{"date":"2026-09-08","schema_version":1,"captured_at":"2026-09-09T09:14:21.904Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":18},"attention":[{"title":"Elizabeth Holmes","views":642791,"rank":4,"extract":"Elizabeth Anne Holmes is an American businesswoman convicted of fraud in connection with her health technology company Theranos. 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She then attempted suicide by cutting her wrists and n","url":"https://en.wikipedia.org/wiki/Killing_of_the_Clancy_children","thumb":"https://upload.wikimedia.org/wikipedia/en/a/a4/Clancy_children.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Labor Day","views":229681,"rank":6,"extract":"Labor Day is a federal holiday in the United States celebrated on the first Monday of September to honor and recognize the American labor movement and the works and contributions of laborers to the development and achievements in the United States.","url":"https://en.wikipedia.org/wiki/Labor_Day","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/2/25/First_United_States_Labor_Day_Parade%2C_September_5%2C_1882_in_New_York_City.jpg/330px-First_United_States_Labor_Day_Parade%2C_September_5%2C_1882_in_New_York_City.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"You Can See Everything","views":223425,"rank":7,"extract":"You Can See Everything is a 2026 American documentary film directed by Nathan Fielder and Lance Oppenheim. 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He is best known as the rhythm guitarist of the metalcore band Every Time I Die.","url":"https://en.wikipedia.org/wiki/Andy_Williams_(guitarist)","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/b/be/EVERY_TIME_I_DIE-7.jpg/330px-EVERY_TIME_I_DIE-7.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Lance Oppenheim","views":87514,"rank":27,"extract":"Lance Oppenheim is an American filmmaker, documentarian, and producer. His work blends nonfiction storytelling with heightened, cinematic formalism. Oppenheim has received critical acclaim for his films Some Kind of Heaven (2020) and Spermworld (2024). He is a","url":"https://en.wikipedia.org/wiki/Lance_Oppenheim","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/f/f9/2020_Screening_SomeKindofHeaven_%28cropped%29.jpg/330px-2020_Screening_SomeKindofHeaven_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Elena Rybakina","views":87446,"rank":28,"extract":"Elena Andreyevna Rybakina is a Russian-born Kazakhstani professional tennis player. She is currently ranked world No. 2 in women's singles by the Women's Tennis Association (WTA). Rybakina has won 13 WTA Tour-level singles titles, including two majors at the 2","url":"https://en.wikipedia.org/wiki/Elena_Rybakina","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/d/d3/Elena_Rybakina_%282025_DC_Open%29_11_%28cropped%29.jpg/330px-Elena_Rybakina_%282025_DC_Open%29_11_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"G. D. Naidu","views":84647,"rank":29,"extract":"Gopalaswamy Doraiswamy Naidu was an Indian innovator, inventor, industrialist, and educator. He redesigned and transformed imported technologies into practical and affordable innovations for India, and is widely regarded as a versatile genius. His contribution","url":"https://en.wikipedia.org/wiki/G._D._Naidu","thumb":"https://upload.wikimedia.org/wikipedia/en/a/a0/Gopalswamy_D._Naidu.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Neatsville, Kentucky","views":84307,"rank":30,"extract":"Neatsville is an unincorporated community in Adair County, in the U.S. state of Kentucky. It is located at the junction of Kentucky Route 206 and Kentucky Route 76. Its elevation is 705 feet (215 m). For unknown reasons, the town's name was spelled as Neetsvil","url":"https://en.wikipedia.org/wiki/Neatsville%2C_Kentucky","thumb":null},{"title":".xyz","views":81251,"rank":31,"extract":".xyz is a top-level domain name that was proposed in ICANN's new generic top-level domain (gTLD) Program for consisting of the last three letters of the Latin-script alphabet. XYZ.com and CentralNic are the registries for the domain, which was created by entre","url":"https://en.wikipedia.org/wiki/.xyz","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/f/fc/.xyz_logo.svg/330px-.xyz_logo.svg.