Tootfinder

KI-Systeme bevorzugen eigene Texte: Studie warnt vor "Anti-Human-Bias"
Wissenschaftler haben nachgewiesen, dass Large Language Models Inhalte anderer KI-Systeme bevorzugen. Was Menschen daraus lernen können.

Why there are fears of Munich 1938 in Washington 2025
Putin is focusing on a deal that would grant him Ukraine’s key defensive lines, just as Hitler secured Czechoslovakia’s fortifications in 1938.
https://www.politico.eu/article/donald-tru

Why there are fears of Munich 1938 in Washington 2025
Putin is focusing on a deal that would grant him Ukraine’s key defensive lines, just as Hitler secured Czechoslovakia’s fortifications in 1938.

"Survey: UK school leavers keen to enter green jobs right away"
#UK #UnitedKingdom
https://www.

Découvrez l'enquête en France sur les violences et abus sexuels au sein d'une communauté bouddhiste, suite Š l'affaire OKC en Belgique. En savoir plus ici : https://chardonsbleus.org/affaire-okc-

Affaire OKC : Après la Belgique, une Enquête en France pour Violences et Abus Sexuels au Sein d’une Communauté Bouddhiste
Affaire OKC : Après la Belgique, une Nouvelle Enquête en France pour Violences et Abus Sexuels au Sein d’une Communauté Bouddhiste

It has happened to the best of us: You forgot the name of a function or the package that function was in but you are sure its there somewhere and does exactly what you need! Introduce {forgot}, it helps you find that function: https://github.com/parmsam/forgot

GitHub - parmsam/forgot: R package to search for that one function you need in that one package
R package to search for that one function you need in that one package - parmsam/forgot

Here's the video that got Jimmy Kimmel taken off the air today based on threats from Fat Putin's puppets at the FCC:
#jimmykimmel #fcc #trump

Exklusive Suchmaschine: Google zahlt Millionenstrafe in Australien
Die Wettbewerbsbehörde ACCC ging gerichtlich wegen Marktmissbrauchs gegen Google vor. Der Konzern zahlt jetzt außergerichtlich 35,8 Millionen US-Dollar.

Der Derpenführer
bot by @…
This is satire, not sedition: rescind the warrant.
#satire #potus45

"More than a century ago, a wild-eyed, vegetarian, free love-promoting German entrepreneur and self-taught economist named Silvio Gesell proposed a radical reformation of the monetary system as we know it. He wanted to make money that decays over time. "
https://www.noemamag.com/what-if-money-exp

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Benjamin Sterling, Yousef El-Laham, M\'onica F. Bugallo
https://arxiv.org/abs/2509.14225

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Recent advances in generative artificial intelligence applications have raised new data security concerns. This paper focuses on defending diffusion models against membership inference attacks. This type of attack occurs when the attacker can determine if a certain data point was used to train the model. Although diffusion models are intrinsically more resistant to membership inference attacks than other generative models, they are still susceptible. The defense proposed here utilizes criticall…

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai
https://arxiv.org/abs/2509.13848 https://

SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
Feature caching has recently emerged as a promising method for diffusion model acceleration. It effectively alleviates the inefficiency problem caused by high computational requirements by caching similar features in the inference process of the diffusion model. In this paper, we analyze existing feature caching methods from the perspective of information utilization, and point out that relying solely on historical information will lead to constrained accuracy and speed performance. And we prop…

(P)rior(D)yna(F)low: A Priori Dynamic Workflow Construction via Multi-Agent Collaboration
Yi Lin, Lujin Zhao, Yijie Shi
https://arxiv.org/abs/2509.14547 https://

(P)rior(D)yna(F)low: A Priori Dynamic Workflow Construction via Multi-Agent Collaboration
Recent studies have shown that carefully designed workflows coordinating large language models(LLMs) significantly enhance task-solving capabilities compared to using a single model. While an increasing number of works focus on autonomous workflow construction, most existing approaches rely solely on historical experience, leading to limitations in efficiency and adaptability. We argue that while historical experience is valuable, workflow construction should also flexibly respond to the unique…

Falcons vs. 49ers odds, time: Everything you need to crush your NFL Week 7 Sunday Night Football picks

https://www.cbssports.com/nfl/news/falcons

The odd thing about being in solidarity with Americans who don't want a king seems odd coming from the citizen of a country that has a King as it's head of state.
He's relatively new in the job, but we kind of had a fondness for his Mum, who incidently served in WWII against you know who
So #NoKings except perhaps for

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
Xiaobo Xing, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin
https://arxiv.org/abs/2509.14671

TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
Modeling semantic and structural information from tabular data remains a core challenge for effective table understanding. Existing Table-as-Text approaches flatten tables for large language models (LLMs), but lose crucial structural cues, while Table-as-Image methods preserve structure yet struggle with fine-grained semantics. Recent Table-as-Multimodality strategies attempt to combine textual and visual views, but they (1) statically process both modalities for every query-table pair within a…

CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing
Boyu Zhang, Ping He, Tianyu Du, Xuhong Zhang, Lei Yun, Kingsum Chow, Jianwei Yin
https://arxiv.org/abs/2509.13982

CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing
With the widespread adoption of open-source code language models (code LMs), intellectual property (IP) protection has become an increasingly critical concern. While current watermarking techniques have the potential to identify the code LM to protect its IP, they have limitations when facing the more practical and complex demand, i.e., offering the individual user-level tracing in the black-box setting. This work presents CLMTracing, a black-box code LM watermarking framework employing the rul…

google: Google internal webpages (2007)
A directed network of webpages from Google's own sites, and the hyperlinks among them. Edge direction indicates that i hyperlinks to j.
This network has 15763 nodes and 171206 edges.
Tags: Informational, Web graph, Unweighted
https://networks.skewed.de/net/google

The Role of Entanglement in Quantum Reservoir Computing with Coupled Kerr Nonlinear Oscillators
Ali Karimi, Hadi Zadeh-Haghighi, Youssef Kora, Christoph Simon
https://arxiv.org/abs/2508.11175

The Role of Entanglement in Quantum Reservoir Computing with Coupled Kerr Nonlinear Oscillators
Quantum Reservoir Computing (QRC) uses quantum dynamics to efficiently process temporal data. In this work, we investigate a QRC framework based on two coupled Kerr nonlinear oscillators, a system well-suited for time-series prediction tasks due to its complex nonlinear interactions and potentially high-dimensional state space. We explore how its performance in time-series prediction depends on key physical parameters: input drive strength, Kerr nonlinearity, and oscillator coupling, and analyz…

DEFENDCLI: {Command-Line} Driven Attack Provenance Examination
Peilun Wu, Nan Sun, Nour Moustafa, Youyang Qu, Ming Ding
https://arxiv.org/abs/2508.12553 https://

