Tootfinder

Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints
Thuy Tran, Ruochen Chen, Shaifali Parashar
https://arxiv.org/abs/2507.22699 https://

Image-Guided Shape-from-Template Using Mesh Inextensibility Constraints
Shape-from-Template (SfT) refers to the class of methods that reconstruct the 3D shape of a deforming object from images/videos using a 3D template. Traditional SfT methods require point correspondences between images and the texture of the 3D template in order to reconstruct 3D shapes from images/videos in real time. Their performance severely degrades when encountered with severe occlusions in the images because of the unavailability of correspondences. In contrast, modern SfT methods use a c…

Prompt template for a fictitious LLM agent in a content-flagging experiment
Marie-Therese Sekwenz, Daria Simons, Alina Wundsam
https://arxiv.org/abs/2507.21842 https://

Prompt template for a fictitious LLM agent in a content-flagging experiment
Digital regulations such as the European Union's Digital Services Act (DSA) represent major efforts to shape human-centered and human rights-based frameworks for society. Yet, as these laws are translated into practice, challenges emerge at the intersection of technology, law, and design. This paper presents a qualitative case study examining how designers act as mediators between abstract legal requirements and real-world digital experiences for users, focusing on the design of content reporti…

A template for data analysis projects structured as R packages (or not) #rstats #datascience

GitHub - Pakillo/template: A template for data analysis projects structured as R packages (or not)
A template for data analysis projects structured as R packages (or not) - Pakillo/template

A Nonlinear MPC Framework for Loco-Manipulation of Quadrupedal Robots with Non-Negligible Manipulator Dynamics
Ruturaj Sambhus, Kapi Ketan Mehta, Ali MirMohammad Sadeghi, Basit Muhammad Imran, Jeeseop Kim, Taizoon Chunawala, Vittorio Pastore, Sujith Vijayan, Kaveh Akbari Hamed
https://arxiv.org/abs/2507.22042…

A Nonlinear MPC Framework for Loco-Manipulation of Quadrupedal Robots with Non-Negligible Manipulator Dynamics
Model predictive control (MPC) combined with reduced-order template models has emerged as a powerful tool for trajectory optimization in dynamic legged locomotion. However, loco-manipulation tasks performed by legged robots introduce additional complexity, necessitating computationally efficient MPC algorithms capable of handling high-degree-of-freedom (DoF) models. This letter presents a computationally efficient nonlinear MPC (NMPC) framework tailored for loco-manipulation tasks of quadrupeda…

Replaced article(s) found for hep-ph. https://arxiv.org/list/hep-ph/new
[1/2]:
- Simplified Template Cross Sections -- Stage 1.1 and 1.2
Nicolas Berger, et al.

@… Would love to see this integrate with GitHub more, particularly the classroom functionality.
I’ve spent a good few hours on and off over the years helping one of our local CompSci teachers with all of the work around “How do I go from an exercise I want students to complete, to an actual assignment in GH Classroom, a template repo, and a GH Action pip…

Replaced article(s) found for hep-ex. https://arxiv.org/list/hep-ex/new
[1/1]:
- Simplified Template Cross Sections -- Stage 1.1 and 1.2
Nicolas Berger, et al.

ABC-SN: Attention Based Classifier for Supernova Spectra
Willow Fox Fortino, Federica B. Bianco, Pavlos Protopapas, Daniel Muthukrishna, Austin Brockmeier
https://arxiv.org/abs/2507.22106

ABC-SN: Attention Based Classifier for Supernova Spectra
While significant advances have been made in photometric classification ahead of the millions of transient events and hundreds of supernovae (SNe) each night that the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will discover, classifying SNe spectroscopically remains the best way to determine most subtypes of SNe. Traditional spectrum classification tools use template matching techniques (Blondin & Tonry 2007) and require significant human supervision. Two deep learning spe…

Scalable and Cost-Efficient de Novo Template-Based Molecular Generation
Piotr Gai\'nski, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Micha{\l} Koziarski
https://arxiv.org/abs/2506.19865

Scalable and Cost-Efficient de Novo Template-Based Molecular Generation
Template-based molecular generation offers a promising avenue for drug design by ensuring generated compounds are synthetically accessible through predefined reaction templates and building blocks. In this work, we tackle three core challenges in template-based GFlowNets: (1) minimizing synthesis cost, (2) scaling to large building block libraries, and (3) effectively utilizing small fragment sets. We propose \textbf{Recursive Cost Guidance}, a backward policy framework that employs auxiliary m…

Evaluating LLMs on microservice-based applications: how complex is your specification?
Daniel M. Yellin
https://arxiv.org/abs/2508.20119 https://arxiv.org/…

Evaluating LLMs on microservice-based applications: how complex is your specification?
In this paper we evaluate how far LLMs have advanced in generating code for real-world problems. Specifically, we explore code synthesis for microservice-based applications, a widely used architecture pattern. We define a standard template for specifying these applications, and we propose a metric for judging the difficulty level of a specification. The higher the score, the more difficult it is to generate code for the specification. We develop a framework to automate the process of testing LL…

Breaking Mews! :neocat_floof_cute:
🎨⁠@… (template by @…)

Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning
M. F. Albakry, I. Alkhatib, D. Alonso-Gonzalez, J. Anczarski, T. Aralis, T. Aramaki, I. Ataee Langroudy, C. Bathurst, R. Bhattacharyya, A. J. Biff, P. L. Brink, M. Buchanan, R. Bunker, B. Cabrera, R. Calkins, R. A. Cameron, C. Cartaro, D. G. Cerdeno, Y. -Y. Chang, M. Chaudhuri, J. H. Chen, R. Chen, N. Chott, J. Cooley, H. Coombes, P. Cushman, R. Cyna, S. Das, S. Dharani, M. L. di Vacri, M. D. D…

Multi-channel, multi-template event reconstruction for SuperCDMS data using machine learning
SuperCDMS SNOLAB uses kilogram-scale germanium and silicon detectors to search for dark matter. Each detector has Transition Edge Sensors (TESs) patterned on the top and bottom faces of a large crystal substrate, with the TESs electrically grouped into six phonon readout channels per face. Noise correlations are expected among a detector's readout channels, in part because the channels and their readout electronics are located in close proximity to one another. Moreover, owing to the large size…

Higgs production via vector-boson fusion at the LHC
Gaetano Barone, Jiayi Chen, Stephane Cooperstein, Nikita Dolganov, Silvia Ferrario Ravasio, Yacine Haddad, Stefan H\"oche, Barbara J\"ager, Alexander Karlberg, Alexander M\"uck, Mathieu Pellen, Christian T. Preuss, Daniel Reichelt, Simon Reinhardt, Marco Zaro
https://arxiv.…

Higgs production via vector-boson fusion at the LHC
In this article, we summarise the recent experimental measurements and theoretical work on Higgs boson production via vector-boson fusion at the LHC. Along with this, we provide state-of-the-art predictions at fixed order as well as with parton-shower corrections within the Standard Model at 13.6 TeV. The results are presented in the form of multi-differential distributions as well as in the Simplified Template Cross Section bins. All materials and outputs of this study are available on public …

Meta builds giant datacenter in rural Louisiana. Utility to add 2.3 GW of gas turbines to power it, if they can source the turbines in a sold-out global market.
And just to be sure, the Louisiana Legislature passed a new law that adds natural gas to the definition of green energy...
Climate anyone?
http…

Meta is sinking $10 billion into rural Louisiana to build the home of its wildest AI aspirations, setting the template for the nation’s grid buildout
The massive data center buildout is underway, requiring massive amounts of new power and, increasingly, more fossil fuels and gas plants.

