{"date":"2025-11-26","schema_version":1,"captured_at":"2026-08-25T23:02:01.019Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Dharmendra","views":386721,"rank":3,"extract":"Dharmendra was an Indian actor, producer and politician, primarily known for his work in Hindi films. He is regarded as one of the greatest and most commercially successful actors in the history of Indian cinema. Known as the \"He-man\", he was popular for his h","url":"https://en.wikipedia.org/wiki/Dharmendra","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/a/a4/Shri_Dharmendra_Deol_on_April_04%2C_2012.jpg/330px-Shri_Dharmendra_Deol_on_April_04%2C_2012.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Sawyer Sweeten","views":314428,"rank":4,"extract":"Sawyer Storm Sweeten was an American child actor. 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.us","points":184,"comments":70,"url":"https://computer.rip/2025-11-11-dot-us.html","discussion":"https://news.ycombinator.com/item?id=46057266"},{"title":"I DM'd a Korean presidential candidate and ended up building his core campaign","points":178,"comments":92,"url":"https://medium.com/@wjsdj2008/i-dmd-a-korean-presidential-candidate-and-ended-up-building-his-core-campaign-platform-the-38eb1c5f5e7d","discussion":"https://news.ycombinator.com/item?id=46057304"}],"research":[{"title":"Graph Kernel Neural Networks","abstract":"The convolution operator at the core of many modern neural architectures can effectively be seen as performing a dot product between an input matrix and a filter. While this is readily applicable to data such as images, which can be represented as regular grids in the Euclidean space, extending the convolution operator to work on graphs proves more challenging, due to their irregular structure. In this paper, we prop","authors":["Cosmo, Luca","Minello, Giorgia","Bicciato, Alessandro","Bronstein, Michael","Rodolà, Emanuele","Rossi, Luca"],"url":"https://arxiv.org/abs/2112.07436","arxiv_id":"2112.07436","published":"2025-11-26"},{"title":"Natural Image Stitching Using Depth Maps","abstract":"Natural image stitching aims to create a single, natural-looking mosaic from overlapped images that capture the same 3D scene from different viewing positions. Challenges inevitably arise when the scene is non-planar and captured by handheld cameras since parallax is non-negligible in such cases. In this paper, we propose a novel image stitching method using depth maps, which generates accurate alignment mosaics agai","authors":["Liao, Tianli","Li, Nan"],"url":"https://arxiv.org/abs/2202.06276","arxiv_id":"2202.06276","published":"2025-11-26"},{"title":"Adversarial Bandits against Arbitrary Strategies","abstract":"We study the adversarial bandit problem against arbitrary strategies, where the difficulty is captured by an unknown parameter $S$, which is the number of switches in the best arm in hindsight. To handle this problem, we adopt the master-base framework using the online mirror descent method (OMD). We first provide a master-base algorithm with simple OMD, achieving $\\tilde{O}(S^{1/2}K^{1/3}T^{2/3})$, in which $T^{2/3}","authors":["Kim, Jung-hun","Yun, Se-Young"],"url":"https://arxiv.org/abs/2205.14839","arxiv_id":"2205.14839","published":"2025-11-26"},{"title":"Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions","abstract":"We present a fast, differentially private algorithm for high-dimensional covariance-aware mean estimation with nearly optimal sample complexity. Only exponential-time estimators were previously known to achieve this guarantee. Given $n$ samples from a (sub-)Gaussian distribution with unknown mean $μ$ and covariance $Σ$, our $(\\varepsilon,δ)$-differentially private estimator produces $\\tildeμ$ such that $\\|μ- \\tildeμ\\","authors":["Brown, Gavin","Hopkins, Samuel B.","Smith, Adam"],"url":"https://arxiv.org/abs/2301.12250","arxiv_id":"2301.12250","published":"2025-11-26"},{"title":"Influence of the Geometry of the world model on Curiosity Based Exploration","abstract":"In human spatial awareness, 3-D projective geometry structures information integration and action planning