{"date":"2026-01-15","schema_version":1,"captured_at":"2026-08-25T23:24:10.785Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Scott Adams","views":408433,"rank":3,"extract":"Scott Raymond Adams was an American cartoonist, author, and commentator. He is best known as the creator of the Dilbert comic strip and nonfiction works of business, self-improvement, commentary, and satire.","url":"https://en.wikipedia.org/wiki/Scott_Adams","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/0/07/Scott_Adams_2017.png/330px-Scott_Adams_2017.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Timothy Busfield","views":204104,"rank":5,"extract":"Timothy Busfield is an American actor and director. 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OpenCode","points":173,"comments":154,"url":"https://gist.github.com/R44VC0RP/bd391f6a23185c0fed6c6b5fb2bac50e","discussion":"https://news.ycombinator.com/item?id=46625918"}],"research":[{"title":"A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior","abstract":"An open problem in autonomous driving research is modeling human driving behavior, which is needed for the planning component of the autonomy stack, safety validation through traffic simulation, and causal inference for generating explanations for autonomous driving. Modeling human driving behavior is challenging because it is stochastic, high-dimensional, and involves interaction between multiple agents. This proble","authors":["Bhattacharyya, Raunak P.","Brown, Kyle","Wang, Juanran","Driggs-Campbell, Katherine","Kochenderfer, Mykel J."],"url":"https://arxiv.org/abs/2006.08832","arxiv_id":"2006.08832","published":"2026-01-15"},{"title":"Reinforcement Learning with Exogenous States and Rewards","abstract":"Exogenous state variables and rewards can slow reinforcement learning by injecting uncontrolled variation into the reward signal. This paper formalizes exogenous state variables and rewards and shows that if the reward function decomposes additively into endogenous and exogenous components, the MDP can be decomposed into an exogenous Markov Reward Process (based on the exogenous reward) and an endogenous Markov Decis","authors":["Trimponias, George","Dietterich, Thomas G."],"url":"https://arxiv.org/abs/2303.12957","arxiv_id":"2303.12957","published":"2026-01-15"},{"title":"Beyond One-Size-Fits-All: A Survey of Personalized Affective Computing in Human-Agent Interaction","abstract":"In personalized machine learning, the aim of personalization is to train a model that caters to a specific individual or group of individuals by optimizing one or more performance metrics and adhering to specific constraints. In this paper, we discuss the need for personalization in affective computing and present the first survey of existing approaches for personalization in affective computing. Our review spans tra","authors":["Li, Jialin","Elgarf, Maha","Waleed, Alia","Salam, Hanan"],"url":"https://arxiv.org/abs/2304.00377","arxiv_id":"2304.00377","published":"2026-01-15"},{"title":"LaCon: Late-Constraint Diffusion for Steerable Guided Image Synthesis","abstract":"Diffusion models have demonstrated impressive abilities in generating photo-realistic and creative images. To offer more controllability for the generation process, existing studies, termed as early-constraint methods in this paper, leverage extra conditions and incorporate them into pre-trained diffusion models. Particularly, some of them adopt condition-specific modules to handle conditions separately, where they s","authors":["Liu, Chang","Li, Rui","Zhang, Kaidong","Luo, Xin","Liu, Dong"],"url":"https://arxiv.org/abs/2305.11520","arxiv_id":"2305.11520","published":"2026-01-15"},{"title":"Positional Embedding-Aware Activations","abstract":"We present a neural network architecture designed to naturally learn a positional embedding and overcome the spectral bias towards lower frequencies faced by conventional activation functions. Our proposed architecture, SPDER, is