Four Loop Renormalisation Group Equations in general Gross-Neveu-Yukawa Theories
Tom Steudtner
https://arxiv.org/abs/2507.18710 https://arxiv.org/pdf/2507.…

Four Loop Renormalisation Group Equations in general Gross-Neveu-Yukawa Theories
We compute template formulae of all four-loop $β$-functions and anomalous dimensions of arbitrary renormalisable quantum field theories with fermions and scalar fields in the $\overline{\text{MS}}$ scheme. Using these results, novel contributions to the $β$-functions of the Higgs and top coupling are extracted. We discuss how four loops present a challenge to dimensional continuation from four to three dimensions and propose a solution.

IDFace: Face Template Protection for Efficient and Secure Identification
Sunpill Kim, Seunghun Paik, Chanwoo Hwang, Dongsoo Kim, Junbum Shin, Jae Hong Seo
https://arxiv.org/abs/2507.12050

IDFace: Face Template Protection for Efficient and Secure Identification
As face recognition systems (FRS) become more widely used, user privacy becomes more important. A key privacy issue in FRS is protecting the user's face template, as the characteristics of the user's face image can be recovered from the template. Although recent advances in cryptographic tools such as homomorphic encryption (HE) have provided opportunities for securing the FRS, HE cannot be used directly with FRS in an efficient plug-and-play manner. In particular, although HE is functionally c…

I needed a Debian 13 LXC container, but proxmox doesn't have one available yet, even though Proxmox 9 in based on Debian 13.
Anyway, I wrote a post explaining how to make a new LXC template for Debian 13 to use with proxmox
#proxmox #lxc #debian13

«DOGE has provided a template for complete political and cultural rollback, exploiting AI's brittle affordances to trash any pretence at social contract. What the so-called educational offers from AI companies are actually doing is a form of cyberattack, building in the pathways for the hacker tactic of 'privilege escalation' to be used by future threat actors, especially those from a hostile administration.»
"The role of the University is to resist" by @…
https://danmcquillan.org/cpct_seminar.html

lil5/ansible_template
#ansible

🥳 New Kitten Release
• Improved Markdown parser
Kitten’s JavaScript tagged template strings (`kitten.html`) no longer fail to render as expected when interpolated values are used inside of Markdown where the Markdown render changes source order.
So, for example, the following will now work correctly, whereas, previously, the link source and link text would have been erroneously flipped:
kitten.html`
<markdown>
[${linkText}](${linkSource})
…

app/CHANGELOG.md at main
app - A web development kit that’s small, purrs, and loves you.

I had the idea of only using AC/DC as color values in CSS and I have to say it’s not *that* bad as I thought! 🤪

Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking
TianChen Huang, Wei Gao, Runchen Xu, Shiwu Zhang
https://arxiv.org/abs/2508.20661

Traversing the Narrow Path: A Two-Stage Reinforcement Learning Framework for Humanoid Beam Walking
Traversing narrow beams is challenging for humanoids due to sparse, safety-critical contacts and the fragility of purely learned policies. We propose a physically grounded, two-stage framework that couples an XCoM/LIPM footstep template with a lightweight residual planner and a simple low-level tracker. Stage-1 is trained on flat ground: the tracker learns to robustly follow footstep targets by adding small random perturbations to heuristic footsteps, without any hand-crafted centerline locking…

I am doing my best to explain to the users that they cannot submit an account request directly to my team. There is a process (and form) required and their local security person should be the one doing the paperwork, getting all required signatures and then submitting to us after they create the template account in the security system.
I have done this several times, and it is overdue for me to compose a template email explaining the process, where to find the forms, security orders, …

Unsupervised Document and Template Clustering using Multimodal Embeddings
Phillipe R. Sampaio, Helene Maxcici
https://arxiv.org/abs/2506.12116 https://

Unsupervised Document and Template Clustering using Multimodal Embeddings
This paper investigates a novel approach to unsupervised document clustering by leveraging multimodal embeddings as input to traditional clustering algorithms such as $k$-Means and DBSCAN. Our method aims to achieve a finer-grained document understanding by not only grouping documents at the type level (e.g., invoices, purchase orders), but also distinguishing between different templates within the same document category. This is achieved by using embeddings that capture textual content, layout…

Shape-from-Template with Generalised Camera
Agniva Sengupta, Stefan Zachow
https://arxiv.org/abs/2508.13791 https://arxiv.org/pdf/2508.13791

Shape-from-Template with Generalised Camera
This article presents a new method for non-rigidly registering a 3D shape to 2D keypoints observed by a constellation of multiple cameras. Non-rigid registration of a 3D shape to observed 2D keypoints, i.e., Shape-from-Template (SfT), has been widely studied using single images, but SfT with information from multiple-cameras jointly opens new directions for extending the scope of known use-cases such as 3D shape registration in medical imaging and registration from hand-held cameras, to name a …

Parity Breaking at Faceted Crystal Growth Fronts during Ice Templating
Kaihua Ji, Alain Karma
https://arxiv.org/abs/2508.18403 https://arxiv.org/pdf/2508.1…

Parity Breaking at Faceted Crystal Growth Fronts during Ice Templating
Directional solidification of water-based solutions has emerged as a versatile technique to template hierarchical porous materials, but this nonequilibrium process remains incompletely understood. Here we use phase-field simulations to shed light on the mechanism that selects the growth direction of the lamellar ice structure that templates those materials. Our results show that this selection can be understood within the general framework of spontaneous parity breaking, yielding quantitative p…

Systematic bias in LISA ringdown analysis due to waveform inaccuracy
Lodovico Capuano, Massimo Vaglio, Rohit S. Chandramouli, Chantal L Pitte, Adrien Kuntz, Enrico Barausse
https://arxiv.org/abs/2506.21181

