Tootfinder

Wishing C had the ability to do compile-time polymorphism.
Like, I have base class Foo with Bar/Baz derived from it.
I want to be able to put a method DoSomething() in Foo and call it on a Bar or Baz object in a template, without putting a vtable in Foo or incurring the overhead of a virtual method call.
You can sort of get this effect by having Bar/Baz be separate classes with no common base and make the template just call T.Foo() for parameter T, but this eliminates som…

Accounting for Tidal Deformability in Binary Neutron Star Template Banks
Lorenzo Piccari, Francesco Pannarale
https://arxiv.org/abs/2509.24461 https://arxi…

Accounting for Tidal Deformability in Binary Neutron Star Template Banks
Modelled searches for gravitational waves emitted by compact binary coalescences currently filter the data with template signals that ignore all effects related to the physics of dense-matter in neutron stars interiors, even when the masses in the template are compatible with a binary neutron star or a neutron star-black hole binary source. The leading neutron star finite-size effect is an additional phase contribution due to tidal deformations induced by the gravitational coupling between the …

Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement
Jiaqi Zhang, Jiaye Fu, Chuanmin Jia, Siwei Ma, Karam Naser, Thierry Dumas, Saurabh Puri, Milos Radosavljevic
https://arxiv.org/abs/2509.25668

Enhanced Template-based Intra Mode Derivation with Adaptive Block Vector Replacement
Intra prediction is a crucial component in traditional video coding frameworks, aiming to eliminate spatial redundancy within frames. In recent years, an increasing number of decoder-side adaptive mode derivation methods have been adopted into Enhanced Compression Model (ECM). However, these methods predominantly rely on adjacent spatial information for intra mode decision-making, overlooking potential similarity patterns in non-adjacent spatial regions, thereby limiting intra prediction effici…

Do you ever do that thing where you find an STL that might work, but it's not quite right, so you load it up and make some edits, and it's not quite there, so you end up using it as a template to completely redesign your own version from scratch because... that's just what you do?
Me too.
#3DPrinting

STM32MP2 update: I have the MMU up and running on both cores (no caching yet) with a two-level page table.
I'm pretty happy with how my template class for aarch64 page tables turned out.
https://github.com/azonenberg/stm32m…

stm32mp2-baremetal-tests/src/cpu1-a35/bsp/hwinit.cpp at b5631c101d8bda3b13ef732bbebc24fcf3e81c73 · azonenberg/stm32mp2-baremetal-tests
Experimenting with bare metal STM32MP2 development - azonenberg/stm32mp2-baremetal-tests

Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts
Hao-Ping Lee, Yu-Ju Yang, Matthew Bilik, Isadora Krsek, Thomas Serban von Davier, Kyzyl Monteiro, Jason Lin, Shivani Agarwal, Jodi Forlizzi, Sauvik Das
https://arxiv.org/abs/2509.23525

Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts
AI creates and exacerbates privacy risks, yet practitioners lack effective resources to identify and mitigate these risks. We present Privy, a tool that guides practitioners through structured privacy impact assessments to: (i) identify relevant risks in novel AI product concepts, and (ii) propose appropriate mitigations. Privy was shaped by a formative study with 11 practitioners, which informed two versions -- one LLM-powered, the other template-based. We evaluated these two versions of Privy…

A template for data analysis projects structured as R packages (or not) https://github.com/Pakillo/template by @…

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

Dimension-dependent bounds for the SDIEP via phase optimisation and Paley-type constructions
Tomasz Kania
https://arxiv.org/abs/2509.24079 https://arxiv.or…

Dimension-dependent bounds for the SDIEP via phase optimisation and Paley-type constructions
We refine the cycle-walk (Fourier) template of Gnacik and the author to quantify when a~$δ$-Sule\uımanova spectrum $(1,λ_2,\dots,λ_n)$ (with $λ_j\le 0$) is realised by a symmetric doubly stochastic matrix. For the canonical cycle basis we compute the \emph{exact} size-dependent threshold \[ δ_n \;=\; 1-\frac{1}{2\cos^2\!\Big(\fracπ{4n}ρ(n)\Big)}, \quad ρ(n)\in\{0,1,2,4\}\ \text{determined by } n\bmod 8, \] which improves $1/2$ if and only if $8\nmid n$; we also prove sharpness for that…

I shrank down SwiftGodot for those that just want to expose APIs to Godot, but do not need to control Godot, and added a template that you can use to make your own:
This leverages the new "barebones" SwiftGodot work:
https://github.com/migueldeicaza/SwiftGodotAppleT…

GitHub - migueldeicaza/SwiftGodotAppleTemplate: Template project for creating Godot iOS extensions using SwiftGodot
Template project for creating Godot iOS extensions using SwiftGodot - migueldeicaza/SwiftGodotAppleTemplate

