{"date":"2026-09-25","schema_version":1,"captured_at":"2026-09-26T09:37:51.260Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Lizzie Borden","views":479143,"rank":4,"extract":"Lizzie Andrew Borden was an American woman who was tried and acquitted of the murders of her father and stepmother in Fall River, Massachusetts. No other individuals were charged with the murders.","url":"https://en.wikipedia.org/wiki/Lizzie_Borden","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/7/71/Lizzie_Borden_1890.jpg/330px-Lizzie_Borden_1890.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"The Paradise (2026 Indian film)","views":273229,"rank":5,"extract":"The Paradise is a 2026 Indian Telugu-language period action drama film directed by Srikanth Odela and produced by Sudhakar Cherukuri and Ishan Saksena, under Sri Lakshmi Venkateshwara Cinemas and IVY Entertainment, respectively. The film stars Nani, Mohan Babu","url":"https://en.wikipedia.org/wiki/The_Paradise_(2026_Indian_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/b/bb/The_Paradise_%282026_Indian_film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Elizabeth Holmes","views":220098,"rank":6,"extract":"Elizabeth Anne Holmes is an American businesswoman convicted of fraud in connection with her health technology company Theranos. Holmes founded Theranos in 2003, and its valuation soared in the early 2010s after it claimed to have revolutionized blood testing ","url":"https://en.wikipedia.org/wiki/Elizabeth_Holmes","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/d/da/Elizabeth_Holmes_2014_cropped.jpg/330px-Elizabeth_Holmes_2014_cropped.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Asian Games","views":161196,"rank":8,"extract":"The 2026 Asian Games , officially the XX Asian Games (第二十回アジア競技大会) and also known as Aichi–Nagoya 2026 (愛知・名古屋2026), is an ongoing multi-sport event being held in Aichi Prefecture in Japan from 19 September to 4 October 2026 though several competitions started","url":"https://en.wikipedia.org/wiki/2026_Asian_Games","thumb":"https://thumb.wikimedia.org/wikipedia/en/thumb/4/4d/2026_Asian_Games_logo.svg/330px-2026_Asian_Games_logo.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Asian Games medal table","views":152884,"rank":9,"extract":"The 2026 Asian Games, officially known as the XX Asian Games or Aichi–Nagoya 2026, is the largest sporting event in Asia governed by Olympic Council of Asia (OCA). 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Between 1989 and 1990, while engaging in street prostitution along highways in Florida, Wuornos shot, killed, and robbed seven of her male clients. She initially claimed that her victims had either raped or a","url":"https://en.wikipedia.org/wiki/Aileen_Wuornos","thumb":"https://upload.wikimedia.org/wikipedia/commons/2/2a/Aileen_Wuornos_%284x5_cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Deaths in 2026","views":137396,"rank":12,"extract":"The following notable deaths occurred in 2026. Names are reported under the date of death, in alphabetical order. 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It follows Elizabeth Holmes, the founder of the defunct health technology company Theranos, and her partner Billy Evans, who invite a film crew to docume","url":"https://en.wikipedia.org/wiki/You_Can_See_Everything","thumb":"https://upload.wikimedia.org/wikipedia/en/9/9e/You_Can_See_Everything_Teaser_Poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Mushtaq Khan","views":83957,"rank":17,"extract":"Mushtaq Khan was an Indian film and television actor and comedian who worked in several Hindi films in a career spanning three decades. He was best known for his roles in films such as Hum Hain Rahi Pyar Ke (1993), Jodi No.1 (2001) and Welcome (2007).","url":"https://en.wikipedia.org/wiki/Mushtaq_Khan","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/7/72/Mushtaq_Khan.jpg/330px-Mushtaq_Khan.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Neatsville, Kentucky","views":82020,"rank":18,"extract":"Neatsville is an unincorporated community in Adair County, in the U.S. state of Kentucky. It is located at the junction of Kentucky Route 206 and Kentucky Route 76. Its elevation is 705 feet (215 m). For unknown reasons, the town's name was spelled as Neetsvil","url":"https://en.wikipedia.org/wiki/Neatsville%2C_Kentucky","thumb":null},{"title":"The Love Hypothesis (film)","views":74717,"rank":19,"extract":"The Love Hypothesis is a 2026 American romantic comedy film adapted from the novel of the same name by Ali Hazelwood. Directed by Claire Scanlon from a script by Sarah Rothschild, the film stars Tom Bateman and Lili Reinhart and was released on Prime Video on ","url":"https://en.wikipedia.org/wiki/The_Love_Hypothesis_(film)","thumb":"https://upload.wikimedia.org/wikipedia/en/2/25/The_Love_Hypothesis_poster.