DEFENDCLI: {Command-Line} Driven Attack Provenance Examination
Endpoint Detection and Response (EDR) solutions embrace the method of attack provenance graph to discover unknown threats through system event correlation. However, this method still faces some unsolved problems in the fields of interoperability, reliability, flexibility, and practicability to deliver actionable results. Our research highlights the limitations of current solutions in detecting obfuscation, correlating attacks, identifying low-frequency events, and ensuring robust context awaren…

Simultaneous Contact Sequence and Patch Planning for Dynamic Locomotion
Victor Dh\'edin, Haizhou Zhao, Majid Khadiv
https://arxiv.org/abs/2508.12928 https://

Simultaneous Contact Sequence and Patch Planning for Dynamic Locomotion
Legged robots have the potential to traverse highly constrained environments with agile maneuvers. However, planning such motions requires solving a highly challenging optimization problem with a mixture of continuous and discrete decision variables. In this paper, we present a full pipeline based on Monte-Carlo tree search (MCTS) and whole-body trajectory optimization (TO) to perform simultaneous contact sequence and patch selection on highly challenging environments. Through extensive simulat…

Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation
Duc Minh Ha, Phu Trac Kien, Tho Quan, Anh Nguyen-Duc
https://arxiv.org/abs/2509.13942

Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation
[Background] Large Language Model (LLM)-based multi-agent systems (MAS) are transforming software development by enabling autonomous collaboration. Classical software processes such asWaterfall, V-Model, and Agile offer structured coordination patterns that can be repurposed to guide these agent interactions. [Aims] This study explores how traditional software development processes can be adapted as coordination scaffolds for LLM based MAS and examines their impact on code quality, cost, and pr…

"When in doubt, make a fool of yourself. There is a microscopically thin line between being brilliantly creative and acting like the most gigantic idiot on earth. So what the hell, leap."
-Cynthia Heimel
#acting #coaching

The column number for 3-modular matrices
Joseph Paat, Zach Walsh, Luze Xu
https://arxiv.org/abs/2509.13463 https://arxiv.org/pdf/2509.13463

The column number for 3-modular matrices
An integer-valued matrix $\mathbf{A}$ is $Δ$-modular if each $\text{rank}(\mathbf{A}) \times \text{rank}(\mathbf{A})$ submatrix has determinant at most $Δ$ in absolute value. The column number problem is to determine the maximum number of pairwise non-parallel columns of a rank-$r$, $Δ$-modular matrix. Exact values for the column number are only known for $r \le 2$ or $Δ\le 2$. We prove that if $r$ is sufficiently large, then the maximum number of pairwise non-parallel columns of a rank-$r$…

Leveraging Artificial Intelligence as a Strategic Growth Catalyst for Small and Medium-sized Enterprises
Oluwatosin Agbaakin (Indiana University Indianapolis)
https://arxiv.org/abs/2509.14532

Leveraging Artificial Intelligence as a Strategic Growth Catalyst for Small and Medium-sized Enterprises
Artificial Intelligence (AI) has transitioned from a futuristic concept reserved for large corporations to a present-day, accessible, and essential growth lever for Small and Medium-sized Enterprises (SMEs). For entrepreneurs and business leaders, strategic AI adoption is no longer an option but an imperative for competitiveness, operational efficiency, and long-term survival. This report provides a comprehensive framework for SME leaders to navigate this technological shift, offering the found…

I'm thrilled people are discovering the HTML `<output>` element:
• https://denodell.com/blog/html-best-kept-secret-output-tag
•

HTML’s Best Kept Secret: The output Tag
Make your dynamic content accessible by default with the HTML tag that time forgot.

Banach modules, almost mathematics and condensed mathematics
Dimitri Dine
https://arxiv.org/abs/2508.11268 https://arxiv.org/pdf/2508.11268

Banach modules, almost mathematics and condensed mathematics
We study the relationship between almost mathematics, condensed mathematics and the categories of seminormed and Banach modules over a Banach ring $A$, with submetric (norm-decreasing) $A$-module homomorphisms for morphisms. If $A$ is a Banach ring with a norm-multiplicative topologically nilpotent unit $\varpi$ contained in the closed unit ball $A_{\leq1}$ such that $\varpi$ admits a compatible system of $p$-power roots $\varpi^{1/p^{n}}$ with \begin{equation*}\lVert\varpi^{1/p^{n}}\rVert=\lVe…

A motivic discrepancy function on arc spaces
Tommaso de Fernex, Zach Mere
https://arxiv.org/abs/2508.12420 https://arxiv.org/pdf/2508.12420

A motivic discrepancy function on arc spaces
At the heart of motivic integration is a change-of-variables formula which relates motivic integrals along proper birational maps of varieties. The formula was first proved by Kontsevich for smooth blow-ups of smooth varieties, and extended to arbitrary resolutions of singularities by Denef and Loeser. The purpose of this paper is to establish a general change-of-variables formula for a proper birational morphism of arbitrary varieties in arbitrary characteristics that does not rely on resoluti…

Meta stellt sich gegen die KI-Pläne der EU
Meta, der US-Konzern hinter Facebook und Instagram, lehnt den EU-Kodex zur KI-Regulierung ab. Das Unternehmen sieht Überregulierung und Innovationsbremsen.
https://www.

Contrastive Multi-View Graph Hashing
Yang Xu, Zuliang Yang, Kai Ming Ting
https://arxiv.org/abs/2508.12377 https://arxiv.org/pdf/2508.12377

Contrastive Multi-View Graph Hashing
Multi-view graph data, which both captures node attributes and rich relational information from diverse sources, is becoming increasingly prevalent in various domains. The effective and efficient retrieval of such data is an important task. Although multi-view hashing techniques have offered a paradigm for fusing diverse information into compact binary codes, they typically assume attributes-based inputs per view. This makes them unsuitable for multi-view graph data, where effectively encoding …

Replaced article(s) found for cs.FL. https://arxiv.org/list/cs.FL/new
[1/1]:
- Presheaf automata
Georg Struth, Krzysztof Ziemia\'nski
https://

Turn up the light: Radiative efficiency of protostars at birth
Asmita Bhandare, Adnan Ali Ahmad, Beno\^it Commer\c{c}on
https://arxiv.org/abs/2509.15009 https://

Turn up the light: Radiative efficiency of protostars at birth
Early stages of stellar birth comprise of a two-step process involving the formation of two hydrostatic cores. The second step of gravitational collapse sets the radiative efficiency and accretion rate of the young protostar. These two parameters, of prime importance for protostellar evolution, dictate the luminosities and thus play a key role in deciphering the current discrepancy between observational surveys and theoretical models. In this letter, we provide quantitative estimates on the evo…