Guiding Audio Editing with Audio Language Model
Zitong Lan, Yiduo Hao, Mingmin Zhao
https://arxiv.org/abs/2509.21625 https://arxiv.org/pdf/2509.21625

Guiding Audio Editing with Audio Language Model
Audio editing plays a central role in VR/AR immersion, virtual conferencing, sound design, and other interactive media. However, recent generative audio editing models depend on template-like instruction formats and are restricted to mono-channel audio. These models fail to deal with declarative audio editing, where the user declares what the desired outcome should be, while leaving the details of editing operations to the system. We introduce SmartDJ, a novel framework for stereo audio editing…

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, Ant\'onio D. Brito, Guillaume Jaquemet, Ricardo Henriques

An Efficient Deep Template Matching and In-Plane Pose Estimation Method via Template-Aware Dynamic Convolution
Ke Jia, Ji Zhou, Hanxin Li, Zhigan Zhou, Haojie Chu, Xiaojie Li
https://arxiv.org/abs/2510.01678

An Efficient Deep Template Matching and In-Plane Pose Estimation Method via Template-Aware Dynamic Convolution
In industrial inspection and component alignment tasks, template matching requires efficient estimation of a target's position and geometric state (rotation and scaling) under complex backgrounds to support precise downstream operations. Traditional methods rely on exhaustive enumeration of angles and scales, leading to low efficiency under compound transformations. Meanwhile, most deep learning-based approaches only estimate similarity scores without explicitly modeling geometric pose, making …

Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs
Amna Hassan
https://arxiv.org/abs/2509.08847 https://arxiv.org/pdf/2509.088…

Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs
This paper presents a novel framework for automated game template generation by transforming Game Design Documents (GDDs) into functional Unity game prototypes using Natural Language Processing (NLP) and multi-modal Large Language Models (LLMs). We introduce an end-to-end system that parses GDDs, extracts structured game specifications, and synthesizes Unity-compatible C# code that implements the core mechanics, systems, and architecture defined in the design documentation. Our approach combine…

Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
Ghazal Kalhor, Behnam Bahrak
https://arxiv.org/abs/2509.20168 https://arxi…

Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
Multilingual Large Language Models (LLMs) are increasingly used worldwide, making it essential to ensure they are free from gender bias to prevent representational harm. While prior studies have examined such biases in high-resource languages, low-resource languages remain understudied. In this paper, we propose a template-based probing methodology, validated against real-world data, to uncover gender stereotypes in LLMs. As part of this framework, we introduce the Domain-Specific Gender Skew I…

It took me way too long to figure out that, to create an output file with DOS-style line endings (as required by the iCalendar specification, for example) in #11ty, you just create a template file that has DOS-style line endings. Sometimes things that should be easy are.

Singleton algorithms for the Constraint Satisfaction Problem
Dmitriy Zhuk
https://arxiv.org/abs/2509.18434 https://arxiv.org/pdf/2509.18434

Singleton algorithms for the Constraint Satisfaction Problem
A natural strengthening of an algorithm for the (promise) constraint satisfaction problem is its singleton version: we first fix a constraint to some tuple from the constraint relation, then run the algorithm, and remove the tuple from the constraint if the answer is negative. We characterize the power of the singleton versions of standard universal algorithms for the (promise) CSP over a fixed template in terms of the existence of a minion homomorphism. Using the Hales-Jewett theorem, we show …

Federated Aggregation of Demand Flexibility
Yifan Dong, Ge Chen, Junjie Qin
https://arxiv.org/abs/2509.19612 https://arxiv.org/pdf/2509.19612

Federated Aggregation of Demand Flexibility
This paper proposes a federated framework for demand flexibility aggregation to support grid operations. Unlike existing geometric methods that rely on a static, pre-defined base set as the geometric template for aggregation, our framework establishes a true federated process by enabling the collaborative optimization of this base set without requiring the participants sharing sensitive data with the aggregator. Specifically, we first formulate the base set optimization problem as a bilevel pro…

A GLIMPSE of Intermediate Mass Black holes in the epoch of reionization: Witnessing the Descendants of Direct Collapse?
Qinyue Fei, Seiji Fujimoto, Rohan P. Naidu, John Chisholm, Hakim Atek, Gabriel Brammer, Yoshihisa Asada, Volker Bromm, Lukas J. Furtak, Jenny E. Greene, Tiger Yu-Yang Hsiao, Junehyoung Jeon, Vasily Kokorev, Jorryt Matthee, Priyamvada Natarajan, Johan Richard, Alberto Saldana-Lopez, Daniel Schaerer, Marta Volonteri, Adi Zitrin