through perspective taking within an internal representation space. The way different perspectives are related and transform a world model defines a specific perception and imagination scheme. In mathematics, such collection of transformations corresponds to a 'group', whose 'actions' characteriz","authors":["Sergeant-Perthuis, Grégoire","Ruet, Nils","Rudrauf, David","Ognibene, Dimitri","Tisserand, Yvain"],"url":"https://arxiv.org/abs/2304.00188","arxiv_id":"2304.00188","published":"2025-11-26"},{"title":"Zoo Guide to Network Embedding","abstract":"Networks have provided extremely successful models of data and complex systems. Yet, as combinatorial objects, networks do not have in general intrinsic coordinates and do not typically lie in an ambient space. The process of assigning an embedding space to a network has attracted lots of interest in the past few decades, and has been efficiently applied to fundamental problems in network inference, such as link pred","authors":["Baptista, Anthony","Sánchez-García, Rubén J.","Baudot, Anaïs","Bianconi, Ginestra"],"url":"https://arxiv.org/abs/2305.03474","arxiv_id":"2305.03474","published":"2025-11-26"},{"title":"A Double Machine Learning Approach to Combining Experimental and Observational Data","abstract":"Experimental and observational studies often lack validity due to untestable assumptions. We propose a double machine learning approach to combine experimental and observational studies, allowing practitioners to test for assumption violations and estimate treatment effects consistently. Our framework proposes a falsification test for external validity and ignorability under milder assumptions. We provide consistent ","authors":["Parikh, Harsh","Morucci, Marco","Orlandi, Vittorio","Roy, Sudeepa","Rudin, Cynthia","Volfovsky, Alexander"],"url":"https://arxiv.org/abs/2307.01449","arxiv_id":"2307.01449","published":"2025-11-26"},{"title":"MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency","abstract":"Neural architecture search (NAS) has gained significant traction in automating the design of neural networks. To reduce search time, differentiable architecture search (DAS) reframes the traditional paradigm of discrete candidate sampling and evaluation into a differentiable optimization over a super-net, followed by discretization. However, most existing DAS methods primarily focus on optimizing the coarse-grained o","authors":["Liu, Xiaoyun","Saxena, Divya","Cao, Jiannong","Zhao, Yuqing","Ruan, Penghui"],"url":"https://arxiv.org/abs/2310.15074","arxiv_id":"2310.15074","published":"2025-11-26"},{"title":"Video Understanding with Large Language Models: A Survey","abstract":"With the burgeoning growth of online video platforms and the escalating volume of video content, the demand for proficient video understanding tools has intensified markedly. Given the remarkable capabilities of large language models (LLMs) in language and multimodal tasks, this survey provides a detailed overview of recent advancements in video understanding that harness the power of LLMs (Vid-LLMs). The emergent ca","authors":["Tang, Yolo Y.","Bi, Jing","Xu, Siting","Song, Luchuan","Liang, Susan","Wang, Teng"],"url":"https://arxiv.org/abs/2312.17432","arxiv_id":"2312.17432","published":"2025-11-26"},{"title":"SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM optimization","abstract":"In this paper, we introduce Segmentation-Driven Deformation Multi-View Stereo (SD-MVS), a method that can effectively tackle challenges in 3D reconstruction of textureless areas. We are the first to adopt the Segment Anything Model (SAM) to distinguish semantic instances in scenes and further leverage these constraints for pixelwise patch deformation on both matching cost and propagation. Concurrently, we propose a u","authors":["Yuan, Zhenlong","Cao, Jiakai","Li, Zhaoxin","Jiang, Hao","Wang, Zhaoqi"],"url":"https://arxiv.org/abs/2401.06385","arxiv_id":"2401.06385","published":"2025-11-26"},{"title":"ProactivePIM: Accelerating Weight-Sharing Embedding Layer with PIM for Scalable Recommendation System","abstract":"Although deep learning-based