{"date":"2026-01-09","schema_version":1,"captured_at":"2026-08-25T23:23:17.935Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Killing of Renée Good","views":667048,"rank":3,"extract":"On January 7, 2026, Renée Nicole Macklin Good, a 37-year-old American woman, was fatally shot by United States Immigration and Customs Enforcement (ICE) agent Jonathan Ross in Minneapolis, Minnesota, during Operation Metro Surge. 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We re-examined both of these games, and calculated extended strong solutions for them. By this we mean the game-theoretic values of all possible game states that could be reached from certain starting positions where the number of stones to be placed by the players is different from ","authors":["Gévay, Gábor E.","Danner, Gábor"],"url":"https://arxiv.org/abs/1408.0032","arxiv_id":"1408.0032","published":"2026-01-09"},{"title":"Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing","abstract":"Compressed sensing has been a very successful high-dimensional signal acquisition and recovery technique that relies on linear operations. However, the actual measurements of signals have to be quantized before storing or processing. 1(One)-bit compressed sensing is a heavily quantized version of compressed sensing, where each linear measurement of a signal is reduced to just one bit: the sign of the measurement. Onc","authors":["Matsumoto, Namiko","Mazumdar, Arya"],"url":"https://arxiv.org/abs/2207.03427","arxiv_id":"2207.03427","published":"2026-01-09"},{"title":"Topology-Informed Graph Transformer","abstract":"Transformers have revolutionized performance in Natural Language Processing and Vision, paving the way for their integration with Graph Neural Networks (GNNs). One key challenge in enhancing graph transformers is strengthening the discriminative power of distinguishing isomorphisms of graphs, which plays a crucial role in boosting their predictive performances. To address this challenge, we introduce 'Topology-In","authors":["Choi, Yun Young","Park, Sun Woo","Lee, Minho","Woo, Youngho"],"url":"https://arxiv.org/abs/2402.02005","arxiv_id":"2402.02005","published":"2026-01-09"},{"title":"Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities","abstract":"In this work, we propose a simple theoretical framework, Pelican Soup, aiming to better understand how pretraining allows LLMs to (1) generalize to unseen instructions and (2) perform in-context learning, even when the verbalizers are irrelevant to the task. To this end, in our framework, we introduce the notion of "knowledge base" and "reference-sense association" and a simple formalism for natural l","authors":["Chiang, Ting-Rui","Yogatama, Dani"],"url":"https://arxiv.org/abs/2402.10424","arxiv_id":"2402.10424","published":"2026-01-09"},{"title":"GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks","abstract":"Graph Neural Networks (GNNs) have demonstrated impressive performance across various tasks, leading to their increased adoption in high-stakes decision-making systems. However, concerns have arisen about GNNs potentially generating unfair decisions for underprivileged groups or individuals when lacking fairness constraints. This work addresses this issue by introducing GraphGini, a novel approach that incorporates th","authors":["Sirohi, Anuj Kumar","Gupta, Anjali","Kumar, Sandeep","Bagchi, Amitabha","Ranu, Sayan"],"url":"https://arxiv.org/abs/2402.12937","arxiv_id":"2402.12937","published":"2026-01-09"},{"title":"Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation","abstract":"The Natural Language Interface to Databases (NLIDB) empowers non-technical users with database access through intuitive natural language (NL) interactions. Advanced approaches, utilizing neural sequence-to-sequence models or large-scale language models, typically employ auto-regressive decoding to generate unique SQL queries sequentially. While these translation models have greatly improved the overall translation ac","authors":["Fan, Yuankai","He, Zhenying","Ren, Tonghui","Huang, Can","Jing, Yinan","Zhang, Kai"],"url":"https://arxiv.org/abs/2402.17144","arxiv_id":"2402.17144","published":"2026-01-09"},{"title":"Controllable Generation with Text-to-Image Diffusion Models: A Survey","abstract":"In the rapidly advancing realm of visual generation, diffusion models have revolutionized the landscape, marking a significant shift in capabilities with their impressive text-guided generative functions. However, relying solely on text for conditioning these models does not fully cater to the varied and complex requirements