{"date":"2026-06-02","schema_version":1,"captured_at":"2026-08-25T23:10:49.778Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Backrooms (film)","views":388539,"rank":3,"extract":"Backrooms is a 2026 American science fiction psychological horror film directed and co-scored by Kane Parsons, and written by Will Soodik. It is based on Parsons's web series which was inspired by the \"Backrooms\" creepypasta. In the film, Clark, a furniture st","url":"https://en.wikipedia.org/wiki/Backrooms_(film)","thumb":"https://upload.wikimedia.org/wikipedia/en/3/3d/Backrooms_%28film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Euphoria (American TV series)","views":373031,"rank":4,"extract":"Euphoria is an American psychological drama television series created and written by Sam Levinson for HBO. Based on the Israeli miniseries of the same name created by Ron Leshem, the series stars Zendaya as drug-addicted teenager Rue Bennett, who also serves a","url":"https://en.wikipedia.org/wiki/Euphoria_(American_TV_series)","thumb":null},{"title":"Obsession (2025 film)","views":317434,"rank":6,"extract":"Obsession is a 2025 American supernatural horror film written, directed, and edited by Curry Barker. The film follows Bear, a music store employee who buys a supernatural toy that grants his wish for his friend Nikki to fall in love with him, which makes her b","url":"https://en.wikipedia.org/wiki/Obsession_(2025_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/0/05/Obsession_theatrical_poster.jpeg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Callum Turner","views":265165,"rank":7,"extract":"Callum Robilliard Turner is a British actor. After working as a fashion model, he began working in film and television. 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A versatile player, he played in multiple positions, including on the wing, in midfield, and at full-back. He holds the record for the most Premier League appearances (658) and the longest conti","url":"https://en.wikipedia.org/wiki/James_Milner","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/4/40/2022-07-21_Fu%C3%9Fball%2C_M%C3%A4nner%2CFreundschaftsspiel%2C_RB_Leipzig_-_FC_Liverpool_1DX_2223_by_Stepro.jpg/330px-2022-07-21_Fu%C3%9Fball%2C_M%C3%A4nner%2CFreundschaftsspiel%2C_RB_Leipzig_-_FC_Liverpool_1DX_2223_by_Stepro.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Disco","views":83144,"rank":29,"extract":"Disco is a genre of dance music and a subculture that emerged in the late 1960s from the United States' urban nightlife scene. 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Nicknamed \"King Kev\" or \"Mighty Mouse\", Keegan was recognised for his dribbling ability, finishing and presence in the air, as much as he was for h","url":"https://en.wikipedia.org/wiki/Kevin_Keegan","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/3/37/Kevin_keegan_panini_card_%28cropped%29.jpg/330px-Kevin_keegan_panini_card_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Michael Jackson","views":73274,"rank":34,"extract":"Michael Joseph Jackson was an American singer, songwriter, dancer, and philanthropist. Dubbed the \"King of Pop\", he is widely regarded as one of the most culturally significant figures of the 20th century. 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He is a left-handed top order batter and an occasional slow left-arm orthodox bowler. He made his international debut for the Indian cricket team in the T20I series against England","url":"https://en.wikipedia.org/wiki/Vaibhav_Sooryavanshi","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/68/Vaibhav_Suryavanshi_meets_PM_Modi.jpg/330px-Vaibhav_Suryavanshi_meets_PM_Modi.