Tootfinder

Linux-Distribution AV Linux 25 alternativ mit Moksha-Desktopumgebung
Die Linux-Distribution AV Linux 25 bekommt alternativ Moksha-Desktop und aktualisiert die MX-Linux-Basis auf den Debian-Trixie-Stand.

NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids
Mohamad Chehade, Hao Zhu
https://arxiv.org/abs/2509.21668 https://

NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids
The rise of distributed energy resources (DERs) is reshaping modern distribution grids, introducing new challenges in attaining voltage stability under dynamic and decentralized operating conditions. This paper presents NEO-Grid, a unified learning-based framework for volt-var optimization (VVO) and volt-var control (VVC) that leverages neural network surrogates for power flow and deep equilibrium models (DEQs) for closed-loop control. Our method replaces traditional linear approximations with …

Predicting the distribution of yield-stress fluids in branched pipe manifolds
Elliott Sutton, Waldo Rosales Trujillo, Adam Kowalski, Cl\'audio P. Fonte, Anne Juel
https://arxiv.org/abs/2509.22192

Predicting the distribution of yield-stress fluids in branched pipe manifolds
We develop a one-dimensional network model to predict the steady-state distribution of yield-stress fluids in branched pipe manifolds under wall-slip conditions. The model accounts for major friction losses between junctions and incorporates wall slip through a power-law relation calibrated independently via capillary rheometry. Predictions from the model are validated against both bench-scale experiments and fully resolved computational fluid dynamics simulations, showing excellent agreement a…

General CoVaR Based on Entropy Pooling
Yuhong Xu, Xinyao Zhao
https://arxiv.org/abs/2509.21904 https://arxiv.org/pdf/2509.21904

General CoVaR Based on Entropy Pooling
We propose a general CoVaR framework that extends the traditional CoVaR by incorporating diverse expert views and information, such as asset moment characteristics, quantile insights, and perspectives on the relative loss distribution between two assets. To integrate these expert views effectively while minimizing deviations from the prior distribution, we employ the entropy pooling method to derive the posterior distribution, which in turn enables us to compute the general CoVaR. Assuming biva…

TIL: The French police, the Gendarmerie nationale, have their own Linux distribution
https://en.wikipedia.org/wiki/GendBuntu

GendBuntu - Wikipedia

YouTube TV signs a distribution deal with Bloomberg Media, adding Bloomberg TV , a live 24-hour news channel, and Bloomberg Originals (Todd Spangler/Variety)
https://variety.com/2025/tv/news/youtube-tv-adds-bloomberg-media-news-originals-c…

YouTube TV Adds Bloomberg TV+ and Bloomberg Originals Channels
YouTube TV is launching two channels from Bloomberg Media: Bloomberg TV+ with live 24-hour news and Bloomberg Originals with series and documentaries.

Kraken, the software arm of 🇬🇧 Octopus Energy, extends into distribution network territory. Essential Energy 🇦🇺 is the first DSO customer.
https://kraken.tech/press-releases/essential-energy-kraken-build-next-generation-network-billing

Capillarity in Stationary Random Granular Media: Distribution-Aware Screening and Quantitative Supercell Sizing
Christian Tantardini, Fernando Alonso-Marroquin
https://arxiv.org/abs/2509.21350

Capillarity in Stationary Random Granular Media: Distribution-Aware Screening and Quantitative Supercell Sizing
We develop a quantitative framework to determine the minimal periodic supercell required for representative simulations of capillarity-screened Darcy flow in stationary random, polydisperse granular media. The microstructure is characterized by two-point statistics (covariance and spectral density) that govern finite-size fluctuations. Capillarity is modeled as a screened, modified-Helmholtz problem with phase-dependent transport under periodic boundary conditions; periodic homogenization yield…

Bislang hatte ich aus reiner Bequemlichkeit (Gaming) immer noch Windows 11 auf dem Privatrechner (Dualboot), aber am Wochenende endlich Zeit gefunden, es runterzuwerfen. Bin aber vorsichtig damit, zu schreiben, was ich jetzt nutze, um nicht die dem Fediversum innewohnenden Nerds anzulocken, die schon bei der Erwähnung einer "falschen" Linux-Distribution Schnappatmung bekommen.

Designing Ethereum's Geographical (De)Centralization Beyond the Atlantic
Sen Yang, Burak \"Oz, Fei Wu, Fan Zhang
https://arxiv.org/abs/2509.21475 https://

Designing Ethereum's Geographical (De)Centralization Beyond the Atlantic
Decentralization has a geographic dimension that conventional metrics such as stake distribution overlook. Where validators run affects resilience to regional shocks (outages, disasters, government intervention) and fairness in reward access. Yet in permissionless systems, locations cannot be mandated, but they emerge from incentives. Today, Ethereum's validators cluster along the Atlantic (EU and U.S. East Coast), where latency is structurally favorable. This raises a key question: when some r…

I think my package is trying to hit all 6 boroughs before it arrives to my house.

[End of diatribe. We now return you to your regularly scheduled
programming...]
-- Larry Wall in Configure from the perl distribution

A look at the fight between NPR and the CPB over a $36M contract to operate a satellite distribution system for public radio stations (David Folkenflik/NPR)
https://www.npr.org/2025/10/27/nx-s1-5586147/npr-cpb-lawsuit-political-pressure

Writing unit tests for my random number generation library continues to be difficult. My tests are failing because the bias in the distribution exceeds my expectations, but I'm wondering whether I should just repeat the test more times and permit it to exceed expectations some of the time (as long as it does it symmetrically/rarely/etc. My gut tells me that second-order expectations aren't any better than first-order expectations, but another part of me disagrees.
Thinking more as I write this (writing is thinking): second-order tests can at least give me better info to work with towards fixing things I think! So maybe I'll invest in them.
#coding

On a variational problem for curves in Lie sphere geometry
Lorenzo Nicolodi
https://arxiv.org/abs/2509.22408 https://arxiv.org/pdf/2509.22408

On a variational problem for curves in Lie sphere geometry
Let $Λ$ be the unit tangent bundle of the unit 3-sphere acted on transitively by the contact group of Lie sphere transformations. We study the Lie sphere geometry of generic curves in $Λ$ which are everywhere transversal to the contact distribution of $Λ$. By the method of moving frames, we prove that such curves can be parametrized by a Lie-invariant parameter, the Lie arclength, and that in this parametrization they are uniquely determined, up to Lie sphere transformation, by four local in…

Study of $B_{c} \to J/\psi (a_1(1260), b_1(1235),a_2(1320), K_2^*(1430))$ in the perturbative QCD approach
Yun Zhao, Xian-Qiao Yu
https://arxiv.org/abs/2509.21779 https://