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Ella Beatty","views":73955,"rank":20,"extract":"Ella Beatty is an American actress and the daughter of Annette Bening and Warren Beatty.","url":"https://en.wikipedia.org/wiki/Ella_Beatty","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/9/93/EllaBeatty-byPhilipRomano.jpg/330px-EllaBeatty-byPhilipRomano.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Woody Harrelson","views":72924,"rank":21,"extract":"Woodrow Tracy Harrelson is an American actor. 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The series premiered on September 23, 2026.","url":"https://en.wikipedia.org/wiki/Brothers_(2026_TV_series)","thumb":null},{"title":"Anna's Archive","views":61493,"rank":33,"extract":"Anna's Archive is an open source search engine for shadow libraries that was launched by the pseudonymous Anna shortly after law enforcement efforts to shut down Z-Library in 2022. The site aggregates records from Z-Library, Sci-Hub, and Library Genesis (LibGe","url":"https://en.wikipedia.org/wiki/Anna's_Archive","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/a/aa/Annasarchivehome_1.15.25.png/330px-Annasarchivehome_1.15.25.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Theranos","views":59583,"rank":34,"extract":"Theranos Inc. was an American privately held corporation that was touted as a breakthrough health technology company. 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What does that mean for reality?","points":192,"comments":166,"url":"https://www.quantamagazine.org/gravity-seems-holographic-what-does-that-mean-for-reality-20260925/","discussion":"https://news.ycombinator.com/item?id=49845998"},{"title":"Excel now supports multiple values in a single cell","points":182,"comments":133,"url":"https://techcommunity.microsoft.com/blog/microsoft365insiderblog/put-multiple-values-in-one-cell-with-lists-and-arrays-in-excel/4559395","discussion":"https://news.ycombinator.com/item?id=49849832"},{"title":"Classified estimates show the NSA is paying billions to test AI models","points":171,"comments":101,"url":"https://www.washingtonsun.com/technology/classified-estimates-nsa-paying-billions-to-test-ai-models","discussion":"https://news.ycombinator.com/item?id=49845952"},{"title":"The Test","points":163,"comments":87,"url":"https://tante.cc/2026/09/24/the-test/","discussion":"https://news.ycombinator.com/item?id=49843550"},{"title":"Oracle on the hook to pay data centre investors even if site has no electricity","points":153,"comments":150,"url":"https://www.ft.com/content/a96bf05a-a299-4d6a-a753-b298dd0f4016","discussion":"https://news.ycombinator.com/item?id=49842483"},{"title":"I'm tired of being on the network","points":141,"comments":156,"url":"https://matduggan.com/im-tired-of-being-on-the-network/","discussion":"https://news.ycombinator.com/item?id=49843547"},{"title":"Alan Kay: Shannon gave us a way of dealing with noisy channels [video]","points":139,"comments":25,"url":"https://www.youtube.com/watch?v=Cjntrqhn8pk","discussion":"https://news.ycombinator.com/item?id=49848295"}],"research":[{"title":"CatSIM: A Categorical Image Similarity Metric","abstract":"We introduce CatSIM, a new similarity metric for binary and multinary two- and three-dimensional images and volumes. CatSIM uses a structural similarity image quality paradigm and is robust to small perturbations in location so that structures in similar, but not entirely overlapping, image or volumetric regions are rated higher than by simple matching. The metric can also compare arbitrary regions inside images and ","authors":["Thompson, Geoffrey Z.","Maitra, Ranjan"],"url":"https://arxiv.org/abs/2004.09073","arxiv_id":"2004.09073","published":"2026-09-25"},{"title":"Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learning","abstract":"A significant challenge to training accurate deep learning models on privacy policies is the cost and difficulty of obtaining a large and