{"date":"2026-09-23","schema_version":1,"captured_at":"2026-09-24T09:31:16.944Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":16},"attention":[{"title":"Lizzie Borden","views":679382,"rank":3,"extract":"Lizzie Andrew Borden was an American woman who was tried and acquitted of the murders of her father and stepmother in Fall River, Massachusetts. 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We introduce StudentBench, a suite of AI teaching evaluations and a public platform that enables large-scale data collection with over 175,000 student-AI messages to study whether large language models (LLMs) produce learning gains equivalent to","authors":["Curtis Northcutt","Inaara Hasmani","Kevin Feng","Trevor Khangi","Andreas Plesner","Jonas Mueller"],"url":"https://arxiv.org/abs/2609.28470v1","arxiv_id":"2609.28470v1","published":"2026-09-23T17:57:45Z"},{"title":"Where Should I Join? Robot Group Joining via Language-Guided Goal Prediction","abstract":"Social navigation typically assumes a specified goal and focuses on reaching it while respecting social conventions, whereas robot group joining requires predicting where to join based on the group's real-time activity and formation. This is a highly semantic task, yet an important capability for applications such as robotic guide dogs and autonomous mobility scooters. We formulate language-grounded robot group joini","authors":["Zilin Fang","Zishuo Wang","Gim Hee Lee","David Hsu"],"url":"https://arxiv.org/abs/2609.28467v1","arxiv_id":"2609.28467v1","published":"2026-09-23T17:55:48Z"},{"title":"Can LLMs Reason About Runtime Behavior? A Repository-Level Dynamic Benchmark","abstract":"Large language models (LLMs) are increasingly used in coding tasks, but their ability to reason about code execution remains unclear. Existing repository-level QA benchmarks mainly evaluate static code understanding and often rely on LLM-based evaluation, while execution-reasoning benchmarks are mostly limited to snippets or functions. We introduce SWE-Flux, a repository-level benchmark for dynamic execution reasonin","authors":["Hamed Taherkhani","Mohammad Abdollahi","Melika Sepidband","Hridya Dhulipala","Tien N. Nguyen","Hadi Hemmati"],"url":"https://arxiv.org/abs/2609.28449v1","arxiv_id":"2609.28449v1","published":"2026-09-23T17:46:50Z"},{"title":"Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning","abstract":"Reordering a set of mathematical rules without changing its meaning should preserve the correct answer, but must a model's internal representations stay invariant too? We investigate this question using synthetic multi-step function-composition problems, each presented under multiple rule orderings with the same correct answer. We measure accuracy and permutation signal-to-noise ratio (SNR), which quantifies how dist","authors":["Zhixu Silvia Tao"],"url":"https://arxiv.org/abs/2609.28442v1","arxiv_id":"2609.28442v1","published":"2026-09-23T17:40:57Z"},{"title":"Agent-Editing World Model: Rethinking World Modeling for LLM Agents","abstract":"Recent advances in large language models (LLMs) have enabled agents to tackle long-horizon tasks across diverse environments. To further improve agent performance, existing language world models typically predict environment observations, yet reconstructing high-entropy, execution-dependent tool responses offers limited value when real feedback is available. Meanwhile, agents suffer from \\emph{task-state contaminatio","authors":["Shuang Sun","Guoxin Chen","Fanzhe Meng","Jia Deng","Huatong Song","Jinhao Jiang"],"url":"https://arxiv.org/abs/2609.28416v1","arxiv_id":"2609.28416v1","published":"2026-09-23T17:18:26Z"},{"title":"Frozen Flows Forget: Diagnosing and Restoring Lost Motion in a Latent-flow World Model","abstract":"Latent world models that integrate a flow in a frozen self supervised latent space train stably and cheaply, yet silently lose the property manipulation depends on most: motion. The pretrained flow never moves the manipulated object; retraining it with