{"date":"2026-03-18","schema_version":1,"captured_at":"2026-08-25T23:32:24.672Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Joe Kent","views":549464,"rank":3,"extract":"Joseph Clay Kent is an American politician, former United States Army warrant officer, and former Central Intelligence Agency paramilitary officer who served as the director of the National Counterterrorism Center from 2025 to 2026. 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The analogy and comparison between biology and linguistics\\cite{alphafold2, RoseTTAFold, lang_virus, cell language, faculty1, language of gene, Protein linguistics, dictionary, Grammar of pro_dom, complexity, genomics_nlp, InterPro, language modeling, Protein language modeling} provide a computational foundation for characterizing a","authors":["Wang, Li-Min","Lai, Hsing-Yi","Tsai, Sun-Ting","Ng, Chen Siang","Ma, Kevin Sheng-Kai","Wu, Shan-Jyun"],"url":"https://arxiv.org/abs/2012.14309","arxiv_id":"2012.14309","published":"2026-03-18"},{"title":"Contraction Theory for Nonlinear Stability Analysis and Learning-based Control: A Tutorial Overview","abstract":"Contraction theory is an analytical tool to study differential dynamics of a non-autonomous (i.e., time-varying) nonlinear system under a contraction metric defined with a uniformly positive definite matrix, the existence of which results in a necessary and sufficient characterization of incremental exponential stability of multiple solution trajectories with respect to each other. By using a squared differential len","authors":["Tsukamoto, Hiroyasu","Chung, Soon-Jo","Slotine, Jean-Jacques E."],"url":"https://arxiv.org/abs/2110.00675","arxiv_id":"2110.00675","published":"2026-03-18"},{"title":"An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants","abstract":"In this work, we present a new deterministic partition-based global optimization algorithm, HALO (Hybrid Adaptive Lipschitzian Optimization), which uses estimates of the local Lipschitz constants associated with different sub-regions of the objective function's domain to compute lower bounds and guide the search toward global minimizers. These estimates are obtained by adaptively balancing the global and local in","authors":["D'Agostino, Danny"],"url":"https://arxiv.org/abs/2211.04129","arxiv_id":"2211.04129","published":"2026-03-18"},{"title":"Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks","abstract":"Heterogeneous molecular entities and their interactions, commonly depicted as a network, are crucial for advancing our systems-level understanding of biology. With recent advancements in high-throughput data generation and a significant improvement in computational power, graph neural networks (GNNs) have demonstrated their effectiveness in predicting biomedical interactions. Since GNNs follow a neighborhood aggregat","authors":["KC, Kishan","Li, Rui","Regmi, Paribesh","Haake, Anne R."],"url":"https://arxiv.org/abs/2211.13231","arxiv_id":"2211.13231","published":"2026-03-18"},{"title":"Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing","abstract":"Algorithmic auditing has become central to platform accountability under frameworks such as the AI Act and the Digital Services Act. In practice, this obligation is discharged through dedicated Audit APIs. This architecture creates a paradox: the entity under scrutiny controls the evaluation interface. A platform facing legal sanctions can serve a compliant surrogate model on its Audit API, while running a discrimina","authors":["Bourrée, Jade Garcia","Merrer, Erwan Le","Tredan, Gilles","Rottembourg, Benoît"],"url":"https://arxiv.org/abs/2305.13883","arxiv_id":"2305.13883","published":"2026-03-18"},{"title":"From structure mining to unsupervised exploration of atomic octahedral networks","abstract":"Understanding the spatial arrangements of atom-centered coordination octahedra is crucial for relating structures to properties for many materials families. Traditional