Record 27082026 · captured 2026-08-28
The world looked up Dolly Parton. 30 tracked subjects, 25 discussions, 25 papers. This record is frozen and will not change.
Complete record JSON
What the most people looked up, ranked by Wikipedia pageviews for that day.
Dolly Rebecca Parton Dean was an American singer-songwriter, actress and businesswoman. Dubbed the "Queen of Country", Parton was one of the most honored performers of country music in history, earning eleven Grammy Awards and three Emmy Awards, as well as nom
Timothy James Curry was an English actor and singer. He began his career on the stage, making his debut in Hair (1968–1969) and gaining wide recognition for portraying Dr Frank-N-Furter in The Rocky Horror Show (1973–1975) and its 1975 film adaptation The Rock
Toxic: A Fairy Tale for Grown-Ups is a 2026 Indian gangster film directed by Geetu Mohandas and jointly produced by Venkat K. Narayana and Yash through KVN Productions and Monster Mind Creations LLP respectively. It stars Yash in the lead role alongside Kiara
List of Tim Curry performances
Timothy James Curry (1946–2026) was an English actor and singer based in the United States who had several roles in video games, films, television shows, and audiobooks.
Avtar "Kuku" Kohli was an Indian film director, producer screenwriter and editor. He gave Ajay Devgan his first break in the 1991 film Phool Aur Kaante.
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
Stella Mae Parton is an American country singer and songwriter widely known for a series of country singles that charted during the mid-to-late-1970s, her biggest hit being "I Want to Hold You in My Dreams Tonight" in 1975. She is the younger sister of the lat
Rachel Ann Parton George is an American singer and actress and the youngest sibling of entertainer Dolly Parton.
Randle Huston Parton was an American country music singer-songwriter, actor, and businessman.
Hayden Lesley Panettiere was an American actress and singer. She first appeared on-screen in a commercial in 1990 when she was 11 months old, and by age five, she had appeared in more than 50 commercials. Her first major television roles were as Sarah Roberts
Kyle Colby Singler is an American former professional basketball player. Singler was a four-year starter for the Duke men's basketball team and was instrumental in their 2010 NCAA championship run, and was named the NCAA Tournament's Most Outstanding Player. I
"I Will Always Love You" is a song written and originally recorded in 1973 by American singer-songwriter Dolly Parton. Written as a farewell to her business partner and mentor Porter Wagoner, expressing Parton's gratitude and also her decision to pursue a solo
Kenneth Donald Ray Rogers was an American country music singer-songwriter. Rogers was particularly popular with country audiences, but also charted more than 120 hit singles across various genres, topping the country and pop album charts for more than 200 indi
Spider-Man: Brand New Day is a 2026 American superhero film based on the Marvel Comics character Spider-Man. Produced by Columbia Pictures, Marvel Studios, and Pascal Pictures, and distributed by Sony Pictures Releasing, it is the 38th film in the Marvel Cinem
The Rocky Horror Picture Show is a 1975 musical comedy film produced by Lou Adler and Michael White, directed by Jim Sharman, and distributed by 20th Century Fox. The film is based on the 1973 musical stage production The Rocky Horror Show, with music, book, a
Gayatri Das, better known by her stage name Geetu Mohandasi, is an Indian actress and director known for her works in Malayalam cinema. In 2013, she directed the socio political film Liar's Dice which has received two National Film Awards, was premiered at Sun
Dollywood is a theme park jointly owned by Herschend and Dolly Parton Productions, the entertainment company of country singer-songwriter Dolly Parton. It is located in the Knoxville metropolitan area in Pigeon Forge, Tennessee, near the gateway to the Great S
Porter Wayne Wagoner was an American country music singer known for his flashy Nudie and Manuel suits and blond pompadour.
