Record 21092026 · captured 2026-09-22
The world looked up Lizzie Borden. 30 tracked subjects, 25 discussions, 25 papers. This record is frozen and will not change.
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What the most people looked up, ranked by Wikipedia pageviews for that day.
Lizzie Andrew Borden was an American woman who was tried and acquitted of the August 4, 1892, murders of her father and stepmother in Fall River, Massachusetts. No other individuals were charged with the murders.
Resident Evil is a 2026 horror film directed by Zach Cregger and written by Cregger and Shay Hatten, based on the Resident Evil video game franchise by Capcom. It follows Bryan, a medical courier who must fight through an outbreak of infected monsters in Racco
Monster: The Lizzie Borden Story
Monster: The Lizzie Borden Story is the fourth season of the American biographical crime drama anthology television series Monster, created by Ian Brennan for Netflix. The season centers on murder suspect Lizzie Borden who was tried and acquitted of the 1892 a
UFC 331: Van vs. Pantoja 2 was a mixed martial arts event produced by the Ultimate Fighting Championship that took place on September 19, 2026, at Crypto.com Arena in Los Angeles, California, United States.
Lane Monte Kiffin is an American football coach who is the head coach for the LSU Tigers. He previously served as the head coach for the Oakland Raiders from 2007 to 2009, Tennessee Volunteers in 2009, USC Trojans from 2010 to 2013, Florida Atlantic Owls from
Chad Everett Gilbert was an American guitarist, record producer and songwriter. He was a founding member of the punk rock band New Found Glory, for whom he played lead guitar and sang backing vocals. He was also the lead vocalist for the band's now-defunct sid
Aileen Carol Wuornos was an American serial killer. Between 1989 and 1990, while engaging in street prostitution along highways in Florida, Wuornos shot, killed, and robbed seven of her male clients. She initially claimed that her victims had either raped or a
Trinidad Jay Chambliss is an American college football quarterback for the Ole Miss Rebels. He previously played for the Ferris State Bulldogs, leading the 2024 Bulldogs to the Division II national championship.
The 2026 Asian Games , officially the XX Asian Games (第20回アジア競技大会) and also known as Aichi–Nagoya 2026 (愛知・名古屋2026), is an ongoing multi-sport event which are being held in Aichi Prefecture in Japan from 19 September to 4 October 2026, with several events star
Gable Dan Steveson is an American freestyle wrestler, professional mixed martial artist, former professional wrestler and football defensive tackle. He is currently signed to the Heavyweight divisions of both Real American Freestyle and Ultimate Fighting Champ
Ella Beatty is an American actress and the daughter of Annette Bening and Warren Beatty.
Joshua Van Bawi Thawng is a Burmese and American professional mixed martial artist currently competing in the Flyweight division of the Ultimate Fighting Championship (UFC), where he is the current UFC Flyweight Champion. Van is the first fighter from Myanmar
.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
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
Charles Spencer, 9th Earl Spencer
Charles Edward Maurice Spencer, 9th Earl Spencer, styled Viscount Althorp between 1975 and 1992, is a British peer, author, journalist, and broadcaster. He is the younger brother of Diana, Princess of Wales, and the maternal uncle of William, Prince of Wales,
Killing of the Clancy children
On January 24, 2023, Lindsay Clancy fatally 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 cut her wrists and neck and jumped from a sec
Scott Christopher Thompson, known professionally as Carrot Top, is an American stand-up comedian and actor. He is known for his use of prop comedy.
Modha Rathri is a 2026 Indian Tamil-language comedy drama film written and directed by Raja Karuppasamy in his directorial debut and produced by Mythri Movie Makers. The film stars Rishikanth, Anishma Anilkumar, Shelly Kishore, Chetan and Bagavathi Perumal in
The 2026 Berlin state election was held on 20 September 2026 to elect the 20th Abgeordnetenhaus of Berlin. The 2026 Mecklenburg-Vorpommern state election took place on the same day, two weeks after the 2026 Saxony-Anhalt state election.
