Tootfinder

Mayor Lurie has to be reined in. He thinks he's CEO of the city and can do whatever he wants, and the Board of Supervisors keeps rolling over and letting him. Good on Kathrin Moore for this
https://missionlocal.org/2025/06/sf-planning-director…

New S.F. planning director’s appointment process was illegal, commissioner says
An S.F. planning commissioner is says the commission's president wrangled votes for the mayor's pick to lead the department — an alleged violation of open meeting laws

Germany-based Makersite, which helps clients like Microsoft improve product sustainability during the design process, raised a €60M Series B (David Cendon Garcia/EU-Startups)
https://www.eu-startups.com/2025/07/german

Active Learning for Manifold Gaussian Process Regression
Yuanxing Cheng, Lulu Kang, Yiwei Wang, Chun Liu
https://arxiv.org/abs/2506.20928 https://

Active Learning for Manifold Gaussian Process Regression
This paper introduces an active learning framework for manifold Gaussian Process (GP) regression, combining manifold learning with strategic data selection to improve accuracy in high-dimensional spaces. Our method jointly optimizes a neural network for dimensionality reduction and a Gaussian process regressor in the latent space, supervised by an active learning criterion that minimizes global prediction error. Experiments on synthetic data demonstrate superior performance over randomly sequen…

Nonparametric Bayesian analysis for the Galton-Watson process
Massimo Cannas, Michele Guindani, Nicola Piras
https://arxiv.org/abs/2506.21304 https://

Nonparametric Bayesian analysis for the Galton-Watson process
The Galton-Watson process is a model for population growth which assumes that individuals reproduce independently according to the same offspring distribution. Inference usually focuses on the offspring average as it allows to classify the process with respect to extinction. We propose a fully non-parametric approach for Bayesian inference on the GW model using a Dirichlet Process prior. The prior naturally generalizes the Dirichlet conjugate prior distribution, and it allows learning the suppo…

California Gov. Gavin Newsom is doubling down on his threat to overhaul the state's independent redistricting process,
escalating a political standoff with Texas Republicans that's becoming a flashpoint in the fight for control of Congress.
This week, the Texas Legislature kicked off a special session where redistricting is on the table,
🆘as Republicans reevaluate their congressional maps to help the GOP retain its slim House majority after the 2026 midterms.
A…

Newsom calls GOP's push to redraw TX congressional maps an 'existential crisis to democracy'
Newsom told reporters the GOP's push to redraw congressional maps in Texas is a "five-alarm fire for democracy in the United States" and is doubling down on his threat to overhaul California's redistricting process.

Musician and writer Greta Morgan on resisting the expectations of others
https://thecreativeindependent.com/people/musician-…

Musician and writer Greta Morgan on resisting the expectations of others – The Creative Independent
Musician and author Greta Morgan discusses finding balance after loss, leaning into your strangeness and getting grounded with meditation

Dak Prescott trusting rehab process ahead of pivotal 2025 NFL season https://www.si.com/nfl/cowboys/news/dak-prescott-trusting-rehab-process-ahead-pivotal-2025-nfl-season

Prokhorov Metric Convergence of the Partial Sum Process for Reconstructed Functional Data
Tim Kutta, Piotr Kokoszka
https://arxiv.org/abs/2506.21172 https:…

Prokhorov Metric Convergence of the Partial Sum Process for Reconstructed Functional Data
Motivated by applications in functional data analysis, we study the partial sum process of sparsely observed, random functions. A key novelty of our analysis are bounds for the distributional distance between the limit Brownian motion and the entire partial sum process in the function space. To measure the distance between distributions, we employ the Prokhorov and Wasserstein metrics. We show that these bounds have important probabilistic implications, including strong invariance principles an…

The highs and lows of fieldwork: on the sometimes frustrating, sometimes rewarding process of learning new skills. Also, back to the sea ice again.
#FieldDiary updates
https://sternaparadisaea.net/2025/05/24/field-diary-2025/

New 3 year #phdPosition in our department on building Trustworthy AI
#AI

PhD Thesis "Scalable Process Patterns and Decision Frameworks for Trustworthy AI Engineering"

I have just figured out the weird opaque process to add alt text to images in Teams and, as a result, discovered it only allows 240 characters.
Well done, fuckaroos.

SESR-Eval: Dataset for Evaluating LLMs in the Title-Abstract Screening of Systematic Reviews
Aleksi Huotala, Miikka Kuutila, Mika M\"antyl\"a
https://arxiv.org/abs/2507.19027

SESR-Eval: Dataset for Evaluating LLMs in the Title-Abstract Screening of Systematic Reviews
Background: The use of large language models (LLMs) in the title-abstract screening process of systematic reviews (SRs) has shown promising results, but suffers from limited performance evaluation. Aims: Create a benchmark dataset to evaluate the performance of LLMs in the title-abstract screening process of SRs. Provide evidence whether using LLMs in title-abstract screening in software engineering is advisable. Method: We start with 169 SR research artifacts and find 24 of those to be suitabl…

Milwaukee Peeps! A photographer friend of mine is working on a really cool project..
"Using 19th century dry plate photography to create a new body of work focused on Milwaukee, Wisconsin."
➡️ https://www.kickstarter.com/projects/15128

Optimizing Gaussian Process Kernels Using Nested Sampling and ABC Rejection for H(z) Reconstruction
Jia-yan Jiang, Kang Jiao, Tong-Jie Zhang
https://arxiv.org/abs/2506.21238

Optimizing Gaussian Process Kernels Using Nested Sampling and ABC Rejection for H(z) Reconstruction
Recent cosmological observations have achieved high-precision measurements of the Universe's expansion history, prompting the use of nonparametric methods such as Gaussian processes (GP) regression. We apply GP regression for reconstructing the Hubble parameter using CC data, with improved covariance modeling and latest study in CC data. By comparing reconstructions in redshift space $z$ and transformed space $\log(z+1)$ , we evaluate six kernel functions using nested sampling (NS) and approxim…

Resources listed for the EU project "Assisting the process of integrating children with impaired vision in school system" https://visionassist.eu/en/resources/

"For more than half a century, Argentina has tried as hard as it could to push intellectuals out of the country, committing a slow institutionalized suicide. This almost imperceptible rotting process is at the root of the decadence of what was considered one of the richest and most advanced countries at the beginning of the 20th century."
Watching the US repeating this pattern in real time is unbearable yet completely predictable.