A GLIMPSE of Intermediate Mass Black holes in the epoch of reionization: Witnessing the Descendants of Direct Collapse?
JWST has revealed an abundance of supermassive black holes (BHs) in the early Universe, and yet the lowest mass seed black holes that gave rise to these populations remain elusive. Here we present a systematic search for broad-line Active Galactic Nuclei (AGNs) in some of the faintest high-$z$ galaxies surveyed yet by combining ultra-deep JWST/NIRSpec G395M spectroscopy with the strong lensing aid in Abell S1063. By employing the profile of the [OIII]$λ5007$ emission lines as a template for na…

@… oh fascinating. Yeah, I would love to explore more about the tensions there. Specifically if individual file syntax weighs more than the bundler? Like that original decision to require a preprocessor for JSX (where if it were to be designed today I would hope it would use template literals instead). Or how .astro files (last I saw) were pretty tightly coupled to Vite. And ho…

Almost ready with this Hugo template that shows upload activity like Github contributions overview.
Made the template because https://github.com/MeiK2333/github-style is a full theme and makes use of JS.
Things remaining:
- Color legend
- Tooltip date
- remove overla…

Automated and Context-Aware Code Documentation Leveraging Advanced LLMs
Swapnil Sharma Sarker, Tanzina Taher Ifty
https://arxiv.org/abs/2509.14273 https://…

Automated and Context-Aware Code Documentation Leveraging Advanced LLMs
Code documentation is essential to improve software maintainability and comprehension. The tedious nature of manual code documentation has led to much research on automated documentation generation. Existing automated approaches primarily focused on code summarization, leaving a gap in template-based documentation generation (e.g., Javadoc), particularly with publicly available Large Language Models (LLMs). Furthermore, progress in this area has been hindered by the lack of a Javadoc-specific d…

Current status: writing an Ansible task that creates a jinja2 template that creates a bash script that uses bash arrays that come from a YAML dict of lists

🌳 ‘It has a heroic, Roman quality’: how Arkansas’s timber university building could revolutionise architecture
https://www.theguardian.com/artanddesign/2025/aug/26/it-has-a-heroic-rom…

Once every few years I need to do some web development so I look at the state of html and javascript. Lo and behold, today is that day again.
I have now found out about web components, javascript modules, javascript template literals (like Python f-strings but you can pipe the string through a custom function that can rewrite the variables you put in curly brackets).

Remember the cat litter story from https://social.treehouse.systems/@mgorny/115107752572750888?
So, the vendor insisted that the delivery company will take two packages with a single label. The delivery man disagreed. So over the weekend I had to keep asking, and finally got two labels. The delivery man took the packages. I got my money back.
As soon as I found the time, I've left a negative comment on the sales platform, explaining the problem in detail. And what? With a speed of a shitty script I got a request to change the opinion. Of course, it's all a cheap template, cut in the middle because it didn't fit in the explanation length limit. "Oh dearie, could we know why did you give us a negative opinion? Blah blah blah." Yeah, sure. You could have just read it!
But well, I've changed my comment. To one that's even worse. Added that they shamelessly automatically send requests to change the opinion. The platform wanted me to confirm that they didn't offer me a reward for this change of opinion 😆.

Analytical Template for the 4-Point Correlation Function Covariance Beyond the Gaussian Random Field ${\rm II}$: 1-Loop Corrections with Third-Order Densities
William Ortol\'a Leonard, Zachary Slepian
https://arxiv.org/abs/2509.05422

Analytical Template for the 4-Point Correlation Function Covariance Beyond the Gaussian Random Field ${\rm II}$: 1-Loop Corrections with Third-Order Densities
Analytical templates for the 4-Point Correlation Function (4PCF) covariance matrix have been developed in the past assuming a Gaussian Random Field (GRF). In this work, we present the second part of the beyond GRF calculation of the 4PCF covariance, incorporating 1-loop corrections stemming from the third-order density contrast. Furthermore, we introduce a non-trivial galaxy biasing scheme at third order. To simplify the calculation, we decompose the covariance into three distinct structures an…

Python Folks, in my old Perl days I used HTML::Template, is there something comparable (or better) for simple HTML generation with templates in the Python world?
#python #html #perl

Make your blog post creation easier in #Hugo
https://www-gem.codeberg.page/hugo_template

Template-free precision synthesis of biphilic microdome arrays
Haobo Xu, Haonian Shu, Rong Yang
https://arxiv.org/abs/2510.00396 https://arxiv.org/pdf/2510…

Template-free precision synthesis of biphilic microdome arrays
Biphilic microdome arrays are ubiquitous in nature, but their synthetic counterparts have been scarce. To bridge that gap, we leverage condensed droplet polymerization (CDP) to enable their template-free synthesis. During CDP, monomer droplets serve as microreactors for free-radical polymerization. The droplet diameter is monitored in real time. To enable the precise prediction of the convex geometric parameters, we develop a theoretical framework that integrates geometric arguments, scaling an…

