Tootfinder

📰 Täglich findest Du hier kostenlose News zu vielen Zukunftsthemen. 😀 Leider muss ich die Hosting-Rechnungen seit Jahren allein zahlen. Ich will die Amazon-Partnerlinks loswerden, aber das geht nur mit Eurer finanziellen Hilfe und reicht leider noch nicht. 😭
Bitte unterstütze meine Arbeit mit einer Steady-Mitgliedschaft: https://steady.page/klimac…

KlimaCrew
Ich informiere über Zukunftsthemen, um Menschen vor Risiken zu warnen und Fortschritte sichtbar zu machen.

Old enough to remember 2013-02-07 when any web page that included a Facebook-supplied javascript resource (to enable the, once ubiquitous, Facebook Connect) redirected users to Facebook.
(It's the event that most informed my suspicion in using third-party javascript - without SRI.)
It's 2025: Facebook is retiring external like buttons, but Cloudflare is breaking captchas.

RE: https://hachyderm.io/@fantinel/115573316684309556
Looks like it’s working 👀
(Posting this from iPhanpy)

Say No to China’s Cruel New “Monkey Business” #AnimalRights

Prospects for a Solid-State Nuclear Clock
Steven M. Girvin (Yale), Leo Radzihovsky (CU Boulder)
https://arxiv.org/abs/2511.13017 https://arxiv.org/pdf/2511…

President Trump files a 40-page amended $15B defamation complaint against the NYT and others, after a judge initially dismissed it on Sept. 19 due to its length (The Guardian)
https://www.theguardian.com/us-news/2025/oct/16/trump-new-york-times-defam…

So I built this web page for privacy-enhanced sharing of YouTube videos. You can try it too. In the footer, click "Convert url" and you can paste the url of any YouTube video. It will convert to my url and you can copy the link or visit the page right away.

https://yt.axbom.com/?id=8enXRDlWguU

> Keep in mind that certain details differ between GitHub and Forgejo.
(page does not say a single word about what actually differs)

edit_wikiquote: Wikiquote edits (2010)
A bipartite user-page network extracted from Wikiquotes. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 6008 nodes and 54892 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
Sarina Xi, Orelia Pi, Miaomiao Zhang, Becca Xiong, Jacqueline Ng Lane, Nihar B. Shah
https://arxiv.org/abs/2510.12692

Who is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition
There is growing interest in applying artificial intelligence (AI) to automate and support complex decision-making tasks. However, it remains unclear how algorithms compare to human judgment in contexts requiring semantic understanding and domain expertise. We examine this in the context of the judge assignment problem, matching submissions to suitably qualified judges. Specifically, we tackled this problem at the Harvard President's Innovation Challenge, the university's premier venture compet…

Facebook removes Chicago-area page dedicated to ICE sightings after Justice Department intervenes (Lauryn Azu/Chicago Tribune)
https://www.chicagotribune.com/2025/10/14/facebook-removes-chicago-ice-watch-page/
http://www.memeorandum.com/251014/p147#a251014p147

I had to (wanted to, really… more later) put together a web page with a bunch of evaluation data (not for work).
Chart.js is pretty nice for this.
https://www.chartjs.org/

Chart.js
Simple yet flexible JavaScript charting library for the modern web

Proceedings of the International Workshop on Verification of Scientific Software
Stephen F. Siegel, Ganesh Gopalakrishnan
https://arxiv.org/abs/2510.12314 https://

Proceedings of the International Workshop on Verification of Scientific Software
This volume contains the proceedings of the Verification of Scientific Software (VSS 2025) workshop, held on 4 May 2025 at McMaster University, Canada, as part of ETAPS 2025. VSS brings together researchers in software verification and scientific computing to address challenges in ensuring the correctness and reliability of large-scale scientific codes. The program featured five peer-reviewed papers, three invited contributions, and a set of challenge problems, covering themes such as deductive…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[4/5]:
- Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Di...
Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Vinija Jain, Aman Chadha

Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations
Rayed Suhail Ahmad, Rehan Ahmad, Quamar Niyaz
https://arxiv.org/abs/2510.11898 https://

Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations
Wi-Fi networks are ubiquitous in both home and enterprise environments, serving as a primary medium for Internet access and forming the backbone of modern IoT ecosystems. However, their inherent vulnerabilities, combined with widespread adoption, create opportunities for malicious actors to gain unauthorized access or compromise sensitive data stored on connected devices. To address these challenges, we propose a deep learning based network intrusion detection system (NIDS) for Wi-Fi environmen…

The EmpathiSEr: Development and Validation of Software Engineering Oriented Empathy Scales
Hashini Gunatilake, John Grundy, Rashina Hoda, Ingo Mueller
https://arxiv.org/abs/2510.12546

The EmpathiSEr: Development and Validation of Software Engineering Oriented Empathy Scales
Empathy plays a critical role in software engineering (SE), influencing collaboration, communication, and user-centred design. Although SE research has increasingly recognised empathy as a key human aspect, there remains no validated instrument specifically designed to measure it within the unique socio-technical contexts of SE. Existing generic empathy scales, while well-established in psychology and healthcare, often rely on language, scenarios, and assumptions that are not meaningful or inte…

Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
Shai Zucker, Xiong Wang, Fei Lu, Inbar Seroussi
https://arxiv.org/abs/2510.11789 https:…

Dimension-Free Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
We study the convergence rate of learning pairwise interactions in single-layer attention-style models, where tokens interact through a weight matrix and a non-linear activation function. We prove that the minimax rate is $M^{-\frac{2β}{2β+1}}$ with $M$ being the sample size, depending only on the smoothness $β$ of the activation, and crucially independent of token count, ambient dimension, or rank of the weight matrix. These results highlight a fundamental dimension-free statistical efficie…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/14]:
- AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via A...
Alkin, Bleeker, Kurle, Kronlachner, Sonnleitner, Dorfer, Brandstetter

On the enumeration of records of rooted trees and rooted forests
Adri\'an Lillo, Mercedes Rosas, Stefan Trandafir
https://arxiv.org/abs/2510.12536 https://

On the enumeration of records of rooted trees and rooted forests
A record of a rooted Cayley tree is a node whose label is the largest along the unique path to the root. In this work, we find elegant functional equations relating the generating functions for records of rooted Cayley trees and for records of forests of rooted trees with the Cayley tree function, and explore the consequences of our results.

