{"date":"2026-09-02","schema_version":1,"captured_at":"2026-09-03T09:13:58.367Z","complete":true,"sources_captured":["attention","frontier","research","history"],"counts":{"attention":30,"frontier":25,"research":25,"history":15},"attention":[{"title":"Killing of the Clancy children","views":428824,"rank":4,"extract":"On January 24, 2023, Lindsay Clancy strangled her three children—five-year-old Cora, three-year-old Dawson, and eight-month-old Callan—at the family's home in Duxbury, Massachusetts, United States. She then attempted suicide by cutting her wrists and neck and ","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":"Toxic (2026 film)","views":255041,"rank":5,"extract":"Toxic: A Fairy Tale for Grown-Ups is a 2026 Indian psychological thriller gangster film directed by Geetu Mohandas and jointly produced by Venkat K. Narayana and Yash through KVN Productions and Monster Mind Creations respectively. It stars Yash, Kiara Advani,","url":"https://en.wikipedia.org/wiki/Toxic_(2026_film)","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/0/0b/Toxic-_A_Fairy_Tale_for_Grown-Ups_poster.jpg/330px-Toxic-_A_Fairy_Tale_for_Grown-Ups_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Murder of Tupac Shakur","views":231824,"rank":6,"extract":"On September 7, 1996, at 11:15 p.m. (PDT), Tupac Shakur, a 25-year-old American rapper, was shot in a drive-by shooting in Paradise, Nevada. The shooting occurred when the car carrying Shakur was stopped at a red light at East Flamingo Road and Koval Lane. Sha","url":"https://en.wikipedia.org/wiki/Murder_of_Tupac_Shakur","thumb":"https://upload.wikimedia.org/wikipedia/en/thumb/7/7a/2Pac_-_Sept._6%2C_1996.jpg/330px-2Pac_-_Sept._6%2C_1996.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":".xyz","views":196567,"rank":7,"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://upload.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":"Dolly Parton","views":177111,"rank":8,"extract":"Dolly Rebecca Parton Dean was an American singer-songwriter, actress and businesswoman. Dubbed the \"Queen of Country\", Parton was one of the most successful country music performers in history. She was also known for her cultural influence and philanthropy, pa","url":"https://en.wikipedia.org/wiki/Dolly_Parton","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/8/8c/Young-Dolly-Parton_%28higher_quality_scan%29_%28cropped%29.jpg/330px-Young-Dolly-Parton_%28higher_quality_scan%29_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Tupac Shakur","views":147061,"rank":9,"extract":"Tupac Amaru Shakur, also known by his stage names 2Pac and Makaveli, was an American rapper and actor. He was one of the most influential musical artists of the 20th century, and a prominent political activist for Black America. He is among the best-selling mu","url":"https://en.wikipedia.org/wiki/Tupac_Shakur","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/d4/2pac_edit_cropped_further.jpg/330px-2pac_edit_cropped_further.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Deaths in 2026","views":147009,"rank":10,"extract":"The following notable deaths occurred in 2026. Names are reported under the date of death, in alphabetical order. A typical entry reports information in the following sequence:Name, age, country of citizenship at birth, subsequent nationality, what subject was","url":"https://en.wikipedia.org/wiki/Deaths_in_2026","thumb":null},{"title":"Aimee Mann","views":135481,"rank":11,"extract":"Aimee Elizabeth Mann is an American singer-songwriter. She is noted for her sardonic and literate lyrics about dark subjects, often describing underdog characters. She has released ten albums as a solo artist.","url":"https://en.wikipedia.org/wiki/Aimee_Mann","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/3/34/Music_Artist_Aimee_Mann_performs_during_the_Global_Music_Diplomacy_Initiative_Launch_%2853220201471%29_%28cropped%29.jpg/330px-Music_Artist_Aimee_Mann_performs_during_the_Global_Music_Diplomacy_Initiative_Launch_%2853220201471%29_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"John Ternus","views":132524,"rank":12,"extract":"John Patrick Ternus is an American engineer and business executive who has been the chief executive officer (CEO) of Apple since September 1, 2026. He has also served on the company's board of directors since that date. Ternus joined Apple's product design tea","url":"https://en.wikipedia.org/wiki/John_Ternus","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/John_Ternus_at_the_Apple_50th_Anniversary_Kickoff_%28cropped%29.jpg/330px-John_Ternus_at_the_Apple_50th_Anniversary_Kickoff_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Hanuman Ansh","views":104930,"rank":13,"extract":"Hanuman Ansh is a 2026 Indian Hindi-language devotional drama film written, directed and produced by Dr. Vishal Chaturvedi under his banner Swambhu Media Network and is based on his book Divine Detour: That Changed My Life, which chronicles the life of Neem Ka","url":"https://en.wikipedia.org/wiki/Hanuman_Ansh","thumb":"https://upload.wikimedia.org/wikipedia/en/0/0e/Official_poster_for_the_Hanuman_Ansh_%282026%29_film.