a simple MLP that uses an activation function composed of a sinusoidal multiplied by a sublinear function, called the damping function. The sinusoidal enables the network to automatically le","authors":["Shah, Kathan","Sitawarin, Chawin"],"url":"https://arxiv.org/abs/2306.15242","arxiv_id":"2306.15242","published":"2026-01-15"},{"title":"Kernel Limit for a Class of Recurrent Neural Networks Trained on Ergodic Data Sequences","abstract":"Mathematical methods are developed to characterize the asymptotics of recurrent neural networks (RNN) as the number of hidden units, data samples in the sequence, hidden state updates, and training steps simultaneously grow to infinity. In the case of an RNN with a simplified weight matrix, we prove the convergence of the RNN to the solution of an infinite-dimensional ODE coupled with the fixed point of a random alge","authors":["Lam, Samuel Chun-Hei","Sirignano, Justin","Spiliopoulos, Konstantinos"],"url":"https://arxiv.org/abs/2308.14555","arxiv_id":"2308.14555","published":"2026-01-15"},{"title":"Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts","abstract":"Text-to-image diffusion models, e.g. Stable Diffusion (SD), lately have shown remarkable ability in high-quality content generation, and become one of the representatives for the recent wave of transformative AI. Nevertheless, such advance comes with an intensifying concern about the misuse of this generative technology, especially for producing copyrighted or NSFW (i.e. not safe for work) images. Although efforts ha","authors":["Chin, Zhi-Yi","Jiang, Chieh-Ming","Huang, Ching-Chun","Chen, Pin-Yu","Chiu, Wei-Chen"],"url":"https://arxiv.org/abs/2309.06135","arxiv_id":"2309.06135","published":"2026-01-15"},{"title":"Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification","abstract":"This work aims to adapt large-scale pre-trained vision-language models, such as contrastive language-image pretraining (CLIP), to enhance the performance of object reidentification (Re-ID) across various supervision settings. Although prompt learning has enabled a recent work named CLIP-ReID to achieve promising performance, the underlying mechanisms and the necessity of prompt learning remain unclear due to the abse","authors":["Li, Jiachen","Gong, Xiaojin"],"url":"https://arxiv.org/abs/2310.17218","arxiv_id":"2310.17218","published":"2026-01-15"},{"title":"Soft Contrastive Learning for Time Series","abstract":"Contrastive learning has shown to be effective to learn representations from time series in a self-supervised way. However, contrasting similar time series instances or values from adjacent timestamps within a time series leads to ignore their inherent correlations, which results in deteriorating the quality of learned representations. To address this issue, we propose SoftCLT, a simple yet effective soft contrastive","authors":["Lee, Seunghan","Park, Taeyoung","Lee, Kibok"],"url":"https://arxiv.org/abs/2312.16424","arxiv_id":"2312.16424","published":"2026-01-15"},{"title":"Lens: A Knowledge-Guided Foundation Model for Network Traffic","abstract":"Network traffic refers to the amount of data being sent and received over the Internet or any system that connects computers. Analyzing network traffic is vital for security and management, yet remains challenging due to the heterogeneity of plain-text packet headers and encrypted payloads. To capture the latent semantics of traffic, recent studies have adopted Transformer-based pretraining techniques to learn networ","authors":["Li, Xiaochang","Qian, Chen","Wang, Qineng","Kong, Jiangtao","Wang, Yuchen","Yao, Ziyu"],"url":"https://arxiv.org/abs/2402.03646","arxiv_id":"2402.03646","published":"2026-01-15"},{"title":"Template-Based Probes Are Imperfect Lenses for Counterfactual Bias Evaluation in LLMs","abstract":"Bias in large language models (LLMs) has many forms, from overt discrimination to implicit stereotypes. Counterfactual bias evaluation is a widely used approach