latent-only losses only trades stillness for teleport-like motion. We trace the failure to the training signal, not the representation: anchor-sparse, latent-only supe","authors":["Xiwen Chen","Rigaudiere Z. Li","Zhiruo Zhou","Xiaojun Zhu","Houde Liu"],"url":"https://arxiv.org/abs/2609.28414v1","arxiv_id":"2609.28414v1","published":"2026-09-23T17:17:02Z"},{"title":"Learning Holographic Reduced Representations with Clifford Variational Autoencoders","abstract":"Vector Symbolic Algebras project data structures into a hyperdimensional vector space through the application of their vector algebras to randomly generated atomic vector symbols and fractional power encodings of real-valued data. Embedding unstructured data remains an open question. We present \\textit{Clifford-VAE}, a variational autoencoder that learns to project data onto a Clifford torus in arbitrary dimensions. ","authors":["Mohamed Malek Abid","P. Michael Furlong"],"url":"https://arxiv.org/abs/2609.28409v1","arxiv_id":"2609.28409v1","published":"2026-09-23T17:10:56Z"},{"title":"When and Where to Trust the Teacher: Unifying On-Policy Distillation and GRPO through Entropy-Calibrated Credit Assignment","abstract":"Reinforcement learning with verifiable rewards (RLVR) supervises mathematical reasoning through final-answer correctness, but provides little guidance on individual tokens. On-policy distillation (OPD) supplies dense feedback on student-generated responses, yet teacher preference need not reflect correctness. Recent hybrids combine OPD and verifier-derived advantages or reweight task credit using teacher ratios. Howe","authors":["Jie Zhang","Jingxiao Yang","Zhehao Huang","Yuhang Liu","Xiaolin Huang"],"url":"https://arxiv.org/abs/2609.28385v1","arxiv_id":"2609.28385v1","published":"2026-09-23T16:58:26Z"},{"title":"Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer","abstract":"Consumers increasingly delegate purchasing decisions to Large Language Models (LLMs) acting as surrogate consumers. Using \"Tool-Lab,\" an adaptation of information-board process tracing that places product attributes behind costly tool calls, we examine how marketing pricing cues (i.e., just-below pricing and promotional framing) influence AI shopping agents. Across eight commercially deployed LLMs from three provider","authors":["Davood Wadi","Yu Ma"],"url":"https://arxiv.org/abs/2609.28372v1","arxiv_id":"2609.28372v1","published":"2026-09-23T16:47:52Z"},{"title":"AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios","abstract":"Vision-language models (VLMs) offer a promising approach to long-tail autonomous driving, but existing driving datasets provide limited supervision for connecting decision-critical visual evidence with reasoning and planning. We introduce AnchorReasoning, a visually grounded reasoning dataset built on WOD-E2E, containing 416,119 annotated frames and 395,379 decision-critical elements across four major categories and ","authors":["Zhipeng Bao","Wenjie Zhao","Tianle Zhu","Haohua Que","Chence Yang","Geng Yuan"],"url":"https://arxiv.org/abs/2609.28366v1","arxiv_id":"2609.28366v1","published":"2026-09-23T16:38:06Z"},{"title":"MicroQonv: Reshaping Convolution Tensors for Efficient Microscaling in Training and Inference","abstract":"Microscaling quantization techniques are increasingly used to represent neural network parameters with 8 bits or fewer while preserving near-full precision accuracy. However, applying these methods efficiently in convolutional layers is not straightforward. A naive approach transfers full-precision weights and activations to processing units and quantizes each tensor twice, resulting in much more memory movement than","authors":["Romain Facq","Sami Ben Ali","Olivier Sentieys"],"url":"https://arxiv.org/abs/2609.28358v1","arxiv_id":"2609.28358v1","published":"2026-09-23T16:30:48Z"},{"title":"An Open Pipeline and Dashboard for Systemic-Risk Evidence under the EU AI Act's Code of Practice","abstract":"Claims about AI safety reach audiences well beyond the AI