The Argentine Brain Drain
Argentina is currently experiencing a brain drain so strong that it made the headlines on Swiss television.

AI in the Writing Process: How Purposeful AI Support Fosters Student Writing
Momin N. Siddiqui, Roy Pea, Hari Subramonyam
https://arxiv.org/abs/2506.20595 …

AI in the Writing Process: How Purposeful AI Support Fosters Student Writing
The ubiquity of technologies like ChatGPT has raised concerns about their impact on student writing, particularly regarding reduced learner agency and superficial engagement with content. While standalone chat-based LLMs often produce suboptimal writing outcomes, evidence suggests that purposefully designed AI writing support tools can enhance the writing process. This paper investigates how different AI support approaches affect writers' sense of agency and depth of knowledge transformation. T…

Crystallization of metallic glass as a grain-boundary nucleated process: experimental and theoretical evidence for the grain structure of metallic glasses
Nikolay V. Alekseechkin
https://arxiv.org/abs/2506.21261

Crystallization of metallic glass as a grain-boundary nucleated process: experimental and theoretical evidence for the grain structure of metallic glasses
Experimental DSC and Avrami curves for the crystallization of metallic glasses demonstrate nucleation at grain boundaries and thus indicate their grain structure, which refutes the generally accepted idea of glass as a homogeneous frozen liquid obtained as a result of avoiding crystallization. Under certain conditions, this nucleation mechanism results in the appearance of two-peak DSC curves and three-step Avrami plots which are observed experimentally. To clarify these conditions, isothermal …

Once I'm settled there (moving early Aug) I'll probably write a blog post about the process and doing it without any lawyers/immigration advisors, etc.

For anyone who wants to self-host their catalog of book video game or movie collections, Koillection is a good open-source option.
It can also be installed using Docker, which can speed up the setup process.
I've only been using this tool for a couple of days, and it looks promising. The only thing that doesn't seem very intuitive at the moment is the scraping system, although its developer has commented on GitHub that they are working on it.

I forget. What do you call it when a single political appointee overturns an established, disciplined, scientific process because he's smarter than everyone else combined? https://www.nytimes.com/2025/05/27/health/covid-vac…

Definitely encouraging as far as shipping emissions goes, and I appreciate that the quicklime used in the process will be produced with renewable energy - but, as I understand the normal process for making quicklime, limestone aka calcium carbonate (CaCO3) is baked at high temperatures, driving the chemical reaction CaCO3 > CaO CO2.
And what is not addressed is how to manage the CO2 from this reaction - Yes, it can (in principle) be captured, but then what do you do with it? This…

Definitely encouraging as far as shipping emissions goes, and I appreciate that the quicklime used in the process will be produced with renewable energy - but, as I understand the normal process for making quicklime, limestone aka calcium carbonate (CaCO3) is baked at high temperatures, driving the chemical reaction CaCO3 > CaO CO2.
And what is not addressed is how to manage the CO2 from this reaction - Yes, it can (in principle) be captured, but then what do you do with it? This…

This https://arxiv.org/abs/2502.00874 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Paper Copilot Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process
The rapid growth of submissions to top-tier Artificial Intelligence (AI) and Machine Learning (ML) conferences has prompted many venues to transition from closed to open review platforms. Some have fully embraced open peer reviews, allowing public visibility throughout the process, while others adopt hybrid approaches, such as releasing reviews only after final decisions or keeping reviews private despite using open peer review systems. In this work, we analyze the strengths and limitations of …

#WordWeavers 27 May
Do you specifically design your characters, or do they develop as you write?
I begin with a core, things happens that change that core. Like rolling a snowball in the snow. It grows, gets layered. I apply some pressure, see what happens.
It's a growing process mostly. I almost never begin writing at the beginning, but at a point earlier, so that i can hit…

How popular media gets love wrong
Had some thoughts in response to a post about loneliness on here. As the author emphasized, reassurances from people who got lucky are not terribly comforting to those who didn't, especially when the person who was lucky had structural factors in their favor that made their chances of success much higher than those is their audience. So: these are just my thoughts, and may not have any bearing on your life. I share them because my experience challenged a lot of the things I was taught to believe about love, and I think my current beliefs are both truer and would benefit others seeing companionship.
We're taught in many modern societies from an absurdly young age that love is not something under our control, and that dating should be a process of trying to kindle love with different people until we meet "the one" with whom it takes off. In the slightly-less-fairytale corners of modern popular media, we might fund an admission that it's possible to influence love, feeding & tending the fire in better or worse ways. But it's still modeled as an uncontrollable force of nature, to be occasionally influenced but never tamed. I'll call this the "fire" model of love.
We're also taught (and non-boys are taught more stringently) a second contradictory model of love: that in a relationship, we need to both do things and be things in order to make our partner love us, and that if we don't, our partner's love for us will wither, and (especially if you're not a boy) it will be our fault. I'll call this the "appeal" model of love.
Now obviously both of these cannot be totally true at once, and plenty of popular media centers this contradiction, but there are really very few competing models on offer.
In my experience, however, it's possible to have "pre-meditated" love. In other words, to decide you want to love someone (or at least, try loving them), commit to that idea, and then actually wind up in love with them (and them with you, although obviously this second part is not directly under your control). I'll call this the "engineered" model of love.
Now, I don't think that the "fire" and "appeal" models of love are totally wrong, but I do feel their shortcomings often suggest poor & self-destructive relationship strategies. I do think the "fire" model is a decent model for *infatuation*, which is something a lot of popular media blur into love, and which drives many (but not all) of the feelings we normally associate with love (even as those feelings have other possible drivers too). I definitely experienced strong infatuation early on in my engineered relationship (ugh that sounds terrible but I'll stick with it; I promise no deception was involved). I continue to experience mild infatuation years later that waxes and wanes. It's not a stable foundation for a relationship but it can be a useful component of one (this at least popular media depicts often).
I'll continue these thoughts in a reply, by it might take a bit to get to it.
#relationships

Join Dennis Berger, Marco Petris, and Volker Carlguth to explore 'Intent-Based Clustering.' An approach to overcome some limitations of modern hybrid search systems. Discover how upfront LLM-supported in-depth query understanding can be applied in various steps, including retrieval, clustering, validation, and presentation. Learn about the process of moving from prototype to production for large-scale, high-volume e-commerce searches.