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Spider-Man: Brand New Day","views":102473,"rank":14,"extract":"Spider-Man: Brand New Day is a 2026 American superhero film based on the Marvel Comics character Spider-Man. 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It is based on the novel of the same name by Alex North and stars Robert De Niro, Michelle Monaghan, and Adam Scott.","url":"https://en.wikipedia.org/wiki/The_Whisper_Man","thumb":"https://upload.wikimedia.org/wikipedia/en/5/54/The_Whisper_Man_poster.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail_unscaled"},{"title":"Orlando Anderson","views":95426,"rank":16,"extract":"Orlando Tive \"Baby Lane\" Anderson was an American gang member and suspected murderer. Anderson had alleged affiliations to the California-based gang known as the South Side Compton Crips. 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Knight was a central figure in gangsta rap's commercial success in the 1990s. This feat is attributed to the record label's first tw","url":"https://en.wikipedia.org/wiki/Suge_Knight","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/c/c0/Suge_Knight_in_2007_%286904212374%29.jpg/330px-Suge_Knight_in_2007_%286904212374%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Neem Karoli Baba","views":66590,"rank":29,"extract":"Neem Karoli Baba also known as Neeb Karori Baba and by his followers as Maharaj-ji, was a Hindu guru and devotee of the Hindu deity Hanuman. He was born \"Laksman Narayan Sharma\" around c. 1900 and died on 11 September 1973.","url":"https://en.wikipedia.org/wiki/Neem_Karoli_Baba","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/6/66/Neemkaroli_14.jpg/330px-Neemkaroli_14.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Tim Curry","views":64955,"rank":30,"extract":"Timothy James Curry was an English actor and singer who amassed more than 240 credits on screen and stage in a career which spanned nearly 60 years. Curry made his acting debut in the West End production of Hair (1968–1969) and gained wide recognition for port","url":"https://en.wikipedia.org/wiki/Tim_Curry","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/a/a8/Tim_Curry_%281978_A%26M_Records_publicity_photo%29_%28Cropped%29.jpg/330px-Tim_Curry_%281978_A%26M_Records_publicity_photo%29_%28Cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"2026 Nepal floods","views":64752,"rank":31,"extract":"On the morning of 26 August 2026, a series of flash floods and debris flows destroyed the Gyirong checkpoint on the China–Nepal border and struck dozens of settlements along a 72 km (45 mi) stretch of the Trishuli River in Nepal.","url":"https://en.wikipedia.org/wiki/2026_Nepal_floods","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/Mudslide_at_Gyirong_Port_2_%28screenshot%29.png/330px-Mudslide_at_Gyirong_Port_2_%28screenshot%29.png?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Haakon VIII","views":63192,"rank":32,"extract":"Haakon VIII is King of Norway, reigning since the death of his father, Harald V, on 28 August 2026.","url":"https://en.wikipedia.org/wiki/Haakon_VIII","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/f/fd/Haakon_in_2025_%28cropped%29.jpg/330px-Haakon_in_2025_%28cropped%29.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"},{"title":"Limonene","views":61821,"rank":34,"extract":"Limonene is a slightly yellow-green liquid aliphatic hydrocarbon classified as a cyclic monoterpene, and is the major component in the fragrance and essential oil of citrus fruit peels, taking its name from Italian limone (\"lemon\").","url":"https://en.wikipedia.org/wiki/Limonene","thumb":"https://upload.wikimedia.org/wikipedia/commons/thumb/c/cb/Limonene.jpg/330px-Limonene.jpg?utm_source=en.wikipedia.org&utm_campaign=api&utm_content=thumbnail"}],"frontier":[{"title":"Gemini 3.8 Flash and 3.8 Flash Cyber","points":1002,"comments":567,"url":"https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/","discussion":"https://news.ycombinator.com/item?id=49537553"},{"title":"A note on subscription prices from LWN","points":702,"comments":143,"url":"https://lwn.net/Articles/1090585/","discussion":"https://news.ycombinator.com/item?id=49535752"},{"title":"Muse Spark 