Tootfinder

So my car has been complaining I should put some exhaust emissions neutralizing fluid in it. A thing they call AdBlue I believe.
Bought a big 10l drum of the stuff ready to fill up.
But when I look at where I expect to find the hole for filling it, I just find a capped off tube and a warning sticker "See the GM Citreon Berlingo Blaze manual" for the adblue refilling hole.
Only user manual I have is the one telling me to expect it there.
The car was converted for wheelchair access at some point in its life. I think they are referring to the wheelchair-adaption manual, which the seller did not give me.
🤔
Have been looking around the car as much as I can for a couple of hours this morning to no avail. Where have they hidden this hole to fill up adblue?
Maybe it's under the engine or something now and you have to put the thing on stilts to find it?
🤷
Asked my mechanic about it and he says to bring it in on Monday. Gonna be a pain if I have to rip up the floorboards or something every year to refill that.
#mechanic #car #diesel

A cyberattack targeting check-in and boarding systems disrupted air traffic and caused delays at several of Europe’s major airports on Saturday.
While the impact on travelers appeared to be limited,
experts said the intrusion exposed vulnerabilities in security systems.
The disruptions to electronic systems initially reported at Brussels, Berlin’s Brandenburg and London’s Heathrow airports
meant that only manual check-in and boarding was possible.
Many other Eur…

Cyberattack disrupts check-in systems at Europe's major airports
A cyberattack targeting check-in and boarding systems has disrupted air traffic at several major European airports. On Friday night, the attack hit a service provider affecting airports like Brussels and Berlin's Brandenburg. Brussels Airport says the incident has forced manual check-ins, causing significant delays. Berlin's airport operators cut off connections to the affected systems. London Heathrow, Europe's busiest airport, reports a technical issue with a service provider. Collins Aerospa…

Stuut, which connects to CRM and other systems to automate management of accounts receivable, raised a $29.5M Series A led by a16z (Charlie Fink/Forbes)
https://www.forbes.com/sites/charliefink/2025…

Stuut Raises $29.5 Million From Andreessen To To Fix Corporate Finance’s Most Thankless Job
Here are 170 characters, clean, neutral, and factual, no banned language: Stuut raises 28 million from Andreessen Horowitz to automate the tedious accounts receivable work that slows corporate cash flow, targeting overdue balances and manual tasks.

New project post: AnotterKiosk
AnotterKiosk is another full-page web-browser OS for Pi's and other PCs, displays a webpage in full screen 24/7.
It has support for multi-touch input, a watchdog/heartbeat feature, local webserver, fully read-only root FS (won't kill SD cards, ever!), manual EDID overrides, configurable caching, reverse SSH tunnel support...
Can be used for signs, conference info screens, dashboards, home automation, etc.

There's a Ghidra pull request to add hd6303/6301 - this is looking much better for doing Epson HX-20 stuff;
Copy the Processors/MC6800/data/languages/*6303* into a standard Ghidra world and run 'ant' in the data directory, restart - and it works!
https://github.com/NationalSecurityA…

Add support for HD6301 and HD6303 microcontrollers by depili · Pull Request #6314 · NationalSecurityAgency/ghidra
HD6303 is a Hitachi clone of 6803. This implementation has been done based on the Hitachi HD6301V1/HD6303R User's Manual. The ISA differs from 6805 and 6809. The flags are implemented as pseudo...

"Thermostats are still sending Google information about manual temperature changes, whether a person is present in the room, if sunlight is hitting the device, and more"
Google Is Collecting Troves of Data From Downgraded Nest Thermostats - Slashdot
https://tech.slashdot.org/story/25/11/17/225229/google-is-collecting-troves-of-data-from-downgraded-nest-thermostats?utm_source=rss1.0mainlinkanon&utm_medium=feed

Me and my new #yubikey5 part 2:
Now we get to the nitty-gritty parts. I'm using #mbsync to sync multiple #imap accounts to local

volume 2 of the 7th edition of the unix documentation has the long-form tutorial and reference material (vol 1 has the man pages)
the table of contents lists each paper with its title, author(s), and a brief blurb
for instance
UNIX Assembler Reference Manual.
D. M. Ritchie.
The ultimate dead language.