TORSO: Template-Oriented Reasoning Towards General Tasks
Minhyuk Kim, Seungyoon Lee, Heuiseok Lim
https://arxiv.org/abs/2509.09448 https://arxiv.org/pdf/25…

TORSO: Template-Oriented Reasoning Towards General Tasks
The approaches that guide Large Language Models (LLMs) to emulate human reasoning during response generation have emerged as an effective method for enabling them to solve complex problems in a step-by-step manner, thereby achieving superior performance. However, most existing approaches using few-shot prompts to generate responses heavily depend on the provided examples, limiting the utilization of the model's inherent reasoning capabilities. Moreover, constructing task-specific few-shot promp…

BatStation: Toward In-Situ Radar Sensing on 5G Base Stations with Zero-Shot Template Generation
Zhihui Gao, Zhecun Liu, Tingjun Chen
https://arxiv.org/abs/2509.06898 https://

BatStation: Toward In-Situ Radar Sensing on 5G Base Stations with Zero-Shot Template Generation
The coexistence between incumbent radar signals and commercial 5G signals necessitates a versatile and ubiquitous radar sensing for efficient and adaptive spectrum sharing. In this context, leveraging the densely deployed 5G base stations (BS) for radar sensing is particularly promising, offering both wide coverage and immediate feedback to 5G scheduling. However, the targeting radar signals are superimposed with concurrent 5G uplink transmissions received by the BS, and practical deployment al…

SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
David Stotko, Reinhard Klein
https://arxiv.org/abs/2509.08828 ht…

SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
The reconstruction of three-dimensional dynamic scenes is a well-established yet challenging task within the domain of computer vision. In this paper, we propose a novel approach that combines the domains of 3D geometry reconstruction and appearance estimation for physically based rendering and present a system that is able to perform both tasks for fabrics, utilizing only a single monocular RGB video sequence as input. In order to obtain realistic and high-quality deformations and renderings, …

Attention U-Net for all-sky continuous gravitational wave searches
Damon H. T. Cheung
https://arxiv.org/abs/2509.19838 https://arxiv.org/pdf/2509.19838

Attention U-Net for all-sky continuous gravitational wave searches
Detecting continuous gravitational waves is challenging due to the high computational cost of template-based searches across large parameter spaces, particularly for all-sky searches. Machine learning offers a promising solution to perform these searches with reasonable computational resources. In this study, we trained an attention U-Net, a convolutional neural network, on $\approx$ 10.67 days of simulated data with Gaussian noise for all-sky searches at different frequencies within the 20-100…

I don't really feel any different about AI-generated images on web pages than I do the many years of stock images adding nothing more than filling the hole the designer left in the template.

its insane how broken Confluence Cloud is. All the Atlassian Automation and AI can't achieve a simple thing: Create a page from a template and replace variables from user input ...
One would think this is pretty straightforward.... but not with Atlassian Cloud ... 🤦

Manchester’s Local Plan is available in draft.
You've til 17 Nov to respond.
Our post gives you the links to the plan and consultantation, AND our draft response that you can use as a template for yours!
In summary, the council is constrained by planning regulations but they could still do much better.
Tell them!
 #Manchester

Manchester’s Local Plan – responding to the consultation
Local Plans are what guide the pattern of a land use and and building across a council area.  In the case of Greater Manchester (excluding Stockport), the Joint Strategic Plan, Places for Everyone …

Archival Search for IceCube Sub-TeV Neutrino Counterparts to Sub-Threshold Gravitational Wave Events from the Third Observing Run of the LIGO-Virgo-KAGRA
Tista Mukherjee (for the IceCube Collaboration)
https://arxiv.org/abs/2509.13003

Archival Search for IceCube Sub-TeV Neutrino Counterparts to Sub-Threshold Gravitational Wave Events from the Third Observing Run of the LIGO-Virgo-KAGRA
The IceCube Neutrino Observatory actively participates in multimessenger follow-ups of gravitational-wave (GW) events. With the release of the Gravitational-Wave Transient Catalogue (GWTC)-2.1 and -3, the sub-threshold GW event information from the third observation run of the LIGO-Virgo-KAGRA (LVK) detectors is publicly available. These sub-threshold GWs are identified via template-based and minimally modelled search pipelines. Neutrino counterparts can enhance their astrophysical significance…

Bayesian recalibration of flux scale factors in diffuse radio maps using low-resolution absolute radiometers
Ainulnabilah Nasirudin, Philip Bull
https://arxiv.org/abs/2509.11894

