{"date":"2026-08-03","schema_version":1,"captured_at":"2026-08-25T23:18:23.486Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Spider-Man: Brand New Day","views":909906,"rank":2,"extract":"Spider-Man: Brand New Day is a 2026 American superhero film based on the Marvel Comics character Spider-Man. 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(August 2026)","points":237,"comments":387,"url":"https://news.ycombinator.com/item?id=49156683","discussion":"https://news.ycombinator.com/item?id=49156683"},{"title":"AirLLM 70B inference with single 4GB GPU","points":232,"comments":84,"url":"https://github.com/lyogavin/airllm","discussion":"https://news.ycombinator.com/item?id=49154228"},{"title":"OpenAI's super PAC is funding AI-generated news site attacking industry critics","points":214,"comments":106,"url":"https://www.modelrepublic.org/articles/the-reporters-at-this-news-site-are-ai-bots.-openai%E2%80%99s-super-pac-appears-to-be-using-it-to-advance-its-political-agenda","discussion":"https://news.ycombinator.com/item?id=49150561"}],"research":[{"title":"Tensor Data Scattering and the Impossibility of Slicing Theorem","abstract":"This paper proposes a standard way to represent sparse tensors. A broad theoretical framework for tensor data scattering methods used in various deep learning frameworks is established. This paper presents a theorem that is very important for performance analysis and accelerator optimization for implementing data scattering. The theorem shows how the impossibility of slicing happens in tensor data scattering. A spars","authors":["Pan, Wuming"],"url":"https://arxiv.org/abs/2012.01982","arxiv_id":"2012.01982","published":"2026-08-03"},{"title":"Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error","abstract":"Inter-beat interval (IBI) measurement enables estimation of heart-rate variability (HRV) which, in turns, can provide early indication of potential cardiovascular diseases. However, extracting IBIs from noisy signals is challenging since the morphology of the signal is distorted in the presence of the noise. Electrocardiogram (ECG) of a person in heavy motion is highly corrupted with noise, known as motion-artifact, ","authors":["Arefeen, Asiful","Akbari, Ali","Mirzadeh, Seyed Iman","Jafari, Roozbeh","Shirazi, Behrooz A.","Ghasemzadeh, Hassan"],"url":"https://arxiv.org/abs/2107.00693","arxiv_id":"2107.00693","published":"2026-08-03"},{"title":"Neural network relief: a pruning algorithm based on neural activity","abstract":"Current deep neural networks (DNNs) are overparameterized and use most of their neuronal connections during inference for each task. The human brain, however, developed specialized regions for different tasks and performs inference with a small fraction of its neuronal connections. We propose an iterative pruning strategy introducing a simple importance-score metric that deactivates unimportant connections, tackling ","authors":["Dekhovich, Aleksandr","Tax, David M. J.","Sluiter, Marcel H. F.","Bessa, Miguel A."],"url":"https://arxiv.org/abs/2109.10795","arxiv_id":"2109.10795","published":"2026-08-03"},{"title":"SATViz: Real-Time Visualization of Clausal Proofs","abstract":"Visual layouts of graphs representing SAT instances can highlight the community structure of SAT instances. The community structure of SAT instances has been associated with both instance hardness and known clause quality heuristics. Our tool SATViz visualizes CNF formulas using the variable interaction graph and a force-directed layout algorithm. With SATViz, clause proofs can be animated to continuously highlight v","authors":["Holzenkamp, Tim","Kuryshev, Kevin","Oltmann, Thomas","Wäldele, Lucas","Zuber, Johann","Heuer, Tobias"],"url":"https://arxiv.org/abs/2209.05838","arxiv_id":"2209.05838","published":"2026-08-03"},{"title":"POSSE-kNN: Pathwise Out-of-Bag Selected Subspace Ensembles for Binary Classification","abstract":"Nearest neighbour classification is attractive for tabular data, but its performance can deteriorate when a fixed query centred neighbourhood does not follow the local class geometry. This study evaluates POSSE-$k$NN, a pathwise $k$ nearest neighbour ensemble that combines bootstrap sampling, random feature subspaces, out-of-bag (OOB) screening, and selective voting. Within each randomized candidate, pathwise selecti","authors":["Khan, Zardad","Ali, Amjad","Adeed, Najd","Aldahmani, Saeed"],"url":"https://arxiv.org/abs/2211.11278","arxiv_id":"2211.11278","published":"2026-08-03"},{"title":"Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions","abstract":"We study the tradeoff between consistency and robustness in the context of a single-trajectory time-varying Markov Decision Process (MDP) with untrusted machine-learned advice. Our