{"date":"2026-06-05","schema_version":1,"captured_at":"2026-08-25T23:11:11.649Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Marjane Satrapi","views":304952,"rank":5,"extract":"Marjane Satrapi was an Iranian and French comic book author, film director, and children's book author. 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Police bodycam footage showing officers arresting Nowak as he lay dying from stab wounds sparked public out","url":"https://en.wikipedia.org/wiki/Murder_of_Henry_Nowak","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/14/Henry_Nowak.png/330px-Henry_Nowak.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Obsession (2025 film)","views":234497,"rank":7,"extract":"Obsession is a 2025 American supernatural horror film written, directed, and edited by Curry Barker. 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In the film, Clark, a furniture st","url":"https://en.wikipedia.org/wiki/Backrooms_(film)","thumb":"https://upload.wikimedia.org/wikipedia/en/3/3d/Backrooms_%28film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Jalen Brunson","views":225818,"rank":9,"extract":"Jalen Marquis Brunson, nicknamed \"Captain Clutch\", and the \"King of New York\" is an American professional basketball player for the New York Knicks of the National Basketball Association (NBA). 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He was selected first overall by the Spurs in the 2023 NBA draft and is considered one of t","url":"https://en.wikipedia.org/wiki/Victor_Wembanyama","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/65/Victor_Wembanyama_San_Antonio_Spurs_2024.jpg/330px-Victor_Wembanyama_San_Antonio_Spurs_2024.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 FIFA World Cup","views":204408,"rank":11,"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. The tournament began on June 11, 2026, and concluded on July 19 with Spain winning ","url":"https://en.wikipedia.org/wiki/2026_FIFA_World_Cup","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/1/17/2026_FIFA_World_Cup_emblem.svg/330px-2026_FIFA_World_Cup_emblem.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Maja Chwalińska","views":182470,"rank":12,"extract":"Maja Ewa Chwalińska is a Polish professional tennis player. She has career-high WTA rankings of No. 21 in singles, achieved on 8 June 2026 and No. 91 in doubles, reached on 9 June 2025. Chwalińska's best result is reaching the final of the 2026 French Open, th","url":"https://en.wikipedia.org/wiki/Maja_Chwali%C5%84ska","thumb":"https://upload.wikimedia.org/wikipedia/commons/c/cf/Qualifying_TransylvaniaOpen_Maja_Chwalinska_vs_Ilinca_Dalina_Amariei_6-1%2C6-1_%2854320887214%29_%28cropped_Maja_Chwalinska%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Peddi","views":145951,"rank":13,"extract":"Peddi is a 2026 Indian Telugu-language sports action drama film written and directed by Buchi Babu Sana. 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The initial police investigation of the crime resulted in the arrest in controversial circumstances of an innocent man, who was acquitted.","url":"https://en.wikipedia.org/wiki/Killing_of_Rachel_Nickell","thumb":null},{"title":"Diana Shnaider","views":121452,"rank":17,"extract":"Diana Maximovna Shnaider is a Russian professional tennis player. She has a career-high singles ranking by the WTA of No. 11, achieved on 5 May 2025, and a best doubles ranking of No. 8, reached on 16 June 2025.","url":"https://en.wikipedia.org/wiki/Diana_Shnaider","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/Diana_Shnaider_%282023_US_Open%29_05_%28cropped%29.jpg/330px-Diana_Shnaider_%282023_US_Open%29_05_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Mirra Andreeva","views":115226,"rank":18,"extract":"Mirra Aleksandrovna Andreeva is a Russian professional tennis player. 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It causes excitotoxicity and is used in neuroscience to selectively destroy neurons in the brain or spi","url":"https://en.wikipedia.org/wiki/Quisqualic_acid","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/9/95/Quisqualic_acid.svg/330px-Quisqualic_acid.