personalized recommendation systems provide qualified recommendations, they strain data center resources. The main bottleneck is the embedding layer, which is highly memory-intensive due to its sparse, irregular access patterns to embeddings. Recent near-memory processing (NMP) and processing-in-memory (PIM) architectures have addressed these issues by exploiting parallelism within memory","authors":["Kim, Youngsuk","Lim, Junghwan","Lee, Hyuk-Jae","Rhee, Chae Eun"],"url":"https://arxiv.org/abs/2402.04032","arxiv_id":"2402.04032","published":"2025-11-26"},{"title":"Zero-Shot Video Translation via Token Warping","abstract":"With the revolution of generative AI, video-related tasks have been widely studied. However, current state-of-the-art video models still lag behind image models in visual quality and user control over generated content. In this paper, we introduce TokenWarping, a novel framework for temporally coherent video translation. Existing diffusion-based video editing approaches rely solely on key and value patches in self-at","authors":["Zhu, Haiming","Xu, Yangyang","Yu, Jun","He, Shengfeng"],"url":"https://arxiv.org/abs/2402.12099","arxiv_id":"2402.12099","published":"2025-11-26"},{"title":"Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems","abstract":"While intrusion detection systems (IDSs) benefit from the diversity and generalization of IoT data features, the data diversity (e.g., the heterogeneity and high dimensions of data) also makes it difficult to train effective machine learning models in IoT IDSs. This also leads to potentially redundant/noisy features that may decrease the accuracy of the detection engine in IDSs. This paper first introduces a novel ne","authors":["Dinh, Phai Vu","Nguyen, Diep N.","Hoang, Dinh Thai","Nguyen, Quang Uy","Dutkiewicz, Eryk","Bao, Son Pham"],"url":"https://arxiv.org/abs/2403.15511","arxiv_id":"2403.15511","published":"2025-11-26"},{"title":"Categorical Flow Matching on Statistical Manifolds","abstract":"We introduce Statistical Flow Matching (SFM), a novel and mathematically rigorous flow-matching framework on the manifold of parameterized probability measures inspired by the results from information geometry. We demonstrate the effectiveness of our method on the discrete generation problem by instantiating SFM on the manifold of categorical distributions whose geometric properties remain unexplored in previous disc","authors":["Cheng, Chaoran","Li, Jiahan","Peng, Jian","Liu, Ge"],"url":"https://arxiv.org/abs/2405.16441","arxiv_id":"2405.16441","published":"2025-11-26"},{"title":"AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways","abstract":"An Artificial Intelligence (AI) agent is a software entity that autonomously performs tasks or makes decisions based on pre-defined objectives and data inputs. AI agents, capable of perceiving user inputs, reasoning and planning tasks, and executing actions, have seen remarkable advancements in algorithm development and task performance. However, the security challenges they pose remain under-explored and unresolved.","authors":["Deng, Zehang","Guo, Yongjian","Han, Changzhou","Ma, Wanlun","Xiong, Junwu","Wen, Sheng"],"url":"https://arxiv.org/abs/2406.02630","arxiv_id":"2406.02630","published":"2025-11-26"},{"title":"Demystifying Higher-Order Graph Neural Networks","abstract":"Higher-order graph neural networks (HOGNNs) and the related architectures from Topological Deep Learning are an important class of GNN models that harness polyadic relations between vertices beyond plain edges. They have been used to eliminate issues such as over-smoothing or over-squashing, to significantly enhance the accuracy of GNN predictions, to improve the expressiveness of GNN architectures, and for numerous ","authors":["Besta, Maciej","Scheidl, Florian","Gianinazzi, Lukas","Kwasniewski, Grzegorz","Klaiman, Shachar","Müller, Jürgen"],"url":"https://arxiv.org/abs/2406.12841","arxiv_id":"2406.12841","published":"2025-11-26"},{"title":"Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths","abstract":"Sliding-window attention offers a hardware-efficient solution