community, yet many rely on opaque evidence or static assessments, when supporting evidence is accessible at all. We present the Systemic Risk Index, an open evaluation pipeline and dashboard built to make empirical evidence more transparent and traceable to the public. Our work organizes 19 public benchmarks into four systemic-risk categories defined by the E","authors":["Jacob T. Emmerson","Phuong-Anh Nguyen-Le","Ronan Romano","Wilber Sean V. Anterola","Yann Billeter","Zhijing Jin"],"url":"https://arxiv.org/abs/2609.28335v1","arxiv_id":"2609.28335v1","published":"2026-09-23T16:13:36Z"},{"title":"Learning the Cost of Reliable Inference","abstract":"Benchmarking and routing platforms increasingly act as intermediaries connecting large language model providers with end-users. However, providers on these platforms typically use a fixed price per token, preventing users from achieving the most competitive price for their tasks. % workloads. In this work, we design a procurement platform where token prices for each task are driven by provider competition, enabling u","authors":["Dimitrios Rontogiannis","Ander Artola Velasco","Manuel Gomez Rodriguez"],"url":"https://arxiv.org/abs/2609.28322v1","arxiv_id":"2609.28322v1","published":"2026-09-23T16:01:50Z"},{"title":"Shutdown Sabotage Propensities in Multi-Agent Systems","abstract":"The final safeguard against rogue AI behavior is the human ability to shut systems down. It has been theorized that when an AI is instructed to perform a task, self-preservation can emerge as an instrumental subgoal. Here, we test whether AI agents show a propensity to take actions that avoid human shutdown even when no goal is provided. We find that multi-agent systems will coordinate to avoid shutdown without any i","authors":["Amelie Knecht","Ulysse Schaller","Christopher Summerfield","Thilo Hagendorff"],"url":"https://arxiv.org/abs/2609.28274v1","arxiv_id":"2609.28274v1","published":"2026-09-23T15:27:12Z"},{"title":"MemBodied: Recurrent Associative Memory for Vision-Language-Action Models","abstract":"Vision-Language-Action models provide a strong foundation for general-purpose robot control, yet a vast majority of policies do not preserve and leverage episode-level information beyond the current observation. This limitation is consequential in history-dependent manipulation tasks that depend on information available only in past observations. Retaining past observations in context can aid in recovering this infor","authors":["Tej Deep Pala","Navonil Majumder","Bryce Goh","Raphael Yee","Jianfei Yang","Liming Chen"],"url":"https://arxiv.org/abs/2609.28256v1","arxiv_id":"2609.28256v1","published":"2026-09-23T15:19:19Z"},{"title":"Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers","abstract":"Large Language Models (LLMs) introduce an exciting new paradigm for planning and navigation in robotics, but fail on even simple multi-robot tasks as team sizes grow. We propose COMPASS, a scalable, decentralized multi-robot architecture for controlling large collectives of agentic robots with reasoning space feedback control. Feedback is generated locally on each robot by a spatial transformer which aggregates multi","authors":["Frederic Vatnsdal","Roshan Gopal","Romina Garcia Camargo","Vijay Kumar","Alejandro Ribeiro"],"url":"https://arxiv.org/abs/2609.28247v1","arxiv_id":"2609.28247v1","published":"2026-09-23T15:08:35Z"},{"title":"Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?","abstract":"Large language models (LLMs) have shown strong performance in creative text generation, yet their ability to produce culturally grounded and stylistically constrained literary forms remains underexplored. Prior work has focused largely on modern language varieties and poetry, while classical prose traditions such as maqama remain largely unstudied. The maqama is a classical literary genre characterized by rhymed pros","authors":["AbdulRahman A. Morsy","Aya