What you see is what you mean; intent based ecommerce search
In today's e-commerce landscape, hybrid search systems represent the market standard, yet they often struggle with highly inspirational queries, lack of precision in semantic recall, and presentation of diversity. Ambiguity in search terms can lead to disorganized results or overshadowed relevant products. This session will demonstrate how an upfront LLM-supported in depth query understanding can increase recall meaningfully without sacrificing precision. We show how LLM-driven query understand…

Convergence of the KMP model to the KPZ equation
Guillaume Barraquand, Francesco Casini
https://arxiv.org/abs/2507.19222 https://arxiv.org/pdf/2507.19222…

Convergence of the KMP model to the KPZ equation
We prove that the Kipnis-Marchioro-Presutti (KMP) process converges to the Kardar-Parisi-Zhang (KPZ) equation, as time $t$ goes to infinity, in a properly scaled observation window shifted by $t^{3/4}$. Our proof is based on identifying the KMP process with a stochastic flow of kernels describing transition probabilities in a certain model of random walk in space-time random environment. This allows to apply a recent result of arXiv:2401.06073 proving convergence of the density field of random …

Continuous sample space reducing stochastic process
Rahul Chhimpa, Avinash Chand Yadav\
https://arxiv.org/abs/2507.18086 https://arxiv.org/pdf/2507.18086…

Continuous sample space reducing stochastic process
We propose a simple model for sample space reducing (SSR) stochastic process, where the dynamical variable denoting the size of the state space is continuous. In general, one can view the model as a multiplicative stochastic process, with a constraint that the size of the state space cannot be smaller than a visibility parameter $ε$. We study the survival time statistics that reveal a subtle difference from the discrete version of the process. A straightforward generalization can explain the n…

"In recent times, tire wear particles have been found to account for about 45% of all microplastics in both terrestrial and aquatic systems...
Rain washes those tire wear particles into ditches, where they flow into streams, lakes, rivers and oceans...
In a recent study, we tested pine wood chips and biochar – a form or charcoal made from heating rice husks in a limited oxygen chamber, a process known as pyrolysis – and found they could remove approximately 90% of tire wear …

One of the biggest microplastic pollution sources isn’t straws or grocery bags – it’s your tires
Rain storms wash those tire shards into streams and ultimately into lakes and oceans. That’s bad news for fish and other aquatic life.

Studentenvisum für die #USA ? Geh' zur Botschaft und bring' Dein digitales Leben mit: "Under the screening process, consular officers would examine applicants’ posts, shares, and comments across platforms such as Instagram, X, and TikTok for content they deem to be threatening to national security, ..."

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/5]:
- Genetic Algorithm with Innovative Chromosome Patterns in the Breeding Process
Qingchuan Lyu

Alibaba unveils text-to-image and image-to-image generation model Qwen VLo, with progressive generation tech, which shows the image creation process (Luz Ding/Bloomberg)
https://www.bloomberg.com/news/articles/2025-…

Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics
Hsin-Hsiung Huang, Hayden Hampton
https://arxiv.org/abs/2506.20935

Forecasting Geopolitical Events with a Sparse Temporal Fusion Transformer and Gaussian Process Hybrid: A Case Study in Middle Eastern and U.S. Conflict Dynamics
Forecasting geopolitical conflict from data sources like the Global Database of Events, Language, and Tone (GDELT) is a critical challenge for national security. The inherent sparsity, burstiness, and overdispersion of such data cause standard deep learning models, including the Temporal Fusion Transformer (TFT), to produce unreliable long-horizon predictions. We introduce STFT-VNNGP, a hybrid architecture that won the 2023 Algorithms for Threat Detection (ATD) competition by overcoming these l…

Alpay Algebra III: Observer-Coupled Collapse and the Temporal Drift of Identity
Faruk Alpay
https://arxiv.org/abs/2505.19790 https://…

Alpay Algebra III: Observer-Coupled Collapse and the Temporal Drift of Identity
This paper introduces a formal framework for modeling observer-dependent collapse dynamics and temporal identity drift within artificial and mathematical systems, grounded entirely in the symbolic foundations of Alpay Algebra. Building upon the fixed-point emergence structures developed in Alpay Algebra I and II, this third installment formalizes the observer-coupled ϕ-collapse process through transfinite categorical flows and curvature-driven identity operators. We define a novel temporal dri…

Model-Based Real-Time Pose and Sag Estimation of Overhead Power Lines Using LiDAR for Drone Inspection
Alexandre Girard, Steven A. Parkison, Philippe Hamelin
https://arxiv.org/abs/2506.20812

Model-Based Real-Time Pose and Sag Estimation of Overhead Power Lines Using LiDAR for Drone Inspection
Drones can inspect overhead power lines while they remain energized, significantly simplifying the inspection process. However, localizing a drone relative to all conductors using an onboard LiDAR sensor presents several challenges: (1) conductors provide minimal surface for LiDAR beams limiting the number of conductor points in a scan, (2) not all conductors are consistently detected, and (3) distinguishing LiDAR points corresponding to conductors from other objects, such as trees and pylons, …

Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
Antonio Tudisco, Deborah Volpe, Giacomo Orlandi, Giovanna Turvani
https://arxiv.org/abs/2507.19093 ht…

Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
The growing variety of quantum hardware technologies, each with unique peculiarities such as connectivity and native gate sets, creates challenges when selecting the best platform for executing a specific quantum circuit. This selection process usually involves a brute-force approach: compiling the circuit on various devices and evaluating performance based on factors such as circuit depth and gate fidelity. However, this method is computationally expensive and does not scale well as the number…