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Theranos","views":79113,"rank":32,"extract":"Theranos Inc. was an American privately held corporation that was touted as a breakthrough health technology company. Founded in 2003 by then 19-year-old Elizabeth Holmes, Theranos raised more than US$700 million from venture capitalists and private investors,","url":"https://en.wikipedia.org/wiki/Theranos","thumb":null},{"title":"Zheng Qinwen","views":77398,"rank":33,"extract":"Zheng Qinwen is a Chinese professional tennis player. She has been ranked world No. 4 by the WTA, achieved in June 2025, and is only the second Chinese player to reach the top 5 in women's singles after Li Na. Zheng has won five career singles titles, includin","url":"https://en.wikipedia.org/wiki/Zheng_Qinwen","thumb":"https://thumb.wikimedia.org/wikipedia/commons/thumb/0/0d/Zheng_Qinwen_%282024_US_Open%29_01_%28cropped%29.jpg/330px-Zheng_Qinwen_%282024_US_Open%29_01_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Buddy (2026 film)","views":77198,"rank":34,"extract":"Buddy is a 2026 American postmodernist supernatural comedy horror film directed by Casper Kelly and written by Kelly and Jamie King. The film stars Cristin Milioti, Delaney Quinn, Patton Oswalt, Clint Howard, Michael Shannon, Topher Grace, and Keegan-Michael K","url":"https://en.wikipedia.org/wiki/Buddy_(2026_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/4/4d/Buddy_%282026_film%29_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"}],"frontier":[{"title":"Navier-Stokes – Tristan Buckmaster [pdf]","points":1637,"comments":691,"url":"https://cims.nyu.edu/~tristanb/statement.pdf","discussion":"https://news.ycombinator.com/item?id=49605915"},{"title":"On the Navier–Stokes Millennium Prize Problem","points":1255,"comments":998,"url":"https://openai.com/index/navier-stokes-solution/","discussion":"https://news.ycombinator.com/item?id=49613262"},{"title":"Mistral raises €3B","points":822,"comments":582,"url":"https://mistral.ai/news/mistral-makes-sovereign-open-weight-ai-to-frontier/","discussion":"https://news.ycombinator.com/item?id=49605767"},{"title":"LibreOffice breaks download records after declaring it has no AI features","points":678,"comments":226,"url":"https://manualdousuario.net/en/libreoffice-download-record-no-ai/","discussion":"https://news.ycombinator.com/item?id=49610538"},{"title":"Jellyfin 12.0","points":597,"comments":338,"url":"https://jellyfin.org/posts/jellyfin-release-12.0/","discussion":"https://news.ycombinator.com/item?id=49604861"},{"title":"AlphaGenome Atlas: a high-resolution map of human DNA","points":556,"comments":119,"url":"https://blog.google/innovation-and-ai/models-and-research/google-deepmind/alphagenome-atlas/","discussion":"https://news.ycombinator.com/item?id=49611251"},{"title":"There's a new \"Google Jail\" for independent wikis","points":549,"comments":223,"url":"https://weirdgloop.org/blog/google-jail","discussion":"https://news.ycombinator.com/item?id=49604870"},{"title":"LG TVs caught spying even when offline or on standby","points":533,"comments":312,"url":"https://www.theverge.com/tech/991190/lg-tv-spying-standby-recording-wi-fi-scanning-gamers-nexus","discussion":"https://news.ycombinator.com/item?id=49612329"},{"title":"I've factored the RSA keys of a Certificate Authority from the 90s","points":496,"comments":126,"url":"https://mcpherrin.ca/2026/09/07/rsa.html","discussion":"https://news.ycombinator.com/item?id=49604637"},{"title":"Muse – Meta’s personal AI agent","points":495,"comments":533,"url":"https://ai.meta.com/muse/","discussion":"https://news.ycombinator.com/item?id=49615537"},{"title":"I-have-ADHD: A skill to stop coding agents from burying the answer","points":428,"comments":304,"url":"https://github.com/ayghri/i-have-adhd","discussion":"https://news.ycombinator.com/item?id=49610631"},{"title":"DaVinci Resolve 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being non-renewably mined by AI","points":352,"comments":315,"url":"https://mathstodon.xyz/@tao/117237320796901560","discussion":"https://news.ycombinator.com/item?id=49616968"},{"title":"DHS 'Predictive Policing' Unit Is Analyzing Americans' Financial Habits","points":341,"comments":249,"url":"https://www.404media.co/a-secretive-dhs-predictive-policing-unit-is-analyzing-americans-financial-habits-and-pulling-them-over/","discussion":"https://news.ycombinator.com/item?id=49610988"},{"title":"ChatGPT