{"date":"2026-04-06","schema_version":1,"captured_at":"2026-08-25T23:35:39.455Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Dhurandhar: The Revenge","views":283931,"rank":4,"extract":"Dhurandhar: The Revenge is a 2026 Indian Hindi-language spy action-thriller film written and directed by Aditya Dhar. It is produced by Dhar, Lokesh Dhar, and Jyoti Deshpande under Jio Studios and B62 Studios. It is a sequel to the 2025 film Dhurandhar and the","url":"https://en.wikipedia.org/wiki/Dhurandhar%3A_The_Revenge","thumb":"https://upload.wikimedia.org/wikipedia/en/c/c8/Dhurandhar-_The_Revenge_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Artemis II","views":203907,"rank":6,"extract":"Artemis II was a crewed flyby of the Moon. It is currently the only crewed flight beyond low Earth orbit since Apollo 17 in 1972. It was the first crewed flight of the NASA-led Artemis program, the first crewed flight of the Space Launch System (SLS), and the ","url":"https://en.wikipedia.org/wiki/Artemis_II","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/1/15/Earthset_%28art002e009288%29.jpg/330px-Earthset_%28art002e009288%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"The Drama (film)","views":195006,"rank":7,"extract":"The Drama is a 2026 American dark romantic comedy film written and directed by Kristoffer Borgli. 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He was drafted 11th overall in the 2026 NBA draft by the Warriors. Lendeborg played college basketball for the Arizona ","url":"https://en.wikipedia.org/wiki/Yaxel_Lendeborg","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8e/20260211_Yaxel_Lendeborg_05.jpg/330px-20260211_Yaxel_Lendeborg_05.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Something Very Bad Is Going to Happen","views":77338,"rank":30,"extract":"Something Very Bad Is Going to Happen is an American horror television miniseries created by Haley Z. Boston for Netflix. Boston serves as the series showrunner and is also an executive producer along with the Duffer Brothers. 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language modeling. With an ensemble setup consisting of a pretrained Transformer and ground-truth graphs from one of 7 different formalisms, we find that, overall, semantic constituency structures are most useful to language modeling performance -- outpacing syntactic constituency structures as well as syn","authors":["Prange, Jakob","Schneider, Nathan","Kong, Lingpeng"],"url":"https://arxiv.org/abs/2112.07874","arxiv_id":"2112.07874","published":"2026-04-06"},{"title":"Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model","abstract":"We use both Bayesian and neural models to dissect a data set of Chinese learners' pre- and post-interventional responses to two tests measuring their understanding of English prepositions. The results mostly replicate previous findings from frequentist analyses and newly reveal crucial interactions between student ability, task type, and stimulus sentence. Given the sparsity of the data as well as high diversity ","authors":["Prange, Jakob","Wong, Man Ho Ivy"],"url":"https://arxiv.org/abs/2302.08150","arxiv_id":"2302.08150","published":"2026-04-06"},{"title":"Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures","abstract":"In this work we build upon negative results from an attempt at language modeling with predicted semantic structure, in order to establish empirical lower bounds on what could have made the attempt successful. More specifically, we design a concise binary vector representation of semantic structure at the lexical level and evaluate in-depth how good an incremental tagger needs to be in order to achieve better-than-bas","authors":["Prange, Jakob","Chersoni, Emmanuele"],"url":"https://arxiv.org/abs/2305.18915","arxiv_id":"2305.18915","published":"2026-04-06"},{"title":"Distributed Quantum Neural Networks via Partitioned Features Encoding","abstract":"Quantum neural networks are expected to be a promising application in near-term quantum computing, but face challenges such as vanishing gradients during optimization and limited expressibility by a limited number of qubits and shallow