","arxiv_id":"2502.18407","published":"2026-09-04"},{"title":"Reward Shaping to Mitigate Reward Hacking in RLHF","abstract":"Reinforcement learning from human feedback (RLHF) is widely used to align large language models (LLMs) with human preferences. However, RLHF remains vulnerable to \\emph{reward hacking}, whereby a policy exploits imperfections in the reward function instead of learning the intended behavior, thereby undermining alignment. Although reward shaping can stabilize RLHF training and partially mitigate reward hacking, shapin","authors":["Fu, Jiayi","Zhao, Xuandong","Yao, Chengyuan","Han, Qi","Wang, Yuxia"],"url":"https://arxiv.org/abs/2502.18770","arxiv_id":"2502.18770","published":"2026-09-04"},{"title":"LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models","abstract":"Text-Attributed Graphs (TAGs), where each node is associated with text descriptions, are ubiquitous in real-world scenarios. They typically exhibit distinctive structure and domain-specific knowledge, motivating the development of a Graph Foundation Model (GFM) that generalizes across diverse graphs and tasks. Despite large efforts to integrate Large Language Models (LLMs) and Graph Neural Networks (GNNs) for TAGs, e","authors":["Zhu, Xi","Xue, Haochen","Zhao, Ziwei","Xu, Wujiang","Huang, Jingyuan","Guo, Minghao"],"url":"https://arxiv.org/abs/2503.03313","arxiv_id":"2503.03313","published":"2026-09-04"},{"title":"ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects","abstract":"Automatic visual inspection using machine learning plays a key role in achieving zero-defect policies in industry. Research on anomaly detection is constrained by the availability of datasets that capture complex defect appearances and imperfect imaging conditions, which are typical of production processes. Recent benchmarks indicate that most publicly available datasets are biased towards optimal imaging conditions,","authors":["Krassnig, Paul J.","Gruber, Dieter P."],"url":"https://arxiv.org/abs/2503.04997","arxiv_id":"2503.04997","published":"2026-09-04"},{"title":"Learning Constraints-Based Adaptive Hypergraph Neural Networks for Solving Vehicle Routing Problems","abstract":"The application of learning based methods to vehicle routing problems has emerged as a pivotal area of research in combinatorial optimization. These problems are characterized by vast solution spaces and intricate constraints, making traditional approaches such as exact mathematical models or heuristic methods prone to high computational overhead or reliant on the design of complex heuristic operators to achieve opti","authors":["Wang, Zhenwei","Zhang, Tiehua","Liu, Jing","Yu, Heng","Huang, Kaizhu","Bai, Ruibin"],"url":"https://arxiv.org/abs/2503.10421","arxiv_id":"2503.10421","published":"2026-09-04"},{"title":"Bayesian Network Structural Consensus via Greedy Min-Cut Analysis","abstract":"This paper presents the Min-Cut Bayesian Network Consensus (MCBNC) algorithm, a greedy method for structural consensus of Bayesian Networks (BNs), with applications in federated learning and model aggregation. MCBNC prunes weak edges from an initial unrestricted fusion using a structural score based on min-cut analysis, integrated into a modified Backward Equivalence Search (BES) phase of the Greedy Equivalence Searc","authors":["Torrijos, Pablo","Puerta, José M.","Aledo, Juan A.","Gámez, José A."],"url":"https://arxiv.org/abs/2504.00467","arxiv_id":"2504.00467","published":"2026-09-04"},{"title":"Semiparametric Inference for Counterfactual Regression under Intervention-Driven Shift","abstract":"We study counterfactual regression, which maps features to outcomes under hypothetical scenarios that differ from those observed in the data. This problem is central to decision-making under distribution shift, where treatment patterns may change at deployment. We develop a semiparametric framework for counterfactual regression along a prespecified incremental-intervention path. The target is a finite-dimensional