Replaced article(s) found for math.LO. https://arxiv.org/list/math.LO/new
[1/1]:
- Measurable domatic partitions
Edward Hou
https://arxiv.…

On the Number of Small Points for Rational Maps
Jit Wu Yap
https://arxiv.org/abs/2510.12039 https://arxiv.org/pdf/2510.12039…

On the Number of Small Points for Rational Maps
Let $K$ be a number field and $f: \mathbb{P}^1 \to \mathbb{P}^1$ a rational map of degree $d \geq 2$ with at most $s$ places of bad reduction, where we include all archimedean places. We prove that there exists constants $c_1,c_2 > 0$, depending only on $d$ and not on $f$ or $K$, such that $$ \# \left\{ x \in \mathbb{P}^1(K) \mid \widehat{h}_f(x) \leq \frac{c_1}{s} h_{\operatorname{rat}_d}(\langle f \rangle) \right\} \leq c_2 s \log(s). $$ Here, $\operatorname{rat}_d$ is the moduli space of rat…

A q-analogue of Mirzakhani's recursion for Weil-Petersson volumes
Norman Do, Paul Norbury
https://arxiv.org/abs/2510.12431 https://arxiv.org/pdf/2510.1…

Notes on false vacuum decay in quantum Ising models
Ian G. Moss
https://arxiv.org/abs/2510.12592 https://arxiv.org/pdf/2510.12592

Notes on false vacuum decay in quantum Ising models
This paper aims to gather together some of the basic ideas behind the theory of false vacuum decay in quantum Ising models, focusing on the application of spin chains as analogue systems to false vacuum decay in elementary particle theory. Elementary results on quantum Ising models are rewritten to more closely resemble the original literature on false vacuum decay. A highly speculative conjecture for the false vacuum decay rate in a two dimensional quantum Ising model is also put forward.

LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications
Vibhoothi Vibhoothi, Fran\c{c}ois Piti\'e, Anil Kokaram
https://arxiv.org/abs/2510.12379

LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications
In the last decade, video workflows in the cinema production ecosystem have presented new use cases for video streaming technology. These new workflows, e.g. in On-set Virtual Production, present the challenge of requiring precise quality control and energy efficiency. Existing approaches to transcoding often fall short of these requirements, either due to a lack of quality control or computational overhead. To fill this gap, we present a lightweight neural network (LiteVPNet) for accurately pr…

[Türchenöffnungsgeräusch]
Tag 20 im #klexadventskalender ist auf #artShop #fediArt #mastoArt #creativeToots

An Empirical Study for Representations of Videos in Video Question Answering via MLLMs
Zhi Li, Yanan Wang, Hao Niu, Julio Vizcarra, Masato Taya
https://arxiv.org/abs/2510.12299 …

An Empirical Study for Representations of Videos in Video Question Answering via MLLMs
Multimodal large language models have recently achieved remarkable progress in video question answering (VideoQA) by jointly processing visual, textual, and audio information. However, it remains unclear which video representations are most effective for MLLMs, and how different modalities balance task accuracy against computational efficiency. In this work, we present a comprehensive empirical study of video representation methods for VideoQA with MLLMs. We systematically evaluate single modal…

Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
Cody Melcher, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani
https://arxiv.org/abs/2510.11990

Linear Convergence of a Unified Primal--Dual Algorithm for Convex--Concave Saddle Point Problems with Quadratic Growth
In this paper, we study saddle point (SP) problems, focusing on convex-concave optimization involving functions that satisfy either two-sided quadratic functional growth (QFG) or two-sided quadratic gradient growth (QGG)--novel conditions tailored specifically for SP problems as extensions of quadratic growth conditions in minimization. These conditions relax the traditional requirement of strong convexity-strong concavity, thereby encompassing a broader class of problems. We propose a generali…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[8/8]:
- Online Rubrics Elicitation from Pairwise Comparisons
Rezaei, Vacareanu, Wang, Wang, Liu, He, Aky\"urek

Formation of protostars and the launching of stellar core outflows with moving-mesh radiation non-ideal magnetohydrodynamics
Alexander C. Mayer, R\"udiger Pakmor, Thorsten Naab, Oliver Zier, Alexei V. Ivlev, Tommaso Grassi, Paola Caselli, Volker Springel
https://arxiv.org/abs/2510.12620

Formation of protostars and the launching of stellar core outflows with moving-mesh radiation non-ideal magnetohydrodynamics
We present an implementation of radiative transfer with flux-limited diffusion (FLD) for the moving-mesh code {\small AREPO} and use the method in a physical model for the formation of protostars with non-ideal radiation-magnetohydrodynamics (RMHD). We follow previous work in splitting the additional terms to the hydrodynamical equations arising from the inclusion of radiation into terms to be integrated explicitly and implicitly, as the diffusion and coupling terms would impose very restrictiv…

62.6 GHz ScAlN Solidly Mounted Acoustic Resonators
Yinan Wang, Byeongjin Kim, Nishanth Ravi, Kapil Saha, Supratik Dasgupta, Vakhtang Chulukhadze, Eugene Kwon, Lezli Matto, Pietro Simeoni, Omar Barrera, Ian Anderson, Tzu-Hsuan Hsu, Jue Hou, Matteo Rinaldi, Mark S. Goorsky, Ruochen Lu
https://arxiv.org/abs/2510.11994

62.6 GHz ScAlN Solidly Mounted Acoustic Resonators
We demonstrate a record-high 62.6 GHz solidly mounted acoustic resonator (SMR) incorporating a 67.6 nm scandium aluminum nitride (Sc0.3Al0.7N) piezoelectric layer on a 40 nm buried platinum (Pt) bottom electrode, positioned above an acoustic Bragg reflector composed of alternating SiO2 (28.2 nm) and Ta2O5 (24.3 nm) layers in 8.5 pairs. The Bragg reflector and piezoelectric stack above are designed to confine a third-order thickness-extensional (TE) bulk acoustic wave (BAW) mode, while efficient…

Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
Stefano Riva, Carolina Introini, Jos\`e Nathan Kutz, Antonio Cammi
https://arxiv.org/abs/2510.12368

Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
Shallow Recurrent Decoder networks are a novel data-driven methodology able to provide accurate state estimation in engineering systems, such as nuclear reactors. This deep learning architecture is a robust technique designed to map the temporal trajectories of a few sparse measures to the full state space, including unobservable fields, which is agnostic to sensor positions and able to handle noisy data through an ensemble strategy, leveraging the short training times and without the need for …

Hypothesis testing for the dimension of random geometric graph
Mingao Yuan, Feng Yu
https://arxiv.org/abs/2510.11844 https://arxiv.org/pdf/2510.11844

Hypothesis testing for the dimension of random geometric graph
Random geometric graphs (RGGs) offer a powerful tool for analyzing the geometric and dependence structures in real-world networks. For example, it has been observed that RGGs are a good model for protein-protein interaction networks. In RGGs, nodes are randomly distributed over an $m$-dimensional metric space, and edges connect the nodes if and only if their distance is less than some threshold. When fitting RGGs to real-world networks, the first step is probably to input or estimate the dimens…

Quasinormal modes from numerical relativity with Bayesian inference
Richard Dyer, Christopher J. Moore
https://arxiv.org/abs/2510.11783 https://arxiv.org/p…

Quasinormal modes from numerical relativity with Bayesian inference
Numerical relativity (NR) enables the study of physics in strong and dynamical gravitational fields and provides predictions for the gravitational-wave signals produced by merging black holes. Despite the impressive accuracy of modern codes, the resulting waveforms inevitably contain numerical uncertainties. Quantifying these uncertainties is important, especially for studies probing subdominant or nonlinear effects around the merger and ringdown. This paper describes a flexible Gaussian-proces…

Enhancing Robust Multi-Market Participation of Renewable-Based VPPs through Flexible Resources
Hadi Nemati, \'Alvaro Ortega, Pedro S\'anchez-Mart\'in, Lukas Sigrist, Luis Rouco, Ignacio Egido
https://arxiv.org/abs/2510.12589

Enhancing Robust Multi-Market Participation of Renewable-Based VPPs through Flexible Resources
In the transition toward a sustainable power system, renewable-based Virtual Power Plants (RVPPs) have emerged as a promising solution to the challenges of integrating renewable energy sources into electricity markets. Their viability, however, depends on effective market participation strategies and the ability to manage uncertainties while leveraging flexible resources. This paper analyzes the impact of different flexible resources - such as concentrated solar power plants, hydro plants, biom…

Energy calibration of LHAASO-KM2A using the cosmic ray Moon shadow
Ali Raza, Huihai He, Faisal Akram, The LHAASO Collaboration
https://arxiv.org/abs/2510.12649 https://

Energy calibration of LHAASO-KM2A using the cosmic ray Moon shadow
We present a precise measurement of the westward, rigidity-dependent shift of the Moon's shadow using three and a half years of cosmic-ray data collected by the Kilometer Square Array (KM2A) of the Large High Altitude Air Shower Observatory (LHAASO). These measurements enable us to calibrate the detector energy response in the range 20-260 TeV, with results showing excellent agreement with the response derived from Monte Carlo (MC) simulations of the KM2A detector. We also measure a best-fit pa…

Replaced article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- Algorithmic Implementation: An Introduction to a Low-Cost, GUI-Based, Semi-Unsupervised Microscop...
Surajit Das, Pavel Zun

Fully mixed virtual element schemes for steady-state poroelastic stress-assisted diffusion
Isaac Bermudez, Bryan Gomez-Vargas, Andres E. Rubiano, Ricardo Ruiz-Baier
https://arxiv.org/abs/2510.12307

Fully mixed virtual element schemes for steady-state poroelastic stress-assisted diffusion
We propose a fully mixed virtual element method for the numerical approximation of the coupling between stress-altered diffusion and linear elasticity equations with strong symmetry of total poroelastic stress (using the Hellinger--Reissner principle). A novelty of this work is that we introduce a less restrictive assumption on the stress-assisted diffusion coefficient, requiring an analysis of the perturbed diffusion equation using Banach spaces. The solvability of the continuous and discrete …

Hyperspectral data augmentation with transformer-based diffusion models
Mattia Ferrari, Lorenzo Bruzzone
https://arxiv.org/abs/2510.08363 https://arxiv.org…

Hyperspectral data augmentation with transformer-based diffusion models
The introduction of new generation hyperspectral satellite sensors, combined with advancements in deep learning methodologies, has significantly enhanced the ability to discriminate detailed land-cover classes at medium-large scales. However, a significant challenge in deep learning methods is the risk of overfitting when training networks with small labeled datasets. In this work, we propose a data augmentation technique that leverages a guided diffusion model. To effectively train the model w…

An Explorative Study on Distributed Computing Techniques in Training and Inference of Large Language Models
Sheikh Azizul Hakim, Saem Hasan
https://arxiv.org/abs/2510.11211 http…

An Explorative Study on Distributed Computing Techniques in Training and Inference of Large Language Models
Large language models (LLM) are advanced AI systems trained on extensive textual data, leveraging deep learning techniques to understand and generate human-like language. Today's LLMs with billions of parameters are so huge that hardly any single computing node can train, fine-tune, or infer from them. Therefore, several distributed computing techniques are being introduced in the literature to properly utilize LLMs. We have explored the application of distributed computing techniques in LLMs f…

Enhanced Localization of Dark Lensed Gravitational Wave Events Enables Host Galaxy Identification and Precise Cosmological Inference
Zhiwei Chen, Qingjuan Yu, Youjun Lu, Xiao Guo
https://arxiv.org/abs/2510.12470