A recurring issue:
Source of Truth vs Point of Truth with many-system setups.
Imagine having separate
- issue tracking (e.g. JIRA)
- time tracking (e.g. Toggl)
- development tracking (e.g. GitLab)
- daily team sync (e.g. Confluence)
- weekly sync with stakeholders (...)
Without diligent manual labor or a lot of handcrafted automation, those keep getting out of sync.

(Chinese) 学习从听去看 - The vOICe 培训手册 https://www.seeingwithsound.cn/manual/The_vOICe_培训手册_cn.htm

@… loosely speaking, NomadBSD comes closest to the ideal of a single installation of FreeBSD that does not require manual reconfiguration to work with diverse hardware.
<https://nomadbsd.org/<…

did you know bash has builtin gettext support? i sure didn't https://www.gnu.org/software/bash/manual/html_node/Locale-Translation.html

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations
Hui Wang, Jiaming Zhou, Jiabei He, Haoqin Sun, Yong Qin
https://arxiv.org/abs/2510.09344

WildElder: A Chinese Elderly Speech Dataset from the Wild with Fine-Grained Manual Annotations
Elderly speech poses unique challenges for automatic processing due to age-related changes such as slower articulation and vocal tremors. Existing Chinese datasets are mostly recorded in controlled environments, limiting their diversity and real-world applicability. To address this gap, we present WildElder, a Mandarin elderly speech corpus collected from online videos and enriched with fine-grained manual annotations, including transcription, speaker age, gender, and accent strength. Combining…

May Euell Gibbons eat your only copy of the manual!

4 updates to old posts this week:
1. Embeds Beau Vass’s id24 video:
https://adrianroselli.com/2023/01/comparing-manual-and-free-automated-wcag-reviews.html#Update07
2. Embeds Lola Odelola’s id24 video:

Comparing Manual and Free Automated WCAG Reviews
Automated accessibility testing tools cannot test 100% of WCAG. This position is not controversial. Other than overlay vendors, no automated tool maker makes that claim. This is partly because WCAG is targeted at humans, not code, and so nuance and context apply. Free automated accessibility testing tools may have even…

Extract tables from pdfs with {tabulapdf} #rstats #datasciece

Yeah, so the GNU #make jobserver protocol is trivial, which can be a blessing and a curse. It puts the job management entirely on the clients, which means that they must reliably return job tokens, or otherwise the jobserver will be left with no jobs available and everything will hang. The make documentation is clear on this:
> Your tool should be sure to write back the tokens it read, even under error conditions. This includes not only errors in your tool but also outside influences such as interrupts (SIGINT), etc. You may want to install signal handlers to manage this write-back.
#NinjaBuild jobserver implementation may not handle this correctly, but fortunately it does. The irony is, it turns out that GNU make does not…
#Gentoo

I was looking for my dishwasher manual. I noticed next to the manual, a link that said "Free Open Source Software". Curious, I clicked on it, and it's a long list of licenses and copyright information that is used in the dishwasher. Ctrl-F, and sure enough - my name's on the list.
I feel like I should have gotten a discount on the dishwasher, or at the very least access to its firmware source code! 🤠

I'll just leave this here.
https://www.justice.gov/archives/jm/criminal-resource-manual-1666-destruction-government-property-18-usc-1361

I’m slightly feverish (I’m sure that’s the reason) to announce stamina 25.2.0! Among others, it allows `on` hooks to return custom back-off values (think: Retry-After headers!) and adds support for retrying generators (both sync and async):
https://github.com/hynek/stamina/releases/tag/…

The latest npm attacks & changes have pushed me to set up Trusted Publishing via GitHub Actions, and honestly it's actually fantastic.
Didn't realise how much hassle & friction manual publishing was. npm version push --tags is incredibly convenient (and safer more verifiable for everyone!)