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"}],"frontier":[{"title":"Gmail thinks I'm stupid, so I left","points":1193,"comments":828,"url":"https://moddedbear.com/gmail-thinks-im-stupid-so-i-left","discussion":"https://news.ycombinator.com/item?id=48375016"},{"title":"Please don't spam people looking for employment. It's just cruel","points":969,"comments":273,"url":"https://news.ycombinator.com/item?id=48370330","discussion":"https://news.ycombinator.com/item?id=48370330"},{"title":"Adafruit receives demand letter from Fenwick legal counsel on behalf of Flux.ai","points":684,"comments":283,"url":"https://blog.adafruit.com/","discussion":"https://news.ycombinator.com/item?id=48368121"},{"title":"1-Click GitHub Token Stealing via a VSCode Bug","points":660,"comments":101,"url":"https://blog.ammaraskar.com/github-token-stealing/","discussion":"https://news.ycombinator.com/item?id=48371562"},{"title":"MAI-Code-1-Flash","points":540,"comments":255,"url":"https://microsoft.ai/news/introducingmai-code-1-flash/","discussion":"https://news.ycombinator.com/item?id=48374466"},{"title":"Why Janet? (2023)","points":489,"comments":267,"url":"https://ianthehenry.com/posts/why-janet/","discussion":"https://news.ycombinator.com/item?id=48367907"},{"title":"CT scans of BYD car parts","points":488,"comments":388,"url":"https://www.lumafield.com/scan-of-the-month/byd","discussion":"https://news.ycombinator.com/item?id=48375824"},{"title":"Use your Nvidia GPU's VRAM as swap space on Linux","points":472,"comments":126,"url":"https://github.com/c0dejedi/nbd-vram","discussion":"https://news.ycombinator.com/item?id=48377404"},{"title":"AI outperforms law professors in Stanford Law study","points":417,"comments":356,"url":"https://law.stanford.edu/press/ai-outperforms-law-professors-in-stanford-law-study/","discussion":"https://news.ycombinator.com/item?id=48377761"},{"title":"A walking tour of surveillance infrastructure in Seattle (2020)","points":415,"comments":318,"url":"https://coveillance.org/a-walking-tour-of-surveillance-infrastructure-in-seattle/","discussion":"https://news.ycombinator.com/item?id=48369980"},{"title":"macOS needs its grid back","points":399,"comments":265,"url":"https://blog.hopefullyuseful.com/blog/macos-needs-its-grid-back/","discussion":"https://news.ycombinator.com/item?id=48364800"},{"title":"Love systemd timers","points":396,"comments":300,"url":"https://blog.tjll.net/you-dont-love-systemd-timers-enough/","discussion":"https://news.ycombinator.com/item?id=48367904"},{"title":"Larry Ellison: \"Citizens will be on their best behavior because we’re recording\"","points":345,"comments":264,"url":"https://www.techradar.com/pro/quote-of-the-day-by-oracle-co-founder-larry-ellison-citizens-will-be-on-their-best-behavior-because-were-constantly-recording-and-reporting-everything-that-is-going-on-a-dire-warning-on-the-erosion-of-privacy","discussion":"https://news.ycombinator.com/item?id=48373391"},{"title":"Stop Ruining It","points":325,"comments":160,"url":"https://seths.blog/2026/06/stop-ruining-it/","discussion":"https://news.ycombinator.com/item?id=48368059"},{"title":"My thoughts after using Clojure for about a month","points":319,"comments":192,"url":"https://www.acdw.net/clojure/","discussion":"https://news.ycombinator.com/item?id=48375393"},{"title":"Apple rejected my dictation app for using the accessibility API","points":316,"comments":169,"url":"https://www.mitmllc.com/blog/apple-rejected-my-dictation-app/","discussion":"https://news.ycombinator.com/item?id=48369088"},{"title":"I'm skeptical about efforts to revolutionize schooling","points":311,"comments":540,"url":"https://www.scotthyoung.com/blog/2026/05/27/revolutionize-schooling/","discussion":"https://news.ycombinator.com/item?id=48376008"},{"title":"Show HN: Eyeball","points":295,"comments":88,"url":"https://eyeball.rory.codes/","discussion":"https://news.ycombinator.com/item?id=48367723"},{"title":"Show HN: Edsger – A handwritten Clojure REPL for the reMarkable 2","points":264,"comments":34,"url":"https://handwritten.danieljanus.pl/2026-06-01-edsger.html","discussion":"https://news.ycombinator.com/item?id=48374552"},{"title":"The advertising cartel