Exploring the Use of LLMs for Requirements Specification in an IT Consulting Company
Liliana Pasquale, Azzurra Ragone, Emanuele Piemontese, Armin Amiri Darban
https://arxiv.org/abs/2507.19113

Exploring the Use of LLMs for Requirements Specification in an IT Consulting Company
In practice, requirements specification remains a critical challenge. The knowledge necessary to generate a specification can often be fragmented across diverse sources (e.g., meeting minutes, emails, and high-level product descriptions), making the process cumbersome and time-consuming. In this paper, we report our experience using large language models (LLMs) in an IT consulting company to automate the requirements specification process. In this company, requirements are specified using a Fun…

MHD simulation of tilt instability during the dynamic FRC magnetic compression process
Yiming Ma, Ping Zhu, Bo Rao, Haolong Li
https://arxiv.org/abs/2506.20443

MHD simulation of tilt instability during the dynamic FRC magnetic compression process
The nonlinear evolution of the tilt instability in a field reversed configuration (FRC) during the dynamic magnetic compression process has been investigated using magnetohydrodynamic (MHD) simulations with the NIMROD code [C. R. Sovinec \textit{et al.}, J. Comput. Phys. \textbf{195}, 355 (2004)]. The tilt mode induces significant deformations in the linear growth phase and results in complete confinement loss of the FRC in the nonlinear phase, with no evidence of dynamic nonlinear stabilizatio…

US kicks off $151bn procurement process for Trump's 'Golden Dome' (Joe Miller/Financial Times)
https://www.ft.com/content/b8cbefc9-9e68-4ba9-a621-667024481a5b
http://www.memeorandum.com/250725/p114#a250725p114

An Attack on the Medical Establishment Buried in an 1,800-Page Regulation
If approved, a new rule could end the entrenched pay advantages for specialists like surgeons over other doctors.
An A.M.A. committee determines the difficulty and time demands of each type of medical visit, test and procedure -- and then recommends to Medicare how much doctors should be paid for performing them.
For decades, critics have complained that this process unfairly rewards surgeons and othe…

An Attack on the Medical Establishment Buried in an 1,800-Page Regulation
If approved, a new rule could end the entrenched pay advantages for specialists like surgeons over other doctors.

Scalable GPU Performance Variability Analysis framework
Ankur Lahiry, Ayush Pokharel, Seth Ockerman, Amal Gueroudji, Line Pouchard, Tanzima Z. Islam
https://arxiv.org/abs/2506.20674

Scalable GPU Performance Variability Analysis framework
Analyzing large-scale performance logs from GPU profilers often requires terabytes of memory and hours of runtime, even for basic summaries. These constraints prevent timely insight and hinder the integration of performance analytics into automated workflows. Existing analysis tools typically process data sequentially, making them ill-suited for HPC workflows with growing trace complexity and volume. We introduce a distributed data analysis framework that scales with dataset size and compute av…

Introduction to the Cohomology of the Flag Variety
Sara C. Billey, Yibo Gao, Brendan Pawlowski
https://arxiv.org/abs/2506.21064 https://

Introduction to the Cohomology of the Flag Variety
One hundred years ago, Hilbert gave a list of important open problems in mathematics. His 15th problem asked for the development of a rigorous calculus explaining Schubert's enumerative results for intersecting varieties defined by rank conditions on vector spaces. Today by way of many contributions in algebraic topology, geometry, and combinatorics, we consider this solved. Yet, deep questions remain about the subtleties of actually carrying out the process. In this chapter, we hope to summari…

Exploring Adapter Design Tradeoffs for Low Resource Music Generation
Atharva Mehta, Shivam Chauhan, Monojit Choudhury
https://arxiv.org/abs/2506.21298 http…

Exploring Adapter Design Tradeoffs for Low Resource Music Generation
Fine-tuning large-scale music generation models, such as MusicGen and Mustango, is a computationally expensive process, often requiring updates to billions of parameters and, therefore, significant hardware resources. Parameter-Efficient Fine-Tuning (PEFT) techniques, particularly adapter-based methods, have emerged as a promising alternative, enabling adaptation with minimal trainable parameters while preserving model performance. However, the design choices for adapters, including their archi…

Truncated Gaussian Noise Estimation in State-Space Models
Rodrigo A. Gonz\'alez, Angel L. Cede\~no, Koen Tiels, Tom Oomen
https://arxiv.org/abs/2507.19244 https://

Truncated Gaussian Noise Estimation in State-Space Models
Within Bayesian state estimation, considerable effort has been devoted to incorporating constraints into state estimation for process optimization, state monitoring, fault detection and control. Nonetheless, in the domain of state-space system identification, the prevalent practice entails constructing models under Gaussian noise assumptions, which can lead to inaccuracies when the noise follows bounded distributions. With the aim of generalizing the Gaussian noise assumption to potentially tru…

Another bullet dodged accidentally…
In this case, the real reason I didn’t recommend 1P for my employer was that I had experienced their enshittification process as an individual user and wasn’t sure how far they might go with a corporate customer.
(I also saw no need for an “enterprise” solution for us at that point and that turned out right.)

At 4 hours I left #ubuntu installer running and went to bed. This morning, at 16 hours, I killed the process. Trying again without entering the Live desktop but I do so WISH the devs had left SOME means to know why and where it fails.
This is why when folks ask me to help with their Windows machine, I gracefully decline.

Great read by Sarahanne Field and Madeleine Pownall:
Subjectivity is a Feature, not a Flaw: A Call to Unsilence the Human Element in Science
#OpenScience includes practices such as #reflexivity in order to increase the transparancy of the research process.

"I'm done. No functionality was lost in the process."