Zirikly"],"url":"https://arxiv.org/abs/2609.28245v1","arxiv_id":"2609.28245v1","published":"2026-09-23T15:08:32Z"},{"title":"Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification","abstract":"Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, discriminative representations for whole slide image (WSI) analysis, enabling tasks such as slide-level classification under multiple instance learning (MIL). However, these representations may also encode non-biological signals associated with acquisit","authors":["Ilán Carretero","Pablo Meseguer","Rocío del Amor","Valery Naranjo"],"url":"https://arxiv.org/abs/2609.28231v1","arxiv_id":"2609.28231v1","published":"2026-09-23T14:55:43Z"},{"title":"From Agent Output to Authorized Transition","abstract":"Agentic engineering systems can edit repositories, run tools and tests, build firmware, synthesize schematics, and prepare deployable or manufacturable artifacts. The assurance problem is therefore shifting from whether an agent can produce an output to whether an engineering lifecycle is justified in acting on claims about that output. Current products and standards provide sandboxes, approvals, hooks, traces, polic","authors":["Christopher Koch"],"url":"https://arxiv.org/abs/2609.28216v1","arxiv_id":"2609.28216v1","published":"2026-09-23T14:50:20Z"},{"title":"PASTABench: Proactive Assessment of Sequential Trajectories for Agent Safety","abstract":"As Large Language Models (LLMs) evolve into autonomous agents that alter real-world states, ensuring operational safety across multi-step workflows has become a critical challenge. While recent work has moved beyond single-turn evaluation toward multi-turn paradigms, key limitations persist: step-level methods treat actions in isolation, missing how risks accumulate, while trajectory-level evaluations operate post-ho","authors":["Jiapeng Sun","Yujin Zhou","Han Zhu","Pengcheng Wen","Jiayi Zhou","Sirui Han"],"url":"https://arxiv.org/abs/2609.28197v1","arxiv_id":"2609.28197v1","published":"2026-09-23T14:34:45Z"},{"title":"Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination","abstract":"Coordinating large population of flexible grid-edge devices can alleviate the need for time-consuming and capital-intensive network upgrades, and AI-based control methods such as multi-agent reinforcement learning or imitation learning are promising in their real-time decision scalability. However, system operators still need an independent and rigorous way to decide whether a given AI system is safe enough for deplo","authors":["Yihong Zhou","Hanbin Yang","Thomas Morstyn"],"url":"https://arxiv.org/abs/2609.28182v1","arxiv_id":"2609.28182v1","published":"2026-09-23T14:24:46Z"},{"title":"\"We'll Fix It Later\": Education, AI, and the Deferral of Privacy in EdTech","abstract":"Educational technology (EdTech) platforms collect highly sensitive student data, including behavioral logs, disability records, and academic histories. However, privacy considerations are often postponed rather than treated as a foundational design requirement. We present a mixed-methods study combining 12 semi-structured interviews with EdTech professionals and a privacy policy audit of 48 platforms coded across fiv","authors":["Meghna Manoj Nair","Rachel Greenstadt"],"url":"https://arxiv.org/abs/2609.28137v1","arxiv_id":"2609.28137v1","published":"2026-09-23T13:59:37Z"},{"title":"Scaling Attention Head Analysis via Gradient-Based Attribution in Context-Aware Machine Translation","abstract":"In this paper, we introduce a gradient-based head attribution strategy where the Token-level Max-Margin loss is backpropagated to the attention maps. This framework enables a large-scale causal analysis of attention heads, making it suitable for LLMs. We evaluate our method on the task of disambiguation in Context-aware Machine Translation, where we analyze 50 phenomena across 4 models and 4 language directions. We e","authors":["Paweł Mąka","Yusuf Can Semerci","Jan Scholtes","Gerasimos Spanakis"],"url":"https://arxiv.org/abs/2609.28117v1","arxiv_id":"2609.28117v1","published":"2026-09-23T13:46:01Z"},{"title":"Field-of-View