Images 2.5","points":338,"comments":408,"url":"https://openai.com/index/introducing-chatgpt-images-2-5/","discussion":"https://news.ycombinator.com/item?id=49614720"},{"title":"How to build a printer","points":314,"comments":63,"url":"https://nishantjosh.dev/blogs/how-to-build-a-fking-printer/","discussion":"https://news.ycombinator.com/item?id=49617255"},{"title":"We have a year to fix security everywhere","points":301,"comments":345,"url":"https://jyn.dev/a-year-to-fix-security/","discussion":"https://news.ycombinator.com/item?id=49605691"},{"title":"Kimi K3 (2.8T) at 1 token/s on a MacBook Pro, streamed from four SSDs","points":257,"comments":131,"url":"https://github.com/argonautlabsai/deltafin","discussion":"https://news.ycombinator.com/item?id=49616257"},{"title":"Benchmarking Qwen3.8 27B quantizations: 4-bit holds up, 1-bit collapses","points":246,"comments":121,"url":"https://quesma.com/blog/qwen38-27b-quantizations-benchmarked/","discussion":"https://news.ycombinator.com/item?id=49611128"},{"title":"The two Christian saints who are the Buddha","points":238,"comments":176,"url":"https://signoregalilei.com/2026/08/30/the-two-christian-saints-who-are-secretly-the-buddha/","discussion":"https://news.ycombinator.com/item?id=49611051"},{"title":"Antiquated HTML Snippets and Artefacts","points":233,"comments":83,"url":"https://vale.rocks/posts/html-relics","discussion":"https://news.ycombinator.com/item?id=49607991"},{"title":"Getting your hands dirty is good for you","points":230,"comments":191,"url":"https://www.bbc.com/future/article/20260904-how-getting-your-hands-dirty-boosts-your-health-within-weeks","discussion":"https://news.ycombinator.com/item?id=49608023"}],"research":[{"title":"TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model","abstract":"We study the problem of navigating cluttered indoor environments with a humanoid robot. Unlike conventional methods that model navigation as a 2D path planning problem, humanoid traversal in cluttered environments requires continuous geometry-aware whole-body adaptation, including coordinated arm placement, torso adjustment, and gait modulation for collision-free movement through complex 3D spaces. We introduce TANGO","authors":["Anqi Li","Yuxin Chen","Zhaobo Li","Zhuo Cao","Junli Ren","Masayoshi Tomizuka"],"url":"https://arxiv.org/abs/2609.09158v1","arxiv_id":"2609.09158v1","published":"2026-09-08T17:59:55Z"},{"title":"Procedural Graphs: Self-Evolving Execution Structures for LLM Agents","abstract":"Large language models are increasingly deployed as agents that plan over long horizons and act through external tools. Most agents select actions through unconstrained generation over an accumulating history, leaving implicit the procedural knowledge of what to do, in what order, and under which conditions. As trajectories lengthen, agents can lose track of their objectives, invoke tools out of order, and repeat unpr","authors":["Yuxing Lu","Yicheng Chen","Shanchan Wu","Sercan Ö. Arık"],"url":"https://arxiv.org/abs/2609.09153v1","arxiv_id":"2609.09153v1","published":"2026-09-08T17:59:41Z"},{"title":"NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting","abstract":"The digitization of healthcare has generated vast, longitudinal, and multimodal patient records over a lifetime, yet fully exploiting these data to represent and predict patient state trajectories remains a critical challenge. Current AI models often struggle to capture the complex, irregular temporal dynamics and inherent stochasticity of real-world multimodal patient data. Existing AI approaches for modeling longit","authors":["Tobias Susetzky","Raphael Rehms","Dmitrii Seletkov","Özgün Turgut","Michelle Espranita Liman","Lisa Steinhelfer"],"url":"https://arxiv.org/abs/2609.09140v1","arxiv_id":"2609.09140v1","published":"2026-09-08T17:56:13Z"},{"title":"A Data-Driven Framework for Identifying and Prioritizing RPA Opportunities in Healthcare Processes","abstract":"Robotic Process Automation (RPA) is widely used to reduce administrative burden in United States hospitals, yet an estimated 30-50% of RPA initiatives underperform because processes are selected informally, without a repeatable method