circuits. To mitigate these challenges, an approach using distributed quantum neural networks has been proposed to make a prediction by approximating outputs of a large circuit using m","authors":["Kawase, Yoshiaki"],"url":"https://arxiv.org/abs/2312.13650","arxiv_id":"2312.13650","published":"2026-04-06"},{"title":"Efficient Causal Graph Discovery Using Large Language Models","abstract":"We propose a novel framework that leverages LLMs for full causal graph discovery. While previous LLM-based methods have used a pairwise query approach, this requires a quadratic number of queries which quickly becomes impractical for larger causal graphs. In contrast, the proposed framework uses a breadth-first search (BFS) approach which allows it to use only a linear number of queries. We also show that the propose","authors":["Jiralerspong, Thomas","Chen, Xiaoyin","More, Yash","Shah, Vedant","Bengio, Yoshua"],"url":"https://arxiv.org/abs/2402.01207","arxiv_id":"2402.01207","published":"2026-04-06"},{"title":"Prompting ChatGPT for Translation: A Comparative Analysis of Translation Brief and Persona Prompts","abstract":"Prompt engineering has shown potential for improving translation quality in LLMs. However, the possibility of using translation concepts in prompt design remains largely underexplored. Against this backdrop, the current paper discusses the effectiveness of incorporating the conceptual tool of translation brief and the personas of translator and author into prompt design for translation tasks in ChatGPT. Findings sugg","authors":["He, Sui"],"url":"https://arxiv.org/abs/2403.00127","arxiv_id":"2403.00127","published":"2026-04-06"},{"title":"As Good As A Coin Toss: Human detection of AI-generated images, videos, audio, and audiovisual stimuli","abstract":"One of the current principal defenses against weaponized synthetic media continues to be the ability of the targeted individual to visually or auditorily recognize AI-generated content when they encounter it. However, as the realism of synthetic media continues to rapidly improve, it is vital to have an accurate understanding of just how susceptible people currently are to potentially being misled by convincing but f","authors":["Cooke, Di","Edwards, Abigail","Barkoff, Sophia","Kelly, Kathryn"],"url":"https://arxiv.org/abs/2403.16760","arxiv_id":"2403.16760","published":"2026-04-06"},{"title":"Output-Constrained Decision Trees","abstract":"Incorporating domain-specific constraints into machine learning models is essential for generating predictions that are both accurate and feasible in real-world applications. This paper introduces new methods for training Output-Constrained Regression Trees (OCRT), addressing the limitations of traditional decision trees in constrained multi-target regression tasks. We propose three approaches: M-OCRT, which uses spl","authors":["Tunç, Hüseyin","Özese, Doğanay","Birbil, Ş. İlker","Maragno, Donato","Caserta, Marco","Baydoğan, Mustafa"],"url":"https://arxiv.org/abs/2405.15314","arxiv_id":"2405.15314","published":"2026-04-06"},{"title":"Swish-T : Enhancing Swish Activation with Tanh Bias for Improved Neural Network Performance","abstract":"We propose the Swish-T family, an enhancement of the existing non-monotonic activation function Swish. Swish-T is defined by adding a Tanh bias to the original Swish function. This modification creates a family of Swish-T variants, each designed to excel in different tasks, showcasing specific advantages depending on the application context. The Tanh bias allows for broader acceptance of negative values during initia","authors":["Seo, Youngmin","Kim, Jinha","Park, Unsang"],"url":"https://arxiv.org/abs/2407.01012","arxiv_id":"2407.01012","published":"2026-04-06"},{"title":"Motion Capture from Inertial and Vision Sensors","abstract":"Human motion capture is the foundation for many computer vision and graphics tasks. While industrial motion capture systems with complex camera arrays or expensive wearable sensors have been widely adopted in movie and game production, consumer-affordable and easy-to-use solutions for personal applications are still far from mature. To utilize a mixture of a