A large-scale, unsupervised pipeline for automatic corpus annotation using LLMs: variation and change in the English consider construction
Cameron Morin, Matti Marttinen Larsson
https://arxiv.org/abs/2510.12306

A large-scale, unsupervised pipeline for automatic corpus annotation using LLMs: variation and change in the English consider construction
As natural language corpora expand at an unprecedented rate, manual annotation remains a significant methodological bottleneck in corpus linguistic work. We address this challenge by presenting a scalable, unsupervised pipeline for automating grammatical annotation in voluminous corpora using large language models (LLMs). Unlike previous supervised and iterative approaches, our method employs a four-phase workflow: prompt engineering, pre-hoc evaluation, automated batch processing, and post-hoc…

MVP4D: Multi-View Portrait Video Diffusion for Animatable 4D Avatars
Felix Taubner, Ruihang Zhang, Mathieu Tuli, Sherwin Bahmani, David B. Lindell
https://arxiv.org/abs/2510.12785

MVP4D: Multi-View Portrait Video Diffusion for Animatable 4D Avatars
Digital human avatars aim to simulate the dynamic appearance of humans in virtual environments, enabling immersive experiences across gaming, film, virtual reality, and more. However, the conventional process for creating and animating photorealistic human avatars is expensive and time-consuming, requiring large camera capture rigs and significant manual effort from professional 3D artists. With the advent of capable image and video generation models, recent methods enable automatic rendering o…

An interview with Nikita Bier, who wants to lure journalists back to X with a rebuilt recommendation algorithm with no keyword suppression or manual downranking (Alex Heath/Sources)
https://sources.news/p/x-wants-its-haters-back

X wants its haters back
Product chief Nikita Bier's message to journalists who left: “We have to earn their trust.”

I found the Quadraverb manual online. :)
https://notebook.zoeblade.com/Downloads/Documentation/Alesis/QuadraVerb_owners_manual.pdf
Edit: big thanks to @…

That kb shortcut to toggle between layouts (including scrolling) is effing awesome. Waybar is up, now it's delving into that manual and start building my dwm-behave-alike. And adjust all keybinds. People: Super is for applications, Alt is for all window related stuff. Super q is an aberration to close a window; Alt q is the way to go 😎

The Top 100 Things I'd Do
If I Ever Became An Evil Overlord
http://www.eviloverlord.com/lists/overlord.html

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
Yun Peng, Kisub Kim, Linghan Meng, Kui Liu
https://arxiv.org/abs/2510.12186 https://arx…

iCodeReviewer: Improving Secure Code Review with Mixture of Prompts
Code review is an essential process to ensure the quality of software that identifies potential software issues at an early stage of software development. Among all software issues, security issues are the most important to identify, as they can easily lead to severe software crashes and service disruptions. Recent research efforts have been devoted to automated approaches to reduce the manual efforts required in the secure code review process. Despite the progress, current automated approaches…

Hey Dashboard!: Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding
Vaishali Dhanoa, Gabriela Molina Le\'on, Eve Hoggan, Eduard Gr\"oller, Marc Streit, Niklas Elmqvist
https://arxiv.org/abs/2510.12386

Hey Dashboard!: Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding
Visualization dashboards are regularly used for data exploration and analysis, but their complex interactions and interlinked views often require time-consuming onboarding sessions from dashboard authors. Preparing these onboarding materials is labor-intensive and requires manual updates when dashboards change. Recent advances in multimodal interaction powered by large language models (LLMs) provide ways to support self-guided onboarding. We present DIANA (Dashboard Interactive Assistant for Na…