to quantifying bias and often relies on template-based probes that explicitly state group membership. It aims to measure whether the outcome of a task performed by an LLM is invariant to a change in group membership. In this work, we find that template-based ","authors":["Kohankhaki, Farnaz","Emerson, D. B.","Tian, Jacob-Junqi","Seyyed-Kalantari, Laleh","Khattak, Faiza Khan"],"url":"https://arxiv.org/abs/2404.03471","arxiv_id":"2404.03471","published":"2026-01-15"},{"title":"Human-in-the-Loop Segmentation of Multi-species Coral Imagery","abstract":"Marine surveys by robotic underwater and surface vehicles result in substantial quantities of coral reef imagery, however labeling these images is expensive and time-consuming for domain experts. Point label propagation is a technique that uses existing images labeled with sparse points to create augmented ground truth data, which can be used to train a semantic segmentation model. In this work, we show that recent a","authors":["Raine, Scarlett","Marchant, Ross","Kusy, Brano","Maire, Frederic","Suenderhauf, Niko","Fischer, Tobias"],"url":"https://arxiv.org/abs/2404.09406","arxiv_id":"2404.09406","published":"2026-01-15"},{"title":"Swap distance minimization beyond entropy minimization in word order variation","abstract":"Consider a linguistic structure formed by $n$ elements, for instance, subject, direct object and verb ($n=3$) or subject, direct object, indirect object and verb ($n=4$). We investigate whether the frequency of the $n!$ possible orders is constrained by two principles. First, entropy minimization, a principle that has been suggested to shape natural communication systems at distinct levels of organization. Second, sw","authors":["Franco-Sánchez, Víctor","Martí-Llobet, Arnau","Ferrer-i-Cancho, Ramon"],"url":"https://arxiv.org/abs/2404.14192","arxiv_id":"2404.14192","published":"2026-01-15"},{"title":"Towards Efficient Patient Recruitment for Clinical Trials: Application of a Prompt-Based Learning Model","abstract":"Objective: Clinical trials are essential for advancing pharmaceutical interventions, but they face a bottleneck in selecting eligible participants. Although leveraging electronic health records (EHR) for recruitment has gained popularity, the complex nature of unstructured medical texts presents challenges in efficiently identifying participants. Natural Language Processing (NLP) techniques have emerged as a solution","authors":["Rahmanian, Mojdeh","Fakhrahmad, Seyed Mostafa","Mousavi, Seyedeh Zahra"],"url":"https://arxiv.org/abs/2404.16198","arxiv_id":"2404.16198","published":"2026-01-15"},{"title":"Global Benchmark Database","abstract":"This paper presents Global Benchmark Database (GBD), a comprehensive suite of tools for provisioning and sustainably maintaining benchmark instances and their metadata. The availability of benchmark metadata is essential for many tasks in empirical research, e.g., for the data-driven compilation of benchmarks, the domain-specific analysis of runtime experiments, or the instance-specific selection of solvers. In this ","authors":["Iser, Ashlin","Jabs, Christoph"],"url":"https://arxiv.org/abs/2405.10045","arxiv_id":"2405.10045","published":"2026-01-15"},{"title":"A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance","abstract":"In recent years considerable research in LiDAR semantic segmentation was conducted, introducing several new state of the art models. However, most research focuses on single-scan point clouds, limiting performance especially in long distance outdoor scenarios, by omitting time-sequential information. Moreover, varying-density and occlusions constitute significant challenges in single-scan approaches. In this paper we","authors":["Matteazzi, Andrea","Colling, Pascal","Arnold, Michael","Tutsch, Dietmar"],"url":"https://arxiv.org/abs/2405.10046","arxiv_id":"2405.10046","published":"2026-01-15"},{"title":"Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness","abstract":"Transfer-based