coming to your web browser","points":246,"comments":70,"url":"https://blog.zgp.org/the-advertising-cartel-coming-to-your-web-browser/","discussion":"https://news.ycombinator.com/item?id=48375175"},{"title":"Trump signs downsized AI order after weeks of reversals","points":241,"comments":172,"url":"https://www.politico.com/news/2026/06/02/trump-signs-downsized-ai-order-00946389","discussion":"https://news.ycombinator.com/item?id=48372628"},{"title":"Preparing for KDE Plasma's Last X11-Supported Release","points":238,"comments":382,"url":"https://blog.davidedmundson.co.uk/blog/596/","discussion":"https://news.ycombinator.com/item?id=48370588"},{"title":"U.S. Army Corps of Engineers Bay Model","points":235,"comments":63,"url":"https://en.wikipedia.org/wiki/U.S._Army_Corps_of_Engineers_Bay_Model","discussion":"https://news.ycombinator.com/item?id=48373642"},{"title":"Three Ways to Get Paid (2018)","points":233,"comments":144,"url":"https://jasonzweig.com/three-ways-to-get-paid/","discussion":"https://news.ycombinator.com/item?id=48373054"},{"title":"Pluto.jl 1.0 release – reactive notebook for Julia","points":231,"comments":39,"url":"https://discourse.julialang.org/t/pluto-1-0-release/137296","discussion":"https://news.ycombinator.com/item?id=48377496"}],"research":[{"title":"Braille to Text Translation for Bengali Language: A Geometric Approach","abstract":"Braille is the only system to visually impaired people for reading and writing. However, general people cannot read Braille. So, teachers and relatives find it hard to assist them with learning. Almost every major language has software solutions for this translation purpose. However, in Bengali there is an absence of this useful tool. Here, we propose Braille to Text Translator, which takes image of these tactile alp","authors":["Kamal, Minhas","Ali, Amin Ahsan","Khan, Muhammad Asif Hossain","Shoyaib, Mohammad"],"url":"https://arxiv.org/abs/2012.01494","arxiv_id":"2012.01494","published":"2026-06-02"},{"title":"What augmentations are sensitive to hyper-parameters and why?","abstract":"We apply augmentations to our dataset to enhance the quality of our predictions and make our final models more resilient to noisy data and domain drifts. Yet the question remains, how are these augmentations going to perform with different hyper-parameters? In this study we evaluate the sensitivity of augmentations with regards to the model's hyper parameters along with their consistency and influence by performi","authors":["Awais, Ch Muhammad","Bekkouch, Imad Eddine Ibrahim"],"url":"https://arxiv.org/abs/2111.03861","arxiv_id":"2111.03861","published":"2026-06-02"},{"title":"CrowdFormer: Weakly-supervised Crowd counting with Improved Generalizability","abstract":"Convolutional neural networks (CNNs) have dominated the field of computer vision for nearly a decade due to their strong ability to learn local features. However, due to their limited receptive field, CNNs fail to model the global context. On the other hand, transformer, an attention-based architecture can model the global context easily. Despite this, there are limited studies that investigate the effectiveness of t","authors":["Savner, Siddharth Singh","Kanhangad, Vivek"],"url":"https://arxiv.org/abs/2203.03768","arxiv_id":"2203.03768","published":"2026-06-02"},{"title":"Representation-Centric Survey of Supervised Skeletal Action Recognition and the New Benchmark","abstract":"3D skeletal action recognition has emerged as a powerful alternative to traditional RGB and depth-based approaches, offering robustness to environmental variations, computational efficiency, and enhanced privacy. Despite remarkable progress, current research remains fragmented across diverse input representations and lacks evaluation under scenarios that reflect real-world challenges. This paper presents a