Study of $B_{c} \to J/ψ(a_1(1260), b_1(1235),a_2(1320), K_2^*(1430))$ in the perturbative QCD approach
Motivated by systematic observations of $B_c$ decays at LHCb, we analyze $B_c^+ \to J/ψ(A, T)$ decays (where $A$ denotes axial-vector mesons $a_1(1260)^+, b_1(1235)^+$, and $T$ denotes tensor mesons $a_2(1320)^+, K_2^*(1430)^+$) within the perturbative QCD (pQCD) factorization framework. Nonperturbative dynamics are regulated by light-cone distribution amplitudes (LCDAs), with endpoint divergences controlled via Sudakov suppression. Predictions yield branching ratios ranging from $10^{-3}$ to …

New Algorithmic Directions in Optimal Transport and Applications for Product Spaces
Salman Beigi, Omid Etesami, Mohammad Mahmoody, Amir Najafi
https://arxiv.org/abs/2509.21502 h…

New Algorithmic Directions in Optimal Transport and Applications for Product Spaces
We study optimal transport between two high-dimensional distributions $μ,ν$ in $R^n$ from an algorithmic perspective: given $x \sim μ$, find a close $y \sim ν$ in $poly(n)$ time, where $n$ is the dimension of $x,y$. Thus, running time depends on the dimension rather than the full representation size of $μ,ν$. Our main result is a general algorithm for transporting any product distribution $μ$ to any $ν$ with cost $Δ+ δ$ under $\ell_p^p$, where $Δ$ is the Knothe-Rosenblatt transport c…

Exploring the Early Universe with Deep Learning
Emmanuel de Salis, Massimo De Santis, Davide Piras, Sambit K. Giri, Michele Bianco, Nicolas Cerardi, Philipp Denzel, Merve Selcuk-Simsek, Kelley M. Hess, M. Carmen Toribio, Franz Kirsten, Hatem Ghorbel
https://arxiv.org/abs/2509.22018

Exploring the Early Universe with Deep Learning
Hydrogen is the most abundant element in our Universe. The first generation of stars and galaxies produced photons that ionized hydrogen gas, driving a cosmological event known as the Epoch of Reionization (EoR). The upcoming Square Kilometre Array Observatory (SKAO) will map the distribution of neutral hydrogen during this era, aiding in the study of the properties of these first-generation objects. Extracting astrophysical information will be challenging, as SKAO will produce a tremendous amo…

The Draco Dwarf Spheroidal Galaxy in the First Year of DESI Data
J. Ding, C. Rockosi, Ting S. Li, S. E. Koposov, A. H. Riley, W. Wang, A. P. Cooper, N. Kizhuprakkat, M. Lambert, G. E. Medina, N. Sandford, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, P. Doel, J. E. Forero-Romero, E. Gaztanaga, S. Gontcho A Gontcho, G. Gutierrez, J. Guy, M. Ishak, R. Kehoe, T. Kisner, A. Kremin, O. Lahav, M. Landriau, L. Le Guillou, A. Meisner, R. Miquel, J. Moustakas, F. …

The Draco Dwarf Spheroidal Galaxy in the First Year of DESI Data
We investigate the spatial distribution, kinematics, and metallicity of stars in the Draco dwarf spheroidal galaxy using data from the Dark Energy Spectroscopic Instrument (DESI). We identify 155 high probability members of Draco using line of sight velocity and metallicity information derived from DESI spectroscopy along with {\it Gaia} DR3 proper motions. We find a mean line of sight velocity of $ -290.62\pm0.80$ km s$^{-1}$ with dispersion = $9.57^{+0.66}_{-0.62}$ km s$^{-1}$ and mean metall…

halox: Dark matter halo properties and large-scale structure calculations using JAX
Florian K\'eruzor\'e
https://arxiv.org/abs/2509.22478 https://a…

halox: Dark matter halo properties and large-scale structure calculations using JAX
Dark matter halos are fundamental structures in cosmology, forming the gravitational potential wells hosting galaxies and clusters of galaxies. Their properties and statistical distribution (including the halo mass function) are invaluable tools to infer the fundamental properties of the Universe. The \texttt{halox} package is a JAX-powered Python library enabling differentiable and accelerated computations of key properties of dark matter halos, and of the halo mass function. The automatic dif…

Sliced Space-filling Design with Mixtures
Zikang Xiong, Hong Qin, Yuning Huang, Jianhui Ning
https://arxiv.org/abs/2509.21827 https://arxiv.org/pdf/2509.21…

Sliced Space-filling Design with Mixtures
In this paper, we proposes the construction methods of sliced space-filling design when the quantitative factors are mixture components. Leveraging the representative points framework for distribution and energy distance decomposition theory, this paper proposes three methods for constructing sliced representative points and establishes their distributional convergence. Furthermore, one-shot and sequential algorithms for generating sliced space-filling mixture design for experiments with proces…

Improved universality bounds for directed polymers in the intermediate disorder regime
Pranay Agarwal
https://arxiv.org/abs/2509.21453 https://arxiv.org/pd…

Improved universality bounds for directed polymers in the intermediate disorder regime
We prove universality of Tracy-Widom GUE fluctuations for directed polymers in $1+1$ dimensions in the intermediate disorder regime. Building on the Lindeberg replacement method of arXiv:2304.04871, we refine estimates for the measure of steep paths using probabilistic arguments. Our result extends the admissible range of the inverse temperature scaling parameter $β= n^{-α}$ to all $α\in (2/(3K+11), 1/4)$, provided the weights match $K$ moments with the log-Gamma distribution. For a general …

https://booksinsardinia.it/?ver=en

Real Space Imaging of Spin Scattering in Chirality-Induced Spin Selectivity
Jaehyun Lee, Sang-hyuk Lee, Uiseok Jeong, Daryll J. C. Dalayoan, Soobeom Shin, Hu Young Jeong, Hosub Jin, Binghai Yan, Noejung Park, Seon Namgung
https://arxiv.org/abs/2509.21558

Real Space Imaging of Spin Scattering in Chirality-Induced Spin Selectivity
The interaction between electron spin and molecular chirality plays a fundamental role in quantum phenomena, with significant implications for spintronics and quantum computing. The chirality-induced spin selectivity (CISS) effect, where chiral materials preferentially transmit electrons of a particular spin, has sparked intense interest and debate regarding its underlying mechanism. Despite extensive research, the spatial distribution of spin polarization in chiral systems, the key evidence to…

Factor-Based Conditional Diffusion Model for Portfolio Optimization
Xuefeng Gao, Mengying He, Xuedong He
https://arxiv.org/abs/2509.22088 https://arxiv.org…

Factor-Based Conditional Diffusion Model for Portfolio Optimization
We propose a novel conditional diffusion model for portfolio optimization that learns the cross-sectional distribution of next-day stock returns conditioned on asset-specific factors. The model builds on the Diffusion Transformer with token-wise conditioning, linking each asset's return to its own factor vector while capturing cross-asset dependencies. Generated return samples are used for daily mean-variance optimization under realistic constraints. Empirical results on the Chinese A-share mar…

"If you’re serious about Linux, you’re unlikely to fall for the Omarchy sales pitch. However, if you’re an inexperienced user who’s heard about Omarchy from a tech-influencer raving about it, I strongly recommend starting your Linux journey elsewhere, with a distribution that actually prioritizes your security and system integrity, and is built and maintained by people who live and breathe systems, and especially Linux."