attacks craft adversarial examples on white-box surrogate models and directly deploy them against black-box target models, offering model-agnostic and query-free threat scenarios. While flatness-enhanced methods have recently emerged to improve transferability by enhancing the loss surface flatness of adversarial examples, their divergent flatness definitions and heuristic attack designs suffer from un","authors":["Qiu, Chunlin","Li, Ang","Duan, Yiheng","Zhang, Shenyi","Zhang, Yuanjie","Zhao, Lingchen"],"url":"https://arxiv.org/abs/2405.16181","arxiv_id":"2405.16181","published":"2026-01-15"},{"title":"A Low Rank Neural Representation of Entropy Solutions","abstract":"We construct a new representation of entropy solutions to nonlinear scalar conservation laws with a smooth convex flux function in a single spatial dimension. The representation is a generalization of the method of characteristics and posseses a compositional form. While it is a nonlinear representation, the embedded dynamics of the solution in the time variable is linear. This representation is then discretized as a","authors":["Rim, Donsub","Welper, Gerrit"],"url":"https://arxiv.org/abs/2406.05694","arxiv_id":"2406.05694","published":"2026-01-15"},{"title":"Temporal Knowledge Graph Question Answering: A Survey","abstract":"Knowledge Base Question Answering (KBQA) has been a long-standing field to answer questions based on knowledge bases. Recently, the evolving dynamics of knowledge have attracted a growing interest in Temporal Knowledge Graph Question Answering (TKGQA), an emerging task to answer temporal questions. However, this field grapples with ambiguities in defining temporal questions and lacks a systematic categorization of ex","authors":["Su, Miao","Li, Zixuan","Chen, Zhuo","Bai, Long","Jin, Xiaolong","Guo, Jiafeng"],"url":"https://arxiv.org/abs/2406.14191","arxiv_id":"2406.14191","published":"2026-01-15"},{"title":"Exploiting Scale-Variant Attention for Segmenting Small Medical Objects","abstract":"Early detection and accurate diagnosis can predict the risk of malignant disease transformation, thereby increasing the probability of effective treatment. Identifying mild syndrome with small pathological regions serves as an ominous warning and is fundamental in the early diagnosis of diseases. While deep learning algorithms, particularly convolutional neural networks (CNNs), have shown promise in segmenting medica","authors":["Dai, Wei","Liu, Rui","Wu, Zixuan","Wu, Tianyi","Wang, Min","Zhou, Junxian"],"url":"https://arxiv.org/abs/2407.07720","arxiv_id":"2407.07720","published":"2026-01-15"},{"title":"Can Editing LLMs Inject Harm?","abstract":"Large Language Models (LLMs) have emerged as a new information channel. Meanwhile, one critical but under-explored question is: Is it possible to bypass the safety alignment and inject harmful information into LLMs stealthily? In this paper, we propose to reformulate knowledge editing as a new type of safety threat for LLMs, namely Editing Attack, and conduct a systematic investigation with a newly constructed datase","authors":["Chen, Canyu","Huang, Baixiang","Li, Zekun","Chen, Zhaorun","Lai, Shiyang","Xu, Xiongxiao"],"url":"https://arxiv.org/abs/2407.20224","arxiv_id":"2407.20224","published":"2026-01-15"},{"title":"Stock Price Responses to Firm-Level News in Supply Chain Networks","abstract":"This study examines how positive and negative news about firms is associated with stock prices and whether these associations extend to firms' suppliers and clients connected through supply chain relationships, using large samples of publicly listed firms worldwide and in Japan. News sentiment is measured using FinBERT, a natural language processing model fine-tuned for financial texts, and supply chain links are","authors":["Inoue, Hiroyasu","Todo, Yasuyuki"],"url":"https://arxiv.org/abs/2409.06255","arxiv_id":"2409.06255","published":"2026-01-15"},{"title":"Differentially Private