Systematic bias in LISA ringdown analysis due to waveform inaccuracy
Inaccurate modeling of gravitational-wave signals can introduce systematic biases in the inferred source parameters. As detector sensitivities improve and signals become louder, mitigating such waveform-induced systematics becomes increasingly important. In this work, we assess the systematic biases introduced by an incomplete description of the ringdown signal from massive black hole binaries in the LISA band. Specifically, we investigate the impact of mode truncation in the ringdown template.…

Template-Based Schema Matching of Multi-Layout Tenancy Schedules:A Comparative Study of a Template-Based Hybrid Matcher and the ALITE Full Disjunction Model
Tim Uilkema, Yao Ma, Seyed Sahand Mohammadi Ziabari, Joep van Vliet
https://arxiv.org/abs/2507.02020

Template-Based Schema Matching of Multi-Layout Tenancy Schedules:A Comparative Study of a Template-Based Hybrid Matcher and the ALITE Full Disjunction Model
The lack of standardized tabular formats for tenancy schedules across real estate firms creates significant inefficiencies in data integration. Existing automated integration methods, such as Full Disjunction (FD)-based models like ALITE, prioritize completeness but result in schema bloat, sparse attributes and limited business usability. We propose a novel hybrid, template-based schema matcher that aligns multi-layout tenancy schedules to a predefined target schema. The matcher combines schema…

3DGH: 3D Head Generation with Composable Hair and Face
Chengan He, Junxuan Li, Tobias Kirschstein, Artem Sevastopolsky, Shunsuke Saito, Qingyang Tan, Javier Romero, Chen Cao, Holly Rushmeier, Giljoo Nam
https://arxiv.org/abs/2506.20875

3DGH: 3D Head Generation with Composable Hair and Face
We present 3DGH, an unconditional generative model for 3D human heads with composable hair and face components. Unlike previous work that entangles the modeling of hair and face, we propose to separate them using a novel data representation with template-based 3D Gaussian Splatting, in which deformable hair geometry is introduced to capture the geometric variations across different hairstyles. Based on this data representation, we design a 3D GAN-based architecture with dual generators and empl…

I very briefly contemplated whether I should replace a (technically copyrighted) meme template with an AI generated lookalike.
What was that Rostand quote again?
Steal from one person, and you are a thief. Steal from 100, and you are a rebel. Steal from millions, and you are an innovator. (Or something like that).

OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval
Yu Liu, Yanbing Liu, Fangfang Yuan, Cong Cao, Youbang Sun, Kun Peng, WeiZhuo Chen, Jianjun Li, Zhiyuan Ma
https://arxiv.org/abs/2508.16438

OPERA: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval
Recent advances in large language models (LLMs) and dense retrievers have driven significant progress in retrieval-augmented generation (RAG). However, existing approaches face significant challenges in complex reasoning-oriented multi-hop retrieval tasks: 1) Ineffective reasoning-oriented planning: Prior methods struggle to generate robust multi-step plans for complex queries, as rule-based decomposers perform poorly on out-of-template questions. 2) Suboptimal reasoning-driven retrieval: Relat…

A framework for modeling the evolution of young stellar objects
Theo Richardson, Adam Ginsburg, Erik Rosolowsky, Joshua Peltonen, R\'emy Indebetouw
https://arxiv.org/abs/2507.16944

A framework for modeling the evolution of young stellar objects
Measuring properties of young stellar objects (YSOs) is necessary for probing the pre-main-sequence evolution of stars. As YSOs exhibit complex geometry, measurement generally entails comparing observed radiation to template populations of radiative-transfer model YSO spectral energy distributions (SEDs). Due to uncertainty on the precise mechanics of star formation, the properties inferred for YSOs using these models often depend strongly on the assumed accretion history. We develop a framewor…

The email template provided by a senior colleague strikes again! I just sent a message containing - horror of horrors - double spaces after every period. The recipient is going to think I'm few years older than I really am.

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
https://arxiv.org/abs/2507.18224

Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation
Multi-agent systems (MAS) based on large language models (LLMs) have emerged as a powerful solution for dealing with complex problems across diverse domains. The effectiveness of MAS is critically dependent on its collaboration topology, which has become a focal point for automated design research. However, existing approaches are fundamentally constrained by their reliance on a template graph modification paradigm with a predefined set of agents and hard-coded interaction structures, significa…

Just wrote this quickie shell script to create and launch Debian13 KVM VMs. Just provide the hostname. Sharing in case someone else can use this.
The template is the debian13 nocloud image that I expanded to 20 GB. https://cloud.debian.org/images/cloud/trixi…

Remember, Trump’s DoE is trying to roll back accessibility requirements for buildings (Section 504).
@… wrote about this and her 9 June update links to a newer comment template:
…

New Attempt to Roll Back Accessibility Requirements - Comments Needed
For over forty years the United States has had regulations that say new buildings must be accessible to people with disabilities if the building is built by an organization that receives federal funds. Now the trump administration is taking the first steps to undo this long history of access in the

Coming soon (likely this afternoon, I’m writing tests and docs and updating examples as we speak)…
This is the sort of thing you’ll be able to do with Markdown pages. Just pop any arbitrary JavaScript you want in the new script block in the front matter and then import and use components as well as plain old JavaScript tagged template variable interpolation (not shown in this example) inside your Markdown.
The screen has all the code (sans the end of the last line of CSS and the…

New release: FlowIntel 1.6.0 — an open-source case management tool — now with extended support for importing MISP events as cases, a timeline view for attributes, a new templating system for notes, and many other new features!
🔗 https://github.com/flowintel/flowintel/releases/tag/1…

Release Flowintel release version 1.6.0 with new features, modifications on analyzer and dashboard · flowintel/flowintel
This release introduces several new features, including: Templates for notes that can be reused across cases Importing a Flowintel template into a case Creating a case from a MISP event A timeline...

from my link log —
Python's new template t-strings.
https://davepeck.org/2025/04/11/pythons-new-t-strings/
saved 2025-04-21

Full-spectrum modeling of mobile gamma-ray spectrometry systems in scattering media
David Breitenmoser, Alberto Stabilini, Sabine Mayer
https://arxiv.org/abs/2506.17820

Full-spectrum modeling of mobile gamma-ray spectrometry systems in scattering media
Mobile gamma-ray spectrometry (MGRS) systems are essential for localizing, identifying, and quantifying gamma-ray sources in complex environments. Full-spectrum template matching offers the highest accuracy and sensitivity for these tasks but is limited by the computational cost of generating the required spectral templates. Here, we present a generalized full-spectrum modeling framework for MGRS systems in scattering media, enabling near real-time template generation through dynamic, anisotrop…

American Eagle's obvious trolling is obvious.
From: @…
https://fed.brid.gy/r/https://bsky.app