work departs from the typical approach of treating advice as coming from black-box sources by instead considering a setting where additional information about how the advice is generated is available. We prove a first-of-its-kind consisten","authors":["Li, Tongxin","Lin, Yiheng","Ren, Shaolei","Wierman, Adam"],"url":"https://arxiv.org/abs/2307.10524","arxiv_id":"2307.10524","published":"2026-08-03"},{"title":"Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces","abstract":"Tipping points are abrupt, drastic, and often irreversible changes in the evolution of non-stationary and chaotic dynamical systems. For instance, increased greenhouse gas concentrations are predicted to lead to drastic decreases in low cloud cover, referred to as a climatological tipping point. In this paper, we learn the evolution of such non-stationary dynamical systems using a novel recurrent neural operator (RNO","authors":["Liu-Schiaffini, Miguel","Singer, Clare E.","Kovachki, Nikola","Leung, Sze Chai","Bae, Hyunji Jane","Azizzadenesheli, Kamyar"],"url":"https://arxiv.org/abs/2308.08794","arxiv_id":"2308.08794","published":"2026-08-03"},{"title":"Information Processing by Neuron Populations in the Central Nervous System: A Theory of the Mathematical Structure of Data and Operations","abstract":"In the mammalian central nervous system, neurons are organized into populations communicating by spike trains propagating along axonal bundles. How such populations encode and transform information is only partially understood. In this study we introduce a mathematical framework derived from a mechanistic model of a single plastic neuron. Within this framework, an algebra of convex cones can rigorously characterize p","authors":["Nilsson, Martin N. P."],"url":"https://arxiv.org/abs/2309.02332","arxiv_id":"2309.02332","published":"2026-08-03"},{"title":"Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies","abstract":"This work introduces a novel principle for disentanglement we call mechanism sparsity regularization, which applies when the latent factors of interest depend sparsely on observed auxiliary variables and/or past latent factors. We propose a representation learning method that induces disentanglement by simultaneously learning the latent factors and the sparse causal graphical model that explains them. We develop a no","authors":["Lachapelle, Sébastien","López, Pau Rodríguez","Sharma, Yash","Everett, Katie","Priol, Rémi Le","Lacoste, Alexandre"],"url":"https://arxiv.org/abs/2401.04890","arxiv_id":"2401.04890","published":"2026-08-03"},{"title":"Gradient-free neural topology optimization: Towards effective fracture-resistant designs","abstract":"Gradient-free optimizers allow for tackling problems regardless of the smoothness or differentiability of their objective function, but they require many more iterations to converge when compared to gradient-based algorithms. This has made them unviable for topology optimization due to the high computational cost per iteration and the high dimensionality of these problems. We propose a gradient-free neural topology o","authors":["Kus, Gawel","Bessa, Miguel A."],"url":"https://arxiv.org/abs/2403.04937","arxiv_id":"2403.04937","published":"2026-08-03"},{"title":"Communication-Efficient Secure Aggregation in Decentralized Learning","abstract":"Decentralized learning (DL) enables participants to collaboratively train models without a central server, yet it faces significant scalability challenges that demand sparsification to reduce the prohibitive communication costs of peer-to-peer exchange. While secure aggregation effectively mitigates privacy risks in standard settings, it has remained fundamentally incompatible with sparsification in decentralized net","authors":["Biswas, Sayan","Kermarrec, Anne-Marie","Pires, Rafael","Sharma, Rishi","Vujasinovic, Milos"],"url":"https://arxiv.org/abs/2405.07708","arxiv_id":"2405.07708","published":"2026-08-03"},{"title":"Watermarking Language Models with Error Correcting Codes","abstract":"Recent progress in large language models enables the creation of realistic machine-generated content. Watermarking is a promising approach to distinguish machine-generated text from human text, embedding statistical signals in the output that are ideally undetectable to humans. We propose a watermarking framework that encodes such signals through an error correcting code. Our method, termed robust binary code (RBC) w","authors":["Chao, Patrick","Sun, Yan","Dobriban, Edgar","Hassani, Hamed"],"url":"https://arxiv.org/abs/2406.10281","arxiv_id":"2406.10281","published":"2026-08-03"},{"title":"Unified continuous-time q-learning for mean-field game and mean-field control problems","abstract":"This paper studies the continuous-time q-learning