{"date":"2026-08-14","schema_version":1,"captured_at":"2026-08-25T23:19:49.821Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":12},"attention":[{"title":"Prichard Colón","views":260731,"rank":4,"extract":"Prichard Colón Meléndez was a Puerto Rican professional boxer, honorary WBC World Champion, and gold medal winner at the 2010 Pan American Youth Championship in the 64 kg category. After a 2015 match with Terrel Williams, in which he was repeatedly struck in t","url":"https://en.wikipedia.org/wiki/Prichard_Col%C3%B3n","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/a/ac/Prichard_Colon.jpg/330px-Prichard_Colon.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Spider-Man: Brand New Day","views":230600,"rank":5,"extract":"Spider-Man: Brand New Day is a 2026 American superhero film based on the Marvel Comics character Spider-Man. 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Services","points":177,"comments":135,"url":"https://xn--gckvb8fzb.com/the-temu-fication-of-software-digital-goods-services/","discussion":"https://news.ycombinator.com/item?id=49297637"}],"research":[{"title":"Like Article, Like Audience: Enforcing Multimodal Correlations for Disinformation Detection","abstract":"User-generated content (e.g., tweets and profile descriptions) and shared content between users (e.g., news articles) reflect a user's online identity. This paper investigates whether correlations between user-generated and user-shared content can be leveraged for detecting disinformation in online news articles. We develop a multimodal learning algorithm for disinformation detection. The latent representations o","authors":["Allein, Liesbeth","Moens, Marie-Francine","Perrotta, Domenico"],"url":"https://arxiv.org/abs/2108.13892","arxiv_id":"2108.13892","published":"2026-08-14"},{"title":"Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods","abstract":"We study stochastic Cubic Newton methods for solving general possibly non-convex minimization problems. We propose a new framework, which we call the helper framework, that provides a unified view of the stochastic and variance-reduced second-order algorithms equipped with global complexity guarantees. It can also be applied to learning with auxiliary information. Our helper framework offers the algorithm designer hi","authors":["Chayti, El Mahdi","Doikov, Nikita","Jaggi, Martin"],"url":"https://arxiv.org/abs/2302.11962","arxiv_id":"2302.11962","published":"2026-08-14"},{"title":"Interpretable ODE-style Generative Diffusion Model via Force Field Construction","abstract":"For a considerable time, researchers have focused on developing a method that establishes a deep connection between the generative diffusion model and mathematical physics. Despite previous efforts, progress has been limited to the pursuit of a single specialized method. In order to advance the interpretability of diffusion models and explore new research directions, it is essential to establish a unified ODE-style g","authors":["Jin, Weiyang","Zhu, Yongpei","Peng, Yuxi"],"url":"https://arxiv.org/abs/2303.08063","arxiv_id":"2303.08063","published":"2026-08-14"},{"title":"Revolutionizing Finance with LLMs: An Overview of Applications and Insights","abstract":"In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer architecture, these models are trained on extensive datasets, enabling them to understand and generate human language effectively. In the financial domain, the deployment of LLMs is gaining momentum. These models are being utilized for automating financial re","authors":["Zhao, Huaqin","Liu, Zhengliang","Wu, Zihao","Li, Yiwei","Yang, Tianze","Shu, Peng"],"url":"https://arxiv.org/abs/2401.11641","arxiv_id":"2401.11641","published":"2026-08-14"},{"title":"Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy","abstract":"The United States Food and Drug Administration's (FDA's) 510(k) pathway allows manufacturers to gain medical device approval by demonstrating substantial equivalence to a legally marketed device. However, the inherent ambiguity of this regulatory procedure has been associated with high recall among many devices cleared through this pathway, raising significant safety concerns. In this paper, we develop a comb","authors":["Zhalechian, Mohammad","Saghafian, Soroush","Robles, Omar"],"url":"https://arxiv.org/abs/2407.11823","arxiv_id":"2407.11823","published":"2026-08-14"},{"title":"Langevin dynamics for high-dimensional optimization: the case of multi-spiked tensor PCA","abstract":"We study nonconvex optimization in high dimensions through Langevin dynamics, focusing on the multi-spiked tensor PCA problem. In this tensor