to catalogue candidates, prioritize them, match each to an automation tier -- a Python bot, an open-source orchestrator such as n8n, or an enterprise platform such as UiPath -- and fore","authors":["Maria Alejandra Gomez","Juan Manuel Castillo"],"url":"https://arxiv.org/abs/2609.09137v1","arxiv_id":"2609.09137v1","published":"2026-09-08T17:55:28Z"},{"title":"Co-Evolving Harnesses and Models: On-Policy Correction Helps Weaker Models Catch Up Where Imitation Fails","abstract":"Agent harnesses (the system prompt, tool set, execution hooks, and context-management scaffolding around a model) are a critical determinant of agentic task success. Automated harness evolution can enable smaller models to perform well on domain-specific tasks at a fraction of frontier-model cost. Since both the harness and model weights shape behavior, we ask how harness evolution and lightweight fine-tuning should ","authors":["Zhou Yu","Bin Bi","Shiva Kumar Pentyala","Shubham Mehrotra","Sougata Chaudhuri","Shilpa Bhagavath"],"url":"https://arxiv.org/abs/2609.09134v1","arxiv_id":"2609.09134v1","published":"2026-09-08T17:53:49Z"},{"title":"ExecCritic: Learn to Test, Test to Improve for Coding Agents","abstract":"Execution feedback can guide coding agents toward correct repository repairs, but only when the tests capture the behavior requested by the issue. Agent-generated tests can encode incomplete or incorrect behavioral targets; when the same trajectory writes both the patch and the test, their errors can agree and create false confidence. We introduce ExecCritic, combining a test--verify--revise scaffold with a role-spec","authors":["Leitian Tao","Baolin Peng","Haorui Wang","Hang Wang","Hao Cheng","Wenlin Yao"],"url":"https://arxiv.org/abs/2609.09133v1","arxiv_id":"2609.09133v1","published":"2026-09-08T17:53:37Z"},{"title":"A Generalization of Amari's Bayesian Duality","abstract":"Amari's contributions to information geometry and machine learning are well known. Here, we revisit Amari's work on Bayesian duality which has not received as much attention. We connect Amari's Bayesian duality to a convex duality of Bayes' rule. Using this connection, we present a generalization of Amari's Bayesian duality and discuss its relevance for modern artificial intelligence.","authors":["Mohammad Emtiyaz Khan","Thomas Möllenhoff"],"url":"https://arxiv.org/abs/2609.09126v1","arxiv_id":"2609.09126v1","published":"2026-09-08T17:51:08Z"},{"title":"Canonical Color as a Lens into Concept Decodability in Vision Encoders and VLMs","abstract":"Visual encoders construct a representation of the image input for Vision-Language models. How much conceptual, as opposed to immediately visible, information does this representation contain? We use canonical color as a controlled test case to ask whether vision encoders make canonical-color information linearly accessible, even when color is removed from the input image. We construct a dataset of objects with canoni","authors":["Xiaofu Chen","Stella Frank","Yova Kementchedjhieva"],"url":"https://arxiv.org/abs/2609.09124v1","arxiv_id":"2609.09124v1","published":"2026-09-08T17:50:09Z"},{"title":"DeCAL: Towards Physically-Grounded Dexterous Vision-Language-Action Models via Contact-Aware Latent Co-Imagination","abstract":"Dexterous manipulation involves contact-rich and fine-grained interactions with the physical world, posing significant challenges for existing vision-language-action (VLA) models due to severe visual occlusions and complex contact dynamics. While recent works have incorporated tactile sensing into robotic manipulation, most approaches still rely on homogeneous multimodal fusion, lacking adaptive tactile integration a","authors":["Yankai Fu","Ning Chen","Junkai Zhao","Heng Zhang","Guocai Yao","Pengwei Wang"],"url":"https://arxiv.org/abs/2609.09119v1","arxiv_id":"2609.09119v1","published":"2026-09-08T17:47:43Z"},{"title":"MeClear: Cooperative Game-Theoretic Attribution and Risk-Aware Memory Clearance for Long-Horizon LLM Agents","abstract":"Long horizon Large Language Model (LLM) agents rely on external memory systems to preserve user preferences and task knowledge across extended interactions. Conventional retrieval mechanisms optimize semantic compatibility rather than downstream utility, frequently introducing