Tootfinder

Wbrew wszelkiemu prawdopodobieństwu, mnie też zdarza się zaszaleć i pozwolić sobie na trochę adrenaliny. Na przykład dzisiaj zboczyłem ze zmapowanej drogi i sprawdzałem nową, mając tylko 10 minut zapasu i powierzchowny rzut oka na mapę lotniczą.

Sharp Large Deviations and Gibbs Conditioning for Threshold Models in Portfolio Credit Risk
Fengnan Deng, Anand N. Vidyashankar, Jeffrey F. Collamore
https://arxiv.org/abs/2509.19151

Sharp Large Deviations and Gibbs Conditioning for Threshold Models in Portfolio Credit Risk
We obtain sharp large deviation estimates for exceedance probabilities in dependent triangular array threshold models with a diverging number of latent factors. The prefactors quantify how latent-factor dependence and tail geometry enter at leading order, yielding three regimes: Gaussian or exponential-power tails produce polylogarithmic refinements of the Bahadur-Rao $n^{-1/2}$ law; regularly varying tails yield index-driven polynomial scaling; and bounded-support (endpoint) cases lead to an $…

Video by UC Berkeley Prof. Hany Farid on tools to detect if an image is made by AI, and why that's important. Well worth the 12 minutes to watch - he's a fantastic lecturer.
https://www.youtube.com/watch?v=q5_PrTvNypY

PeerTube is a decentralized alternative to YouTube
that doesn't believe in harvesting user data and pushing people into echo chambers via a proprietary algorithm.
Built on open standards and federation,
it lets communities host and share video without depending on a central server.
https://news.itsfoss.com/peertube-7…

Decentralized YouTube Alternative Adds Live Streame Scheduling Option in Latest Release
Also adds multilingual emails, improved admin tools, and session management.

PrediPrune: Reducing Verification Overhead in Souper with Machine Learning Driven Pruning
Ange-Thierry Ishimwe, Raghuveer Shivakumar, Heewoo Kim, Tamara Lehman, Joseph Izraelevitz
https://arxiv.org/abs/2509.16497

PrediPrune: Reducing Verification Overhead in Souper with Machine Learning Driven Pruning
Souper is a powerful enumerative superoptimizer that enhances the runtime performance of programs by optimizing LLVM intermediate representation (IR) code. However, its verification process, which relies on a computationally expensive SMT solver to validate optimization candidates, must explore a large search space. This large search space makes the verification process particularly expensive, increasing the burden to incorporate Souper into compilation tools. We propose PrediPrune, a stochasti…

Source: Fox has officially closed its upfront discussions, reaching $2B for core sports properties, excluding the World Cup, for the first time (Saleah Blancaflor/Adweek)
https://www.adweek.com/convergent-tv/fox-wraps-upfront-2-billion-sports-properties/…

Fox Wraps Upfront, Reaches $2 Billion for Core Sports Properties
Fox closed its upfront talks with double-digit volume growth across its portfolio.

Tenure Under Pressure: Simulating the Disruptive Effects of AI on Academic Publishing
Shan Jiang
https://arxiv.org/abs/2509.16925 https://arxiv.org/pdf/250…

Tenure Under Pressure: Simulating the Disruptive Effects of AI on Academic Publishing
Generative artificial intelligence (AI) has begun to reshape academic publishing by enabling the rapid production of submission-ready manuscripts. While such tools promise to enhance productivity, they also raise concerns about overwhelming journal systems that have fixed acceptance capacities. This paper uses simulation modeling to investigate how AI-driven surges in submissions may affect desk rejection rates, review cycles, and faculty publication portfolios, with a focus on business school …

Flying Drones to Locate Cyber-Attackers in LoRaWAN Metropolitan Networks
Matteo Repetto, Enrico Cambiaso, Fabio Patrone, Sandro Zappatore
https://arxiv.org/abs/2509.15725 https:…

Flying Drones to Locate Cyber-Attackers in LoRaWAN Metropolitan Networks
Today, many critical services and industrial systems rely on wireless networks for interaction with the IoT, hence becoming vulnerable to a broad number of cyber-threats. While detecting this kind of attacks is not difficult with common cyber-security tools, and even trivial for jamming, finding their origin and identifying culprits is almost impossible today, yet indispensable to stop them, especially when attacks are generated with portable or self-made devices that continuously move around. …

TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
Tiantian Yang, Zhiqian Chen
https://arxiv.org/abs/2509.16301

TF-DWGNet: A Directed Weighted Graph Neural Network with Tensor Fusion for Multi-Omics Cancer Subtype Classification
Integration and analysis of multi-omics data provide valuable insights for cancer subtype classification. However, such data are inherently heterogeneous, high-dimensional, and exhibit complex intra- and inter-modality dependencies. Recent advances in graph neural networks (GNNs) offer powerful tools for modeling such structure. Yet, most existing methods rely on prior knowledge or predefined similarity networks to construct graphs, which are often undirected or unweighted, failing to capture t…