Bilevel Optimization","abstract":"We present differentially private (DP) algorithms for bilevel optimization, a problem class that received significant attention lately in various machine learning applications. These are the first algorithms for such problems under standard DP constraints, and are also the first to avoid Hessian computations which are prohibitive in large-scale settings. Under the well-studied setting in which the upper-level is not ","authors":["Kornowski, Guy"],"url":"https://arxiv.org/abs/2409.19800","arxiv_id":"2409.19800","published":"2026-01-15"},{"title":""Hiding in Plain Sight": Designing Synthetic Dialog Generation for Uncovering Socially Situated Norms","abstract":"Naturally situated conversations encapsulate the social norms inherent to their context, reflecting both the relationships between interlocutors and the underlying communicative intent. In this paper, we propose a novel, multi-step framework for generating dialogues that automatically uncovers social norms from rich, context-laden interactions through a process of self-assessment and norm discovery, rather than relyi","authors":["Wu, Chengfei","Goldwasser, Dan"],"url":"https://arxiv.org/abs/2410.00998","arxiv_id":"2410.00998","published":"2026-01-15"},{"title":"FastLRNR and Sparse Physics Informed Backpropagation","abstract":"We introduce Sparse Physics Informed Backpropagation (SPInProp), a new class of methods for accelerating backpropagation for a specialized neural network architecture called Low Rank Neural Representation (LRNR). The approach exploits the low rank structure within LRNR and constructs a reduced neural network approximation that is much smaller in size. We call the smaller network FastLRNR. We show that backpropagation","authors":["Cho, Woojin","Lee, Kookjin","Park, Noseong","Rim, Donsub","Welper, Gerrit"],"url":"https://arxiv.org/abs/2410.04001","arxiv_id":"2410.04001","published":"2026-01-15"}],"history":{"events":[{"year":2009,"text":"US Airways Flight 1549 struck a flock of Canada geese during its climb out from New York City and made an emergency landing in the Hudson River (featured).","url":"https://en.wikipedia.org/wiki/US_Airways_Flight_1549"},{"year":2001,"text":"The first edit to the internet encyclopedia Wikipedia was made.","url":"https://en.wikipedia.org/wiki/First_Wikipedia_edit"},{"year":1991,"text":"The Victoria Cross for Australia was instituted, making Australia the first Commonwealth realm with a separate Victoria Cross award in its honours system.","url":"https://en.wikipedia.org/wiki/Victoria_Cross_for_Australia"},{"year":1981,"text":"The American serial police-procedural television show Hill Street Blues aired its pilot episode, \"Hill Street Station\".","url":"https://en.wikipedia.org/wiki/Police_procedural"},{"year":1975,"text":"Portugal and the nationalist factions UNITA, the MPLA and the FNLA signed the Alvor Agreement, ending the Angolan War of Independence.","url":"https://en.wikipedia.org/wiki/UNITA"},{"year":1974,"text":"American serial killer Dennis Rader, also known as the \"BTK killer\", murdered his first four victims.","url":"https://en.wikipedia.org/wiki/Dennis_Rader"},{"year":1970,"text":"The Republic of Biafra surrendered following a failed attempt at secession from Nigeria, ending the Nigerian Civil War.","url":"https://en.wikipedia.org/wiki/Biafra"},{"year":1967,"text":"The Green Bay Packers defeated the Kansas City Chiefs in the American football championship game now known as Super Bowl I.","url":"https://en.wikipedia.org/wiki/Green_Bay_Packers"},{"year":1962,"text":"The Derveni papyrus (fragment pictured), the oldest surviving manuscript in Europe, was discovered in Macedonia in northern Greece.","url":"https://en.wikipedia.org/wiki/Derveni_papyrus"},{"year":1951,"text":"Ilse Koch, wife of Karl-Otto Koch, the Nazi commander of the Buchenwald and Majdanek concentration camps, was sentenced to life imprisonment by a West German