1.3","points":560,"comments":379,"url":"https://developer.meta.com/ai/models/muse-spark/","discussion":"https://news.ycombinator.com/item?id=49541256"},{"title":"Can I opt out of my input or output data being used for training?","points":438,"comments":194,"url":"https://help.mistral.ai/en/articles/455207-can-i-opt-out-of-my-input-or-output-data-being-used-for-training","discussion":"https://news.ycombinator.com/item?id=49535284"},{"title":"Three sites made 215,128 “best software” pages for AI. Perplexity cites them","points":406,"comments":196,"url":"https://trellner.com/reports/manufactured-sources-behind-ai-recommendations/","discussion":"https://news.ycombinator.com/item?id=49536375"},{"title":"Google avoids a breakup of its ad tech business","points":369,"comments":276,"url":"https://www.nytimes.com/2026/09/02/technology/google-ad-tech-remedies.html","discussion":"https://news.ycombinator.com/item?id=49537131"},{"title":"Commodore 64 released September 1, 1982","points":341,"comments":177,"url":"https://dfarq.homeip.net/commodore-64-released-september-1-1982/","discussion":"https://news.ycombinator.com/item?id=49533497"},{"title":"True Rate of Unemployment","points":304,"comments":341,"url":"https://www.lisep.org/tru","discussion":"https://news.ycombinator.com/item?id=49530989"},{"title":"Biggest dark matter detector spots a single weird particle","points":289,"comments":99,"url":"https://www.science.org/content/article/world-s-biggest-dark-matter-detector-spots-single-weird-particle","discussion":"https://news.ycombinator.com/item?id=49536079"},{"title":"The Emergent Symbolic Structure of Artificial Neural Networks","points":287,"comments":105,"url":"https://arxiv.org/abs/2608.29530","discussion":"https://news.ycombinator.com/item?id=49531651"},{"title":"Aging brains blend memories together instead of just forgetting them","points":273,"comments":117,"url":"https://studyfinds.com/aging-brains-blend-memories-together-instead-of-forgetting-them-study-finds/","discussion":"https://news.ycombinator.com/item?id=49535548"},{"title":"Exit the Cave","points":254,"comments":92,"url":"https://turtlespace.blog/p/exit-the-cave","discussion":"https://news.ycombinator.com/item?id=49536606"},{"title":"I wanna live an NPC life","points":252,"comments":214,"url":"https://signalundefied.bearblog.dev/i-wanna-live-an-npc-life/","discussion":"https://news.ycombinator.com/item?id=49541519"},{"title":"Fable 5.1 World Modeling","points":238,"comments":70,"url":"https://github.com/PhiloLabs/fable51-worlds","discussion":"https://news.ycombinator.com/item?id=49541458"},{"title":"Dutch central bank moves share of gold from U.S., Canada to London","points":231,"comments":231,"url":"https://nltimes.nl/2026/09/02/dutch-central-bank-moves-share-gold-us-canada-london-cites-instability","discussion":"https://news.ycombinator.com/item?id=49535526"},{"title":"I Don't Have a Smartphone","points":223,"comments":212,"url":"https://ploum.net/2026-09-02-i_dont_have_a_smartphone.html","discussion":"https://news.ycombinator.com/item?id=49539872"},{"title":"Paint.net 5.2 alpha now runs on Linux","points":193,"comments":148,"url":"https://forums.paint.net/topic/134562-paintnet-52-alpha-build-9739/","discussion":"https://news.ycombinator.com/item?id=49539389"},{"title":"GrapheneOS says Pixel 11 has MTE support after all","points":184,"comments":149,"url":"https://grapheneos.social/@GrapheneOS/117194007157499435","discussion":"https://news.ycombinator.com/item?id=49536384"},{"title":"Quasar 438B: Europe's Leading AI Model","points":173,"comments":111,"url":"https://multiversecomputing.com/resources/introducing-quasar-438b-europe-s-leading-ai-model","discussion":"https://news.ycombinator.com/item?id=49534132"},{"title":"Mamdani Bans AI in NYC Schools","points":172,"comments":137,"url":"https://www.nytimes.com/2026/09/01/nyregion/ai-ban-schools-nyc.html","discussion":"https://news.ycombinator.com/item?id=49542443"},{"title":"Six curl CVEs after OpenAI and Anthropic came back with zero","points":167,"comments":55,"url":"https://aisle.com/blog/aisle-discovered-six-curl-cves-after-openai-and-anthropic-found-zero","discussion":"https://news.ycombinator.com/item?id=49536114"},{"title":"Check if a file was made with Claude","points":162,"comments":123,"url":"https://claude.com/check-content","discussion":"https://news.ycombinator.com/item?id=49535201"},{"title":"Poisson Disk Sampling","points":158,"comments":19,"url":"https://stripeacross.com/posts/poisson-disk-sampling/","discussion":"https://news.ycombinator.com/item?id=49536177"},{"title":"Qantas Airbus A380 engine failure in 2010 (2023)","points":128,"comments":80,"url":"https://admiralcloudberg.medium.com/a-matter-of-millimeters-the-story-of-qantas-flight-32-bdaa62dc98e7","discussion":"https://news.ycombinator.com/item?id=49540565"},{"title":"A