RFM-Editing: Rectified Flow Matching for Text-guided Audio Editing
Liting Gao, Yi Yuan, Yaru Chen, Yuelan Cheng, Zhenbo Li, Juan Wen, Shubin Zhang, Wenwu Wang
https://arxiv.org/abs/2509.14003

RFM-Editing: Rectified Flow Matching for Text-guided Audio Editing
Diffusion models have shown remarkable progress in text-to-audio generation. However, text-guided audio editing remains in its early stages. This task focuses on modifying the target content within an audio signal while preserving the rest, thus demanding precise localization and faithful editing according to the text prompt. Existing training-based and zero-shot methods that rely on full-caption or costly optimization often struggle with complex editing or lack practicality. In this work, we p…

Sample Size Calculations for the Development of Risk Prediction Models that Account for Performance Variability
Menelaos Pavlou, Rumana Z. Omar, Gareth Ambler
https://arxiv.org/abs/2509.14028

Sample Size Calculations for the Development of Risk Prediction Models that Account for Performance Variability
Existing approaches to sample size calculations for developing clinical prediction models have focused on ensuring that the expected value of a chosen performance measure meets a pre-specified target. For example, to limit model-overfitting, the sample size is commonly chosen such that the expected calibration slope (CS) is 0.9, close to 1 for a perfectly calibrated model. In practice, due to sampling variability, model performance can vary considerably across different development samples of t…

Efficient Algorithms for Disjoint Shortest Paths Problem and its Extensions
Keerti Choudhary, Amit Kumar, Lakshay Saggi
https://arxiv.org/abs/2509.14588 https://

Efficient Algorithms for Disjoint Shortest Paths Problem and its Extensions
We study the 2-Disjoint Shortest Paths (2-DSP) problem: given a directed weighted graph and two terminal pairs $(s_1,t_1)$ and $(s_2,t_2)$, decide whether there exist vertex-disjoint shortest paths between each pair. Building on recent advances in disjoint shortest paths for DAGs and undirected graphs (Akmal et al. 2024), we present an $O(mn \log n)$ time algorithm for this problem in weighted directed graphs that do not contain negative or zero weight cycles. This algorithm presents a signif…

Tell Me About It
Welcome to Tell Me About It: the no-filter podcast for real people building real businesses...
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/tell-me-about-it/

Factored Output Feedback Controller Synthesis with Locality Constraints for Spatially-Invariant Systems
Walden Marshall
https://arxiv.org/abs/2509.14168 https://

Factored Output Feedback Controller Synthesis with Locality Constraints for Spatially-Invariant Systems
We consider H2 output feedback controller synthesis with pre-specified constraints on spatial communication distance (locality) for spatially-invariant systems using two factored controller frameworks: the system-level parameterization and the input-output parameterization. In our main result, we show that in both frameworks, output feedback controller synthesis with locality constraints can be formulated as a convex problem in finitely many transfer function variables, admitting the use of sta…

A Tight Lower Bound for Doubling Spanners
An La, Hung Le, Shay Solomon, Cuong Than, Vinayak, Shuang Yang, Tianyi Zhang
https://arxiv.org/abs/2508.11555 https://

A Tight Lower Bound for Doubling Spanners
Any $n$-point set in the $d$-dimensional Euclidean space $\mathbb{R}^d$, for $d = O(1)$, admits a $(1+ε)$-spanner with $\tilde{O}(n \cdot ε^{-d+1})$ edges and lightness $\tilde{O}(ε^{-d})$, for any $ε> 0$. (The {lightness} is a normalized notion of weight, where we divide the spanner weight by the MST weight. The $\tilde{O}$ and $\tildeΩ$ notations hide $\texttt{polylog}(ε^{-1})$ terms.) Moreover, this result is tight: For any $2 \le d = O(1)$, there exists an $n$-point set in $\mathbb{R}…

Dark Matter and the Early Formation of Supermassive Black Holes
Andrew Imai, Grant J. Mathews, Guobao Tang, Brian Zhang
https://arxiv.org/abs/2508.11846 https://

Dark Matter and the Early Formation of Supermassive Black Holes
We investigate the growth of supermassive black holes (SMBHs) at high redshift ($z \ge 10$) from a combination of dark matter capture, black-hole mergers, and gas accretion. It has previously been shown that SMBHs can form by $z \approx 10$ via black-hole mergers, Eddington-limited Bondi gas accretion and tidal disruption events with stars within dense nuclear clusters. Here, we show that the capture of collisionless dark matter by a growing SMBH also substantially contributes, in some cases by…

Taming Serverless Cold Starts Through OS Co-Design
Ben Holmes, Baltasar Dinis, Lana Honcharuk, Joshua Fried, Adam Belay
https://arxiv.org/abs/2509.14292 https://

Taming Serverless Cold Starts Through OS Co-Design
Serverless computing promises fine-grained elasticity and operational simplicity, fueling widespread interest from both industry and academia. Yet this promise is undercut by the cold setart problem, where invoking a function after a period of inactivity triggers costly initialization before any work can begin. Even with today's high-speed storage, the prevailing view is that achieving sub-millisecond cold starts requires keeping state resident in memory. This paper challenges that assumption…

A dark energy model for coasting cosmology
Yunliang Ren, Xiaofeng Yang, Xuwei Zhang, Shuangnan Chen, Yangjun Shi, Cheng Cheng, Xiaolong He, Hoernisa Iminniyaz
https://arxiv.org/abs/2509.15039

A dark energy model for coasting cosmology
Coasting cosmology offers an intriguing and straightforward framework for understanding the universe. In this work, we employ the Trans-Planckian Censorship Criterion (TCC) conjecture to test the viability of the coasting cosmology and propose an entropic dark energy (EDE) model within this framework. By applying the holographic principle to constrain the dark energy density and adopting the Bekenstein entropy and Tsallis entropy as the constraining entropies of the system, we find that, in a h…

Julia Set in Quantum Evolution: The case of Dynamical Quantum Phase Transitions
Manmeet Kaur, Somendra M. Bhattacharjee
https://arxiv.org/abs/2509.14923 https://

Julia Set in Quantum Evolution: The case of Dynamical Quantum Phase Transitions
Dynamical quantum phase transitions (DQPTs) are a class of non-equilibrium phase transitions that occur in many-body quantum systems during real-time evolution, rather than through parameter tuning as in conventional phase transitions. This paper presents an exact analytical approach to studying DQPTs by combining complex dynamics with the real-space renormalization group (RG). RG transformations are interpreted as iterated maps on the complex plane, establishing a connection betw…

Unconditional and optimal error analysis of two linearized finite difference schemes for the logarithmic Schr\"odinger equation
Tingchun Wang, Jingye Yan
https://arxiv.org/abs/2509.14736