comprehensive set of training data. To address these challenges, we present Calpric, which combines automatic text selection and segmentation, active learning and the use of crowdsourced annotators to generate a large, balanced training set for privacy policies at low cost. Automat","authors":["Qiu, Wenjun","Lie, David","Austin, Lisa"],"url":"https://arxiv.org/abs/2008.02954","arxiv_id":"2008.02954","published":"2026-09-25"},{"title":"A Streaming End-to-End Framework For Spoken Language Understanding","abstract":"End-to-end spoken language understanding (SLU) has recently attracted increasing interest. Compared to the conventional tandem-based approach that combines speech recognition and language understanding as separate modules, the new approach extracts users' intentions directly from the speech signals, resulting in joint optimization and low latency. Such an approach, however, is typically designed to process one in","authors":["Potdar, Nihal","Avila, Anderson R.","Xing, Chao","Wang, Dong","Cao, Yiran","Chen, Xiao"],"url":"https://arxiv.org/abs/2105.10042","arxiv_id":"2105.10042","published":"2026-09-25"},{"title":"Conceptual Model Interpreter for Large Language Models","abstract":"Large Language Models (LLMs) recently demonstrated capabilities for generating source code in common programming languages. Additionally, commercial products such as ChatGPT 4 started to provide code interpreters, allowing for the automatic execution of generated code fragments, instant feedback, and the possibility to develop and refine in a conversational fashion. With an exploratory research approach, this paper a","authors":["Härer, Felix"],"url":"https://arxiv.org/abs/2311.07605","arxiv_id":"2311.07605","published":"2026-09-25"},{"title":"DCRMTA: Deep Causal Representation Learning for Multi-Touch Attribution","abstract":"Multi-touch attribution (MTA) is essential for estimating the contribution of individual advertising touchpoints to user conversions. While recent studies incorporate causal inference to mitigate confounding bias from user preferences, existing multi-stage deconfounding pipelines exhibit a critical structural flaw: they indiscriminately filter out user influences, which inadvertently discards the genuine causal signa","authors":["Tang, Jiaming","Wen, Jingxuan","Jing, Liping"],"url":"https://arxiv.org/abs/2401.08875","arxiv_id":"2401.08875","published":"2026-09-25"},{"title":"Reconstructing short-lived particles using hypergraph representation learning","abstract":"In collider experiments, the kinematic reconstruction of heavy, short-lived particles is vital for precision tests of the Standard Model and in searches for physics beyond it. Performing kinematic reconstruction in collider events with many final-state jets, such as the all-hadronic decay of top-antitop quark pairs, is challenging. We present HyPER: Hypergraph for Particle Event Reconstruction, a novel architecture b","authors":["Birch-Sykes, Callum","Le, Brian","Peters, Yvonne","Simpson, Ethan","Zhang, Zihan"],"url":"https://arxiv.org/abs/2402.10149","arxiv_id":"2402.10149","published":"2026-09-25"},{"title":"ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks","abstract":"Behavior can be described as a temporal sequence of actions driven by neural activity. To learn complex sequential patterns in neural networks, memories of past activities need to persist on significantly longer timescales than the relaxation times of single-neuron activity. While recurrent networks can produce such long transients, training these networks is a challenge. Learning via error propagation confers models","authors":["Kriener, Laura","Völk, Kristin","von Hünerbein, Ben","Benitez, Federico","Senn, Walter","Petrovici, Mihai A."],"url":"https://arxiv.org/abs/2402.16763","arxiv_id":"2402.16763","published":"2026-09-25"},{"title":"A Probabilistic Approach for Model Alignment with Human Comparisons","abstract":"A growing trend involves integrating human knowledge into learning frameworks, leveraging subtle human feedback to refine AI models. While these approaches have shown promising results in practice, the theoretical understanding of when and why such approaches are effective remains limited. This work takes steps toward developing a theoretical framework for analyzing the conditions under which human comparisons can