For today's #FreeSoftwareAdvent here's a tiny tool we have used in our pipeline: pyRenamer is a simple app to rename/renumber a bunch of files.
Unfortunately it's pretty much an abandoned fork of a Python 2 app that has been abandoned for even longer ago. It still works and for renumbering there's no easier solution at hand. But for file name search & replace …

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Yumin Choi, Dongki Kim, Jinheon Baek, Sung Ju Hwang
https://arxiv.org/abs/2510.09201 https://

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs
Large Language Models (LLMs) have shown remarkable success, and their multimodal expansions (MLLMs) further unlock capabilities spanning images, videos, and other modalities beyond text. However, despite this shift, prompt optimization approaches, designed to reduce the burden of manual prompt crafting while maximizing performance, remain confined to text, ultimately limiting the full potential of MLLMs. Motivated by this gap, we introduce the new problem of multimodal prompt optimization, whic…

from my link log —
A history of man pages.
https://abochannek.github.io/utilities/2024/12/08/man-pages.html
saved 2025-11-06 https://…

Using Robotics to Improve Transcatheter Edge-to-Edge Repair of the Mitral Valve
L\'ea Pistorius, Namrata U. Nayar, Phillip Tran, Sammy Elmariah, Pierre E. Dupont
https://arxiv.org/abs/2510.04178

Using Robotics to Improve Transcatheter Edge-to-Edge Repair of the Mitral Valve
Transcatheter valve repair presents significant challenges due to the mechanical limitations and steep learning curve associated with manual catheter systems. This paper investigates the use of robotics to facilitate transcatheter procedures in the context of mitral valve edge-to-edge repair. The complex handle-based control of a clinical repair device is replaced by intuitive robotic joint-based control via a game controller. Manual versus robotic performance is analyzed by decomposing the ove…

🇺🇦 #NowPlaying on KEXP's #ElSonido
Fšrmacos:
🎵 Manual de una Pérdida
#Fármacos
https://farmacos.bandcamp.com/track/manual-de-una-p-rdida
https://open.spotify.com/track/4FDqMu6PH1HT27nM9q21Uh

"ChatGPT, write a 200 page manual in the style of the existing series, on the subject of, and entitled, 'AI for Dummies'."

cell phones and tablets:
https://mastodon.social/@simple_sabotage/115504195285748004

An interview with Nikita Bier, who wants to lure journalists back to X with a rebuilt recommendation algorithm with no keyword suppression or manual downranking (Alex Heath/Sources)
https://sources.news/p/x-wants-its-haters-back

X wants its haters back
Product chief Nikita Bier's message to journalists who left: “We have to earn their trust.”

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Haci Ismail Aslan, Syed Muhammad Mahmudul Haque, Joel Witzke, Odej Kao
https://arxiv.org/abs/2510.09851

QONNECT: A QoS-Aware Orchestration System for Distributed Kubernetes Clusters
Modern applications increasingly span across cloud, fog, and edge environments, demanding orchestration systems that can adapt to diverse deployment contexts while meeting Quality-of-Service (QoS) requirements. Standard Kubernetes schedulers do not account for user-defined objectives such as energy efficiency, cost optimization, and global performance, often leaving operators to make manual, cluster-by-cluster placement decisions. To address this need, we present QONNECT, a vendor-agnostic orch…

FWIW, this is fixed now. Thanks for the merge @….
https://php.net/pipe

PHP: Functional - Manual
Functional Operators

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

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

pyspect: An Extensible Toolbox for Automatic Construction of Temporal Logic Trees via Reachability Analysis
Kaj Munhoz Arfvidsson, Loizos Hadjiloizou, Frank J. Jiang, Karl H. Johansson, Jonas M{\aa}rtensson
https://arxiv.org/abs/2510.11316

pyspect: An Extensible Toolbox for Automatic Construction of Temporal Logic Trees via Reachability Analysis
In this paper, we present pyspect, a Python toolbox that simplifies the use of reachability analysis for temporal logic problems. Currently, satisfying complex requirements in cyber-physical systems requires significant manual effort and domain expertise to develop the underlying reachability programs. This high development effort limits the broader adoption of reachability analysis for complex verification problems. To address this, pyspect provides a method-agnostic approach to performing rea…

Panicked message from the boss. Looks like one of the documentation files is corrupted. We haven't had the time to cross train that process. Too many manual steps to extract the information from the repository, download to the network work folder, import into Word format, locate specific items and run the macro to format those, export to PDF and then reindex the production doc folder with the change.