case-by-case inspection becomes a prohibitive task for discovering trends and similarities in large datasets. Here, we operationalize chemical intuition to automate the geometric parsing, quantification, and classification of coordination octahedral n","authors":["Xian, R. Patrick","Morelock, Ryan J.","Hadar, Ido","Musgrave, Charles B.","Sutton, Christopher"],"url":"https://arxiv.org/abs/2306.12272","arxiv_id":"2306.12272","published":"2026-03-18"},{"title":"Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis","abstract":"Images degraded by geometric distortions pose a significant challenge to imaging and computer vision tasks such as object recognition. Deep learning-based imaging models usually fail to give accurate performance for geometrically distorted images. In this paper, we propose the deformation-invariant neural network (DINN), a framework to address the problem of imaging tasks for geometrically distorted images. The DINN ","authors":["Zhang, Han","Chen, Qiguang","Lui, Lok Ming"],"url":"https://arxiv.org/abs/2310.02641","arxiv_id":"2310.02641","published":"2026-03-18"},{"title":"High-Quality Facial Geometry and Appearance Capture at Home","abstract":"Facial geometry and appearance capture have demonstrated tremendous success in 3D scanning real humans in studios. Recent works propose to democratize this technique while keeping the results high quality. However, they are still inconvenient for daily usage. In addition, they focus on an easier problem of only capturing facial skin. This paper proposes a novel method for high-quality face capture, featuring an easy-","authors":["Han, Yuxuan","Lyu, Junfeng","Xu, Feng"],"url":"https://arxiv.org/abs/2312.03442","arxiv_id":"2312.03442","published":"2026-03-18"},{"title":"Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants","abstract":"Synthetic Minority Oversampling Technique (SMOTE) is a common rebalancing strategy for handling imbalanced tabular data sets. However, few works analyze SMOTE theoretically. In this paper, we derive several non-asymptotic upper bound on SMOTE density. From these results, we prove that SMOTE (with default parameter) tends to copy the original minority samples asymptotically. We confirm and illustrate empirically this ","authors":["Sakho, Abdoulaye","Malherbe, Emmanuel","Scornet, Erwan"],"url":"https://arxiv.org/abs/2402.03819","arxiv_id":"2402.03819","published":"2026-03-18"},{"title":"Label-supervised surgical instrument segmentation using temporal equivariance and semantic continuity","abstract":"For robotic surgical videos, instrument presence annotations are typically recorded with video streams, which offering the potential to reduce the manually annotated costs for segmentation. However, weakly supervised surgical instrument segmentation with only instrument presence labels has been rarely explored in surgical domain due to the highly under-constrained challenges. Temporal properties can enhance represent","authors":["Wang, Qiyuan","Liu, Yanzhe","Zhao, Shang","Liu, Rong","Zhou, S. Kevin"],"url":"https://arxiv.org/abs/2403.09551","arxiv_id":"2403.09551","published":"2026-03-18"},{"title":"Gaze-guided Hand-Object Interaction Synthesis: Dataset and Method","abstract":"Gaze plays a crucial role in revealing human attention and intention, particularly in hand-object interaction scenarios, where it guides and synchronizes complex tasks that require precise coordination between the brain, hand, and object. Motivated by this, we introduce a novel task: Gaze-Guided Hand-Object Interaction Synthesis, with potential applications in augmented reality, virtual reality, and assistive technol","authors":["Tian, Jie","Ji, Ran","Yang, Lingxiao","Ni, Suting","Ma, Yuexin","Xu, Lan"],"url":"https://arxiv.org/abs/2403.16169","arxiv_id":"2403.16169","published":"2026-03-18"},{"title":"Agnostic Tomography of Stabilizer Product States","abstract":"We define a quantum learning task called agnostic