Tootfinder

Automatic Model Extraction of the Match Standard in Symmetric--Reciprocal--Match Calibration
Ziad Hatab, Michael Ernst Gadringer, Arash Arsanjani, Wolfgang Boesch
https://arxiv.org/abs/2509.18426

There actually is good news - which we shouldn't forget.
https://www.theguardian.com/science/2025/sep/24/huntingtons-disease-treated-successfully-for-first-time-in-gene-therapy-trial…

There actually is good news - which we shouldn't forget.
https://www.theguardian.com/science/2025/sep/24/huntingtons-disease-treated-successfully-for-first-time-in-gene-therapy-trial…

Sam LaPorta undergoes back procedure, chances of returning to Lions this season are 'very slim'

https://www.cbssports.com/nfl/news/sam-laporta-injury-updates-lions-te-2025/

YOLO-LAN: Precise Polyp Detection via Optimized Loss, Augmentations and Negatives
Siddharth Gupta, Jitin Singla
https://arxiv.org/abs/2509.19166 https://ar…

Enhanced Survival Trees
Ruiwen Zhou, Ke Xie, Lei Liu, Zhichen Xu, Jimin Ding, Xiaogang Su
https://arxiv.org/abs/2509.18494 https://arxiv.org/pdf/2509.18494…

Enhanced Survival Trees
We introduce a new survival tree method for censored failure time data that incorporates three key advancements over traditional approaches. First, we develop a more computationally efficient splitting procedure that effectively mitigates the end-cut preference problem, and we propose an intersected validation strategy to reduce the variable selection bias inherent in greedy searches. Second, we present a novel framework for determining tree structures through fused regularization. In combinati…

Artificial Bottleneck Effect in Large Eddy Simulations
Mostafa Kamal, Perry L. Johnson
https://arxiv.org/abs/2509.18512 https://arxiv.org/pdf/2509.18512

Lions TE Sam LaPorta has 'very slim' chance of returning this season after back procedure https://www.nytimes.com/athletic/6826823/2025/11/21/lions-sam-laporta-back-season/

Exact Lagrangian fillings of twist-spun torus links
Vincent Chen, Patton Galloway, James Hughes, Luciana Wei
https://arxiv.org/abs/2509.19095 https://arxiv…

Today at VU Amsterdam for the PhD defense of Shuai Wang. I really liked the traditional and formal procedure in the Netherlands how they conduct a PhD defense and the subsequent investiture of the new PhD.
#PhD #academiclife

Public hospital procedure for gastroscopy and colonoscopy. Husband is on a disability pension but that is not relevant in this case.
Obviously he has to take the prep beforehand - which he needs to get from a chemist as TCH no longer supplies it as part of the procedure??? - and it costs about $39 for the 3 sachets he has to take beforehand.
Okay, now we can afford this but it seems to me that it could be quite a stumbling block for those who can't.
Don't get me w…

As the system comes up, the component builders will from time to time appear,
bearing hot new versions of their pieces -- faster, smaller, more complete,
or putatively less buggy. The replacement of a working component by a new
version requires the same systematic testing procedure that adding a new
component does, although it should require less time, for more complete and
efficient test cases will usually be available.
-- Frederick Brooks Jr., "The Myt…

Sending women who get abortions to prison for decades.
Outlawing IUDs.
Sharply restricting in-vitro fertilization.
These are the strictest abortion prohibitions and punishments in the nation being considered by South Carolina lawmakers,
even as opponents of the procedure are divided over how far to go.
The bill faces a long legislative path and uncertain prospects, even if it clears the state Senate subcommittee that’s reviewing it.
But the measure up for a …

South Carolina senators to debate strict abortion proposal Tuesday
A group of South Carolina senators plans to consider a proposal that could introduce the strictest abortion prohibitions and punishments in the nation. The bill, which faces a long legislative process, highlights ongoing divisions in conservative states over abortion. It proposes banning all abortions unless the woman's life is at risk and could criminalize those who assist in abortions. The proposal has split anti-abortion groups, with some opposing punishment for women. The bill's future is u…

An Anytime, Scalable and Complete Algorithm for Embedding a Manufacturing Procedure in a Smart Factory
Christopher Leet, Aidan Sciortino, Sven Koenig
https://arxiv.org/abs/2510.01770

An Anytime, Scalable and Complete Algorithm for Embedding a Manufacturing Procedure in a Smart Factory
Modern automated factories increasingly run manufacturing procedures using a matrix of programmable machines, such as 3D printers, interconnected by a programmable transport system, such as a fleet of tabletop robots. To embed a manufacturing procedure into a smart factory, an operator must: (a) assign each of its processes to a machine and (b) specify how agents should transport parts between machines. The problem of embedding a manufacturing process into a smart factory is termed the Smart Fa…

"Le cas du député Emmanuel Pellerin révèle les contradictions entre le discours politique intransigeant Š l’égard de la consommation de drogues et la réalité de la réponse judiciaire quand un élu est mis cause pour de tels faits" résume le tribunal dans son jugement, en indiquant que ces révélations portent pleinement sur un « sujet d’intérêt général ».
C'est compliqué, apparemment, pour un avocat-député de comprendre cette notion d'intérêt général.

Cocaïne en politique : l’ex-député Pellerin condamné pour procédure abusive contre Mediapart
Le tribunal de Paris a relaxé Mediapart du procès en diffamation que lui avait intenté l’ancien élu Renaissance Emmanuel Pellerin. Il a même condamné l’ex-député, avocat de profession, au paiement de dommages et intérêts.

Eagles DT Jalen Carter week to week after undergoing procedure on shoulders https://www.nfl.com/news/eagles-dt-jalen-carter-week-to-week-procedure-shoulders

Cut-elimination for the alternation-free modal mu-calculus
Bahareh Afshari, Johannes Kloibhofer
https://arxiv.org/abs/2510.11293 https://arxiv.org/pdf/2510…

Cut-elimination for the alternation-free modal mu-calculus
We present a syntactic cut-elimination procedure for the alternation-free fragment of the modal mu-calculus. Cut reduction is carried out within a cyclic proof system, where proofs are finitely branching but may be non-wellfounded. The structure of such proofs is exploited to directly transform a cyclic proof with cuts into a cut-free one, without detouring through other logics or relying on intermediate machinery for regularisation. Novel ingredients include the use of multicuts and results fr…

Random thought: if a nuke plant worker has a nuclear medicine procedure done, do they have to stay home on medical leave until it's completely decayed/excreted or are there policies to handle hot employees?

Selection Procedures in Competitive Admission
Nathan Hancart
https://arxiv.org/abs/2510.12653 https://arxiv.org/pdf/2510.12653

Selection Procedures in Competitive Admission
Two identical firms compete to attract and hire from a pool of candidates of unknown productivity. Firms simultaneously post a selection procedure which consists of a test and an acceptance probability for each test outcome. After observing the firms' selection procedures, each candidate can apply to one of them. Both firms have access to a limited set of feasible tests. The firms face two key considerations when choosing their selection procedure: the statistical properties of their test and t…

The latest issue of the journal I edit - the Canadian Historical Review - dropped last week. It includes articles on the influence of Indigenous practices on European medicine (it'll help you understand the origins of the term "blowing smoke up your ass" too), First Nations' dispossession and the funding of settlement, early campaigns for the abolition of the death penalty, Trudeau's return to power in 1980, and the UN's World Refugee Year.
Check it out.