Matter Spectral Functions from Quantum Gravity
Varun Kher, Brandon King, Daniel F. Litim, Manuel Reichert
https://arxiv.org/abs/2507.17862 https://arxiv.or…

Matter Spectral Functions from Quantum Gravity
We investigate Lorentzian quantum gravity coupled to a template matter sector with gauge fields, scalars and fermions. In the absence of quantised gravity, the matter sector by itself is renormalisable, but UV-incomplete. Provided quantum gravity offers an asymptotically safe UV-completion, we determine the photon and scalar two-point functions in the presence of gravitational fluctuations, and show that both possess a Källén-Lehmann spectral representation. Our results are achieved using fun…

Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions
Zhuochen Miao, Jun Lv, Hongjie Fang, Yang Jin, Cewu Lu
https://arxiv.org/abs/2506.21057

Knowledge-Driven Imitation Learning: Enabling Generalization Across Diverse Conditions
Imitation learning has emerged as a powerful paradigm in robot manipulation, yet its generalization capability remains constrained by object-specific dependencies in limited expert demonstrations. To address this challenge, we propose knowledge-driven imitation learning, a framework that leverages external structural semantic knowledge to abstract object representations within the same category. We introduce a novel semantic keypoint graph as a knowledge template and develop a coarse-to-fine te…

LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation
Fei Teng, Haoyang Li, Lei Chen
https://arxiv.org/abs/2508.09594 https://arxi…

LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation
Modern computing systems, such as HDFS and Spark, produce vast quantities of logs that developers use for tasks like anomaly detection and error analysis. To simplify log analysis, template generation methods have been proposed to standardize log formats, transforming unstructured data into structured templates. Existing heuristic-based methods and neural network-based methods suffer from low accuracy problems due to the reliance on handcrafted heuristics or specific log patterns in training se…

AlbionEU went offline so now I'm here on AlbionAsia!
I can tell you all that I am working hard on like a template where I'll add important info to track mining costs and mining profit...
that I'll update you all with and it will mainly help me realize how I can improve in my efficiency, but fun must be the most important part in everything!
#AlbionOnline

A systematic bias in template-based RV extraction algorithms
Andr\'e M. Silva, N. C. Santos, J. P. Faria, J. H. C. Martins, E. A. S. Cristo, S. G. Sousa, P. T. P. Viana, \'E. Artigau, K. Al Moulla, A. Castro-Gonz\'alez, D. F. M. Folha, P. Figueira, T. Schmidt, F. Pepe, X. Dumusque, O. D. S. Demangeon, T. L. Campante, X. Delfosse, B. Wehbe, J. Lillo-Box, A. R. Costa Silva, J. Rodrigues, J. I. Gonz\'alez Hern\'andez, T. Azevedo Silva, S. Cristiani, H. M. Tabernero, E.…

A systematic bias in template-based RV extraction algorithms
In this paper we identify and explore a previously unidentified, multi meter-per-second, systematic correlation between time and RVs inferred through TM and LBL methods. We evaluate the influence of the data-driven stellar template in the RV bias and hypothesize on the possible sources of this effect. We first use the s-BART pipeline to extract RVs from three different datasets gathered over four nights of ESPRESSO and HARPS observations. Then, we demonstrate that the effect can be recovered on…

Playing around with the MCP template in #dotnet. It's interesting stuff, and maybe can see the value in offering dev-time tooling for projects.

Cosmic string gravitational wave backgrounds at LISA: I. Signal survey, template reconstruction, and model comparison
Androniki Dimitriou, Daniel G. Figueroa, Peera Simakachorn, Bryan Zaldivar
https://arxiv.org/abs/2508.05395

Cosmic string gravitational wave backgrounds at LISA: I. Signal survey, template reconstruction, and model comparison
We present a catalog of gravitational wave background (GWB) signal templates from cosmic-string networks, based on relevant models proposed in the literature. We classify templates as conventional, based on standard cosmology and Nambu-Goto results (VOS and BOS), and beyond conventional, based on modifications of a) the loop number density (LRS, super, metastable, current-carrying strings), b) the expansion history (non-standard cosmologies, extra degrees of freedom, either thermal or secluded)…

Optimizing Convolution Direction and Template Selection for Difference Image Analysis
Rodrigo Angulo, Armin Rest, William P. Blair, Jacob Jencson, David A. Coulter, Qinan Wang, Ryan J. Foley, Charles D. Kilpatrick, Xiaolong Li, Anthony L. Piro
https://arxiv.org/abs/2508.10155

Optimizing Convolution Direction and Template Selection for Difference Image Analysis
Difference image analysis (DIA) is a powerful tool for studying time-variable phenomena, and has been used by many time-domain surveys. Most DIA algorithms involve matching the spatially-varying PSF shape between science and template images, and then convolving that shape in one image to match the other. The wrong choice of which image to convolve can introduce one of the largest sources of artifacts in the final difference image. We introduce a quantitative metric to determine the optimal conv…

Adding complex numbers to expression template algorithmic differentiation tools
Max Sagebaum, Nicolas R. Gauger
https://arxiv.org/abs/2508.05371 https://ar…

Adding complex numbers to expression template algorithmic differentiation tools
Operator overloading algorithmic differentiation (AD) tools are usually only developed for floating-point values. Algorithmic optimization for, e.g., linear systems solvers or matrix-matrix multiplications are often introduced via external functions or manual function specializations. Complex numbers can be viewed as aggregates of two floating-point values on which specialized operations are applied. Typically, these operations can be handled by the regular floating-point operations from the AD…

Re-Evaluating Code LLM Benchmarks Under Semantic Mutation
Zhiyuan Pan, Xing Hu, Xin Xia, Xiaohu Yang
https://arxiv.org/abs/2506.17369 https://

Re-Evaluating Code LLM Benchmarks Under Semantic Mutation
In the era of large language models (LLMs), code benchmarks have become an important research area in software engineering and are widely used by practitioners. These benchmarks evaluate the performance of LLMs on specific code-related tasks, such as code understanding and generation. A critical step in constructing code benchmarks is the design of prompts. However, as existing code benchmarks typically rely on a single prompt template per task, they are prone to the issue of prompt sensitivity…

Diese Habsburger, ey. Seit Jahrhunderten nur Ärger. Der nächste will dann vermutlich auch das Schloss zurück ...

Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
No\'emie Bergues, Arthur Carr\'e, Paul Join-Lambert, Brice Hoffmann, Arnaud Blondel, Hamza Tajmouati
https://arxiv.org/abs/2506.06305

Template-Guided 3D Molecular Pose Generation via Flow Matching and Differentiable Optimization
Predicting the 3D conformation of small molecules within protein binding sites is a key challenge in drug design. When a crystallized reference ligand (template) is available, it provides geometric priors that can guide 3D pose prediction. We present a two-stage method for ligand conformation generation guided by such templates. In the first stage, we introduce a molecular alignment approach based on flow-matching to generate 3D coordinates for the ligand, using the template structure as a refe…

Bilayer graphene as a template for manufacturing novel 2D materials
Arkady V. Krasheninnikov, Yung-Chang Lin, Kazu Suenaga
https://arxiv.org/abs/2507.06447

Bilayer graphene as a template for manufacturing novel 2D materials
Recent intensive research on two-dimensional materials (2DMs) rekindle the interest in the intercalation of various atoms and molecules into layered compounds as a tool to manufacture 2DMs and tune their optoelectronic, magnetic and catalytic properties. Intercalation into free-standing bilayer graphene (BLG) has received special attention, as graphene is stable, chemically inert and enables one to study the atomic structure of the intercalated 2DM using high-resolution transmission electron mi…

Rxiv-Maker: An Automated Template Engine for Streamlined Scientific Publications
Bruno M. Saraiva, Guillaume Jaquemet, Ricardo Henriques
https://arxiv.org/abs/2508.00836 https:/…

Rxiv-Maker: An Automated Template Engine for Streamlined Scientific Publications
Scientific publishing increasingly relies on preprint servers for rapid dissemination, yet researchers often struggle with manuscript preparation and quality control. Here we present Rxiv-Maker, a GitHub-native framework that converts markdown content to publication-ready PDFs through automated LaTeX processing. The system addresses reproducibility challenges in computational biology and imaging research by treating manuscripts as executable outputs rather than static documents. Rxiv-Maker inte…

Replaced article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration
Ziyi He, Albert C. S. Chung

On constraining initial orbital eccentricity of purely inspiral events
Hemantakumar Phurailatpam, Gopakumar Achamveedu, Maria Haney, Tjonnie Li, Srishti Tiwari
https://arxiv.org/abs/2508.12697

On constraining initial orbital eccentricity of purely inspiral events
The LIGO-Virgo-KAGRA consortium has sporadically detected purely inspiral gravitational-wave events like GW170817 and GW190425. These events offer an opportunity to constrain the presence of possible initial (residual) orbital eccentricities while using purely inspiral template families. We detail the implementation of a LSC Algorithm Library Suite approximant, TaylorF2Ecck, which models analytically inspiral gravitational waves from non-spinning compact binaries in Post-Newtonian accurate ecce…

Hivemind: I noticed that my academic CV is the last document I maintain in #TeXLaTeX. Is there a #Markdown (preferably #pandoc) based CV system/template/filter that you can recommend? PDF output is required, HTML …

H-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing
Akanksha Singh, Yi-Ping Phoebe Chen, Vipul Arora
https://arxiv.org/abs/2506.16751

H-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing
Query-by-example spoken term detection (QbE-STD) searches for matching words or phrases in an audio dataset using a sample spoken query. When annotated data is limited or unavailable, QbE-STD is often done using template matching methods like dynamic time warping (DTW), which are computationally expensive and do not scale well. To address this, we propose H-QuEST (Hierarchical Query-by-Example Spoken Term Detection), a novel framework that accelerates spoken term retrieval by utilizing Term Fre…

The AI assistant I thought would help me with this JSONPath refactoring task just hallucinated a feature for OpenAPI Overlays that does not exist (citation: I maintain the thing). But now I’m thinking …. maybe we DO need template based variable replacement as a feature?!?? #NerdSniped

There is an LCARS template for pihole? Nice :-) Made my Friday better. #pihole

The new integrated Markdown parser I’ve been implementing in Kitten has been kicking my ass for the past few weeks but I think I finally have it fully working and seamlessly so. Expect a new release this/next week that brings the parsing of Markdown pages (.page.md files) in your apps up to the standard of the recently-improved runtime Markdown parsing in Kitten HTML tagged-template strings (within `<markdown>…</markdown>` blocks).
The coolest thing is I was able to impleme…

@… Besides that: I'm looking into moving my thesis project site to a digital garden Jekyll theme: https://github.com/maximevaillancourt/

Preferred Synthesis of Armchair SnS2 Nanotubes
Abid, Luneng Zhao, Ju Huang, Yongjia Zheng, Yuta Sato, Qingyun Lin, Zhen Han, Chunxia Yang, Tianyu Wang, Bill Herve Nduwarugira, Yicheng Ma, Lingfeng Wang, Yige Zheng, Hang Wang, Salman Ullah, Afzal Khan, Qi Zhang, Wenbin Li, Junfeng Gao, Bingfeng Ju, Feng Ding, Yan Li, Kazu Suenaga, Shigeo Maruyama, Huayong Yang, Rong Xiang

Preferred Synthesis of Armchair SnS2 Nanotubes
In this work, we present the synthesis of tin disulfide (SnS2) nanotubes (NTs) with preferred chiral angle. A sacrificial template is used to create channels of boron nitride nanotubes (BNNTs) with an optimized diameter of 4-5 nm, inside of which SnS2 NTs are formed with the high yield and structural purity. Atomic resolution imaging and nano-area electron diffraction reveal that these synthesized SnS2 NTs prefer to have an armchair configuration with a probability of approximately 85%. Calcula…

The Fused Kernel Library: A C API to Develop Highly-Efficient GPU Libraries
Oscar Amoros (Universitat Politecnica de Catalunya), Albert Andaluz (Independent researcher), Johnny Nunez (NVIDIA), Antonio J. Pena (Barcelona Supercomputing Center)
https://arxiv.org/abs/2508.07071

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries
Existing GPU libraries often struggle to fully exploit the parallel resources and on-chip memory (SRAM) of GPUs when chaining multiple GPU functions as individual kernels. While Kernel Fusion (KF) techniques like Horizontal Fusion (HF) and Vertical Fusion (VF) can mitigate this, current library implementations often require library developers to manually create fused kernels. Hence, library users rely on limited sets of pre-compiled or template-based fused kernels. This limits the use cases tha…

ASP Chef grows Mustache to look better
Mario Alviano, Wolfgang Faber, Luis Angel Rodriguez Reiners
https://arxiv.org/abs/2505.24537 https://

ASP Chef grows Mustache to look better
We present ASP Chef Mustache, an extension of ASP Chef that enhances template-based rendering of ASP solutions using a logic-less templating system inspired by Mustache. Our approach integrates data visualization frameworks such as Tabulator, Chart.js, and vis.js, enabling interactive representations of ASP interpretations as tables, charts, and graphs. Mustache queries in templates support advanced constructs for formatting, sorting, and multi-stage expansion, facilitating the generation of ri…