Enhanced Generative Machine Listener
Vishnu Raj, Gouthaman KV, Shiv Gehlot, Lars Villemoes, Arijit Biswas
https://arxiv.org/abs/2509.21463 https://arxiv.or…

Enhanced Generative Machine Listener
We present GMLv2, a reference-based model designed for the prediction of subjective audio quality as measured by MUSHRA scores. GMLv2 introduces a Beta distribution-based loss to model the listener ratings and incorporates additional neural audio coding (NAC) subjective datasets to extend its generalization and applicability. Extensive evaluations on diverse testset demonstrate that proposed GMLv2 consistently outperforms widely used metrics, such as PEAQ and ViSQOL, both in terms of correlatio…

The influence of grain crushing and pore collapse on the formation of faults
N. A. Collins-Craft, I. Stefanou, J. Sulem, I. Einav
https://arxiv.org/abs/2509.22477 https://

The influence of grain crushing and pore collapse on the formation of faults
During an earthquake, slip occurs in a localised shear zone that features a heavily granulated fault core that can be characterised as a shear band. We study the formation of this fault core in a granular rock such as sandstone by developing a model of crushable granular media within the framework of Breakage Mechanics. This model accounts for the evolution of the grain size distribution, while also accounting for the co-evolution of the solid fraction. An enrichment with the Cosserat continuum…

Conditional predictive inference with $L^k$-coverage control
Yonghoon Lee, Zhimei Ren
https://arxiv.org/abs/2509.21691 https://arxiv.org/pdf/2509.21691

Conditional predictive inference with $L^k$-coverage control
We consider the problem of distribution-free conditional predictive inference. Prior work has established that achieving exact finite-sample control of conditional coverage without distributional assumptions is impossible, in the sense that it necessarily results in trivial prediction sets. While several lines of work have proposed methods targeting relaxed notions of conditional coverage guarantee, the inherent difficulty of the problem typically leads such methods to offer only approximate gu…

Internal memo: TikTok plans leadership changes, moving two teams under ByteDance veteran Fiona Zhi and undoing earlier efforts to empower Western executives (Juro Osawa/The Information)
https://www.theinformation.com/articles/tiktok-revamps-m…

TikTok Empowers Chinese Executives in Management Revamp
TikTok is implementing drastic leadership changes that pull the video app closer to the orbit of its parent ByteDance, just as Washington and Beijing are on the cusp of reaching a deal over the app’s future in the U.S. TikTok’s global content and distribution partnership teams, both led by ...

The hottest game of Christmas 1992 now running natively on the Linux distribution of the future. https://github.com/dwf/dotfiles/commit/300f09812a948f222efb8afd72a9b15ea7b8bc07

What is a Linux distribution?
Good question.
FreeBSD – up to position 26 (seen in this Linux Renaissance video) is:
― a distro
― a talking point
― a gift.
<https://youtu.be/G5lUyt3pM90?si=yRDYHcOMUaOpkp0o&t=75>

High-Resolution Optical Correlation-Domain Reflectometry with 100-km Measurement Range
Takaki Kiyozumi, Soshi Yoshida, Yuta Higa, Keisuke Motoda, Sze Yun Set, Shinji Yamashita, Yosuke Mizuno
https://arxiv.org/abs/2511.18400 https://arxiv.org/pdf/2511.18400 https://arxiv.org/html/2511.18400
arXiv:2511.18400v1 Announce Type: new
Abstract: In the maintenance of optical fiber networks, there is a growing demand for high-precision measurement of optical loss distribution and fault locations over long distances. In this study, we propose an OCDR method incorporating periodic pseudo-random modulation (PPRM), and demonstrate that it enables the acquisition of loss distribution based on Rayleigh scattering and the positions of reflection points in an approximately 100-km optical fiber, with a spatial resolution of about 19 cm and a measurement time of about 20 seconds.
toXiv_bot_toot

I actually maintain a list of #Linux distributions that I bet you've never heard of, but still receive regular updates:
- https://paldo.org
paldo is a Upkg driven GNU/Linux distribution. It's kind of a mix o…

Moody Urbanity - Metro Consistency 📌
情绪化城市 - 都市质地 📌
📷 Pentax MX
🎞️ Orwo Wolfen P400
#filmphotography #Photography #blackandwhite

FORWARD: A Feasible Radial Reconfiguration Algorithm for Multi-Source Distribution Networks
Joan Vendrell Gallart, Russell Bent, Solmaz Kia
https://arxiv.org/abs/2510.08785 http…

FORWARD: A Feasible Radial Reconfiguration Algorithm for Multi-Source Distribution Networks
This paper considers an optimal radial reconfiguration problem in multi-source distribution networks, where the goal is to find a radial configuration that minimizes quadratic distribution costs while ensuring all sink demands are met. This problem arises in critical infrastructure systems such as power distribution, water networks, and gas distribution, where radial configurations are essential for operational safety and efficiency. Optimal solution for this problem is known to be NP-hard. In …

Debris disks and their properties with the Habitable Worlds Observatory
Isabel Rebollido, Yasuhiro Hasegawa, Meredith MacGregor, Bin Ren, Mark Booth, Jonathan Marshall, Courtney Dressing, Patricia Luppe
https://arxiv.org/abs/2509.21407

Debris disks and their properties with the Habitable Worlds Observatory
The study of the last stages of planet formation, also known as debris disks, is fundamental to place constrains on the formation of planetary sized bodies. Debris disks are composed of dust and occasionally small amounts of gas, both released through dynamical interactions of small rocky bodies and dust particles, such as collisions and evaporation. The distribution of the dust can reveal the presence of forming planets and its composition can directly trace that of comets, asteroids and even …

Can't run a signal proxy because the distribution media is docker :(
https://github.com/signalapp/Signal-TLS-Proxy

GitHub - signalapp/Signal-TLS-Proxy
Contribute to signalapp/Signal-TLS-Proxy development by creating an account on GitHub.