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Andoni Iraola","views":94759,"rank":23,"extract":"Andoni Iraola Sagarna is a Spanish professional football manager and former player who is the head coach of Premier League club Liverpool.","url":"https://en.wikipedia.org/wiki/Andoni_Iraola","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8c/Andoni_Iraola_2023.jpg/330px-Andoni_Iraola_2023.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"The Backrooms","views":88983,"rank":24,"extract":"The Backrooms is a fictional location invented in a 2019 thread on the imageboard website 4chan. 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After collaborating with singers Luther Vandross and Cissy Houston on his debut album Peabo (1976), he signed to Capitol Records and released the 1978 albums Reaching for the Sky and Crosswinds, ","url":"https://en.wikipedia.org/wiki/Peabo_Bryson","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/0/03/Peabo_Bryson.jpg/330px-Peabo_Bryson.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Neatsville, Kentucky","views":81812,"rank":26,"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). 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(2014)","points":233,"comments":88,"url":"https://unix.stackexchange.com/questions/18154/what-is-the-purpose-of-the-lostfound-folder-in-linux-and-unix","discussion":"https://news.ycombinator.com/item?id=48409474"},{"title":"Looking Forward to Postgres 19: Query Hints","points":223,"comments":45,"url":"https://www.pgedge.com/blog/looking-forward-to-postgres-19-query-hints","discussion":"https://news.ycombinator.com/item?id=48413655"},{"title":"Ultra-processed foods in the global food system: The role of tobacco companies","points":219,"comments":292,"url":"https://ajph.aphapublications.org/doi/10.2105/AJPH.2026.308501","discussion":"https://news.ycombinator.com/item?id=48411190"},{"title":"Azure Linux 4.0 is Microsoft's first general-purpose Linux","points":215,"comments":151,"url":"https://www.boxofcables.dev/azure-linux-4-0-is-microsofts-first-general-purpose-linux/","discussion":"https://news.ycombinator.com/item?id=48407499"},{"title":"ESP32 Bit Pirate, a Hardware Hacking Tool with WebCLI That Speaks Every Protocol","points":211,"comments":46,"url":"https://github.com/geo-tp/ESP32-Bit-Pirate","discussion":"https://news.ycombinator.com/item?id=48409306"},{"title":"Fine-tuning an LLM to write docs like it's 1995","points":196,"comments":67,"url":"https://passo.uno/fine-tuning-docs-llm/","discussion":"https://news.ycombinator.com/item?id=48408442"}],"research":[{"title":"The thermodynamics of human reaction times","abstract":"I present a new approach for the interpretation of reaction time (RT) data from behavioral experiments. From a physical perspective, the entropy of the RT distribution provides a model-free estimate of the amount of processing performed by the cognitive system. In this way, the focus is shifted from the conventional interpretation of individual RTs being either long or short, into their distribution being more or les","authors":["Martín, Fermín Moscoso del Prado"],"url":"https://arxiv.org/abs/0908.3170","arxiv_id":"0908.3170","published":"2026-06-05"},{"title":"Analytical Determination of Fractal Structure in Stochastic Time Series","abstract":"Current methods for determining whether a time series exhibits fractal structure (FS) rely on subjective assessments on estimators of the Hurst exponent (H). Here, I introduce the Bayesian Assessment of Scaling, an analytical framework for drawing objective and accurate inferences on the FS of time series. The technique exploits the scaling property of the diffusion associated to a time series. The resulting criterio","authors":["Martín, Fermín Moscoso del Prado"],"url":"https://arxiv.org/abs/0911.2381","arxiv_id":"0911.2381","published":"2026-06-05"},{"title":"Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance","abstract":"From work emerging through the middle of the 20th century, the essence of meaning has become widely accepted as being described by the three orthogonal dimensions of valence, arousal, and dominance (VAD). These essential dimensions have become the cornerstone of sentiment analysis across many fields. By re-examining first types and then tokens for the English language, and through the use of automatically annotated