representa","authors":["Liu, Yang","Yang, Jiyao","Perera, Madhawa","Ji, Pan","Kim, Dongwoo","Xu, Min"],"url":"https://arxiv.org/abs/2205.02071","arxiv_id":"2205.02071","published":"2026-06-02"},{"title":"Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification","abstract":"Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and then pass the information across them to achieve stronger features. But we find existing graph-based methods in the visible-infrared person re-identification task (VI-ReID) suffer from bad generalization because of two issues: 1) train-test","authors":["Li, Xulin","Lu, Yan","Liu, Bin","Liu, Yating","Yin, Guojun","Chu, Qi"],"url":"https://arxiv.org/abs/2208.00967","arxiv_id":"2208.00967","published":"2026-06-02"},{"title":"Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning","abstract":"In this paper we prove Gamma-convergence of a nonlocal perimeter of Minkowski type to a local anisotropic perimeter. The nonlocal model describes the regularizing effect of adversarial training in binary classifications. The energy essentially depends on the interaction between two distributions modelling likelihoods for the associated classes. We overcome typical strict regularity assumptions for the distributions b","authors":["Bungert, Leon","Stinson, Kerrek"],"url":"https://arxiv.org/abs/2211.15223","arxiv_id":"2211.15223","published":"2026-06-02"},{"title":"Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator","abstract":"Hyperparameter optimization (HPO) is a vital step in improving performance in deep learning (DL). Practitioners are often faced with the trade-off between multiple criteria, such as accuracy and latency. Given the high computational needs of DL and the growing demand for efficient HPO, the acceleration of multi-objective (MO) optimization becomes ever more important. Despite the significant body of work on meta-learn","authors":["Watanabe, Shuhei","Awad, Noor","Onishi, Masaki","Hutter, Frank"],"url":"https://arxiv.org/abs/2212.06751","arxiv_id":"2212.06751","published":"2026-06-02"},{"title":"PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces","abstract":"The recent rise in popularity of Hyperparameter Optimization (HPO) for deep learning has highlighted the role that good hyperparameter (HP) space design can play in training strong models. In turn, designing a good HP space is critically dependent on understanding the role of different HPs. This motivates research on HP Importance (HPI), e.g., with the popular method of functional ANOVA (f-ANOVA). However, the origin","authors":["Watanabe, Shuhei","Bansal, Archit","Hutter, Frank"],"url":"https://arxiv.org/abs/2304.10255","arxiv_id":"2304.10255","published":"2026-06-02"},{"title":"Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance","abstract":"Recent scientific advances require complex experiment design, necessitating the meticulous tuning of many experiment parameters. Tree-structured Parzen estimator (TPE) is a widely used Bayesian optimization method in recent parameter tuning frameworks such as Hyperopt and Optuna. Despite its popularity, the roles of each control parameter in TPE and the algorithm intuition have not been discussed so far. The goal of ","authors":["Watanabe, Shuhei"],"url":"https://arxiv.org/abs/2304.11127","arxiv_id":"2304.11127","published":"2026-06-02"},{"title":"A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction","abstract":"Is there a statistical difference between Naive Bayes and Random Forest in terms of recall, f-measure, and precision for predicting software defects? By utilizing systematic literature review and meta-analysis, we are answering this question. We conducted a systematic literature review by establishing criteria to search and choose papers, resulting in five studies. After that, using the meta-data and forest-plots of ","authors":["Awais, Ch Muhammad","Gu, Wei","Dlamini, Gcinizwe","Kholmatova, Zamira","Succi, Giancarlo"],"url":"https://arxiv.org/abs/2306.15369","arxiv_id":"2306.15369","published":"2026-06-02"},{"title":"Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning","abstract":"Many