Enhanced Localization of Dark Lensed Gravitational Wave Events Enables Host Galaxy Identification and Precise Cosmological Inference
Lensed gravitational wave (GW) events are expected to be powerful new probes of cosmology, contingent on redshift measurement by electromagnetic observations. Host galaxy identification is thus crucial but challenging due to poor localization by GW signal alone. In this paper, we show that the third-generation ground-based GW detectors will detect a population of lensed events with three or more detectable images (including the central one), each arriving at distinct times and Earth locations i…

Looking for a phantomjs alternative, ran a search and ended up on a page with a seemingly good comparison of possibilities, until you realize the page is on zenrows.com domain. I don't think I'll take YOUR word for your product. Not sure what snakeoil they might be selling but feels overtly self-aggrandizing at least

Non-linear associations of amyloid-$\beta$ with resting-state functional networks and their cognitive relevance in a large community-based cohort of cognitively normal older adults
Junjie Wu, Benjamin B Risk, Taylor A James, Nicholas Seyfried, David W Loring, Felicia C Goldstein, Allan I Levey, James J Lah, Deqiang Qiu
https://arxiv.org/ab…

Non-linear associations of amyloid-$β$ with resting-state functional networks and their cognitive relevance in a large community-based cohort of cognitively normal older adults
Background: Non-linear alterations in brain network connectivity may represent early neural signatures of Alzheimer's disease (AD) pathology in cognitively normal older adults. Understanding these changes and their cognitive relevance could provide sensitive biomarkers for early detection. Most prior studies recruited participants from memory clinics, often with subjective memory concerns, limiting generalizability. Methods: We examined 14 large-scale functional brain networks in 968 cognitiv…

Positivity properties of canonical bases
Jiepeng Fang, Xuhua He
https://arxiv.org/abs/2510.12154 https://arxiv.org/pdf/2510.12154

Positivity properties of canonical bases
We prove that the canonical basis of a modified quantum group $\dot{\mathbf{U}}$ exhibits strong positivity properties for the canonical basis elements arising from spherical parabolic subalgebras. Our main result establishes that the structure constants for both the multiplication with arbitrary canonical basis elements in $\dot{\mathbf{U}}$ and the action on the canonical basis elements of arbitrary tensor products of simple lowest and highest weight modules by these elements belong to $\math…

The rings of (2060) Chiron: Evidence of an evolving system
C. L. Pereira, F. Braga-Ribas, B. Sicardy, R. Leiva, M. Assafin, B. E. Morgado, J. L. Ortiz, P. Santos-Sanz, J. I. B. Camargo, G. Margoti, Y. Kilic, G. Benedetti-Rossi, R. Vieira-Martins, T. F. L. L. Pinheiro, R. Sfair, F. L. Rommel, A. R. Gomes-J\'unior, R. C. Boufleur, R. Duffard, J. Desmars, D. Souami, N. Morales, F. Arrese, K. Barkaoui, A. Burdanov, C. A. Colazo, C. A. Domingues, H. Dutra, R. C. Gargalhone, C. Jacques, …

The rings of (2060) Chiron: Evidence of an evolving system
The centaur (2060) Chiron has long been a candidate for hosting material in orbit, based on occultation and photometric and spectroscopic data. Here, we present a multichord stellar occultation observed on 2023 September 10 UT that reveals new and complex structures surrounding Chiron. High-cadence light curves show multiple secondary events that are best explained (when compared with a multishell interpretation) with a system of three confined rings located at average radii of 273, 325, and 43…

Replaced article(s) found for math.AC. https://arxiv.org/list/math.AC/new
[1/1]:
- Galois theory of differential schemes
Ivan Toma\v{s}i\'c, Behrang Noohi
h…

Replaced article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
- Lattice Instabilities Along the Transformation from Hexagonal to Cuboidal Structures in Hard- and...
Robles-Navarro, Cooper, Hauser, Zehetmair, Smits, Schwerdtfeger

Replaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- Multiple-Rate Channel Codes in $\texttt{GF}(p^{n^{2}})$
R. S. Raja Durai, Ashwini Kumar

Structure of quantum measurements implementable with one round of classical communication
Arthur C. R. Dutra, Ties-A. Ohst, Hai-Chau Nguyen, Otfried G\"uhne
https://arxiv.org/abs/2510.09381

Structure of quantum measurements implementable with one round of classical communication
Measurements that can be implemented via local operations and classical communication (LOCC) constitute a class of operations that is available in future quantum networks in which parties share entangled resource states. We characterise the different classes of measurements implementable with LOCC, where communication is restricted to a single round with a fixed direction. In particular, using the framework of constrained separability problems, we provide a complete characterisation of the clas…

Origin of pressure-flow non-linearity in two-phase intermittent flow in porous media
Paolo Botticini, Davide Picchi, Santanu Sinha, Alex Hansen
https://arxiv.org/abs/2510.12588 …

Origin of pressure-flow non-linearity in two-phase intermittent flow in porous media
This study presents a first-principles model to predict the two-phase pressure drop in gas-liquid intermittent flow through round capillaries, which serve as the simplest analogous of a porous medium. Building upon the classical capillary flow theory, we derive a model for a train of elongated bubbles, and rigorously quantify its validity in terms of the dimensionless parameters of the problem (capillary number, number of bubbles, gas volume fraction, and channel length-to-diameter ratio). The …

Replaced article(s) found for q-fin.MF. https://arxiv.org/list/q-fin.MF/new
[1/1]:
- On time-consistent equilibrium stopping under aggregation of diverse discount rates
Shuoqing Deng, Xiang Yu, Jiacheng Zhang

Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement Learning
Dominik Urbaniak, Alejandro Agostini, Pol Ramon, Jan Rosell, Ra\'ul Su\'arez, Michael Suppa
https://arxiv.org/abs/2510.09254

Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement Learning
Learning-based motion planning can quickly generate near-optimal trajectories. However, it often requires either large training datasets or costly collection of human demonstrations. This work proposes an alternative approach that quickly generates smooth, near-optimal collision-free 3D Cartesian trajectories from a single artificial demonstration. The demonstration is encoded as a Dynamic Movement Primitive (DMP) and iteratively reshaped using policy-based reinforcement learning to create a di…

Stranding $\mathfrak{sl}_n$ webs
Heather M. Russell, Julianna Tymoczko
https://arxiv.org/abs/2510.12035 https://arxiv.org/pdf/2510.12035

Stranding $\mathfrak{sl}_n$ webs
Webs are a kind of planar, directed, edge-labeled graph that encode invariant vectors for quantum representations of $\mathfrak{sl}_n$. The theory of webs developed organically for $\mathfrak{sl}_2$, where they are also known as noncrossing matchings and the Temperley-Lieb algebra, before being formalized by Kuperberg for $\mathfrak{sl}_2$ and $\mathfrak{sl}_3$ as the morphisms in a diagrammatic categorification of quantum representations called the spider category. Various models extend webs t…

See https://archive.org/details/byte-magazine-1975-12/page/n42/mode/2up for the full ad

Replaced article(s) found for econ.EM. https://arxiv.org/list/econ.EM/new
[1/1]:
- Almost Dominance: Inference and Application
Xiaojun Song, Zhenting Sun
https:…

Lectures on stochastic sewing with applications
Oleg Butkovsky
https://arxiv.org/abs/2510.12165 https://arxiv.org/pdf/2510.12165

Lectures on stochastic sewing with applications
These are lecture notes for a mini-course on stochastic sewing, taught at the University of Edinburgh and Beijing Institute of Technology in Spring/Summer 2025. The aim is to introduce the reader to stochastic sewing techniques and to show how they can be successfully applied to study various problems in stochastic analysis, including: regularization by noise for stochastic differential equations driven by Brownian motion or fractional Brownian motion, well-posedness of stochastic PDEs with irr…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/5]:
- MLRIP: Pre-training a military language representation model with informative factual knowledge a...
Hui Li, Xuekang Yang

webkb: WebKB graphs (1998)
Web graphs crawled from four Computer Science departments in 1998, with each page manually classified into one of 7 categories: course, department, faculty, project, staff, student, or other. All graphs included in a single .zip; also included are 'co-citation' graphs, which links i and j if they both point to some k. Edge weights count the number of links from i to j.
This network has 334 nodes and 32988 edges.
Tags: Informational, Web gr…

📰 Hier findest Du täglich Informationen zu #Klima & #Wissenschaft auf Deutsch. Mit Deiner Unterstützung kann ich das weiterhin kostenlose tun. Ich möchte helfen, #Sprachbarrieren zu überb…

KlimaCrew
Ich informiere über Zukunftsthemen, um Menschen vor Risiken zu warnen und Fortschritte sichtbar zu machen.

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
Yun Peng, Kisub Kim, Linghan Meng, Kui Liu
https://arxiv.org/abs/2510.12186 https://arx…

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
Code review is an essential process to ensure the quality of software that identifies potential software issues at an early stage of software development. Among all software issues, security issues are the most important to identify, as they can easily lead to severe software crashes and service disruptions. Recent research efforts have been devoted to automated approaches to reduce the manual efforts required in the secure code review process. Despite the progress, current automated approaches…

Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory
Einar Urdshals, Edmund Lau, Jesse Hoogland, Stan van Wingerden, Daniel Murfet
https://arxiv.org/abs/2510.12077

Compressibility Measures Complexity: Minimum Description Length Meets Singular Learning Theory
We study neural network compressibility by using singular learning theory to extend the minimum description length (MDL) principle to singular models like neural networks. Through extensive experiments on the Pythia suite with quantization, factorization, and other compression techniques, we find that complexity estimates based on the local learning coefficient (LLC) are closely, and in some cases, linearly correlated with compressibility. Our results provide a path toward rigorously evaluating…

Data-Model Co-Evolution: Growing Test Sets to Refine LLM Behavior
Minjae Lee, Minsuk Kahng
https://arxiv.org/abs/2510.12728 https://arxiv.org/pdf/2510.1272…

Data-Model Co-Evolution: Growing Test Sets to Refine LLM Behavior
A long-standing challenge in machine learning has been the rigid separation between data work and model refinement, enforced by slow fine-tuning cycles. The rise of Large Language Models (LLMs) overcomes this historical barrier, allowing applications developers to instantly govern model behavior by editing prompt instructions. This shift enables a new paradigm: data-model co-evolution, where a living test set and a model's instructions evolve in tandem. We operationalize this paradigm in an int…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[5/14]:
- QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
Wang, Huang, Tian, Su, Yu, Liao, Fan, Guo, Cheng

Formally Verified Certification of Unsolvability of Temporal Planning Problems
David Wang, Mohammad Abdulaziz
https://arxiv.org/abs/2510.10189 https://arxi…

Formally Verified Certification of Unsolvability of Temporal Planning Problems
We present an approach to unsolvability certification of temporal planning. Our approach is based on encoding the planning problem into a network of timed automata, and then using an efficient model checker on the network followed by a certificate checker to certify the output of the model checker. Our approach prioritises trustworthiness of the certification: we formally verify our implementation of the encoding to timed automata using the theorem prover Isabelle/HOL and we use an existing cer…

Periods detecting Eisenstein series and sums of $L$-values I
Weixiao Lu, Guodong Xi
https://arxiv.org/abs/2510.12446 https://arxiv.org/pdf/2510.12446

Periods detecting Eisenstein series and sums of $L$-values I
We study the automorphic period associated to a $G$-Hamiltonian variety $M$ whose dual is $\check{M} = T^*(\check{G}/\check{L})$, where $\check{G}$ is a general linear group and $\check{L}$ is a Levi subgroup. For certain cuspidal Eisenstein series, we prove that their period is equal to a finite sum of special values of $L$-functions. This sum is indexed by the fixed points of the associated extended $L$-parameter on $\check{M}$, confirming a conjecture by Ben-Zvi-Sakellaridis-Venkatesh in thi…