outdated, misleading, or conflicting evidence into the active context. We present MeClear, a task conditioned memory clearance framework that ","authors":["Boyu Yang","Jiazheng Sun","Zilong Lu","Zhi Qiu","Xin Peng","Jun Zheng"],"url":"https://arxiv.org/abs/2609.09115v1","arxiv_id":"2609.09115v1","published":"2026-09-08T17:46:00Z"},{"title":"SAEScientist-Bench: Can AI Agents Conduct Autonomous SAE Interpretability Research?","abstract":"While research on recursive self-improvement (RSI) has predominantly automated model training pipelines, reliable autonomous development demands a missing pillar: post-hoc monitoring and auditing to understand what models learn and ensure safe alignment. Mechanistic interpretability tools are essential to bridge this gap, among which Sparse Autoencoders (SAEs) serve as a cornerstone by isolating interpretable feature","authors":["Yuqiao Tan","Shizhu He","Jun Zhao","Kang Liu"],"url":"https://arxiv.org/abs/2609.09113v1","arxiv_id":"2609.09113v1","published":"2026-09-08T17:45:09Z"},{"title":"The Surprising Effectiveness of Approximate Value Iteration in Self-Play","abstract":"Combining search with function approximation has driven major advances in game-playing programs, making self-play algorithms more competitive than ever. Still, the computational overhead of the most popular methods, based on Monte Carlo Tree Search (MCTS), can be substantial. In this work, we investigate whether simpler methods remain competitive in non-trivial, moderately sized games such as Connect Four, Hex(7x7) a","authors":["Raphael Boige","Amine Boumaza","Bruno Scherrer"],"url":"https://arxiv.org/abs/2609.09094v1","arxiv_id":"2609.09094v1","published":"2026-09-08T17:37:19Z"},{"title":"Measuring LLM Sycophancy under Sustained Multi-Turn Pressure","abstract":"Large language models (LLMs) may abandon correct positions when users push back, exhibiting a failure mode known as sycophancy. Existing evaluations typically use short, pre-specified conversations and may therefore miss failures that emerge under sustained, adaptive disagreement. We introduce SPINE, a benchmark in which an LLM proxy plays a persistent but mistaken user and adaptively challenges a target model for up","authors":["Leyuan Tang","Kangda Wei","Tianyu Jiang","Ruihong Huang"],"url":"https://arxiv.org/abs/2609.09090v1","arxiv_id":"2609.09090v1","published":"2026-09-08T17:35:04Z"},{"title":"GoDeep: Annotation-Free Open-Vocabulary 3D Scene Understanding via Language-Space Lifting","abstract":"Open vocabulary 3D semantic segmentation methods typically lift CLIP features into 3D. This embeds points in a joint vision-language space known to behave like a bag-of-words on compositional tasks. Furthermore, even annotation free variants often require a large 3D training corpus and a dedicated 3D encoder per domain. Instead we use a vision-language model purely as a translator. It produces structured, entity-leve","authors":["Thodoris Betsas","Anastasios Doulamis","Andreas Georgopoulos"],"url":"https://arxiv.org/abs/2609.09082v1","arxiv_id":"2609.09082v1","published":"2026-09-08T17:31:51Z"},{"title":"Everything in Moderation: Per-Domain Coverage Optima and Alignment-Resistant Domain Gaps in Multi-Domain Mid-Training","abstract":"Mid-training, the stage between pre-training and alignment, is where a model's per-domain data composition is typically set by data availability rather than principled design. We ask what that decision buys, and whether a later alignment pass can undo it. In a controlled logical-reasoning setting (Qwen3-8B-Base, with a 4B replication; five semantically rule-disjoint KOR-Bench domains) we train 30 allocations spanning","authors":["Yunpeng Xu","Kun Zheng"],"url":"https://arxiv.org/abs/2609.09081v1","arxiv_id":"2609.09081v1","published":"2026-09-08T17:31:38Z"},{"title":"ThinkPrior: Zero-Rollout Difficulty Priors for Cold-Start Prompt Selection in RLVR","abstract":"In reinforcement learning with verifiable rewards (RLVR) trained with group relative policy optimization (GRPO), the KL-free reward-advantage term studied here depends on within-group reward variation. If all rollouts in a group are correct or all are wrong, their group-relative advantages are identically zero; these zero-advantage silent groups provide no reward-advantage gradient, yet