in mean-field jump-diffusion models in a setting where the environment simulator does not provide direct access to the population distribution. We propose the integrated q-function in decoupled form (decoupled Iq-function) and establish its martingale characterization, which provides a unified policy evaluation rule for both mean-field game (MFG) and mean-field contro","authors":["Wei, Xiaoli","Yu, Xiang","Yuan, Fengyi"],"url":"https://arxiv.org/abs/2407.04521","arxiv_id":"2407.04521","published":"2026-08-03"},{"title":"Contrastive Learning for Image Complexity Representation","abstract":"Quantifying and evaluating image complexity can be instrumental in enhancing the performance of various computer vision tasks. Supervised learning can effectively learn image complexity features from well-annotated datasets. However, creating such datasets requires expensive manual annotation costs. The models may learn human subjective biases from it. In this work, we introduce the MoCo v2 framework. We utilize cont","authors":["Liu, Shipeng","Zhao, Liang","Chen, Dengfeng","Song, Zhanping"],"url":"https://arxiv.org/abs/2408.03230","arxiv_id":"2408.03230","published":"2026-08-03"},{"title":"Consistent machine learning for topology optimization with microstructure-dependent neural network material models","abstract":"Additive manufacturing methods together with topology optimization have enabled the creation of multiscale structures with controlled spatially-varying material microstructure. However, topology optimization or inverse design of such structures in the presence of nonlinearities remains a challenge due to the expense of computational homogenization methods and the complexity of differentiably parameterizing the micros","authors":["Vijayakumaran, Harikrishnan","Russ, Jonathan B.","Paulino, Glaucio H.","Bessa, Miguel A."],"url":"https://arxiv.org/abs/2408.13843","arxiv_id":"2408.13843","published":"2026-08-03"},{"title":"SynCoTrain: A Dual Classifier PU-learning Framework for Synthesizability Prediction","abstract":"Material discovery is a cornerstone of modern science, driving advancements in diverse disciplines from biomedical technology to climate solutions. Predicting synthesizability, a critical factor in realizing novel materials, remains a complex challenge due to the limitations of traditional heuristics and thermodynamic proxies. While stability metrics such as formation energy offer partial insights, they fail to accou","authors":["Amariamir, Sasan","George, Janine","Benner, Philipp"],"url":"https://arxiv.org/abs/2411.12011","arxiv_id":"2411.12011","published":"2026-08-03"},{"title":"Nonlinear Assimilation via Score-based Sequential Langevin Sampling","abstract":"This paper introduces score-based sequential Langevin sampling (SSLS), a novel approach to nonlinear data assimilation within a recursive Bayesian filtering framework. The proposed method decomposes the assimilation process into alternating prediction and update steps, using dynamic models for state prediction and incorporating observational data via score-based Langevin Monte Carlo during the updates. To overcome in","authors":["Ding, Zhao","Duan, Chenguang","Jiao, Yuling","Yang, Jerry Zhijian","Yuan, Cheng","Zhang, Pingwen"],"url":"https://arxiv.org/abs/2411.13443","arxiv_id":"2411.13443","published":"2026-08-03"},{"title":"Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook","abstract":"We survey deepfake generation and detection techniques, covering all deepfake media types: image, video, audio and multimodal content. We identify various kinds of deepfakes and construct taxonomies of deepfake generation and detection methods, illustrating the important groups of methods. Next, we gather datasets used for deepfake detection and provide updated rankings of the best performing detectors on the most po","authors":["Croitoru, Florinel-Alin","Hiji, Andrei-Iulian","Hondru, Vlad","Ristea, Nicolae Catalin","Irofti, Paul","Popescu, Marius"],"url":"https://arxiv.org/abs/2411.19537","arxiv_id":"2411.19537","published":"2026-08-03"},{"title":"Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints","abstract":"Offline diversity maximization under imitation constraints can transform demonstration data into a set of distinct behavioral policies, improving robustness to distribution shift without additional environment interaction. In practice, however, existing offline approaches often rely on mutual-information objectives that require training a skill discriminator and can become unstable under the non-stationary rewards in","authors":["Kolev, Pavel","Vlastelica, Marin","Martius, Georg"],"url":"https://arxiv.org/abs/2501.04426","arxiv_id":"2501.04426","published":"2026-08-03"},{"title":"Self-reflecting Large Language