@… I think if I started the process over again with what I know now I probably would have used one of those! I would probably even recommend other folks use those instead too.
Even more so when tree shaking lands in that smaller polyfill too:

This https://arxiv.org/abs/2410.09516 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCE_…

Bridging the Gap Between Data-Driven And Theory-Driven Modelling - Leveraging Causal Machine Learning for Integrative Modelling of Dynamical Systems
Classical machine learning techniques often struggle with overfitting and unreliable predictions when exposed to novel conditions. Introducing causality into the modelling process offers a promising way to mitigate these challenges by enhancing predictive robustness. However, constructing an initial causal graph manually using domain knowledge is time-consuming, particularly in complex time series with numerous variables. To address this, causal discovery algorithms can provide a preliminary ca…

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
Adrian Padilla-Segarra, Pascal Noble, Olivier Roustant, \'Eric Savin
https://arxiv.org/abs/2507.17582

Physics-informed, boundary-constrained Gaussian process regression for the reconstruction of fluid flow fields
Gaussian process regression techniques have been used in fluid mechanics for the reconstruction of flow fields from a reduction-of-dimension perspective. A main ingredient in this setting is the construction of adapted covariance functions, or kernels, to obtain such estimates. In this paper, we derive physics-informed kernels for simulating two-dimensional velocity fields of an incompressible (divergence-free) flow around aerodynamic profiles. These kernels allow to define Gaussian process pri…

This https://arxiv.org/abs/2505.04411 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Turbulence spreading and anomalous diffusion on combs
This paper presents a simple model for such processes as chaos spreading or turbulence spillover into stable regions. In this simple model the essential transport occurs via inelastic resonant interactions of waves on a lattice. The process is shown to result universally in a subdiffusive spreading of the wave field. The dispersion of this spreading process is found to depend exclusively on the type of the interaction process (three- or four-wave), but not on a particular instability behind. Th…

What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models
Alexis Brissard, Fr\'ed\'eric Cuppens, Amal Zouaq
https://arxiv.org/abs/2507.11356

What is the Best Process Model Representation? A Comparative Analysis for Process Modeling with Large Language Models
Large Language Models (LLMs) are increasingly applied for Process Modeling (PMo) tasks such as Process Model Generation (PMG). To support these tasks, researchers have introduced a variety of Process Model Representations (PMRs) that serve as model abstractions or generation targets. However, these PMRs differ widely in structure, complexity, and usability, and have never been systematically compared. Moreover, recent PMG approaches rely on distinct evaluation strategies and generation techniqu…

Changing disc compositions via internal photoevaporation II: M dwarf systems
Julia Lena Lienert, Bertram Bitsch, Thomas Henning
https://arxiv.org/abs/2505.21470

Changing disc compositions via internal photoevaporation II: M dwarf systems
The chemical evolution of the inner regions of protoplanetary discs is a complex process. Several factors influence it, one being the inward drift and evaporation of volatile-rich pebbles. During the disc's evolution, its inner part is first enriched with evaporating water-ice, resulting in a low C/O ratio. Afterwards, C-rich gas from the outer disc is transported inwards. Consequently, the C/O ratio of the inner disc increases again after 2 Myr. Previously, we studied how internal photoevapora…

#WordWeavers 27 May
Do you specifically design your characters, or do they develop as you write?
I begin with a core, things happens that change that core. Like rolling a snowball in the snow. It grows, gets layered. I apply some pressure, see what happens.
It's a growing process mostly. I almost never begin writing at the beginning, but at a point earlier, so that i can hit…

The Las Vegas Raiders Are Trusting the Process https://www.si.com/nfl/raiders/news/las-vegas-training-camp-pete-carroll-geno-smith-nfl

This https://arxiv.org/abs/2411.08988 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Single-File Diffusion of Active Brownian Particles
Single-file diffusion (SFD) is a key mechanism underlying transport phenomena in confined physical and biological systems. In a typical SFD process, microscopic particles are restricted to moving in a narrow channel where they cannot pass one another, resulting in constrained motion and anomalous long-time diffusion. In this study, we use Brownian dynamics simulations and analytical theory to investigate the SFD of athermal active Brownian particles (ABPs), a minimal model of active colloids. B…

"UK ministers reopen door to drilling at two North Sea oilfields as new guidance released"
#UK #UnitedKingdom #NorthSea

This https://arxiv.org/abs/2504.16152 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Heterogeneous networks in drug-target interaction prediction
Drug discovery requires a tremendous amount of time and cost. Computational drug-target interaction prediction, a significant part of this process, can reduce these requirements by narrowing the search space for wet lab experiments. In this survey, we provide comprehensive details of graph machine learning-based methods in predicting drug-target interaction, as they have shown promising results in this field. These details include the overall framework, main contribution, datasets, and their so…

Homogenization of Multi-agent Learning Dynamics in Finite-state Markov Games
Yann Kerzreho (ENS Paris Saclay)
https://arxiv.org/abs/2506.21079 https://

Homogenization of Multi-agent Learning Dynamics in Finite-state Markov Games
This paper introduces a new approach for approximating the learning dynamics of multiple reinforcement learning (RL) agents interacting in a finite-state Markov game. The idea is to rescale the learning process by simultaneously reducing the learning rate and increasing the update frequency, effectively treating the agent's parameters as a slow-evolving variable influenced by the fast-mixing game state. Under mild assumptions-ergodicity of the state process and continuity of the updates-we prov…

Modulus of continuity for solutions of non-local heat equations
Ben Andrews, Sophie Chen
https://arxiv.org/abs/2507.19023 https://arxiv.org/pdf/2507.19023

Modulus of continuity for solutions of non-local heat equations
We extend the method of modulus of continuity for solutions of parabolic equations--as used, for instance, to prove the Fundamental Gap Conjecture--to solutions of non-local heat equations on R^n and in dimension one with a non-local Neumann boundary condition. Specifically, we show that if a solution of a non-local heat equation has an initial modulus of continuity satisfying simple criteria, then this modulus of continuity is preserved at all subsequent times. In the process of trying to gene…

It’s always fun to get a reverse 🌈 in #Connections, but I admit I solved blue today only by process of elimination. (And I say this as someone who has two of the four myself!)
#Connections714
Puzzle № 714
🟪🟪🟪🟪
🟦🟦🟦🟦
🟩🟩🟩🟩
🟨🟨🟨🟨

Searching for a Hidden Markov Anomaly over Multiple Processes
Levli Citron, Kobi Cohen, Qing Zhao
https://arxiv.org/abs/2506.17108 https://

Searching for a Hidden Markov Anomaly over Multiple Processes
We address the problem of detecting an anomalous process among a large number of processes. At each time t, normal processes are in state zero (normal state), while the abnormal process may be in either state zero (normal state) or state one (abnormal state), with the states being hidden. The transition between states for the abnormal process is governed by a Markov chain over time. At each time step, observations can be drawn from a selected subset of processes. Each probed process generates a…

The Urn of Hill, Lane and Sudderth
Simone Franchini
https://arxiv.org/abs/2506.20826 https://arxiv.org/pdf/2506.20826

The Urn of Hill, Lane and Sudderth
We review some facts, properties and applications of the urn of Hill, Lane and Sudderth, a paradigmatic model of stochastic process with memory, where the urn evolution is as follows: consider an urn of given capacity, at each step a new ball, black or white, is added to the urn with probability that is function (urn function) of the fraction of black balls. The process runs until capacity is reached.