uniform sampling spends 39% of","authors":["Tommy Sha","Skylar Zhai","Siqi Zhao"],"url":"https://arxiv.org/abs/2609.09075v1","arxiv_id":"2609.09075v1","published":"2026-09-08T17:30:12Z"},{"title":"Performance of Clinical AI System and Physicians and Frontier Language Models in primary care diagnostics","abstract":"Clinical AI evaluation should encompass diagnosis and management after adaptive information gathering. We compared Doctorina, eight physicians and four standalone frontier language models in 150 synthetic Polish-language primary-care consultations. Doctorina achieved 82.0% Top-1 concordance versus 57.0% for physicians (difference, 25.0 percentage points; 95% confidence interval, 17.7-32.7) and 97.3% versus 85.0% prim","authors":["Andy Nkansah","Hanna Plotnitskaya","Stanislau Salavei","Anna Kozlova","Piotr Gibas","Julian Milek"],"url":"https://arxiv.org/abs/2609.09070v1","arxiv_id":"2609.09070v1","published":"2026-09-08T17:25:47Z"},{"title":"Time-Varying Data as Sheaves: an Invitation to Narratives","abstract":"Modern science and engineering increasingly rely on time-varying data, yet the mathematical tools used to model temporal phenomena are often developed within separate disciplines, obscuring common principles and limiting the transfer of ideas across fields. This chapter presents the theory of narratives, an abstract framework for time-varying objects of any mathematical kind that supports both theoretical investigati","authors":["Wilmer Leal","Benjamin Merlin Bumpus","Jana K. Nickel","Johan García","James Fairbanks","Warren Dixon"],"url":"https://arxiv.org/abs/2609.09056v1","arxiv_id":"2609.09056v1","published":"2026-09-08T17:12:24Z"},{"title":"Training-Free Task Vectors for LLM Behavioral Control","abstract":"Task vectors enable post-training model editing by identifying semantically meaningful directions in weight space, typically computed as the difference between a fine-tuned model and its pretrained initialization. However, this reliance on fine-tuning makes discovering such directions costly and limits the practicality of post-training model editing. To address this limitation, we introduce Training-Free Task Vectors","authors":["Gabriel J. Perin","Lucas Boscaini","André Araujo","Nina S. T. Hirata"],"url":"https://arxiv.org/abs/2609.09054v1","arxiv_id":"2609.09054v1","published":"2026-09-08T17:10:28Z"},{"title":"The Audit Decides the Verdict: Instrument Effects Rival Demographic Bias in LLM Decision Audits","abstract":"Whether a language model looks demographically biased can depend on how the audit asks its question. A charitable-aid benchmark reports that the same models favor minority applicants when rating requests one at a time and penalize some when ranking side by side. We test whether that reversal generalizes to hiring, lending, and medical triage: 40,726 requests to five models, applications differing only in the applican","authors":["Siddharth Vohra","Manikandan Ravikiran"],"url":"https://arxiv.org/abs/2609.09048v1","arxiv_id":"2609.09048v1","published":"2026-09-08T17:08:53Z"},{"title":"Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning","abstract":"Chain-of-thought reasoning provides a structured computation between a model's input and final answer. Yet it is often evaluated through endpoint accuracy, which ignores the path taken to reach that answer. An emerging line of work addresses this limitation using entropy profiles, which track how uncertainty evolves over the reasoning process but do not reveal which competing hypotheses account for that uncertainty. ","authors":["Mar Gonzàlez I Català","Haitz Sáez de Ocáriz Borde","Davide Murari","Carola-Bibiane Schönlieb","Pietro Liò","George Montañez"],"url":"https://arxiv.org/abs/2609.09030v1","arxiv_id":"2609.09030v1","published":"2026-09-08T16:58:40Z"},{"title":"It Is Not My Code Anymore","abstract":"AI-assisted programming raises distinct questions about who produces code, who feels ownership of it, and who is responsible when it fails. This research note examines these distinctions through a hypothetical enrollment failure and a selective reading of the literature. Identifying the producer of a defective expression does not, by itself, determine the duties of reviewers, release decision-makers, or service opera","authors":["Augusto