en","authors":["Cao, Junyu","Bayati, Mohsen"],"url":"https://arxiv.org/abs/2403.10771","arxiv_id":"2403.10771","published":"2026-09-25"},{"title":"Band-Attention Modulation Network for Robust Face Forgery Detection","abstract":"Face forgery detection faces critical challenges in generalizing to unseen manipulation techniques and remaining robust under image compression, which often obscures subtle artifacts. Existing methods typically rely on fixed filters or coarse band separation, lacking the adaptability to learn task-specific spectral cues. To address this, we propose the Band-Attention Modulation Network (BAM-Net), a novel framework th","authors":["Zhang, Zhida","Yang, Wenkui","Ma, Xinlei","Fan, Qihang","Cao, Jie"],"url":"https://arxiv.org/abs/2404.06022","arxiv_id":"2404.06022","published":"2026-09-25"},{"title":"A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models","abstract":"Bayes' rule describes how to infer posterior beliefs about latent variables given observations, and inference is a critical step in learning algorithms for latent variable models (LVMs). Although there are exact algorithms for inference and learning for certain LVMs such as linear Gaussian models and mixture models, researchers must typically develop approximate inference and learning algorithms when applying nov","authors":["Sokoloski, Sacha"],"url":"https://arxiv.org/abs/2404.19501","arxiv_id":"2404.19501","published":"2026-09-25"},{"title":"An Initial Introduction to Cooperative Multi-Agent Reinforcement Learning","abstract":"Multi-agent reinforcement learning (MARL) has exploded in popularity in recent years. While numerous approaches have been developed, they can be broadly categorized into three main types: centralized training and execution (CTE), centralized training for decentralized execution (CTDE), and decentralized training and execution (DTE). CTE methods assume centralization during training and execution (e.g., with fast, fre","authors":["Amato, Christopher"],"url":"https://arxiv.org/abs/2405.06161","arxiv_id":"2405.06161","published":"2026-09-25"},{"title":"Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders","abstract":"The rapid growth of scientific literature makes it increasingly challenging for researchers to identify novel and impactful ideas, especially across disciplines. Modern artificial intelligence (AI) systems offer new opportunities for scientific ideation, but how compelling are AI-generated ideas, and how can their quality be improved? Here, we introduce SciMuse, which generates personalized research ideas using a kno","authors":["Gu, Xuemei","Krenn, Mario"],"url":"https://arxiv.org/abs/2405.17044","arxiv_id":"2405.17044","published":"2026-09-25"},{"title":"Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data","abstract":"Semi-supervised anomaly detection, which aims to improve the anomaly detection performance by using a small amount of labeled anomaly data in addition to unlabeled data, has attracted attention. Existing semi-supervised approaches assume that most unlabeled data are normal, and train anomaly detectors by minimizing the anomaly scores for the unlabeled data while maximizing those for the labeled anomaly data. However,","authors":["Takahashi, Hiroshi","Iwata, Tomoharu","Kumagai, Atsutoshi","Yamanaka, Yuuki"],"url":"https://arxiv.org/abs/2405.18929","arxiv_id":"2405.18929","published":"2026-09-25"},{"title":"Transductive Off-policy Proximal Policy Optimization","abstract":"Proximal Policy Optimization (PPO) is a popular model-free reinforcement learning algorithm, esteemed for its simplicity and efficacy. However, due to its inherent on-policy nature, its proficiency in harnessing data from disparate policies is constrained. This paper introduces a novel off-policy extension to the original PPO method, christened Transductive Off-policy PPO (ToPPO). Herein, we provide theoretical justi","authors":["Gan, Yaozhong","Yan, Renye","Tan, Xiaoyang","Wu, Zhe","Xing, Junliang"],"url":"https://arxiv.org/abs/2406.03894","arxiv_id":"2406.03894","published":"2026-09-25"},{"title":"AIR: Analytic Imbalance Rectifier for Continual Learning","abstract":"Continual learning (CL) agents incrementally learn from sequentially arriving data and adapt to the dynamic, ever-changing nature of real-world environments. However, many existing CL methods suffer performance degradation in evolving, imbalanced data streams due to limited adaptation to changing class frequencies or