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Wissam Salhab, Darine Ameyed, Hamid Mcheick, Fehmi Jaafar
https://arxiv.org/abs/2510.12713

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Robustness in AI systems refers to their ability to maintain reliable and accurate performance under various conditions, including out-of-distribution (OOD) samples, adversarial attacks, and environmental changes. This is crucial in safety-critical systems, such as autonomous vehicles, transportation, or healthcare, where malfunctions could have severe consequences. This paper proposes an approach to improve OOD detection without the need of labeled data, thereby increasing the AI systems' robu…

The dream of safe C/C code is here.
I have been following this development, and I am in awe at how much has been achieved, now available as a package:
https://fil-c.org/install_optfil
You can get drunk on the details here:

On Cryptography and Distribution Verification, with Applications to Quantum Advantage
Bruno Cavalar, Eli Goldin, Matthew Gray, Taiga Hiroka, Tomoyuki Morimae
https://arxiv.org/abs/2510.05028

On Cryptography and Distribution Verification, with Applications to Quantum Advantage
One of the most fundamental problems in the field of hypothesis testing is the identity testing problem: whether samples from some unknown distribution $\mathcal{G}$ are actually from some explicit distribution $\mathcal{D}$. It is known that when the distribution $\mathcal{D}$ has support $[N]$, the optimal sample complexity for the identity testing problem is roughly $O(\sqrt{N})$. However, many distributions of interest, including those which can be sampled efficiently, have exponential supp…

Locally Optimal Private Sampling: Beyond the Global Minimax
Hrad Ghoukasian, Bonwoo Lee, Shahab Asoodeh
https://arxiv.org/abs/2510.09485 https://arxiv.org/…

Locally Optimal Private Sampling: Beyond the Global Minimax
We study the problem of sampling from a distribution under local differential privacy (LDP). Given a private distribution $P \in \mathcal{P}$, the goal is to generate a single sample from a distribution that remains close to $P$ in $f$-divergence while satisfying the constraints of LDP. This task captures the fundamental challenge of producing realistic-looking data under strong privacy guarantees. While prior work by Park et al. (NeurIPS'24) focuses on global minimax-optimality across a class …

»LXD-Fork erhält mit IncusOS seine eigene Distribution«
Oha… Erst jetzt entdeckt und danke @… für den Artikel. Sichere Server zu betreiben ist eben ein eigenes Thema für sich und mMn kümmern sich die wenigsten (kleinen/mittleren) Unternehmen ernsthaft darum. Sind dann aber überrascht so wie geschockt wenn die "gehackt" werden.
🛡️

LXD-Fork erhält mit IncusOS seine eigene Distribution
IncusOS ist ein modernes, unveränderliches Betriebssystem auf der Basis von Debian 13 »Trixie«, das ausschließlich für den sicheren und zuverlässigen Betrieb…

Position Grades: Shocking revelations in Cowboys' snap distribution for Week 11 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/11/18/snap-counts-position-grades-cowboys-week-11-raiders/8733744…

The most up to date (according to Repology) Linux distro T2 Linux (https://t2linux.com/) will come out with a prosumer image before the end of this year. It will be KDE based and Rene Rebe and his team are doing a total cleanup of the code. Having done a 1000 hours already. It is so much fun to watch him. What a dedicati…

If you use #Linux, you should check out one of my favorite niche distributions paldo. paldo is a Upkg driven GNU/Linux distribution.
You can learn more at https://paldo.org

I am trying to reply to a topic on a forum about what can be included in The Movie Database (as opposed to IMDb) and it is getting flagged, which is annoying since the last post includes this nonsensical claim:
> Distribution/release is an essential fact about the existance of a movie- a movie has to have some type of distribution/release (otherwise the movie literally doesnt exist).
I thought I might be hitting filters because I mentioned the name of a documentary about The …

Good things always come in 3s: trimodality in the binary black-hole chirp-mass distribution supports bimodal black-hole formation
Reinhold Willcox, Fabian R. N. Schneider, Eva Laplace, Philipp Podsiadlowski, Kiril Maltsev, Ilya Mandel, Pablo Marchant, Hugues Sana, Tjonnie G. F. Li, Thomas Hertog
https://arxiv.org/abs/2510.07573

Good things always come in 3s: trimodality in the binary black-hole chirp-mass distribution supports bimodal black-hole formation
The latest GWTC-4 release from the LIGO-Virgo-KAGRA (LVK) collaboration nearly doubles the known population of double compact object mergers and reveals a new trimodal structure in the chirp-mass distribution of merging binary black holes (BBHs) below 30 Msun. Recent detailed stellar evolution models show that features in the pre-collapse cores of massive stars produce a bimodal black hole (BH) mass distribution, which naturally extends to a trimodal BBH chirp-mass distribution. Both distributi…

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis
Xiaoyan Kui, Qianmu Xiao, Qqinsong Li, Zexin Ji, JIelin Zhang, Beiji Zou
https://arxiv.org/abs/2510.02970 https://

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis
Separating shared and independent features is crucial for multi-phase contrast-enhanced (CE) MRI synthesis. However, existing methods use deep autoencoder generators with low parameter efficiency and lack interpretable training strategies. In this paper, we propose Flip Distribution Alignment Variational Autoencoder (FDA-VAE), a lightweight feature-decoupled VAE model for multi-phase CE MRI synthesis. Our method encodes input and target images into two latent distributions that are symmetric co…

A nonequilibrium distribution for stochastic thermodynamics
Jean-Luc Garden
https://arxiv.org/abs/2510.08315 https://arxiv.org/pdf/2510.08315

A nonequilibrium distribution for stochastic thermodynamics
The canonical distribution of Gibbs is extended to the case of systems outside equilibrium. The distribution of probabilities of a discrete energy levels system is used to provide a microscopic definition of work, along with a microscopic definition of the uncompensated heat of Clausius involved in nonequilibrium processes. The later is related to the presence of non-conservatives forces with regards to the variation of the external parameters. This new framework is used to investigate the none…

What Americans die from
VS
What the news reports on
https://ourworldindata.org/does-the-news-reflect-what-we-die-from

China's efforts to slow land degradation and climate change
by planting trees and restoring grasslands
have shifted water around the country in huge, unforeseen ways, new research shows.
Between 2001 and 2020, changes in vegetation cover reduced the amount of fresh water available for humans and ecosystems in the eastern monsoon region and northwestern arid region,
which together make up 74% of China's land area, according to a study published Oct. 4 in the jo…

China has planted so many trees it's changed the entire country's water distribution
Huge "regreening" efforts in China over the past few decades have activated the country's water cycle and moved water in ways that scientists are just now starting to understand.

So if your software is not a thing people have already written a lot of times "AI" can't help doing it?
I thought for coding it was supposed to be super capable now?