An Anarchist Approach to the Undergraduate Mathematics Curriculum
Asia Matthews, Vincent Bouchard
https://arxiv.org/abs/2505.18811 https://

An Anarchist Approach to the Undergraduate Mathematics Curriculum
Contemporary anarchism centers around three tenets: (1) a constant challenge of and resistance to all forms of domination, (2) so-called "prefigurative politics", in which all decisions are made in a manner that is consistent with a set of non-hierarchical values such as equality, decentralization and voluntary cooperation, (3) a focus on diversity and open-endedness (Gordon, 2008). Within this philosophy the notion of end goals becomes moot; progress, then, is measured by process, in which the…

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
Yitong Quan, Benjamin Kiefer, Martin Messmer, Andreas Zell
https://arxiv.org/abs/2506.20550

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
Modern image-based object detection models, such as YOLOv7, primarily process individual frames independently, thus ignoring valuable temporal context naturally present in videos. Meanwhile, existing video-based detection methods often introduce complex temporal modules, significantly increasing model size and computational complexity. In practical applications such as surveillance and autonomous driving, transient challenges including motion blur, occlusions, and abrupt appearance changes can …

Musician Demian Licht on learning to go with the flow
https://thecreativeindependent.com/people/musician-demian-licht-on-learning-to…

Musician Demian Licht on learning to go with the flow – The Creative Independent
Musician Demian Licht discusses the feminine energy she's inspired by, teaching Ableton as a woman in Latin America, and identifying as an outsider in the music scene.

Rethinking Dataset Discovery with DataScout
Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran
https://arxiv.org/abs/2507.18971 htt…

Rethinking Dataset Discovery with DataScout
Dataset Search -- the process of finding appropriate datasets for a given task -- remains a critical yet under-explored challenge in data science workflows. Assessing dataset suitability for a task (e.g., training a classification model) is a multi-pronged affair that involves understanding: data characteristics (e.g. granularity, attributes, size), semantics (e.g., data semantics, creation goals), and relevance to the task at hand. Present-day dataset search interfaces are restrictive -- users…

A Fast and Light-weight Non-Iterative Visual Odometry with RGB-D Cameras
Zheng Yang, Kuan Xu, Shenghai Yuan, Lihua Xie
https://arxiv.org/abs/2507.18886 https://

A Fast and Light-weight Non-Iterative Visual Odometry with RGB-D Cameras
In this paper, we introduce a novel approach for efficiently estimating the 6-Degree-of-Freedom (DoF) robot pose with a decoupled, non-iterative method that capitalizes on overlapping planar elements. Conventional RGB-D visual odometry(RGBD-VO) often relies on iterative optimization solvers to estimate pose and involves a process of feature extraction and matching. This results in significant computational burden and time delays. To address this, our innovative method for RGBD-VO separates the …

PGKET: A Photonic Gaussian Kernel Enhanced Transformer
Ren-Xin Zhao
https://arxiv.org/abs/2507.19041 https://arxiv.org/pdf/2507.19041

PGKET: A Photonic Gaussian Kernel Enhanced Transformer
Self-Attention Mechanisms (SAMs) enhance model performance by extracting key information but are inefficient when dealing with long sequences. To this end, a photonic Gaussian Kernel Enhanced Transformer (PGKET) is proposed, based on the Photonic Gaussian Kernel Self-Attention Mechanism (PGKSAM). The PGKSAM calculates the Photonic Gaussian Kernel Self-Attention Score (PGKSAS) using photon interferometry and superposition to process multiple inputs in parallel. Experimental results show that PGK…

Singer-songwriter Nemahsis on the importance of being uncompromising
https://thecreativeindependent.com/people/singer…

Singer-songwriter Nemahsis on the importance of being uncompromising – The Creative Independent
Singer-songwriter Nemahsis discusses breaking through despite hardships, freedom of expression, and the power of building a genuine community online

ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability
Xiangwen Wang, Gaojie Jin, Xiaowei Huang, Ronghui Mu
https://arxiv.org/abs/2507.18816

ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability
Designing mutations to optimize protein thermostability remains challenging due to the complex relationship between sequence variations, structural dynamics, and thermostability, often assessed by δδG (the change in free energy of unfolding). Existing methods rely on experimental random mutagenesis or prediction models tested with pre-defined datasets, using sequence-based heuristics and treating enzyme design as a one-step process without iterative refinement, which limits design space exp…

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
Karina Gelis-Cadena, Michael Daniels, Juned Siddique
https://arxiv.org/abs/2506.20860

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
We address causal estimation in semi-competing risks settings, where a non-terminal event may be precluded by one or more terminal events. We define a principal-stratification causal estimand for treatment effects on the non-terminal event, conditional on surviving past a specified landmark time. To estimate joint event-time distributions, we employ both vine-copula constructions and Bayesian nonparametric Enriched Dirichlet-process mixtures (EDPM), enabling inference under minimal parametric a…

This https://arxiv.org/abs/2505.20103 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
Citations are crucial in scientific research articles as they highlight the connection between the current study and prior work. However, this process is often time-consuming for researchers. In this study, we propose the SciRGC framework, which aims to automatically recommend citation articles and generate citation sentences for citation locations within articles. The framework addresses two key challenges in academic citation generation: 1) how to accurately identify the author's citation int…

The Las Vegas Raiders Are Trusting the Process https://www.si.com/nfl/raiders/news/las-vegas-training-camp-pete-carroll-geno-smith-nfl

Trump and his team are proclaiming that President Barack Obama and his team torqued the intelligence analysis process to deliberately discreditTrump’s 2016 election.
The administration has coupled that case with overheated and attention-grabbing claims.
Trump has accused Obama of treason,
and his top officials have made criminal referrals about national security officials under Obama
— all as the administration is trying to distract supporters who are angry about it…

New Reports on Russian Interference Show Trump’s Claims on Obama Are Overblown
The administration’s claims are overblown, but newly declassified information provides some messy details about a January 2017 intelligence assessment of Moscow’s election interference.