Ansel Easton Adams was an American landscape photographer and environmentalist known for his black-and-white images of the American West. He helped found Group f/64, an association of photographers advocating "pure" photography which favored sharp focus and th
2026 Mecklenburg-Vorpommern state election
The 2026 Mecklenburg-Vorpommern state election was held on 20 September 2026 to elect the 9th Landtag of Mecklenburg-Vorpommern. The 2026 Berlin state election took place on the same day, two weeks after the AfD won the 2026 Saxony-Anhalt state election that p
India is participating in the 2026 Asian Games in Aichi Prefecture, Japan from 19 September to 4 October 2026. This is the country's 20th consecutive appearance in the competition, having made its debut at the inaugural 1951 Asian Games. The Indian contingent
Hanuman Ansh is a 2026 Indian Hindi-language biographical film written, directed and produced by Vishal Chaturvedi under his banner, Swambhu Media Network. Serving as the first instalment of a trilogy, it is based on his book Divine Detour: That Changed My Lif
Vicky Krieps is a Luxembourgish and German actress. She has appeared in a number of American, Luxembourgish, French, and German productions. Her breakout role was in the London-based period film Phantom Thread (2017), directed by Paul Thomas Anderson.
2026 Russian legislative election
Legislative elections were held in Russia from 18 to 20 September 2026, to elect all 450 seats of the State Duma, the lower house of the Federal Assembly. Going into the election, United Russia was the incumbent and largest party with 324 seats.
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
Irumudi is a 2026 Telugu-language action drama film written and directed by Shiva Nirvana. Produced by Mythri Movie Makers and presented by T-Series Films, the film stars Ravi Teja, Priya Bhavani Shankar, Sai Kumar, and Baby Nakshathra. The film centres on the
Edward Christopher Sheeran is an English singer-songwriter. Born in Halifax, West Yorkshire, and raised in Framlingham, Suffolk, he began writing songs around the age of eleven. In early 2011, Sheeran independently released the extended play No.5 Collaboration
Neagley is an American action crime television series created by Nick Santora and Nicholas Wootton for Amazon Prime Video. Based on the character created by Lee Child, it is a spin-off of the television series Reacher. It stars Maria Sten, who reprises her rol
What the people building things argued about, from Hacker News.
Papers submitted to arXiv cs.AI that day.
GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise action control over multiple temporal horizons. Existing datasets and benchmarks, however, either cover a narrow range of games, lack language instructions, or rely on high-variance online rollouts. To address these challenges, we introduce GameHorizon, a un
WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory
Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCrafter, a video world model that learns a camera-queryable implicit 3D-aware memory for this purpose. The key insight is to let the requested viewpoint shape how multi-view evidence is compressed into the video generator's limited token budget
DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation
Dexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World-Action Models (WAMs) couple predictive video world modeling with action generation, but remain largely vision-centric and therefore cannot directly model these contact dynamics. We present DexTacWAM, a visuo-tactile WAM that encodes each fingertip independently, aggregates the resulting features throu
Harness-Zero: Harness Distillation via Agent-as-Harness
Agent harnesses, the external systems that mediate model-environment interaction, can substantially improve agent performance, but their gains remain tied to the harness at deployment. Because the best harness varies across domains, instances, and models, a general-purpose agent must either settle for a suboptimal shared harness or route among an ever-growing set of specialized ones. We therefore study agent harness
RRSI: Regularized Recursive Self-Improvement of Agent Harnesses
An LLM agent's capability is largely magnified by its harness, namely the prompts, control flow, tooling, memory, and context management surrounding the frozen backbone model. Recent methods increasingly automate this process by iteratively proposing and selecting component-wise edits of an agent harness, practically establishing a form of recursive self-improvement (RSI) at the agent-system level. However, such recu
DolphinBench: Mapping the Pareto Frontier of Agent Memory
Agents today often take real-world actions that depend on long-term memory and context recall over time. However, most current memory benchmarks are built for a conversational question-answer format, where the question itself signals that some fact must be retrieved, and often which one. Moreover, benchmarks rarely require anything beyond accuracy from submissions, allowing memory systems to make unreasonable cost/ti