of different applications and scenarios. Acknowledging this shortfall, a variety of studies a","authors":["Cao, Pu","Zhou, Feng","Song, Qing","Yang, Lu"],"url":"https://arxiv.org/abs/2403.04279","arxiv_id":"2403.04279","published":"2026-01-09"},{"title":"Extreme Solar Flare Prediction Using Residual Networks with HMI Magnetograms and Intensitygrams","abstract":"Solar flares, especially C, M, and X class, pose significant risks to satellite operations, communication systems, and power grids. We present a novel approach for predicting extreme solar flares using HMI intensitygrams and magnetograms. By detecting sunspots from intensitygrams and extracting magnetic field patches from magnetograms, we train a Residual Network (ResNet) to classify extreme class flares. Our model d","authors":["Yun, Juyoung","Shin, Jungmin"],"url":"https://arxiv.org/abs/2405.14750","arxiv_id":"2405.14750","published":"2026-01-09"},{"title":"A Counterfactual Analysis of the Dishonest Casino","abstract":"The dishonest casino is a well-known hidden Markov model (HMM) often used in education to introduce HMMs and graphical models. A sequence of die rolls is observed with the casino switching between a fair and a loaded die. Instead of recovering the latent regime through filtering, smoothing, or the Viterbi algorithm, we ask a counterfactual question: how much of the gambler's winnings are caused by the casino'","authors":["Haugh, Martin","Singal, Raghav"],"url":"https://arxiv.org/abs/2405.15120","arxiv_id":"2405.15120","published":"2026-01-09"},{"title":"What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions","abstract":"Autoregressive language models have demonstrated a remarkable ability to extract latent structure from text. The embeddings from large language models have been shown to capture aspects of the syntax and semantics of language. But what should embeddings represent? We connect the autoregressive prediction objective to the idea of constructing predictive sufficient statistics to summarize the information contained in a","authors":["Zhang, Liyi","Li, Michael Y.","McCoy, R. Thomas","Sumers, Theodore R.","Zhu, Jian-Qiao","Griffiths, Thomas L."],"url":"https://arxiv.org/abs/2406.03707","arxiv_id":"2406.03707","published":"2026-01-09"},{"title":"Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions","abstract":"Federated Learning (FL) enables decentralized machine learning while preserving data privacy, making it ideal for sensitive applications where data cannot be shared. While FL has been widely studied in supervised contexts, its application to unsupervised learning remains underdeveloped. This work introduces FedCRef, a novel unsupervised federated learning method designed to uncover all underlying data distributions a","authors":["Nardi, Mirko","Valerio, Lorenzo","Passarella, Andrea"],"url":"https://arxiv.org/abs/2408.10664","arxiv_id":"2408.10664","published":"2026-01-09"},{"title":"BOP-Distrib: Revisiting 6D Pose Estimation Benchmarks for Better Evaluation under Visual Ambiguities","abstract":"6D pose estimation aims at determining the object pose that best explains the camera observation. The unique solution for non-ambiguous objects can turn into a multi-modal pose distribution for symmetrical objects or when occlusions of symmetry-breaking elements happen, depending on the viewpoint. Currently, 6D pose estimation methods are benchmarked on datasets that consider, for their ground truth annotations, visu","authors":["Meden, Boris","Brazi, Asma","de Chamisso, Fabrice Mayran","Bourgeois, Steve","Lepetit, Vincent"],"url":"https://arxiv.org/abs/2408.17297","arxiv_id":"2408.17297","published":"2026-01-09"},{"title":"Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems","abstract":"Fourier Neural Operators (FNOs) excel on tasks using functional data, such as those originating from partial differential equations. Such characteristics render them an effective approach for simulating the time evolution of quantum wavefunctions, which is a computationally challenging, yet coveted task for studying quantum systems. In this manuscript, we use FNOs to model the evolution of quantum spin systems, so ch","authors":["Shah, Freya","Patti, Taylor L.","Berner, Julius","Tolooshams, Bahareh","Kossaifi, Jean","Anandkumar, Anima"],"url":"https://arxiv.org/abs/2409.03302","arxiv_id":"2409.03302","published":"2026-01-09"},{"title":"Surface solar radiation: AI satellite retrieval can outperform Heliosat and generalizes well to other climate zones","abstract":"Accurate estimates of surface solar irradiance (SSI) are essential for solar resource