monocular camera and very few inertial measurement units (I","authors":["Chen, Xiaodong","Liu, Wu","Bao, Qian","Liu, Xinchen","Dai, Ruoli","Zhang, Yongdong"],"url":"https://arxiv.org/abs/2407.16341","arxiv_id":"2407.16341","published":"2026-04-06"},{"title":"Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes","abstract":"There has been a lot of recent research on improving the efficiency of fine-tuning foundation models. In this paper, we propose a novel efficient fine-tuning method that allows the input image size of Segment Anything Model (SAM) to be variable. SAM is a powerful foundational model for image segmentation trained on huge datasets, but it requires fine-tuning to recognize arbitrary classes. The input image size of SAM ","authors":["Kato, Sota","Mitsuoka, Hinako","Hotta, Kazuhiro"],"url":"https://arxiv.org/abs/2408.12406","arxiv_id":"2408.12406","published":"2026-04-06"},{"title":"Expressive Prompting: Improving Emotion Intensity and Speaker Consistency in Zero-Shot TTS","abstract":"Recent advancements in speech synthesis have enabled large language model (LLM)-based systems to perform zero-shot generation with controllable content, timbre, speaker identity, and emotion through input prompts. As a result, these models heavily rely on prompt design to guide the generation process. However, existing prompt selection methods often fail to ensure that prompts contain sufficiently stable speaker iden","authors":["Wang, Haoyu","Qiang, Chunyu","Wang, Tianrui","Gong, Cheng","Jiang, Yu","Lu, Yuheng"],"url":"https://arxiv.org/abs/2409.18512","arxiv_id":"2409.18512","published":"2026-04-06"},{"title":"Amortized Inference of Causal Models via Conditional Fixed-Point Iterations","abstract":"Structural Causal Models (SCMs) offer a principled framework to reason about interventions and support out-of-distribution generalization, which are key goals in scientific discovery. However, the task of learning SCMs from observed data poses formidable challenges, and often requires training a separate model for each dataset. In this work, we propose an amortized inference framework that trains a single model to pr","authors":["Mahajan, Divyat","Gladrow, Jannes","Hilmkil, Agrin","Zhang, Cheng","Scetbon, Meyer"],"url":"https://arxiv.org/abs/2410.06128","arxiv_id":"2410.06128","published":"2026-04-06"},{"title":"S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack","abstract":"Transferable Targeted Attacks (TTAs) face significant challenges due to severe overfitting to surrogate models. Recent breakthroughs heavily rely on large-scale training data of victim models, while data-free solutions, \\textit{i.e.}, image transformation-involved gradient optimization, often depend on black-box feedback for method design and tuning. These dependencies violate black-box transfer settings and compromi","authors":["Liu, Yongxiang","Peng, Bowen","Liu, Li","Li, Xiang"],"url":"https://arxiv.org/abs/2410.13891","arxiv_id":"2410.13891","published":"2026-04-06"},{"title":"Fast and Efficient Transformer-based Method for Bird's Eye View Instance Prediction","abstract":"Accurate object detection and prediction are critical to ensure the safety and efficiency of self-driving architectures. Predicting object trajectories and occupancy enables autonomous vehicles to anticipate movements and make decisions with future information, increasing their adaptability and reducing the risk of accidents. Current State-Of-The-Art (SOTA) approaches often isolate the detection, tracking, and predic","authors":["Antunes-García, Miguel","Bergasa, Luis M.","Montiel-Marín, Santiago","Barea, Rafael","Sánchez-García, Fabio","Llamazares, Ángel"],"url":"https://arxiv.org/abs/2411.06851","arxiv_id":"2411.06851","published":"2026-04-06"},{"title":"Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes","abstract":"Precision medicine in musculoskeletal imaging requires scalable measurement infrastructure. We developed a modular system that converts routine MRI into standardized quantitative biomarkers suitable for clinical decision support. Promptable foundation segmenters (SAM, SAM2, MedSAM) were fine-tuned across heterogeneous musculoskeletal