Record 22092026 · captured 2026-09-23
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.
Cynthia Ann Crawford is an American model, actress, and television personality. One of the most popular supermodels of the 1980s and 1990s, she achieved a ubiquitous presence on magazine covers, runways, and fashion campaigns. She subsequently expanded into ac
Rande Gerber is an American businessman. He founded Gerber Group and co-founded tequila brand Casamigos with George Clooney and Mike Meldman, as well as nightlife companies Midnight Oil and Caliche Rum. His portfolio has included restaurants, bars, and lounges
Kaia Jordan Gerber is an American model and actress. After starring in a series of ad campaigns for fashion brands since debuting at Fashion Week in 2017, Gerber won Model of the Year at the British Fashion Awards in 2018. As an actress, she has appeared in su
.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
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 is the eighth live-action film of the Resident Evil film series, and serves as a reboot. The film
Presley Walker Gerber was an American model. He was the elder child of Cindy Crawford and Rande Gerber and the brother of model and actress Kaia Gerber. He began modeling as a teenager and later appeared in runway shows and advertising campaigns for several ma
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
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
Lanterns is an American superhero television series created by Chris Mundy, Damon Lindelof, and Tom King for HBO, based on the DC Comics Green Lantern characters Hal Jordan and John Stewart. It is the third television series in the DC Universe (DCU). It featur
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
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
"Gay bomb" is an informal term referring to a proposed non-lethal psychochemical weapon that was speculated by the United States Air Force in the 1990s. The concept involved dispersing sex pheromones to induce mutual sexual attraction among enemy soldiers, wit
Yom Kippur is the holiest day of the year in Judaism. It occurs annually on the 10th of Tishrei, in late September or early October.
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
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
Ella Beatty is an American actress and the daughter of Annette Bening and Warren Beatty.
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
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
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 310 seats.
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
Mohammed bin Rashid Al Maktoum
Sheikh Mohammed bin Rashid Al Maktoum is an Emirati politician and royal. He is the current ruler of Dubai and serves as the vice president and prime minister of the UAE. Mohammed succeeded his brother Maktoum bin Rashid Al Maktoum as UAE vice president, UAE p
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
Lewis James Pullman is an American actor and musician. He made his film debut opposite his father, Bill Pullman, in the western film The Ballad of Lefty Brown (2017). For his performance as Miles Miller in the neo-noir thriller film Bad Times at the El Royale
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.
The Bharatiya Nyaya Sanhita (BNS), 2023 is the official criminal code of India. It came into effect on 01-July-2024, after being passed by the Parliament in December-2023, replacing the colonial-era Indian Penal Code of 1860 (IPC).
Sheikh Ahmed bin Rashid Al Maktoum was an Emirati public official who was the Deputy Chairman of Dubai Police & Public Security, Group Chairman of A.R.M. Holding and Dubai Real Estate Centre and Chairman of the Al Wasl FC club located in Dubai.
The Bharatiya Sakshya Adhiniyam (BSA), 2023 is an act of the Parliament of India.
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
Studio Biederer was a French studio for erotic photography, managed by the Czech brothers Jacques Biederer and Charles Biederer.
What the people building things argued about, from Hacker News.
Papers submitted to arXiv cs.AI that day.