tomography, where given copies of an arbitrary state $ρ$ and a class of quantum states $\\mathcal{C}$, the goal is to output a succinct description of a state that approximates $ρ$ at least as well as any state in $\\mathcal{C}$ (up to some small error $\\varepsilon$). This task generalizes ordinary quantum tomography of states in $\\mathcal{C}$ and is more challenging be","authors":["Grewal, Sabee","Iyer, Vishnu","Kretschmer, William","Liang, Daniel"],"url":"https://arxiv.org/abs/2404.03813","arxiv_id":"2404.03813","published":"2026-03-18"},{"title":"Revisiting RGBT Tracking Benchmarks from the Perspective of Modality Validity: A New Benchmark, Problem, and Solution","abstract":"RGBT tracking draws increasing attention because its robustness in multi-modal warranting (MMW) scenarios, such as nighttime and adverse weather conditions, where relying on a single sensing modality fails to ensure stable tracking results. However, existing benchmarks predominantly contain videos collected in common scenarios where both RGB and thermal infrared (TIR) information are of sufficient quality. This weake","authors":["Tang, Zhangyong","Xu, Tianyang","Feng, Zhenhua","Zhu, Xuefeng","Cheng, Chunyang","Wu, Xiao-Jun"],"url":"https://arxiv.org/abs/2405.00168","arxiv_id":"2405.00168","published":"2026-03-18"},{"title":"drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network","abstract":"For translational impact, both accurate drug response prediction and biological plausibility of predictive features are needed. We present drGT, a heterogeneous graph deep learning model over drugs, genes, and cell lines that couples prediction with mechanism-oriented interpretability via attention coefficients (ACs). We assess both predictive generalization (random, unseen-drug, unseen-cell, and zero-shot splits) an","authors":["Inoue, Yoshitaka","Lee, Hunmin","Fu, Tianfan","Kuang, Rui","Luna, Augustin"],"url":"https://arxiv.org/abs/2405.08979","arxiv_id":"2405.08979","published":"2026-03-18"},{"title":"Revisiting ASR Error Correction with Specialized Models","abstract":"Language models play a central role in automatic speech recognition (ASR), yet most methods rely on text-only models unaware of ASR error patterns. Recently, large language models (LLMs) have been applied to ASR correction, but introduce latency and hallucination concerns. We revisit ASR error correction with compact seq2seq models, trained on ASR errors from real and synthetic audio. To scale training, we construct ","authors":["Gu, Zijin","Likhomanenko, Tatiana","Bai, He","McDermott, Erik","Collobert, Ronan","Jaitly, Navdeep"],"url":"https://arxiv.org/abs/2405.15216","arxiv_id":"2405.15216","published":"2026-03-18"},{"title":"Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition","abstract":"We prove bounds on the variance of a function $f$ under the empirical measure of the samples obtained by the Sequential Monte Carlo (SMC) algorithm, with time complexity depending on local rather than global Markov chain mixing dynamics. SMC is a Markov Chain Monte Carlo (MCMC) method, which starts by drawing $N$ particles from a known distribution, and then, through a sequence of distributions, re-weights and re-sam","authors":["Lee, Holden","Santana-Gijzen, Matheau"],"url":"https://arxiv.org/abs/2405.19553","arxiv_id":"2405.19553","published":"2026-03-18"},{"title":"LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing","abstract":"Greybox fuzzing has achieved success in revealing bugs and vulnerabilities in programs. However, randomized mutation strategies have limited the fuzzer's performance on structured data. Specialized fuzzers can handle complex structured data, but require additional efforts in grammar and suffer from low throughput. In this paper, we explore the potential of utilizing the Large Language Model to enhance greybox fuz","authors":["Zhang, Hongxiang","Rong, Yuyang","He, Yifeng","Chen, Hao"],"url":"https://arxiv.org/abs/2406.07714","arxiv_id":"2406.07714","published":"2026-03-18"},{"title":"Making Multi-Axis Gaussian Graphical Models Scalable to Millions of Cells","abstract":"Motivation: Networks underlie the generation and interpretation of many biological datasets: gene networks shed light on the regulatory structure of the genome, and cell networks can capture structure of the tumor micro-environment. However, most methods that learn such networks make the faulty 'independence assumption'; to learn the gene network, they assume that no cell network exists. 