Solute Segregation Activates Unconventional Grain Boundary Disconnections
Zuoyong Zhang, Chuang Deng
https://arxiv.org/abs/2507.19429 https://arxiv.org/pdf…

Solute Segregation Activates Unconventional Grain Boundary Disconnections
Disconnections, now recognized as key mediators of grain boundary (GB) kinetics in polycrystals, have traditionally been associated with thermal or mechanical activation. Here, using atomistic simulations across multiple binary alloys (Al-Ni, Al-Fe, etc.), we reveal a distinct disconnection formation mechanism solely activated by interstitial solute segregation. This process exhibits a zero-nucleation energy barrier, contrasting sharply with conventional disconnection nucleation. We identify tw…

A fun one for bike & illustration nerds…
➡️ #biking

Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance
Kyanna Dagenais, Istvan David
https://arxiv.org/abs/2506.20883 https:…

Complex Model Transformations by Reinforcement Learning with Uncertain Human Guidance
Model-driven engineering problems often require complex model transformations (MTs), i.e., MTs that are chained in extensive sequences. Pertinent examples of such problems include model synchronization, automated model repair, and design space exploration. Manually developing complex MTs is an error-prone and often infeasible process. Reinforcement learning (RL) is an apt way to alleviate these issues. In RL, an autonomous agent explores the state space through trial and error to identify benef…

Real-time Terrain Analysis for Off-road Autonomous Vehicles
Edwina Lewis, Aditya Parameshwaran, Laura Redmond, Yue Wang
https://arxiv.org/abs/2506.21347 ht…

Real-time Terrain Analysis for Off-road Autonomous Vehicles
This research addresses critical autonomous vehicle control challenges arising from road roughness variation, which induces course deviations and potential loss of road contact during steering operations. We present a novel real-time road roughness estimation system employing Bayesian calibration methodology that processes axle accelerations to predict terrain roughness with quantifiable confidence measures. The technical framework integrates a Gaussian process surrogate model with a simulated …

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Lillian Asiala, James E. McCarthy
https://arxiv.org/abs/2507.18878

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Sonalysts, Inc. (Sonalysts) is working on an initiative to expand our expertise in teaming to include Human-Artificial Intelligence (AI) teams. The first step of this process is to develop a Synthetic Task Environment (STE) to support our original research. Prior knowledge elicitation efforts within the Human-AI teaming research stakeholder community revealed a desire to support data collection using pre- and post-performance surveys. In this technical report, we review a number of constructs t…

Video Perception Models for 3D Scene Synthesis
Rui Huang, Guangyao Zhai, Zuria Bauer, Marc Pollefeys, Federico Tombari, Leonidas Guibas, Gao Huang, Francis Engelmann
https://arxiv.org/abs/2506.20601

Video Perception Models for 3D Scene Synthesis
Traditionally, 3D scene synthesis requires expert knowledge and significant manual effort. Automating this process could greatly benefit fields such as architectural design, robotics simulation, virtual reality, and gaming. Recent approaches to 3D scene synthesis often rely on the commonsense reasoning of large language models (LLMs) or strong visual priors of modern image generation models. However, current LLMs demonstrate limited 3D spatial reasoning ability, which restricts their ability to…

Sprinkled Decoupling for Hammersley's Process
Leandro P. R. Pimentel, Roberto Viveros
https://arxiv.org/abs/2506.19008 https://ar…

Sprinkled Decoupling for Hammersley's Process
In this article we prove a sprinkled decoupling inequality for the stationary Hammersley's interacting particle process. Inspired by the work of Baldasso and Texeira (2018), and Hilário, Kious and Texeira (2020), we apply this inequality to study two distinct problems on the top of this particle process. First, we analyze a detection problem, demonstrating that a fugitive can evade particles, provided that their jump range is sufficiently large. Second, we show that a random walk in a dynamic …

Hanging In There #CreativeProcess https://muz4now.com/2019/hanging-in-there-creative-process/

Hanging In There #CreativeProcess
Stan Stewart - @muz4now

Intel says it may exit cutting-edge manufacturing if it can't secure customers for its 14A process, a major shift for the long-time steward of Moore's Law (Reuters)
https://www.reuters.com/world/asia-pacific

Learning graphons from data: Random walks, transfer operators, and spectral clustering
Stefan Klus, Jason J. Bramburger
https://arxiv.org/abs/2507.18147 https://

Learning graphons from data: Random walks, transfer operators, and spectral clustering
Many signals evolve in time as a stochastic process, randomly switching between states over discretely sampled time points. Here we make an explicit link between the underlying stochastic process of a signal that can take on a bounded continuum of values and a random walk process on a graphon. Graphons are infinite-dimensional objects that represent the limit of convergent sequences of graphs whose size tends to infinity. We introduce transfer operators, such as the Koopman and Perron--Frobeniu…

SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
Xiangyu Li, Jingqiang Chen
https://arxiv.org/abs/2505.20103 ht…

SCIRGC: Multi-Granularity Citation Recommendation and Citation Sentence Preference Alignment
Citations are crucial in scientific research articles as they highlight the connection between the current study and prior work. However, this process is often time-consuming for researchers. In this study, we propose the SciRGC framework, which aims to automatically recommend citation articles and generate citation sentences for citation locations within articles. The framework addresses two key challenges in academic citation generation: 1) how to accurately identify the author's citation int…