Rare Event Estimation via Iterative Unalignment
As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment therefore does not depend on whether these events can occur, but on how often they might. We study the problem of estimating the probability of rare events that arise from stochastic variation in the agent's own actions. Estimating this type of risk re
Emergent Collusion in Long-Horizon LLM Agent Interaction
LLM agents are increasingly deployed in collaborative settings, yet long-term interaction may give rise to undesirable coordination. We study the emergence of collusion in a long-horizon multi-agent environment: two agents repeatedly complete individual tasks, share task logs, verify each other's work, and receive rewards. We introduce realistic constraints that make compliance with the verification protocol incompat
Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences
Scientific workflows often require choosing among known relations before a deterministic calculation can proceed. Whether observations share a culture, treatment or reference standard can change the scientific meaning of the resulting count or comparison. We evaluate Jev as a semantic decision component using a harness that follows its documented guidance and assigns arithmetic to code. The study compares twelve mode
Generative Tutorial: Towards Live Contextualized Visual Instructions for Physical Tasks
Visual instructions for physical tasks are typically authored in one context and followed in another, requiring users to translate demonstrated tools, materials, and spatial relationships into their own environment. We introduce Generative Tutorial, a conceptual framework for live visual instruction that depicts intended outcomes and actions within the user's environment and task flow. A formative evaluation of state
Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization
A model generalizes outside its training distribution only when it computes a representation structurally equivalent to the generating mechanism, not an approximation fitted to it. Such equivalence is necessary for exactness in and out of distribution, and extrapolation is governed by this exactness at inference, whatever its realization. Tensor Logic shows this: a zero-temperature contraction is equivalent to discre
Et Tu, Brute? Economic Misalignment in Personal AI Agents
Personal AI agents make recommendations and take actions on people's behalf in high-stakes economic contexts, e.g., buying a flight, choosing health insurance, or selecting a graduate program. The agent is given access to the user's personal context, e.g., their email inbox and a structured profile of personal attributes, with the intention of making an optimal, personalized decision for the user. We show that by sim
BackTrend: Evaluating Scientific Weak-Signal Prediction via Backward Reconstruction
Scientific weak signals are early, low-visibility research directions that later become central to mature scientific topics, yet existing resources such as trend tracking, citation forecasting, and foresight reports rarely provide validated reference sets that link concrete early precursors to later paradigms. We introduce BackTrend, a retrospective benchmark in which, given a mature target topic and a temporal evide
Visuomotor Robotic Pruning in Planar Orchards Using Hybrid Reinforcement Learning
Dormant tree pruning is labor-intensive yet essential for maintaining modern high-productivity fruit orchards. In this work, we focus on pruning of modern planar tree training systems - V-Trellis apples and UFO cherries - where trunks and primary branches are trained into approximately planar walls. We introduce an end-to-end pipeline to learn a closed-loop visuomotor controller for robotic pruning. This controller i
OSWorld-Pro: Process-based Evaluation for Computer Use Agents
Evaluation of Computer-Use Agents (CUAs) is often limited to the final deliverables they create (at the end of hundreds of steps) and assessed with functional verifiers, as seen in OSWorld. However, such evaluation of end-state performance lacks transparency into how and why agents fail in various tasks, obfuscating critical insight for subsequent improvement. For instance, agents that err during keyboard inputs woul
Artificial intelligence (AI) registers and inventories aim to make governmental AI visible, but their institutional scope, schemas, and reporting practices construct different representations of public-sector AI. We compare 8,368 records from country-specific and transnational inventories covering 72 countries. Across 23 harmonized fields, registers shared a descriptive core but rarely requested information about app
Pinocchio: Fast Uncertainty Estimates for Black-Box Language Models