assessments and solar energy forecasts in grid integration and building control applications. SSI estimates for spatially extended regions can be retrieved from geostationary satellites such as Meteosat. Traditional SSI satellite retrievals like Heliosat rely on physical radiative transfer modelling. We introduce the first machine-l","authors":["Schuurman, K. R.","Meyer, A."],"url":"https://arxiv.org/abs/2409.16316","arxiv_id":"2409.16316","published":"2026-01-09"},{"title":"ChakmaNMT: Machine Translation for a Low-Resource and Endangered Language via Transliteration","abstract":"We present the first systematic study of machine translation for Chakma, an endangered and extremely low-resource Indo-Aryan language, with the goal of supporting language access and preservation. We introduce a new Chakma-Bangla parallel and monolingual dataset, along with a trilingual Chakma-Bangla-English benchmark for evaluation. To address script mismatch and data scarcity, we propose a character-level translite","authors":["Chakma, Aunabil","Chakma, Aditya","Hasan, Masum","Khisa, Soham","Tripura, Chumui","Shahriyar, Rifat"],"url":"https://arxiv.org/abs/2410.10219","arxiv_id":"2410.10219","published":"2026-01-09"},{"title":"Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads","abstract":"Generating speech-driven 3D talking heads presents numerous challenges; among those is dealing with varying mesh topologies where no point-wise correspondence exists across the meshes the model can animate. While previous literature works assume fixed mesh structures, in this work we present the first framework capable of animating 3D faces in arbitrary topologies, including real scanned data. Our approach leverages ","authors":["Nocentini, Federico","Besnier, Thomas","Ferrari, Claudio","Arguillere, Sylvain","Daoudi, Mohamed","Berretti, Stefano"],"url":"https://arxiv.org/abs/2410.11041","arxiv_id":"2410.11041","published":"2026-01-09"},{"title":"Explainable Binary Classification of Separable Shape Ensembles","abstract":"Scientists, engineers, biologists, and technology specialists universally leverage image segmentation to extract shape ensembles containing many thousands of curves representing patterns in observations and measurements. These large curve ensembles facilitate inferences about important changes when comparing and contrasting images. We introduce novel pattern recognition formalisms combined with inference methods over","authors":["Grey, Zachary","Fisher, Nicholas","Glaws, Andrew"],"url":"https://arxiv.org/abs/2410.12994","arxiv_id":"2410.12994","published":"2026-01-09"},{"title":"BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces","abstract":"Offline reinforcement learning in high-dimensional, discrete action spaces is challenging due to the exponential scaling of the joint action space with the number of sub-actions and the complexity of modeling sub-action dependencies. Existing methods either exhaustively evaluate the action space, making them computationally infeasible, or factorize Q-values, failing to represent joint sub-action effects. We propose B","authors":["Landers, Matthew","Killian, Taylor W.","Barnes, Hugo","Hartvigsen, Thomas","Doryab, Afsaneh"],"url":"https://arxiv.org/abs/2410.21151","arxiv_id":"2410.21151","published":"2026-01-09"},{"title":"AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives","abstract":"Prostate cancer diagnosis through MR imaging have currently relied on radiologists' interpretation, whilst modern AI-based methods have been developed to detect clinically significant cancers independent of radiologists. In this study, we propose to develop deep learning models that improve the overall cancer diagnostic accuracy, by classifying radiologist-identified patients or lesions (i.e. radiologist-positive","authors":["Wu, Xiangcen","Wang, Yipei","Yang, Qianye","Thorley, Natasha","Punwani, Shonit","Kasivisvanathan, Veeru"],"url":"https://arxiv.org/abs/2410.23084","arxiv_id":"2410.23084","published":"2026-01-09"},{"title":"$π_0$: A Vision-Language-Action Flow Model for General Robot Control","abstract":"Robot learning holds tremendous promise to unlock the full potential of flexible, general, and dexterous robot systems, as well as to address some of the deepest questions in artificial intelligence. However, bringing robot learning to the level of generality required for effective real-world systems faces major obstacles in terms of data, generalization, and robustness. In this paper, we discuss how generalist