I may have “accidentally” bought a Bambino Plus #espresso machine and I’m finding all the skills I’ve developed with manual lever presses do not transfer.
First shot tasted fine but the puck was wet and now I’m in a rabbit hole I don’t need to be in.

Manual yearly game summary
Most played RPGs of the year, by hour, vague guess and vague definition of RPGs:
- Over/under
- uncharted worlds but as a sitcom
- cairn
- cataphracts
- glowburn and radscars
I didn't run a lot of games, should fix that next year. Just some one shots.
- Cairn
- Blades in the Dark
- Knights of the Road
- miniphracts
#ttrpg

Ensemble-Based Data Assimilation for Material Model Characterization in High-Velocity Impact
Rong Jin, Guangyao Wang, Xingsheng Sun
https://arxiv.org/abs/2510.09703 https://

Ensemble-Based Data Assimilation for Material Model Characterization in High-Velocity Impact
High-fidelity simulations are essential for understanding and predicting the behavior of materials under high-velocity impact (HVI) in both fundamental research and practical applications. However, their accuracy relies on material models and parameters that are traditionally obtained through manual fitting to multiple time- and labor-intensive experiments. This study presents an ensemble-based data assimilation (DA) framework to automatically and simultaneously calibrate plasticity, fracture, …

Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
Shelley Zixin Shu, Haozhe Luo, Alexander Poellinger, Mauricio Reyes
https://arxiv.org/abs/2510.12704

Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
Transformer-based deep learning models have demonstrated exceptional performance in medical imaging by leveraging attention mechanisms for feature representation and interpretability. However, these models are prone to learning spurious correlations, leading to biases and limited generalization. While human-AI attention alignment can mitigate these issues, it often depends on costly manual supervision. In this work, we propose a Hybrid Explanation-Guided Learning (H-EGL) framework that combines…

From Translink
Stadium–Chinatown SkyTrain Station elevator replacement begins
Alternative travel plans needed for customers requiring use of station elevator
TransLink is replacing the 40-year-old elevator at Stadium–Chinatown SkyTrain Station with a higher-capacity one. The new elevator will have 20 per cent more room — roughly equal to three standing adults or two extra manual wheelchairs.
#Vancouver

Since I rely on and use @… pretty much everyday as my preferred email provider, I donated €10, and will turn it to a monthly donation.
Support the projects, organizations, or initiatives you depend on the most. For me, that’s https://…

Dreamy rudbeckia flowers shot with the manual focus 50mm
#photo #photography #flowers #bloomscrolling

Looking at the ARMv8-A ARM and I see implementer ID 0x44 is DEC.
I'm... very confident DEC has never built an ARMv8 CPU core.
Is this just copy-pasted from earlier docs because DEC had an ARM architecture license in years past? Or is this license still valid and held by DEC's successors (I think DEC -> Compaq -> HP -> HPE, does HPE make custom ARM cores?)