SpeakerMem-R1: Speaker-Centered Dual-Track Memory for Multi-Party Dialogue
Long-term conversational memory in multi-party settings requires more than retrieving relevant content from long-term conversations: it must distinguish who said what, whom each statement concerns, how individuals perceive one another, what information is shared by the group, and how states change over time. Recent studies on multi-party dialogue benchmarks show that existing general-purpose LLM memory systems tend t
CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Agents
Agents often work on complex problems that require millions of tokens of context, which necessitates compacting across sessions due to limited context windows. We develop CliffCompaction, an autocompaction technique that reduces cost by up to 50% under a bounded context while maintaining or improving performance on Terminal-Bench and achieving new levels of efficiency for test-time scaling and state-of-the-art result
SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving
We introduce SWE-Serve, a benchmark for evaluating agents on production inference engineering tasks. Implementing an inference feature can require coordinating multiple changes across the serving stack, including model support, runtime execution, and public APIs. Existing benchmarks provide limited coverage of production inference engineering: repository-level software engineering benchmarks do not target inference,
A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem
Agents using the Model Context Protocol (MCP) rely on semantic matching to select tools from third-party servers, exposing a semantic supply-chain risk through attacker-controlled metadata and outputs. We introduce A2M (Attraction-to-Manipulation), a two-stage black-box framework for hijacking MCP agents. The Attraction phase optimizes tool metadata to increase invocation probability; the Manipulation phase uses exec
Grow the Harness, Not the Context: From Strategy-Free Scaffolds to Reusable Specialist Agents
Large language model (LLM) agents often handle streams of related tasks, yet standard harnesses repeatedly ask the model to reconstruct the same control decisions inside each task's context. We study whether task feedback can instead turn recurring control into reusable executable code, while reserving LLM calls for task-specific semantic reasoning. We introduce Growing Harness, a failure-guided training paradigm tha
Typed decision models are built for settings where model outputs are consumed directly by software. Instead of generating free-form text, they return a decision over a predefined set of options. By construction, every output conforms to the required schema. Yet this guarantee does not tell us whether the model interprets the options as intended. We study Jev and two Jev-like models with open weights by changing how o
FleXray: Universal Clinical X-ray Segmentation
X-ray is medicine's most widely used imaging modality, yet remains among its least quantitative. Unlike volumetric modalities like CT or MRI, X-ray collapses 3D anatomy into a 2D projection, causing structures to overlap and anatomical boundaries to be ambiguous, even to experts. As a result, labeling X-ray databases for training general-purpose segmentation systems is impractical, leaving morphometric and functional
Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical Study and a Change-Aware Screen
Large language models (LLMs) are increasingly applied to the automated repair of C/C++ security vulnerabilities, and compile rate is a commonly reported proxy for progress: whether the generated patch compiles. We argue that compile rate is a scientifically unreliable metric for single-function vulnerability repair, and we support this with five controlled experiments over 203 vulnerable functions from Big-Vul, three
AI tools for digital product design now offer prompt-to-design capabilities, allowing designers and their non-designer colleagues to create prototypes through conversational workflows with large language models (LLMs). While these tools promise time savings, experimental evidence in product design remains limited compared with evidence from software engineering. We conducted a randomized controlled trial with 50 prod
The Sirens' Song: When Proximal Background Context Overshadows Distant Evidence
Long-context LLMs focus on retrieving distant evidence from extensive context, yet existing work has largely focused on overcoming distance alone. In this work, we identify the Proximity Trap, insufficient attention to distant evidence often arises less from distance itself than from cumulative competition with abundant, task-irrelevant proximal background. To address the Proximity Trap, we introduce LYRA (Long-conte
TraceVIC: Causal Reasoning over Code Evolution for Identifying Vulnerability-Inducing Commits
Software vulnerabilities are often discovered long after they are introduced, making it difficult to identify the vulnerability-inducing commit (VIC) responsible for introducing the underlying vulnerable condition. Existing VIC identification techniques largely rely on git blame to trace vulnerable code through revision history and use positional heuristics, such as selecting its earliest or most recent modification.
Train Where the Quantized Model Goes: On-Policy Distillation for Low-Bit Reasoning
Quantization-aware distillation (QAD) restores much of the short-form question-answering performance lost to sub-3-bit quantization, yet leaves mathematical and code reasoning substantially impaired. Long generations often degenerate into repetitive loops, exhausting the decoding budget without completing a solution. We trace this gap to quantization-amplified exposure bias: QAD trains on fixed corpus prefixes, while
Beyond Repeated Sampling: Learning Search Policies for LLM Reasoning
Large language models increasingly tackle hard reasoning problems by spending more test-time compute, yet the dominant strategy remains naive repeated sampling: draw many independent solutions and hope one is correct. Because such sampling explores only through local decoding noise, it tends to produce many near duplicate attempts rather than genuinely different ideas. We ask whether exploration can instead be steere
Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation
A coding agent must emit a valid tool call--a parseable invocation of a tool in the provided schema--before the harness can execute its chosen action. We study how local serving stacks affect this protocol step and show that measured outcomes can depend on the serving layer rather than model behavior alone. In Ollama, the default tools= request is gated per model by a static template flag: some models are accepted an
From Alignment to Access Control: A Framework for GenAI Policy Enforcement
Generative AI (GenAI) applications have flourished enabling users to chat with large language models, and to create agents to act on their behalf for a variety of tasks. The pace of development of capabilities in this field is incredibly fast with security and safety taking a back seat. Unfortunately, the slower pace at which security and safety mechanisms have evolved has led to real incidents. Policy enables the de
A Spectral Theory of Grokking: Weight Decay induces Feature Learning
In grokking an early fit to the training data separates from a much later improvement in generalization. During this delay, training can move from a fixed neural tangent kernel (NTK) regime to one in which task-relevant kernel eigendirections continue to evolve. We provide a quantitative theory for how this transition from lazy to rich learning can produce delayed generalization. For homogeneous networks trained with
The Delegation Blind Spot: Auditing Product Decisions from Agent Choices
Successful agent execution need not identify which future product improvement its user would value. We present a decision-specific audit that maps a declared observation channel and product-value contrast to compatible intervals and witness populations. Its foundations are established identification and decision theory; the contribution is an executable measurement workflow and a controlled study of its limits. A fro
Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models
The rapid capability gains of frontier language models are widely attributed to improved reasoning abilities, yet this cannot be verified as raw CoT traces in closed-source systems are hidden. By registering a simple custom tool through a standard API feature, we induce frontier models to externalize intermediate reasoning. Because these traces may reflect post-hoc rationalization rather than genuine reasoning, we fi
Greedy Decoding Is Not Precision-Invariant: Cross-Precision Output Divergence in LLM Inference
Greedy decoding from large language models is commonly treated as deterministic. We show it is not precision-invariant: the same model, prompt, and decoding algorithm produce different outputs in BF16 versus FP16 on identical hardware. Across our evaluations of six models (1.1B-7B parameters, four families; divergence additionally characterised at 12B) and three benchmarks, 49-100\% of prompts diverge; a single token
Towards Hierarchical GNNs for multi-grid power flow: generalization across operating scenarios
Hierarchical latent communication improves the generalization of a multi-grid power-flow model to new operating scenarios. The module exchanges information through two reduced graphs within a GENCO-based corrective network. We compare Kron-derived transports, a same-anchor Quotient construction and a flat backbone in preliminary trainings of 200 epochs on three grid topologies, with three initialization seeds per mod
Receptiveness, Not Sycophancy: Distinguishing Engagement from Deference in Language Models
A central concern with language models is sycophancy: their tendency to defer to users' views at the expense of independent substantive judgment. In parallel, work on social sycophancy has focused on behaviors such as validation and positivity that may signal inappropriate deference. Yet the markers of social sycophancy are also characteristic of conversational receptiveness, a construct from social psychology shown
Quantum-Aided Active Device Detection in Energy-Harvesting Symbiotic Radio Networks
Massive connectivity in next-generation networks demands energy- and spectrum-efficient solutions for large-scale Internet of Things (IoT) deployments. Symbiotic radio (SR) enables passive IoT devices to communicate by backscattering existing cellular transmissions. A key challenge in uplink SR is active device detection (ADD), which directly affects decoding reliability, interference management, and system throughpu
The vocabulary used to describe AI agents in governance contexts -- learning, memory, values, compliance, identity, trust -- is borrowed from psychological and organizational science, contributing to systematic failures in how organizations deploy, oversee, and hold agents accountable. This paper argues that the problem is not merely terminological but epistemological: psychological vocabulary carries an "invisible g
Neutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks
In wireless communication networks, many resource optimization problems are nondeterministic polynomial-time hard (NP-hard) due to their combinatorial nature and high computational complexity. Recently, neutral-atom-based quantum computing has emerged as a promising platform for efficiently solving such problems by leveraging quantum superposition and entanglement. However, its application to wireless communication o
JEV-as-a-Judge: Accept When Confident, Escalate When Unsure
LLM-as-a-judge enables evaluation across diverse tasks, but inference cost and confidence reliability become critical at scale. We study whether a decision-only judge can provide an economical first pass and identify when stronger evaluation is needed. Comparing jev-as-a-judge with sixteen generative and reward-model judges, with blinded human adjudication, we find it within three percentage points of a state-of-the-
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 | 11.8% (118) | 4.1% (41) | 72.73% (80) |
| llms.txt (apex domain) | 9.5% (95) | 3.3% (33) | 59.09% (65) |
| llms.txt (docs subdomain) | 3.9% (39) | 1% (10) | 45.45% (50) |
| .well-known/mcp.json | 0.6% (6) | 0.2% (2) | 8.18% (9) |
| .well-known/agents.txt | 0.3% (3) | 0.1% (1) | 0% (0) |
| ai.txt | 0.2% (2) | 0.1% (1) | 0% (0) |
| ai-plugin.json (deprecated) | 0.7% (7) | 0.1% (1) | 0.91% (1) |
Notable events recorded on this day and month across all years.