Parity Nonconservation in Rb and Sr$^ $ due to Low-Mass Vector Boson
V. A. Dzuba, V. V. Flambaum, G. K. Vong
https://arxiv.org/abs/2512.12882 https://arxiv…

The Role of Parametric Injection-A Systematic Study of Parametric Retrieval-Augmented Generation
Minghao Tang, Shiyu Ni, Jingtong Wu, Zengxin Han, Keping Bi
https://arxiv.org/abs/2510.12668

The Role of Parametric Injection-A Systematic Study of Parametric Retrieval-Augmented Generation
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by retrieving external documents. As an emerging form of RAG, parametric retrieval-augmented generation (PRAG) encodes documents as model parameters (i.e., LoRA modules) and injects these representations into the model during inference, enabling interaction between the LLM and documents at parametric level. Compared with directly placing documents in the input context, PRAG is more efficient and has the potential to offe…

GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
Ahmad Mohammadi, Reza Ahmari, Vahid Hemmati, Frederick Owusu-Ambrose, Mahmoud Nabil Mahmoud, Parham Kebria, Abdollah Homaifar, Mehrdad Saif
https://arxiv.org/abs/2510.10766

GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
As autonomous vehicles become an essential component of modern transportation, they are increasingly vulnerable to threats such as GPS spoofing attacks. This study presents an adaptive detection approach utilizing a dynamically tuned Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, designed to adjust the detection threshold (ε) in real-time. The threshold is updated based on the recursive mean and standard deviation of displacement errors between GPS and in-vehic…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[7/8]:
- System Prompt Optimization with Meta-Learning
Yumin Choi, Jinheon Baek, Sung Ju Hwang

The MIRI Excesses around Degenerates (MEAD) Survey I: A candidate cold brown dwarf in orbit around the nearby white dwarf 2MASS J09424023-4637176
Lo\"ic Albert (D\'epartement de Physique and Observatoire du Mont-M\'egantic, Universit\'e de Montr\'eal, Trottier Institute for Research on Exoplanets), Sabrina R. Poulsen (Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma), \'Erika Le Bourdais (D\'epartement de physique and Institut Trot…

The MIRI Excesses around Degenerates (MEAD) Survey I: A candidate cold brown dwarf in orbit around the nearby white dwarf 2MASS J09424023-4637176
The MIRI Excesses Around Degenerates Survey is a Cycle 2 James Webb Space Telescope (JWST) Survey program designed to image nearby white dwarfs in the mid-IR with the MIRI imaging mode. Only a handful of white dwarfs have previously been observed beyond 8~\micron. This survey gathered observations for 56 white dwarfs within 25~pc at 10 and 15~\micron, probing each white dwarf for unresolved IR excesses, IR flux deficits indicative of collision induced absorption, or resolved substellar companio…

Optimising Communication Control Factors for Energy Consumption in Rural LOS V2X
Zhanle Zhao, Son Dinh-Van, Yuen Kwan Mo, Siddartha Khastgir, Matthew D. Higgins
https://arxiv.org/abs/2510.12539

Optimising Communication Control Factors for Energy Consumption in Rural LOS V2X
Connected braking can reduce fatal collisions in connected and autonomous vehicles (CAVs) by using reliable, low-latency 5G New Radio (NR) links, especially NR Sidelink Vehicle-to-Everything (V2X). In rural areas, road side units are sparse and power-constrained or off-grid, so energy efficiency must be considered alongside safety. This paper studies how three communication control factors including subcarrier spacing ($\mathrm{SCS}$), modulation and coding scheme ($\mathrm{MCS}$), and transmit…

Modeling gamma-ray signatures of particle acceleration in stellar clusters from GeV to PeV
A. Inventar, S. Gabici, E. Peretti
https://arxiv.org/abs/2510.12562 https://

Modeling gamma-ray signatures of particle acceleration in stellar clusters from GeV to PeV
Young massive stellar clusters (YMSCs) have recently regained interest as PeVatron candidates, potentially accounting for the cosmic-ray (CR) knee as alternatives to isolated supernova remnants (SNRs). LHAASO's unique capability to detect photons above 0.1 PeV, hence tracing multi-PeV CRs, can provide critical constraints on galactic acceleration models when combined with H.E.S.S. and Fermi-LAT data. We investigate the transport of particles from YMSCs acceleration sites, namely wind terminatio…

SPICE: Simple and Practical Image Clarification and Enhancement
Alexander Belyaev, Pierre-Alain Fayolle, Michael Cohen
https://arxiv.org/abs/2510.08358 https://

SPICE: Simple and Practical Image Clarification and Enhancement
We introduce a simple and efficient method to enhance and clarify images. More specifically, we deal with low light image enhancement and clarification of hazy imagery (hazy/foggy images, images containing sand dust, and underwater images). Our method involves constructing an image filter to simulate low-light or hazy conditions and deriving approximate reverse filters to minimize distortions in the enhanced images. Experimental results show that our approach is highly competitive and often sur…

Moduli spaces of generalised tautological bundles on Hilbert schemes
Andreas Krug, Fabian Reede, Ziyu Zhang
https://arxiv.org/abs/2510.11298 https://arxiv.…

Moduli spaces of generalised tautological bundles on Hilbert schemes
We construct new stable vector bundles on Hilbert schemes of points on algebraic surfaces, which are parametrised by connected components of their moduli spaces. This work generalises aspects of our previous work on tautological bundles and of recent work of O'Grady.