to the memory and throughput challenges of Large Language Models (LLMs) in long-context scenarios. Existing methods typically employ a single window length across all attention heads and input sizes. However, this uniform approach fails to capture the heterogeneous attention patterns inherent in LLMs, ignoring their distinct accuracy-latency trade-offs. To","authors":["Fu, Tianyu","Huang, Haofeng","Ning, Xuefei","Zhang, Genghan","Chen, Boju","Wu, Tianqi"],"url":"https://arxiv.org/abs/2406.14909","arxiv_id":"2406.14909","published":"2025-11-26"},{"title":"GMT: Effective Global Framework for Multi-Camera Multi-Target Tracking","abstract":"Multi-Camera Multi-Target (MCMT) tracking aims to locate and associate the same targets across multiple camera views. Existing methods typically adopt a two-stage framework, involving single-camera tracking followed by inter-camera tracking. However, in this paradigm, multi-view information is used only to recover missed matches in the first stage, providing a limited contribution to overall tracking. To address this","authors":["Zhen, Yihao","Xu, Mingyue","Wang, Qiang","Fan, Baojie","Dong, Jiahua","Zhao, Tinghui"],"url":"https://arxiv.org/abs/2407.01007","arxiv_id":"2407.01007","published":"2025-11-26"},{"title":"A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control","abstract":"Virtual interventions enable the physics-based simulation of device deployment within coronary arteries. This framework allows for counterfactual reasoning by deploying the same device in different arterial anatomies. However, current methods to create such counterfactual arteries face a trade-off between controllability and realism. In this study, we investigate how Latent Diffusion Models (LDMs) can custom synthesi","authors":["Kadry, Karim","Gupta, Shreya","Sogbadji, Jonas","Schaap, Michiel","Petersen, Kersten","Mizukami, Takuya"],"url":"https://arxiv.org/abs/2407.15631","arxiv_id":"2407.15631","published":"2025-11-26"},{"title":"MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence","abstract":"Recent advancements in video generation have primarily leveraged diffusion models for short-duration content. However, these approaches often fall short in modeling complex narratives and maintaining character consistency over extended periods, which is essential for long-form video production like movies. We propose MovieDreamer, a novel hierarchical framework that integrates the strengths of autoregressive models w","authors":["Zhao, Canyu","Liu, Mingyu","Wang, Wen","Chen, Weihua","Wang, Fan","Chen, Hao"],"url":"https://arxiv.org/abs/2407.16655","arxiv_id":"2407.16655","published":"2025-11-26"},{"title":"MSP-MVS: Multi-Granularity Segmentation Prior Guided Multi-View Stereo","abstract":"Recently, patch deformation-based methods have demonstrated significant strength in multi-view stereo by adaptively expanding the reception field of patches to help reconstruct textureless areas. However, such methods mainly concentrate on searching for pixels without matching ambiguity (i.e., reliable pixels) when constructing deformed patches, while neglecting the deformation instability caused by unexpected edge-s","authors":["Yuan, Zhenlong","Liu, Cong","Shen, Fei","Li, Zhaoxin","Luo, Jinguo","Mao, Tianlu"],"url":"https://arxiv.org/abs/2407.19323","arxiv_id":"2407.19323","published":"2025-11-26"},{"title":"E$^{3}$NeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images","abstract":"Neural Radiance Fields (NeRF) achieves impressive novel view rendering performance by learning implicit 3D representation from sparse view images. However, it is difficult to reconstruct a sharp NeRF from blurry input that often occurs in the wild. To solve this problem, we propose a novel Efficient Event-Enhanced NeRF (E$^{3}$NeRF), reconstructing sharp NeRF by utilizing both blurry images and corresponding event st","authors":["Qi, Yunshan","Li, Jia","Zhao, Yifan","Zhang, Yu","Zhu, Lin"],"url":"https://arxiv.org/abs/2408.01840","arxiv_id":"2408.01840","published":"2025-11-26"},{"title":"OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding","abstract":"Open-vocabulary 