{"date":"2026-06-03","schema_version":1,"captured_at":"2026-08-25T23:10:59.488Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Murder of Henry Nowak","views":463123,"rank":3,"extract":"On 3 December 2025, Henry Nowak, an 18‑year‑old university student, was murdered in Southampton, Hampshire, England, by 23‑year‑old Vickrum Singh Digwa. 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Companies","points":235,"comments":273,"url":"https://www.sanders.senate.gov/op-eds/the-public-should-own-half-of-the-big-a-i-companies/","discussion":"https://news.ycombinator.com/item?id=48386551"},{"title":"Redis 8.8: New array data structure, rate limiter, performance improvements","points":229,"comments":112,"url":"https://redis.io/blog/announcing-redis-8-8/","discussion":"https://news.ycombinator.com/item?id=48382047"},{"title":"I built a ceiling projection mapping of the planes flying over my house","points":229,"comments":32,"url":"https://old.reddit.com/r/nextfuckinglevel/comments/1tvmcin/i_live_in_the_take_off_path_of_sfo_and_built_a/","discussion":"https://news.ycombinator.com/item?id=48383823"},{"title":"My Software North Star","points":220,"comments":155,"url":"https://kristoff.it/blog/north-star/","discussion":"https://news.ycombinator.com/item?id=48389368"},{"title":"Agentic Mfw","points":211,"comments":70,"url":"https://agenticmotherfucking.website","discussion":"https://news.ycombinator.com/item?id=48379203"},{"title":"Gooey: A GPU-accelerated UI framework for Zig","points":200,"comments":87,"url":"https://github.com/duanebester/gooey","discussion":"https://news.ycombinator.com/item?id=48386725"},{"title":"A Man Who Reads Books for a Living","points":188,"comments":123,"url":"https://lithub.com/the-man-who-reads-books-for-a-living-one-every-two-days/","discussion":"https://news.ycombinator.com/item?id=48389284"}],"research":[{"title":"On Reductions of Hintikka Sets for Higher-Order Logic","abstract":"Steen's (2018) Hintikka set properties for Church's type theory based on primitive equality are reduced to the Hintikka set properties of Brown (2007). Using this reduction, a model existence theorem for Steen's properties is derived.","authors":["Steen, Alexander","Benzmüller, Christoph"],"url":"https://arxiv.org/abs/2004.07506","arxiv_id":"2004.07506","published":"2026-06-03"},{"title":"Typhoon: Towards an Effective Task-Specific Masking Strategy for Pre-trained Language Models","abstract":"The choice of \\emph{which} tokens to mask is a central, under-examined design decision in masked language modeling (MLM). Standard pretraining masks tokens uniformly at random, but several studies show that more informative masking targets can improve downstream performance. We study masking as a \\emph{task-adaptive} component of the fine-tuning pipeline and introduce \\textbf{Typhoon}, a masking strategy that uses th","authors":["Abdurrahman, Muhammed Shahir","Elezabi, Hashem","Xu, Bruce Changlong"],"url":"https://arxiv.org/abs/2303.15619","arxiv_id":"2303.15619","published":"2026-06-03"},{"title":"Learning Power Flow with Confidence: A Probabilistic Guarantee Framework for Voltage Risk","abstract":"The absence of formal performance guarantees in machine learning (ML) has limited its adoption for safety-critical power system applications, where confidence and interpretability are as vital as accuracy. In this work, we present a probabilistic guarantee for power flow learning and voltage risk estimation, derived through the framework of Gaussian Process (GP) regression. Specifically, we establish a bound on the e","authors":["Pareek, Parikshit","Misra, Sidhant","Deka, Deepjyoti"],"url":"https://arxiv.org/abs/2308.07867","arxiv_id":"2308.07867","published":"2026-06-03"},{"title":"Node Perturbation Can Effectively Train Multi-Layer Neural Networks","abstract":"Backpropagation (BP) remains the dominant and most successful method for training parameters of deep neural network models. However, BP relies on two computationally distinct phases, does not provide a satisfactory explanation of biological learning, and can be challenging to apply for training of networks with discontinuities or noisy node dynamics. By