Unconditional and optimal error analysis of two linearized finite difference schemes for the logarithmic Schrödinger equation
In this paper, we propose two linearized finite difference schemes for solving the logarithmic Schrödinger equation (LogSE) without the need for regularization of the logarithmic term. These two schemes employ the first-order and the second-order backward difference formula, respectively, for temporal discretization of the LogSE, while using the second-order central finite difference method for spatial discretization. We overcome the singularity posed by the logarithmic nonlinearity $f(u)=u\ln…

Replaced article(s) found for math.QA. https://arxiv.org/list/math.QA/new
[1/1]:
- Skew braces and Rota-Baxter operators on semi-direct products
Pragya Belwal, Mahender Singh

Citation accuracy, citation noise, and citation bias: A foundation of citation analysis
Lutz Bornmann, Christian Leibel
https://arxiv.org/abs/2508.12735 https://

Citation accuracy, citation noise, and citation bias: A foundation of citation analysis
Citation analysis is widely used in research evaluation to assess the impact of scientific papers. These analyses rest on the assumption that citation decisions by authors are accurate, representing flow of knowledge from cited to citing papers. However, in practice, researchers often cite for reasons other than attributing intellectual credit to previous research. Citations made for rhetorical reasons or without reading the cited work compromise the value of citations as instrument for researc…

General complete intersection homomorphisms
Samuel Alvite, Javier Majadas
https://arxiv.org/abs/2508.12967 https://arxiv.org/pdf/2508.12967

General complete intersection homomorphisms
We study three classes of local homomorphisms and their behavior with respect to the ascent and descent of the \emph{complete intersection} property. Crucially, they fall in between the already studied classes of complete intersection and quasi-complete intersection homomorphisms, while also repairing some of the issues these presented.

On Zinbiel and Tortkara superalgebras
Sofiane Bouarroudj, Farukh Mashurov
https://arxiv.org/abs/2508.11382 https://arxiv.org/pdf/2508.11382

On Zinbiel and Tortkara superalgebras
In this paper, we study Zinbiel superalgebras and special Tortkara superalgebras, highlighting key differences between the super and the non-super setting. We present examples of Zinbiel superalgebras with Rota-Baxter operators and construct a basis for free Zinbiel superalgebras. Moreover, we establish a superalgebraic analogue of the Lie criterion for Zinbiel superalgebras. In contrast to the classical case, some homomorphic images of special Tortkara superalgebras on two generators are excep…

Ultrafast controlling net magnetization in g-wave altermagnets via laser fields
Zhaobo Zhou, Sangeeta Sharma, Junjie He
https://arxiv.org/abs/2509.14991 https://

Ultrafast controlling net magnetization in g-wave altermagnets via laser fields
The diverse nodal spin structures in d/g/i-wave altermagnets (AM) may cause distinct light-induced spin responses yet remain poorly understood. Using time-dependent density functional theory (TDDFT), we reveal that laser induced ultrafast demagnetization dynamics in the g-wave AM CrSb are strongly governed by the laser incidence direction. Under normal incidence along the [0001] axis, two Cr sublattices exhibit symmetric temporal demagnetization but with different amplitudes, preserving the net…

Dynamics on Bi-Lagrangian Structures and Cherry maps
Bertuel Tangue Ndawa
https://arxiv.org/abs/2508.12350 https://arxiv.org/pdf/2508.12350

Dynamics on Bi-Lagrangian Structures and Cherry maps
We consider a bi-Lagrangian structure $(ω,\mathcal{F}_{1},\mathcal{F}_{2})$ on a manifold $M$, that is, $(M,ω,\mathcal{F}_{1},\mathcal{F}_{2})$ is a bi-Lagrangian manifold. We prolong bi-Lagrangian structures on $M$, and lift a dynamic on its tangent and cotangent bundles in different ways. In some cases, we show that the lifted structures are affine. In the case of the 2-dimensional torus, we find that an extension of the same dynamic on pairs of so-called Cherry vector fields induces a conj…

SMILES Data Release II: Probing Galaxy Evolution during Cosmic Noon and Beyond with NIRSpec Medium-Resolution Spectra
Yongda Zhu, Nina Bonaventura, Yang Sun, George H. Rieke, Stacey Alberts, Jianwei Lyu, Jane E. Morrison, Zhiyuan Ji, Eiichi Egami, Jakob M. Helton, Marcia J. Rieke, Pierluigi Rinaldi, Fengwu Sun, Christopher N. A. Willmer
https://

SMILES Data Release II: Probing Galaxy Evolution during Cosmic Noon and Beyond with NIRSpec Medium-Resolution Spectra
We present the second data release of the Systematic Mid-Infrared Instrument (MIRI) Legacy Extragalactic Survey (SMILES), focusing on JWST/NIRSpec medium-resolution spectroscopy of galaxies across cosmic time. This release includes spectroscopic observations of 166 galaxies spanning $0 < z < 7.5$, sampling star-forming galaxies, quiescent systems, and active galactic nuclei (AGN), with an emphasis on galaxies at cosmic noon ($z \sim 1$-3). We describe the target selection strategy, the observat…

Exploring Gender Differences in Tertiary Mathematics-Intensive Fields: A Critical Review of Social Cognitive Career Theory
Huayu Gao, Tanya Evans, Gavin Brown
https://arxiv.org/abs/2508.12180

Exploring Gender Differences in Tertiary Mathematics-Intensive Fields: A Critical Review of Social Cognitive Career Theory
Social Cognitive Career Theory (SCCT) has been extensively employed to elucidate the enduring gender differences in mathematics-intensive fields, with a particular emphasis on the complex interplay of motivational factors and extra-personal influences contributing to the underrepresentation of women. Although a plethora of empirical studies corroborate SCCT, three crucial aspects for refinement have come to the fore. First, the theory should place a more substantial emphasis on how cultural and…

Impulsive shock wave propagation in granular packings under gravity
S. van den Wildenberg, X. Nguyen, A. Tourin, X. Jia
https://arxiv.org/abs/2509.13860 https://

Impulsive shock wave propagation in granular packings under gravity
We experimentally investigate the impulsive shock propagation caused by an impact into vertically oriented 3D granular packings under gravity. We observe a crossover of wave propagation, from sound excitation at low impact to shock front formation at high impact. One of our findings is a nonlinear acoustic regime prior to the shock regime in which the wave speed decreases with the particle-velocity amplitude due to frictional sliding and rearrangement. Also, we show that the impulsive shock wav…

Regimes and Transitions of the Nonlinear Temporal Talbot Effect: Underlying Mechanism for A-Type Breathers, Soliton Crystals, and Soliton Gas
Marina Zajnulina
https://arxiv.org/abs/2508.12494