Bayesian recalibration of flux scale factors in diffuse radio maps using low-resolution absolute radiometers
The Haslam 408 MHz all-sky map is widely used as a template to model the diffuse Galactic synchrotron emission at radio and microwave frequencies. Recent studies have suggested that there are large uncorrected flux scale errors in this map, however. We investigate the possibility of statistically recalibrating the Haslam map using absolutely-calibrated (but low angular resolution) radio experiments designed to measure the 21cm global signal at low frequencies. We construct a Gibbs sampling sche…

Some time ago I made a Github style overview heatmap template for Hugo and now want to make styles for Codeberg, Forgejo and Gitea. The problem is that I can't find the colors for Gitea. For the moment I can get the dark color scheme from Gitea's home page and their Github repo. Could anyone here with an instance find those for me?

Tell Portland City Government: Revoke the ICE Permit!
This campaign was created to protect immigrants in Portland, OR by Revoking the ICE Permit for the building located at 4310 S Macadam Ave, Portland, OR 97239. Join us in sending emails to Portland City Council, the Mayor and the Permitting and Development Department demanding they revoke the permit. Please feel free to use the template provided and/or add a personal message as well.

Fully automated inverse co-optimization of templates and block copolymer blending recipes for DSA lithography
Yuhao Zhou, Huangyan Shen, Qingliang Song, Qingshu Dong, Jianfeng Li, Weihua Li
https://arxiv.org/abs/2510.02715

Fully automated inverse co-optimization of templates and block copolymer blending recipes for DSA lithography
The directed self-assembly (DSA) of block copolymers (BCPs) offers a highly promising approach for the fabrication of contact holes or vertical interconnect access at sub-7nm technology nodes. To fabricate circular holes with precisely controlled size and positions, the self-assembly of block copolymers requires guidance from a properly designed template. Effectively parameterizing the template shape to enable efficient optimization remains a critical yet challenging problem. Moreover, the opti…

Early Results from Teaching Modelling for Software Comprehension in New-Hire Onboarding
Mrityunjay Kumar, Venkatesh Choppella
https://arxiv.org/abs/2510.07010 https://

Early Results from Teaching Modelling for Software Comprehension in New-Hire Onboarding
Working effectively with large, existing software systems requires strong comprehension skills, yet most graduates enter the industry with little preparation for this challenge. We report early results from a pilot intervention integrated into a SaaS company's onboarding program: a five-session course introducing systems thinking and Labelled Transition System (LTS) modelling. Participants articulated their understanding of product behaviour using a structured template and completed matched pre…

Prompt2DAG: A Modular Methodology for LLM-Based Data Enrichment Pipeline Generation
Abubakari Alidu, Michele Ciavotta, Flavio DePaoli
https://arxiv.org/abs/2509.13487 https://…

Prompt2DAG: A Modular Methodology for LLM-Based Data Enrichment Pipeline Generation
Developing reliable data enrichment pipelines demands significant engineering expertise. We present Prompt2DAG, a methodology that transforms natural language descriptions into executable Apache Airflow DAGs. We evaluate four generation approaches -- Direct, LLM-only, Hybrid, and Template-based -- across 260 experiments using thirteen LLMs and five case studies to identify optimal strategies for production-grade automation. Performance is measured using a penalized scoring framework that combin…

Analytical Template for the 4-Point Correlation Function Covariance Beyond the Gaussian Random Field ${\rm I}$: 1-Loop Corrections involving Second-Order Densities
William Ortol\'a Leonard, Zachary Slepian
https://arxiv.org/abs/2509.05419

Analytical Template for the 4-Point Correlation Function Covariance Beyond the Gaussian Random Field ${\rm I}$: 1-Loop Corrections involving Second-Order Densities
Analytical templates for the covariance matrix of the 4-Point Correlation Function (4PCF) have been developed in the past assuming a Gaussian Random Field (GRF). In this work, we present the first non-Gaussian calculation of the 4PCF covariance, incorporating 1-loop corrections using the second-order density contrast. Furthermore, we introduce a non-trivial galaxy bias scheme at second order. To simplify the calculation, we decompose the covariance into five distinct structures, and then exploi…

Are diffusion models ready for materials discovery in unexplored chemical space?
Sanghyun Kim, Gihyeon Jeon, Seungwoo Hwang, Jiho Lee, Jisu Jung, Seungwu Han, Sungwoo Kang
https://arxiv.org/abs/2510.09406

Are diffusion models ready for materials discovery in unexplored chemical space?
While diffusion models are attracting increasing attention for the design of novel materials, their ability to generate low-energy structures in unexplored chemical spaces has not been systematically assessed. Here, we evaluate the performance of two diffusion models, MatterGen and DiffCSP, against three databases: a ternary oxide set (constructed by a genetic algorithm), a ternary nitride set (constructed by template informatics), and the GNoME database (constructed by a combination of both). …