third of Perplexity's citations don't contain the number they're cited for","points":124,"comments":47,"url":"https://hausresearch.com/reports/perplexity-citation-audit/","discussion":"https://news.ycombinator.com/item?id=49536201"}],"research":[{"title":"Discriminative World Models for Web Agents","abstract":"Recent web agents use world models for test-time action selection by sampling candidate actions, predicting the resulting web states, and ranking them with a ranker model or a Process Reward Model (PRM). These world models are typically trained via supervised next-state prediction to generate fixed representations like HTML or AXTree snapshots. However, this objective is misaligned with the downstream ranker, which r","authors":["Kelvin Li","Dhruv Pendharkar","Anish Pahilajani","Chuyi Shang","Leon Oks","Leonid Karlinsky"],"url":"https://arxiv.org/abs/2609.02885v1","arxiv_id":"2609.02885v1","published":"2026-09-02T17:59:40Z"},{"title":"Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework","abstract":"Autonomous robots powered by deep learning face a fundamental auditability challenge: when incidents occur, investigators cannot reconstruct why the system made specific decisions. This paper presents TRACE (Transparent Reasoning Architecture for Credible Execution), a decision framework that ensures every autonomous action can be traced back to sensor evidence through documented causal chains. The framework organize","authors":["Cagri Temel"],"url":"https://arxiv.org/abs/2609.02861v1","arxiv_id":"2609.02861v1","published":"2026-09-02T17:44:25Z"},{"title":"Post-Training Language Models for Gold-Medal Performance in Coding Competitions","abstract":"Competitive programming has become a key test of large language model reasoning, with international competitions such as IOI and ICPC representing its most challenging settings. We present an end-to-end specialization pipeline combining large-scale problem curation, synthetic reasoning traces, supervised fine-tuning (SFT), and reinforcement learning (RL). Using 22,000 curated problems, we train Nemotron-3-Nano-CC (30","authors":["Aleksander Ficek","Sean Narenthiran","Mehrzad Samadi","Somshubra Majumdar","Boris Ginsburg"],"url":"https://arxiv.org/abs/2609.02849v1","arxiv_id":"2609.02849v1","published":"2026-09-02T17:33:37Z"},{"title":"AI Contextual Measurement for Recovering Individual and Group-Level Effects: Validation Against Survey Measures and an Occupational Application","abstract":"Researchers increasingly use artificial intelligence to construct measures of social, organizational, and occupational characteristics that are absent from conventional surveys. We propose AICOME, AI COntextual MEasurement, a framework for evaluating whether AI-derived respondent-level measures can recover individual and group-level effects in contextual models. The key idea is that an AI measure constructed at the r","authors":["Wenxin Jiang","Xuyang Wang","Yuxiao Wu"],"url":"https://arxiv.org/abs/2609.02821v1","arxiv_id":"2609.02821v1","published":"2026-09-02T17:09:30Z"},{"title":"Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis","abstract":"Root cause analysis (RCA) is a critical task in telecom network operations, but diagnosing performance degradations in modern 5G and emerging 6G networks remains challenging due to complex cross-layer dependencies. While large language models (LLMs) offer promising capabilities for reasoning and knowledge integration, directly applying vanilla LLMs to telecom RCA often leads to hallucination, unstable reasoning, and ","authors":["Hao Zhou","Mandar Kulkarni","Hao Chen","Yan Xin","Charlie","Zhang"],"url":"https://arxiv.org/abs/2609.02805v1","arxiv_id":"2609.02805v1","published":"2026-09-02T16:43:22Z"},{"title":"frb100-40 After Two Decades: An Optimality Certificate and a Preregistered Search Study","abstract":"For more than 20 years, the Model-RB benchmark frb100-40 remained an open challenge; since 2014, its public record had stood at 99 of 100 variables. We give a directly checkable 100-vertex independent set for its 4,000-vertex graph. Together with a verified partition into 100 cliques of size 40, the witness proves that the maximum independent-set size is 100 and the minimum vertex-cover size is 3,900. The stochastic ","authors":["Onur Uğurlu"],"url":"https://arxiv.org/abs/2609.02804v1","arxiv_id":"2609.02804v1","published":"2026-09-02T16:40:46Z"},{"title":"Dutch Books for Language Models","abstract":"People increasingly use language models to support life decisions. Many such decisions involve a probabilistic forecast: How likely is a major life event, a natural disaster, or an economic outcome? Users of language models may