real-world optimization problems contain parameters that are unknown before deployment time, either due to stochasticity or to lack of information (e.g., demand or travel times in delivery problems). A common strategy in such cases is to estimate said parameters via machine learning (ML) models trained to minimize the prediction error, which however is not necessarily aligned with the downstream task-level error","authors":["Silvestri, Mattia","Berden, Senne","Mandi, Jayanta","Mahmutoğulları, Ali İrfan","Amos, Brandon","Guns, Tias"],"url":"https://arxiv.org/abs/2307.05213","arxiv_id":"2307.05213","published":"2026-06-02"},{"title":"DeepIPCv2: LiDAR-powered Robust Environmental Perception and Navigational Control for Autonomous Vehicle","abstract":"We propose DeepIPCv2, an end-to-end autonomous driving framework that integrates LiDAR-based environmental perception with command-specific control learning. Unlike prior camera-reliant models, DeepIPCv2 employs point cloud segmentation and multi-view projection to construct robust scene representations. These features are fused and decoded through a combination of gated recurrent units, command-specific multi-layer ","authors":["Natan, Oskar","Miura, Jun"],"url":"https://arxiv.org/abs/2307.06647","arxiv_id":"2307.06647","published":"2026-06-02"},{"title":"Optimizing accuracy and diversity: a multi-task approach to forecast combinations","abstract":"We present a multi-task optimization approach based on a deep learning architecture for time series forecasting. We leverage large collections of time series to identify the weights of forecasting models that can be combined to produce forecasts for each series. This method jointly addresses two tasks: the selection of different forecasting models, and their effective combination. In doing so, it keeps into account, ","authors":["Felici, Giovanni","Sudoso, Antonio M."],"url":"https://arxiv.org/abs/2310.20545","arxiv_id":"2310.20545","published":"2026-06-02"},{"title":"Finetuning Large Language Models for Vulnerability Detection","abstract":"This paper presents the results of finetuning large language models (LLMs) for the task of detecting vulnerabilities in source code. We leverage WizardCoder, a recent improvement of the state-of-the-art LLM StarCoder, and adapt it for vulnerability detection through further finetuning. To accelerate training, we modify WizardCoder's training procedure, also we investigate optimal training regimes. For the imbalan","authors":["Shestov, Alexey","Levichev, Rodion","Mussabayev, Ravil","Maslov, Evgeny","Cheshkov, Anton","Zadorozhny, Pavel"],"url":"https://arxiv.org/abs/2401.17010","arxiv_id":"2401.17010","published":"2026-06-02"},{"title":"Discovering Nonlinear Static Relationships in Unlabeled Dataset using Autoencoder with Ordered Variance","abstract":"This paper presents an autoencoder with ordered variance (AEO), in which the conventional reconstruction loss is augmented by a variance-based regularization term that promotes an ordered structure within the latent space. In this structure, the latent variables are ordered by their variance computed over the training data, facilitating systematic determination of the latent space dimensionality. The AEO is further e","authors":["Augustine, Midhun T.","Patil, Parag","Bhushan, Mani","Bhartiya, Sharad"],"url":"https://arxiv.org/abs/2402.14031","arxiv_id":"2402.14031","published":"2026-06-02"},{"title":"Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction","abstract":"Standard English and Malaysian English exhibit notable differences, posing challenges for natural language processing (NLP) tasks on Malaysian English. Unfortunately, most of the existing datasets are mainly based on standard English and therefore inadequate for improving NLP tasks in Malaysian English. An experiment using state-of-the-art Named