Reinforced sequential Monte Carlo for amortised sampling
Sanghyeok Choi, Sarthak Mittal, V\'ictor Elvira, Jinkyoo Park, Nikolay Malkin
https://arxiv.org/abs/2510.11711 https…

Reinforced sequential Monte Carlo for amortised sampling
This paper proposes a synergy of amortised and particle-based methods for sampling from distributions defined by unnormalised density functions. We state a connection between sequential Monte Carlo (SMC) and neural sequential samplers trained by maximum-entropy reinforcement learning (MaxEnt RL), wherein learnt sampling policies and value functions define proposal kernels and twist functions. Exploiting this connection, we introduce an off-policy RL training procedure for the sampler that uses …

SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
Marc Brinner, Sina Zarrie{\ss}
https://arxiv.org/abs/2510.11599

SemCSE-Multi: Multifaceted and Decodable Embeddings for Aspect-Specific and Interpretable Scientific Domain Mapping
We propose SemCSE-Multi, a novel unsupervised framework for generating multifaceted embeddings of scientific abstracts, evaluated in the domains of invasion biology and medicine. These embeddings capture distinct, individually specifiable aspects in isolation, thus enabling fine-grained and controllable similarity assessments as well as adaptive, user-driven visualizations of scientific domains. Our approach relies on an unsupervised procedure that produces aspect-specific summarizing sentences…

Active Subspaces in Infinite Dimension
Poorbita Kundu, Nathan Wycoff
https://arxiv.org/abs/2510.11871 https://arxiv.org/pdf/2510.11871

Active Subspaces in Infinite Dimension
Active subspace analysis uses the leading eigenspace of the gradient's second moment to conduct supervised dimension reduction. In this article, we extend this methodology to real-valued functionals on Hilbert space. We define an operator which coincides with the active subspace matrix when applied to a Euclidean space. We show that many of the desirable properties of Active Subspace analysis extend directly to the infinite dimensional setting. We also propose a Monte Carlo procedure and discus…

“Pete Hegseth, much like the president he serves, sees himself as, essentially, above the law, as unconstrained by legal procedure.”
Foreign policy analyst Matt Duss discusses the brewing conflict within the Trump administration over the leadership of Defense Secretary Pete Hegseth,
including his involvement in a leaked announcement of U.S. strikes on Yemen in March
and the chain of command behind U.S. strikes on boats in the Caribbean Sea and the eastern Pacific Ocean.

Will Hegseth Go? Defense Secretary Faces Anger from Congress over Boat Strikes, Signal Chat
“Pete Hegseth, much like the president he serves, sees himself as, essentially, above the law, as unconstrained by legal procedure.” Foreign policy analyst Matt Duss discusses the brewing conflict within the Trump administration over the leadership of Defense Secretary Pete Hegseth, including his involvement in a leaked announcement of U.S. strikes on Yemen in March and the chain of command behind U.S. strikes on boats in the Caribbean Sea and the eastern Pacific Ocean. Legal experts say th…

Series B, Episode 10 - Voice from the Past
BLAKE: Guilty.
ORAC: No. Conditioned under hypnosis.
BLAKE: No. No.
ORAC: Yes, Blake. Standard hypnotic procedure, audio pulse signals with visual support...
BLAKE: False.
https://blake.torpidity.net/m/210/139 B7B6

Evolution With(out) Time: Relational Holography & BPS Complexity Growth in $\mathcal{N}=2$ Double-Scaled SYK
Sergio E. Aguilar-Gutierrez
https://arxiv.org/abs/2510.11777 htt…

Evolution With(out) Time: Relational Holography & BPS Complexity Growth in $\mathcal{N}=2$ Double-Scaled SYK
How do we describe non-trivial bulk measurements relative to an observer (i.e. relationally) when both the observer and the system it probes may/may not evolve in time? How can we interpret this holographically; particularly for zero-energy BPS states in supersymmetric theories? We address these questions, in the $\mathcal{N}=2$ double-scaled SYK model and its putative bulk dual by: (i) formulating a holographic procedure in the language of quantum reference frames to gravitationally dress bulk…

Simplified Quantum Weight Reduction with Optimal Bounds
Min-Hsiu Hsieh, Xingjian Li, Ting-Chun Lin
https://arxiv.org/abs/2510.09601 https://arxiv.org/pdf/2…

Simplified Quantum Weight Reduction with Optimal Bounds
Quantum weight reduction is the task of transforming a quantum code with large check weight into one with small check weight. Low-weight codes are essential for implementing quantum error correction on physical hardware, since high-weight measurements cannot be executed reliably. Weight reduction also serves as a critical theoretical tool, which may be relevant to the quantum PCP conjecture. We introduce a new procedure for quantum weight reduction that combines geometric insights with coning…

Today I had to go to the dentist, to have a filling replaced. My dentist is a small young woman from Glasgow, very competent, who chats cheerily through the whole procedure.
But I was thinking of @… , a poet from #Gaza who wants to be a dentist, and wh…

Urgent help for Ahmed's family
"I’m tired, Mama. I’m thinking of the hours that I'll spend tomorrow in the water line." – says 9 year old Ahmed to his mother before going to sleep.

Eagles DT Jalen Carter undergoes procedure on both shoulders, out vs. Chargers: Source https://www.nytimes.com/athletic/6862540/2025/12/04/eagles-jalen-carter-procedure-shoulder-injury/

I spent some more time on AI coding evaluation tooling using the new #AWS open source Standard Operating Procedure system, and now I have an automated leader board. It rates the #Claude-flow hive mind version as better than the Claude-flow swarm version from a month before. Next step is to run some more …

Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications
Daniel Seifert, Onur G\"unl\"u, Rafael F. Schaefer
https://arxiv.org/abs/2510.11418

Forward-Forward Autoencoder Architectures for Energy-Efficient Wireless Communications
The application of deep learning to the area of communications systems has been a growing field of interest in recent years. Forward-forward (FF) learning is an efficient alternative to the backpropagation (BP) algorithm, which is the typically used training procedure for neural networks. Among its several advantages, FF learning does not require the communication channel to be differentiable and does not rely on the global availability of partial derivatives, allowing for an energy-efficient i…

Construction of Basis Functions for the Geometry Conforming Immersed Finite Element Method
Slimane Adjerid, Tao Lin, Haroun Meghaichi
https://arxiv.org/abs/2510.12018 https://…

Construction of Basis Functions for the Geometry Conforming Immersed Finite Element Method
The Frenet apparatus is a new framework for constructing high order geometry-conforming immersed finite element functions for interface problems. In this report, we present a procedure for constructing the local IFE bases in some detail as well as a new approach for constructing orthonormal bases using the singular value decomposition of the local generalized Vandermonde matrix. A sample implementation in MATLAB is provided to showcase the simplicity and extensionability of the framework.