Models: A Hegelian Dialectical Approach","abstract":"In this paper, we introduce a self-reflection framework for Large Language Models (LLMs) grounded in the Hegelian Dialectic, a philosophical method in which an initial proposition is challenged by a generated opposition, and both are reconciled into a unified, more comprehensive idea. We formalize this process as an iterative operator over the space of consistent theories and apply it to two complementary tasks:(i) g","authors":["Abdali, Sara","Solodko, Michael","Goksen, Can","Amizadeh, Saeed","Maybee, Julie E.","Koishida, Kazuhito"],"url":"https://arxiv.org/abs/2501.14917","arxiv_id":"2501.14917","published":"2026-08-03"},{"title":"Combining Large Language Models and Symbolic Reasoning for Multi-Robot Temporal Planning through Explainable Knowledge Bases","abstract":"We present PLANTOR, a framework for generating and executing multi-robot task plans from natural-language task descriptions through LLM-assisted knowledge-base construction. The approach uses large language models to synthesize a structured Prolog knowledge-base, applies consistency checks to detect and repair modeling errors, generates a high-level symbolic plan, refines it into low-level robot actions, and computes","authors":["Saccon, Enrico","Saveriano, Matteo","Lamon, Edoardo","Palopoli, Luigi","Roveri, Marco"],"url":"https://arxiv.org/abs/2502.19135","arxiv_id":"2502.19135","published":"2026-08-03"},{"title":"Dimensionality reduction for homological stability and global structure preservation","abstract":"We propose DiRe, a force-directed dimensionality reduction framework designed to preserve global structure and homological features while remaining practical on modern hardware. The method combines an initial embedding with a graph-based layout optimization and evaluates the resulting low-dimensional representation using local distortion, context preservation, and persistent homology measures. Across the benchmark su","authors":["Kolpakov, Alexander","Rivin, Igor"],"url":"https://arxiv.org/abs/2503.03156","arxiv_id":"2503.03156","published":"2026-08-03"},{"title":"Reproducing Human Individual Motor Signatures: A Data-Driven Approach for Repetitive Motion","abstract":"The deployment of autonomous virtual avatars (in extended reality) and robots in human group activities---such as rehabilitation therapy, sports, and manufacturing---is expected to increase as these technologies become more pervasive. Designing cognitive architectures and control strategies to drive these agents requires realistic models of human motion. Furthermore, recent research has shown that each person exhibit","authors":["Di Porzio, Angelo","Coraggio, Marco"],"url":"https://arxiv.org/abs/2503.15225","arxiv_id":"2503.15225","published":"2026-08-03"},{"title":"Concept Extraction for Time Series with ECLAD-ts","abstract":"Convolutional neural networks (CNNs) for time series classification (TSC) are being increasingly used in applications ranging from quality prediction to medical diagnosis. The black box nature of these models makes understanding their prediction process difficult. This issue is crucial because CNNs are prone to learning shortcuts and biases, compromising their robustness and alignment with human expectations. To asse","authors":["Holzapfel, Antonia","Posada-Moreno, Andres Felipe","Trimpe, Sebastian"],"url":"https://arxiv.org/abs/2504.05024","arxiv_id":"2504.05024","published":"2026-08-03"},{"title":"Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms","abstract":"Estimating item difficulty through field-testing is often resource-intensive and time-consuming. As such, there is strong motivation to develop methods that can predict item difficulty at scale using only the item content. Large Language Models (LLMs) represent a new frontier for this goal. The present research examines the feasibility of using an LLM to predict item difficulty for K-5 mathematics and reading assessm","authors":["Razavi, Pooya","Powers, Sonya"],"url":"https://arxiv.org/abs/2504.08804","arxiv_id":"2504.08804","published":"2026-08-03"}],"history":{"events":[{"year":2019,"text":"A mass shooting occurred at a Walmart in El Paso, Texas, killing 23 people and injuring 22 others.","url":"https://en.wikipedia.org/wiki/2019_El_Paso_Walmart_shooting"},{"year":2009,"text":"The last vessels involved in Taurus 09, a Royal Navy training deployment covering 20,400 miles (32,800 km), returned to HMNB Devonport, England.","url":"https://en.wikipedia.org/wiki/Taurus_09"},{"year":2005,"text":"Mauritanian president Maaouya Ould Sid'Ahmed Taya was overthrown in a military coup while he attended the funeral of King Fahd of Saudi Arabia.","url":"https://en.wikipedia.org/wiki/Maaouya_Ould_Sid'Ahmed_Taya"},{"year":1997,"text":"The