Improved Bounds for Twin-Width Parameter Variants with Algorithmic Applications to Counting Graph Colorings
Ambroise Baril, Miguel Couceiro, Victor Lagerkvist
https://arxiv.org/abs/2509.05122

Improved Bounds for Twin-Width Parameter Variants with Algorithmic Applications to Counting Graph Colorings
The $H$-Coloring problem is a well-known generalization of the classical NP-complete problem $k$-Coloring where the task is to determine whether an input graph admits a homomorphism to the template graph $H$. This problem has been the subject of intense theoretical research and in this article we study the complexity of $H$-Coloring with respect to the parameters clique-width and the more recent component twin-width, which describe desirable computational properties of graphs. We give two surpr…

Generalizable Geometric Image Caption Synthesis
Yue Xin, Wenyuan Wang, Rui Pan, Ruida Wang, Howard Meng, Renjie Pi, Shizhe Diao, Tong Zhang
https://arxiv.org/abs/2509.15217 http…

Generalizable Geometric Image Caption Synthesis
Multimodal large language models have various practical applications that demand strong reasoning abilities. Despite recent advancements, these models still struggle to solve complex geometric problems. A key challenge stems from the lack of high-quality image-text pair datasets for understanding geometric images. Furthermore, most template-based data synthesis pipelines typically fail to generalize to questions beyond their predefined templates. In this paper, we bridge this gap by introducing…

Cin\'{e}aste: A Fine-grained Contextual Movie Question Answering Benchmark
Nisarg A. Shah, Amir Ziai, Chaitanya Ekanadham, Vishal M. Patel
https://arxiv.org/abs/2509.14227 h…

Cinéaste: A Fine-grained Contextual Movie Question Answering Benchmark
While recent advancements in vision-language models have improved video understanding, diagnosing their capacity for deep, narrative comprehension remains a challenge. Existing benchmarks often test short-clip recognition or use template-based questions, leaving a critical gap in evaluating fine-grained reasoning over long-form narrative content. To address these gaps, we introduce $\mathsf{Cin\acute{e}aste}$, a comprehensive benchmark for long-form movie understanding. Our dataset comprises 3,…

Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/1]:
- Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs
Amna Hassan

MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems
Shreeranjani Srirangamsridharan, Ali Abavisani, Reza Yousefi Maragheh, Ramin Giahi, Kai Zhao, Jason Cho, Sushant Kumar
https://arxiv.org/abs/2510.01523

MetaSynth: Multi-Agent Metadata Generation from Implicit Feedback in Black-Box Systems
Meta titles and descriptions strongly shape engagement in search and recommendation platforms, yet optimizing them remains challenging. Search engine ranking models are black box environments, explicit labels are unavailable, and feedback such as click-through rate (CTR) arrives only post-deployment. Existing template, LLM, and retrieval-augmented approaches either lack diversity, hallucinate attributes, or ignore whether candidate phrasing has historically succeeded in ranking. This leaves a g…

For $reasons I needed a string in an Ansible Jinja2 template which would be a time between 18:00:00 and the following 05:00:00 (an 11 hour span).
The time should be different for each host, spread throughout the range, but should be deterministic (i.e. it will never change for a given host).
The best I could come up with was: https://pa…

The two conduction bands of monolayer CrSBr on Au
Yogal Prasad Ghimirey, Laxman Nagireddy, Cephise Cacho, Neil R. Wilson, Matthew D. Watson
https://arxiv.org/abs/2510.04925 http…

The two conduction bands of monolayer CrSBr on Au
We report the electronic structure of monolayer CrSBr exfoliated onto mica template-stripped gold substrates. Angle-resolved photoemission spectroscopy reveals charge transfer from the substrate, populating the conduction band of monolayer CrSBr, accompanied by a pronounced reduction in the quasiparticle band gap. Furthermore, we observe two separate conduction bands that exhibit a splitting at the X point. This indicates a breaking of glide-mirror symmetry, which in the bulk or in a free-stand…

Routinely ignoring Dependabot requests pays off again, probably.
https://cyberplace.social/@GossiTheDog/115169390397282254

AI as a Centripetal Technology: Price Compression, Homogenization, and Entry
Aliya Turegeldinova, Bakytzhan Amralinova, Mate Miklos Fodor, Akerkin Eraliyeva, Chen Dayou, Aidos Joldassov
https://arxiv.org/abs/2510.08337