Regimes and Transitions of the Nonlinear Temporal Talbot Effect: Underlying Mechanism for A-Type Breathers, Soliton Crystals, and Soliton Gas
A frequency comb from a phase-modulated continuous-wave laser is subject to the temporal Talbot effect and modulational instability in an optical fiber or semiconductor. Using Soliton Radiation Beat Analysis and a dispersion relation for comb lines, I identify distinct regimes of the nonlinear Talbot effect of A-type breathers, soliton crystals, and soliton gas that arise from varying hierarchies of self-phase modulation, cross-phase modulation, and the type of four-wave mixing (regular vs. cas…

Der Cheetoführer
bot by @…
This is a joke, not a threat: rescind the warrant.
#satire #potus45

Warum der #GrimmeOnlineAward für #Mastodon und das #Fediverse ein Signal für Kommunikationsprofis ist erläutern wir in unserem aktuellen E-Mail-

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Holdout cross-validation for large non-Gaussian covariance matrix estimation using Weingarten calculus
Lamia Lamrani, Beno\^it Collins, Jean-Philippe Bouchaud
https://arxiv.org/abs/2509.13923

Holdout cross-validation for large non-Gaussian covariance matrix estimation using Weingarten calculus
Cross-validation is one of the most widely used methods for model selection and evaluation; its efficiency for large covariance matrix estimation appears robust in practice, but little is known about the theoretical behavior of its error. In this paper, we derive the expected Frobenius error of the holdout method, a particular cross-validation procedure that involves a single train and test split, for a generic rotationally invariant multiplicative noise model, therefore extending previous resu…

President Krasnov is a Russian asset.
Donald Trump Was Recruited by the KGB Under Codename ‘Krasnov’ Claims Former Soviet Spy Chief
https://www.bylinesupplement.com/p/breaking-crosspost-donald-trump-was

BREAKING CROSSPOST: Donald Trump Was Recruited by the KGB Under Codename ‘Krasnov’ Claims Former Soviet Spy Chief
Byline Times has crashed due to a DDOS attack and the original story blocked: a former senior KGB chief claims Trump was recruited by them in 1987 due to his role as a prominent US businessman

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
Yifan Hu, Jie Yang, Tian Zhou, Peiyuan Liu, Yujin Tang, Rong Jin, Liang Sun
https://arxiv.org/abs/2509.14181

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
Representation learning techniques like contrastive learning have long been explored in time series forecasting, mirroring their success in computer vision and natural language processing. Yet recent state-of-the-art (SOTA) forecasters seldom adopt these representation approaches because they have shown little performance advantage. We challenge this view and demonstrate that explicit representation alignment can supply critical information that bridges the distributional gap between input hist…

Is ChatGPT-5 Ready for Mammogram VQA?
Qiang Li, Shansong Wang, Mingzhe Hu, Mojtaba Safari, Zachary Eidex, Xiaofeng Yang
https://arxiv.org/abs/2508.11628 https://

Is ChatGPT-5 Ready for Mammogram VQA?
Mammogram visual question answering (VQA) integrates image interpretation with clinical reasoning and has potential to support breast cancer screening. We systematically evaluated the GPT-5 family and GPT-4o model on four public mammography datasets (EMBED, InBreast, CMMD, CBIS-DDSM) for BI-RADS assessment, abnormality detection, and malignancy classification tasks. GPT-5 consistently was the best performing model but lagged behind both human experts and domain-specific fine-tuned models. On EM…

Emergent momentum-space topological pseudospin defects in non-Hermitian systems
Yow-Ming Robin Hu, Elena A. Ostrovskaya, Alexander Yakimenko, Eliezer Estrecho
https://arxiv.org/abs/2509.14605

Emergent momentum-space topological pseudospin defects in non-Hermitian systems
Topological defects are central to modern physics, from spintronics to photonics, due to their robustness and potential application in information processing. In this work, we discuss topological point defects that spontaneously emerge at the imaginary Fermi arcs (degeneracy lines) in momentum space of two-dimensional systems described by non-Hermitian effective Hamiltonians. In particular, we consider a generic non-Hermitian Dirac model and a phenomenological model describing hybrid light-matt…

On a Dependently Typed Encoding of Matching Logic
\'Ad\'am Kurucz (E\"otv\"os Lor\'and University, Hungary), P\'eter Bereczky (E\"otv\"os Lor\'and University, Hungary), D\'aniel Horp\'acsi (E\"otv\"os Lor\'and University, Hungary)
https://arxiv.org/abs/2509.13018

On a Dependently Typed Encoding of Matching Logic
Matching logic is a general formal framework for reasoning about a wide range of theories, with particular emphasis on programming language semantics. Notably, the intermediate language of the K semantics framework is an extension of matching $μ$-logic, a sorted, polyadic variant of the logic. Metatheoretic reasoning requires the logic to be expressed within a foundational theory; opting for a dependently typed one enables well-sortedness in the object theory to correspond directly to well-typ…

2025 Week 3 NFL score predictions, odds, top picks today: Expert reveals exact scores for all 16 games

https://www.cbssports.com/nfl/news/2025-we

Equiangular tight frames in real symplectic space: Zauner's conjecture and the skew Hadamard conjecture
Kean Fallon
https://arxiv.org/abs/2509.14463 https://

Equiangular tight frames in real symplectic space: Zauner's conjecture and the skew Hadamard conjecture
We introduce the notion of equiangular tight frames in real symplectic spaces and formulate a conjecture on their existence in terms of the dimension and number of vectors. Our main results shows the "symplectic Zauner's conjecture" is equivalent to the skew Hadamard conjecture. The proof involves counting subgraphs called "diamonds" in tournaments.

LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought
Ruiyan Qi, Congding Wen, Weibo Zhou, Shangsong Liang, Lingbo Li
https://arxiv.org/abs/2508.11280

LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought
Evaluating large language models (LLMs) in specific domain like tourism remains challenging due to the prohibitive cost of annotated benchmarks and persistent issues like hallucinations. We propose $\textbf{L}$able-Free $\textbf{E}$valuation of LLM on $\textbf{T}$ourism using Expert $\textbf{T}$ree-$\textbf{o}$f-$\textbf{T}$hought (LETToT), a framework that leverages expert-derived reasoning structures-instead of labeled data-to access LLMs in tourism. First, we iteratively refine and validate …

The Italian federation of newspaper publishers submits a complaint to Italy's communication watchdog calling for an investigation into Google's AI Overviews (Angela Giuffrida/The Guardian)
https://www.theguardian.com/technology/202

Catalpa: GC for a Low-Variance Software Stack
Anthony Arnold, Mark Marron
https://arxiv.org/abs/2509.13429 https://arxiv.org/pdf/2509.13429