Sky Tower, then the tallest free-standing structure in the Southern Hemisphere at 328 m (1,076 ft), opened in Auckland, New Zealand.","url":"https://en.wikipedia.org/wiki/Sky_Tower_(Auckland)"},{"year":1975,"text":"A privately chartered Boeing 707 (aircraft involved pictured) struck a mountain peak and crashed near Agadir, Morocco, killing 188.","url":"https://en.wikipedia.org/wiki/Boeing_707"},{"year":1971,"text":"Fighting Dinosaurs, a fossil specimen featuring a Velociraptor and a Protoceratops in combat, was unearthed in the Djadochta Formation of Mongolia.","url":"https://en.wikipedia.org/wiki/Fighting_Dinosaurs"},{"year":1940,"text":"World War II: Italian forces began a conquest of British Somaliland, capturing the region in 16 days.","url":"https://en.wikipedia.org/wiki/World_War_II"},{"year":1936,"text":"African-American athlete Jesse Owens won the first of his four gold medals at the Berlin Olympics, dashing Nazi leaders' hopes of Aryan domination at the games.","url":"https://en.wikipedia.org/wiki/African_Americans"},{"year":1929,"text":"Jiddu Krishnamurti (pictured), believed by some Theosophists to be a likely candidate for the messianic \"World Teacher\", dissolved the Order of the Star, the organisation established to support him.","url":"https://en.wikipedia.org/wiki/Jiddu_Krishnamurti"},{"year":1913,"text":"An agricultural workers' strike in Wheatland degenerated into a riot, becoming one of the first major farm-labor confrontations in California.","url":"https://en.wikipedia.org/wiki/Wheatland%2C_California"},{"year":1903,"text":"Macedonian rebels in Kruševo established a republic, which existed for ten days before Ottoman forces destroyed the town.","url":"https://en.wikipedia.org/wiki/Internal_Macedonian_Revolutionary_Organization"},{"year":1857,"text":"Indian Rebellion: An eight-day siege of a fortified outbuilding in Arrah occupied by 68 defenders against more than 10,000 men ended when a relief party dispersed the besiegers.","url":"https://en.wikipedia.org/wiki/Indian_Rebellion_of_1857"},{"year":1460,"text":"James II of Scotland (pictured) was killed by an exploding cannon at Roxburgh Castle.","url":"https://en.wikipedia.org/wiki/James_II_of_Scotland"},{"year":1347,"text":"Hundred Years' War: The French town of Calais capitulated to English forces after an eleven-month siege, ending the Crécy campaign.","url":"https://en.wikipedia.org/wiki/Hundred_Years'_War"},{"year":1057,"text":"Pope Stephen IX was crowned as pope.","url":"https://en.wikipedia.org/wiki/Pope_Stephen_IX"}],"births":[{"year":1999,"text":"Zach Wilson, American football player","url":"https://en.wikipedia.org/wiki/Zach_Wilson"},{"year":1999,"text":"Brahim Díaz, Spanish-Moroccan footballer","url":"https://en.wikipedia.org/wiki/Brahim_D%C3%ADaz"},{"year":1999,"text":"Yoo Yeon-jung, South Korean singer","url":"https://en.wikipedia.org/wiki/Yoo_Yeon-jung"},{"year":1997,"text":"Luis Robert Jr., Cuban baseball player","url":"https://en.wikipedia.org/wiki/Luis_Robert_Jr."},{"year":1996,"text":"Alec Bohm, American baseball player","url":"https://en.wikipedia.org/wiki/Alec_Bohm"},{"year":1996,"text":"Bokondji Imama, Canadian ice hockey player","url":"https://en.wikipedia.org/wiki/Bokondji_Imama"},{"year":1996,"text":"Derwin James, American football player","url":"https://en.wikipedia.org/wiki/Derwin_James"},{"year":1995,"text":"Zac Gallen, American baseball player","url":"https://en.wikipedia.org/wiki/Zac_Gallen"}],"deaths":[{"year":2025,"text":"Loni Anderson, American actress (born 1945)","url":"https://en.wikipedia.org/wiki/Loni_Anderson"},{"year":2024,"text":"Yamini Krishnamurthy, Indian dancer (born 1940)","url":"https://en.wikipedia.org/wiki/Yamini_Krishnamurthy"},{"year":2023,"text":"Mark Margolis, American actor (born 1939)","url":"https://en.wikipedia.org/wiki/Mark_Margolis"},{"year":2023,"text":"Bram Moolenaar, Dutch software engineer (born 1961)","url":"https://en.wikipedia.org/wiki/Bram_Moolenaar"},{"year":2022,"text":"Jackie Walorski, American politician (born 1963)","url":"https://en.wikipedia.org/wiki/Jackie_Walorski"},{"year":2020,"text":"John Hume, Northern Irish politician (born 1937)","url":"https://en.wikipedia.org/wiki/John_Hume"},{"year":2015,"text":"Robert Conquest, English-American historian, poet, and academic (born 1917)","url":"https://en.wikipedia.org/wiki/Robert_Conquest"},{"year":2015,"text":"Mel Farr, American football player and businessman (born 1944)","url":"https://en.wikipedia.org/wiki/Mel_Farr"}]},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","licence":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","licence":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv 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Every item links to its source."}