'Multi-axis' ","authors":["Andrew, Bailey","Harris, Erica L.","Poulter, James A.","Westhead, David R.","Cutillo, Luisa"],"url":"https://arxiv.org/abs/2407.19892","arxiv_id":"2407.19892","published":"2026-03-18"},{"title":"SG-DeepONet: Source-generalized deep operator learning for full waveform inversion","abstract":"Full waveform inversion (FWI) aims to reconstruct subsurface velocity models from observed seismic wavefields and has recently benefited from advances in deep learning (DL). The performance of DL-based FWI critically depends on the diversity of training data, yet existing datasets such as OpenFWI rely on fixed or weakly varying source conditions, limiting their ability to represent realistic seismic scenarios and hin","authors":["Guo, Zekai","Chai, Lihui","Li, Ye"],"url":"https://arxiv.org/abs/2408.08005","arxiv_id":"2408.08005","published":"2026-03-18"},{"title":"Form and meaning co-determine the realization of tone in Taiwan Mandarin spontaneous speech: the case of T2-T3 and T3-T3 tone sandhi","abstract":"In Standard Chinese, Tone 3 (the dipping tone) becomes Tone 2 (rising tone) when followed by another Tone 3. Previous studies have noted that this sandhi process may be incomplete, in the sense that the assimilated Tone 3 is still distinct from a true Tone 2. While Mandarin Tone 3 sandhi is widely studied using carefully controlled laboratory speech (Xu, 1997) and more formal registers of Beijing Mandarin (Yuan &","authors":["Lu, Yuxin","Chuang, Yu-Ying","Baayen, R. Harald"],"url":"https://arxiv.org/abs/2408.15747","arxiv_id":"2408.15747","published":"2026-03-18"},{"title":"From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals","abstract":"Epilepsy represents the most prevalent neurological disease in the world. One-third of people suffering from mesial temporal lobe epilepsy (MTLE) exhibit drug resistance, urging the need to develop new treatments. A key part in anti-seizure medication (ASM) development is the capability of detecting and quantifying epileptic seizures occurring in electroencephalogram (EEG) signals, which is crucial for treatment effi","authors":["Darankoum, Davy","Villalba, Manon","Allioux, Clelia","Caraballo, Baptiste","Dumont, Carine","Gronlier, Eloise"],"url":"https://arxiv.org/abs/2410.03385","arxiv_id":"2410.03385","published":"2026-03-18"},{"title":"Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network","abstract":"Quality-of-Service (QoS) prediction is a critical task in the service lifecycle, enabling precise and adaptive service recommendations by anticipating performance variations over time in response to evolving network uncertainties and user preferences. However, contemporary QoS prediction methods frequently encounter data sparsity and cold-start issues, which hinder accurate QoS predictions and limit the ability to ca","authors":["Kumar, Suraj","Chattopadhyay, Soumi","Adak, Chandranath"],"url":"https://arxiv.org/abs/2410.17762","arxiv_id":"2410.17762","published":"2026-03-18"},{"title":"EoRA: Fine-tuning-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation","abstract":"While post-training compression techniques effectively reduce the memory footprint, latency, and power consumption of Large Language Models (LLMs), they often result in noticeable accuracy degradation and remain limited by hardware and kernel constraints that restrict supported compression formats - ultimately