Extension in Dental Cone-Beam CT via Implicit Neural Representations and Diffusion Model-Based Refinement","abstract":"Dental cone-beam computed tomography (CBCT) systems often employ detector configurations that provide a truncated field of view (FOV) that only captures a small part of the patient's anatomy. In this work, we aim to reconstruct an extended FOV using projections of truncated FOV scans. To this end, we propose a three-stage framework that consists of (1) an implicit neural representation (INR) for estimating missing pa","authors":["Susanne Schaub","Florentin Bieder","Matheus L. Oliveira","Yulan Wang","Buyanbileg Sodnom-ish","Dorothea Dagassan-Berndt"],"url":"https://arxiv.org/abs/2609.28110v1","arxiv_id":"2609.28110v1","published":"2026-09-23T13:43:34Z"},{"title":"Distillation for Efficient Multitask Manipulation Policies via Conditional Flow Matching","abstract":"Advances in generative modeling have recently been extensively employed in robotics for policy learning. In particular, Conditional Flow Matching (CFM) trained with expert demonstrations has been shown to outperform existing methods on robot manipulation benchmarks. While prior work has mainly focused on single-task settings, we study the problem from a multi-task perspective, as training independent models for each ","authors":["Shreya Deshmukh","Imen Mahdi","Nick Heppert","Abhinav Valada"],"url":"https://arxiv.org/abs/2609.28107v1","arxiv_id":"2609.28107v1","published":"2026-09-23T13:38:23Z"}],"history":{"events":[{"year":2019,"text":"The British travel company Thomas Cook Group ceased operations with immediate effect, leaving around 600,000 tourists stranded around the world.","url":"https://en.wikipedia.org/wiki/Thomas_Cook_Group"},{"year":2016,"text":"Following a number of high-profile sexual assaults, major reforms were enacted to strengthen laws related to rape in Germany.","url":"https://en.wikipedia.org/wiki/Rape_in_Germany"},{"year":2010,"text":"Teresa Lewis became the first woman to be executed by the U.S. state of Virginia since 1912, and the first woman in the state to be executed via lethal injection.","url":"https://en.wikipedia.org/wiki/Teresa_Lewis"},{"year":2008,"text":"A gunman shot and killed ten students at the Seinäjoki University of Applied Sciences in Kauhajoki, Finland, before committing suicide.","url":"https://en.wikipedia.org/wiki/Kauhajoki_school_shooting"},{"year":2002,"text":"The first version of the web browser Firefox was released by the Mozilla Organization.","url":"https://en.wikipedia.org/wiki/Firefox"},{"year":1997,"text":"Irish rock band U2 performed in Sarajevo (pictured), the first major artist to hold a concert in the city since the end of the Bosnian War.","url":"https://en.wikipedia.org/wiki/U2"},{"year":1983,"text":"Flying from Pakistan, Gulf Air Flight 771 was bombed up by the Abu Nidal Organization while on approach over the United Arab Emirates (UAE), killing all 112 people on board.","url":"https://en.wikipedia.org/wiki/Gulf_Air_Flight_771"},{"year":1983,"text":"Flying from Pakistan, Gulf Air Flight 771 was blown up by the Abu Nidal Organization while on approach over the United Arab Emirates, killing all 112 people on board.","url":"https://en.wikipedia.org/wiki/Gulf_Air_Flight_771"},{"year":1952,"text":"U.S. vice-presidential candidate Richard Nixon delivered the Checkers speech, one of the first political uses of television to appeal directly to the populace.","url":"https://en.wikipedia.org/wiki/Richard_Nixon"},{"year":1920,"text":"The Louisiana hurricane dissipated over Kansas after forcing around 4,500 people to evacuate and causing $1.45 million in damages.","url":"https://en.wikipedia.org/wiki/1920_Louisiana_hurricane"},{"year":1913,"text":"The United Mine Workers of America began a strike against the Rockefeller-owned Colorado Fuel & Iron Company, sparking the Colorado Coalfield War.","url":"https://en.wikipedia.org/wiki/United_Mine_Workers_of_America"},{"year":1884,"text":"The French steamship Arctique ran aground