Vulnerability Analysis Evaluating Bilevel Optimal Power Flow Approaches for Multiple Load Cases
Eric T\"onges, Martin Braun, Philipp H\"artel
https://arxiv.org/abs/2510.01073

Vulnerability Analysis Evaluating Bilevel Optimal Power Flow Approaches for Multiple Load Cases
This work presents two methodologies to enhance vulnerability assessment in power systems using bilevel attacker-defender network interdiction models. First, we introduce a systematic evaluation procedure for comparing different optimal power flow formulations in the lower-level problem. We demonstrate the procedure for a comparison of the widely used DC approximation and a linearized AC optimal power flow model. Second, we propose a novel scoring methodology to identify and prioritize critical…

Building Whitespace-Sensitive Languages Using Whitespace-Insensitive Components
Alexander Hellwig, Nico Jansen, Bernhard Rumpe
https://arxiv.org/abs/2510.08200 https://

Building Whitespace-Sensitive Languages Using Whitespace-Insensitive Components
In Software Language Engineering, there is a trend towards reusability by composing modular language components. However, this reusability is severely inhibited by a gap in integrating whitespace-sensitive and whitespace-insensitive languages. There is currently no consistent procedure for seamlessly reusing such language components in both cases, such that libraries often cannot be reused, and whitespacesensitive languages are developed from scratch. This paper presents a technique for using m…

Optimization procedure of the baffle of the GroundBIRD Telescope to mitigate stray light
Miku Tsujii, Tomonaga Tanaka, Alessandro Fasano, Ricardo G\'enova-Santos, Shunsuke Honda, Yonggil Jo, Keisuke Kataoka, Chiko Otani, Mike Peel, Junya Suzuki, Osamu Tajima, Eunil Won, Makoto Hattori
https://arxiv.org/abs/2509.22071

Optimization procedure of the baffle of the GroundBIRD Telescope to mitigate stray light
We presented the optimization procedures of the baffle mounted on the GroundBIRD telescope for measuring the polarization of the Cosmic Microwave Background~(CMB). The telescope employs dual mirror reflective telescopes installed in a cryostat. The primary objectives were to minimize stray light contamination, maintain the integrity of the main beam, and ensure that thermal loading from the baffle remains significantly below that from the atmosphere. Using quasi-optical simulations, we have opt…

On the Fourier dimension of fractional Brownian graphs
Cheuk Yin Lee, Samy Tindel
https://arxiv.org/abs/2510.09818 https://arxiv.org/pdf/2510.09818

On the Fourier dimension of fractional Brownian graphs
In this note we prove that the Fourier dimension of the graph $G(B)$ of a fractional Brownian motion $B$ with Hurst parameter $H\in(0,1/2)$ is equal to 1. This finishes to solve a conjecture by Fraser and Sahlsten. It also yields an exact formula for the gap $\dim_{\rm H}(G(B)) - \dim_{\rm F}(G(B))$ between the Hausdorff dimension and the Fourier dimension of $G(B)$. The proof is based on an intricate combinatorics procedure for multiple integrals related to the covariance function of the fract…

Denoised IPW-Lasso for Heterogeneous Treatment Effect Estimation in Randomized Experiments
Mingqian Guan, Komei Fujita, Naoya Sueishi, Shota Yasui
https://arxiv.org/abs/2510.10527

Denoised IPW-Lasso for Heterogeneous Treatment Effect Estimation in Randomized Experiments
This paper proposes a new method for estimating conditional average treatment effects (CATE) in randomized experiments. We adopt inverse probability weighting (IPW) for identification; however, IPW-transformed outcomes are known to be noisy, even when true propensity scores are used. To address this issue, we introduce a noise reduction procedure and estimate a linear CATE model using Lasso, achieving both accuracy and interpretability. We theoretically show that denoising reduces the predictio…

PentestMCP: A Toolkit for Agentic Penetration Testing
Zachary Ezetta, Wu-chang Feng
https://arxiv.org/abs/2510.03610 https://arxiv.org/pdf/2510.03610

PentestMCP: A Toolkit for Agentic Penetration Testing
Agentic AI is transforming security by automating many tasks being performed manually. While initial agentic approaches employed a monolithic architecture, the Model-Context-Protocol has now enabled a remote-procedure call (RPC) paradigm to agentic applications, allowing for the flexible construction and composition of multi-function agents. This paper describes PentestMCP, a library of MCP server implementations that support agentic penetration testing. By supporting common penetration testing…

From Dirac to Dunkl Operators through Symmetry Reduction
Cristina Sard\'on
https://arxiv.org/abs/2510.08283 https://arxiv.org/pdf/2510.08283

From Dirac to Dunkl Operators through Symmetry Reduction
This paper presents a geometric and analytic derivation of Dirac--Dunkl operators as symmetry reductions of the flat Dirac operator on Euclidean space. Starting from the standard Dirac operator, we restrict to a fundamental Weyl chamber of a finite Coxeter group equipped with the Heckman--Opdam measure, and determine the necessary drift and reflection corrections that ensure formal skew--adjointness under this weighted geometry. This procedure naturally reproduces the Dunkl operators as the uni…

The Pitfalls of Continuous Heavy-Tailed Distributions in High-Frequency Data Analysis
Vladim\'ir Hol\'y
https://arxiv.org/abs/2510.09785 https://ar…

The Pitfalls of Continuous Heavy-Tailed Distributions in High-Frequency Data Analysis
We address the challenges of modeling high-frequency integer price changes in financial markets using continuous distributions, particularly the Student's t-distribution. We demonstrate that traditional GARCH models, which rely on continuous distributions, are ill-suited for high-frequency data due to the discreteness of price changes. We propose a modification to the maximum likelihood estimation procedure that accounts for the discrete nature of observations while still using continuous distr…

The European Union on Friday
indefinitely froze Russia’s assets in Europe
to ensure that Hungary and Slovakia,
both with Moscow-friendly governments,
can’t prevent the billions of euros from being used to support Ukraine.
Using a special procedure meant for economic emergencies,
the EU blocked the assets until Russia gives up its war on Ukraine
and compensates its neighbor for the heavy damage that it has inflicted for almost four years.
EU Cou…

EU set to lock up Russia's frozen assets so Hungary and Slovakia can't veto their use for Ukraine
The European Union is set to lock up Russia’s assets in Europe until Russia ends its war on Ukraine and compensates for the damage. The move expected on Friday would allow EU leaders to decide how to use Russian Central Bank assets to support Ukraine financially and militarily when they hold a summit next week. Hungarian Prime Minister Viktor Orbán opposes the decision. He has accused the European Commission of “raping European law.” The EU has frozen $247 billion in Russian assets. Most…

Discrete non-abelian X-ray transforms
Pranav Gupta, Roman Novikov
https://arxiv.org/abs/2510.09611 https://arxiv.org/pdf/2510.09611

Discrete non-abelian X-ray transforms
We define a discrete version of the non-abelian X-ray transform, going back in particular to Manakov, Zakharov (1981) and Strichartz (1982). We extend to this transform non-overdetermined reconstruction results obtained for the abelian case in the recent article by Novikov, Sharma (2025). In addition, we establish relations with the continuous non-abelian X-ray transform. In this respect, our results include an explicit and exact non-overdetermined layer-stripping reconstruction procedure for p…

Optimised neural networks for online processing of ATLAS calorimeter data on FPGAs
Georges Aad, Raphael Bertrand, Lauri Laatu, Emmanuel Monnier, Arno Straessner, Nairit Sur, Johann C. Voigt
https://arxiv.org/abs/2510.11469

Optimised neural networks for online processing of ATLAS calorimeter data on FPGAs
A study of neural network architectures for the reconstruction of the energy deposited in the cells of the ATLAS liquid-argon calorimeters under high pile-up conditions expected at the HL-LHC is presented. These networks are designed to run on the FPGA-based readout hardware of the calorimeters under strict size and latency constraints. Several architectures, including Dense, Recurrent (RNN), and Convolutional (CNN) neural networks, are optimised using a Bayesian procedure that balances energy …

How to invert well-pointed endofunctors
Matt Booth
https://arxiv.org/abs/2510.02277 https://arxiv.org/pdf/2510.02277

How to invert well-pointed endofunctors
In this short note we observe that Kelly's transfinite construction of free algebras yields a way to invert well-pointed endofunctors. In enriched settings, this recovers constructions of Keller, Seidel, and Chen-Wang. We also relate this procedure to localisation by spectra and to Heller's stabilisation.