Entity Recognition (NER) solutions on Malaysian English news articles hi","authors":["Chanthran, Mohan Raj","Soon, Lay-Ki","Ong, Huey Fang","Selvaretnam, Bhawani"],"url":"https://arxiv.org/abs/2402.14521","arxiv_id":"2402.14521","published":"2026-06-02"},{"title":"Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees","abstract":"This paper presents a method to synthesize neural network controllers to maximize reward subject to the hard constraint that the feedback system of plant and controller be dissipative, certifying requirements such as stability and $L_2$ gain bounds. It considers nonlinear and uncertain plants, modeled as the interconnection of a linear time-invariant (LTI) system and an uncertainty block, which incorporates nonlinear","authors":["Junnarkar, Neelay","Arcak, Murat","Seiler, Peter"],"url":"https://arxiv.org/abs/2404.07373","arxiv_id":"2404.07373","published":"2026-06-02"},{"title":"Attack on Scene Flow using Point Clouds","abstract":"Deep neural networks have made significant advancements in accurately estimating scene flow using point clouds, which is vital for many applications like video analysis, action recognition, and navigation. The robustness of these techniques, however, remains a concern, particularly in the face of adversarial attacks that have been proven to deceive state-of-the-art deep neural networks in many domains. Surprisingly, ","authors":["Oskouie, Haniyeh Ehsani","Moin, Mohammad-Shahram","Kasaei, Shohreh"],"url":"https://arxiv.org/abs/2404.13621","arxiv_id":"2404.13621","published":"2026-06-02"},{"title":"Lessons from the Trenches on Reproducible Evaluation of Language Models","abstract":"Reliable evaluation of language models (LMs) remains an open challenge. Re- searchers and engineers face methodological issues such as the sensitivity of models to evaluation setup, difficulty of proper comparisons across methods, and the lack of reproducibility and transparency. Evaluation difficulties are exacer- bated by the fracturing and siloing of information about conventions and common practices. In this pape","authors":["Biderman, Stella","Schoelkopf, Hailey","Sutawika, Lintang","Gao, Leo","Tow, Jonathan","Abbasi, Baber"],"url":"https://arxiv.org/abs/2405.14782","arxiv_id":"2405.14782","published":"2026-06-02"},{"title":"GSDeformer: Direct, Real-time and Extensible Cage-based Deformation for 3D Gaussian Splatting","abstract":"We present GSDeformer, a method that enables cage-based deformation on 3D Gaussian Splatting (3DGS). Our approach bridges cage-based deformation and 3DGS by using a proxy point-cloud representation. This point cloud is generated from 3D Gaussians, and deformations applied to the point cloud are translated into transformations on the 3D Gaussians. To handle potential bending caused by deformation, we incorporate a spl","authors":["Huang, Jiajun","Xu, Shuolin","Yu, Hongchuan","Lee, Tong-Yee"],"url":"https://arxiv.org/abs/2405.15491","arxiv_id":"2405.15491","published":"2026-06-02"},{"title":"DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning","abstract":"Dual-arm robots promise greater efficiency but require planning for complex tasks with nonlinear sub-task dependencies. Current methods using Large Language Models (LLMs) suffer from a fundamental trade-off: generating linear sequences is efficient but fails to model parallelism and adapt to changes, while iterative querying is adaptive but too slow and costly. To bridge this gap, we introduce DAG-Plan, a novel task ","authors":["Gao, Zeyu","Mu, Yao","Qu, Jinye","Hu, Mengkang","Peng, Shijia","Hou, Chengkai"],"url":"https://arxiv.org/abs/2406.09953","arxiv_id":"2406.09953","published":"2026-06-02"},{"title":"Bridging the Gap: Transfer Learning from English PLMs to Malaysian English","abstract":"Malaysian English is a low resource creole language, where it carries the elements of Malay, Chinese, and Tamil languages, in addition to Standard English. Named