comparison, node perturbation (NP), also known as activity-pertu","authors":["Dalm, Sander","van Gerven, Marcel","Ahmad, Nasir"],"url":"https://arxiv.org/abs/2310.00965","arxiv_id":"2310.00965","published":"2026-06-03"},{"title":"Evaluating the Reversal Curse in Model Editing","abstract":"Large language models (LLMs) are prone to hallucinate unintended text due to false or outdated knowledge. Since retraining LLMs is resource intensive, there has been a growing interest in model editing. Despite the emergence of benchmarks and approaches, existing unidirectional editing and evaluation paradigms have failed to explore the reversal curse. In this paper, we study bidirectional language model editing, aim","authors":["Xu, Hao-Xiang","Ma, Jun-Yu","Ling, Zhen-Hua","Liu, Quan","Liu, Cong","Gu, Jia-Chen"],"url":"https://arxiv.org/abs/2310.10322","arxiv_id":"2310.10322","published":"2026-06-03"},{"title":"Planning with Uncertainty: Symmetries, Policy Inference, and Solution Compression","abstract":"Fully-observable non-deterministic (FOND) planning is at the core of artificial intelligence planning with uncertainty. It models uncertainty through actions with non-deterministic effects. In this work, we present a collection of techniques that establish explicit best-first policy-space search as a method competitive with the state of the art for solving FOND planning tasks. We study how to define equivalence relat","authors":["Messa, Frederico","Pereira, André Grahl"],"url":"https://arxiv.org/abs/2403.19883","arxiv_id":"2403.19883","published":"2026-06-03"},{"title":"Evolving Collective Behavior in Self-Organizing Particle Systems","abstract":"Local interactions drive emergent collective behavior, which pervades biological and social complex systems. But uncovering the interactions that produce a desired behavior remains a core challenge. In this paper, we present EvoSOPS, an evolutionary framework that searches landscapes of stochastic distributed algorithms for those that achieve a mathematically specified target behavior. These algorithms govern self-or","authors":["Parkar, Devendra","Leyba, Kirtus G.","Faerber, Raylene A.","Daymude, Joshua J."],"url":"https://arxiv.org/abs/2404.05915","arxiv_id":"2404.05915","published":"2026-06-03"},{"title":"Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension","abstract":"Training with noisy class labels impairs neural networks' generalization performance. In this context, mixup is a popular regularization technique to improve training robustness by making memorizing false class labels more difficult. However, mixup neglects that multiple annotators, e.g., crowdworkers, typically provide class labels. Therefore, we propose an extension of mixup, which handles multiple class labels","authors":["Herde, Marek","Lührs, Lukas","Huseljic, Denis","Sick, Bernhard"],"url":"https://arxiv.org/abs/2405.03386","arxiv_id":"2405.03386","published":"2026-06-03"},{"title":"Word-specific tonal realizations in Mandarin","abstract":"The pitch contours of Mandarin two-character words are generally understood as being shaped by the underlying tones of the constituent single-character words, in interaction with articulatory constraints imposed by factors such as speech rate, co-articulation with adjacent tones, segmental make-up, and predictability. This study shows that tonal realization is also partially determined by words' meanings. We firs","authors":["Chuang, Yu-Ying","Bell, Melanie J.","Tseng, Yu-Hsiang","Baayen, R. Harald"],"url":"https://arxiv.org/abs/2405.07006","arxiv_id":"2405.07006","published":"2026-06-03"},{"title":"Suboptimality bounds for trace-bounded SDPs enable a faster and scalable low-rank SDP solver SDPLR+","abstract":"Semidefinite programs (SDPs) and their solvers are powerful tools with many applications in machine learning and data science. Designing scalable SDP solvers is challenging because by standard the positive semidefinite decision variable is an $n \\times n$ dense matrix, even though the input is often an $n \\times n$ sparse matrix. However, the solution may not require a full-rank matrix, as shown by Barvinok and Patak","authors":["Huang, Yufan","Gleich, David