Some Reflections on Sliding Mode Designs in Control Systems: An Example of Adaptive Tracking Control for Simple Mechanical Systems With Friction Without Measurement of Velocity
Romeo Ortega, Leyan Fang, Jose Guadalupe Romero
https://arxiv.org/abs/2510.07675

Some Reflections on Sliding Mode Designs in Control Systems: An Example of Adaptive Tracking Control for Simple Mechanical Systems With Friction Without Measurement of Velocity
The objective of this note is to share some reflections of the authors regarding the use of sliding mode designs in control systems. We believe the abundant, and ever increasing, appearance of this kind of works on our scientific publications deserves some critical evaluation of their actual role, relevance and pertinence. First, we discuss the procedure followed by most of these designs -- illustrated with examples from the literature. Second, we bring to the readers attention several aspects …

Dulin, S., Mitoulis, SA., Bredikhin, A. et al. 3 November 2025
"Rethinking infrastructure design from component failure to systemic resilience."
Nature Communications 16, 9681 (2025).
https://doi.org/10.1038/s41467-025-64683-6
pdf:

Kinetic collisionless model of the solar transition region and corona with spatially intermittent heating
Luca Barbieri, Pascal D\'emoulin
https://arxiv.org/abs/2510.05954 h…

Kinetic collisionless model of the solar transition region and corona with spatially intermittent heating
We develop a three-dimensional kinetic model of the solar transition region and corona in which the plasma above the chromosphere is collisionless and embedded in a uniform magnetic field. Heating occurs intermittently at discrete locations on the chromospheric surface, modeled through a surface coarse-graining procedure that produces non-thermal boundary conditions for the Vlasov equation. The resulting stationary distribution functions generate suprathermal particle populations and naturally …

Modeling, Segmenting and Statistics of Transient Spindles via Two-Dimensional Ornstein-Uhlenbeck Dynamics
C. Sun, D. Fettahoglu, D. Holcman
https://arxiv.org/abs/2512.10844 https://arxiv.org/pdf/2512.10844 https://arxiv.org/html/2512.10844
arXiv:2512.10844v1 Announce Type: new
Abstract: We develop here a stochastic framework for modeling and segmenting transient spindle- like oscillatory bursts in electroencephalogram (EEG) signals. At the modeling level, individ- ual spindles are represented as path realizations of a two-dimensional Ornstein{Uhlenbeck (OU) process with a stable focus, providing a low-dimensional stochastic dynamical sys- tem whose trajectories reproduce key morphological features of spindles, including their characteristic rise{decay amplitude envelopes. On the signal processing side, we propose a segmentation procedure based on Empirical Mode Decomposition (EMD) combined with the detection of a central extremum, which isolates single spindle events and yields a collection of oscillatory atoms. This construction enables a systematic statistical analysis of spindle features: we derive empirical laws for the distributions of amplitudes, inter-spindle intervals, and rise/decay durations, and show that these exhibit exponential tails consistent with the underlying OU dynamics. We further extend the model to a pair of weakly coupled OU processes with distinct natural frequencies, generating a stochastic mixture of slow, fast, and mixed spindles in random temporal order. The resulting framework provides a data- driven framework for the analysis of transient oscillations in EEG and, more generally, in nonstationary time series.
toXiv_bot_toot

Train Stochastic Non Linear Coupled ODEs to Classify and Generate
Stefano Gagliani, Feliciano Giuseppe Pacifico, Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Raffaele Marino
https://arxiv.org/abs/2510.12286

Train Stochastic Non Linear Coupled ODEs to Classify and Generate
A general class of dynamical systems which can be trained to operate in classification and generation modes are introduced. A procedure is proposed to plant asymptotic stationary attractors of the deterministic model. Optimizing the dynamical system amounts to shaping the architecture of inter-nodes connection to steer the evolution towards the assigned equilibrium, as a function of the class to which the item - supplied as an initial condition - belongs to. Under the stochastic perspective, po…

Using Gauge Covariant Lie Derivatives in Einstein-Cartan and Metric Teleparallel Theories of Gravity
R. J. van den Hoogen, H. Forance, L. Taylor, M. Lawton
https://arxiv.org/abs/2510.03082

Using Gauge Covariant Lie Derivatives in Einstein-Cartan and Metric Teleparallel Theories of Gravity
A procedure to determine the initial ansatz for the co-frame and spin connection characterizing a Riemann-Cartan geometry respecting a given group of continuous symmetries is illustrated. Given a particular group of symmetries and assuming an orthonormal gauge we can determine the co-frame and corresponding spin connection having this symmetry group by employing an gauge covariant Lie derivative. This gauge covariant Lie derivative when applied to the metric and co-frame determines the values o…

In-Context Clustering with Large Language Models
Ying Wang, Mengye Ren, Andrew Gordon Wilson
https://arxiv.org/abs/2510.08466 https://arxiv.org/pdf/2510.08…

In-Context Clustering with Large Language Models
We propose In-Context Clustering (ICC), a flexible LLM-based procedure for clustering data from diverse distributions. Unlike traditional clustering algorithms constrained by predefined similarity measures, ICC flexibly captures complex relationships among inputs through an attention mechanism. We show that pretrained LLMs exhibit impressive zero-shot clustering capabilities on text-encoded numeric data, with attention matrices showing salient cluster patterns. Spectral clustering using attenti…

Two decades of algorithmic Feynman integral reduction
Alexander Smirnov, Vladimir Smirnov
https://arxiv.org/abs/2510.10748 https://arxiv.org/pdf/2510.10748…

Two decades of algorithmic Feynman integral reduction
We present a historiographical review of algorithms and computer codes developed for solving integration-by-parts relations for Feynman integrals. This procedure is one of the key steps in the evaluation of Feynman integrals, since it enables to express integrals belonging to a given family as linear combinations of master integrals. In this review, we restrict ourselves to considering general algorithms which can, in principle, be applied to any family of Feynman integrals.