estimation model, the goal is to recover a finite number of hidden signal vectors, or spikes, from noisy Gaussian tensor observations using maximum likelihood estimation. We characterize the number of samples required for Langevin dynamics to efficiently recover the spikes and ","authors":["Arous, Gérard Ben","Gerbelot, Cédric","Piccolo, Vanessa"],"url":"https://arxiv.org/abs/2408.06401","arxiv_id":"2408.06401","published":"2026-08-14"},{"title":"SelfDRSC++: Self-Supervised Dual Reversed Rolling Shutter Correction via Video Interpolation","abstract":"Modern consumer cameras often use rolling shutter, capturing scenes row-by-row and causing distortion in dynamic scenes. Existing correction methods rely on supervised learning with high-frame-rate global shutter images as ground truth. We propose SelfDRSC++, a self-supervised framework for RS distortion correction {from simultaneously captured top-to-bottom and bottom-to-top RS images}. A lightweight network with a ","authors":["Shang, Wei","Ren, Dongwei","Zhang, Wanying","Wang, Qilong","Zhu, Pengfei","Zuo, Wangmeng"],"url":"https://arxiv.org/abs/2408.11411","arxiv_id":"2408.11411","published":"2026-08-14"},{"title":"A New First-Order Meta-Learning Algorithm with Convergence Guarantees","abstract":"Learning new tasks by leveraging prior experience is a fundamental trait of intelligent systems. While Model-Agnostic Meta-Learning (MAML) is a leading approach, it suffers from significant computational and memory overhead due to the requirement of computing second-order meta-gradients. We propose \\textbf{FO-B-MAML}, a novel first-order variant of MAML derived from a bi-level optimization perspective. Our framework ","authors":["Chayti, El Mahdi","Jaggi, Martin"],"url":"https://arxiv.org/abs/2409.03682","arxiv_id":"2409.03682","published":"2026-08-14"},{"title":"The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot","abstract":"Generative artificial intelligence (AI) facilitates content production and enhances ideation, with potentially important implications for developer productivity and participation in software development. To explore its impact on collaborative open-source software (OSS) development, we investigate the role of GitHub Copilot, a generative AI pair programmer, in OSS development where multiple distributed developers volu","authors":["Song, Fangchen","Agarwal, Ashish","Wen, Wen"],"url":"https://arxiv.org/abs/2410.02091","arxiv_id":"2410.02091","published":"2026-08-14"},{"title":"Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries","abstract":"To evaluate a multi-representational framework in which large language model (LLM)-generated expert summaries of intensive care unit (ICU) notes are fused with physiology for in-hospital mortality (IHM) prediction, and to determine how much of the resulting gain is non-redundant with the notes themselves. Using MIMIC-III (19,211 first ICU stays, 12.83% mortality), we encoded 48-hour physiology, clinical notes, and LL","authors":["Battula, Harshavardhan","Liu, Jiacheng","Srivastava, Jaideep"],"url":"https://arxiv.org/abs/2411.16818","arxiv_id":"2411.16818","published":"2026-08-14"},{"title":"MatchMiner-AI: Open-source, Privacy-preserving Cancer Clinical Trial Matching using Artificial Intelligence","abstract":"Background: Clinical trials are essential to advancing cancer treatments, but fewer than 10% of adults with cancer enroll in therapeutic trials. Open-source AI trial matching tools could democratize access to trial options. Methods: We created MatchMiner-AI, co-developed with practicing clinical oncologists and trained on synthetic electronic health record (EHR) data. It uses open-weight LLMs to summarize patient his","authors":["Altreuter, Jennifer","Trukhanov, Pavel","Paul, Morgan A.","Hassett, Michael J.","Riaz, Irbaz B.","Afzal, Muhammad Umar"],"url":"https://arxiv.org/abs/2412.17228","arxiv_id":"2412.17228","published":"2026-08-14"},{"title":""Cause" is Mechanistic Narrative within Scientific Domains: An Ordinary Language Philosophical Critique of "Causal Machine Learning"","abstract":"Causal Learning has emerged as a major theme of research in statistics and machine learning in recent years, promising computational techniques to reveal ``true'' causality. In this paper, we critique the premise of causal learning by considering the epistemology of causality across disciplines, applying the Ordinary Language method of an anthropological investigation of customary word use in reasoning about ","authors":["Kungurtsev, Vyacheslav","Moore, Leonardo Christov","Sir, Gustav","Krutsky, Martin"],"url":"https://arxiv.org/abs/2501.05844","arxiv_id":"2501.05844","published":"2026-08-14"},{"title":"Cueless