AI as a Centripetal Technology: Price Compression, Homogenization, and Entry
Generative AI does more than cut costs. It pulls products toward a shared template, making offerings look and feel more alike while making true originality disproportionately expensive. We capture this centripetal force in a standard two-stage differentiated-competition framework and show how a single capability shift simultaneously compresses perceived differences, lowers marginal cost and raises fixed access costs. The intuition is straightforward. When buyers see smaller differences across p…

Towards Efficient 3D Gaussian Human Avatar Compression: A Prior-Guided Framework
Shanzhi Yin, Bolin Chen, Xinju Wu, Ru-Ling Liao, Jie Chen, Shiqi Wang, Yan Ye
https://arxiv.org/abs/2510.10492

Towards Efficient 3D Gaussian Human Avatar Compression: A Prior-Guided Framework
This paper proposes an efficient 3D avatar coding framework that leverages compact human priors and canonical-to-target transformation to enable high-quality 3D human avatar video compression at ultra-low bit rates. The framework begins by training a canonical Gaussian avatar using articulated splatting in a network-free manner, which serves as the foundation for avatar appearance modeling. Simultaneously, a human-prior template is employed to capture temporal body movements through compact par…

Residual Test for the Third Gravitational-Wave Transient Catalog
Dicong Liang, Ning Dai, Yingjie Yang
https://arxiv.org/abs/2509.14924 https://arxiv.org/pd…

Residual Test for the Third Gravitational-Wave Transient Catalog
The residual test is commonly used to check the agreement between the gravitational wave signal and the theoretical waveform template. The basic idea of the residual test is to subtract the best-fit waveform from the data and then check whether the remaining data (i.e., the residuals) are consistent with the instrumental noise or not. We apply the Kolmogorov-Smirnov test, the Anderson-Darling test and the chi-squared test as goodness-of-fit test to examine the residuals of events in the third g…

Replaced article(s) found for q-bio.BM. https://arxiv.org/list/q-bio.BM/new
[1/1]:
- 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…

Crosslisted article(s) found for physics.chem-ph. https://arxiv.org/list/physics.chem-ph/new
[1/1]:
- Template-free precision synthesis of biphilic microdome arrays
Haobo Xu, Haonian Shu, Rong Yang

Crosslisted article(s) found for cs.SE. https://arxiv.org/list/cs.SE/new
[1/1]:
- Automated Unity Game Template Generation from GDDs via NLP and Multi-Modal LLMs
Amna Hassan

Confinement-Controlled Morphology and Stability of One-Dimensional CrI3 Nanotubes
Ihsan Caha, Aqrab ul Ahmad, Francis Leonard Deepak
https://arxiv.org/abs/2510.05889 https://

Confinement-Controlled Morphology and Stability of One-Dimensional CrI3 Nanotubes
Integrating monolayers derived from 2D van der Waals (vdW) magnetic materials into next-generation technological applications remains a significant challenge due to their structural and magnetic instability issues. Template-assisted encapsulation is a potential route for the growth of stable 2D monolayers aimed at designing novel 1D heterostructures, opening new avenues for studying low-dimensional quantum effects and spin-related phenomena. In this study, we explored the diameter-dependent enc…

Random Forest Classification of MBTA Gravitational-Wave Triggers for Low-Latency Detection
Lorenzo Mobilia, Gianluca Maria Guidi
https://arxiv.org/abs/2509.12882 https://…

Random Forest Classification of MBTA Gravitational-Wave Triggers for Low-Latency Detection
In this work, we explore a possible application of a machine learning classifier for candidate events in a template-based search for gravitational-wave (GW) signals from various compact system sources. We analyze data from the O3a and O3b data acquisition campaign, during which the sensitivity of ground-based detectors is limited by real non-Gaussian noise transient. The state-of-the-art searches for such signals tipically rely on the signal-to-noise ratio (SNR) and a chi-square test to assess …

Expectations for the first supermassive black-hole binary resolved by PTAs II: Milestones for binary characterization
Polina Petrov, Levi Schult, Stephen R. Taylor, Nihan Pol, Nima Laal, Maria Charisi, Chung-Pei Ma
https://arxiv.org/abs/2510.01316

Expectations for the first supermassive black-hole binary resolved by PTAs II: Milestones for binary characterization
Following the recent evidence for a gravitational wave (GW) background found by pulsar timing array (PTA) experiments, the next major science milestone is resolving individual supermassive black hole binaries (SMBHBs). The detection of these systems could arise via searches using a power-based GW anisotropy model or a deterministic template model. In Schult et al. 2025, we compared the efficacy of these models in constraining the GW signal from a single SMBHB using realistic, near-future PTA da…

Simulation-based Inference of Massive Black Hole Binaries using Sequential Neural Likelihood
Iv\'an Mart\'in V\'ilchez, Carlos F. Sopuerta
https://arxiv.org/abs/2509.13842