h","authors":["Dodds, P. S.","Alshaabi, T.","Fudolig, M. I.","Zimmerman, J. W.","Lovato, J.","Beaulieu, S."],"url":"https://arxiv.org/abs/2110.06847","arxiv_id":"2110.06847","published":"2026-06-05"},{"title":"LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation","abstract":"In Federated Learning, it is crucial to handle low-quality, corrupted, or malicious data. However, traditional data valuation methods are not suitable due to privacy concerns. To address this, we propose a simple yet effective approach that utilizes a new influence approximation called &#34;lazy influence&#34; to filter and score data while preserving privacy. To do this, each participant uses their own data to estim","authors":["Rokvic, Ljubomir","Danassis, Panayiotis","Karimireddy, Sai Praneeth","Faltings, Boi"],"url":"https://arxiv.org/abs/2205.11518","arxiv_id":"2205.11518","published":"2026-06-05"},{"title":"Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare","abstract":"The success of many healthcare programs depends on participants' adherence. We consider the problem of scheduling interventions in low resource settings (e.g., placing timely support calls from health workers) to increase adherence and/or engagement. Past works have successfully developed several classes of Restless Multi-armed Bandit (RMAB) based solutions for this problem. Nevertheless, all past RMAB approaches","authors":["Danassis, Panayiotis","Verma, Shresth","Killian, Jackson A.","Taneja, Aparna","Tambe, Milind"],"url":"https://arxiv.org/abs/2305.12640","arxiv_id":"2305.12640","published":"2026-06-05"},{"title":"Semi-Offline Reinforcement Learning for Optimized Text Generation","abstract":"In reinforcement learning (RL), there are two major settings for interacting with the environment: online and offline. Online methods explore the environment at significant time cost, and offline methods efficiently obtain reward signals by sacrificing exploration capability. We propose semi-offline RL, a novel paradigm that smoothly transits from offline to online settings, balances exploration capability and traini","authors":["Chen, Changyu","Wang, Xiting","Jin, Yiqiao","Dong, Victor Ye","Dong, Li","Cao, Jie"],"url":"https://arxiv.org/abs/2306.09712","arxiv_id":"2306.09712","published":"2026-06-05"},{"title":"Rethinking Distribution Shifts: Empirical Analysis and Modeling for Tabular Data","abstract":"Different distribution shifts require different interventions, and algorithms must be grounded in the specific shifts they address. However, methodological development for robust algorithms typically relies on structural assumptions that lack empirical validation. Advocating for an empirically grounded data-driven approach to algorithm development, we build an empirical testbed comprising natural shifts across 8 tabu","authors":["Wang, Tianyu","Liu, Jiashuo","Cui, Peng","Namkoong, Hongseok"],"url":"https://arxiv.org/abs/2307.05284","arxiv_id":"2307.05284","published":"2026-06-05"},{"title":"Can Language Models Learn to Listen?","abstract":"We present a framework for generating appropriate facial responses from a listener in dyadic social interactions based on the speaker's words. Given an input transcription of the speaker's words with their timestamps, our approach autoregressively predicts a response of a listener: a sequence of listener facial gestures, quantized using a VQ-VAE. Since gesture is a language component, we propose treating the ","authors":["Ng, Evonne","Subramanian, Sanjay","Klein, Dan","Kanazawa, Angjoo","Darrell, Trevor","Ginosar, Shiry"],"url":"https://arxiv.org/abs/2308.10897","arxiv_id":"2308.10897","published":"2026-06-05"},{"title":"Enhancing cardiovascular risk prediction through AI-enabled calcium-omics","abstract":"Background. Coronary artery calcium (CAC) is a powerful predictor of major adverse cardiovascular events (MACE). Traditional Agatston score simply sums the calcium, albeit in a non-linear way, leaving room for improved calcification assessments that will more fully capture the extent of disease. Objective. To determine if AI methods using detailed calcification features (i.e., calcium-omics) can improve MACE predicti","authors":["Hoori, Ammar","Al-Kindi, Sadeer","Hu, Tao","Song, Yingnan","Wu, Hao","Lee, Juhwan"],"url":"https://arxiv.org/abs/2308.12224","arxiv_id":"2308.12224","published":"2026-06-05"},{"title":"Uncovering