court.","url":"https://en.wikipedia.org/wiki/Ilse_Koch"},{"year":1947,"text":"The mutilated corpse of the Black Dahlia, a 22-year-old woman whose murder is one of the most famous unsolved crimes in the United States, was found in Leimert Park, Los Angeles.","url":"https://en.wikipedia.org/wiki/Black_Dahlia"},{"year":1943,"text":"The highest-capacity office building in the world, the headquarters of the United States Department of Defense known as the Pentagon, was dedicated.","url":"https://en.wikipedia.org/wiki/United_States_Department_of_Defense"},{"year":1937,"text":"Spanish Civil War: Nationalist and Republican forces both withdrew after suffering heavy losses at the Second Battle of the Corunna Road.","url":"https://en.wikipedia.org/wiki/Spanish_Civil_War"},{"year":1934,"text":"At least 10,700 people died when a magnitude-8.0 earthquake struck Nepal and the Indian state of Bihar.","url":"https://en.wikipedia.org/wiki/1934_Nepal%E2%80%93India_earthquake"},{"year":1933,"text":"A teenage girl in Banneux, Belgium, reported the first of several Marian apparitions, now known as Our Lady of Banneux.","url":"https://en.wikipedia.org/wiki/Banneux"},{"year":1919,"text":"A large molasses tank in Boston, Massachusetts, burst and a wave of molasses rushed through the streets , killing 21 people and injuring 150 others.","url":"https://en.wikipedia.org/wiki/Molasses"},{"year":1910,"text":"Construction was completed on the Buffalo Bill Dam, then the tallest dam in the world, on the Shoshone River in the U.S. state of Wyoming.","url":"https://en.wikipedia.org/wiki/Buffalo_Bill_Dam"},{"year":1885,"text":"Wilson Bentley (pictured) took the first known photograph of a snowflake by attaching a bellows camera to a microscope.","url":"https://en.wikipedia.org/wiki/Wilson_Bentley"}],"births":[{"year":2004,"text":"Grace VanderWaal, American singer-songwriter","url":"https://en.wikipedia.org/wiki/Grace_VanderWaal"},{"year":2002,"text":"Tim Stützle, German ice hockey player","url":"https://en.wikipedia.org/wiki/Tim_St%C3%BCtzle"},{"year":2000,"text":"Triston Casas, American baseball player","url":"https://en.wikipedia.org/wiki/Triston_Casas"},{"year":1998,"text":"Alexandra Eade, Australian artistic gymnast","url":"https://en.wikipedia.org/wiki/Alexandra_Eade"},{"year":1998,"text":"Ben Godfrey, English footballer","url":"https://en.wikipedia.org/wiki/Ben_Godfrey"},{"year":1998,"text":"Chloe Kelly, English footballer","url":"https://en.wikipedia.org/wiki/Chloe_Kelly"},{"year":1996,"text":"Dove Cameron, American actress and singer","url":"https://en.wikipedia.org/wiki/Dove_Cameron"},{"year":1996,"text":"Deebo Samuel, American football player","url":"https://en.wikipedia.org/wiki/Deebo_Samuel"}],"deaths":[{"year":2025,"text":"Paul Danan, English actor and television personality (born 1978)","url":"https://en.wikipedia.org/wiki/Paul_Danan"},{"year":2025,"text":"David Lynch, American television and film director, visual artist and musician, complications from emphysema (born 1946)","url":"https://en.wikipedia.org/wiki/David_Lynch"},{"year":2025,"text":"Melba Montgomery, American country music singer-songwriter (born 1938)","url":"https://en.wikipedia.org/wiki/Melba_Montgomery"},{"year":2025,"text":"Linda Nolan, Irish singer and actress (born 1959)","url":"https://en.wikipedia.org/wiki/Linda_Nolan"},{"year":2022,"text":"Alexa McDonough, first female politician to lead a major provincial political party in Canada, former leader of the federal New Democratic Party. (born 1944)","url":"https://en.wikipedia.org/wiki/Alexa_McDonough"},{"year":2020,"text":"Rocky Johnson, Canadian professional wrestler (born 1944)","url":"https://en.wikipedia.org/wiki/Rocky_Johnson"},{"year":2020,"text":"Lloyd Cowan, British athlete and coach (born 1962)","url":"https://en.wikipedia.org/wiki/Lloyd_Cowan"},{"year":2019,"text":"Carol Channing, American actress (born 1921)","url":"https://en.wikipedia.org/wiki/Carol_Channing"}]},"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."}