Further Perspectives on the Intersection Distribution
Sophie Huczynska, Lukas Klawuhn, Maura B. Paterson
https://arxiv.org/abs/2510.04675 https://arxiv.org…

Further Perspectives on the Intersection Distribution
The concepts of intersection distribution and non-hitting index were recently introduced by Li and Pott, and offer a new way to classify the behaviour of finite field polynomials. They have both an algebraic and geometric interpretation: via the intersection of a polynomial $f$ with a set of lines, and via a $(q+1)$-set $S_f$ in $\mathrm{PG}(2,q)$ possessing an internal nucleus. In this paper, we build on these ideas: we prove novel geometric results (particularly on the relationship between in…

Scepticism is natural. I wonder …
Tachyum Delivers a Release Candidate of its Prodigy Software Distribution Package Supporting 4x256 Cores
"… The company’s software distribution package combines key advancements to deliver optimal performance for Prodigy. Notable updates to RC1 include the inclusion of GCC 14.2, Linux 6.12, LLVM 19, FreeBSD 14.1 and QEMU 9.11. …"
―

My post traveling through the #Fediverse got another push over the weekend (thx @…), motivating me to have another look. And surprise: After adding the software of multiple instances,

Local distribution of rational points in flag varieties
Zhizhong Huang, Nicolas de Saxc\'e
https://arxiv.org/abs/2510.09954 https://arxiv.org/pdf/2510.…

Local distribution of rational points in flag varieties
Given a flag variety $X$ defined over $\mathbb{Q}$ and a point $x$ in $X(\mathbb{R})$, we study approximations to $x$ by points $v$ in $X(\mathbb{Q})$, and show that, with an appropriate rescaling, those approximations equidistribute when $x$ is chosen randomly according to a Lebesgue measure on $X(\mathbb{R})$, or when $x$ is defined over $\mathbb{Q}$ and satisfies some non-degeneracy condition.

How the Cat Distribution System Works
https://yewtu.be/watch?v=6Roq-SRAas8

A lawyer says 55 Chinese iPhone and iPad users filed an antitrust complaint in China alleging Apple abuses its market dominance by restricting app distribution (Reuters)
https://www.reuters.com/sustainability/boa

Explanation of the Mass Distribution of Binary Black Hole Mergers
Lei Li, Guoliang Lv, Chunhua Zhu, Sufen Guo, Hongwei Ge, Weimin Gu, Zhuowen Li, Xiaolong He
https://arxiv.org/abs/2510.08231

Explanation of the Mass Distribution of Binary Black Hole Mergers
Gravitational wave detectors are observing an increasing number of binary black hole (BBH) mergers, revealing a bimodal mass distribution of BBHs, which hints at diverse formation histories for these systems. Using the rapid binary population synthesis code MOBSE, we simulate a series of population synthesis models that include chemically homogeneous evolution (CHE). By considering metallicity-specific star formation and selection effects, we compare the intrinsic merger rates and detection rat…

"For ideological reasons I'd like for my CPU to be faulty and known insecure and also for nobody to ever be able to fix that for me, as well as probably several other parts of my computer. Is there any Linux distribution that helps me achieve that?"
Sure!
https://blog.josefs…

A Decoy-like Protocol for Quantum Key Distribution: Enhancing the Performance with Imperfect Single Photon Sources
Chanaprom Cholsuk, Furkan A\u{g}larc{\i}, Daniel K. L. Oi, Serkan Ate\c{s}, Tobias Vogl
https://arxiv.org/abs/2510.09454

A Decoy-like Protocol for Quantum Key Distribution: Enhancing the Performance with Imperfect Single Photon Sources
Quantum key distribution (QKD) relies on single photon sources (SPSs), e.g. from solid-state systems, as flying qubits, where security strongly requires sub-Poissonian photon statistics with low second-order correlation values (\$g^{(2)}(0)\$). However, achieving such low \$g^{(2)}(0)\$ remains experimentally challenging. We therefore propose a decoy-like QKD protocol that relaxes this constraint while maintaining security. This enables the use of many SPSs with \$g^{(2)}(0) > \$0.1, routinely …

Underground Power Distribution System Restoration Using Inverter Based Resources
Wenlong Shi, Hongyi Li, Zhaoyu Wang
https://arxiv.org/abs/2510.08356 https://

Underground Power Distribution System Restoration Using Inverter Based Resources
Underground power distribution systems (PDSs) are increasingly deployed in urban areas. The integration of smart devices including smart switchgears, pad-mounted distribution transformers and inverter-based resources (IBRs) enhance system resilience, however simultaneously introducing unique challenges. The challenges include inrush currents caused by trapped charges in underground cables, ferroresonance in distribution transformers during energization, and three-phase load imbalance resulting …

Hi #Linux, ever heard of https://paldo.org?
paldo is a Upkg driven GNU/Linux distribution. It's kind of a mix of a source and a binary distribution. Even though it builds packages like a source distribution it provi…

The value of storage in electricity distribution: The role of storage
Dirk Lauinger, Deepjyoti Deka, Sungho Shin
https://arxiv.org/abs/2510.12435 https://a…

The value of storage in electricity distribution: The role of storage
Electricity distribution companies deploy battery storage to defer grid upgrades by reducing peak demand. In deregulated jurisdictions, such storage often sits idle because regulatory constraints bar participation in electricity markets. Here, we develop an optimization framework that, to our knowledge, provides the first formal model of market participation constraints within storage investment and operation planning. Applying the framework to a Massachusetts case study, we find that market pa…

As part of an ongoing effort to keep you, the Fortune reader, abreast of
the valuable information that daily crosses the USENET, Fortune presents:
News articles that answer *your* questions, #1:
Newsgroups: comp.sources.d
Subject: how do I run C code received from sources
Keywords: C sources
Distribution: na
I do not know how to run the C programs that are posted in the
sources newsgroup. I save the files, edit them to remove the
header…

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
Yuchen Zhu, Wei Guo, Jaemoo Choi, Petr Molodyk, Bo Yuan, Molei Tao, Yongxin Chen
https://arxiv.org/abs/2510.08233

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
Diffusion large language models (dLLMs) are promising alternatives to autoregressive large language models (AR-LLMs), as they potentially allow higher inference throughput. Reinforcement learning (RL) is a crucial component for dLLMs to achieve comparable performance with AR-LLMs on important tasks, such as reasoning. However, RL algorithms that are well-suited for dLLMs' unique characteristics have yet to be developed. This paper proposes Distribution Matching Policy Optimization (DMPO), a pri…

»Ubuntu 25.10 — Rust statt C, Wayland statt X11:
Die Linux-Distribution Ubuntu 25.10 nutzt Rust-basierte Systemkomponenten. Der auf Version 49 aktualisierte @… Desktop läuft nur noch auf Wayland.«
Ich pers. bevorzuge @… nicht als Desk…

Ubuntu 25.10: Rust im Userland und Wayland-only
Die Linux-Distribution Ubuntu 25.10 nutzt Rust-basierte Systemkomponenten. Der auf Version 49 aktualisierte GNOME-Desktop läuft nur noch auf Wayland.