Chargers QB Justin Herbert to undergo surgery to fix break in left hand suffered in win over Raiders https://www.nfl.com/news/chargers-qb-herbert-to-undergo-procedure-to-fix-break-in-left-hand

InvBench: Can LLMs Accelerate Program Verification with Invariant Synthesis?
Anjiang Wei, Tarun Suresh, Tianran Sun, Haoze Wu, Ke Wang, Alex Aiken
https://arxiv.org/abs/2509.21629

InvBench: Can LLMs Accelerate Program Verification with Invariant Synthesis?
Program verification relies on loop invariants, yet automatically discovering strong invariants remains a long-standing challenge. We introduce a principled framework for evaluating LLMs on invariant synthesis. Our approach uses a verifier-based decision procedure with a formal soundness guarantee and assesses not only correctness but also the speedup that invariants provide in verification. We evaluate 7 state-of-the-art LLMs, and existing LLM-based verifiers against the traditional solver UAu…

Robust Functional Logistic Regression
Berkay Akturk, Ufuk Beyaztas, Han Lin Shang
https://arxiv.org/abs/2510.12048 https://arxiv.org/pdf/2510.12048

Robust Functional Logistic Regression
Functional logistic regression is a popular model to capture a linear relationship between binary response and functional predictor variables. However, many methods used for parameter estimation in functional logistic regression are sensitive to outliers, which may lead to inaccurate parameter estimates and inferior classification accuracy. We propose a robust estimation procedure for functional logistic regression, in which the observations of the functional predictor are projected onto a set …

Justin Herbert to Undergo Hand Surgery, Hopeful Not to Miss Any Games Going Forward https://www.chargers.com/news/justin-herbert-hand-surgery-injury-fantasy-2025

Updated Radio Sigma-D Relation and Distances to the Shell-Like Galactic Supernova Remnants -- IV
D. Uro\v{s}evi\'c, B. Vukoti\'c, M. An{\dj}eli\'c, N. Mladenovi\'c
https://arxiv.org/abs/2510.03410

Updated Radio Sigma-D Relation and Distances to the Shell-Like Galactic Supernova Remnants -- IV
We present a new selected sample of 69 Galactic supernova remnants (SNRs) for calibration of radio $Σ-D$ relation at 1 GHz. Calibrators with the most reliable distances were selected through an extensive literature search. The calibration is performed using kernel smoothing of the selected sample of calibrators in $Σ-D$ plane and an orthogonal offsets fitting procedure. We use the obtained calibration to derive the distances to 164 Galactic SNRs and 27 new detected SNRs/SNR candidates with no…

Adaptive Thresholds for Monitoring and Screening in Imbalanced Samples: Optimality and Boosting Sensitivity
Ansgar Steland
https://arxiv.org/abs/2510.08035 https://

Adaptive Thresholds for Monitoring and Screening in Imbalanced Samples: Optimality and Boosting Sensitivity
Suppose (standardized) measurements or statistics are monitored to raise an alarm when a threshold is exceeded. Often, the underlying population is heterogenous with respect to important discrete variables and thus samples may consist of imbalanced classes. We propose to use thresholds which depend on such covariates to boost the sensitivity for rare classes, which otherwise tend to be ignored. Under mild conditions, we identify optimal threshold functions and develop a feasible procedure for t…

Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning
Ziqi Zhang, Yuexiang Li, Yawen Huang, Nanjun He, Tao Xu, Liwei Lin, Yefeng Zheng, Shaoxin Li, Feiyue Huang
https://arxiv.org/abs/2510.08393

Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning
Recent studies have uncovered a new research line, namely source-free domain adaptation, which adapts a model to target domains without using the source data. Such a setting can address the concerns on data privacy and security issues of medical images. However, current source-free domain adaptation frameworks mainly focus on the pseudo label refinement for target data without the consideration of learning procedure. Indeed, a progressive learning process from source to target domain will benef…

Developing a Cost-Effective Spectrometer: A Practical Approach
Mohammad Tahsin Alam, Zafrin Jahan Nikita, Yasir Mahmud, Rafichha Yeasmin, Fairuz Darimi Bushra, Sheikh Hasib Cheragee, Redwanul Talukder Zeem
https://arxiv.org/abs/2510.06703

Developing a Cost-Effective Spectrometer: A Practical Approach
The paper demonstrates the design and execution of a low-cost optical spectrometer that employs a webcam, diffraction grating & Python (a free, open-source programming language). The device's design prioritized economy and usability, with a black box casing to reduce stray light and increase measurement accuracy. A diffraction grating made from a DVD was used to split light into its constituent wavelengths, which were then collected by the camera. The calibration procedure used a RED TIDE USB65…

WireBend-kit: A Computational Design and Fabrication Toolkit for Wirebending Custom 3D Wireframe Structures
Faraz Faruqi, Josha Paonaskar, Riley Schuler, Aiden Prevey, Carson Taylor, Anika Tak, Anthony Guinto, Eeshani Shilamkar, Natarith Cheenaruenthong, Martin Nisser
https://arxiv.org/abs/2509.24083…

WireBend-kit: A Computational Design and Fabrication Toolkit for Wirebending Custom 3D Wireframe Structures
This paper introduces WireBend-kit, a desktop wirebending machine and computational design tool for creating 3D wireframe structures. Combined, they allow users to rapidly and inexpensively create custom 3D wireframe structures from aluminum wire. Our design tool is implemented in freely available software and allows users to generate virtual wireframe designs and assess their fabricability. A path-planning procedure automatically converts the wireframe design into fabrication instructions for …

Pure many-body interactions in colloidal systems by artificial random light fields
Augustin Muster, Luis S. Froufe-P\'erez
https://arxiv.org/abs/2510.03503 https://

Pure many-body interactions in colloidal systems by artificial random light fields
We propose a method to generate pure many-body interactions in colloidal systems by using optical forces induced by random optical fields with an optimized spectral energy density. To assess the feasibility in general settings, we develop a simple model for Lorentzian electric and magnetic dipole response. An optimization procedure is then introduced to design the spectral energy density of the random field that minimizes pair interactions at constant electromagnetic energy density. We conclude…

Resolving features and derivatives in data with noise
L. (Bert), Mulder, Ad Lagendijk, Willem L. Vos
https://arxiv.org/abs/2509.22077 https://arxiv.org/pd…

Resolving features and derivatives in data with noise
A frequently occurring challenge in experimental and numerical observation is how to resolve features, such as spectral peaks - with center, width, height - and derivatives from measured data with unavoidable noise. Therefore, we develop a modified Whittaker-Henderson smoothing procedure that balances the spectral features and the noise. In our procedure, we introduce adjustable weights that are optimized using cross-validation. When the measurement errors are known, a straightforward error ana…

A Honest Cross-Validation Estimator for Prediction Performance
Tianyu Pan, Vincent Z. Yu, Viswanath Devanarayan, Lu Tian
https://arxiv.org/abs/2510.07649 https://

A Honest Cross-Validation Estimator for Prediction Performance
Cross-validation is a standard tool for obtaining a honest assessment of the performance of a prediction model. The commonly used version repeatedly splits data, trains the prediction model on the training set, evaluates the model performance on the test set, and averages the model performance across different data splits. A well-known criticism is that such cross-validation procedure does not directly estimate the performance of the particular model recommended for future use. In this paper, w…

Steady Gradient Ricci Solitons with $O(p)\times O(q)$ Symmetry
Lucas Lavoyer, Luke T. Peachey
https://arxiv.org/abs/2509.25081 https://arxiv.org/pdf/2509.2…

Steady Gradient Ricci Solitons with $O(p)\times O(q)$ Symmetry
We find new examples of steady gradient Ricci solitons with positive curvature operator in dimensions four and above. Utilising a procedure first introduced by Lai, we construct examples with $O(p) \times O(q)$ symmetry in dimension $p+q$ for any pair of integers $p,q \geq 2$ and discuss their asymptotic geometry.