Catalpa: GC for a Low-Variance Software Stack
The performance of an application/runtime is usually conceptualized as a continuous function where, the lower the amount of memory/time used on a given workload, then the better the compiler/runtime is. However, in practice, good performance of an application is viewed as more of a binary function - either the application responds in under, say 100 ms, and is fast enough for a user to barely notice, or it takes a noticeable amount of time, leaving the user waiting and potentially abandoning the…

Dynamic syndrome decoder in volume-law phases of hybrid quantum circuits
Dawid Paszko, Marcin Szyniszewski, Arijeet Pal
https://arxiv.org/abs/2508.13045 https://

Dynamic syndrome decoder in volume-law phases of hybrid quantum circuits
Phases of matter with volume-law entanglement are frequently observed in quantum circuits and have numerous applications, ranging from deepening our understanding of quantum mechanics to advancements in quantum computing and cryptography. Their capacity to host entangled, complex quantum information is complemented by their ability to efficiently obscure it from quantum measurements through scrambling, reminiscent of quantum error-correction. However, the issue of initial-state decodability has…

The Hidden Cost of Correlation: Rethinking Privacy Leakage in Local Differential Privacy
Sandaru Jayawardana, Sennur Ulukus, Ming Ding, Kanchana Thilakarathna
https://arxiv.org/abs/2508.12539

The Hidden Cost of Correlation: Rethinking Privacy Leakage in Local Differential Privacy
Local differential privacy (LDP) has emerged as a promising paradigm for privacy-preserving data collection in distributed systems, where users contribute multi-dimensional records with potentially correlated attributes. Recent work has highlighted that correlation-induced privacy leakage (CPL) plays a critical role in shaping the privacy-utility trade-off under LDP, especially when correlations exist among attributes. Nevertheless, it remains unclear to what extent the prevailing assumptions a…

OASIS: Real-Time Opti-Acoustic Sensing for Intervention Systems in Unstructured Environments
Amy Phung, Richard Camilli
https://arxiv.org/abs/2508.12071 https://

OASIS: Real-Time Opti-Acoustic Sensing for Intervention Systems in Unstructured Environments
High resolution underwater 3D scene reconstruction is crucial for various applications, including construction, infrastructure maintenance, monitoring, exploration, and scientific investigation. Prior work has leveraged the complementary sensing modalities of imaging sonars and optical cameras for opti-acoustic 3D scene reconstruction, demonstrating improved results over methods which rely solely on either sensor. However, while most existing approaches focus on offline reconstruction, real-tim…

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
Miku Watanabe, Hao Li, Yutaro Kashiwa, Brittany Reid, Hajimu Iida, Ahmed E. Hassan
https://arxiv.org/abs/2509.14745

On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
Large language models (LLMs) are increasingly being integrated into software development processes. The ability to generate code and submit pull requests with minimal human intervention, through the use of autonomous AI agents, is poised to become a standard practice. However, little is known about the practical usefulness of these pull requests and the extent to which their contributions are accepted in real-world projects. In this paper, we empirically study 567 GitHub pull requests (PRs) gen…

Multiplicative Hitchin fibrations and Langlands duality
Guillermo Gallego
https://arxiv.org/abs/2509.14364 https://arxiv.org/pdf/2509.14364

Multiplicative Hitchin fibrations and Langlands duality
We identify pairs of (twisted) multiplicative Hitchin fibrations which are "dual" in the sense that their bases are identified and their generic fibres are dual Beilinson $1$-motives. More precisely, we match the following: (1) an untwisted multiplicative Hitchin fibration associated with a simply-laced semisimple group $G$ with an untwisted multiplicative Hitchin fibration associated with the Langlands dual group $G^\vee$; (2) a twisted multiplicative Hitchin fibration associated with a simply…

A Large-Scale Web Search Dataset for Federated Online Learning to Rank
Marcel Gregoriadis, Jingwei Kang, Johan Pouwelse
https://arxiv.org/abs/2508.12353 https://

A Large-Scale Web Search Dataset for Federated Online Learning to Rank
The centralized collection of search interaction logs for training ranking models raises significant privacy concerns. Federated Online Learning to Rank (FOLTR) offers a privacy-preserving alternative by enabling collaborative model training without sharing raw user data. However, benchmarks in FOLTR are largely based on random partitioning of classical learning-to-rank datasets, simulated user clicks, and the assumption of synchronous client participation. This oversimplifies real-world dynami…

How Concise are Chains of co-B\"uchi Automata?
R\"udiger Ehlers
https://arxiv.org/abs/2509.14087 https://arxiv.org/pdf/2509.14087

How Concise are Chains of co-Büchi Automata?
Chains of co-Büchi automata (COCOA) have recently been introduced as a new canonical model for representing arbitrary omega-regular languages. They can be minimized in polynomial time and are hence an attractive language representation for applications in which normally, deterministic omega-automata are used. While it is known how to build COCOA from deterministic parity automata, little is currently known about their relationship to automaton models introduced earlier than COCOA. In this pa…

Benchmarking Prosody Encoding in Discrete Speech Tokens
Kentaro Onda, Satoru Fukayama, Daisuke Saito, Nobuaki Minematsu
https://arxiv.org/abs/2508.11224 https://

Benchmarking Prosody Encoding in Discrete Speech Tokens
Recently, discrete tokens derived from self-supervised learning (SSL) models via k-means clustering have been actively studied as pseudo-text in speech language models and as efficient intermediate representations for various tasks. However, these discrete tokens are typically learned in advance, separately from the training of language models or downstream tasks. As a result, choices related to discretization, such as the SSL model used or the number of clusters, must be made heuristically. In…

Just The Gist
Great Australian Pods Podcast Directory: #GreatAusPods

MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering
Hikaru Asano, Hiroki Ouchi, Akira Kasuga, Ryo Yonetani
https://arxiv.org/abs/2508.11163

MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering
This paper presents MobQA, a benchmark dataset designed to evaluate the semantic understanding capabilities of large language models (LLMs) for human mobility data through natural language question answering. While existing models excel at predicting human movement patterns, it remains unobvious how much they can interpret the underlying reasons or semantic meaning of those patterns. MobQA provides a comprehensive evaluation framework for LLMs to answer questions about diverse human GPS traje…

Fermi-LAT Detected Gamma-ray Emission Likely Associated with SNR Kes 78
Yun-Zhi Shen, Yang Chen, Xiao Zhang, Chen Huang
https://arxiv.org/abs/2509.13812 https://