EEG imagined speech for subject identification: dataset and benchmarks","abstract":"Electroencephalogram (EEG) signals have emerged as a promising modality for biometric identification. While previous studies have explored the use of imagined speech with semantically meaningful words for subject identification, most have relied on additional visual or auditory cues. In this study, we introduce a cueless EEG-based imagined speech paradigm, where subjects imagine the pronunciation of semantically mean","authors":["Derakhshesh, Ali","Dehghanian, Zahra","Ebrahimpour, Reza","Rabiee, Hamid R."],"url":"https://arxiv.org/abs/2501.09700","arxiv_id":"2501.09700","published":"2026-08-14"},{"title":"Unmasking Conversational Bias in AI Multiagent Systems","abstract":"Detecting biases in the outputs produced by generative models is essential to reduce the potential risks associated with their application in critical settings. However, the majority of existing methodologies for identifying biases in generated text consider the models in isolation and neglect their contextual applications. Specifically, the biases that may arise in multi-agent systems involving generative models rem","authors":["Coppolillo, Erica","Manco, Giuseppe","Aiello, Luca Maria"],"url":"https://arxiv.org/abs/2501.14844","arxiv_id":"2501.14844","published":"2026-08-14"},{"title":"Optimizing Likelihoods via Mutual Information: Bridging Simulation-Based Inference and Bayesian Optimal Experimental Design","abstract":"Simulation-based inference (SBI) is a method to perform inference on a variety of complex scientific models with challenging inference (inverse) problems. Bayesian Optimal Experimental Design (BOED) aims to efficiently use experimental resources to make better inferences. Various stochastic gradient-based BOED methods have been proposed as an alternative to Bayesian optimization and other experimental design heuristi","authors":["Zaballa, Vincent D.","Hui, Elliot E."],"url":"https://arxiv.org/abs/2502.08004","arxiv_id":"2502.08004","published":"2026-08-14"},{"title":"Regularization can make diffusion models more efficient","abstract":"Diffusion models are one of the key architectures of generative AI. Their main drawback, however, is the computational costs. This study indicates that the concept of sparsity, well known especially in statistics, can provide a pathway to more efficient diffusion pipelines. Our mathematical guarantees prove that sparsity can reduce the input dimension's influence on the computational complexity to that of a much ","authors":["Taheri, Mahsa","Lederer, Johannes"],"url":"https://arxiv.org/abs/2502.09151","arxiv_id":"2502.09151","published":"2026-08-14"},{"title":"Yes, Q-learning Helps Offline In-Context RL","abstract":"Existing offline in-context reinforcement learning (ICRL) methods have predominantly relied on supervised training objectives, which are known to have limitations in offline RL settings. In this study, we explore the integration of RL objectives within an offline ICRL framework. Through experiments on more than 150 GridWorld and MuJoCo environment-derived datasets, we demonstrate that optimizing RL objectives directl","authors":["Tarasov, Denis","Nikulin, Alexander","Zisman, Ilya","Klepach, Albina","Polubarov, Andrei","Lyubaykin, Nikita"],"url":"https://arxiv.org/abs/2502.17666","arxiv_id":"2502.17666","published":"2026-08-14"},{"title":"Linguistic Comparison of AI- and Human-Written Responses to Online Mental Health Queries","abstract":"The ubiquity and widespread use of digital and online technologies have transformed mental health support, with online mental health communities (OMHCs) providing safe spaces for peer support. More recently, generative AI and large language models (LLMs) have introduced new possibilities for scalable, around-the-clock mental health assistance that could potentially augment and supplement the capabilities of OMHCs. Al","authors":["Saha, Koustuv","Jain, Yoshee","Rodriguez, Violeta J.","De Choudhury, Munmun"],"url":"https://arxiv.org/abs/2504.09271","arxiv_id":"2504.09271","published":"2026-08-14"},{"title":"Multiview Representation Learning via Distributed Joint Latent Space Structuring","abstract":"We study distributed multiview representation learning, a problem in which $K$ clients each observe a distinct but possibly statistically correlated view. The clients independently extract local representations from their views, which are then used by a central decoder for joint target estimation. One central difficulty is that, since the clients are not allowed to communicate with each