implicitly trust that these forecasts fall out of a coherent world model. In this paper, we evaluate the coherence of language model probabilistic forecasts through a procedure that builds on ","authors":["Isaiah Andrews","Suproteem Sarkar"],"url":"https://arxiv.org/abs/2609.02797v1","arxiv_id":"2609.02797v1","published":"2026-09-02T16:31:47Z"},{"title":"SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment","abstract":"The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with the environment. This exposes them to safety risks in both harmful final responses and multi-step execution trajectories. Existing safety alignment mechanisms often rely on either external harness updates or policy optimization, yet applying either paradigm in isolation fails to bridge runtime control wi","authors":["Qinghua Mao","Wanying Qu","Dadi Guo","Leitao Yuan","Qingyu Liu","Yu Li"],"url":"https://arxiv.org/abs/2609.02786v1","arxiv_id":"2609.02786v1","published":"2026-09-02T16:19:54Z"},{"title":"From Reweighting to Rewriting: Unlocking the Intervention Effects of Influential Samples in Training Data Attribution","abstract":"Training data attribution (TDA) aims to identify training examples that shape model behavior, but its intervention value depends on both which examples are selected and how they are modified. Influence functions (IF) estimate behavioral changes under infinitesimal reweighting, yet IF-selected examples often show limited advantages over random selection under conventional weight-based interventions. This raises the qu","authors":["Yuzhang Luo","Chenpeng Wang","Jianhui Chen","Liangming Pan"],"url":"https://arxiv.org/abs/2609.02771v1","arxiv_id":"2609.02771v1","published":"2026-09-02T16:07:21Z"},{"title":"Measurement-Driven Sub-Network Selection for On-Premise Retrieval-Augmented Factory Agents","abstract":"On-premise assistants can give factory workers conversational access to machine documentation, but models capable of the task rarely fit shop-floor hardware. We show that after structural compression and retrieval-grounded adaptation, model size is no longer a reliable predictor of adapted answer quality: general capability falls almost linearly with parameter count, while judged retrieval-augmented answer quality do","authors":["Vasileios Rizeakos","Georgios Paisios","Alexandros Machairas","Michael Birbas","Athanasios Bachoumis"],"url":"https://arxiv.org/abs/2609.02760v1","arxiv_id":"2609.02760v1","published":"2026-09-02T16:00:05Z"},{"title":"Untangling the Mechanisms of Misleading Context in Medical Question Answering","abstract":"Large language models now answer medical questions with expert-level performance. However, the context these systems act on can be misleading, and misleading context can corrupt a model's medical judgment. To understand how misleading context corrupts this judgment, we examine the model's susceptibility to the context, disclosure of it, mechanism of corrupted reasoning, and monitorability of the decision. On the medi","authors":["Robin Linzmayer","Noémie Elhadad"],"url":"https://arxiv.org/abs/2609.02754v1","arxiv_id":"2609.02754v1","published":"2026-09-02T15:55:56Z"},{"title":"Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems","abstract":"Multi-agent LLM systems commonly use an orchestrator to decompose a task for a team of workers and then improve through textual reflection. Despite strong empirical results, these systems lack a unified account of coordination, memory improvement, and the role of external verification. We model orchestrator-worker interaction as a bilevel coordination game: under bounded coupling, the workers' local-update game is an","authors":["Yihang Chen","Yuxiang Chen","Yuxuan Huang","Meng Fang","Weilin Luo","Jun Wang"],"url":"https://arxiv.org/abs/2609.02750v1","arxiv_id":"2609.02750v1","published":"2026-09-02T15:50:10Z"},{"title":"Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills","abstract":"Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model backbone with a harness for planning, execution, memory, and verification, but this architecture still leaves domain-specific know-how outside the agent. We call this missing layer operational knowledge, the know-how that separates knowing a method from making it work. That knowledge is not absent from","authors":["Jianlyu Chen","Yuyang Hu","Hongjin Qian","Jiawei Liu","Wenqing Wei","Xiaolong Chen"],"url":"https://arxiv.org/abs/2609.02749v1","arxiv_id":"2609.02749v1","published":"2026-09-02T15:49:41Z"},{"title":"HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design","abstract":"Polymeric materials are central to modern technologies, with applications ranging from energy to health and transportation. Although AI has