F."],"url":"https://arxiv.org/abs/2406.10407","arxiv_id":"2406.10407","published":"2026-06-03"},{"title":"GS-ROR$^2$: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction","abstract":"3D Gaussian Splatting (3DGS) has shown a powerful capability for novel view synthesis due to its detailed expressive ability and highly efficient rendering speed. Unfortunately, creating relightable 3D assets and reconstructing faithful geometry with 3DGS is still problematic, particularly for reflective objects, as its discontinuous representation raises difficulties in constraining geometries. Volumetric signed dis","authors":["Zhu, Zuo-Liang","Wang, Beibei","Yang, Jian"],"url":"https://arxiv.org/abs/2406.18544","arxiv_id":"2406.18544","published":"2026-06-03"},{"title":"An Improved Method for Personalizing Diffusion Models","abstract":"Diffusion models have demonstrated impressive image generation capabilities. Personalized approaches, such as textual inversion and Dreambooth, enhance model individualization using specific images. These methods enable generating images of specific objects based on diverse textual contexts. Our proposed approach aims to retain the model's original knowledge during new information integration, resulting in superi","authors":["Zeng, Yan","Suganuma, Masanori","Okatani, Takayuki"],"url":"https://arxiv.org/abs/2407.05312","arxiv_id":"2407.05312","published":"2026-06-03"},{"title":"Approximating Probabilistic Inference in Statistical EL with Knowledge Graph Embeddings","abstract":"Statistical information is ubiquitous but drawing valid conclusions from it is prohibitively hard. We explain how knowledge graph embeddings can be used to approximate probabilistic inference efficiently using the example of Statistical EL (SEL), a statistical extension of the lightweight Description Logic EL. We provide proofs for runtime and soundness guarantees, and empirically evaluate the runtime and approximati","authors":["Zhu, Yuqicheng","Potyka, Nico","Xiong, Bo","Tran, Trung-Kien","Nayyeri, Mojtaba","Kharlamov, Evgeny"],"url":"https://arxiv.org/abs/2407.11821","arxiv_id":"2407.11821","published":"2026-06-03"},{"title":"Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift","abstract":"Learning models whose predictions are invariant under multiple environments is a promising approach for out-of-distribution generalization. Such models are trained to extract features $X_{\\text{inv}}$ where the conditional distribution $Y \\mid X_{\\text{inv}}$ of the label given the extracted features does not change across environments. Invariant models are also supposed to generalize to shifts in the marginal distri","authors":["Wong, Gina","Gleason, Joshua","Chellappa, Rama","Wald, Yoav","Liu, Anqi"],"url":"https://arxiv.org/abs/2407.18428","arxiv_id":"2407.18428","published":"2026-06-03"},{"title":"PINNfluence: Interpreting PINNs through Influence Functions","abstract":"Physics-informed neural networks (PINNs) have emerged as a powerful deep learning approach for solving partial differential equations (PDEs) in the physical sciences, yet their behavior remains largely opaque and is typically understood through failure mode analyses rather than explicit interpretability. To address this issue, we introduce PINNfluence, a training data attribution framework for interpreting PINNs base","authors":["Krasowski, Aleksander","Naujoks, Jonas R.","Weckbecker, Moritz","Yolcu, Galip Ü.","Wiegand, Thomas","Lapuschkin, Sebastian"],"url":"https://arxiv.org/abs/2409.08958","arxiv_id":"2409.08958","published":"2026-06-03"},{"title":"Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability","abstract":"Optimizing costly black-box functions within a constrained evaluation budget presents significant challenges in many real-world applications. Surrogate Optimization (SO) is a common resolution, yet its proprietary nature introduced by the complexity of surrogate models and the sampling core (e.g., acquisition functions) often leads to a lack of explainability and transparency. While existing literature has primarily ","authors":["Nezami, Nazanin","Anahideh, Hadis"],"url":"https://arxiv.org/abs/2410.14573","arxiv_id":"2410.14573","published":"2026-06-03"},{"title":"ResCLIP: Residual Attention for Training-free Dense Vision-language Inference","abstract":"While vision-language models like CLIP have shown remarkable success in open-vocabulary tasks, their application is currently confined to image-level tasks, and they still struggle with dense predictions. Recent works often attribute such deficiency in dense predictions to the self-attention layers in the final block, and have achieved commendable results by modifying the original query-key attention to self-correlat","authors":["Yang, Yuhang","Deng, Jinhong","Li, Wen","Duan, Lixin"],"url":"https://arxiv.org/abs/2411.15851","arxiv_id":"2411.15851","published":"2026-06-03"},{"title":"Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model Enhancement","abstract":"Vision-Language Models (VLMs) bring powerful understanding and reasoning capabilities to multimodal tasks. Meanwhile, the great need for capable aritificial intelligence on mobile devices also arises, such as the AI assistant software. Some efforts try to migrate VLMs to edge devices to expand their application scope. Simplifying the model structure is a common method, but as the model shrinks, the trade-off between ","authors":["Feng, Qianhan","Li, Wenshuo","Lin, Tong","Chen, Xinghao"],"url":"https://arxiv.org/abs/2412.01282","arxiv_id":"2412.01282","published":"2026-06-03"},{"title":"Power- and Fragmentation-aware Online Scheduling for GPU Datacenters","abstract":"The rise of Artificial Intelligence and Large Language Models is driving increased GPU usage in data centers for complex training and inference tasks, impacting operational costs, energy demands, and the environmental footprint of large-scale computing infrastructures. This work addresses the online scheduling problem in GPU datacenters, which involves scheduling tasks without knowledge of their future arrivals. We f","authors":["Lettich, Francesco","Carlini, Emanuele","Nardini, Franco Maria","Perego, Raffaele","Trani, Salvatore"],"url":"https://arxiv.org/abs/2412.17484","arxiv_id":"2412.17484","published":"2026-06-03"},{"title":"The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit","abstract":"The deployment of Large Language Models (LLMs) in recommender systems for predicting Click-Through Rates (CTR) necessitates a delicate balance between computational efficiency and predictive accuracy. This paper presents an optimization framework that combines Retrieval-Augmented Generation (RAG) with an innovative multi-head early exit architecture to concurrently enhance both aspects. By integrating Graph Convoluti","authors":["Zhou, Huixue","Gu, Hengrui","Liu, Xi","Zhou, Kaixiong","Liang, Mingfu","Xiao, Yongkang"],"url":"https://arxiv.org/abs/2501.02173","arxiv_id":"2501.02173","published":"2026-06-03"},{"title":"ASAP: Exploiting the Satisficing Generalization Edge in Neural Combinatorial Optimization","abstract":"Deep Reinforcement Learning (DRL) has emerged as a promising approach for solving Combinatorial Optimization (CO) problems, such as the 3D Bin Packing Problem (3D-BPP), Traveling Salesman Problem (TSP), or Vehicle Routing Problem (VRP), but these neural solvers often exhibit brittleness when facing distribution shifts. To address this issue, we uncover the Satisficing Generalization Edge, which we validate both theor","authors":["Fang, Han","Weng, Paul","Ban, Yutong"],"url":"https://arxiv.org/abs/2501.17377","arxiv_id":"2501.17377","published":"2026-06-03"},{"title":"Position: Adversarial ML for LLMs Is Not Making Any Progress","abstract":"In the past decade, considerable research effort has been devoted to securing machine learning (ML) models that operate in adversarial settings. Yet, progress has been slow even for simple "toy" problems (e.g., robustness to small adversarial perturbations) and is often hindered by non-rigorous evaluations. Today, adversarial ML research has shifted towards studying larger, general-purpose language models. In","authors":["Rando, Javier","Zhang, Jie","Carlini, Nicholas","Tramèr, Florian"],"url":"https://arxiv.org/abs/2502.02260","arxiv_id":"2502.02260","published":"2026-06-03"},{"title":"ReciNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction","abstract":"Predicting