Model Processing Strategies with Non-Negative Per-Example Fisher Factorization","abstract":"We introduce NPEFF (Non-Negative Per-Example Fisher Factorization), an interpretability method that aims to uncover strategies used by a model to generate its predictions. NPEFF decomposes per-example Fisher matrices using a novel decomposition algorithm that learns a set of components represented by learned rank-1 positive semi-definite matrices. Through a combination of human evaluation and automated analysis, we d","authors":["Matena, Michael","Raffel, Colin"],"url":"https://arxiv.org/abs/2310.04649","arxiv_id":"2310.04649","published":"2026-06-05"},{"title":"Exploration via linearly perturbed loss minimisation","abstract":"We introduce exploration via linear loss perturbations (EVILL), a randomised exploration method for structured stochastic bandit problems that works by solving for the minimiser of a linearly perturbed regularised negative log-likelihood function. We show that, for the case of generalised linear bandits, EVILL reduces to perturbed history exploration (PHE), a method where exploration is done by training on randomly p","authors":["Janz, David","Liu, Shuai","Ayoub, Alex","Szepesvári, Csaba"],"url":"https://arxiv.org/abs/2311.07565","arxiv_id":"2311.07565","published":"2026-06-05"},{"title":"Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease","abstract":"Only a small fraction of patients with chronic kidney disease (CKD) progress to dialysis, creating severe class imbalance that limits the performance of machine learning models for early dialysis prediction. This challenge is compounded by the binary structure of electronic health record (EHR) data, for which most existing augmentation methods were not designed. We propose Binary Gaussian Copula Synthesis (BGCS), a t","authors":["Khosravi, Hamed","Khanchi, Milad","Noori, Mobina","Das, Srinjoy","Al-Mamun, Abdullah","Ahmed, Imtiaz"],"url":"https://arxiv.org/abs/2403.00965","arxiv_id":"2403.00965","published":"2026-06-05"},{"title":"Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition","abstract":"Open set recognition (OSR) is a critical aspect of machine learning, addressing the challenge of detecting novel classes during inference. Within the realm of deep learning, neural classifiers trained on a closed set of data typically struggle to identify novel classes, leading to erroneous predictions. To address this issue, various heuristic methods have been proposed, allowing models to express uncertainty by stat","authors":["Xu, Jiawen","Keuper, Margret"],"url":"https://arxiv.org/abs/2404.10370","arxiv_id":"2404.10370","published":"2026-06-05"},{"title":"Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional propagation of values and densities","abstract":"Recently a million of biological neurons (BNN) has turned out better from modern RL methods in playing Pong~\\cite{RL}, reminding they are still qualitatively superior e.g. in learning, flexibility and robustness - suggesting to try to improve current artificial e.g. MLP/KAN for better agreement with biological. There is proposed extension of KAN approach to neurons containing model of local joint distribution: $ρ(\\ma","authors":["Duda, Jarek"],"url":"https://arxiv.org/abs/2405.05097","arxiv_id":"2405.05097","published":"2026-06-05"},{"title":"GridPE: A Grid Cell-Inspired Unified Position Embedding for Arbitrary-Dimensional Spaces","abstract":"Understanding spatial relationships across all dimensions is fundamental for intelligent systems. However, existing positional embeddings, such as Rotary Positional Embedding (RoPE), lack theoretical guarantees for high-dimensional spatiotemporal tasks like video understanding and robotic navigation. Inspired by the hexagonal periodic coding of grid cells in mammalian spatial cognition, we propose GridPE -- a novel p","authors":["Li, Boyang","Wu, Yulin","Huang, Nuoxian","Zhang, Wenjia"],"url":"https://arxiv.org/abs/2406.07049","arxiv_id":"2406.07049","published":"2026-06-05"},{"title":"Separation Power of Equivariant Neural Networks","abstract":"The separation power of a machine learning model refers to its ability to distinguish between different inputs and is often used as a proxy for its