con","authors":["Kim, Kwangho"],"url":"https://arxiv.org/abs/2504.02694","arxiv_id":"2504.02694","published":"2026-09-04"},{"title":"UST-GNN: A Unified Spatial--Topological Graph Neural Network Framework for Urban Analytics--Demonstrated through a Case Study on Urban Health Prediction","abstract":"Understanding how social, demographic, environmental, and spatial factors jointly shape urban outcomes is essential for sustainable urban development and evidence-based policy. Traditional statistical approaches often struggle to capture complex non-linear relationships, while many machine learning methods overlook the joint roles of spatial autocorrelation and network topology in urban systems. Recent advances in Ge","authors":["Zhao, Minwei","Scepanovic, Sanja","Law, Stephen","Obadic, Ivica","Wu, Cai","Quercia, Daniele"],"url":"https://arxiv.org/abs/2504.04739","arxiv_id":"2504.04739","published":"2026-09-04"},{"title":"Behavior of prediction performance metrics with rare events","abstract":"Objective: Area under the receiving operator characteristic curve (AUC) is commonly reported alongside prediction models for binary outcomes. Recent articles have raised concerns that AUC might be a misleading measure of prediction performance in the rare event setting. This setting is common since many events of clinical importance are rare. We aimed to determine whether the bias and variance of AUC are driven by th","authors":["Minus, Emily","Coley, R. Yates","Shortreed, Susan M.","Williamson, Brian D."],"url":"https://arxiv.org/abs/2504.16185","arxiv_id":"2504.16185","published":"2026-09-04"},{"title":"Sionna RT: Technical Report","abstract":"Sionna is an open-source, GPU-accelerated library that, as of version 0.14, incorporates a ray tracer, Sionna RT, for simulating radio wave propagation. A unique feature of Sionna RT is differentiability, enabling the calculation of gradients for the channel impulse responses (CIRs), radio maps, and other related metrics with respect to system and environmental parameters, such as material properties, antenna pattern","authors":["Aoudia, Fayçal Aït","Hoydis, Jakob","Nimier-David, Merlin","Nicolet, Baptiste","Cammerer, Sebastian","Keller, Alexander"],"url":"https://arxiv.org/abs/2504.21719","arxiv_id":"2504.21719","published":"2026-09-04"}],"history":{"events":[{"year":2010,"text":"A magnitude-7.1 earthquake (damage pictured) struck the Canterbury Region of New Zealand, causing two deaths and up to NZ$40 billion in damages.","url":"https://en.wikipedia.org/wiki/2010_Canterbury_earthquake"},{"year":2007,"text":"Three terrorists suspected to be part of al-Qaeda were arrested in Germany after planning attacks on Frankfurt Airport and Ramstein Air Base.","url":"https://en.wikipedia.org/wiki/Al-Qaeda"},{"year":1995,"text":"Three U.S. servicemen stationed at Camp Hansen in Okinawa, Japan, raped a 12-year-old girl, after kidnapping, beating, and torturing her.","url":"https://en.wikipedia.org/wiki/Camp_Hansen"},{"year":1977,"text":"The Golden Dragon massacre occurred in Chinatown, San Francisco, United States, leaving five people dead and spurring police to end Chinese gang violence in the city.","url":"https://en.wikipedia.org/wiki/Golden_Dragon_massacre"},{"year":1957,"text":"Governor Orval Faubus deployed the Arkansas National Guard to prevent nine African-American students from attending Little Rock Central High School (pictured).","url":"https://en.wikipedia.org/wiki/Orval_Faubus"},{"year":1955,"text":"A white U.S. soldier raped and murdered a five-year-old local girl in Kadena, Okinawa.","url":"https://en.wikipedia.org/wiki/Yumiko-chan_incident"},{"year":1934,"text":"Evelyn Waugh's novel A Handful of Dust was first published in full.","url":"https://en.wikipedia.org/wiki/Evelyn_Waugh"},{"year":1920,"text":"Peasants in and around Križ began a rebellion to protest economic and conscription policies enacted by the Kingdom of Serbs, Croats and Slovenes.","url":"https://en.wikipedia.org/wiki/Kri%C5%BE%2C_Zagreb_County"},{"year":1912,"text":"The Albanian revolt ended when the Ottoman government agreed to