Entity Recognition (NER) models underperform when capturing entities from Malaysian English text due to its distinctive morphosyntactic adaptations, semantic features and code-switching (mixing English and Malay). Considering these gaps, we introduce MENmBER","authors":["Chanthran, Mohan Raj","Soon, Lay-Ki","Ong, Huey Fang","Selvaretnam, Bhawani"],"url":"https://arxiv.org/abs/2407.01374","arxiv_id":"2407.01374","published":"2026-06-02"},{"title":"MCPDepth: Omnidirectional Depth Estimation via Stereo Matching from Multi-Cylindrical Panoramas","abstract":"Omnidirectional depth estimation presents a significant challenge due to the inherent distortions in panoramic images. Despite notable advancements, the impact of projection methods remains underexplored. We introduce Multi-Cylindrical Panoramic Depth Estimation (MCPDepth), a novel two-stage framework designed to enhance omnidirectional depth estimation through stereo matching across multiple cylindrical panoramas. M","authors":["Qiao, Feng","Xiong, Zhexiao","Zhu, Xinge","Ma, Yuexin","He, Qiumeng","Jacobs, Nathan"],"url":"https://arxiv.org/abs/2408.01653","arxiv_id":"2408.01653","published":"2026-06-02"},{"title":"Asynchronous Stochastic Approximation with Applications to Average-Reward Reinforcement Learning","abstract":"This paper investigates the stability and convergence properties of asynchronous stochastic approximation (SA) algorithms, with a focus on extensions relevant to average-reward reinforcement learning. We first extend a stability proof method of Borkar and Meyn to accommodate more general noise conditions than previously considered, thereby yielding broader convergence guarantees for asynchronous SA. To sharpen the co","authors":["Yu, Huizhen","Wan, Yi","Sutton, Richard S."],"url":"https://arxiv.org/abs/2409.03915","arxiv_id":"2409.03915","published":"2026-06-02"},{"title":"Model X-Ray: Detection of Hidden Malware in AI Model Weights using Few Shot Learning","abstract":"The potential for exploitation of AI models has increased due to the rapid advancement of Artificial Intelligence (AI) and the widespread use of platforms like Model Zoo for sharing AI models. Attackers can embed malware within AI models through steganographic techniques, taking advantage of the substantial size of these models to conceal malicious data and use it for nefarious purposes, e.g. Remote Code Execution. E","authors":["Gilkarov, Daniel","Dubin, Ran"],"url":"https://arxiv.org/abs/2409.19310","arxiv_id":"2409.19310","published":"2026-06-02"}],"history":{"events":[{"year":2023,"text":"A collision between two passenger trains and a parked freight train near the city of Balasore, Odisha, in eastern India resulted in 296 deaths and more than 1,200 people injured.","url":"https://en.wikipedia.org/wiki/2023_Odisha_train_collision"},{"year":2010,"text":"A gunman carried out a shooting spree in Cumbria, England, killing 12 people and injuring 11 others before committing suicide.","url":"https://en.wikipedia.org/wiki/Cumbria_shootings"},{"year":2008,"text":"Artist Tim Buckley published \"Loss\" as part of his webcomic Ctrl+Alt+Del.","url":"https://en.wikipedia.org/wiki/Tim_Buckley_(comics)"},{"year":1995,"text":"Bosnian War: U.S. Air Force captain Scott O'Grady was shot down while patrolling the NATO no-fly zone over Bosnia, but ejected safely and was rescued six days later.","url":"https://en.wikipedia.org/wiki/Bosnian_War"},{"year":1983,"text":"After an emergency landing due to an in-flight fire, 23 passengers aboard Air Canada Flight 797 were killed when a flashover occurred as the aircraft's doors opened.","url":"https://en.wikipedia.org/wiki/Emergency_landing"},{"year":1973,"text":"Della Aleksander co-presented an episode of Open Door on transgender women's lives.","url":"https://en.wikipedia.org/wiki/Della_Aleksander"},{"year":1967,"text":"Benno Ohnesorg, a German university student, was killed in West Berlin while protesting against