Camargo"],"url":"https://arxiv.org/abs/2609.09022v1","arxiv_id":"2609.09022v1","published":"2026-09-08T16:52:52Z"},{"title":"Let It Go or Learn to Self-Correct: Continuous Diffusion for Constrained Discrete Tasks","abstract":"Denoising Diffusion Probabilistic Models (DDPMs) generate samples by starting from noise and repeatedly denoising while keeping each update close to the current noisy state. This behavior is effective in many continuous domains, but its role is less clear for globally constrained discrete tasks, such as Sudoku, graph connectivity, Latin squares, and N-queens. In such settings, early discrete errors can be difficult t","authors":["Mariia Drozdova","Stéphane Liem Nguyen","François Fleuret"],"url":"https://arxiv.org/abs/2609.09009v1","arxiv_id":"2609.09009v1","published":"2026-09-08T16:45:52Z"},{"title":"Deposon: An Auditable, Conservation-Guaranteed, Game-Theoretically Tested Scattering Layer over LLM Reasoning Paths","abstract":"Multi-step LLM reasoning lacks a machine-recheckable ledger: discarded reasoning paths leave no auditable record. We propose the Deposon scattering layer, which binds each node of an LLM-generated concept-decomposition graph to a two-parameter Deposon state; paths undergo three-channel scattering -- transmission, reflection, irreversible dissipation -- obeying T+R+A=1 for arbitrary parameters, with a maximum per-path","authors":["Qihao Yuan"],"url":"https://arxiv.org/abs/2609.09001v1","arxiv_id":"2609.09001v1","published":"2026-09-08T16:40:31Z"},{"title":"Transformers as In-Context Samplers: From Closed-Form Diffusion to Estimation-Free Sampling","abstract":"A growing body of work establishes that large language models are not mere statistical memorizers, but are capable of in-context learning: performing inference at test time using only examples provided in the prompt, without any parameter updates. Prior theoretical work has shown that this capability extends to supervised learning tasks such as linear regression. We prove that in-context learning extends further to \\","authors":["Arman Adibi","Alireza Jafari","Mohammad Ghavamzadeh","Hadi Daneshmand"],"url":"https://arxiv.org/abs/2609.08981v1","arxiv_id":"2609.08981v1","published":"2026-09-08T16:25:11Z"}],"history":{"events":[{"year":2022,"text":"Queen Elizabeth II (pictured) died at Balmoral Castle in Scotland; her eldest son Charles III acceded to the throne as King of the United Kingdom and other Commonwealth realms.","url":"https://en.wikipedia.org/wiki/Elizabeth_II"},{"year":1995,"text":"Construction began on the Dhammakaya Cetiya, a giant stupa at the Wat Phra Dhammakaya, a Buddhist temple in Pathum Thani, Thailand.","url":"https://en.wikipedia.org/wiki/History_of_Wat_Phra_Dhammakaya"},{"year":1994,"text":"USAir Flight 427 crashed on approach to Pittsburgh International Airport, resulting in 132 deaths and the longest accident investigation in the history of the National Transportation Safety Board.","url":"https://en.wikipedia.org/wiki/USAir_Flight_427"},{"year":1991,"text":"At the Tailhook Association symposium in Las Vegas, U.S. Navy and Marine Corps aviators were alleged to have sexually assaulted 90 persons.","url":"https://en.wikipedia.org/wiki/Tailhook_Association"},{"year":1974,"text":"Watergate scandal: U.S. president Gerald Ford gave his recently resigned predecessor Richard Nixon a controversial full and unconditional pardon for any crimes he committed while in office.","url":"https://en.wikipedia.org/wiki/Watergate_scandal"},{"year":1974,"text":"Watergate scandal: U.S. president Gerald Ford gave his recently resigned predecessor Richard Nixon a controversial full and unconditional pardon for any crimes he committed while in office.","url":"https://en.wikipedia.org/wiki/Watergate_scandal"},{"year":1966,"text":"Queen Elizabeth II opened the Severn Bridge, suggesting that it marked the dawn of a new economic era for South Wales.","url":"https://en.wikipedia.org/wiki/Elizabeth_II"},{"year":1966,"text":"The science fiction show Star Trek made its American premiere with \"The Man Trap\", launching a media franchise that has since created a cult phenomenon and has influenced the design of many current technologies.","url":"https://en.wikipedia.org/wiki/Star_Trek%3A_The_Original_Series"},{"year":1966,"text":"Queen