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
Sazan Mahbub, Souvik Kundu, Eric P. Xing
https://arxiv.org/abs/2510.11750

PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations
Designing protein sequences that fold into a target three-dimensional structure, known as the inverse folding problem, is central to protein engineering but remains challenging due to the vast sequence space and the importance of local structural constraints. Existing deep learning approaches achieve strong recovery rates, yet they lack explicit mechanisms to reuse fine-grained structure-sequence patterns that are conserved across natural proteins. We present PRISM, a multimodal retrieval-augme…

A Systematic North-South asymmetry in the Steady-state Climate of rapidly-rotating Oblique Water Worlds
Y Wu, S. Portegies Zwart, H Dijkstra
https://arxiv.org/abs/2510.11904 htt…

A Systematic North-South asymmetry in the Steady-state Climate of rapidly-rotating Oblique Water Worlds
Planetary obliquity (axial tilt) plays an important role in regulating the climate evolution and habitability of water-covered planets. Despite the suspicion of large obliquities in several exoplanetary systems, this phenomenon remains hard to observe directly. We aimed to study the effect of mass, obliquity, and rotation on the steady state climate of water-covered planets. We simulated the climate evolution of such planets with varying obliquities, rotational speed, and mass using a general c…

Crosslisted article(s) found for cond-mat.mtrl-sci. https://arxiv.org/list/cond-mat.mtrl-sci/new
[1/1]:
- Multi-objective Bayesian Optimization with Human-in-the-Loop for Flexible Neuromorphic Electronic...
Benius Dunn, Javier Meza-Arroyo, Armi Tiihonen, Mark Lee, Julia …

Enhancing Neural Code Representation with Additional Context
Huy Nguyen, Christoph Treude, Patanamon Thongtanunam
https://arxiv.org/abs/2510.12082 https://…

Enhancing Neural Code Representation with Additional Context
Automated program comprehension underpins many software engineering tasks, from code summarisation to clone detection. Recent deep learning models achieve strong results but typically rely on source code alone, overlooking contextual information such as version history or structural relationships. This limits their ability to capture how code evolves and operates. We conduct an empirical study on how enriching code representations with such contextual signals affects neural model performance on…

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Jiaqi Li, Zhipeng Lou, Johannes Schmidt-Hieber, Wei Biao Wu
https://arxiv.org/abs/2510.12013 https://

Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
Stochastic Gradient Descent (SGD) and its Ruppert-Polyak averaged variant (ASGD) lie at the heart of modern large-scale learning, yet their theoretical properties in high-dimensional settings are rarely understood. In this paper, we provide rigorous statistical guarantees for constant learning-rate SGD and ASGD in high-dimensional regimes. Our key innovation is to transfer powerful tools from high-dimensional time series to online learning. Specifically, by viewing SGD as a nonlinear autoregres…

Social Simulation for Integrating Self-Care: Measuring the Effects of Contextual Environments in Augmented Reality for Mental Health Practice
Anna Fang, Jiayang Shi, Hriday Chhabria, Bosi Li, Haiyi Zhu
https://arxiv.org/abs/2510.12081

Social Simulation for Integrating Self-Care: Measuring the Effects of Contextual Environments in Augmented Reality for Mental Health Practice
Despite growing interest in virtual and augmented reality (VR/AR) for mental well-being, prior work using immersive interventions to teach mental health skills has largely focused on calming or abstract settings. As a result, little is known about how realistic social simulation may better support the transfer and application of skills to in-person environments. In this work, we present a 14-day user study with 43-participants comparing an augmented reality intervention simulating a realistic c…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/14]:
- An approach for systematic decomposition of complex llm tasks
Tianle Zhou, Jiakai Xu, Guanhong Liu, Jiaxiang Liu, Haonan Wang, Eugene Wu

[2025-10-14 Tue (UTC), 9 new articles found for cs.LO Logic in Computer Science]
toXiv_bot_toot

Causal Inspired Multi Modal Recommendation
Jie Yang, Chenyang Gu, Zixuan Liu
https://arxiv.org/abs/2510.12325 https://arxiv.org/pdf/2510.12325

Causal Inspired Multi Modal Recommendation
Multimodal recommender systems enhance personalized recommendations in e-commerce and online advertising by integrating visual, textual, and user-item interaction data. However, existing methods often overlook two critical biases: (i) modal confounding, where latent factors (e.g., brand style or product category) simultaneously drive multiple modalities and influence user preference, leading to spurious feature-preference associations; (ii) interaction bias, where genuine user preferences are m…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/8]:
- K-ASTRO: Structure-Aware Adaptation of LLMs for Code Vulnerability Detection
Yifan Zhang, Michael Sandborn, Stefan Larson, Yu Huang, Kevin Leach

Polar Filaments Capture High Latitude Solar Poloidal Field Interactions and can Foretell the Future Sunspot Cycle Amplitude before Polar Field Precursors
Srinjana Routh, Shaonwita Pal, Dibyendu Nandy, Subhamoy Chatterjee, Dipankar Banerjee, Mohd. Saleem Khan
https://arxiv.org/abs/2510.12142

Polar Filaments Capture High Latitude Solar Poloidal Field Interactions and can Foretell the Future Sunspot Cycle Amplitude before Polar Field Precursors
Polar fields at the minimum of a sunspot cycle -- which are a manifestation of the radial component of the Sun's poloidal field -- are deemed to be the best indicator of the strength of the toroidal component, and hence the amplitude of the future sunspot cycle. However, the Sun's polar magnetic fields are difficult to constrain with ground-based or space-based observations from near the plane-of-ecliptic. In this context, polar filaments -- dark, elongated structures that overlie polarity inve…

Lingxi: Repository-Level Issue Resolution Framework Enhanced by Procedural Knowledge Guided Scaling
Xu Yang, Jiayuan Zhou, Michael Pacheco, Wenhan Zhu, Pengfei He, Shaowei Wang, Kui Liu, Ruiqi Pan
https://arxiv.org/abs/2510.11838

Lingxi: Repository-Level Issue Resolution Framework Enhanced by Procedural Knowledge Guided Scaling
Driven by the advancements of Large Language Models (LLMs), LLM-powered agents are making significant improvements in software engineering tasks, yet struggle with complex, repository-level issue resolution. Existing agent-based methods have two key limitations. First, they lack of procedural knowledge (i.e., how an issue is fixed step-by-step and rationales behind it) to learn and leverage for issue resolution. Second, they rely on massive computational power to blindly explore the solution sp…