the visit of Shah Mohammad Reza Pahlavi of Iran; the anarchist militant 2 June Movement was later named after the incident.","url":"https://en.wikipedia.org/wiki/Killing_of_Benno_Ohnesorg"},{"year":1962,"text":"One of the most violent football matches took place at the World Cup as Chile defeated Italy in a group match.","url":"https://en.wikipedia.org/wiki/Association_football"},{"year":1955,"text":"The USSR and Yugoslavia sign the Belgrade declaration, legitimising different interpretations of Marxism in non-Soviet countries.","url":"https://en.wikipedia.org/wiki/Belgrade_declaration"},{"year":1953,"text":"Queen Elizabeth II was crowned at Westminster Abbey in London.","url":"https://en.wikipedia.org/wiki/Elizabeth_II"},{"year":1919,"text":"First Red Scare: The anarchist followers of Luigi Galleani (pictured) set off eight bombs in eight cities across the United States.","url":"https://en.wikipedia.org/wiki/First_Red_Scare"},{"year":1886,"text":"The wedding of Grover Cleveland and Frances Folsom (wedding depicted) took place in the White House, in the only time that a U.S. president has married in the building.","url":"https://en.wikipedia.org/wiki/Wedding_of_Grover_Cleveland_and_Frances_Folsom"},{"year":1878,"text":"Anarchist Karl Nobiling attempted to assassinate German Emperor Wilhelm I.","url":"https://en.wikipedia.org/wiki/Karl_Nobiling"},{"year":1805,"text":"Napoleonic Wars: A Franco-Spanish fleet recaptured the British-held Diamond Rock, an uninhabited island at the entrance to the bay leading to Fort-de-France, Martinique.","url":"https://en.wikipedia.org/wiki/Napoleonic_Wars"},{"year":1802,"text":"Henry Hacking killed the Aboriginal Australian resistance fighter Pemulwuy after Philip Gidley King ordered that he be brought in dead or alive.","url":"https://en.wikipedia.org/wiki/Henry_Hacking"}],"births":[{"year":2002,"text":"Madison Hu, American actress","url":"https://en.wikipedia.org/wiki/Madison_Hu"},{"year":2002,"text":"Fonua Pole, New Zealand rugby league player","url":"https://en.wikipedia.org/wiki/Fonua_Pole"},{"year":2001,"text":"Kysaiah Pickett, Australian rules footballer","url":"https://en.wikipedia.org/wiki/Kysaiah_Pickett"},{"year":2000,"text":"Jay Idzes, Indonesian footballer","url":"https://en.wikipedia.org/wiki/Jay_Idzes"},{"year":1999,"text":"Campbell Graham, Australian rugby league player","url":"https://en.wikipedia.org/wiki/Campbell_Graham"},{"year":1997,"text":"Scott Wozniak, American YouTuber","url":"https://en.wikipedia.org/wiki/Scott_the_Woz"},{"year":1996,"text":"Morissette, Filipina singer-songwriter","url":"https://en.wikipedia.org/wiki/Morissette_(singer)"},{"year":1993,"text":"Adam Taggart, Australian footballer","url":"https://en.wikipedia.org/wiki/Adam_Taggart"}],"deaths":[{"year":2024,"text":"Larry Allen, American football player (born 1971)","url":"https://en.wikipedia.org/wiki/Larry_Allen"},{"year":2024,"text":"Rob Burrow, English rugby league footballer (born 1982)","url":"https://en.wikipedia.org/wiki/Rob_Burrow"},{"year":2024,"text":"David Levy, Israeli politician (born 1937)","url":"https://en.wikipedia.org/wiki/David_Levy_(Israeli_politician)"},{"year":2024,"text":"Janis Paige, American actress and singer (born 1922)","url":"https://en.wikipedia.org/wiki/Janis_Paige"},{"year":2015,"text":"Fernando de Araújo, East Timorese politician, President of East Timor (born 1963)","url":"https://en.wikipedia.org/wiki/Fernando_de_Ara%C3%BAjo_(East_Timorese_politician)"},{"year":2015,"text":"Irwin Rose, American biologist and academic, Nobel Prize laureate (born 1926)","url":"https://en.wikipedia.org/wiki/Irwin_Rose"},{"year":2014,"text":"Ivica Brzić, Serbian footballer and manager (born 1941)","url":"https://en.wikipedia.org/wiki/Ivica_Brzi%C4%87"},{"year":2014,"text":"Nikolay Khrenkov, Russian bobsledder (born 1984)","url":"https://en.wikipedia.org/wiki/Nikolay_Khrenkov"}]},"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."}