robot","authors":["Black, Kevin","Brown, Noah","Driess, Danny","Esmail, Adnan","Equi, Michael","Finn, Chelsea"],"url":"https://arxiv.org/abs/2410.24164","arxiv_id":"2410.24164","published":"2026-01-09"},{"title":"Grounding Natural Language to SQL Translation with Data-Based Self-Explanations","abstract":"Natural Language Interfaces for Databases empower non-technical users to interact with data using natural language (NL). Advanced approaches, utilizing either neural sequence-to-sequence or more recent sophisticated large-scale language models, typically implement NL to SQL (NL2SQL) translation in an end-to-end fashion. However, like humans, these end-to-end translation models may not always generate the best SQL out","authors":["Fan, Yuankai","Ren, Tonghui","Huang, Can","He, Zhenying","Wang, X. Sean"],"url":"https://arxiv.org/abs/2411.02948","arxiv_id":"2411.02948","published":"2026-01-09"},{"title":"Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network","abstract":"Feature selection is critical for improving the performance and interpretability of machine learning models, particularly in high-dimensional spaces where complex feature interactions can reduce accuracy and increase computational demands. Existing approaches often rely on static feature subsets or manual intervention, limiting adaptability and scalability. However, dynamic, per-instance feature selection methods and","authors":["Jahin, Md Abrar","Mridha, M. F.","Dey, Nilanjan","Hossen, Md. Jakir"],"url":"https://arxiv.org/abs/2411.03740","arxiv_id":"2411.03740","published":"2026-01-09"},{"title":"SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection","abstract":"Developing robust drone detection systems is often constrained by the limited availability of large-scale annotated training data and the high costs associated with real-world data collection. However, leveraging synthetic data generated via game engine-based simulations provides a promising and cost-effective solution to overcome this issue. Therefore, we present SynDroneVision, a synthetic dataset specifically desi","authors":["Lenhard, Tamara R.","Weinmann, Andreas","Franke, Kai","Koch, Tobias"],"url":"https://arxiv.org/abs/2411.05633","arxiv_id":"2411.05633","published":"2026-01-09"},{"title":"Meta-Learning Objectives for Preference Optimization","abstract":"Evaluating preference optimization (PO) algorithms on LLM alignment is a challenging task that presents prohibitive costs, noise, and several variables like model size and hyper-parameters. In this work, we show that it is possible to gain insights on the efficacy of PO algorithm on simpler benchmarks. We design a diagnostic suite of MuJoCo tasks and datasets, which we use to systematically evaluate PO algorithms, es","authors":["Alfano, Carlo","Sapora, Silvia","Foerster, Jakob Nicolaus","Rebeschini, Patrick","Teh, Yee Whye"],"url":"https://arxiv.org/abs/2411.06568","arxiv_id":"2411.06568","published":"2026-01-09"},{"title":"AI red-teaming is a sociotechnical problem: on values, labor, and harms","abstract":"As generative AI technologies find more and more real-world applications, the importance of testing their performance and safety seems paramount. "Red-teaming" has quickly become the primary approach to test AI models--prioritized by AI companies, and enshrined in AI policy and regulation. Members of red teams act as adversaries, probing AI systems to test their safety mechanisms and uncover vulnerabilities. ","authors":["Gillespie, Tarleton","Shaw, Ryland","Gray, Mary L.","Suh, Jina"],"url":"https://arxiv.org/abs/2412.09751","arxiv_id":"2412.09751","published":"2026-01-09"}],"history":{"events":[{"year":2015,"text":"Contaminated beer served at a funeral in Tete Province, Mozambique, killed 75 people and made at least 230 others ill.","url":"https://en.wikipedia.org/wiki/Mozambique_funeral_beer_poisoning"},{"year":2015,"text":"A hostage situation, related to the Charlie Hebdo shooting, occurred at a Jewish market in Vincennes.","url":"https://en.wikipedia.org/wiki/Hypercacher_kosher_supermarket_siege"},{"year":2011,"text":"In poor weather conditions, Iran Air Flight 277 (aircraft pictured) crashed near Urmia Airport, Iran, killing 78 of the 105 people on board.","url":"https://en.wikipedia.org/wiki/Iran_Air_Flight_277"},{"year":1996,"text":"First Chechen War: Chechen separatists launched raids in the city of Kizlyar, Dagestan, which turned into a massive hostage crisis involving thousands of civilians.","url":"https://en.wikipedia.org/wiki/First_Chechen_War"},{"year":1992,"text":"Radio astronomers Aleksander Wolszczan and Dale Frail announced the discovery of two pulsar planets orbiting PSR B1257+12 (depicted), the