other, they must autonomously ","authors":["Sefidgaran, Milad","Krasnowski, Piotr","Zaidi, Abdellatif"],"url":"https://arxiv.org/abs/2504.18455","arxiv_id":"2504.18455","published":"2026-08-14"},{"title":"Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance","abstract":"Retinal image registration, particularly for color fundus images, is a challenging yet essential task with diverse clinical applications. Existing registration methods for color fundus images typically rely on keypoints and descriptors for alignment; however, a significant limitation is their reliance on labeled data, which is particularly scarce in the medical domain. In this work, we present a novel unsupervised re","authors":["Rivas-Villar, David","Hervella, Álvaro S.","Rouco, José","Novo, Jorge"],"url":"https://arxiv.org/abs/2505.02779","arxiv_id":"2505.02779","published":"2026-08-14"},{"title":"Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration","abstract":"Current color fundus image registration approaches are limited, among other things, by the lack of labeled data, which is even more significant in the medical domain, motivating the use of unsupervised learning. Therefore, in this work, we develop a novel unsupervised descriptor learning method that does not rely on keypoint detection. This enables the resulting descriptor network to be agnostic to the keypoint detec","authors":["Rivas-Villar, David","Hervella, Álvaro S.","Rouco, José","Novo, Jorge"],"url":"https://arxiv.org/abs/2505.02787","arxiv_id":"2505.02787","published":"2026-08-14"},{"title":"Foam-Agent: A Large Language Model-Based Multi-Agent Framework for Automating Computational Fluid Dynamics Workflows","abstract":"Computational fluid dynamics (CFD) has been the main workhorse of computational physics, yet its steep learning curve and fragmented, multi-stage workflow create significant barriers to entry. We present Foam-Agent, a multi-agent framework that leverages large language models (LLMs) to automate the end-to-end CFD workflow in OpenFOAM from a single natural-language prompt. Foam-Agent rests on three methodological cont","authors":["Yue, Ling","Somasekharan, Nithin","Zhang, Tingwen","Cao, Yadi","Chen, Zhangze","Di, Shimin"],"url":"https://arxiv.org/abs/2505.04997","arxiv_id":"2505.04997","published":"2026-08-14"},{"title":"When Large Language Models are More PersuasiveThan Incentivized Humans, and Why","abstract":"Large Language Models (LLMs) have been shown to be highly persuasive, but when and why they outperform humans is still an open question. We compare the persuasiveness of two LLMs (Claude 3.5 Sonnet and DeepSeek v3) against humans who had incentives to persuade, using an interactive, real-time conversational setting. We demonstrate that LLMs persuasive superiority is context-dependent: it depends on whether the persua","authors":["Liu, Jiacheng","Salvi, Francesco","Schoenegger, Philipp","Nan, Xiaoli","Debnath, Ramit","Fasolo, Barbara"],"url":"https://arxiv.org/abs/2505.09662","arxiv_id":"2505.09662","published":"2026-08-14"},{"title":"Exploring Sparsity for Parameter Efficient Fine Tuning Using Wavelets for Vision","abstract":"Efficiently adapting large pretrained models is critical under tight compute and memory budgets. While Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA achieve efficiency through low-rank updates, their discrete rank constraint limits fine-grained parameter control and confines adaptations to low-dimensional subspaces. We propose Wavelet Fine-Tuning (WaveFT), which learns sparse updates in the wavelet domain ","authors":["Bilican, Ahmet","Yılmaz, M. Akın","Tekalp, A. Murat","Cinbiş, R. Gökberk"],"url":"https://arxiv.org/abs/2505.12532","arxiv_id":"2505.12532","published":"2026-08-14"},{"title":"Accelerated Markov Chain Monte Carlo Algorithms on Discrete States","abstract":"We propose a class of discrete state sampling algorithms based on Nesterov's accelerated gradient method, which extends the classical Metropolis-Hastings (MH) algorithm. The evolution of the discrete states probability distribution governed by MH can be interpreted as a gradient descent direction of the Kullback--Leibler (KL) divergence, via a mobility function and a score function. Specifically, this gradient is","authors":["Zhou, Bohan","Liu, Shu","Zuo, Xinzhe","Li, Wuchen"],"url":"https://arxiv.org/abs/2505.12599","arxiv_id":"2505.12599","published":"2026-08-14"}],"history":{"events":[{"year":2021,"text":"A magnitude 7.2 earthquake struck in Haiti, killing at least 2,248 people and causing $1.5 billion in damages and economic loss.","url":"https://en.wikipedia.org/wiki/2021_Haiti_earthquake"},{"year":2013,"text":"Security