William Earl Owens was an American country music songwriter. He was the uncle of Dolly Parton. Over the course of his career, he wrote or co-wrote more than 800 songs, including “Put It Off Until Tomorrow," which he co-wrote with Parton. The song won the 1966
The Odyssey is a 2026 epic action fantasy film written and directed by Christopher Nolan, who produced it with his wife Emma Thomas. An adaptation of Homer's ancient Greek epic poem the Odyssey, it stars an ensemble cast including Matt Damon, Tom Holland, Anne
9 to 5 is a 1980 American comedy film directed by Colin Higgins, who wrote the screenplay with Patricia Resnick, and starring Jane Fonda, Lily Tomlin, Dolly Parton in her film debut, Dabney Coleman, Elizabeth Wilson, and Sterling Hayden. It tells the story of
Aruna Irani is an Indian actress, who has acted in over 500 films throughout Hindi, Kannada, Punjabi, Marathi and Gujarati cinema, playing mostly supporting and character roles. She received two Filmfare Awards for Best Supporting Actress for Pet Pyaar Aur Paa
The 2026–27 UEFA Champions League is the 72nd season of Europe's premier football tournament organised by UEFA and the 35th season since it was rebranded from the European Cup to the UEFA Champions League.
Michele Ann Marie Fabares was an American actress and singer. She was known for her television roles as Francine Webster on One Day at a Time, Mary on the sitcom The Donna Reed Show (1958–1963) and as Christine Armstrong on the sitcom Coach (1989–1997), the la
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
Miley Ray Cyrus is an American singer, songwriter, and actress. An influential figure in popular music, Cyrus is known for her evolving artistry and image reinventions. She was an established child actress before developing a successful entertainment career as
Pittman Center is a town in Sevier County, Tennessee, United States. The population was 454 at the 2020 census and 502 at the 2010 census. The town is 8 miles (13 km) east of Gatlinburg and borders the Great Smoky Mountains National Park. U.S. Route 321 passes
Anna's Archive is an open source search engine for shadow libraries that was launched by the pseudonymous Anna shortly after law enforcement efforts to shut down Z-Library in 2022. The site aggregates records from Z-Library, Sci-Hub, and Library Genesis (LibGe
Kwanza Jones is an American singer-songwriter Jones began her career as a singer, performing and winning Amateur Night at the Apollo Theater. In 2026, her husband, José E. Feliciano, led an investor group to purchase the San Diego Padres for a record price of
The Best Little Whorehouse in Texas (film)
The Best Little Whorehouse in Texas is a 1982 American musical comedy film based on the 1978 stage musical by Larry L. King, Peter Masterson, and Carol Hall. Directed by Colin Higgins from a screenplay he co-wrote with Masterson and King, the film stars Burt R
What the people building things argued about, from Hacker News.
Papers submitted to arXiv cs.AI that day.
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. Recent work automatically discovers such skills from agent experience, which enables agents to progressively adapt through interaction. However, the insights that guide skill development typically remain scattered across optimization histories, limiting their systematic reuse across iterations. We intro
SWE-Prime: Fewer Trajectories, Better Performance
To improve large language models' ability to resolve real-world software issues, prior work has focused on constructing large-scale agent trajectory datasets and performing supervised fine-tuning (SFT) on successful trajectories. However, task success does not guarantee high-quality supervision: successful trajectories may still contain ineffective, redundant, or risky steps. Directly using such trajectories for SFT
From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
In real-world software development, code review typically involves iterative interactions between developers and reviewers to improve software quality, making the process costly and time-consuming. Although recent work explores large language models (LLMs) for automated code review, most approaches oversimplify code review into a single-round, static decision task, which fails to capture the multi-round interactive n
RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful tool use and persistent state changes, creating greater risks than unsafe text generation alone. Existing automatic red-teaming methods often rely on fixed attacks, while recent agentic attackers coordinate multiple jailbreak tools and show stronger potential through trajectory-based retrieval. Howeve
Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation
Chemical reactions are fundamentally transformations in electron space, yet most machine learning approaches model them either through \textit{de novo} generation of product molecules or through heuristic graph edits that operate directly on molecular topology. We introduce MAELLE (\textbf{M}ech\textbf{A}nistic \textbf{E}dit f\textbf{L}ow-matching on e\textbf{L}ectron r\textbf{E}arrangements), which instead models re
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit
Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentation) evolve freely, while keeping execution (stateful, audited work) traceable. A single trust domain does not satisfy both cheaply. We present Persona-Execution Separation (PES): persona and execution reside in different trust domains, connected by a governed contract bridge. The persona is singly-home
Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners
Static scanners are increasingly used to identify executable or otherwise unsafe content in machine- learning artifacts, yet conventional evaluation metrics characterize only cases where a scanner yields a usable security judgment. We evaluate ModelScan, ModelAudit, and Fickling using a controlled, artifact-backed benchmark on a synthetic corpus of 170 Pickle and PyTorch focused artifacts across 145 specimen families