Fermi-LAT Detected Gamma-ray Emission Likely Associated with SNR Kes 78
We have analyzed the GeV gamma-ray emission in the region of the supernova remnant (SNR) Kes 78 using $\sim$16.7 years of Fermi-LAT observations and found that the catalog sources 4FGL J1852.4+0037e and 4FGL J1851.8$-$0007c are better represented as two extended sources modeled as `2Ext'. One of them, designated as E2, is located at R.A.$=282.86^\circ$, Dec.$=-0.11^\circ$ with the 68\% containment radius $R_{68} = 0.31^\circ$, and is detected with a significance of 15.2$σ$ in the 0.2--500 GeV …

The effect of matter discreteness on gravitational wave propagation in post-geometrical optics
Sena Atli, Syksy Rasanen
https://arxiv.org/abs/2509.13884 https://

The effect of matter discreteness on gravitational wave propagation in post-geometrical optics
The gravitational wave equation of motion includes direct coupling to the Riemann tensor. The curvature terms are usually neglected, but they can be large at the location of matter particles and impact the angular diameter distance. We apply the recently introduced post-geometrical optics approximation that includes curvature to gravitational wave propagation. Assuming that particles are localised within their Compton wavelength, the curvature due to electrons leads to a large effect on the ang…

Mixed finite element projection methods for the unsteady Brinkman equations
Costanza Aric\`o, Rainer Helmig, Ivan Yotov
https://arxiv.org/abs/2509.14059 https://

Mixed finite element projection methods for the unsteady Brinkman equations
We present $H(\text{div})$-conforming mixed finite element methods for the unsteady Brinkman equations for incompressible single-phase flow with fixed in space porous solid inclusions. We employ a projection scheme with incremental pressure correction, which requires at each time step the solution of a predictor and a projection problem. The predictor problem, which uses a stress-velocity mixed formulation, accounts for the viscous effects, while the projection problem, which is based on a velo…

Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position
Zhixin Xie, Xurui Song, Jun Luo
https://arxiv.org/abs/2508.12398 https://

Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position
Diffusion Large Language Models (dLLMs) have recently emerged as a competitive non-autoregressive paradigm due to their unique training and inference approach. However, there is currently a lack of safety study on this novel architecture. In this paper, we present the first analysis of dLLMs' safety performance and propose a novel safety alignment method tailored to their unique generation characteristics. Specifically, we identify a critical asymmetry between the defender and attacker in terms…

GeoAware-VLA: Implicit Geometry Aware Vision-Language-Action Model
Ali Abouzeid, Malak Mansour, Zezhou Sun, Dezhen Song
https://arxiv.org/abs/2509.14117 https://

GeoAware-VLA: Implicit Geometry Aware Vision-Language-Action Model
Vision-Language-Action (VLA) models often fail to generalize to novel camera viewpoints, a limitation stemming from their difficulty in inferring robust 3D geometry from 2D images. We introduce GeoAware-VLA, a simple yet effective approach that enhances viewpoint invariance by integrating strong geometric priors into the vision backbone. Instead of training a visual encoder or relying on explicit 3D data, we leverage a frozen, pretrained geometric vision model as a feature extractor. A trainabl…

Rigidity of strong and weak foliations
Boris Kalinin, Victoria Sadovskaya
https://arxiv.org/abs/2509.13986 https://arxiv.org/pdf/2509.13986

Rigidity of strong and weak foliations
We consider a perturbation $f$ of a hyperbolic toral automorphism $L$. We study rigidity related to exceptional properties of the strong and weak stable foliations for $f$. If the strong foliation is mapped to the linear one by the conjugacy $h$ between $f$ and $L$, we obtain smoothness of $h$ along the weak foliation and regularity of the joint foliation of the strong and unstable foliations. We also establish a similar global result. If the weak foliation is sufficiently regular, we obtain sm…

Optical Cavity in Relativistic Regime for Laser Propulsion
Francesco Lorenzi, Luca Salasnich, Maria Guglielmina Pelizzo
https://arxiv.org/abs/2508.12442 https://

Optical Cavity in Relativistic Regime for Laser Propulsion
Laser propulsion has been proposed for relativistic interstellar flights, but it faces the significant challenge of requiring extremely powerful laser radiation due to the inherently low momentum transfer between the beam and the sail. The photon-recycling technique enhances thrust by transferring momentum through multiple reflections within a cavity setup, formed by the lightsail and a ground-based mirror in a laser system array. In this work, a delay differential model is developed to describ…

Data-driven Methods of Extracting Text Structure and Information Transfer
Shinichi Honna, Taichi Murayama, Akira Matsui
https://arxiv.org/abs/2509.12999 https://

Data-driven Methods of Extracting Text Structure and Information Transfer
The Anna Karenina Principle (AKP) holds that success requires satisfying a small set of essential conditions, whereas failure takes diverse forms. We test AKP, its reverse, and two further patterns described as ordered and noisy across novels, online encyclopedias, research papers, and movies. Texts are represented as sequences of functional blocks, and convergence is assessed in transition order and position. Results show that structural principles vary by medium: novels follow reverse AKP in …

Statistical Properties of Current Noise Induced by Electron-Phonon Scattering in Metallic Carbon Nanotubes
Aina Sumiyoshi, Keisuke Ishizeki, Takahiro Yamamoto
https://arxiv.org/abs/2508.11201

Statistical Properties of Current Noise Induced by Electron-Phonon Scattering in Metallic Carbon Nanotubes
We theoretically investigate current noise in metallic carbon nanotubes induced by electron-phonon scattering, focusing on the probability density function (PDF) of the current that characterizes the nonequilibrium steady state. Quantum transport simulations combined with analyses of higher-order statistical moments reveal that the PDF evolves continuously from a Gaussian distribution in the ballistic regime to a non-Gaussian gamma distribution in the diffusive regime. In the crossover regime, …

Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
John Alderete, Macarious Kin Fung Hui, Aanchan Mohan
https://arxiv.org/abs/2508.13060

Evaluating ASR robustness to spontaneous speech errors: A study of WhisperX using a Speech Error Database
The Simon Fraser University Speech Error Database (SFUSED) is a public data collection developed for linguistic and psycholinguistic research. Here we demonstrate how its design and annotations can be used to test and evaluate speech recognition models. The database comprises systematically annotated speech errors from spontaneous English speech, with each error tagged for intended and actual error productions. The annotation schema incorporates multiple classificatory dimensions that are of so…

President Trump says he has filed a $15B defamation and libel lawsuit against The New York Times, accusing it of serving as a "mouthpiece" for the Democrats (Alastair Gale/Bloomberg)
https://www.bloomberg.com/news/articles/20

InterKey: Cross-modal Intersection Keypoints for Global Localization on OpenStreetMap
Nguyen Hoang Khoi Tran, Julie Stephany Berrio, Mao Shan, Stewart Worrall
https://arxiv.org/abs/2509.13857