Managed charging of EVs (called 'smart charging' in Europe) could save California $5 - 18 billion on distribution grid upgrades by 2040. Increased electrification (transport, buildings) offsets increased infrastructure costs by -0.2-4.5¢/kWh for all.
https://www.

A look at the system for distribution of direct media subsidies developed for the government of Denmark, which spends ~0.2% of its GDP on direct media subsidies (Rasmus Kleis Nielsen/Nieman Lab)
https://www.niemanlab.org/2…

As the U.S. starves its public media, Denmark wants to figure out a better way to subsidize private news publishers
"A foundation can pick winners on the basis of its own values and priorities and support them from private sources. But if the state does the same with public funds, we risk the appearance (or even worse, the reality) of politicians picking winners on the basis of their own ad hoc, pa…

LEAML: Label-Efficient Adaptation to Out-of-Distribution Visual Tasks for Multimodal Large Language Models
Ci-Siang Lin, Min-Hung Chen, Yu-Yang Sheng, Yu-Chiang Frank Wang
https://arxiv.org/abs/2510.03232

LEAML: Label-Efficient Adaptation to Out-of-Distribution Visual Tasks for Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have achieved strong performance on general visual benchmarks but struggle with out-of-distribution (OOD) tasks in specialized domains such as medical imaging, where labeled data is limited and expensive. We introduce LEAML, a label-efficient adaptation framework that leverages both scarce labeled VQA samples and abundant unlabeled images. Our approach generates domain-relevant pseudo question-answer pairs for unlabeled data using a QA generator regulari…

A novel spatial distribution method for wind farm parameterizations based on the Gaussian function
Bowen Du, Qi Li, Mingwei Ge, Xintao Li, Yongqian Liu
https://arxiv.org/abs/2510.11392

A novel spatial distribution method for wind farm parameterizations based on the Gaussian function
Wind farm parameterizations are crucial for quantifying the wind-farm atmosphere interaction, where wind turbines are typically modeled as elevated momentum sinks and sources of turbulence kinetic energy (TKE). These quantities must be properly distributed to the mesoscale grid. Existing parameterizations use the single-column method. However, this method can easily lead to the errors of the spatial distribution of the sink and source, thereby impacting the accuracy of mesoscale flow simulation…

A Note on the instability of equilibria for distribution dependent SDEs
Shao-Qin Zhang
https://arxiv.org/abs/2510.04169 https://arxiv.org/pdf/2510.04169

A Note on the instability of equilibria for distribution dependent SDEs
Due to the existence of multiple stationary distributions, we study the stability and instability of a stationary distribution for distribution dependent stochastic differential equations. This note is devoted to the instability of a stationary distribution, and links the instability to a spectral property of the generator of the corresponding linearized semigroup to the stochastic equation. Concrete examples, such as the granular media equation with double-wells landscapes, are given to illust…

"IBM owns Red Hat which in turn runs Fedora, the popular desktop Linux distribution. Sadly, shit rolls downhill, so we’re starting to see some worrying signs that Fedora is going to be used a means to push “AI”."
(Original title: Using “AI” to manage your Fedora system seems like a really bad idea)

Realistic Threat Models for Fiber and Free-Space Continuous-Variable Quantum Key Distribution
Zhiyue Zuo, Masoud Ghalaii, Stefano Pirandola
https://arxiv.org/abs/2510.06971 http…

Realistic Threat Models for Fiber and Free-Space Continuous-Variable Quantum Key Distribution
Future global quantum communication networks, or quantum Internet, will realize high-rate secure communication and entanglement distribution for large-scale users over long distances. Continuous variable (CV) quantum key distribution (QKD) provides a powerful setting for secure quantum communications, thanks to the use of room-temperature off-the-shelf optical devices and the potential to reach high rates. However, the achievable performance of CV-QKD protocols is fundamentally limited by the f…

Hybrid Schemes of NIST Post-Quantum Cryptography Standard Algorithms and Quantum Key Distribution for Key Exchange and Digital Signature
Abel C. H. Chen
https://arxiv.org/abs/2510.02379

Hybrid Schemes of NIST Post-Quantum Cryptography Standard Algorithms and Quantum Key Distribution for Key Exchange and Digital Signature
Since the security of post-quantum cryptography (PQC) algorithms is based on the hardness of mathematical problems, while the security of quantum key distribution (QKD) relies on the fundamental principles of quantum physics, each approach possesses distinct advantages and limitations that can complement one another. Consequently, recent studies have proposed hybrid schemes that combine QKD and PQC to establish a dual-layered security model. In response to this trend, this study proposes hybrid…

Scaling Properties of Avalanche Activity in the Two-Dimensional Abelian Sandpile Model
Anubhav Ganguly
https://arxiv.org/abs/2510.09631 https://arxiv.org/p…

Scaling Properties of Avalanche Activity in the Two-Dimensional Abelian Sandpile Model
We study the scaling properties of avalanche activity in the two-dimensional Abelian sandpile model. Instead of the conventional avalanche size distribution, we analyze the site activity distribution, which measures how often a site participates in avalanches when grains are added across the lattice. Using numerical simulations for system sizes up to \(L = 160\), averaged over \(10^4\) configurations, we determine the probability distribution \(P(A, L)\) of site activities. The results show tha…

Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
Kevin Raina, Tanya Schmah
https://arxiv.org/abs/2510.06025 https://

Out-of-Distribution Detection from Small Training Sets using Bayesian Neural Network Classifiers
Out-of-Distribution (OOD) detection is critical to AI reliability and safety, yet in many practical settings, only a limited amount of training data is available. Bayesian Neural Networks (BNNs) are a promising class of model on which to base OOD detection, because they explicitly represent epistemic (i.e. model) uncertainty. In the small training data regime, BNNs are especially valuable because they can incorporate prior model information. We introduce a new family of Bayesian posthoc OOD sco…

Systematic Alias Sampling: an efficient and low-variance way to sample from a discrete distribution
Ilari Vallivaara, Katja Poikselk\"a, Pauli Rikula, Juha R\"oning
https://arxiv.org/abs/2509.24089