first confirmed detection of exoplanets.","url":"https://en.wikipedia.org/wiki/Aleksander_Wolszczan"},{"year":1991,"text":"Representatives from the United States and Iraq met at the Geneva Peace Conference to find a peaceful resolution to the Iraqi invasion of Kuwait.","url":"https://en.wikipedia.org/wiki/Geneva_Peace_Conference_(1991)"},{"year":1981,"text":"U.S. representative Raymond Lederer was convicted of bribery and conspiracy for his role in the Abscam scandal, but continued to serve his term for three more months.","url":"https://en.wikipedia.org/wiki/Raymond_Lederer"},{"year":1978,"text":"Iranian Revolution: Protests took place in Qom after an article insulting Ruhollah Khomeini was published.","url":"https://en.wikipedia.org/wiki/Iranian_Revolution"},{"year":1975,"text":"The Great Storm spawned the first of 45 tornadoes over a three-day period in the Southeastern United States.","url":"https://en.wikipedia.org/wiki/Great_Storm_of_1975"},{"year":1972,"text":"The Los Angeles Lakers of the National Basketball Association lost to the Milwaukee Bucks, ending a 33-game winning streak, the longest in major American professional team sports.","url":"https://en.wikipedia.org/wiki/Los_Angeles_Lakers"},{"year":1972,"text":"Seawise University, formerly RMS Queen Elizabeth (pictured), an ocean liner that sailed the Atlantic for Cunard Line, caught fire in Victoria Harbour, Hong Kong.","url":"https://en.wikipedia.org/wiki/RMS_Queen_Elizabeth"},{"year":1970,"text":"The Presidential Council for Minority Rights, an appointed body to review legislation and prevent discrimination against minorities, was created in Singapore.","url":"https://en.wikipedia.org/wiki/Presidential_Council_for_Minority_Rights"},{"year":1917,"text":"First World War: Troops of the British Empire defeated Ottoman forces at the Battle of Rafa on the Sinai–Palestine border.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1917,"text":"World War I: A meeting of the German Crown Council decided upon the resumption of unrestricted submarine warfare.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1857,"text":"An earthquake registering 7.9 Mw ruptured part of the San Andreas Fault in central and southern California.","url":"https://en.wikipedia.org/wiki/1857_Fort_Tejon_earthquake"},{"year":1797,"text":"War of the First Coalition: The siege of Kehl by Habsburg and Württembergian forces ended when French troops withdrew from their fortifications.","url":"https://en.wikipedia.org/wiki/War_of_the_First_Coalition"}],"births":[{"year":2006,"text":"Sarah Toscano, Italian singer-songwriter and actress","url":"https://en.wikipedia.org/wiki/Sarah_Toscano"},{"year":2004,"text":"Souhardya De, Indian author and columnist","url":"https://en.wikipedia.org/wiki/Souhardya_De"},{"year":2003,"text":"Sangiovanni, Italian singer-songwriter","url":"https://en.wikipedia.org/wiki/Sangiovanni"},{"year":2001,"text":"Eric García, Spanish footballer","url":"https://en.wikipedia.org/wiki/Eric_Garcia_(footballer%2C_born_2001)"},{"year":2001,"text":"Peter Mamouzelos, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Peter_Mamouzelos"},{"year":2001,"text":"Zeke Nnaji, American basketball player","url":"https://en.wikipedia.org/wiki/Zeke_Nnaji"},{"year":2000,"text":"Luka Šamanić, Croatian basketball player","url":"https://en.wikipedia.org/wiki/Luka_%C5%A0amani%C4%87"},{"year":1998,"text":"Kerris Dorsey, American actress","url":"https://en.wikipedia.org/wiki/Kerris_Dorsey"}],"deaths":[{"year":2025,"text":"Black Bart, American professional wrestler (born 1948)","url":"https://en.wikipedia.org/wiki/Black_Bart_(wrestler)"},{"year":2024,"text":"Rashid Khan, Indian classical musician (born 1968)","url":"https://en.wikipedia.org/wiki/Rashid_Khan_(musician)"},{"year":2023,"text":"Séamus Begley, Irish accordion player, fiddler and Irish traditional musician (born 1949)","url":"https://en.wikipedia.org/wiki/S%C3%A9amus_Begley"},{"year":2022,"text":"Bob Saget, American comedian, actor, and television host (born 1956)","url":"https://en.wikipedia.org/wiki/Bob_Saget"},{"year":2022,"text":"Maria Ewing, American opera singer (born 1950)","url":"https://en.wikipedia.org/wiki/Maria_Ewing"},{"year":2021,"text":"John Reilly, American actor (born 1934)","url":"https://en.wikipedia.org/wiki/John_Reilly_(actor%2C_born_1934)"},{"year":2019,"text":"Verna Bloom, American actress (born 1938)","url":"https://en.wikipedia.org/wiki/Verna_Bloom"},{"year":2019,"text":"Paul Koslo, German-Canadian actor (born 1944)","url":"https://en.wikipedia.org/wiki/Paul_Koslo"}]},"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."}