Currently used sepsis severity indices rely on fixed variables and weights established decades ago, which are coarsely discretized and calibrated to a cohort that no longer reflects contemporary critical care. No alternative learned directly from patient trajectories is in routine use. We conducted a retrospective two-cohort study on a total of 29,116 and 7,691 adult patients meeting Sepsis-3 criteria from two hospit
CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators
State-of-the-art action-conditioned video models are typically restricted to a single robot embodiment, preventing them from leveraging the vast corpus of heterogeneous video data that contains rich signals for learning generalizable physics. To bridge this gap, we introduce CLAP, a framework for cross-embodiment action-conditioned video generation capable of being trained on diverse, internet-scale videos across hum
How Language Models Organize and Structure Moral Knowledge
How do large language models (LLMs) organize moral knowledge? Models detect moral content broadly, but detection is a low bar. We ask whether they go further, distinguishing moral foundations from one another and organizing the relationships between them geometrically. We train six independent linear probes on open-weight language models, one per Moral Foundations Theory (MFT) category (care/harm, fair/cheat, lib/opp
Making Clinical Language Models Auditable: Concept-Guided Fine-Tuning for Robust Prediction
Clinical language models can achieve strong in-hospital accuracy yet fail under deployment shifts because they exploit note-specific artifacts (e.g., templates, separators, boilerplate) that do not reflect patient state. We propose CAST (Concept-guided Artifact Suppression Tuning), an SAE-based framework for auditable clinical text classification. CAST uses Sparse Autoencoders to expose sparse, human-auditable featur
LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics
Video carries the temporal structure of the physical world, yet learning representations from it has remained computationally expensive: prevailing self-supervised methods either prevent representation collapse through architectural asymmetries, coupling an exponential-moving-average target encoder, a stop-gradient, and a capacity-limited predictor, or circumvent it by reconstructing masked content in pixel space. We
Camera-derived remote photoplethysmography (rPPG) is commonly validated through endpoint accuracy, but endpoint performance does not establish whether other physiological properties of source contact photoplethysmography (PPG) remain preserved recording by recording. We evaluated property-specific PPG-to-rPPG recoverability on 655 recordings from the Multi-Domain Mobile Video Physiology Dataset using CHROM as a fixed
CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases
LLMs are increasingly able to answer complex questions about enterprise-scale document collections. But evaluation is hard: companies don't want to share internal communications, and synthetic datasets have been overly simple. We present CorporateBench (CB), a human-validated multi-task Q&A benchmark whose scale approaches the conditions LLMs encounter in corporate communication networks, with evaluation corpora
Joint-Embedding Predictive Architectures (JEPAs) for world modeling typically employ fixed-size Vision Transformer encoders that are over-provisioned for simple tasks and under-provisioned for complex ones, with significant redundancy across attention heads. We propose Successive Capacity Growth (SCG), a method that starts from a minimal encoder (1 head, 2 layers, 283K parameters) and grows incrementally in width (ad
Stageboost: Recommending Signals Based on Counterfactual Estimation
Signals are short textual or visual snippets displayed on the eBay View-Item (VI) page, providing additional, contextual information for users about the viewed item. The aim of displaying these signals is to facilitate intelligent purchase and to incentivize engagement. In this paper, we present a 2 stage xgboost based model that optimally populates the VI page with signals. This approach has shown a 0.08% lift in ov
KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations
Physics-integrated 3D Gaussian representations now allow reconstructed deformable objects to be simulated and rendered under explicit material models. Existing pipelines, however, assume that material parameters are known or manually specified, limiting their applicability when these parameters must be inferred from observed object dynamics. We propose KnockGS, an interaction-response PhysicalGS framework that estima
Sophistication in GenAI Use: Field Evidence from a Large Firm
We study how sophistication in generative AI (genAI) use varies among the back-office workforce of a large firm. Using proprietary data, we observe 713,564 employee prompts and their corresponding large language model responses from nearly 4,000 back-office employees across 15 functional areas over eight months in 2025. We document three main findings. First, senior employees exhibit more sophisticated genAI use, con
RCMN: Understanding Misleadingness in Influential Public Discourse
Influential public discourse shapes public beliefs and can also mislead, not only through what is stated, but also through how information is framed, omitted, contextualised, and communicated. Yet less research has focused on how such misleadingness arises and shapes the interpretations formed by readers. To address this gap, we introduce Reader-Centric Misleadingness Understanding (RCMN), a framework that operationa
PAWBench: How Far Are We from Probabilistically Aligned World Modeling?