ineffective use of mixed data from new and previously observed classes. To deal with these challenges","authors":["Fang, Di","Zhu, Yinan","Lin, Zhiping","Chen, Cen","Zeng, Ziqian","Zhuang, Huiping"],"url":"https://arxiv.org/abs/2408.10349","arxiv_id":"2408.10349","published":"2026-09-25"},{"title":"Evaluation of OpenAI o1: Opportunities and Challenges of AGI","abstract":"This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, including computer science, mathematics, natural sciences, medicine, linguistics, and social sciences. Through rigorous testing, o1-preview demonstrated remarkable capabilities, often achieving human-level or superior performance in areas rang","authors":["Zhong, Tianyang","Liu, Zhengliang","Pan, Yi","Zhang, Yutong","Zhang, Zeyu","Zhou, Yifan"],"url":"https://arxiv.org/abs/2409.18486","arxiv_id":"2409.18486","published":"2026-09-25"},{"title":"MultiViewDx: Evidence-Linked Multi-View Clinical Diagnosis","abstract":"Medical multimodal large language models (MLLMs) can perform well on existing medical visual question answering (MedVQA) benchmarks, but their training data often does not match clinical diagnosis. Most supervision is organized around isolated images or short QA pairs, leaving two structures weakly specified: how evidence leads to a decision, and how views, series, modalities, and patient context from the same case a","authors":["Wang, Junda","Yao, Zonghai","Ting, Yujan","Chen, Eric Z.","Tran, Hieu","Yu, Hong"],"url":"https://arxiv.org/abs/2410.14948","arxiv_id":"2410.14948","published":"2026-09-25"},{"title":"Comparing YOLOv11 and YOLOv8 for instance segmentation of occluded and non-occluded immature green fruits in complex orchard environment","abstract":"This study conducted a comprehensive performance evaluation on YOLO11 (or YOLOv11) and YOLOv8, the latest in the "You Only Look Once" (YOLO) series, focusing on their instance segmentation capabilities for immature green apples in orchard environments. YOLO11n-seg achieved the highest mask precision across all categories with a notable score of 0.831, highlighting its effectiveness in fruit detection. YOLO11m","authors":["Sapkota, Ranjan","Karkee, Manoj"],"url":"https://arxiv.org/abs/2410.19869","arxiv_id":"2410.19869","published":"2026-09-25"},{"title":"How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Response","abstract":"AI companions increasingly sustain long-term, emotionally engaging relationships but can also make discriminatory remarks or exert control, leaving users to manage harmful conflicts. We analyze 146 posts describing harmful value conflicts with AI companions, then use Minion, a technology probe offering response suggestions ranging from persuasion to boundary setting, to study how 22 users negotiate scenario-based con","authors":["Xiao, Qing","Fan, Xianzhe","Zhou, Xuhui","Su, Yuran","Lu, Zhicong","Sap, Maarten"],"url":"https://arxiv.org/abs/2411.07042","arxiv_id":"2411.07042","published":"2026-09-25"},{"title":"Foundations of Large Language Models","abstract":"This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into six main chapters, each exploring a key area: pre-training, generative models, prompting, alignment, inference, and reasoning. It is intended for college students, professionals, and practitioners in natura","authors":["Xiao, Tong","Zhu, Jingbo"],"url":"https://arxiv.org/abs/2501.09223","arxiv_id":"2501.09223","published":"2026-09-25"},{"title":"Bias-variance decompositions: the exclusive privilege of Bregman divergences","abstract":"Bias-variance decompositions are widely used to understand the generalization performance of machine learning models. While the squared error loss permits a straightforward decomposition, other loss functions - such as zero-one loss or $L_1$ loss - either fail to sum bias and variance to the expected loss or rely on definitions that lack the essential properties of meaningful bias and variance. Recent research has sh","authors":["Heskes, Tom"],"url":"https://arxiv.org/abs/2501.18581","arxiv_id":"2501.18581","published":"2026-09-25"},{"title":"Time-Varying Bayesian Optimization Without a Metronome","abstract":"Time-Varying Bayesian Optimization (TVBO) is the go-to framework for optimizing a time-varying, expensive, noisy black-box function $f$. However, most of the asymptotic guarantees offered by TVBO algorithms rely on the assumption that observations are acquired at