General mean-field BSDEs with integrable terminal values
Weimin Jiang, Juan Li, Yan Shen
https://arxiv.org/abs/2510.11067 https://arxiv.org/pdf/2510.11067

General mean-field BSDEs with integrable terminal values
This paper investigates $L^{1}$ solutions for mean-field backward stochastic differential equations (MFBSDEs) under different weak assumptions in both one-dimensional and multi-dimensional settings, whose generator $f(ω,t,y,z,μ)$ depends not only on the solution process $(Y,Z)$ but also on the law of $(Y,Z)$. In the one-dimensional case where $f$ depends on the law of $Y$, we show with the help of a test function method and a localization procedure that such type of equations with an integrab…

A family of three maximally symmetric boost-invariant flows in relativistic hydrodynamics
Sa\v{s}o Grozdanov
https://arxiv.org/abs/2510.10769 https://arxiv…

A family of three maximally symmetric boost-invariant flows in relativistic hydrodynamics
I discuss the constructions of boost-invariant dissipative conformal hydrodynamic flows by elaborating on the geometric procedure by Gubser and Yarom, which starts from a static, maximally symmetric flow on dS$_3\times\mathbb{R}$. Three foliations of dS$_3$ preserve three-dimensional non-Abelian isometry groups, namely, the flat ISO(2)-invariant, the spherical (closed) SO(3)-invariant, and the hyperbolic (open) SO(2,1)-invariant slicings. I show that the fluids that preserve these symmetries, a…

Active Semantic Perception
Huayi Tang, Pratik Chaudhari
https://arxiv.org/abs/2510.05430 https://arxiv.org/pdf/2510.05430

Active Semantic Perception
We develop an approach for active semantic perception which refers to using the semantics of the scene for tasks such as exploration. We build a compact, hierarchical multi-layer scene graph that can represent large, complex indoor environments at various levels of abstraction, e.g., nodes corresponding to rooms, objects, walls, windows etc. as well as fine-grained details of their geometry. We develop a procedure based on large language models (LLMs) to sample plausible scene graphs of unobser…

Guided Star-Shaped Masked Diffusion
Viacheslav Meshchaninov, Egor Shibaev, Artem Makoian, Ivan Klimov, Danil Sheshenya, Andrei Malinin, Nikita Balagansky, Daniil Gavrilov, Aibek Alanov, Dmitry Vetrov
https://arxiv.org/abs/2510.08369

Guided Star-Shaped Masked Diffusion
The performance of pre-trained masked diffusion models is often constrained by their sampling procedure, which makes decisions irreversible and struggles in low-step generation regimes. We introduce a novel sampling algorithm that works with pre-trained models and, after a lightweight fine-tuning of a single layer, significantly improves sample quality and efficiency. Our method reformulates the generation process using a star-shaped paradigm, which inherently allows for error correction. To ma…

Interesting way to represent uncertain or vague information into #knowledgegraphs (as e.g. easier integration of LLM/Deep Learning Results into KGs) via "Fuzzy OWL". Paper by Fernando Bobillo & Umberto Straccia: Fuzzy Ontology Representation using OWL 2

Fuzzy Ontology Representation using OWL 2
The need to deal with vague information in Semantic Web languages is rising in importance and, thus, calls for a standard way to represent such information. We may address this issue by either extending current Semantic Web languages to cope with vagueness, or by providing a procedure to represent such information within current standard languages and tools. In this work, we follow the latter approach, by identifying the syntactic differences that a fuzzy ontology language has to cope with, and…

Bootstrapping as a Morphism: An Arithmetic Geometry Approach to Asymptotically Faster Homomorphic Encryption
Dongfang Zhao
https://arxiv.org/abs/2510.02365 https://

Bootstrapping as a Morphism: An Arithmetic Geometry Approach to Asymptotically Faster Homomorphic Encryption
Fully Homomorphic Encryption (FHE) provides a powerful paradigm for secure computation, but its practical adoption is severely hindered by the prohibitive computational cost of its bootstrapping procedure. The complexity of all current bootstrapping methods is fundamentally tied to the multiplicative depth of the decryption circuit, denoted $L_{dec}$, making it the primary performance bottleneck. This paper introduces a new approach to bootstrapping that completely bypasses the traditional circ…

Channel Charting based Fast Beam Tracking Design and Implementation
Jiawei Zhang, Shihan Wang, Jienan Chen, Fan Wu, Jiyun Tao, Zheqi Gu
https://arxiv.org/abs/2510.08144 https://…

Channel Charting based Fast Beam Tracking Design and Implementation
In the beyond fifth-generation (B5G) and upcoming sixth-generation (6G) wireless communication systems, millimeter (mmWave) wave technology is a promising solution for offering additional bandwidth resources and mitigating spectrum congestion. Beam tracking is an essential procedure for providing reliable communication services in the mmWave communication system, with the challenge of providing consistent and accurate tracking performance. In this study, we introduce a low-overhead beam trackin…

An alternative bootstrap procedure for factor-augmented regression models
Peiyun Jiang, Takashi Yamagata
https://arxiv.org/abs/2510.00947 https://arxiv.org…

An alternative bootstrap procedure for factor-augmented regression models
In this paper, we propose a novel bootstrap algorithm that is more efficient than existing methods for approximating the distribution of the factor-augmented regression estimator for a rotated parameter vector. The regression is augmented by $r$ factors extracted from a large panel of $N$ variables observed over $T$ time periods. We consider general weak factor (WF) models with $r$ signal eigenvalues that may diverge at different rates, $N^{α_{k}}$, where $0<α_{k}\leq 1$ for $k=1,2,...,r$. We…

A System Level Approach to LQR Control of the Diffusion Equation
Addie McCurdy, Andrew Gusty, Emily Jensen
https://arxiv.org/abs/2510.05345 https://arxiv.o…

A System Level Approach to LQR Control of the Diffusion Equation
The continuous-time, infinite horizon LQR problem for the diffusion equation over the unit circle with fully distributed actuation is considered. It is well-known that the solution to this problem can be obtained from the solution to an operator-valued algebraic Riccati equation. Here, it is demonstrated that this solution can be equivalently obtained by solving an $H_2$ control problem through a closed-loop design procedure that is analogous to the "System Level Synthesis" methodology previous…

Chiefs QB Patrick Mahomes undergoes successful surgery to repair ACL, LCL https://www.nfl.com/news/chiefs-qb-patrick-mahomes-undergoes-successful-surgery-to-repair-acl-lcl

Neutrinos from stars in the Milky Way
Pablo Mart\'inez-Mirav\'e, Irene Tamborra
https://arxiv.org/abs/2510.07399 https://arxiv.org/pdf/2510.07399…