expressivity. Indeed, knowing the separation power of a family of models is a necessary condition to obtain fine-grained universality results. In this paper, we analyze the separation power of equivariant neural networks, such as convolutional and permutation-invariant ne","authors":["Pacini, Marco","Dong, Xiaowen","Lepri, Bruno","Santin, Gabriele"],"url":"https://arxiv.org/abs/2406.08966","arxiv_id":"2406.08966","published":"2026-06-05"},{"title":"What Makes Two Language Models Think Alike?","abstract":"Do architectural and training differences influence the way models represent and process language? Traditional similarity metrics tell us whether two models share a similar representational geometry, but they cannot explain why. Here, we propose a new, simple, approach to address this question. This approach maps neural activity in each model layer onto a set of interpretable linguistic features and quantifies how mu","authors":["Jalouzot, Louis","Pallier, Christophe","Chemla, Emmanuel","Lakretz, Yair"],"url":"https://arxiv.org/abs/2406.12620","arxiv_id":"2406.12620","published":"2026-06-05"},{"title":"IDEAL: Leveraging Infinite and Dynamic Characterizations of Large Language Models for Query-focused Summarization","abstract":"Query-focused summarization (QFS) aims to produce summaries that answer particular questions of interest, enabling greater user control and personalization. The advent of large language models (LLMs), shows their impressive capability of textual understanding through large-scale pretraining, which implies the great potential of extractive snippet generation. In this paper, we systematically investigated two indispens","authors":["Cao, Jie","Jiao, Dian","Dai, Yang","Yan, Rolan","Zhang, Wenqiao","Tang, Siliang"],"url":"https://arxiv.org/abs/2407.10486","arxiv_id":"2407.10486","published":"2026-06-05"},{"title":"FATE: Focal-modulated Attention Encoder for Multivariate Time-series Forecasting","abstract":"Climate change stands as one of the most pressing global challenges of the twenty-first century, with far-reaching consequences such as rising sea levels, melting glaciers, and increasingly extreme weather patterns. Accurate forecasting is critical for monitoring these phenomena and supporting mitigation strategies. While recent data-driven models for time-series forecasting, including CNNs, RNNs, and attention-based","authors":["Ashraf, Tajamul","Bashir, Janibul"],"url":"https://arxiv.org/abs/2408.11336","arxiv_id":"2408.11336","published":"2026-06-05"},{"title":"Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization","abstract":"Learning conditional distributions $π^*(\\cdot|x)$ is a central problem in machine learning, which is typically approached via supervised methods with paired data $(x,y) \\sim π^*$. However, acquiring paired data samples is often challenging, especially in problems such as domain translation. This necessitates the development of $\\textit{semi-supervised}$ models that utilize both limited paired data and additional unpa","authors":["Persiianov, Mikhail","Asadulaev, Arip","Andreev, Nikita","Starodubcev, Nikita","Baranchuk, Dmitry","Kratsios, Anastasis"],"url":"https://arxiv.org/abs/2410.02628","arxiv_id":"2410.02628","published":"2026-06-05"},{"title":"Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks","abstract":"Urban air pollution hotspots pose significant health risks, yet their detection and analysis remain limited by the sparsity of public sensor networks. This paper addresses this challenge by combining predictive modeling and mechanistic approaches to comprehensively monitor pollution hotspots. We enhanced New Delhi's existing sensor network with 28 low-cost sensors, collecting PM2.5 data over 30 months from May 1,","authors":["Bhardwaj, Ankit","Balashankar, Ananth","Iyer, Shiva","Soans, Nita","Sudarshan, Anant","Pande, Rohini"],"url":"https://arxiv.org/abs/2410.04309","arxiv_id":"2410.04309","published":"2026-06-05"},{"title":"Decomposition Polyhedra of Piecewise Linear Functions","abstract":"In this paper we contribute to the frequently studied question of how to decompose a continuous piecewise linear (CPWL) function into a difference of two convex CPWL functions. Every CPWL function has infinitely many such decompositions, but for applications