Simulation-based Inference of Massive Black Hole Binaries using Sequential Neural Likelihood
We propose a machine learning-based approach for parameter estimation of Massive Black Hole Binaries (MBHBs), leveraging normalizing flows to approximate the likelihood function. By training these flows on simulated data, we can generate posterior samples via Markov Chain Monte Carlo with a relatively reduced computational cost. Our method enables iterative refinement of smaller models targeting specific MBHB events, with significantly fewer waveform template evaluations. However, dimensionalit…

Dark Energy Survey Year 6 Results: improved mitigation of spatially varying observational systematics with masking
M. Rodr\'iguez-Monroy, N. Weaverdyck, J. Elvin-Poole, I. Sevilla-Noarbe, A. Carnero Rosell, A. Drlica-Wagner, S. Avila, M. R. Becker, K. Bechtol, M. Crocce, M. Gatti, J. Mena-Fern\'andez, A. Porredon, D. Sanchez Cid, M. Yamamoto, M. Aguena, S. S. Allam, O. Alves, F. Andrade-Oliveira, D. Bacon, J. Blazek, S. Bocquet, D. Brooks, R. Camilleri, J. Carretero, R. Cawthon…

Dark Energy Survey Year 6 Results: improved mitigation of spatially varying observational systematics with masking
As photometric surveys reach unprecedented statistical precision, systematic uncertainties increasingly dominate large-scale structure probes relying on galaxy number density. Defining the final survey footprint is critical, as it excludes regions affected by artefacts or suboptimal observing conditions. For galaxy clustering, spatially varying observational systematics, such as seeing, are a leading source of bias. Template maps of contaminants are used to derive spatially dependent correction…

PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis
Lionel Levine, John Santerre, Alexander S. Young, T. Barry Levine, Francis Campion, Majid Sarrafzadeh
https://arxiv.org/abs/2510.01114

PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis
We present PRISM-Consult, a clinician-aligned panel-of-experts architecture that extends the compact PRISM sequence model into a routed family of domain specialists. Episodes are tokenized as structured clinical events; a light-weight router reads the first few tokens and dispatches to specialist models (Cardiac-Vascular, Pulmonary, Gastro-Oesophageal, Musculoskeletal, Psychogenic). Each specialist inherits PRISM's small transformer backbone and token template, enabling parameter efficiency and…

PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis
Lionel Levine, John Santerre, Alexander S. Young, T. Barry Levine, Francis Campion, Majid Sarrafzadeh
https://arxiv.org/abs/2510.01114

PRISM-Consult: A Panel-of-Experts Architecture for Clinician-Aligned Diagnosis
We present PRISM-Consult, a clinician-aligned panel-of-experts architecture that extends the compact PRISM sequence model into a routed family of domain specialists. Episodes are tokenized as structured clinical events; a light-weight router reads the first few tokens and dispatches to specialist models (Cardiac-Vascular, Pulmonary, Gastro-Oesophageal, Musculoskeletal, Psychogenic). Each specialist inherits PRISM's small transformer backbone and token template, enabling parameter efficiency and…

Nearly Full-Sky Low-Multipole CMB Temperature Anisotropy: II. Angular Power Spectra and Likelihood
Hayley C. Nofi, Graeme E. Addison, Charles L. Bennett, Laura Herold, J. L. Weiland
https://arxiv.org/abs/2509.03719

Nearly Full-Sky Low-Multipole CMB Temperature Anisotropy: II. Angular Power Spectra and Likelihood
We present a CMB temperature power spectrum measurement at large angular scales from WMAP and Planck maps that were cleaned of foregrounds using a template-based approach described in a companion paper. We recover essentially the full-sky CMB information at multipoles $\ell<30$ with only 1% of pixels near the Galactic plane masked and no inpainting. Notable features continue to appear: (a) a low quadrupole power compared to the best-fit Planck 2018 $Λ$CDM spectrum at $2.2σ$, (b) a dip in the …

Nearly Full-Sky Low-Multipole CMB Temperature Anisotropy: I. Foreground Cleaned Maps
Hayley C. Nofi, Graeme E. Addison, Charles L. Bennett, Laura Herold, J. L. Weiland
https://arxiv.org/abs/2509.03718 …

Nearly Full-Sky Low-Multipole CMB Temperature Anisotropy: I. Foreground Cleaned Maps
Studies of cosmic microwave background (CMB) are often limited by foreground contamination. Foreground cleaning is performed either in harmonic or pixel space after data cuts have excluded sky areas of strong contamination. We present a nearly full-sky CMB temperature map with only 1% of pixels masked. To derive this map, we make use of six full-sky template maps at foreground-dominated frequencies from different experiments smoothed to $1^\circ$ and rely on the combination of these weighted ma…