properties of crystals from their structures is a fundamental yet challenging task in materials science. Unlike molecules, crystal structures exhibit infinite periodic arrangements of atoms, requiring methods capable of capturing both local and global information effectively. However, current works fall short of capturing long-range interactions within periodic structures. To address this, we leverage \\emp","authors":["Nie, Jianan","Xiao, Peiyao","Ji, Kaiyi","Gao, Peng"],"url":"https://arxiv.org/abs/2502.02748","arxiv_id":"2502.02748","published":"2026-06-03"},{"title":"Fast Sampling of Cosmological Initial Conditions with Gaussian Neural Posterior Estimation","abstract":"Knowledge of the primordial matter density field from which the large-scale structure of the Universe emerged over cosmic time is of fundamental importance for cosmology. However, reconstructing these cosmological initial conditions from late-time observations is a notoriously difficult task, which requires advanced cosmological simulators and sophisticated statistical methods to explore a multi-million-dimensional p","authors":["Savchenko, Oleg","Abellán, Guillermo Franco","List, Florian","Montel, Noemi Anau","Weniger, Christoph"],"url":"https://arxiv.org/abs/2502.03139","arxiv_id":"2502.03139","published":"2026-06-03"},{"title":"Greed is Good: A Unifying Perspective on Guided Generation","abstract":"Training-free guided generation is a widely used and powerful technique that allows the end user to exert further control over the generative process of flow/diffusion models. Generally speaking, two families of techniques have emerged for solving this problem for gradient-based guidance: namely, posterior guidance (i.e., guidance via projecting the current sample to the target distribution via the target prediction ","authors":["Blasingame, Zander W.","Liu, Chen"],"url":"https://arxiv.org/abs/2502.08006","arxiv_id":"2502.08006","published":"2026-06-03"}],"history":{"events":[{"year":2025,"text":"Prime minister of Mongolia Luvsannamsrain Oyun-Erdene resigned after weeks of protests.","url":"https://en.wikipedia.org/wiki/Prime_Minister_of_Mongolia"},{"year":1982,"text":"A failed assassination attempt was made on Shlomo Argov, the Israeli ambassador to the United Kingdom, triggering an Israeli decision to invade Lebanon three days later.","url":"https://en.wikipedia.org/wiki/Shlomo_Argov"},{"year":1979,"text":"Having invaded Uganda and deposed President Idi Amin, Tanzanian forces secured Uganda's western border, ending a seven-month war.","url":"https://en.wikipedia.org/wiki/Idi_Amin"},{"year":1973,"text":"At the Paris Air Show, a Tupolev Tu-144 broke up in mid-air, killing all six members of its crew and eight bystanders on the ground.","url":"https://en.wikipedia.org/wiki/Paris_Air_Show"},{"year":1969,"text":"During a SEATO exercise in the South China Sea, a collision between HMAS Melbourne and USS Frank E. Evans resulted in the latter vessel being cut in two and the deaths of 74 personnel.","url":"https://en.wikipedia.org/wiki/Southeast_Asia_Treaty_Organization"},{"year":1968,"text":"American radical feminist Valerie Solanas shot and wounded visual artist Andy Warhol and two others at Warhol's New York City studio, the Factory.","url":"https://en.wikipedia.org/wiki/Radical_feminism"},{"year":1963,"text":"Buddhist crisis: South Vietnamese soldiers attacked Buddhist protesters in Huế with liquid chemicals from tear gas grenades, causing 67 people to be hospitalised.","url":"https://en.wikipedia.org/wiki/Buddhist_crisis"},{"year":1950,"text":"Maurice Herzog and Louis Lachenal, members of the French Annapurna expedition, became the first climbers to reach the summit of a peak higher than 8,000 metres (26,247 ft) above sea level.","url":"https://en.wikipedia.org/wiki/Maurice_Herzog"},{"year":1941,"text":"World War II: In reprisal for the participation of the local population in the Battle of Crete, the German Wehrmacht destroyed the village of Kandanos, Greece, and killed about 180 of its inhabitants.