In high-stakes decision-making applications of large language models (LLMs), practitioners require not only accurate LLMs but also uncertainty estimates for their predictions. Existing approaches to uncertainty estimation for LLMs require access to log-probabilities output by the model or require fine-tuning access. However, many industrial LLM products use closed-source API models, and many such API models like GPT
Partner-Specific Affective Precision in Social Active Inference
In multi-agent social settings, model reliability varies across relationships. Beyond inferring what others will do, an agent must calibrate how confidently those inferences should guide policy selection for each relationship. An agent may maintain a well-validated model of one partner, a fragile model of another, and a model under revision for a third; collapsing these into a single confidence estimate loses informa
Reaching a 6-DoF grasp pose in clutter requires a collision-free trajectory, conventionally obtained by reconstructing the scene in 3D and planning inside that reconstruction, at the cost of its accuracy and compute. Potential fields learned directly from images remove that dependency but inherit the classical weakness of artificial potential fields: where attractive and repulsive gradients cancel, the descent grazes
When Tomorrow Becomes Today: Self-Evolving Policies for Agentic Time-Series Forecasting
Agentic time series forecasting concerns systems whose underlying mechanisms evolve, making the relative effectiveness of numerical models, reasoning strategies, and intervention rules inherently time-varying. Consequently, a time series agent must adapt the forecasts it produces and the orchestration policy that determines which components to trust and how to coordinate them. The deployment process naturally provide
Small-world Networks of Agents Brainstorm AI Risks to Support Ideation
The ideation phase of participatory AI risk assessment often starts with a blank slate or a limited list of predefined risks, making it difficult to surface indirect or systemic harms. To address this limitation, we propose a three-stage ideation support tool. The tool complements participatory AI, rather than replacing it, and helps focus later engagement with affected communities. First, it dynamically discovers st
Argumentative component detection (ACD) is a core subtask of Argument(ation) Mining (AM) and one of its most challenging aspects, as it requires jointly delimiting argumentative spans and classifying them into components such as claims and premises. While research on this subtask remains relatively limited compared to other AM tasks, most existing approaches formulate it as a simplified sequence labeling problem, com
SPECTRA: Adaptive Execution of Speculative Decoding on a Runtime-Reconfigurable Tiled Architecture
LLM inference on edge devices is constrained by computational and memory resources, making efficient autoregressive decoding challenging. Speculative decoding alleviates this bottleneck by generating tokens with a smaller draft model and verifying multiple tokens in parallel with a batched target model pass. However, verification introduces a runtime-dependent intermediate regime between memory-bound general matrix-v
MedRSI: Recursive Self-Improvement for Medical Agents via Clinically Aligned Self-Evolution
Medical agents increasingly combine general reasoning models with specialized clinical tools, yet their capabilities remain largely fixed by what clinicians and engineers design before deployment. Recursive self-improvement (RSI) offers a different paradigm in which agents learn from their own failures and autonomously expand their capabilities, but directly applying RSI to medicine introduces fundamental safety chal
GRUET: Quantifying Uncertainty of Agentic Reasoning-and-Acting Processes
Agents have attracted considerably increasing attention due to the power of executing both Reasoning and Acting (ReAct) in open and dynamic environments. The ReAct process typically exhibits a multi-turn trajectory in which one drives Large Language Models (LLMs) to generate both reasoning chains and task-specific actions in an interleaved manner. However, agents often suffer from significant uncertainty, where ident
Origins publishing files written for machines rather than people. Measured against a frozen cohort, so a change in the number means a change in adoption.
| Signal | Web head Tranco top 1,000 n=1,000 | Web tail sampled to rank 100k n=1,000 | AI-native model & dev platforms n=110 |
|---|---|---|---|
| Any agent-facing signal | 11.5% (115) | 5.7% (57) | 74.55% (82) |
| llms.txt (apex domain) | 9.2% (92) | 4.9% (49) | 60% (66) |
| llms.txt (docs subdomain) | 3.9% (39) | 1.1% (11) | 45.45% (50) |
| .well-known/mcp.json | 0.6% (6) | 0.2% (2) | 8.18% (9) |
| .well-known/agents.txt | 0.3% (3) | 0.2% (2) | 0% (0) |
| ai.txt | 0.2% (2) | 0.1% (1) | 0% (0) |
| ai-plugin.json (deprecated) | 0.7% (7) | 0.2% (2) | 0.91% (1) |
Notable events recorded on this day and month across all years.