in optimization and neural network theory, it is crucial to find decompositions with as few linear pieces as possible. This is a highly challenging problem, as w","authors":["Brandenburg, Marie-Charlotte","Grillo, Moritz","Hertrich, Christoph"],"url":"https://arxiv.org/abs/2410.04907","arxiv_id":"2410.04907","published":"2026-06-05"},{"title":"On Efficient Variants of Segment Anything Model: A Survey","abstract":"The Segment Anything Model (SAM) is a foundational model for image segmentation tasks, known for its strong generalization across diverse applications. However, its impressive performance comes with significant computational and resource demands, making it challenging to deploy in resource-limited environments such as edge devices. To address this, a variety of SAM variants have been proposed to enhance efficiency wh","authors":["Sun, Xiaorui","Liu, Jun","Shen, Heng Tao","Zhu, Xiaofeng","Hu, Ping"],"url":"https://arxiv.org/abs/2410.04960","arxiv_id":"2410.04960","published":"2026-06-05"},{"title":"ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","abstract":"Autonomous web agents solve complex browsing tasks, yet existing benchmarks measure only whether an agent finishes a task, ignoring whether it does so safely or in a way enterprises can trust. To integrate these agents into critical workflows, safety and trustworthiness (ST) are prerequisite conditions for adoption. We introduce \\textbf{\\textsc{ST-WebAgentBench}}, a configurable and easily extensible suite for evalua","authors":["Levy, Ido","Wiesel, Ben","Marreed, Sami","Oved, Alon","Yaeli, Avi","Mashkif, Nir"],"url":"https://arxiv.org/abs/2410.06703","arxiv_id":"2410.06703","published":"2026-06-05"},{"title":"Channel-Wise Mixed-Precision Quantization for Large Language Models","abstract":"Large Language Models (LLMs) have demonstrated remarkable success across a wide range of language tasks, but their deployment on edge devices remains challenging due to the substantial memory requirements imposed by their large parameter sizes. Weight-only quantization presents a promising solution to reduce the memory footprint of LLMs. However, existing approaches primarily focus on integer-bit quantization, limiti","authors":["Chen, Zihan","Xie, Bike","Li, Jundong","Shen, Cong"],"url":"https://arxiv.org/abs/2410.13056","arxiv_id":"2410.13056","published":"2026-06-05"}],"history":{"events":[{"year":2009,"text":"A fire at a day-care center kills 49 children in Mexico","url":"https://en.wikipedia.org/wiki/2009_Hermosillo_daycare_center_fire"},{"year":2009,"text":"After almost two months of civil disobedience, at least 31 people were killed in clashes between the National Police and indigenous people in Bagua province, Peru.","url":"https://en.wikipedia.org/wiki/2009_Peruvian_political_crisis"},{"year":2004,"text":"Noël Mamère, the mayor of Bègles, conducted a marriage ceremony for two men, even though same-sex marriage in France had not yet been legalised.","url":"https://en.wikipedia.org/wiki/No%C3%ABl_Mam%C3%A8re"},{"year":2001,"text":"Tropical Storm Allison, the costliest Atlantic tropical cyclone that was never a hurricane, made landfall in Texas, causing approximately $8.5 billion in damage.","url":"https://en.wikipedia.org/wiki/Tropical_Storm_Allison"},{"year":1997,"text":"Anticipating a coup attempt, President Pascal Lissouba of the Republic of the Congo ordered the detention of his rival Denis Sassou Nguesso, initiating a second civil war.","url":"https://en.wikipedia.org/wiki/Pascal_Lissouba"},{"year":1989,"text":"An anonymous demonstrator, later dubbed \"Tank Man\", single-handedly stopped a column of Chinese tanks during the Tiananmen Square protests before being dragged aside.","url":"https://en.wikipedia.org/wiki/Tank_Man"},{"year":1981,"text":"The first clinical cases of AIDS were published by the Centers for Disease Control and Prevention.","url":"https://en.wikipedia.org/wiki/HIV%2FAIDS"},{"year":1976,"text":"The Teton Dam in eastern Idaho, U.S., collapsed (failure pictured) as its reservoir was being filled for the first time, resulting in the deaths of eleven people and 13,000 cattle, and causing up to $2 billion in damage.","url":"https://en.wikipedia.org/wiki/Teton_Dam"},{"year":1968,"text":"U.S. senator Robert F. Kennedy was