datasets and coupled to automated detection for fully automatic prompting. Fine-tune","authors":["Hoyer, Gabrielle","Tong, Michelle W","Bhattacharjee, Rupsa","Pedoia, Valentina","Majumdar, Sharmila"],"url":"https://arxiv.org/abs/2501.13376","arxiv_id":"2501.13376","published":"2026-04-06"},{"title":"From tools to thieves: Measuring and understanding public perceptions of AI through crowdsourced metaphors","abstract":"How has the public responded to the increasing prevalence of artificial intelligence (AI)-based technologies? We investigate public perceptions of AI by collecting over 12,000 responses over 12 months from a nationally representative U.S. sample. Participants provided open-ended metaphors reflecting their mental models of AI, a methodology that overcomes the limitations of traditional self-reported measures by captur","authors":["Cheng, Myra","Lee, Angela Y.","Rapuano, Kristina","Niederhoffer, Kate","Liebscher, Alex","Hancock, Jeffrey"],"url":"https://arxiv.org/abs/2501.18045","arxiv_id":"2501.18045","published":"2026-04-06"},{"title":"Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models","abstract":"The proliferation of diffusion models trained on web-scale, provenance-uncertain image collections has made it essential, yet technically unresolved, to determine whether a model has learned from specific copyrighted data without authorization. Current methods primarily rely on the memorization effect, whereby models reconstruct their training images better than unseen ones, to detect unauthorized training data on a ","authors":["Li, Muxing","Ye, Zesheng","Li, Sharon","Song, Andy","Zhang, Guangquan","Liu, Feng"],"url":"https://arxiv.org/abs/2502.02970","arxiv_id":"2502.02970","published":"2026-04-06"},{"title":"Zero-shot Concept Bottleneck Models","abstract":"Concept bottleneck models (CBMs) are inherently interpretable and intervenable neural network models, which explain their final label prediction by the intermediate prediction of high-level semantic concepts. However, they require target task training to learn input-to-concept and concept-to-label mappings, incurring target dataset collections and training resources. In this paper, we present zero-shot concept bottle","authors":["Yamaguchi, Shin'ya","Nishida, Kosuke","Chijiwa, Daiki","Ida, Yasutoshi"],"url":"https://arxiv.org/abs/2502.09018","arxiv_id":"2502.09018","published":"2026-04-06"},{"title":"Learn then Decide: A Learning Approach for Designing Data Marketplaces","abstract":"As data marketplaces become increasingly central to the digital economy, it is crucial to design efficient pricing mechanisms that optimize revenue while ensuring fair and adaptive pricing. We introduce the Maximum Auction-to-Posted Price (MAPP) mechanism, a novel two-stage approach that first estimates the bidders' value distribution through auctions and then determines the optimal posted price based on the lear","authors":["Gao, Yingqi","Xu, Wenlu","Zhou, Jin J.","Zhou, Hua","Chen, Yong","Dai, Xiaowu"],"url":"https://arxiv.org/abs/2503.10773","arxiv_id":"2503.10773","published":"2026-04-06"},{"title":"A Unified Approach to Analysis and Design of Denoising Markov Models","abstract":"Probabilistic generative models based on measure transport, such as diffusion and flow-based models, are often formulated in the language of Markovian stochastic dynamics, where the choice of the underlying process impacts both algorithmic design choices and theoretical analysis. In this paper, we aim to establish a rigorous mathematical foundation for denoising Markov models, a broad class of generative models that ","authors":["Ren, Yinuo","Rotskoff, Grant M.","Ying, Lexing"],"url":"https://arxiv.org/abs/2504.01938","arxiv_id":"2504.01938","published":"2026-04-06"},{"title":"We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback","abstract":"Current text-to-video (T2V) generation models are increasingly popular due to their ability to produce coherent videos from textual prompts. However, these models often struggle to generate semantically and temporally consistent videos when dealing with longer, more complex prompts involving multiple objects or sequential