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems
Bohan Yao, Shiva Krishna Reddy Malay, Vikas Yadav
https://arxiv.org/abs/2510.05746 https://

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems
Large Language Model (LLM)-powered Multi-agent systems (MAS) have achieved state-of-the-art results on various complex reasoning tasks. Recent works have proposed techniques to automate the design of MASes, eliminating the need for manual engineering. However, these techniques perform poorly, often achieving similar or inferior performance to simple baselines. Furthermore, they require computationally expensive re-discovery of architectures for each new task domain and expensive data annotation…

"AI-powered oil spill prediction system can improve emergency response accuracy by up to 25%"
#AI #ArtificialIntelligence #Technology

AI-powered oil spill prediction system can improve emergency response accuracy by up to 25%
Oil spills can be among the most devastating environmental disasters, with the potential to severely damage marine ecosystems, disrupt coastal communities, and impose lasting economic damage. Traditional numerical models, such as MEDSLIK-II, simulate the movement and transformation of oil particles in seawater, but their accuracy has been limited by dependence on expert judgment for tuning critical physical parameters. This manual calibration process, while informed by experience, is not always…

🗺️ Building routes with 𝐑 𝐎𝐒𝐑𝐌 on 𝐎𝐩𝐞𝐧𝐒𝐭𝐫𝐞𝐞𝐭𝐌𝐚𝐩 data and tired of switching to terminal and breaking the workflow?
Just use osrm.backend::osrm_start("your_data_folder")
• No need to pre-install 𝐃𝐨𝐜𝐤𝐞𝐫 or 𝐨𝐬𝐫𝐦-𝐛𝐚𝐜𝐤𝐞𝐧𝐝 native app — it’s handled for you on macOS, Windows, and Linux automagically
• No manual graph prep (though you can, see options for advanced users)
📘 Get started:

i have finished the git-pages administrator's manual, a nearly 5000 word long document covering basically every aspect of configuration and operation
please enjoy / use / criticise https://git-pages.org/running-a-server/

Running a server - git-pages static site server [WIP]

New on blog: "How we incidentally uncovered a 7-year old bug in gentoo-ci"
"""
“Gentoo CI” is the service providing periodic linting for the Gentoo repository. It is a part of the Repository mirror and CI project that I’ve started in 2015. Of course, it all started as a temporary third-party solution, but it persisted, was integrated into Gentoo Infrastructure and grew organically into quite a monstrosity.
It’s imperfect in many ways. In particular, it has only some degree of error recovery and when things go wrong beyond that, it requires a manual fix. Often the “fix” is to stop mirroring a problematic repository. Over time, I’ve started having serious doubts about the project, and proposed sunsetting most of it.
Lately, things have been getting worse. What started as a minor change in behavior of Git triggered a whole cascade of failures, leading to me finally announcing the deadline for sunsetting the mirroring of third-party repositories, and starting ripping non-critical bits out of it. Interesting enough, this whole process led me to finally discover the root cause of most of these failures — a bug that has existed since the very early version of the code, but happened to be hidden by the hacky error recovery code. Here’s the story of it.
"""
#Gentoo

Best thing of the day? Finally cracking that volume change on the River wm, keybinds working now! What cracked it? Reading that effing manual of course 😅 And not deleting code you deem too much, but is essential to get it working 🤣
#freebsd #riverwm

EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases
Kwanhyung Lee, Sungsoo Hong, Joonhyung Park, Jeonghyeop Lim, Juhwan Choi, Donghwee Yoon, Eunho Yang
https://arxiv.org/abs/2510.00549

EMR-AGENT: Automating Cohort and Feature Extraction from EMR Databases
Machine learning models for clinical prediction rely on structured data extracted from Electronic Medical Records (EMRs), yet this process remains dominated by hardcoded, database-specific pipelines for cohort definition, feature selection, and code mapping. These manual efforts limit scalability, reproducibility, and cross-institutional generalization. To address this, we introduce EMR-AGENT (Automated Generalized Extraction and Navigation Tool), an agent-based framework that replaces manual r…

AutoPentester: An LLM Agent-based Framework for Automated Pentesting
Yasod Ginige, Akila Niroshan, Sajal Jain, Suranga Seneviratne
https://arxiv.org/abs/2510.05605 https://