reducing flexibility across a wide range of deployment scenarios. In this work, we propose EoRA - a novel $\\","authors":["Liu, Shih-Yang","Khadkevich, Maksim","Fung, Nai Chit","Sakr, Charbel","Yang, Chao-Han Huck","Wang, Chien-Yi"],"url":"https://arxiv.org/abs/2410.21271","arxiv_id":"2410.21271","published":"2026-03-18"},{"title":"A-UTE: Advection Informed, Uncertainty Aware Temperature Emulator","abstract":"Physics-based Earth system models (ESMs) are essential for attributing climate change and generating scenario projections, yet their reliance on high-resolution numerical integration makes multi-decadal experiments expensive. In parallel, deep learning has delivered strong gains in short-range weather forecasting; however, auto-regressive roll-outs can accumulate error and become unstable when extended to decade-scal","authors":["Saleem, Hira","Salim, Flora","Purcell, Cormac"],"url":"https://arxiv.org/abs/2410.21657","arxiv_id":"2410.21657","published":"2026-03-18"},{"title":"FreeGaussian: Annotation-free Control of Articulated Objects via 3D Gaussian Splats with Flow Derivatives","abstract":"Reconstructing controllable Gaussian splats for articulated objects from monocular video is especially challenging due to its inherently insufficient constraints. Existing methods address this by relying on dense masks and manually defined control signals, limiting their real-world applications. In this paper, we propose an annotation-free method, FreeGaussian, which mathematically disentangles camera egomotion and a","authors":["Chen, Qizhi","Qu, Delin","Liu, Junli","Tang, Yiwen","Song, Haoming","Wang, Dong"],"url":"https://arxiv.org/abs/2410.22070","arxiv_id":"2410.22070","published":"2026-03-18"}],"history":{"events":[{"year":2019,"text":"Syrian civil war: The U.S. Air Force carried out an airstrike in al-Baghuz Fawqani, killing as many as 80, a disputed number of whom were civilians.","url":"https://en.wikipedia.org/wiki/Syrian_civil_war"},{"year":2015,"text":"Gunmen attacked the Bardo National Museum in Tunisia, killing 24 people.","url":"https://en.wikipedia.org/wiki/Bardo_National_Museum_attack"},{"year":2005,"text":"As per a court order, the feeding tube of Terri Schiavo, an American woman who suffered brain damage, was removed at the request of her husband, fueling a worldwide debate on euthanasia.","url":"https://en.wikipedia.org/wiki/Court_order"},{"year":1996,"text":"The deadliest fire in Philippine history broke out at a nightclub in Quezon City, causing 162 deaths.","url":"https://en.wikipedia.org/wiki/Ozone_Disco_fire"},{"year":1990,"text":"Unidentified thieves stole thirteen works of art collectively valued at $500 million from the Isabella Stewart Gardner Museum (pictured) in Boston, Massachusetts.","url":"https://en.wikipedia.org/wiki/Isabella_Stewart_Gardner_Museum_theft"},{"year":1985,"text":"The first episode of the soap opera Neighbours was broadcast on the Seven Network, later becoming the longest-running drama in Australian television history.","url":"https://en.wikipedia.org/wiki/Soap_opera"},{"year":1977,"text":"The punk group the Clash released their first single, \"White Riot\", described as their \"most controversial song\" due to its lyrics about class economics and race.","url":"https://en.wikipedia.org/wiki/The_Clash"},{"year":1970,"text":"U.S. postal workers began an eight-day strike after Congress raised their wages by only 4 percent despite increasing its own pay by 41 percent.","url":"https://en.wikipedia.org/wiki/1970_United_States_postal_strike"},{"year":1969,"text":"Vietnam War: The United States began secretly bombing the Sihanouk Trail in Cambodia, used by communist forces to infiltrate South Vietnam.","url":"https://en.wikipedia.org/wiki/Vietnam_War"},{"year":1965,"text":"Cosmonaut Alexei Leonov ventured outside the Soviet spacecraft Voskhod 2, becoming the first person to walk in space.","url":"https://en.wikipedia.org/wiki/Alexei_Leonov"},{"year":1959,"text":"Tibetan