$F$-divided bundles on normal $F$-finite schemes
Adrian Langer, Lei Zhang
https://arxiv.org/abs/2510.10582 https://arxiv.org/pdf/2510.10582

$F$-divided bundles on normal $F$-finite schemes
In this paper we study $F$-divided bundles on irreducible Noetherian normal $F$-finite $\mathbb{F}_p$-schemes and we show that their Tannakian category is governed by the behaviour at the generic point. In particular, if $U\subset X$ is an open subset of a normal variety defined over an algebraically closed field then the corresponding homomorphism of $F$-divided fundamental groups is faithfully flat. This is analogous to a known fact about the topological fundamental group of an open subset of…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/14]:
- Adapting and Evaluating Multimodal Large Language Models for Adolescent Idiopathic Scoliosis Self...
Zhaolong Wu, Pu Luo, Nan Meng, Jason Pui Yin Cheung, Teng Zhang

The resilience of the sailboat stable region
Rafael Sfair, Tiago F. L. L. Pinheiro, Giovana Ramon, Ernesto Vieira
https://arxiv.org/abs/2510.11855 https://…

The resilience of the sailboat stable region
Binary systems host complex orbital dynamics where test particles can occupy stable regions despite strong gravitational perturbations. The sailboat region, discovered in the Pluto-Charon system, allows highly eccentric S-type orbits at intermediate distances between the two massive bodies. This region challenges traditional stability concepts by supporting eccentricities up to 0.9 in a zone typically dominated by chaotic motion. We investigate the sailboat region's existence and extent across …

edit_wikiquote: Wikiquote edits (2010)
A bipartite user-page network extracted from Wikiquotes. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 3929 nodes and 20595 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

Embedding the Teacher: Distilling vLLM Preferences for Scalable Image Retrieval
Eric He, Akash Gupta, Adian Liusie, Vatsal Raina, Piotr Molenda, Shirom Chabra, Vyas Raina
https://arxiv.org/abs/2510.12014

Embedding the Teacher: Distilling vLLM Preferences for Scalable Image Retrieval
Text--image retrieval is necessary for applications such as product recommendation. Embedding-based approaches like CLIP enable efficient large-scale retrieval via vector similarity search, but they are primarily trained on literal caption-like text--image pairs and often fail to capture abstract or persona-driven attributes common in product recommendation applications (e.g., ``a gift for a mother who loves gardening''). In contrast, state-of-the-art vision--language models (vLLMs) can align t…

eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis
Haruhiko Yoshioka, Kazumasa Shimari, Hidetake Uwano, Kenichi Matsumoto
https://arxiv.org/abs/2510.11722 …

eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis
This paper presents eye2vec, an infrastructure for analyzing software developers' eye movements while reading source code. In common eye-tracking studies in program comprehension, researchers must preselect analysis targets such as control flow or syntactic elements, and then develop analysis methods to extract appropriate metrics from the fixation for source code. Here, researchers can define various levels of AOIs like words, lines, or code blocks, and the difference leads to different result…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/8]:
- Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Genera...
Wu, Gao, Shi, Li, Xu, Zhang, Zhu, Wang, Luo, Wang, Wu, Huang

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/14]:
- TCP: a Benchmark for Temporal Constraint-Based Planning
Zifeng Ding, Sikuan Yan, Zhangdie Yuan, Xianglong Hu, Fangru Lin, Andreas Vlachos

A unified Bayesian framework for adversarial robustness
Pablo G. Arce, Roi Naveiro, David R\'ios Insua
https://arxiv.org/abs/2510.09288 https://arxiv.o…

A unified Bayesian framework for adversarial robustness
The vulnerability of machine learning models to adversarial attacks remains a critical security challenge. Traditional defenses, such as adversarial training, typically robustify models by minimizing a worst-case loss. However, these deterministic approaches do not account for uncertainty in the adversary's attack. While stochastic defenses placing a probability distribution on the adversary exist, they often lack statistical rigor and fail to make explicit their underlying assumptions. To reso…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/8]:
- Latent Variable Modeling in Multi-Agent Reinforcement Learning via Expectation-Maximization for U...
Mazyar Taghavi, Rahman Farnoosh

From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search Relevance
Runze Xia, Yupeng Ji, Yuxi Zhou, Haodong Liu, Teng Zhang, Piji Li
https://arxiv.org/abs/2510.11056

From Reasoning LLMs to BERT: A Two-Stage Distillation Framework for Search Relevance
Query-service relevance prediction in e-commerce search systems faces strict latency requirements that prevent the direct application of Large Language Models (LLMs). To bridge this gap, we propose a two-stage reasoning distillation framework to transfer reasoning capabilities from a powerful teacher LLM to a lightweight, deployment-friendly student model. In the first stage, we address the limitations of general-purpose LLMs by constructing a domain-adapted teacher model. This is achieved thro…

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[2/2]:
- Leveraging Large Language Models for Cybersecurity Risk Assessment -- A Case from Forestry Cyber-...
Fikret Mert Gultekin, Oscar Lilja, Ranim Khojah, Rebekka Wohlrab, Marvin Damschen, Mazen Mohamad

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[3/8]:
- EFRame: Deeper Reasoning via Exploration-Filter-Replay Reinforcement Learning Framework
Chen Wang, Lai Wei, Yanzhi Zhang, Chenyang Shao, Zedong Dan, Weiran Huang, Yuzhi Zhang, Yue Wang

Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
Joachim Diederich
https://arxiv.org/abs/2510.09338 https://arxiv.org/pdf/2510.09338

Localist LLMs -- A Mathematical Framework for Dynamic Locality Control
We present a novel framework for training large language models with continuously adjustable internal representations that span the full spectrum from localist (interpretable, rule-based) to distributed (generalizable, efficient) encodings. The key innovation is a locality dial, a tunable parameter that dynamically controls the degree of localization during both training and inference without requiring model retraining. This is achieved through group sparsity penalties on attention mechanisms, …

Replaced article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/2]:
- Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative...
Rasheed, Waseem, Ahmad, Kemell, Xiaofeng, Duc, Abrahamsson