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1940,"text":"Franz Rademacher, a Nazi official, proposed that the island of Madagascar be made available as a destination for the resettlement of the Jewish population of Europe.","url":"https://en.wikipedia.org/wiki/Franz_Rademacher"},{"year":1937,"text":"Half a year after abdicating the British throne, Edward, Duke of Windsor, married American socialite Wallis Simpson in a private ceremony in France.","url":"https://en.wikipedia.org/wiki/Abdication_of_Edward_VIII"},{"year":1921,"text":"At his trial for the assassination of Talaat Pasha, viewed as the main orchestrator of the Armenian genocide, Soghomon Tehlirian was acquitted after arguing: \"I have killed a man, but I am not a murderer.\"","url":"https://en.wikipedia.org/wiki/Assassination_of_Talaat_Pasha"},{"year":1917,"text":"A socialist convention in Leeds, United Kingdom, called for an end to the First World War and the establishment of Workers' and Soldiers' Delegates across the country.","url":"https://en.wikipedia.org/wiki/Leeds_Convention"},{"year":1892,"text":"Liverpool F.C. (stadium pictured), one of England's most successful football clubs, was founded.","url":"https://en.wikipedia.org/wiki/Liverpool_F.C."},{"year":1882,"text":"The British merchant ship Virago sank off Alderney with the loss of 26 crew.","url":"https://en.wikipedia.org/wiki/SS_Virago"},{"year":1844,"text":"The last known pair of great auks (one pictured), the only modern species in the genus Pinguinus of flightless birds, were killed on Eldey, Iceland.","url":"https://en.wikipedia.org/wiki/Great_auk"},{"year":1781,"text":"American Revolutionary War: Jack Jouett rode 40 miles (64 km) to warn Thomas Jefferson and the Virginia legislature of British cavalry who had been sent to capture them.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1770,"text":"Mission San Carlos Borromeo de Carmelo, a historic Catholic mission church in present-day Carmel-by-the-Sea, California, and the site of the first Christian confirmation in Alta California, was established.","url":"https://en.wikipedia.org/wiki/Mission_San_Carlos_Borromeo_de_Carmelo"}],"births":[{"year":2011,"text":"Yağız Kaan Erdoğmuş, Turkish chess prodigy and grandmaster","url":"https://en.wikipedia.org/wiki/Ya%C4%9F%C4%B1z_Kaan_Erdo%C4%9Fmu%C5%9F"},{"year":2005,"text":"Désiré Doué, French footballer","url":"https://en.wikipedia.org/wiki/D%C3%A9sir%C3%A9_Dou%C3%A9"},{"year":2002,"text":"Tyrell Sloan, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Tyrell_Sloan"},{"year":2001,"text":"Jalen Suggs, American basketball player","url":"https://en.wikipedia.org/wiki/Jalen_Suggs"},{"year":2000,"text":"Beabadoobee, Filipino singer-songwriter","url":"https://en.wikipedia.org/wiki/Beabadoobee"},{"year":1999,"text":"Cameron Green, Australian cricketer","url":"https://en.wikipedia.org/wiki/Cameron_Green"},{"year":1999,"text":"Dzhem Yamenov, Bulgarian politician","url":"https://en.wikipedia.org/wiki/Dzhem_Yamenov"},{"year":1998,"text":"Sam Curran, English cricketer","url":"https://en.wikipedia.org/wiki/Sam_Curran"}],"deaths":[{"year":2025,"text":"Jim Marshall, American football player (born 1937)","url":"https://en.wikipedia.org/wiki/Jim_Marshall_(defensive_end)"},{"year":2025,"text":"Shigeo Nagashima, Japanese baseball player and manager (born 1936)","url":"https://en.wikipedia.org/wiki/Shigeo_Nagashima"},{"year":2025,"text":"Edmund White, American novelist, memoirist and essayist (born 1940)","url":"https://en.wikipedia.org/wiki/Edmund_White"},{"year":2024,"text":"Brigitte Bierlein, former Austrian chancellor (born 1949)","url":"https://en.wikipedia.org/wiki/Brigitte_Bierlein"},{"year":2024,"text":"William Russell, English actor (born 1924)","url":"https://en.wikipedia.org/wiki/William_Russell_(English_actor)"},{"year":2021,"text":"F. Lee Bailey, American attorney (born 1933)","url":"https://en.wikipedia.org/wiki/F._Lee_Bailey"},{"year":2016,"text":"Muhammad Ali, American boxer (born 1942)","url":"https://en.wikipedia.org/wiki/Muhammad_Ali"},{"year":2015,"text":"Avi Beker, Israeli political scientist and academic (born 1951)","url":"https://en.wikipedia.org/wiki/Avi_Beker"}]},"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."}