Early Warning From Eccentric Compact Binaries: Template Initialization And Sub-dominant Mode Effects
Priyanka Sinha, R. Prasad, Mukesh Kumar Singh, Prayush Kumar, Akash Maurya, Kaushik Paul
https://arxiv.org/abs/2507.07021

Early Warning From Eccentric Compact Binaries: Template Initialization And Sub-dominant Mode Effects
Early warning of gravitational waves (GWs) is essential for multi-messenger observations of binary neutron star and black hole-neutron star merger events. In this study, we investigate early warning prospects from eccentric compact binaries, whose mergers are expected to comprise a significant fraction of detected GW events in the future. Eccentric binaries exhibit oscillatory frequency evolution, causing GW frequencies to recur multiple times through their coalescence. Consequently, generating…

Efficient multigrid solvers for mixed-degree local discontinuous Galerkin multiphase Stokes problems
Robert I. Saye
https://arxiv.org/abs/2506.09933 https:…

Efficient multigrid solvers for mixed-degree local discontinuous Galerkin multiphase Stokes problems
We design and investigate efficient multigrid solvers for multiphase Stokes problems discretised via mixed-degree local discontinuous Galerkin methods. Using the template of a standard multigrid V-cycle, we develop a smoother analogous to element-wise block Gauss-Seidel, except the diagonal block inverses are replaced with an approximation that balances the smoothing of the velocity and pressure variables, factoring in the unequal scaling of the various Stokes system operators, and optimised vi…

Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
Jiayu Li, Masood Mortazavi, Ning Yan, Yihong Ma, Reza Zafarani
https://arxiv.org/abs/2506.08029

Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
The goal of inverse design in distributed circuits is to generate near-optimal designs that meet a desirable transfer function specification. Existing design exploration methods use some combination of strategies involving artificial grids, differentiable evaluation procedures, and specific template topologies. However, real-world design practices often require non-differentiable evaluation procedures, varying topologies, and near-continuous placement spaces. In this paper, we propose DCIDA, a …

Optimizing Scalable Multi-Cluster Architectures for Next-Generation Wireless Sensing and Communication
Samuel Riedel, Yichao Zhang, Marco Bertuletti, Luca Benini
https://arxiv.org/abs/2507.05012

Optimizing Scalable Multi-Cluster Architectures for Next-Generation Wireless Sensing and Communication
Next-generation wireless technologies (for immersive-massive communication, joint communication and sensing) demand highly parallel architectures for massive data processing. A common architectural template scales up by grouping tens to hundreds of cores into shared-memory clusters, which are then scaled out as multi-cluster manycore systems. This hierarchical design, used in GPUs and accelerators, requires a balancing act between fewer large clusters and more smaller clusters, affecting design…

Me: I’ll just add seamless Markdown support into HTML using JavaScript template strings, how hard could it be?
Markdown: Let me just change the order of the source and link text in links. And footnotes? You hadn’t thought about how footnotes alter source order had you, chum?

A Near-Infrared Spectral Library of Very Young Brown Dwarfs and Planetary-Mass Objects in the Orion Nebula Cluster
Elena Manjavacas, Mario Gennaro, Sarah Betti, Laurent Pueyo, William Balmer, Massimo Robberto
https://arxiv.org/abs/2508.14035

A Near-Infrared Spectral Library of Very Young Brown Dwarfs and Planetary-Mass Objects in the Orion Nebula Cluster
Age-benchmark brown dwarfs' and planetary-mass objects' spectroscopy is key to characterize substellar evolution. In this paper we present the JHK medium resolution (R~3000) spectra of 25 7-75 M_Jup (spectral types L3.0-M6.0) brown dwarfs and planetary-mass objects in the Orion Nebula Cluster obtained with MOSFIRE installed at the W. M. Keck I telescope. We obtained the spectral types of the targets in our sample using template brown dwarf and planetary-mass objects' spectra. We confirmed their…

Template-Fitting Meets Deep Learning: Redshift Estimation Using Physics-Guided Neural Networks
Jonas Chris Ferrao, Dickson Dias, Pranav Naik, Glory D'Cruz, Anish Naik, Siya Khandeparkar, Manisha Gokuldas Fal Dessai
https://arxiv.org/abs/2507.00866

Template-Fitting Meets Deep Learning: Redshift Estimation Using Physics-Guided Neural Networks
Accurate photometric redshift estimation is critical for observational cosmology, especially in large-scale surveys where spectroscopic measurements are impractical. Traditional approaches include template fitting and machine learning, each with distinct strengths and limitations. We present a hybrid method that integrates template fitting with deep learning using physics-guided neural networks. By embedding spectral energy distribution templates into the network architecture, our model encodes…

Training-free Dimensionality Reduction via Feature Truncation: Enhancing Efficiency in Privacy-preserving Multi-Biometric Systems
Florian Bayer, Maximilian Russo, Christian Rathgeb
https://arxiv.org/abs/2508.11419

Training-free Dimensionality Reduction via Feature Truncation: Enhancing Efficiency in Privacy-preserving Multi-Biometric Systems
Biometric recognition is widely used, making the privacy and security of extracted templates a critical concern. Biometric Template Protection schemes, especially those utilizing Homomorphic Encryption, introduce significant computational challenges due to increased workload. Recent advances in deep neural networks have enabled state-of-the-art feature extraction for face, fingerprint, and iris modalities. The ubiquity and affordability of biometric sensors further facilitate multi-modal fusion…

A Better Multi-Objective GP-GOMEA -- But do we Need it?
Joe Harrison, Tanja Alderliesten. Peter A. N. Bosman
https://arxiv.org/abs/2507.03777 https://

A Better Multi-Objective GP-GOMEA -- But do we Need it?
In Symbolic Regression (SR), achieving a proper balance between accuracy and interpretability remains a key challenge. The Genetic Programming variant of the Gene-pool Optimal Mixing Evolutionary Algorithm (GP-GOMEA) is of particular interest as it achieves state-of-the-art performance using a template that limits the size of expressions. A recently introduced expansion, modular GP-GOMEA, is capable of decomposing expressions using multiple subexpressions, further increasing chances of interpre…

MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation
Mingyang Huang, Peng Zhang, Bang Zhang
https://arxiv.org/abs/2506.02661

MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation
Generating long-term, coherent, and realistic music-conditioned dance sequences remains a challenging task in human motion synthesis. Existing approaches exhibit critical limitations: motion graph methods rely on fixed template libraries, restricting creative generation; diffusion models, while capable of producing novel motions, often lack temporal coherence and musical alignment. To address these challenges, we propose $\textbf{MotionRAG-Diff}$, a hybrid framework that integrates Retrieval-Au…

I'm using as the qube that is a template DVM but likely not a template in itself...
distro-number-dvm it's called. of course distro(my distro) and number(version number of distro)...
trying to figure out how to make duckduckgo the default search engine and so far I've switched the distro-number-dvm to...
I can't believe it actually worked, after shutting down the dvm then turning it back on ddg is still default?
COOL