Recent video generation models are increasingly framed as world models. Many physical processes can unfold in more than one valid way. Therefore, a world model should reproduce not only a plausible trajectory, but also the distribution of possible behaviors under the same initial observation and action. We call this distribution-level requirement probabilistic alignment. However, existing evaluations largely assess i
Not All Eval-Awareness Is Equal: Capabilities Framing Predicts Compliance
Steering interventions targeting eval-awareness, a model's recognition that it is being tested, are increasingly used in safety evaluation pipelines, where evaluation-awareness is treated as a single quantity to be suppressed. We show that verbalized eval-awareness in chain-of-thought can be identified as capabilities-flavored ("the user is testing my ability to follow instructions"), safety-flavored ("the user is te
Verify Smarter, Evolve Further: Efficient Harness Evolution through Behavior-Aware Verification
Agent harnesses shape how language-model agents use instructions, tools, and runtime components, but adapting these harnesses requires costly verification. Existing propose-and-verify methods typically score every candidate on a fixed task set, wasting rollouts on unrelated behaviors and allowing aggregate scores to obscure specific regressions. We introduce HarnessLens, a budget-aware framework for automated harness
Audits of LLM judges certify a bias by contrasting matched conditions, and the strongest designs difference twice: a within-item contrast between two candidate responses, differenced again across a manipulated attribute, read off a bounded rating scale. We show that this endpoint is not identified on the scale that reports it. Each term of the double difference is censored by its own share, so the observed statistic
LLMs Can Design Near-Optimal OR Algorithms
We ask whether large language models (LLMs) can design effective algorithms for well-specified operations research (OR) problems. We study inventory control, queueing network control, and assortment optimization. We evaluate two levels of LLM use: at level 1, the model receives one problem instance and returns a solution for that instance; at level 2, it receives only the problem class description and broad parameter
TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection
Most single-stage 3D object detectors complete different tasks with the same extracted features. Nevertheless, it is impossible to project features into a common space that is adaptive for all the tasks. We present a novel task-aware deformable prediction (TADP) method for single-stage 3D object detection to solve this problem. Firstly, a triple feature refinement aggregation module is designed to extract three-level
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 | 11.6% (116) | 5.1% (51) | 72.73% (80) |
| llms.txt (apex domain) | 9.2% (92) | 4.3% (43) | 58.18% (64) |
| llms.txt (docs subdomain) | 3.8% (38) | 1% (10) | 39.09% (43) |
| .well-known/mcp.json | 0.6% (6) | 0.3% (3) | 7.27% (8) |
| .well-known/agents.txt | 0.2% (2) | 0.1% (1) | 0% (0) |
| ai.txt | 0.1% (1) | 0.1% (1) | 0% (0) |
| ai-plugin.json (deprecated) | 0.6% (6) | 0.1% (1) | 0.91% (1) |
Notable events recorded on this day and month across all years.