3D scene understanding (OV-3D) aims to localize and classify novel objects beyond the closed set of object classes. However, existing approaches and benchmarks primarily focus on the open vocabulary problem within the context of object classes, which is insufficient in providing a holistic evaluation to what extent a model understands the 3D scene. In this paper, we introduce a more challenging task c","authors":["Zhao, Youjun","Lin, Jiaying","Ye, Shuquan","Pang, Qianshi","Lau, Rynson W. H."],"url":"https://arxiv.org/abs/2408.11030","arxiv_id":"2408.11030","published":"2025-11-26"},{"title":"Quantifying Behavioral Dissimilarity Between Mathematical Expressions","abstract":"Quantifying the similarity between mathematical expressions is a fundamental problem in computational mathematics, symbolic reasoning, and scientific discovery. While behavioral notions of similarity have previously been explored in the context of software and program analysis, existing measures for mathematical expressions rely primarily on syntactic form, assessing similarity through symbolic structure rather than ","authors":["Mežnar, Sebastian","Džeroski, Sašo","Todorovski, Ljupčo"],"url":"https://arxiv.org/abs/2408.11515","arxiv_id":"2408.11515","published":"2025-11-26"},{"title":"Vision Language Models Can Parse Floor Plan Maps","abstract":"Vision language models (VLMs) can simultaneously reason about images and texts to tackle many tasks, from visual question answering to image captioning. This paper focuses on map parsing, a novel task that is unexplored within the VLM context and particularly useful to mobile robots. Map parsing requires understanding not only the labels but also the geometric configurations of a map, i.e., what areas are like and ho","authors":["DeFazio, David","Mehta, Hrudayangam","Wang, Meng","Yang, Ping","Blackburn, Jeremy","Zhang, Shiqi"],"url":"https://arxiv.org/abs/2409.12842","arxiv_id":"2409.12842","published":"2025-11-26"}],"history":{"events":[{"year":2011,"text":"In a friendly-fire incident, a skirmish occurred between U.S.-led NATO forces and Pakistani security forces at two military checkposts along the Afghanistan–Pakistan border.","url":"https://en.wikipedia.org/wiki/Friendly_fire"},{"year":2011,"text":"NASA launched the Mars Science Laboratory mission from Cape Canaveral, carrying the Curiosity rover on board.","url":"https://en.wikipedia.org/wiki/NASA"},{"year":2008,"text":"A coordinated group of shooting and bombing attacks across Mumbai began, ultimately killing 175 people and wounding more than 300 others.","url":"https://en.wikipedia.org/wiki/2008_Mumbai_attacks"},{"year":1983,"text":"Six robbers broke into a Brink's-Mat warehouse at Heathrow Airport in London and stole £26 million in gold, diamonds and cash.","url":"https://en.wikipedia.org/wiki/Brink's"},{"year":1979,"text":"Pakistan International Airlines Flight 740, crashed shortly after takeoff near Taif, Saudi Arabia, killing all 156 people on board.","url":"https://en.wikipedia.org/wiki/Pakistan_International_Airlines_Flight_740"},{"year":1977,"text":"A speaker claiming to represent the \"Intergalactic Association\" interrupted a broadcast of Southern Television in South East England.","url":"https://en.wikipedia.org/wiki/Southern_Television_broadcast_interruption"},{"year":1942,"text":"Casablanca, starring Humphrey Bogart and Ingrid Bergman, premiered at the Hollywood Theatre in New York City to coincide with the Allied invasion of French North Africa and the capture of Casablanca.","url":"https://en.wikipedia.org/wiki/Casablanca_(film)"},{"year":1942,"text":"World War II: Josip Broz Tito and the Yugoslav Partisans convened the first meeting of the Anti-Fascist Council for the National Liberation of Yugoslavia at Bihać in northwestern Bosnia.