Elizabeth II opened the Severn Bridge (pictured), linking South Gloucestershire in England and Monmouthshire in Wales.","url":"https://en.wikipedia.org/wiki/Elizabeth_II"},{"year":1954,"text":"Eight nations signed a collective-defense treaty in Manila to create the Southeast Asia Treaty Organization (flag pictured), modelled on NATO.","url":"https://en.wikipedia.org/wiki/Collective_security"},{"year":1936,"text":"Opposed to António de Oliveira Salazar's support of the Nationalists in the Spanish Civil War, the crews of the Portuguese Navy ships NRP Afonso de Albuquerque and NRP Dão mutinied while anchored in the harbour of Lisbon.","url":"https://en.wikipedia.org/wiki/Ant%C3%B3nio_de_Oliveira_Salazar"},{"year":1935,"text":"Huey Long, a U.S. senator, was shot in Baton Rouge, Louisiana, dying two days later.","url":"https://en.wikipedia.org/wiki/Huey_Long"},{"year":1921,"text":"In Atlantic City, New Jersey, Margaret Gorman (pictured) was crowned the \"Golden Mermaid\", the forerunner to the Miss America pageant.","url":"https://en.wikipedia.org/wiki/Atlantic_City%2C_New_Jersey"},{"year":1907,"text":"Gertrude Stein meets her life partner and muse, Alice B. Toklas in Paris.","url":"https://en.wikipedia.org/wiki/Gertrude_Stein"},{"year":1900,"text":"The Great Galveston hurricane, the deadliest natural disaster in U.S. history, struck Galveston, Texas, with estimated winds of 135 miles per hour (215 km/h) at landfall, killing at least 6,000 people.","url":"https://en.wikipedia.org/wiki/1900_Galveston_hurricane"},{"year":1860,"text":"The paddle steamer Lady Elgin (pictured) was rammed by a schooner on Lake Michigan and sank, resulting in the loss of about 300 lives.","url":"https://en.wikipedia.org/wiki/Paddle_steamer"},{"year":1831,"text":"The Russian Empire suppressed the November Uprising in Poland with the capture of Warsaw after a two-day assault.","url":"https://en.wikipedia.org/wiki/Russian_Empire"},{"year":1831,"text":"William IV and Adelaide of Saxe-Meiningen were crowned King and Queen of the United Kingdom of Great Britain and Ireland.","url":"https://en.wikipedia.org/wiki/William_IV"}],"births":[{"year":2004,"text":"Lewis Hall, English footballer","url":"https://en.wikipedia.org/wiki/Lewis_Hall_(footballer)"},{"year":2003,"text":"Nicolas Cantu, American actor and internet personality","url":"https://en.wikipedia.org/wiki/Nicolas_Cantu"},{"year":2002,"text":"Gaten Matarazzo, American actor and singer","url":"https://en.wikipedia.org/wiki/Gaten_Matarazzo"},{"year":2001,"text":"Bill Mamadou, Singaporean footballer","url":"https://en.wikipedia.org/wiki/Bill_Mamadou"},{"year":2000,"text":"Zak Butters, Australian footballer","url":"https://en.wikipedia.org/wiki/Zak_Butters"},{"year":2000,"text":"Miles McBride, American basketball player","url":"https://en.wikipedia.org/wiki/Miles_McBride"},{"year":1999,"text":"Ellie Kildunne, English rugby player","url":"https://en.wikipedia.org/wiki/Ellie_Kildunne"},{"year":1999,"text":"Vivianne Härri, Swiss alpine skier","url":"https://en.wikipedia.org/wiki/Vivianne_H%C3%A4rri"}],"deaths":[{"year":2024,"text":"Mauricio Arriaza Chicas, Salvadoran police officer (born 1964)","url":"https://en.wikipedia.org/wiki/Mauricio_Arriaza_Chicas"},{"year":2024,"text":"Ed Kranepool, American baseball player (born 1944)","url":"https://en.wikipedia.org/wiki/Ed_Kranepool"},{"year":2024,"text":"Henny Moan, Norwegian actress (born 1936)","url":"https://en.wikipedia.org/wiki/Henny_Moan"},{"year":2024,"text":"Zoot Money, English musician (born 1942)","url":"https://en.wikipedia.org/wiki/Zoot_Money"},{"year":2024,"text":"Peter Renaday, American voice actor (born 1935)","url":"https://en.wikipedia.org/wiki/Peter_Renaday"},{"year":2024,"text":"Emi Shinohara, Japanese voice actress and singer (born 1963)","url":"https://en.wikipedia.org/wiki/Emi_Shinohara"},{"year":2022,"text":"Elizabeth II, Queen of the United Kingdom and other Commonwealth realms (born 1926)","url":"https://en.wikipedia.org/wiki/Elizabeth_II"},{"year":2022,"text":"Gwyneth Powell, English actress (born 1946)","url":"https://en.wikipedia.org/wiki/Gwyneth_Powell"}]},"census":{"panel_version":2,"probed":14770,"error_rate":27.02,"degraded":false,"rates":{"head":11.8,"tail":4.6,"ai_native":75.45}},"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."}