Tootfinder

Modeling Fair Play in Detective Stories with Language Models
Eitan Wagner, Renana Keydar, Omri Abend
https://arxiv.org/abs/2507.13841 https://

Modeling Fair Play in Detective Stories with Language Models
Effective storytelling relies on a delicate balance between meeting the reader's prior expectations and introducing unexpected developments. In the domain of detective fiction, this tension is known as fair play, which includes the implicit agreement between the writer and the reader as to the range of possible resolutions the mystery story may have. In this work, we present a probabilistic framework for detective fiction that allows us to define desired qualities. Using this framework, we form…

And if you really want to push candidates left, you do what the Black Panthers did. You provide the service you want to see so the government is forced to play catch up. If you build the world you want to see, you force the state to follow you in order to remain relevant. You make enforcing unjust laws impossible while providing the service to believe should exist. THAT is direct action that wins.
Edit: and that is also shit that will get you killed. If you want to stop fascism, you have to do the real work. Voting can only matter if it's part of a larger strategy to force the system to do what you want. Otherwise you're just legitimizing the managed resistance.

Jag har nu gått ner nästan 30 kg. Det är svårt att fatta, men jag kommer i mina gamla favoritträningskläder igen.
Det slår mig med jämna mellanrum, att jag ser så liten ut helt plötsligt. Nu är det inget plötsligt med det, det har tagit 20 månader. Men det är nu som först, när jag tar på mig kläder jag inte kunnat ha på tio år, som jag ser vad som hänt.
Hjärnan är en besynnerlig manick. Den reagerar som om det vore en överraskning att jag gått ner?

Magneto-Ionic Hardware Security Primitives: Embedding Data Protection at the Material Level
Irena Spasojevic, Federica Celegato, Alessandro Magni, Paola Tiberto, Jordi Sort
https://arxiv.org/abs/2507.14213

Magneto-Ionic Hardware Security Primitives: Embedding Data Protection at the Material Level
The Big Data revolution has heightened the demand for robust, energy-efficient security hardware capable of withstanding increasingly sophisticated cyber threats. Conventional encryption schemes, reliant on complex algorithms, are resource-intensive and remain vulnerable. To fortify sensitive information, society needs innovative anti-hacking and anti-counterfeiting technologies that exploit new materials and designs. Here, we present a magneto-ionic strategy for hardware-level security based o…

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation
Paul E. Calzada, Zahin Ibnat, Tanvir Rahman, Kamal Kandula, Danyu Lu, Sujan Kumar Saha, Farimah Farahmandi, Mark Tehranipoor
https://arxiv.org/abs/2507.13369

VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation
Large Language Models (LLMs) are gaining popularity for hardware design automation, particularly through Register Transfer Level (RTL) code generation. In this work, we examine the current literature on RTL generation using LLMs and identify key requirements for training and fine-tuning datasets. We construct a robust Verilog dataset through an automated three-pronged process involving database (DB) creation and management with PostgreSQL, data collection from code hosting sites like OpenCores …

Nonvanishing results for K\"ahler varieties
Andreas H\"oring, Vladimir Lazi\'c, Christian Lehn
https://arxiv.org/abs/2508.14634 https://arxiv…

Nonvanishing results for Kähler varieties
Nonvanishing theorems play a central role in birational geometry, since they derive geometric consequences from numerical information and constitute a crucial step towards abundance and semiampleness problems. General nonvanishing statements remain rare, especially in the Kähler setting. We present two types of nonvanishing results for compact Kähler varieties. First, on non-uniruled varieties with nonzero Euler-Poincaré characteristic, we prove nonvanishing for adjoint bundles of numerica…

Bills vs. Dolphins prediction: Can Miami pull upset or will Buffalo remain unbeaten?

https://www.cbssports.com/nfl/news/bills-vs-dolphins-prediction-thursday-night-football/

Form factors of composite branch-point twist operators in the sinh-Gordon model on a multi-sheeted Riemann surface: semiclassical limit
Michael Lashkevich, Amir Nesturov
https://arxiv.org/abs/2508.12878

Form factors of composite branch-point twist operators in the sinh-Gordon model on a multi-sheeted Riemann surface: semiclassical limit
Quantum sinh-Gordon model in 1+1 dimensions is one of the simplest and best-studied massive integrable relativistic quantum field theories. We consider this theory on a multi-sheeted Riemann surfaces with a flat metric, which can be seen as a pile of planes connected to each other along cut lines. The cut lines end at branch points, which are represented by a twist operator ${\cal T}_n.$ Operators of such kind are interesting in the framework of the problem of computing von Neumann and Renyi en…

Sad to see Trump Tariffs kill off a US-based small business that offers a unique product that works perfectly but will no longer be available because it’s now too costly to produce: the Starling Home hub that magically made your Google Nest devices play friendly with Apple Home and HomeKit. Will remain supported but no longer available for purchase because of tariffs. https://…

Starling Hub | Nest HomeKit Bridge | Complete Smart Home Control
Connect Nest to Apple HomeKit and AirPlay. Perfectly integrate Thermostat, Protect, Cameras, Speakers, Secure and Nest x Yale Lock with Home, iOS, Siri and other smart home devices and HomeKit apps.

Bridging the Synthetic-Real Gap: Supervised Domain Adaptation for Robust Spacecraft 6-DoF Pose Estimation
Inder Pal Singh, Nidhal Eddine Chenni, Abd El Rahman Shabayek, Arunkumar Rathinam, Djamila Aouada
https://arxiv.org/abs/2509.13792

Bridging the Synthetic-Real Gap: Supervised Domain Adaptation for Robust Spacecraft 6-DoF Pose Estimation
Spacecraft Pose Estimation (SPE) is a fundamental capability for autonomous space operations such as rendezvous, docking, and in-orbit servicing. Hybrid pipelines that combine object detection, keypoint regression, and Perspective-n-Point (PnP) solvers have recently achieved strong results on synthetic datasets, yet their performance deteriorates sharply on real or lab-generated imagery due to the persistent synthetic-to-real domain gap. Existing unsupervised domain adaptation approaches aim to…