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1942,"text":"A riot involving infantrymen, military police, and local law enforcement officers killed three people in Phoenix, Arizona.","url":"https://en.wikipedia.org/wiki/1942_Phoenix_Thanksgiving_Day_riot"},{"year":1940,"text":"The Iron Guard killed 64 political detainees at a penitentiary near Bucharest and followed up with several high-profile assassinations, including that of former Romanian prime minister Nicolae Iorga.","url":"https://en.wikipedia.org/wiki/Iron_Guard"},{"year":1939,"text":"The Soviet Red Army shelled the village of Mainila and then claimed that the fire originated from Finland, giving them a casus belli to launch the Winter War a few days later.","url":"https://en.wikipedia.org/wiki/Red_Army"},{"year":1921,"text":"The Bolshevik–Makhnovist conflict resumes with a surprise attack by the Red Army against the Makhnovshchina.","url":"https://en.wikipedia.org/wiki/Bolshevik%E2%80%93Makhnovist_conflict"},{"year":1917,"text":"Being unable to resolve disputes with Eddie Livingstone, owner of the Toronto Blueshirts, the other ice hockey clubs of Canada's National Hockey Association officially agreed to break away and form the National Hockey League.","url":"https://en.wikipedia.org/wiki/Eddie_Livingstone"},{"year":1914,"text":"A large internal explosion destroyed HMS Bulwark near Sheerness, killing 741 people on board.","url":"https://en.wikipedia.org/wiki/HMS_Bulwark_(1899)"},{"year":1852,"text":"A massive earthquake struck the Dutch East Indies, creating a tsunami that washed away villages, ships and residents.","url":"https://en.wikipedia.org/wiki/1852_Banda_Sea_earthquake"},{"year":1851,"text":"The French navy bombarded Salé, Morocco (pictured), damaging the city's infrastructure and its Great Mosque.","url":"https://en.wikipedia.org/wiki/Bombardment_of_Sal%C3%A9"},{"year":1842,"text":"The University of Notre Dame (building pictured) was founded by Edward Sorin of the Congregation of Holy Cross as an all-male institution in the U.S. state of Indiana.","url":"https://en.wikipedia.org/wiki/University_of_Notre_Dame"},{"year":1835,"text":"Texas Revolution: Texian forces attacked a Mexican pack train, capturing 40 saddlebags of grass.","url":"https://en.wikipedia.org/wiki/Texas_Revolution"}],"births":[{"year":2001,"text":"Pau Víctor, Spanish footballer","url":"https://en.wikipedia.org/wiki/Pau_V%C3%ADctor"},{"year":2000,"text":"Lamecha Girma, Ethiopian athlete","url":"https://en.wikipedia.org/wiki/Lamecha_Girma"},{"year":1999,"text":"Jaycee Horn, American football player","url":"https://en.wikipedia.org/wiki/Jaycee_Horn"},{"year":1999,"text":"Olivia O'Brien, American singer-songwriter","url":"https://en.wikipedia.org/wiki/Olivia_O'Brien"},{"year":1999,"text":"Jacob Shaffelburg, Canadian soccer player","url":"https://en.wikipedia.org/wiki/Jacob_Shaffelburg"},{"year":1998,"text":"Shivam Mavi, Indian cricketer","url":"https://en.wikipedia.org/wiki/Shivam_Mavi"},{"year":1997,"text":"Aubrey Joseph, American actor","url":"https://en.wikipedia.org/wiki/Aubrey_Joseph"},{"year":1997,"text":"Jennie Wåhlin, Swedish curler","url":"https://en.wikipedia.org/wiki/Jennie_W%C3%A5hlin"}],"deaths":[{"year":2024,"text":"Jim Abrahams, American film director and writer (born 1944)","url":"https://en.wikipedia.org/wiki/Jim_Abrahams"},{"year":2022,"text":"Vikram Gokhale, Indian actor and director (born 1945)","url":"https://en.wikipedia.org/wiki/Vikram_Gokhale"},{"year":2021,"text":"Stephen Sondheim, American composer and lyricist (born 1930)","url":"https://en.wikipedia.org/wiki/Stephen_Sondheim"},{"year":2018,"text":"Stephen Hillenburg, American animator, voice actor, and marine science educator (born 1961)","url":"https://en.wikipedia.org/wiki/Stephen_Hillenburg"},{"year":2016,"text":"Fritz Weaver, American actor (born 1926)","url":"https://en.wikipedia.org/wiki/Fritz_Weaver"},{"year":2015,"text":"Amir Aczel, Israeli-American mathematician, historian, and academic (born 1950)","url":"https://en.wikipedia.org/wiki/Amir_Aczel"},{"year":2015,"text":"Guy Lewis, American basketball player and coach (born 1922)","url":"https://en.wikipedia.org/wiki/Guy_Lewis"},{"year":2014,"text":"Mary Hinkson, American dancer and choreographer (born 1925)","url":"https://en.wikipedia.org/wiki/Mary_Hinkson"}]},"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 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Every item links to its source."}