uprising: After the 14th Dalai Lama sought refuge at Sera Monastery in Lhasa, Tibet, Chinese forces bombarded the monastery, inflicting severe destruction and killing hundreds of Buddhist monks.","url":"https://en.wikipedia.org/wiki/1959_Tibetan_uprising"},{"year":1925,"text":"The deadliest tornado in U.S. history spawned in Missouri and traveled more than 219 miles (352 km) across Illinois and Indiana, leaving one of the longest continuous tornado tracks ever recorded.","url":"https://en.wikipedia.org/wiki/1925_Tri-State_tornado"},{"year":1921,"text":"Russian Civil War: Bolshevik forces suppressed a rebellion of sailors and civilians in Kronstadt.","url":"https://en.wikipedia.org/wiki/Russian_Civil_War"},{"year":1915,"text":"First World War: In one of the largest naval battles of the Gallipoli campaign, Ottoman forces sank three Allied battleships and severely damaged three others.","url":"https://en.wikipedia.org/wiki/World_War_I"},{"year":1906,"text":"Romanian inventor Traian Vuia became the first person to fly a heavier-than-air monoplane (pictured) with an unassisted takeoff.","url":"https://en.wikipedia.org/wiki/Traian_Vuia"},{"year":1901,"text":"The construction of the House with Chimaeras (pictured) commenced in Kyiv.","url":"https://en.wikipedia.org/wiki/House_with_Chimaeras"},{"year":1892,"text":"Canadian governor general Lord Stanley of Preston pledged to donate an award to Canada's top-ranked amateur ice hockey club, now known as the Stanley Cup, the oldest professional sports trophy in North America.","url":"https://en.wikipedia.org/wiki/Frederick_Stanley%2C_16th_Earl_of_Derby"},{"year":1838,"text":"The British soldier-explorer John Wood came close to rediscovering the ancient Greco-Bactrian city of Ai-Khanoum in modern Afghanistan.","url":"https://en.wikipedia.org/wiki/John_Wood_(explorer)"}],"births":[{"year":2002,"text":"Brenden Rice, American football player","url":"https://en.wikipedia.org/wiki/Brenden_Rice"},{"year":1999,"text":"Diogo Dalot, Portuguese footballer","url":"https://en.wikipedia.org/wiki/Diogo_Dalot"},{"year":1998,"text":"Emmanuel Clase, Dominican baseball player","url":"https://en.wikipedia.org/wiki/Emmanuel_Clase"},{"year":1997,"text":"Ciara Bravo, American actress","url":"https://en.wikipedia.org/wiki/Ciara_Bravo"},{"year":1997,"text":"Rieko Ioane, New Zealand rugby union player","url":"https://en.wikipedia.org/wiki/Rieko_Ioane"},{"year":1997,"text":"Jordan Whitehead, American football player","url":"https://en.wikipedia.org/wiki/Jordan_Whitehead"},{"year":1997,"text":"Ivica Zubac, Croatian basketball player","url":"https://en.wikipedia.org/wiki/Ivica_Zubac"},{"year":1996,"text":"Skal Labissière, Haitian basketball player","url":"https://en.wikipedia.org/wiki/Skal_Labissi%C3%A8re"}],"deaths":[{"year":2025,"text":"Kanzi, Bonobo research subject (born 1980)","url":"https://en.wikipedia.org/wiki/Kanzi"},{"year":2025,"text":"Jessie Hoffman Jr., American convicted murderer (born 1978)","url":"https://en.wikipedia.org/wiki/Jessie_Hoffman_Jr."},{"year":2024,"text":"Thomas P. Stafford, American Air Force officer, test pilot, and NASA astronaut (born 1930)","url":"https://en.wikipedia.org/wiki/Thomas_P._Stafford"},{"year":2020,"text":"Alfred Worden, American test pilot, engineer and astronaut (born 1932)","url":"https://en.wikipedia.org/wiki/Alfred_Worden"},{"year":2017,"text":"Chuck Berry, American guitarist, singer and songwriter (born 1926)","url":"https://en.wikipedia.org/wiki/Chuck_Berry"},{"year":2016,"text":"Barry Hines, English author and screenwriter (born 1939)","url":"https://en.wikipedia.org/wiki/Barry_Hines"},{"year":2016,"text":"Jan Němec, Czech director and screenwriter (born 1936)","url":"https://en.wikipedia.org/wiki/Jan_N%C4%9Bmec"},{"year":2016,"text":"Tray Walker, American football player (born 1992)","url":"https://en.wikipedia.org/wiki/Tray_Walker"}]},"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."}