Neutrinos from stars in the Milky Way
Neutrinos are produced during stellar evolution by means of thermal and thermonuclear processes. We model the cumulative neutrino flux expected at Earth from all stars in the Milky Way: the Galactic stellar neutrino flux (GS$ν$F). We account for the star formation history of our Galaxy and reconstruct the spatial distribution of Galactic stars by means of a random sampling procedure based on Gaia Data Release 2. We use the stellar evolution code $\texttt{MESA}$ to compute the neutrino emission…

B-RNS-GSS formalism and $L_{\infty}$-actions
Andrei Mikhailov
https://arxiv.org/abs/2510.10400 https://arxiv.org/pdf/2510.10400

B-RNS-GSS formalism and $L_{\infty}$-actions
Pure spinor formalism and RNS formalism are related by a chain of equivalences constructed by introducing and integrating-out BRST quartets. This is known as B-RNS-GSS formalism. One of the steps can be understood as adding auxiliary fields to lift a strong homotopy action of the SUSY Lie superalgebra in the large Hilbert space to a strict action. We develop a general prescription for this ``strictification'' procedure, which can be applied for any strong homotopy action of a Lie superalgebra. …

Orchestrating multi-level magic state distillation: a dynamic pipeline architecture
Junshi Wang (University of Cambridge), Prakash Murali (University of Cambridge)
https://arxiv.org/abs/2509.24402

Orchestrating multi-level magic state distillation: a dynamic pipeline architecture
Practical quantum computation requires high-fidelity instruction executions on qubits. Among them, Clifford instructions are relatively easy to perform, while non-Clifford instructions require the use of magic states. This makes magic state distillation a central procedure in fault-tolerant quantum computing. A magic state distillation factory consumes many low-fidelity input magic states and produces fewer, higher-fidelity states. To reach high fidelities, multiple distillation factories are t…

The U.S. attorney’s office in Washington said last week that it would consider,
“when appropriate,”
taking advantage of a judge’s order expanding its power to use local juries to charge serious federal crimes.
A federal judge ruled on Nov. 20
that because of the complexities of local laws in the District of Columbia,
judges in Federal District Court in Washington must accept indictments for federal crimes
that prosecutors secured from a local grand jury.

With Judge's Ruling, a New Tool for Charging Crime in D.C.
The U.S. attorney’s office says it may use local grand juries for serious federal crime in Washington “when appropriate” after a judge signed off on the unusual procedure.

Small Area Estimation of General Indicators in Off-Census Years
William Acero, Isabel Molina, J. Miguel Mar\'in
https://arxiv.org/abs/2510.10812 https://

Small Area Estimation of General Indicators in Off-Census Years
We propose small area estimators of general indicators in off-census years, which avoid the use of deprecated census microdata, but are nearly optimal in census years. The procedure is based on replacing the obsolete census file with a larger unit-level survey that adequately covers the areas of interest and contains the values of useful auxiliary variables. However, the minimal data requirement of the proposed method is a single survey with microdata on the target variable and suitable auxilia…

Interpretation of measured 3x3 partial depolarizing Mueller matrices
Jose J. Gil, Ignacio San Jose, Monica Canabal-Carbia, Juan Campos, Angel Lizana, Irene Estevez
https://arxiv.org/abs/2510.06305

Interpretation of measured 3x3 partial depolarizing Mueller matrices
Mueller polarimetry is a powerful technique with broad applications in astronomy, remote sensing, advanced material analysis, and biomedical imaging. However, instrumental constraints frequently restrict the measurement to an incomplete Mueller matrix limited to its upper-left 3x3 submatrix. Simply padding the missing entries with zeros to form a 4x4 matrix can produce physically inconsistent results, even for nondepolarizing systems. To address this issue, we present a systematic procedure to …

Eagles' Jalen Carter to miss Week 14 showdown vs. Chargers after procedure on both shoulders

https://www.cbssports.com/nfl/news/jalen-carter-injury-update-eagle…

Can Constructions "SCAN" Compositionality ?
Ganesh Katrapati, Manish Shrivastava
https://arxiv.org/abs/2509.20074 https://arxiv.org/pdf/2509.2007…

Can Constructions "SCAN" Compositionality ?
Sequence to Sequence models struggle at compositionality and systematic generalisation even while they excel at many other tasks. We attribute this limitation to their failure to internalise constructions conventionalised form meaning pairings that license productive recombination. Building on these insights, we introduce an unsupervised procedure for mining pseudo-constructions: variable-slot templates automatically extracted from training data. When applied to the SCAN dataset, our method yie…

Fast Leave-One-Out Approximation from Fragment-Target Prevalence Vectors (molFTP) : From Dummy Masking to Key-LOO for Leakage-Free Feature Construction
Guillaume Godin
https://arxiv.org/abs/2510.06029 …

Fast Leave-One-Out Approximation from Fragment-Target Prevalence Vectors (molFTP) : From Dummy Masking to Key-LOO for Leakage-Free Feature Construction
We introduce molFTP (molecular fragment-target prevalence), a compact representation that delivers strong predictive performance. To prevent feature leakage across cross-validation folds, we implement a dummy-masking procedure that removes information about fragments present in the held-out molecules. We further show that key leave-one-out (key-loo) closely approximates true molecule-level leave-one-out (LOO), with deviation below 8% on our datasets. This enables near full data training while p…

A New Partial State-Feedback IDA-PBC for Two-Dimensional Nonlinear Systems: Application to Power Converters with Experimental Results
Rafael Cisneros, Leyan Fang, Wei He, Romeo Ortega
https://arxiv.org/abs/2510.01425

A New Partial State-Feedback IDA-PBC for Two-Dimensional Nonlinear Systems: Application to Power Converters with Experimental Results
In this paper we propose a variation of the widely popular Interconnection-and-Damping-Assigment Passivity-Based Control (IDA-PBC) based on Poincare's Lemma to design output feedback globally stabilizing controllers for two dimensional systems. The procedure is constructive and, in comparison with the classical IDA-PBC, whose application is often stymied by the need to solve the (infamous) matching partial differential equation (PDE), in this new method the PDE is replaced by an ordinary differ…

FLOWER: A Flow-Matching Solver for Inverse Problems
Mehrsa Pourya, Bassam El Rawas, Michael Unser
https://arxiv.org/abs/2509.26287 https://arxiv.org/pdf/25…

FLOWER: A Flow-Matching Solver for Inverse Problems
We introduce Flower, a solver for inverse problems. It leverages a pre-trained flow model to produce reconstructions that are consistent with the observed measurements. Flower operates through an iterative procedure over three steps: (i) a flow-consistent destination estimation, where the velocity network predicts a denoised target; (ii) a refinement step that projects the estimated destination onto a feasible set defined by the forward operator; and (iii) a time-progression step that re-projec…

A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels
Rapha\"el Carpintero Perez (CMAP), S\'ebastien Da Veiga (ENSAI, CREST, RT-UQ), Josselin Garnier (CMAP, ASCII)
https://arxiv.org/abs/2510.01840

A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels
Designing categorical kernels is a major challenge for Gaussian process regression with continuous and categorical inputs. Despite previous studies, it is difficult to identify a preferred method, either because the evaluation metrics, the optimization procedure, or the datasets change depending on the study. In particular, reproducible code is rarely available. The aim of this paper is to provide a reproducible comparative study of all existing categorical kernels on many of the test cases inv…