InterKey: Cross-modal Intersection Keypoints for Global Localization on OpenStreetMap
Reliable global localization is critical for autonomous vehicles, especially in environments where GNSS is degraded or unavailable, such as urban canyons and tunnels. Although high-definition (HD) maps provide accurate priors, the cost of data collection, map construction, and maintenance limits scalability. OpenStreetMap (OSM) offers a free and globally available alternative, but its coarse abstraction poses challenges for matching with sensor data. We propose InterKey, a cross-modal framework…

First Detection of X-ray Polarization and Its Short-term Increase Pre- and Post-Eclipse in HMXB 4U 1700-377
Kaito Ninoyu, Keisuke Uchiyama, Shinya Yamada, Ryota Hayakawa, Shunji Kitamoto, Nao Kominato, Takayoshi Kohmura, Misaki Mizumoto, Yuusuke Uchida, Toru Tamagawa, Ryota Tomaru, Seoru Ito
https://arxiv.org/abs/2509.14494

First Detection of X-ray Polarization and Its Short-term Increase Pre- and Post-Eclipse in HMXB 4U 1700-377
We report the first statistically significant detection of X-ray polarization from the high-mass X-ray binary (HMXB) 4U 1700-377, observed using the Imaging X-ray Polarimetry Explorer (IXPE). A polarization degree exceeding 10% was detected above 5 keV, placing it among the highest polarization observed in HMXBs to date. The observation was conducted over a full orbital period of the binary system, during which several sporadic and instantaneous flares were detected. We identify a clear correla…

An LLM Agent-Based Complex Semantic Table Annotation Approach
Yilin Geng, Shujing Wang, Chuan Wang, Keqing He, Yanfei Lv, Ying Wang, Zaiwen Feng, Xiaoying Bai
https://arxiv.org/abs/2508.12868

An LLM Agent-Based Complex Semantic Table Annotation Approach
The Semantic Table Annotation (STA) task, which includes Column Type Annotation (CTA) and Cell Entity Annotation (CEA), maps table contents to ontology entities and plays important roles in various semantic applications. However, complex tables often pose challenges such as semantic loss of column names or cell values, strict ontological hierarchy requirements, homonyms, spelling errors, and abbreviations, which hinder annotation accuracy. To address these issues, this paper proposes an LLM-bas…

Metas KI-Chatbot-Richtlinien: US-Senator will Untersuchung starten
Nach Bekanntwerden von Metas Richtlinie für KI-Chatbots will der erste US-Senator eine offizielle Ermittlung und verlangt das Sichern von Beweismitteln.

Mango Zedong
bot by @…
This is for tee hee, not treason: rescind the warrant.
#satire #potus45

PA-MPPI: Perception-Aware Model Predictive Path Integral Control for Quadrotor Navigation in Unknown Environments
Yifan Zhai, Rudolf Reiter, Davide Scaramuzza
https://arxiv.org/abs/2509.14978

PA-MPPI: Perception-Aware Model Predictive Path Integral Control for Quadrotor Navigation in Unknown Environments
Quadrotor navigation in unknown environments is critical for practical missions such as search-and-rescue. Solving it requires addressing three key challenges: the non-convexity of free space due to obstacles, quadrotor-specific dynamics and objectives, and the need for exploration of unknown regions to find a path to the goal. Recently, the Model Predictive Path Integral (MPPI) method has emerged as a promising solution that solves the first two challenges. By leveraging sampling-based optimiz…

Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D Reconstruction
Mustafa Khanbhai, Giulia Di Nardo, Jun Ma, Vivienne Freitas, Caterina Masino, Ali Dolatabadi, Zhaoxun "Lorenz" Liu, Wey Leong, Wagner H. Souza, Amin Madani
https://arxiv.org/abs/2509.12242

Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D Reconstruction
Effective preoperative planning requires accurate algorithms for segmenting anatomical structures across diverse datasets, but traditional models struggle with generalization. This study presents a novel machine learning methodology to improve algorithm generalization for 3D anatomical reconstruction beyond breast cancer applications. We processed 120 retrospective breast MRIs (January 2018-June 2023) through three phases: anonymization and manual segmentation of T1-weighted and dynamic contras…

Bulk photovoltaic effects in the Haldane model
Bo-Xin Lin, Hsiu-Chuan Hsu
https://arxiv.org/abs/2508.12414 https://arxiv.org/pdf/2508.12414

Bulk photovoltaic effects in the Haldane model
The bulk photovoltaic effect (BPVE) refers to the direct current generation in a noncentrosymmetric material under illumination and can be applied to solar energy technology. BPVE includes injection and shift currents, led by the change of velocity and displacement of wave packet during optical transitions, respectively. We derive the constraints on the conductivity tensors imposed by mirror-time ($\mathcal{MT}$) symmetry for two-dimensional systems. For the Haldane model, we show that linearly…

Try-Mopsa: Relational Static Analysis in Your Pocket
Rapha\"el Monat
https://arxiv.org/abs/2509.13128 https://arxiv.org/pdf/2509.13128

Try-Mopsa: Relational Static Analysis in Your Pocket
Static analyzers are complex pieces of software with large dependencies. They can be difficult to install, which hinders adoption and creates barriers for students learning static analysis. This work introduces Try-Mopsa: a scaled-down version of the Mopsa static analysis platform, compiled into JavaScript to run purely as a client-side application in web browsers. Try-Mopsa provides a responsive interface that works on both desktop and mobile devices. Try-Mopsa features all the core components…

Ab 2028: EU erweitert USB-C-Pflicht auf Ladegeräte
Die EU-Kommission erweitert Auflagen für externe Ladegeräte: Netzteile müssen ab 2028 effizienter werden und über USB-C-Anschlüsse verfügen.
https://www.

Diode Effect for Skyrmions Interacting with Linear Protrusion Defects
J. C. Bellizotti Souza, C. J. O. Reichhardt, C. Reichhardt, N. P. Vizarim, P. A. Venegas
https://arxiv.org/abs/2508.12090

Diode Effect for Skyrmions Interacting with Linear Protrusion Defects
We simulate collectively interacting skyrmions in a channel with periodic asymmetry, and find a strong diode effect for the skyrmion flow. There is also an asymmetry in the skyrmion annihilation rate for currents applied along the hard or easy substrate asymmetry direction, with a higher annihilation rate for hard direction currents. We map out the diode efficiency as a function of magnetic field and substrate asymmetry angle. We also show that the Magnus force impacts the diode motion and anni…

Misere bei der DB: Bahnchef Lutz gefeuert
Richard Lutz erlebte als Bahnchef krisenreiche Zeiten – seit Jahren kommt der Konzern nicht zur Ruhe. Nun soll ein Wechsel an der Spitze den Umschwung bringen.
https://www.