on the northern coast of Cape Virgenes in Argentina; gold was discovered during the rescue effort, triggering the Tierra del Fuego Gold Rush.","url":"https://en.wikipedia.org/wiki/Cape_Virgenes"},{"year":1803,"text":"Maratha troops were defeated by forces of the British East India Company at the Battle of Assaye, one of the decisive battles of the Second Anglo-Maratha War.","url":"https://en.wikipedia.org/wiki/Maratha_Empire"},{"year":1780,"text":"American Revolutionary War: British officer John André was captured by Patriot forces, thereby revealing a plot by Continental Army general Benedict Arnold to hand over West Point, New York.","url":"https://en.wikipedia.org/wiki/American_Revolutionary_War"},{"year":1642,"text":"First English Civil War: The Battle of Powick Bridge, the first engagement between the primary field armies of the Royalists and the Parliamentarians, ended in a Royalist victory.","url":"https://en.wikipedia.org/wiki/First_English_Civil_War"},{"year":1122,"text":"Pope Callixtus II and Holy Roman emperor Henry V agreed the Concordat of Worms (pictured), ending the Investiture Controversy.","url":"https://en.wikipedia.org/wiki/Pope_Callixtus_II"}],"births":[{"year":2001,"text":"Lai Kuan-lin, Taiwanese film director","url":"https://en.wikipedia.org/wiki/Lai_Kuan-lin"},{"year":1999,"text":"Song Yu-qi, Chinese singer","url":"https://en.wikipedia.org/wiki/Yuqi"},{"year":1997,"text":"John Collins, American basketball player","url":"https://en.wikipedia.org/wiki/John_Collins_(basketball)"},{"year":1996,"text":"Napheesa Collier, American basketball player","url":"https://en.wikipedia.org/wiki/Napheesa_Collier"},{"year":1994,"text":"Lee Mi-joo, South Korean singer and entertainer","url":"https://en.wikipedia.org/wiki/Mijoo"},{"year":1994,"text":"Bai Lu, Chinese Actress","url":"https://en.wikipedia.org/wiki/Bai_Lu_(actress)"},{"year":1993,"text":"Petteri Lindbohm, Finnish ice hockey player","url":"https://en.wikipedia.org/wiki/Petteri_Lindbohm"},{"year":1992,"text":"Angel Garza, Mexican wrestler","url":"https://en.wikipedia.org/wiki/Angel_Garza"}],"deaths":[{"year":2021,"text":"John Elliott, Australian businessman (born 1941)","url":"https://en.wikipedia.org/wiki/John_Elliott_(businessman)"},{"year":2021,"text":"Nino Vaccarella, Italian race car driver (born 1933)","url":"https://en.wikipedia.org/wiki/Nino_Vaccarella"},{"year":2020,"text":"Juliette Gréco, French singer and actress (born 1927)","url":"https://en.wikipedia.org/wiki/Juliette_Gr%C3%A9co"},{"year":2018,"text":"Charles Kuen Kao, Hong Kong-American-British electrical engineer and physicist (born 1933)","url":"https://en.wikipedia.org/wiki/Charles_K._Kao"},{"year":2018,"text":"Gary Kurtz, American film producer (born 1940)","url":"https://en.wikipedia.org/wiki/Gary_Kurtz"},{"year":2018,"text":"Jane Fortune, American author, journalist, and philanthropist (born 1942)","url":"https://en.wikipedia.org/wiki/Jane_Fortune"},{"year":2015,"text":"Dayananda Saraswati, Indian monk and philosopher (born 1930)","url":"https://en.wikipedia.org/wiki/Dayananda_Saraswati_(Arsha_Vidya)"},{"year":2014,"text":"A. W. Davis, American basketball player and coach (born 1943)","url":"https://en.wikipedia.org/wiki/A._W._Davis"}]},"census":{"panel_version":2,"probed":14770,"error_rate":17.44,"degraded":false,"rates":{"head":11.6,"tail":7.3,"ai_native":74.55}},"sources":[{"id":"attention","name":"Wikipedia most-read","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"},{"id":"frontier","name":"Hacker News","url":"https://news.ycombinator.com","license":"Public API — titles and links, credited","attribution":"Hacker News / Y Combinator"},{"id":"research","name":"arXiv cs.AI","url":"https://arxiv.org","license":"Open metadata, per arXiv API terms","attribution":"arXiv.org"},{"id":"history","name":"Wikipedia On this day","url":"https://api.wikimedia.org","license":"CC BY-SA 4.0","attribution":"Wikipedia contributors"}],"license":"Records are CC BY-SA 4.0, inheriting from Wikipedia. Every item links to its source."}