Iterative Data Curation with Theoretical Guarantees
V\"ain\"o Yrj\"an\"ainen Johan Jonasson, M{\aa}ns Magnusson
https://arxiv.org/abs/2510.11428 https://

Iterative Data Curation with Theoretical Guarantees
In recent years, more and more large data sets have become available. Data accuracy, the absence of verifiable errors in data, is crucial for these large materials to enable high-quality research, downstream applications, and model training. This results in the problem of how to curate or improve data accuracy in such large and growing data, especially when the data is too large for manual curation to be feasible. This paper presents a unified procedure for iterative and continuous improvement …

Sources: Chargers' Alt may need ankle procedure https://www.espn.com/nfl/story/_/id/46822922/sources-chargers-alt-dealing-another-high-ankle-sprain

Mutual Information-Driven Visualization and Clustering for Core KPI Selection in O-RAN Testing
Anish Pradhan, Lingjia Liu, Harpreet S. Dhillon
https://arxiv.org/abs/2510.02696 h…

Mutual Information-Driven Visualization and Clustering for Core KPI Selection in O-RAN Testing
O-RAN testing is becoming increasingly difficult with the exponentially growing number of performance measurements as the system grows more complex, with additional units, interfaces, applications, and possible implementations and configurations. To simplify the testing procedure and improve system design for O-RAN systems, it is important to identify the dependencies among various performance measurements, which are inherently time-series and can be modeled as realizations of random processes.…

Simultaneous Quantization and Reduction of Constrained Systems
Jianhao M. Yang
https://arxiv.org/abs/2509.22747 https://arxiv.org/pdf/2509.22747

Simultaneous Quantization and Reduction of Constrained Systems
We present a novel framework for quantizing constrained quantum systems in which the processes of quantization and constraint enforcement are performed simultaneously. The approach is based on an extension of the stationary action principle, incorporating an information-theoretic term arising from vacuum fluctuations. Constraints are included directly in the Lagrangian via Lagrange multipliers, allowing the subsequent variational procedure to yield the quantum dynamics without ambiguity regardi…

Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs
Marc Lelarge
https://arxiv.org/abs/2510.03086 https://arxiv.org/pdf/2510.03086

Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs
Graph neural networks (GNNs) have struggled to outperform traditional optimization methods on combinatorial problems, limiting their practical impact. We address this gap by introducing a novel chaining procedure for the graph alignment problem, a fundamental NP-hard task of finding optimal node correspondences between unlabeled graphs using only structural information. Our method trains a sequence of GNNs where each network learns to iteratively refine similarity matrices produced by previous …

Spectral Bootstrap for Non-Parametric Simulation of Multivariate Extreme Events
Nisrine Madhar (UPCit\'e, LPSM), Juliette Legrand (LMBA, UBO), Maud Thomas (LPSM)
https://arxiv.org/abs/2509.26451

Spectral Bootstrap for Non-Parametric Simulation of Multivariate Extreme Events
Inference in extreme value theory relies on a limited number of extreme observations, making estimation challenging. To address this limitation, we propose a non-parametric bootstrap procedure, the multivariate extreme spectral bootstrap procedure, relying on the spectral representation of multivariate generalized Paretodistributed random vectors. Unlike standard bootstrap methods, our approach preserves the joint tail behaviour of the data and generates additional synthetic extreme data, there…

Classicized dynamics and initial conditions in field theories with fakeons
Damiano Anselmi, Gianluca Calcagni
https://arxiv.org/abs/2510.05276 https://arxi…

Classicized dynamics and initial conditions in field theories with fakeons
Theories with purely virtual particles (fakeons) do not possess a classical action in the strict sense, but rather a "classicized" one, obtained by integrating out the fake particles at tree level. Although this procedure generates nonlocal interactions, we show that the resulting classicized equations of motion are not burdened with the need to specify infinitely many initial conditions. The reason is the inherent link between the fakeonic system and the parent higher-derivative local system: …

MAD: Manifold Attracted Diffusion
Dennis Elbr\"achter, Giovanni S. Alberti, Matteo Santacesaria
https://arxiv.org/abs/2509.24710 https://arxiv.org/pdf…

MAD: Manifold Attracted Diffusion
Score-based diffusion models are a highly effective method for generating samples from a distribution of images. We consider scenarios where the training data comes from a noisy version of the target distribution, and present an efficiently implementable modification of the inference procedure to generate noiseless samples. Our approach is motivated by the manifold hypothesis, according to which meaningful data is concentrated around some low-dimensional manifold of a high-dimensional ambient s…

Limits to black-box amplification in QMA
Scott Aaronson, Freek Witteveen
https://arxiv.org/abs/2509.21131 https://arxiv.org/pdf/2509.21131

Limits to black-box amplification in QMA
We study the limitations of black-box amplification in the quantum complexity class QMA. Amplification is known to boost any inverse-polynomial gap between completeness and soundness to exponentially small error, and a recent result (Jeffery and Witteveen, 2025) shows that completeness can in fact be amplified to be doubly exponentially close to 1. We prove that this is optimal for black-box procedures: we provide a quantum oracle relative to which no QMA verification procedure using polynomial…

Statistical Inference for Gradient Boosting Regression
Haimo Fang, Kevin Tan, Giles Hooker
https://arxiv.org/abs/2509.23127 https://arxiv.org/pdf/2509.2312…

Statistical Inference for Gradient Boosting Regression
Gradient boosting is widely popular due to its flexibility and predictive accuracy. However, statistical inference and uncertainty quantification for gradient boosting remain challenging and under-explored. We propose a unified framework for statistical inference in gradient boosting regression. Our framework integrates dropout or parallel training with a recently proposed regularization procedure that allows for a central limit theorem (CLT) for boosting. With these enhancements, we surprising…

Sources: Eagles DT Carter out after procedures https://www.espn.com/nfl/story/_/id/47202530/sources-eagles-dt-jalen-carter-shoulder-procedures

Optimal smoothing parameter in Eilers-Wittaker smoother
Roberto Bernal-Arencibia, Karel Garcia Medina, Ernesto Estevez-Rams, Beatriz Aragon-Fernandez
https://arxiv.org/abs/2510.01798

Optimal smoothing parameter in Eilers-Wittaker smoother
The Eilers-Whittaker method for data smoothing effectiveness depends on the choice of the regularisation parameter, and automatic selection is a necessity for large datasets. Common methods, such as leave-one-out cross-validation, can perform poorly when serially correlated noise is present. We propose a novel procedure for selecting the control parameter based on the spectral entropy of the residuals. We define an S-curve from the Euclidean distance between points in a plot of the spectral ent…

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
Faruk Alpay, Taylan Alpay
https://arxiv.org/abs/2509.25295

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
We present Calibrated Counterfactual Conformal Fairness ($C^3F$), a post-hoc procedure that targets group-conditional coverage parity under covariate shift. $C^3F$ combines importance-weighted conformal calibration with a counterfactual regularizer based on path-specific effects in a structural causal model. The method estimates group-specific nonconformity quantiles using likelihood-ratio weights so that coverage degrades gracefully with the second moment of the weights. We derive finite-sampl…