forces raided two camps of supporters of the ousted Egyptian president Mohamed Morsi in Cairo, leading to the deaths of at least 595 civilians.","url":"https://en.wikipedia.org/wiki/Rabaa_massacre"},{"year":2010,"text":"The inaugural edition of the Youth Olympic Games opened in Singapore for athletes aged between 14 and 18.","url":"https://en.wikipedia.org/wiki/2010_Summer_Youth_Olympics"},{"year":2007,"text":"Four coordinated suicide bomb attacks detonated in the Yazidi communities of Qahtaniya and Jazeera, Iraq, killing 796 people and wounding 1,562 others.","url":"https://en.wikipedia.org/wiki/Qahtaniyah_bombings"},{"year":2005,"text":"Helios Airways Flight 522 crashed into a mountain north of Marathon, Greece, killing all 121 people on board.","url":"https://en.wikipedia.org/wiki/Helios_Airways_Flight_522"},{"year":1975,"text":"The Rocky Horror Picture Show premiered in London, the first in its record-breaking run in cinemas, which continues in limited release.","url":"https://en.wikipedia.org/wiki/The_Rocky_Horror_Picture_Show"},{"year":1945,"text":"Kenji Hatanaka (pictured) and other Japanese military officers launched an attempted coup d'état to prevent the surrender of Japan.","url":"https://en.wikipedia.org/wiki/Kenji_Hatanaka"},{"year":1941,"text":"After a secret meeting in Newfoundland, British prime minister Winston Churchill and U.S. president Franklin D. Roosevelt (both pictured) issued the Atlantic Charter, establishing a vision for a post–World War II world.","url":"https://en.wikipedia.org/wiki/Dominion_of_Newfoundland"},{"year":1888,"text":"One of the first recordings of music, of Arthur Sullivan's \"The Lost Chord\", was played at a press conference in London to introduce Thomas Edison's phonograph.","url":"https://en.wikipedia.org/wiki/Arthur_Sullivan"},{"year":1816,"text":"The United Kingdom formally annexed the Tristan da Cunha archipelago, administering the islands from the Cape Colony in South Africa.","url":"https://en.wikipedia.org/wiki/Tristan_da_Cunha"},{"year":1720,"text":"The Spanish Villasur expedition, intended to slow the progress of French influence on the Great Plains of North America, ended in failure when it was ambushed by Pawnee and Otoe forces.","url":"https://en.wikipedia.org/wiki/Villasur_expedition"},{"year":1264,"text":"War of Saint Sabas: A Genoese fleet captured or sank most of the ships of a Venetian trade convoy off the Albanian coast.","url":"https://en.wikipedia.org/wiki/War_of_Saint_Sabas"}],"births":[{"year":2007,"text":"Franco Mastantuono, Argentine footballer","url":"https://en.wikipedia.org/wiki/Franco_Mastantuono"},{"year":2004,"text":"Marsai Martin, American actress and producer","url":"https://en.wikipedia.org/wiki/Marsai_Martin"},{"year":2000,"text":"Johan Rojas, Dominican baseball player","url":"https://en.wikipedia.org/wiki/Johan_Rojas"},{"year":1998,"text":"Doechii, American rapper","url":"https://en.wikipedia.org/wiki/Doechii"},{"year":1997,"text":"Greet Minnen, Belgian tennis player","url":"https://en.wikipedia.org/wiki/Greet_Minnen"},{"year":1995,"text":"Léolia Jeanjean, French tennis player","url":"https://en.wikipedia.org/wiki/L%C3%A9olia_Jeanjean"},{"year":1994,"text":"Maya Jama, British TV presenter.","url":"https://en.wikipedia.org/wiki/Maya_Jama"},{"year":1991,"text":"Richard Freitag, German ski jumper","url":"https://en.wikipedia.org/wiki/Richard_Freitag"}],"deaths":[{"year":2025,"text":"Mike Castle, American politician, 69th Governor of Delaware (born 1939)","url":"https://en.wikipedia.org/wiki/Mike_Castle"},{"year":2024,"text":"Gena Rowlands, American actress (born 1930)","url":"https://en.wikipedia.org/wiki/Gena_Rowlands"},{"year":2023,"text":"Delwar Hossain Sayeedi, Bangladeshi Islamic lecturer, politician (born 1940)","url":"https://en.wikipedia.org/wiki/Delwar_Hossain_Sayeedi"},{"year":2021,"text":"Michael Aung-Thwin, American historian and scholar of Burmese and Southeast Asian history (born 1946)","url":"https://en.wikipedia.org/wiki/Michael_Aung-Thwin"},{"year":2020,"text":"Julian Bream, English classical guitarist and lutenist (born 1933)","url":"https://en.wikipedia.org/wiki/Julian_Bream"},{"year":2020,"text":"Angela Buxton, British tennis player (born 1934)","url":"https://en.wikipedia.org/wiki/Angela_Buxton"},{"year":2020,"text":"James R. Thompson, American politician, Governor of Illinois (born 1936)","url":"https://en.wikipedia.org/wiki/Jim_Thompson_(Illinois_politician)"},{"year":2019,"text":"Polly Farmer, Australian footballer and coach (born 1935)","url":"https://en.wikipedia.org/wiki/Polly_Farmer"}]},"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."}