Systematic Alias Sampling: an efficient and low-variance way to sample from a discrete distribution
In this paper we combine the Alias method with the concept of systematic sampling, a method commonly used in particle filters for efficient low-variance resampling. The proposed method allows very fast sampling from a discrete distribution: drawing k samples is up to an order of magnitude faster than binary search from the cumulative distribution function (cdf) or inversion methods used in many libraries. The produced empirical distribution function is evaluated using a modified Cramér-Von Mis…

Inferring the dark matter distribution of massive galaxy clusters from deep optical observations: insights from the TNG300 simulation
Aditya Manuwal (Universidad Nacional Aut\'onoma de M\'exico, Instituto de Astronom\'ia, A.P. 70-264, 04510 CDMX, M\'exico), Vladimir Avila-Reese (Universidad Nacional Aut\'onoma de M\'exico, Instituto de Astronom\'ia, A.P. 70-264, 04510 CDMX, M\'exico), Daniel Montenegro-Taborda (Instituto de Radioastronom\'ia y Astrof…

Inferring the dark matter distribution of massive galaxy clusters from deep optical observations: insights from the TNG300 simulation
Extragalactic stars within galaxy clusters contribute to the intracluster light (ICL), which is thought to be a promising tracer of the underlying dark matter (DM) distribution. In this study, we employ the TNG300 simulation to investigate the prospect of recovering the dark matter distribution of galaxy clusters from deep, wide-field optical images. For this, we generate mock observations of 40 massive clusters ($M_{200}\gtrsim 10^{14.5}\,{\rm M}_\odot$) at $z=0.06$ for the $g'$ band of the We…

Homogenization-based optimization of wall thickness distribution for TPMS two-fluid heat exchangers
Kaito Ohtani, Hiroki Kawabe, Kentaro Yaji, Kikuo Fujita, Vikrant Aute
https://arxiv.org/abs/2510.10622

Homogenization-based optimization of wall thickness distribution for TPMS two-fluid heat exchangers
Triply Periodic Minimal Surface (TPMS) structures are attracting growing attention as promising geometries for next-generation high-performance heat exchangers (HXs), due to their continuous flow paths and high surface-area-to-volume ratio that enhance heat transfer performance. Among these, graded TPMS structures with spatially varying thickness have emerged as a potential means to further improve performance. This study proposes an optimization method of wall thickness distribution for TPMS H…

Sony Pictures Television and CBS settle their legal battle over the distribution of Jeopardy! and Wheel of Fortune; Sony will gradually take over distribution (Rick Porter/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

CBS and Sony Settle Legal Fight Over ‘Jeopardy!,’ ‘Wheel of Fortune’ Distribution
The agreement ends a year-long battle involving the two long-running syndicated game shows.

Distribution-Free Prediction Sets for Regression under Target Shift
Menghan Yi, Yanlin Tang, Huixia Judy Wang
https://arxiv.org/abs/2510.10985 https://arxi…

Distribution-Free Prediction Sets for Regression under Target Shift
In real-world applications, the limited availability of labeled outcomes presents significant challenges for statistical inference due to high collection costs, technical barriers, and other constraints. In this work, we propose a method to construct efficient conformal prediction sets for new target outcomes by leveraging a source distribution that is distinct from the target but related through a distributional shift assumption and provides abundant labeled data. When the target data are full…

Training-Free Out-Of-Distribution Segmentation With Foundation Models
Laith Nayal, Hadi Salloum, Ahmad Taha, Yaroslav Kholodov, Alexander Gasnikov
https://arxiv.org/abs/2510.02909

Training-Free Out-Of-Distribution Segmentation With Foundation Models
Detecting unknown objects in semantic segmentation is crucial for safety-critical applications such as autonomous driving. Large vision foundation models, includ- ing DINOv2, InternImage, and CLIP, have advanced visual representation learn- ing by providing rich features that generalize well across diverse tasks. While their strength in closed-set semantic tasks is established, their capability to detect out- of-distribution (OoD) regions in semantic segmentation remains underexplored. In this …

Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints
Stavros Orfanoudakis, Frans Oliehoek, Peter Palesnky, Pedro P. Vergara
https://arxiv.org/abs/2510.12335

Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints
Electric Vehicles (EVs) offer substantial flexibility for grid services, yet large-scale, uncoordinated charging can threaten voltage stability in distribution networks. Existing Reinforcement Learning (RL) approaches for smart charging often disregard physical grid constraints or have limited performance for complex large-scale tasks, limiting their scalability and real-world applicability. This paper introduces a physics-informed (PI) RL algorithm that integrates a differentiable power flow m…

Spotify partners with Netflix to distribute a selection of video podcasts from Spotify Studios and The Ringer on Netflix starting in early 2026 in the US (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/10/14/spotifys-video-podcasts-are-coming-t…

Spotify partners with Netflix for video podcast distribution deal | TechCrunch
Spotify is partnering with Netflix to bring select video podcasts to the streaming platform starting in early 2026. The deal will feature curated shows from Spotify Studios and The Ringer, expanding later to include more genres. The move reflects Spotify’s growing focus on video as a key driver for engagement and ad revenue, with video podcast consumption now growing 20 times faster than audio-only content.

@… thanks for linking to the September email,
Plan for "distribution set" deprecation
Do you know of a search engine that can reliably find archived FreeBSD email? Google somehow lost the ability long ago.

Geometric Brownian motion with random observation time as generalization of the double Pareto distribution
Ken Yamamoto, Takashi Bando, Hirokazu Yanagawa, Yorhihiro Yamazaki
https://arxiv.org/abs/2509.24201

Geometric Brownian motion with random observation time as generalization of the double Pareto distribution
We study the probability distribution of the value of geometric Brownian motion at the stochastic observation time. It is known that the exponentially distributed observation time yields the distribution called the double Pareto distribution, and this study aims to generalize this distribution. First, we provide a calculation formula for the moment of the observed value of geometric Brownian motion using the moment-generating function of the observation time distribution. Next, the probability …

Fubo pulls NBCUniversal channels from its service, including local NBC stations, regional sports networks, CNBC, and MS Now, following a distribution dispute (Matthew Keys/TheDesk.net)
https://thedesk.net/2025/11/fubo-drops-channels-from-nbc-universal-ami…

Fubo drops channels from NBC Universal amid fee dispute
Disney-owned streamer Fubo has pulled channels from rival broadcaster NBC Universal, owned by Comcast.