An object-centric core metamodel for IoT-enhanced event logs
Yannis Bertrand, Christian Imenkamp, Lukas Malburg, Matthias Ehrendorfer, Marco Franceschetti, Joscha Gr\"uger, Francesco Leotta, J\"urgen Mangler, Ronny Seiger, Agnes Koschmider, Stefanie Rinderle-Ma, Barbara Weber, Estefania Serral
https://arxiv.org/abs/250…

An object-centric core metamodel for IoT-enhanced event logs
Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation of IoT devices leads to the generation of large amounts of IoT data providing a window on the physical context of BPs, which facilitates the discovery of new insights about BPs using process mining (PM) techniques. However, to achieve these benefits, IoT dat…

Refining Participatory Design for AAC Users
Blade Frisch, Keith Vertanen
https://arxiv.org/abs/2506.19995 https://arxiv.org/pdf/2506.…

Refining Participatory Design for AAC Users
Augmentative and alternative communication (AAC) is a field of research and practice that works with people who have a communication disability. One form AAC can take is a high-tech tool, such as a software-based communication system. Like all user interfaces, these systems must be designed and it is critical to include AAC users in the design process for their systems. A participatory design approach can include AAC users in the design process, but modifications may be necessary to make these …

Columbia University trustees removed control of the student disciplinary process from the University Senate,
with the trustees taking control themselves of the process through the provost’s office.
The intent was to make sure that any student guilty of violating university regulations during an anti-genocide protest would be severely punished.
One goal is to make sure that students engaged in such protest are removed from the university and can’t do it again.
Anot…

The Situation at Columbia XVIII
When I first started writing here about what was going on at Columbia, part of the motivation was that I didn’t understand myself a lot of what was happening, especially the actions of the tr…

Metaview, which builds AI tools to automate hiring, including interview note-taking and generating job descriptions, raised a $35M Series B led by GV (Beatrice Nolan/Fortune)
https://fortune.com/2025/06/25/uber-palantir-alums…

Exclusive: Uber and Palantir alums raise $35M to disrupt corporate recruitment with AI
Metaview’s full suite of AI tools aims to streamline and enhance every stage of the hiring process.

Comment on "Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge"
John M. Herbert
https://arxiv.org/abs/2505.18196

Comment on "Politicizing science funding undermines public trust in science, academic freedom, and the unbiased generation of knowledge"
In a commentary published in mid-2024 (to which the present work is a direct response), a number of scientists argue that U.S. funding agencies have "politicized" the process by which grants are awarded, in service of diversifying the scientific workforce. The commentary in question, however, makes numerous unfounded assertions while recycling citations to a fusillade of opinion essays written by the same cabal of authors, in an effort to resemble a work of serious scholarship. Basic fact-check…

The extinction of the contact process in a one-dimensional random environment with long-range interactions
Pablo A. Gomes, Marcelo R. Hil\'ario, Bernardo N. B. de Lima, Thomas Mountford
https://arxiv.org/abs/2506.17444

The extinction of the contact process in a one-dimensional random environment with long-range interactions
We study the contact process on the long-range percolation cluster on $\mathbb{Z}$ where each edge $\langle i,j \rangle$ is open with probability $|i-j|^{-s}$ for $s> 2$. Using a renormalization procedure we apply Peierls-type argument to prove that the contact process dies out if the transmission rate is smaller than a critical threshold. Our methods involve the control of crossing probabilities for percolation on randomly-stretched lattices as in https://doi.org/10.1214/22-AAP1887.

How Software Engineers Engage with AI: A Pragmatic Process Model and Decision Framework Grounded in Industry Observations
Vahid Garousi, Zafar Jafarov
https://arxiv.org/abs/2507.17930

How Software Engineers Engage with AI: A Pragmatic Process Model and Decision Framework Grounded in Industry Observations
Artificial Intelligence (AI) has the potential to transform Software Engineering (SE) by enhancing productivity, efficiency, and decision support. Tools like GitHub Copilot and ChatGPT have given rise to "vibe coding"-an exploratory, prompt-driven development style. Yet, how software engineers engage with these tools in daily tasks, especially in deciding whether to trust, refine, or reject AI-generated outputs, remains underexplored. This paper presents two complementary contributions. First, …

Automatic Reviewers Assignment to a Research Paper Based on Allied References and Publications Weight
Tamim Al Mahmud, B M Mainul Hossain, Dilshad Ara
https://arxiv.org/abs/2506.21331

Automatic Reviewers Assignment to a Research Paper Based on Allied References and Publications Weight
Everyday, a vast stream of research documents is submitted to conferences, anthologies, journals, newsletters, annual reports, daily papers, and various periodicals. Many such publications use independent external specialists to review submissions. This process is called peer review, and the reviewers are called referees. However, it is not always possible to pick the best referee for reviewing. Moreover, new research fields are emerging in every sector, and the number of research papers is inc…

Quick Creative Process: The Long and the Short of It
#creativity #CreativeProcess
https://muz4now.c…

Quick Creative Process: The Long and the Short of It
Stan Stewart - @muz4now

This is the best opportunity to dial back the influences of out-of-touch billionaires and corporations.
When our plan works,
Montana will be the blueprint for combatting corporate greed in every state’s elections
— and it all starts with our ballot initiative process.
We are going straight to the people with a constitutional initiative on our 2026 ballot.
Right now, we’re hammering out the final wording of the initiative. Next, it will go to the Secretary of Sta…

Donate to Transparent Election Initiative
Show your support with a contribution.

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
Shahbaz Siddeeq, Muhammad Waseem, Zeeshan Rasheed, Md Mahade Hasan, Jussi Rasku, Mika Saari, Henri Terho, Kalle Makela, Kai-Kristian Kemell, Pekka Abrahamsson
https://arxiv.org/abs/2506.19481

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
Refactoring is a constant activity in software development and maintenance. Scale and maintain software systems are based on code refactoring. However, this process is still labor intensive, as it requires programmers to analyze the codebases in detail to avoid introducing new defects. In this research, we put forward a large language model (LLM)-based multi-agent system to automate the refactoring process on Haskell code. The objective of this research is to evaluate the effect of LLM-based ag…