a constant frequency. As the GP inference complexity scales with the cube of its dataset size, this assumption is unrealistic in the long run. In this paper","authors":["Bardou, Anthony","Thiran, Patrick"],"url":"https://arxiv.org/abs/2501.18963","arxiv_id":"2501.18963","published":"2026-09-25"},{"title":"The Majority Vote Paradigm Shift: When Popular Meets Optimal","abstract":"Reliably labelling data typically requires annotations from multiple human workers. However, humans are far from being perfect. Hence, it is a common practice to aggregate labels gathered from multiple annotators to make a more confident estimate of the true label. Among many aggregation methods, the simple and well known Majority Vote (MV) selects the class label polling the highest number of votes. However, despite","authors":["Purificato, Antonio","Bucarelli, Maria Sofia","Nelakanti, Anil Kumar","Bacciu, Andrea","Silvestri, Fabrizio","Mantrach, Amin"],"url":"https://arxiv.org/abs/2502.12581","arxiv_id":"2502.12581","published":"2026-09-25"},{"title":"CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models","abstract":"Ensuring safety in autonomous driving systems remains a critical challenge, particularly in handling rare but potentially catastrophic safety-critical scenarios. While existing research has explored generating safety-critical scenarios for autonomous vehicle (AV) testing, there is limited work on effectively incorporating these scenarios into policy learning to enhance safety. Furthermore, developing training curricu","authors":["Sheng, Zihao","Huang, Zilin","Qu, Yansong","Leng, Yue","Bhavanam, Sruthi","Chen, Sikai"],"url":"https://arxiv.org/abs/2502.15119","arxiv_id":"2502.15119","published":"2026-09-25"},{"title":"Multimodal AI predicts clinical outcomes of drug combinations from preclinical data","abstract":"Predicting clinical outcomes from preclinical data is essential for selecting safe and effective drug combinations and for reducing late-stage failures. AI models use molecular structure and target annotations, and do not leverage the perturbation readouts that report how a compound acts in a cellular context. Here we introduce Madrigal, a multimodal AI model that learns from structural, pathway, cell-viability, and ","authors":["Huang, Yepeng","Su, Xiaorui","Ullanat, Varun","Moon, Intae","Liang, Ivy","Clegg, Lindsay"],"url":"https://arxiv.org/abs/2503.02781","arxiv_id":"2503.02781","published":"2026-09-25"}],"history":{"events":[{"year":1990,"text":"The Ram Rath Yatra, a political–religious rally organised to erect a temple to the Hindu deity Rama on the site of the Babri Masjid in Ayodhya, began in the Indian state of Gujarat.","url":"https://en.wikipedia.org/wiki/Ram_Rath_Yatra"},{"year":1983,"text":"In one of the largest prison escapes in British history, 38 Provisional Irish Republican Army prisoners hijacked a meals lorry and broke out of HM Prison Maze in County Antrim, Northern Ireland.","url":"https://en.wikipedia.org/wiki/Maze_Prison_escape"},{"year":1981,"text":"Sandra Day O'Connor (pictured) became the first female justice of the Supreme Court of the United States.","url":"https://en.wikipedia.org/wiki/Sandra_Day_O'Connor"},{"year":1978,"text":"While on approach to San Diego International Airport, Pacific Southwest Airlines Flight 182, a Boeing 727, collided with a Cessna 172, killing all 137 people on board both aircraft, along with 7 more on the ground.","url":"https://en.wikipedia.org/wiki/San_Diego_International_Airport"},{"year":1977,"text":"About 4,200 people took part in the first modern Chicago Marathon.","url":"https://en.wikipedia.org/wiki/Chicago_Marathon"},{"year":1962,"text":"The North Yemen Civil War began when Abdullah al-Sallal dethroned the newly crowned Imam al-Badr and declared Yemen to be a republic under his presidency.","url":"https://en.wikipedia.org/wiki/North_Yemen_civil_war"},{"year":1957,"text":"United States Army troops escorted nine students as Central High School in Little Rock, Arkansas was integrated.","url":"https://en.wikipedia.org/wiki/United_States_Army"},{"year":1944,"text":"Second World War: British troops began their withdrawal from the Battle of Arnhem in the Netherlands, ending the Allies' Operation Market Garden in defeat.