events. Additionally, the high computational costs associated with training or fine-tuning make ","authors":["Choi, Minkyu","Sharan, S P","Goel, Harsh","Shah, Sahil","Chinchali, Sandeep"],"url":"https://arxiv.org/abs/2504.17180","arxiv_id":"2504.17180","published":"2026-04-06"},{"title":"ELEPHANT: Measuring and understanding social sycophancy in LLMs","abstract":"LLMs are known to exhibit sycophancy: agreeing with and flattering users, even at the cost of correctness. Prior work measures sycophancy only as direct agreement with users' explicitly stated beliefs that can be compared to a ground truth. This fails to capture broader forms of sycophancy such as affirming a user's self-image or other implicit beliefs. To address this gap, we introduce social sycophancy, cha","authors":["Cheng, Myra","Yu, Sunny","Lee, Cinoo","Khadpe, Pranav","Ibrahim, Lujain","Jurafsky, Dan"],"url":"https://arxiv.org/abs/2505.13995","arxiv_id":"2505.13995","published":"2026-04-06"},{"title":"gen2seg: Generative Models Enable Generalizable Instance Segmentation","abstract":"By pretraining to synthesize coherent images from perturbed inputs, generative models inherently learn to understand object boundaries and scene compositions. How can we repurpose these generative representations for general-purpose perceptual organization? We finetune Stable Diffusion and MAE (encoder+decoder) for category-agnostic instance segmentation using our instance coloring loss exclusively on a narrow set of","authors":["Khangaonkar, Om","Pirsiavash, Hamed"],"url":"https://arxiv.org/abs/2505.15263","arxiv_id":"2505.15263","published":"2026-04-06"},{"title":"Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Output Prefilling","abstract":"Large Language Models (LLMs) are increasingly evaluated on multiple-choice question answering (MCQA) tasks using *first-token probability* (FTP), which selects the answer option whose initial token has the highest likelihood. While efficient, FTP can be fragile: models may assign high probability to unrelated tokens (*misalignment*) or use a valid token merely as part of a generic preamble rather than as a clear answ","authors":["Cappelletti, Silvia","Poppi, Tobia","Poppi, Samuele","Yong, Zheng-Xin","Garcia-Olano, Diego","Cornia, Marcella"],"url":"https://arxiv.org/abs/2505.15323","arxiv_id":"2505.15323","published":"2026-04-06"}],"history":{"events":[{"year":2026,"text":"During the Artemis II mission, the Orion made its closest approach to the far side of the Moon and reached its greatest distance from Earth .","url":"https://en.wikipedia.org/wiki/Artemis_II"},{"year":2018,"text":"A bus carrying the Humboldt Broncos collided with a semi-truck, killing 16 and injuring 13.","url":"https://en.wikipedia.org/wiki/Humboldt_Broncos"},{"year":2012,"text":"The National Movement for the Liberation of Azawad unilaterally declared the region of Azawad independent from Mali.","url":"https://en.wikipedia.org/wiki/National_Movement_for_the_Liberation_of_Azawad"},{"year":2011,"text":"Mexican drug war: Authorities discovered 59 bodies in clandestine mass graves linked to earlier bus hijackings in San Fernando, Tamaulipas.","url":"https://en.wikipedia.org/wiki/Mexican_drug_war"},{"year":2010,"text":"Naxalite–Maoist insurgency: Insurgents from the Communist Party of India (Maoist) ambushed a Central Reserve Police Force convoy in Dantewada district, India, killing 76 officers.","url":"https://en.wikipedia.org/wiki/Naxalite%E2%80%93Maoist_insurgency"},{"year":2009,"text":"An earthquake measuring 6.3 Mw struck near L'Aquila in the central Italian region of Abruzzo, killing 308 people and leaving more than 66,000 homeless.","url":"https://en.wikipedia.org/wiki/2009_L'Aquila_earthquake"},{"year":2009,"text":"Mass protests began across Moldova against the results of the parliamentary election.","url":"https://en.wikipedia.org/wiki/April_2009_Moldovan_parliamentary_election_protests"},{"year":2005,"text":"Kurdish leader Jalal Talabani was elected by the National Assembly as the first non-Arab president of Iraq.","url":"https://en.wikipedia.org/wiki/Kurds"},{"year":2004,"text":"Lithuanian president Rolandas Paksas became the first European head