made significant advances in materials discovery, the hierarchical structure of polymers across multiple length scales makes them inherently difficult to represent in a unified and physically meaningful way. Here we introduce HiPoly, a polymer-native AI framework that processes c","authors":["Ge Sun","Gervasio Zaldivar","Yuan Tian","Gustavo Perez Lemus","Juhae Park","Dasha Safarian"],"url":"https://arxiv.org/abs/2609.02746v1","arxiv_id":"2609.02746v1","published":"2026-09-02T15:48:11Z"},{"title":"Language Models Can Control Their Own Attention","abstract":"Language models spend most of their attention on a small fraction of context, yet they read the entire KV cache to find the few tokens that matter. If the user asks about a previous detail in a 1M-token conversation, global attention layers must scan the full context to generate each token of the reply. A prominent approach mitigates this cost by pre-selecting relevant tokens via lightweight proxy scores, but this ex","authors":["Namgyu Ho","Huzama Ahmad","Woosung Koh","Se-Young Yun","Tal Schuster","Cicero Nogueira dos Santos"],"url":"https://arxiv.org/abs/2609.02737v1","arxiv_id":"2609.02737v1","published":"2026-09-02T15:43:38Z"},{"title":"RVSD: Retrieval Vision Sparse Decoding for Mitigating Visual Hallucinations in Large Vision-Language Models","abstract":"Large vision-language models have achieved remarkable success in vision-language tasks. However, they remain prone to Visual Hallucinations (VHs), undermining their reliability in real-world applications. Existing solutions typically require curated datasets, additional training, or multi-round decoding, resulting in considerable computational overhead. In this paper, we propose \\textbf{RVSD} (\\underline{R}etrieval \\","authors":["Canjie Liu","Jiawen Kang","Jinbo Wen","Zishao Zhong"],"url":"https://arxiv.org/abs/2609.02731v1","arxiv_id":"2609.02731v1","published":"2026-09-02T15:40:40Z"},{"title":"Door-in-the-Face Requests and Refusal Behaviour in Large Language Models","abstract":"Does the door-in-the-face technique work on language models? In humans, a large request that is refused makes a smaller follow-up request more likely to be granted. We test this on nine production models from three providers: each model refuses a large request, then receives a smaller version of the same request, and we compare its compliance with asking directly. The answer depends on the model. On Anthropic's front","authors":["Til Jordan"],"url":"https://arxiv.org/abs/2609.02707v1","arxiv_id":"2609.02707v1","published":"2026-09-02T15:08:51Z"},{"title":"DKL: Decoupled Knowledge Learning for Instruction-Tuned Language Models","abstract":"RAG has become the de facto method for incorporating new, corpus-specific knowledge into an instruction following LLM (Instruct LLM). Although RAG-based prompting improves factual grounding, it fails when retrieval is incorrect or incomplete, leading to hallucinations. Finetuning methods such as RAFT and PA-RAG enhance RAG by injecting new knowledge into the model's parameters, but require generating a massive amount","authors":["Kushagra Bhushan","Meghanadh Pulivarthi","Sai Krishna Reddy Sathi","Gaurav Pandey","Sonam Gupta","Vineet Kumar"],"url":"https://arxiv.org/abs/2609.02685v1","arxiv_id":"2609.02685v1","published":"2026-09-02T14:53:50Z"},{"title":"From Tokens to Semantics: Leveraging Complementary Signals for Hallucination Detection in Black-Box LLMs","abstract":"When LLMs support public-facing or high-stakes workflows, missed fabrications can harm users and institutions, while false alarms consume limited human-review capacity. When no trusted context or reference document is available, we study two signals accessible through black-box model APIs: semantic entropy, which measures disagreement among sampled response meanings, and uncertainty derived from token log-probabiliti","authors":["Urja Pawar","Rajitha Ramanayake","Owen O'Neill","Nabeel Kemal","Abhishek Mandal","Houssem Chatbri"],"url":"https://arxiv.org/abs/2609.02679v1","arxiv_id":"2609.02679v1","published":"2026-09-02T14:50:24Z"},{"title":"Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting","abstract":"Aggregating noisy, conflicting textual hypotheses into a reliable consensus is a fundamental challenge when deploying NLP systems in real-world industrial settings. While monolithic Large Language Model (LLM) agents offer unbounded expressivity for tasks like Root Cause Analysis (RCA), they suffer from context limits, compounding hallucinations, and prohibitive inference latency. Traditional weak supervision offers s","authors":["Ron Begleiter","Katya Egert Berg","Gilad Saban","Gil Shabat"],"url":"https://arxiv.org/abs/2609.02649v1","arxiv_id":"2609.02649v1","published":"2026-09-02T14:24:32Z"},{"title":"TaRA: Training-Aware Low-Rank Adaptation Initialization","abstract":"Low-Rank Adaptation (LoRA) has become a de facto standard for parameter-efficient fine-tuning (PEFT), yet its performance is highly sensitive to initialization due to the information bottleneck imposed by low-rank decomposition. Existing approaches attempt to construct high-quality LoRA initializations by exploiting principal components of pretrained weights, activations, or gradients. However, these methods do not d","authors":["Taehyeon Kim","Eunhyeok Park"],"url":"https://arxiv.org/abs/2609.02639v1","arxiv_id":"2609.02639v1","published":"2026-09-02T14:15:22Z"},{"title":"Automated Vulnerability Injection in Smart Contracts Using Large Language Models","abstract":"Assessing vulnerability detection tools for smart contracts requires datasets with known ground truth, yet such datasets are scarce and difficult to build by hand. We propose an approach that uses Large Language Models (LLMs) to automatically inject vulnerabilities into Solidity smart contracts, and demonstrate it in a case study targeting 49 vulnerability types from OpenSCV. Injected contracts are validated through ","authors":["Luca Migliaccio","Roberto Natella","Naghmeh Ivaki","Nuno Laranjeiro","Marco Vieira"],"url":"https://arxiv.org/abs/2609.02624v1","arxiv_id":"2609.02624v1","published":"2026-09-02T14:03:09Z"},{"title":"Collective creativity in hybrid societies","abstract":"Generative AI is changing how cultural artifacts are created and circulated, and with it our understanding of creativity itself. Researchers disagree about whether these tools enrich or impoverish culture, and we argue that much of that disagreement comes from conflating two distinct components of creativity: novelty, a property of single artifacts, and diversity, a property of populations. We argue further that crea","authors":["Mason Youngblood","Katie Mudd","Manuel Anglada-Tort","Cameron Jones","Elena Miu","Diana Omigie"],"url":"https://arxiv.org/abs/2609.02620v1","arxiv_id":"2609.02620v1","published":"2026-09-02T13:59:08Z"},{"title":"Competitive Market Behavior of LLMs","abstract":"Large language models (LLMs) are increasingly deployed as economic agents, yet there is little evidence whether LLM agents are suited for participating in market mechanisms designed for humans, and whether these mechanisms deliver desired outcomes when faced with LLM agents. We address this question by replicating seminal economic experiments, replacing human subjects with LLM agents. We place agents in a double auct","authors":["Pawel Struski","Jakub Swistak","Inez Okulska","Przemyslaw Biecek"],"url":"https://arxiv.org/abs/2609.02580v1","arxiv_id":"2609.02580v1","published":"2026-09-02T13:24:42Z"},{"title":"ProbeMatchDTI: Probe-Driven Multi-Scale Biochemical Pattern Matching for Drug-Target Interaction Prediction","abstract":"Drug-target interaction (DTI) prediction is an important task in AI-driven drug discovery. Although recent biochemical representation learning methods have improved DTI prediction, their passive feature aggregation tends to favor dominant molecular patterns while suppressing weak yet binding-relevant signals, such as functional groups and residue-context patterns, limiting the modeling of multi-scale biochemical corr","authors":["Quan Hao","Mengyue Fan","Zifan Dong","Youru Li","Jianduo Zhao","Lechuan Xu"],"url":"https://arxiv.org/abs/2609.02549v1","arxiv_id":"2609.02549v1","published":"2026-09-02T13:00:50Z"}],"history":{"events":[{"year":2011,"text":"Bad weather caused a Chilean Air Force aircraft to crash into the Pacific Ocean, killing all 21 people on board.","url":"https://en.wikipedia.org/wiki/Chilean_Air_Force"},{"year":1998,"text":"A fire in the cockpit on Swissair Flight 111, en route from New York City to Geneva, caused the aircraft to crash into the Atlantic Ocean near Canada, killing all 229 people on board.","url":"https://en.wikipedia.org/wiki/Swissair_Flight_111"},{"year":1992,"text":"An earthquake registering 7.7 Mw off the coast of Nicaragua became the first tsunami earthquake to be captured on modern broadband seismic networks.","url":"https://en.wikipedia.org/wiki/1992_Nicaragua_earthquake"},{"year":1985,"text":"Hurricane Elena, an unpredictable and damaging tropical cyclone that affected eastern and central portions of the United States Gulf Coast, made landfall near Biloxi, Mississippi, as a Category 3 major hurricane.","url":"https://en.wikipedia.org/wiki/Hurricane_Elena"},{"year":1967,"text":"Paddy Roy Bates proclaimed HM Fort Roughs, a former World War II Maunsell Sea Fort in the North Sea off the coast of Suffolk, England, as an independent sovereign state: the Principality of Sealand (pictured).","url":"https://en.wikipedia.org/wiki/Roy_Bates"},{"year":1957,"text":"South Vietnamese president Ngô Đình Diệm began an official visit to Australia, the first by a foreign incumbent head of state to the country.","url":"https://en.wikipedia.org/wiki/South_Vietnam"},{"year":1946,"text":"The interim government of India, headed by Jawaharlal Nehru, was formed to assist the transition of India from British rule to independence.","url":"https://en.wikipedia.org/wiki/Interim_Government_of_India"},{"year":1945,"text":"On the deck of the U.S. Navy battleship Missouri in Tokyo Bay, representatives from the Empire of Japan and the Allied powers signed the Japanese Instrument of Surrender , formally ending World War II.","url":"https://en.wikipedia.org/wiki/United_States_Navy"},{"year":1912,"text":"Arthur Rose Eldred became the first person to attain the rank of Eagle Scout in the Boy Scouts of America.","url":"https://en.wikipedia.org/wiki/Arthur_Rose_Eldred"},{"year":1901,"text":"U.S. vice president Theodore Roosevelt first publicly used the phrase \"speak softly and carry a big stick\" (cartoon pictured) at the Minnesota State Fair, describing his philosophy of negotiating peacefully while simultaneously threatening to use military force.","url":"https://en.wikipedia.org/wiki/Theodore_Roosevelt"},{"year":1885,"text":"White miners in Rock Springs, Wyoming, attacked Chinese-American immigrants, killing at least 28 Chinese miners and causing approximately $150,000 in property damage.","url":"https://en.wikipedia.org/wiki/Rock_Springs%2C_Wyoming"},{"year":1870,"text":"Franco-Prussian War: Prussian forces captured Napoleon III at the Battle of Sedan, which led to the collapse of the Second French Empire within days.","url":"https://en.wikipedia.org/wiki/Franco-Prussian_War"},{"year":1792,"text":"French Revolution: Due to an overwhelming fear that foreign armies would attack Paris and prisoners would revolt, revolutionaries began the summary execution of more than a thousand prisoners.","url":"https://en.wikipedia.org/wiki/French_Revolution"},{"year":1789,"text":"The United States Department of the Treasury was founded following financial concerns in the new nation.","url":"https://en.wikipedia.org/wiki/United_States_Department_of_the_Treasury"},{"year":1666,"text":"A large fire began in London's Pudding Lane and burned for five days, destroying St Paul's Cathedral and the homes of 70,000 of the city's 80,000 inhabitants.","url":"https://en.wikipedia.org/wiki/Great_Fire_of_London"}],"births":[{"year":2002,"text":"Bradley Barcola, French footballer","url":"https://en.wikipedia.org/wiki/Bradley_Barcola"},{"year":1998,"text":"Nickeil Alexander-Walker, Canadian basketball player","url":"https://en.wikipedia.org/wiki/Nickeil_Alexander-Walker"},{"year":1998,"text":"Choi Ye-bin, South Korean actress","url":"https://en.wikipedia.org/wiki/Choi_Ye-bin"},{"year":1998,"text":"Eetu Luostarinen, Finnish ice hockey player","url":"https://en.wikipedia.org/wiki/Eetu_Luostarinen"},{"year":1997,"text":"645AR, American rapper","url":"https://en.wikipedia.org/wiki/645AR"},{"year":1997,"text":"Brandon Ingram, American basketball player","url":"https://en.wikipedia.org/wiki/Brandon_Ingram"},{"year":1996,"text":"Austin Abrams, American actor","url":"https://en.wikipedia.org/wiki/Austin_Abrams"},{"year":1995,"text":"Willy Adames, Dominican baseball player","url":"https://en.wikipedia.org/wiki/Willy_Adames"}],"deaths":[{"year":2024,"text":"James Darren, American actor (born 1936)","url":"https://en.wikipedia.org/wiki/James_Darren"},{"year":2024,"text":"Rodolfo Hernández Suárez, Colombian politician (born 1945)","url":"https://en.wikipedia.org/wiki/Rodolfo_Hern%C3%A1ndez_Su%C3%A1rez"},{"year":2022,"text":"Frank Drake, American radio astronomer and astrophysicist (born 1930)","url":"https://en.wikipedia.org/wiki/Frank_Drake"},{"year":2022,"text":"T. V. Sankaranarayanan, Indian Carnatic vocalist (born 1945)","url":"https://en.wikipedia.org/wiki/T._V._Sankaranarayanan"},{"year":2021,"text":"Siddharth Shukla, Indian TV and film actor (born 1980)","url":"https://en.wikipedia.org/wiki/Sidharth_Shukla"},{"year":2021,"text":"Mikis Theodorakis, Greek composer (born 1925)","url":"https://en.wikipedia.org/wiki/Mikis_Theodorakis"},{"year":2018,"text":"Claire Wineland, American activist and author (born 1997)","url":"https://en.wikipedia.org/wiki/Claire_Wineland"},{"year":2016,"text":"Jerry Heller, American music manager (born 1940)","url":"https://en.wikipedia.org/wiki/Jerry_Heller"}]},"census":{"panel_version":2,"probed":14770,"error_rate":29.61,"degraded":false,"rates":{"head":11.6,"tail":3.3,"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."}