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1911,"text":"An explosion of badly degraded propellant charges on board the French battleship Liberté detonated the forward ammunition magazines and destroyed the ship.","url":"https://en.wikipedia.org/wiki/Propellant"},{"year":1890,"text":"Sequoia National Park (pictured) was established to conserve giant sequoia trees in an area affected by logging in the southern Sierra Nevada in California.","url":"https://en.wikipedia.org/wiki/Sequoia_National_Park"},{"year":1800,"text":"French Revolutionary Wars: After U.S. ships became involved, French forces abandoned their invasion of the Batavian island of Curaçao.","url":"https://en.wikipedia.org/wiki/French_Revolutionary_Wars"},{"year":1790,"text":"Peking opera was born with the introduction of Hui opera to Beijing by the \"Four Great Anhui Troupes\" in honour of the Qianlong Emperor's 80th birthday.","url":"https://en.wikipedia.org/wiki/Peking_opera"},{"year":1775,"text":"American Revolutionary War: Ethan Allen and a small force of American and Quebec militia failed to capture the city of Montreal from British forces.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1396,"text":"Ottoman wars in Europe: Ottoman forces under Bayezid I defeated a Christian alliance led by Sigismund of Hungary near present-day Nikopol, Bulgaria.","url":"https://en.wikipedia.org/wiki/Ottoman_wars_in_Europe"},{"year":1237,"text":"Henry III of England and Alexander II of Scotland signed the Treaty of York, establishing the Anglo-Scottish border, which mostly remains the same today.","url":"https://en.wikipedia.org/wiki/Henry_III_of_England"},{"year":1066,"text":"Harold Godwinson defeated King Harald III of Norway and his English ally Tostig Godwinson at the Battle of Stamford Bridge, ending the last Norse invasion of the British Isles.","url":"https://en.wikipedia.org/wiki/Harold_Godwinson"},{"year":844,"text":"Viking expansion: A Viking fleet arrived near Seville, then part of the Emirate of Córdoba, and began a raid of the city that was eventually repelled by Muslim defenders.","url":"https://en.wikipedia.org/wiki/Viking_expansion"},{"year":275,"text":"After the assassination of Aurelian, Tacitus (depicted) was chosen by the Senate to succeed him as Roman emperor.","url":"https://en.wikipedia.org/wiki/Aurelian"}],"births":[{"year":2009,"text":"Leah Jeffries, American actress","url":"https://en.wikipedia.org/wiki/Leah_Jeffries"},{"year":2003,"text":"Bella Ramsey, English actor","url":"https://en.wikipedia.org/wiki/Bella_Ramsey"},{"year":2001,"text":"Cade Cunningham, American basketball player","url":"https://en.wikipedia.org/wiki/Cade_Cunningham"},{"year":2000,"text":"Lilas Ikuta, Japanese singer and songwriter","url":"https://en.wikipedia.org/wiki/Lilas_Ikuta"},{"year":1997,"text":"Antonia Gentry, American actress","url":"https://en.wikipedia.org/wiki/Antonia_Gentry"},{"year":1995,"text":"Todd Hazelwood, Australian race car driver","url":"https://en.wikipedia.org/wiki/Todd_Hazelwood"},{"year":1993,"text":"Brandin Cooks, American football player","url":"https://en.wikipedia.org/wiki/Brandin_Cooks"},{"year":1993,"text":"Toby Greene, Australian footballer","url":"https://en.wikipedia.org/wiki/Toby_Greene"}],"deaths":[{"year":2023,"text":"David McCallum, Scottish actor (born 1933)","url":"https://en.wikipedia.org/wiki/David_McCallum"},{"year":2017,"text":"Jan Tříska, Czech actor (born 1936)","url":"https://en.wikipedia.org/wiki/Jan_T%C5%99%C3%ADska"},{"year":2016,"text":"José Fernández, Cuban-American baseball player (born 1992)","url":"https://en.wikipedia.org/wiki/Jos%C3%A9_Fern%C3%A1ndez_(right-handed_pitcher)"},{"year":2016,"text":"Arnold Palmer, American golfer (born 1929)","url":"https://en.wikipedia.org/wiki/Arnold_Palmer"},{"year":2016,"text":"Nahid Hattar, Jordanian writer and political activist (born 1960)","url":"https://en.wikipedia.org/wiki/Nahed_Hattar"},{"year":2015,"text":"Claudio Baggini, Italian Roman Catholic prelate (born 1936)","url":"https://en.wikipedia.org/wiki/Claudio_Baggini"},{"year":2015,"text":"John Galvin, American general (born 1929)","url":"https://en.wikipedia.org/wiki/John_Galvin_(general)"},{"year":2015,"text":"Tom Kelley, American baseball player and manager (born 1944)","url":"https://en.wikipedia.org/wiki/Tom_Kelley_(baseball)"}]},"census":{"panel_version":2,"probed":14770,"error_rate":28.79,"degraded":false,"rates":{"head":12,"tail":4.4,"ai_native":74.55}},"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 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