of state to be removed from office by impeachment.","url":"https://en.wikipedia.org/wiki/Rolandas_Paksas"},{"year":1994,"text":"The aircraft carrying Rwandan president Juvénal Habyarimana and Burundian president Cyprien Ntaryamira was shot down in Kigali; the event became the catalyst for the Rwandan genocide.","url":"https://en.wikipedia.org/wiki/Juv%C3%A9nal_Habyarimana"},{"year":1974,"text":"ABBA won the Eurovision Song Contest representing Sweden with the song \"Waterloo\".","url":"https://en.wikipedia.org/wiki/ABBA"},{"year":1970,"text":"Four California Highway Patrol officers were killed in a shootout following a traffic stop in Newhall, north of Los Angeles.","url":"https://en.wikipedia.org/wiki/California_Highway_Patrol"},{"year":1945,"text":"Second World War: The Battle of Slater's Knoll on Bougainville Island concluded with a decisive victory for the Australian Army's 7th Brigade against the Imperial Japanese Army's 6th Division.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1941,"text":"World War II: The Luftwaffe began Operation Retribution, bombing the Yugoslav capital of Belgrade in retaliation for a coup d'état that overthrew the government that had signed the Tripartite Pact.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1941,"text":"World War II: German forces invaded Greece and Yugoslavia.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1926,"text":"Varney Air Lines made its first commercial flight (flight covers pictured), later forming the basis of United Airlines.","url":"https://en.wikipedia.org/wiki/Varney_Air_Lines"},{"year":1830,"text":"Joseph Smith, Oliver Cowdery, David Whitmer and others formally organized the Church of Christ, starting the Latter Day Saint movement.","url":"https://en.wikipedia.org/wiki/Joseph_Smith"},{"year":1812,"text":"Peninsular War: After a three-week siege, the Anglo-Portuguese Army, under the Earl of Wellington, captured Badajoz, Spain, and forced the surrender of the French garrison.","url":"https://en.wikipedia.org/wiki/Peninsular_War"}],"births":[{"year":2009,"text":"Shaylee Mansfield, deaf American actress and YouTuber","url":"https://en.wikipedia.org/wiki/Shaylee_Mansfield"},{"year":2009,"text":"Valentina Tronel, French child singer","url":"https://en.wikipedia.org/wiki/Valentina_(French_singer)"},{"year":2002,"text":"Andrea Botez, Canadian-American chess player, commentator, Twitch streamer and YouTuber","url":"https://en.wikipedia.org/wiki/Andrea_Botez"},{"year":2002,"text":"Leyre Romero Gormaz, Spanish tennis player","url":"https://en.wikipedia.org/wiki/Leyre_Romero_Gormaz"},{"year":2001,"text":"Oscar Piastri, Australian racing driver","url":"https://en.wikipedia.org/wiki/Oscar_Piastri"},{"year":2001,"text":"Moritz Seider, German ice hockey player","url":"https://en.wikipedia.org/wiki/Moritz_Seider"},{"year":2000,"text":"Shaheen Afridi, Pakistani cricketer","url":"https://en.wikipedia.org/wiki/Shaheen_Shah_Afridi"},{"year":2000,"text":"Maxence Lacroix, French footballer","url":"https://en.wikipedia.org/wiki/Maxence_Lacroix"}],"deaths":[{"year":2026,"text":"Nick Pope, British UFO writer (born 1965)","url":"https://en.wikipedia.org/wiki/Nick_Pope_(journalist)"},{"year":2025,"text":"Clem Burke, American drummer (born 1954)","url":"https://en.wikipedia.org/wiki/Clem_Burke"},{"year":2025,"text":"Jay North, American actor (born 1951)","url":"https://en.wikipedia.org/wiki/Jay_North"},{"year":2024,"text":"Joseph E. Brennan, American politician, 70th Governor of Maine (born 1934)","url":"https://en.wikipedia.org/wiki/Joseph_E._Brennan"},{"year":2022,"text":"Vladimir Zhirinovsky, Russian and Soviet politician (born 1946)","url":"https://en.wikipedia.org/wiki/Vladimir_Zhirinovsky"},{"year":2022,"text":"Jill Knight, British politician (born 1923)","url":"https://en.wikipedia.org/wiki/Jill_Knight"},{"year":2021,"text":"Hans Küng, Swiss Catholic priest, theologian, and author (born 1928)","url":"https://en.wikipedia.org/wiki/Hans_K%C3%BCng"},{"year":2021,"text":"Alcee Hastings, American politician (born 1936)","url":"https://en.wikipedia.org/wiki/Alcee_Hastings"}]},"census":null,"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."}