Search for gravitational waves from eccentric binary black holes with an effective-one-body template
Yi-Fan Wang, Alexander H. Nitz
https://arxiv.org/abs/2508.05018 https://

Search for gravitational waves from eccentric binary black holes with an effective-one-body template
As gravitational wave astronomy has entered an era of routine detections, it becomes increasingly important to precisely measure the physical parameters of individual events and infer population properties. Eccentricity is a key observable, suggesting that binaries form in a dense stellar environment through dynamical encounters. This work performs the first matched-filtering search for gravitational waves from eccentric binary black holes (BBHs) covering the mass range $[5, 200]~M_\odot$ and e…

Bandicoot: A Templated C Library for GPU Linear Algebra
Ryan R. Curtin, Marcus Edel, Conrad Sanderson
https://arxiv.org/abs/2508.11385 https://arxiv.org/…

Bandicoot: A Templated C++ Library for GPU Linear Algebra
We introduce the Bandicoot C++ library for linear algebra and scientific computing on GPUs, overviewing its user interface and performance characteristics, as well as the technical details of its internal design. Bandicoot is the GPU-enabled counterpart to the well-known Armadillo C++ linear algebra library, aiming to allow users to take advantage of GPU-accelerated computation for their existing codebases without significant changes. Exploiting similar internal template meta-programming techni…

Electronic structure of the interface between Au and WSe2
Laxman Nagireddy, Samuel J. Magorrian, Matthew D. Watson, Yogal Prasad Ghimirey, Marc Walker, Cephise Cacho, Neil R. Wilson, Nicholas D. M. Hine
https://arxiv.org/abs/2508.15600

Electronic structure of the interface between Au and WSe2
Understanding the interface between metals and two-dimensional materials is critical for their application in electronics and for the development of metal-mediated exfoliation of large area monolayers. Studying the intricate interactions at the interface requires model systems that enable control of the roughness, purity, and crystallinity of the metal surface. Here, we investigate the layer-dependent electronic structure of WSe_2 on template-stripped gold substrates fabricated using both silic…

Template masks for 4D-STEM
Yining Xie, Eoin Moynihan, Marin Alexe, Louis Piper, Ana Sanchez, Richard Beanland
https://arxiv.org/abs/2508.06371 https://arxi…

Template masks for 4D-STEM
We present a new analysis method for atomic resolution four-dimensional scanning transmission electron microscopy (4D-STEM, in which a diffraction pattern is collected at each point of a raster scan of a focused electron beam across the specimen). In 4D-STEM, each measured intensity has a dual character, forming a pixel in a diffraction pattern and, equally, forming a pixel in a STEM image. Applying a mask to the data to obtain a "virtual" bright field or dark field image is widely used and und…

Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing
Daniel H. Pak, Shubh Thaker, Kyle Baylous, Xiaoran Zhang, Danny Bluestein, James S. Duncan
https://arxiv.org/abs/2506.08280

Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing
High-quality volumetric meshing from medical images is a key bottleneck for physics-based simulations in personalized medicine. For volumetric meshing of complex medical structures, recent studies have often utilized deep learning (DL)-based template deformation approaches to enable fast test-time generation with high spatial accuracy. However, these approaches still exhibit limitations, such as limited flexibility at high-curvature areas and unrealistic inter-part distances. In this study, we …

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Rxiv-Maker: an automated template engine for streamlined scientific publications
Bruno M. Saraiva, Guillaume Jaquemet, Ricardo Henriques

Anyone doing zabbix and ansible? I got the connection working, but when trying to add a host to the server I kept getting "Template not found". So I removed the templates and I got "Hostgroup not found". So I removed the hostgroup and got this, so I guess i HAVE to have something. But why is it not finding them? Quoted or not quoted, no difference. #ansible

Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios
Mohna Chakraborty, Adithya Kulkarni, Qi Li
https://arxiv.org/abs/2507.00330

Modeling Data Diversity for Joint Instance and Verbalizer Selection in Cold-Start Scenarios
Prompt-based methods leverage the knowledge of pre-trained language models (PLMs) trained with a masked language modeling (MLM) objective; however, these methods are sensitive to template, verbalizer, and few-shot instance selection, particularly in cold-start settings with no labeled data. Existing studies overlook the dependency between instances and verbalizers, where instance-label probabilities depend on verbalizer token proximity in the embedding space. To address this, we propose COLDSEL…

This https://arxiv.org/abs/2504.05307 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization
Scientific metadata often suffer from incompleteness, inconsistency, and formatting errors, which hinder effective discovery and reuse of the associated datasets. We present a method that combines GPT-4 with structured metadata templates from the CEDAR knowledge base to automatically standardize metadata and to ensure compliance with established standards. A CEDAR template specifies the expected fields of a metadata submission and their permissible values. Our standardization process involves u…

Machine learning driven reconstruction of cosmic-ray air showers for next generation radio arrays
Paras Koundal (for the IceCube-Gen2 Collaboration)
https://arxiv.org/abs/2507.07219

Machine learning driven reconstruction of cosmic-ray air showers for next generation radio arrays
Surface radio antenna-based measurements of cosmic-ray air showers present significant computational challenges in accurately reconstructing physics observables, in particular, the depth of shower maximum, X$_{max}$. State-of-the-art template fitting methods rely on extensive simulation libraries, limiting scalability. This work introduces a technique utilizing graph neural networks to reconstruct key air-shower parameters, in particular, direction and shower-core, energy, and X$_{max}$. For tr…

https://www.qubes-os.org/doc/how-to-install-software/
Did not help me but I'm trying to help myself...will I succeed as when I was troubleshooting why my dispXXXX didn't work for new stuff?
I succeeded with dispXXXX thingy...so maybe I'll succeed with insta…

How to install software
When you wish to install software in Qubes OS, you should generally install it in a template. For installing templates themselves, see how to install a template. Advanced users may also be interested in learning how to install software in standalones and dom0. Qubes OS is effectively a ...

EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits
Ron Yosef, Moran Yanuka, Yonatan Bitton, Dani Lischinski
https://arxiv.org/abs/2506.09988

EditInspector: A Benchmark for Evaluation of Text-Guided Image Edits
Text-guided image editing, fueled by recent advancements in generative AI, is becoming increasingly widespread. This trend highlights the need for a comprehensive framework to verify text-guided edits and assess their quality. To address this need, we introduce EditInspector, a novel benchmark for evaluation of text-guided image edits, based on human annotations collected using an extensive template for edit verification. We leverage EditInspector to evaluate the performance of state-of-the-art…

Deployability-Centric Infrastructure-as-Code Generation: An LLM-based Iterative Framework
Tianyi Zhang, Shidong Pan, Zejun Zhang, Zhenchang Xing, Xiaoyu Sun
https://arxiv.org/abs/2506.05623

Deployability-Centric Infrastructure-as-Code Generation: An LLM-based Iterative Framework
Infrastructure-as-Code (IaC) generation holds significant promise for automating cloud infrastructure provisioning. Recent advances in Large Language Models (LLMs) present a promising opportunity to democratize IaC development by generating deployable infrastructure templates from natural language descriptions, but current evaluation focuses on syntactic correctness while ignoring deployability, the fatal measure of IaC template utility. We address this gap through two contributions: (1) IaCGen…

This https://arxiv.org/abs/2504.10484 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Generalized Symmetries of Non-SUSY and Discrete Torsion String Backgrounds
String / M-theory backgrounds with degrees of freedom at a localized singularity provide a general template for generating strongly correlated systems decoupled from lower-dimensional gravity. There are by now several complementary procedures for extracting the associated generalized symmetry data from orbifolds of the form $\mathbb{R}^6 / Γ$, including methods based on the boundary topology of the asymptotic geometry, as well as the adjacency matrix for fermionic degrees of freedom in the qui…

A New Search Pipeline for Short Gamma Ray Bursts in Fermi/GBM Data -- A 50% Increase in the Number of Detections
Ariel Perera, Barak Zackay, Tejaswi Venumadhav
https://arxiv.org/abs/2507.05739

A New Search Pipeline for Short Gamma Ray Bursts in Fermi/GBM Data -- A 50% Increase in the Number of Detections
In this paper, we present the development and the results of a new search pipeline for short gamma-ray bursts (sGRBs) in the publicly available data from the Gamma-Ray Burst Monitor (GBM) on board the Fermi satellite. This pipeline uses rigorous statistical methods that are designed to maximize the information extracted from the Fermi/GBM detectors. Our approach differs substantially from existing search efforts in several aspects: The pipeline includes the construction of template banks, Poiss…

FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing
Mohammed Talha Alam, Fahad Shamshad, Fakhri Karray, Karthik Nandakumar
https://arxiv.org/abs/2508.05636

FaceAnonyMixer: Cancelable Faces via Identity Consistent Latent Space Mixing
Advancements in face recognition (FR) technologies have amplified privacy concerns, necessitating methods that protect identity while maintaining recognition utility. Existing face anonymization methods typically focus on obscuring identity but fail to meet the requirements of biometric template protection, including revocability, unlinkability, and irreversibility. We propose FaceAnonyMixer, a cancelable face generation framework that leverages the latent space of a pre-trained generative mode…

Replaced article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Rxiv-Maker: an automated template engine for streamlined scientific publications
Bruno M. Saraiva, Guillaume Jaquemet, Ricardo Henriques

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Maruf Ahmed Mridul, Ian Sloyan, Aparna Gupta, Oshani Seneviratne
https://arxiv.org/abs/2506.01063

AI4Contracts: LLM & RAG-Powered Encoding of Financial Derivative Contracts
Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) are reshaping how AI systems extract and organize information from unstructured text. A key challenge is designing AI methods that can incrementally extract, structure, and validate information while preserving hierarchical and contextual relationships. We introduce CDMizer, a template-driven, LLM, and RAG-based framework for structured text transformation. By leveraging depth-based retrieval and hierarchical generation, CDMi…

Constraining color-charge effects of partonic energy loss with jet axis-based inclusive jet substructure measurement
Raghunath Pradhan, Olga Evdokimov
https://arxiv.org/abs/2507.02725

Constraining color-charge effects of partonic energy loss with jet axis-based inclusive jet substructure measurement
This study investigates the color-charge dependence of parton energy loss in the quark-gluon plasma (QGP) medium and the associated relative modifications of quark and gluon jet fractions compared to vacuum, using jet axis decorrelation observables. Recent CMS jet axis decorrelation measurements in PbPb collisions at 5.02 TeV are interpreted using Pythia simulations with varied quark/gluon jet compositions and emulated color-charge dependent energy loss. A template-fit procedure is employed to …

GenFair: Systematic Test Generation for Fairness Fault Detection in Large Language Models
Madhusudan Srinivasan, Jubril Abdel
https://arxiv.org/abs/2506.03024

GenFair: Systematic Test Generation for Fairness Fault Detection in Large Language Models
Large Language Models (LLMs) are increasingly deployed in critical domains, yet they often exhibit biases inherited from training data, leading to fairness concerns. This work focuses on the problem of effectively detecting fairness violations, especially intersectional biases that are often missed by existing template-based and grammar-based testing methods. Previous approaches, such as CheckList and ASTRAEA, provide structured or grammar-driven test generation but struggle with low test diver…

Automated Spectroscopic Wavelength Calibration using Dynamic Time Warping
James R. A. Davenport, Francisca Chabour Barra, K. Azalee Bostroem, Sarah Tuttle, Josue Torres, Jessica Birky, Anastasios Tzanidakis, Kal Kadlec, Yuankun Wang, Suzanne L. Hawley, Trevor Z. Dorn-Wallenstein, William Ketzeback, Julene Elias, Abdullah Korra, Anna Panova, Kathryn Devine, Kevin R. Covey

Automated Spectroscopic Wavelength Calibration using Dynamic Time Warping
Here we present an automated method for obtaining wavelength calibrations for one-dimensional spectra, using Dynamic Time Warping (DTW). DTW is a flexible and well-understood algorithm for pattern matching, which has not been widely used in astronomy data analysis. Employing a calibrated template spectrum as a reference, DTW can recover non-linear and even discontinuous dispersion solutions without an initial guess. The algorithm is robust against differing spectral resolution between the templ…

the good thing with "fake ai" is that it is sometimes so stupid that it motivates you to work harder.
I was using the GPT-4o mini regarding I dunno both what it "had" on Qubes OS and modifying Template VMs...the answers it gave were utterly stupid and when I(with some temper issues) pointed it out in a nice and clear way(still with temper issues) it gave the same stupid answers.
Edit: no "part 2" needed, any other parts I just attach to this post...

NUTRIG: Development of a Novel Radio Self-Trigger for GRAND
Pablo Correa, Jelena K\"ohler
https://arxiv.org/abs/2507.04339 https://

NUTRIG: Development of a Novel Radio Self-Trigger for GRAND
The NUTRIG project is dedicated to the development of advanced radio self-trigger methods for large-scale arrays such as the Giant Radio Array for Neutrino Detection (GRAND). The developed techniques are based on features of the radio emission of air showers to perform an efficient online rejection of background. We first describe a first-level trigger (FLT) template-matching method that uses the shape of transient radio pulses measured at the detection-unit level to target those induced by air…