meet most of the rebels' demands.","url":"https://en.wikipedia.org/wiki/Albanian_revolt_of_1912"},{"year":1886,"text":"After more than 25 years of fighting against the United States Army and the armed forces of Mexico, Geronimo of the Chiricahua Apache surrendered at Skeleton Canyon in Arizona.","url":"https://en.wikipedia.org/wiki/United_States_Army"},{"year":1843,"text":"The state wedding of Teresa Cristina of the Two Sicilies and Emperor Pedro II of Brazil took place at the Cathedral of Rio de Janeiro.","url":"https://en.wikipedia.org/wiki/Teresa_Cristina_of_the_Two_Sicilies"},{"year":1839,"text":"First Opium War: British vessels opened fire on Chinese war junks enforcing a food sales embargo on the British community on the Kowloon Peninsula.","url":"https://en.wikipedia.org/wiki/First_Opium_War"},{"year":1813,"text":"Future US President Andrew Jackson was shot and severely injured in a tavern brawl with future US Senator Thomas Hart Benton.","url":"https://en.wikipedia.org/wiki/Andrew_Jackson"},{"year":1800,"text":"French Revolutionary Wars: Facing starvation and a death rate of 100 soldiers per day, the French garrison in Malta surrendered to British forces, ending a two-year siege.","url":"https://en.wikipedia.org/wiki/French_Revolutionary_Wars"},{"year":1666,"text":"The most destructive damage from the Great Fire of London (depicted) occurred.","url":"https://en.wikipedia.org/wiki/Great_Fire_of_London"},{"year":476,"text":"Germanic leader Odoacer captured Ravenna and deposed Emperor Romulus Augustus, marking the fall of the Western Roman Empire.","url":"https://en.wikipedia.org/wiki/Germanic_peoples"}],"births":[{"year":2001,"text":"Talitha Bateman, American actress","url":"https://en.wikipedia.org/wiki/Talitha_Bateman"},{"year":2000,"text":"Sergio Gómez, Spanish footballer","url":"https://en.wikipedia.org/wiki/Sergio_G%C3%B3mez_(footballer%2C_born_2000)"},{"year":1998,"text":"Neru Nagahama, Japanese television personality","url":"https://en.wikipedia.org/wiki/Neru_Nagahama"},{"year":1996,"text":"Ashton Golding, English rugby league player","url":"https://en.wikipedia.org/wiki/Ashton_Golding"},{"year":1996,"text":"Jordan Lilley, English rugby league player","url":"https://en.wikipedia.org/wiki/Jordan_Lilley"},{"year":1995,"text":"Jazz Tevaga, New Zealand rugby league player","url":"https://en.wikipedia.org/wiki/Jazz_Tevaga"},{"year":1994,"text":"Kenny McEvoy, Irish footballer","url":"https://en.wikipedia.org/wiki/Kenny_McEvoy"},{"year":1994,"text":"Thomas Minns, English rugby player","url":"https://en.wikipedia.org/wiki/Thomas_Minns"}],"deaths":[{"year":2025,"text":"Giorgio Armani, Italian fashion designer (born 1934)","url":"https://en.wikipedia.org/wiki/Giorgio_Armani"},{"year":2025,"text":"Katharine, Duchess of Kent, member of the British royal family (born 1933)","url":"https://en.wikipedia.org/wiki/Katharine%2C_Duchess_of_Kent"},{"year":2024,"text":"Bora Đorđević, Serbian singer (born 1952)","url":"https://en.wikipedia.org/wiki/Bora_%C4%90or%C4%91evi%C4%87"},{"year":2023,"text":"Steve Harwell, American singer (born 1967)","url":"https://en.wikipedia.org/wiki/Steve_Harwell"},{"year":2022,"text":"Cyrus Mistry, Indian-Irish businessman (born 1968)","url":"https://en.wikipedia.org/wiki/Cyrus_Mistry"},{"year":2022,"text":"Peter Straub, American novelist (born 1943)","url":"https://en.wikipedia.org/wiki/Peter_Straub"},{"year":2021,"text":"Tunch Ilkin, Turkish-American football player (born 1957)","url":"https://en.wikipedia.org/wiki/Tunch_Ilkin"},{"year":2021,"text":"Willard Scott, American weather presenter and television personality (born 1934)","url":"https://en.wikipedia.org/wiki/Willard_Scott"}]},"census":{"panel_version":2,"probed":14770,"error_rate":32.69,"degraded":false,"rates":{"head":11.7,"tail":4.3,"ai_native":75.45}},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","license":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","license":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"license":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}