fatally shot by Palestinian immigrant Sirhan Sirhan at the Ambassador Hotel in Los Angeles.","url":"https://en.wikipedia.org/wiki/Robert_F._Kennedy"},{"year":1967,"text":"Following Israel's initiation of Operation Focus with the goal to neutralise the Egyptian Air Force, Syrian Air Force, and the Royal Jordanian Air Force, the Six-Day War begins.","url":"https://en.wikipedia.org/wiki/Operation_Focus"},{"year":1963,"text":"The arrest of Ayatollah Ruhollah Khomeini for publicly denouncing Shah Mohammad Reza Pahlavi sparked protests in Iran.","url":"https://en.wikipedia.org/wiki/Ruhollah_Khomeini"},{"year":1963,"text":"British politician John Profumo admitted that he had lied to the House of Commons about his involvement in a sex scandal with Christine Keeler, and resigned from government.","url":"https://en.wikipedia.org/wiki/John_Profumo"},{"year":1947,"text":"At a speech at Harvard University, United States Secretary of State George Marshall called for economic aid to war-torn Europe, outlining a recovery program that became known as the Marshall Plan.","url":"https://en.wikipedia.org/wiki/Harvard_University"},{"year":1941,"text":"Second Sino-Japanese War: About 4,000 people died of asphyxiation in Chongqing when the tunnel in which they were hiding became blocked during a raid in the five-year bombing campaign.","url":"https://en.wikipedia.org/wiki/Second_Sino-Japanese_War"},{"year":1899,"text":"Antonio Luna, Commanding General of the Philippine Army, was assassinated in the midst of the Philippine–American War.","url":"https://en.wikipedia.org/wiki/Antonio_Luna"},{"year":1897,"text":"The Ancient Temples and Shrines Preservation Law was passed, instituting the protection of structures and artifacts in Japan designated National Treasures.","url":"https://en.wikipedia.org/wiki/National_Treasure_(Japan)"},{"year":1879,"text":"The Zungeni Mountain skirmish took place between British and Zulu forces during the second invasion of the Zulu Kingdom.","url":"https://en.wikipedia.org/wiki/Zungeni_Mountain_skirmish"},{"year":1862,"text":"Vietnamese guerrilla leader Trương Định chose to fight on against European forces, defying Emperor Tự Đức and the Treaty of Saigon.","url":"https://en.wikipedia.org/wiki/Tr%C6%B0%C6%A1ng_%C4%90%E1%BB%8Bnh"}],"births":[{"year":2002,"text":"Selwyn Cobbo, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Selwyn_Cobbo"},{"year":2001,"text":"Chaeryeong, South Korean singer and dancer","url":"https://en.wikipedia.org/wiki/Chaeryeong"},{"year":1998,"text":"Kale Clague, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Kale_Clague"},{"year":1998,"text":"Jaqueline Cristian, Romanian tennis player","url":"https://en.wikipedia.org/wiki/Jaqueline_Cristian"},{"year":1998,"text":"Dave, British rapper","url":"https://en.wikipedia.org/wiki/Dave_(rapper)"},{"year":1998,"text":"Yulia Lipnitskaya, Russian figure skater","url":"https://en.wikipedia.org/wiki/Yulia_Lipnitskaya"},{"year":1997,"text":"Sam Darnold, American football player","url":"https://en.wikipedia.org/wiki/Sam_Darnold"},{"year":1996,"text":"Jamayne Isaako, New Zealand rugby league player","url":"https://en.wikipedia.org/wiki/Jamayne_Isaako"}],"deaths":[{"year":2024,"text":"Rosa, former sea otter at Monterey Bay Aquarium (born 1999)","url":"https://en.wikipedia.org/wiki/Rosa_(sea_otter)"},{"year":2023,"text":"Astrud Gilberto, Brazilian singer (born 1940)","url":"https://en.wikipedia.org/wiki/Astrud_Gilberto"},{"year":2021,"text":"T. B. Joshua, Nigerian televangelist (born 1963)","url":"https://en.wikipedia.org/wiki/TB_Joshua"},{"year":2018,"text":"Kate Spade, American fashion designer (born 1962)","url":"https://en.wikipedia.org/wiki/Kate_Spade"},{"year":2017,"text":"Andy Cunningham, English actor (born 1950)","url":"https://en.wikipedia.org/wiki/Andy_Cunningham_(actor)"},{"year":2017,"text":"Cheick Tioté, Ivorian footballer (born 1986)","url":"https://en.wikipedia.org/wiki/Cheick_Tiot%C3%A9"},{"year":2016,"text":"Jerome Bruner, American psychologist (born 1915)","url":"https://en.wikipedia.org/wiki/Jerome_Bruner"},{"year":2015,"text":"Tariq Aziz, Iraqi journalist and politician, Iraqi Minister of Foreign Affairs (born 1936)","url":"https://en.wikipedia.org/wiki/Tariq_Aziz"}]},"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."}