Contextuality-based quantum key distribution with deterministic single-photon sources
Yu Meng, Debashis Saha, Mikkel Thorbj{\o}rn Mikkelsen, Clara Henke, Ying Wang, Nikolai Bart, Arne Ludwig, Ad\'an Cabello, Leonardo Midolo
https://arxiv.org/abs/2510.12761

Contextuality-based quantum key distribution with deterministic single-photon sources
Photons are central to quantum technologies, with photonic qubits offering a promising platform for quantum communication. Semiconductor quantum dots stand out for their ability to generate single photons on demand, a key capability for enabling long-distance quantum networks. In this work, we utilize high-purity single-photon sources based on self-assembled InAs(Ga)As quantum dots as quantum information carriers. We demonstrate that such on-demand single photons can generate quantum contextual…

Parameter estimation of the four-parameter Harris extended Weibull distribution with applications to real-life data
Prithul Chaturvedi, Himanshu Pokhriyal
https://arxiv.org/abs/2509.26162

Parameter estimation of the four-parameter Harris extended Weibull distribution with applications to real-life data
This paper explores the extension of the classical two-parameter Weibull distribution to a four-parameter Harris extended Weibull (HEW) distribution. The flexibility of this probability distribution is illustrated by the varying shapes of HEW density function. Estimation of HEW parameters is explored using estimation methods such as the least-squares, maximum product of spacings, and minimum distance method. We provide Bayesian inference on the random parameters of the HEW distribution using Me…

Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
Cornelius Schr\"oder, Marius-Raphael Schl\"uter, Markus Lienkamp
https://arxiv.org/abs/2510.01829

Calibrating the Full Predictive Class Distribution of 3D Object Detectors for Autonomous Driving
In autonomous systems, precise object detection and uncertainty estimation are critical for self-aware and safe operation. This work addresses confidence calibration for the classification task of 3D object detectors. We argue that it is necessary to regard the calibration of the full predictive confidence distribution over all classes and deduce a metric which captures the calibration of dominant and secondary class predictions. We propose two auxiliary regularizing loss terms which introduce …

How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness
Wa\"iss Azizian, Ali Hasan
https://arxiv.org/abs/2510.01163 …

How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness
The emergence of in-context learning (ICL) in large language models (LLMs) remains poorly understood despite its consistent effectiveness, enabling models to adapt to new tasks from only a handful of examples. To clarify and improve these capabilities, we characterize how the statistical properties of the pretraining distribution (e.g., tail behavior, coverage) shape ICL on numerical tasks. We develop a theoretical framework that unifies task selection and generalization, extending and sharpeni…

Power Distribution System Blackstart Restoration Using Renewable Energy
Wenlong Shi, Hongyi Li, Cong Bai, Zhaoyu Wang
https://arxiv.org/abs/2510.02495 https://

Power Distribution System Blackstart Restoration Using Renewable Energy
Integrating renewable energy sources into the grid not only reduces global carbon emissions, but also facilitates distribution system (DS) blackstart restoration. This process leverages renewable energy, inverters, situational awareness and distribution automation to initiate blackstart at the DS level, obtaining a fast response and bottom-up restoration. In this Review, we survey the latest technological advances for DS blackstart restoration using renewable energy. We first present mathematic…

A Black-Box Debiasing Framework for Conditional Sampling
Han Cui, Jingbo Liu
https://arxiv.org/abs/2510.11071 https://arxiv.org/pdf/2510.11071

A Black-Box Debiasing Framework for Conditional Sampling
Conditional sampling is a fundamental task in Bayesian statistics and generative modeling. Consider the problem of sampling from the posterior distribution $P_{X|Y=y^*}$ for some observation $y^*$, where the likelihood $P_{Y|X}$ is known, and we are given $n$ i.i.d. samples $D=\{X_i\}_{i=1}^n$ drawn from an unknown prior distribution $π_X$. Suppose that $f(\hatπ_{X^n})$ is the distribution of a posterior sample generated by an algorithm (e.g. a conditional generative model or the Ba…

Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
Wenlong Shi, Hongyi Li, Zhaoyu Wang
https://arxiv.org/abs/2510.02485 https://

Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
Extreme weather frequently cause widespread outages in distribution systems (DSs), demonstrating the importance of hardening strategies for resilience enhancement. However, the well-utilization of real-world outage data with associated weather conditions to make informed hardening decisions in DSs is still an open issue. To bridge this research gap, this paper proposes a data-driven stochastic distribution line (DL) hardening strategy. First, a deep neural network (DNN) regression model is deve…

Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
Ehimare Okoyomon, Arbel Yaniv, Christoph Goebel
https://arxiv.org/abs/2509.25158 https://

Physics-Informed Inductive Biases for Voltage Prediction in Distribution Grids
Voltage prediction in distribution grids is a critical yet difficult task for maintaining power system stability. Machine learning approaches, particularly Graph Neural Networks (GNNs), offer significant speedups but suffer from poor generalization when trained on limited or incomplete data. In this work, we systematically investigate the role of inductive biases in improving a model's ability to reliably learn power flow. Specifically, we evaluate three physics-informed strategies: (i) power-f…

Entanglement distribution via satellite: an evaluation of competing protocols assuming realistic free-space optical channels
Nicholas Zaunders, Timothy C. Ralph
https://arxiv.org/abs/2510.01633

Entanglement distribution via satellite: an evaluation of competing protocols assuming realistic free-space optical channels
A key technical requirement of any future quantum network is the ability to distribute quantum-entangled resources between two spatially separated points at a high rate and high fidelity. Entanglement distribution protocols based on satellite platforms, which transmit and receive quantum resources directly via free-space optical propagation, are therefore excellent candidates for quantum networking, since the geometry and loss characteristics of satellite networks feasibly allow for up to conti…

Edgington's Method for Random-Effects Meta-Analysis Part I: Estimation
David Kronthaler, Leonhard Held
https://arxiv.org/abs/2510.12301 https://arxiv.o…

Edgington's Method for Random-Effects Meta-Analysis Part I: Estimation
Meta-analysis can be formulated as combining $p$-values across studies into a joint $p$-value function, from which point estimates and confidence intervals can be derived. We extend the meta-analytic estimation framework based on combined $p$-value functions to incorporate uncertainty in heterogeneity estimation by employing a confidence distribution approach. Specifically, the confidence distribution of Edgington's method is adjusted according to the confidence distribution of the heterogeneit…

Computational Monogamy of Entanglement and Non-Interactive Quantum Key Distribution
Alex B. Grilo, Giulio Malavolta, Michael Walter, Tianwei Zhang
https://arxiv.org/abs/2510.00791

Computational Monogamy of Entanglement and Non-Interactive Quantum Key Distribution
Quantum key distribution (QKD) enables Alice and Bob to exchange a secret key over a public, untrusted quantum channel. Compared to classical key exchange, QKD achieves everlasting security: after the protocol execution the key is secure against adversaries that can do unbounded computations. On the flip side, while classical key exchange can be achieved non-interactively (with two simultaneous messages between Alice and Bob), no non-interactive protocol is known that provides everlasting secur…