AutoPentester: An LLM Agent-based Framework for Automated Pentesting
Penetration testing and vulnerability assessment are essential industry practices for safeguarding computer systems. As cyber threats grow in scale and complexity, the demand for pentesting has surged, surpassing the capacity of human professionals to meet it effectively. With advances in AI, particularly Large Language Models (LLMs), there have been attempts to automate the pentesting process. However, existing tools such as PentestGPT are still semi-manual, requiring significant professional …

If I don't force-close my morse code drill app, sometimes it just starts playing even if I'm nowhere near my phone. Often sitting a good distance away charging in the middle of the night. The author of the app has looked for and failed to find any logical cause for this problem.
It's a google Pixel, and maybe I'm seeing a variation on something others have been seeing:

NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
Fang Yuan, Junjie Zeng, Yue Hu, Zhengqiu Zhu, Quanjun Yin, Yuxiang Xie
https://arxiv.org/abs/2510.09355

NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
SOAR, a classic symbol-based cognitive architecture, has been fostering the development of general, human-like intelligent agents. Nevertheless, its practical adoption is hindered by the laborious manual rule coding. Emerging Large Language Models (LLMs) present the immense potential for efficient rules generation. However, there is a critical gap that current research predominantly focuses on conceptual frameworks and lacks robust experimental validation. To bridge this gap, we propose \textit…

An important update from the Director of Procurement at one of my customers:
"From Monday 1 December, all your invoices submitted for payment to the Invoice team must include a valid PO number. Invoices without a PO number will be rejected and returned to you. Please ensure that work is not started without a PO number; the PO number will be sent to you via our ERP system, Tech One."
Great, so they have introduced a manual step into my automated process.

PyMigTool: a tool for end-to-end Python library migration
Mohayeminul Islam, Ajay Kumar Jha, May Mahmoud, Sarah Nadi
https://arxiv.org/abs/2510.08810 https://

PyMigTool: a tool for end-to-end Python library migration
Library migration is the process of replacing a library with a similar one in a software project. Manual library migration is time consuming and error prone, as it requires developers to understand the Application Programming Interfaces (API) of both libraries, map equivalent APIs, and perform the necessary code transformations. Due to the difficulty of the library migration process, most of the existing automated techniques and tooling stop at the API mapping stage or support a limited set of …

Zero-Shot Large Language Model Agents for Fully Automated Radiotherapy Treatment Planning
Dongrong Yang, Xin Wu, Yibo Xie, Xinyi Li, Qiuwen Wu, Jackie Wu, Yang Sheng
https://arxiv.org/abs/2510.11754

Zero-Shot Large Language Model Agents for Fully Automated Radiotherapy Treatment Planning
Radiation therapy treatment planning is an iterative, expertise-dependent process, and the growing burden of cancer cases has made reliance on manual planning increasingly unsustainable, underscoring the need for automation. In this study, we propose a workflow that leverages a large language model (LLM)-based agent to navigate inverse treatment planning for intensity-modulated radiation therapy (IMRT). The LLM agent was implemented to directly interact with a clinical treatment planning system…

#Rstats problems: Did you ever think that the dots for dotted lines are a bit too far apart per default? TIL that it's super easy to change this.
In #ggplot2, simply try something like:
scale_linetype_manual(
values = c(a = "dotted", b = "11")
)
The '11' means: 1 point for a dot, 1 point for a gap. Find out more here: https://stackoverflow.com/questions/25788945/how-to-define-more-line-types-for-graphs-in-r-custom-linetype

Looking for a not-for profit alternative for academics by academics? An alt to academia DOT edu, Facebook, Research Gate, etc. Check out #ProfBook
https://profbook.net/share/PvJ-2503ZCJ

ProfBook
Do you love the ability to connect with fellow scholars to share resources, ask questions, announce conferences and books, and build collaborative networks? Are you tired of the existing social media options that feed you constant ads, invade your privacy, and monetize your data? ProfBook combines the best of the former and none of the latter. Founded by an individual human being who is a professor and not a businessman, this is a non-corporate, non-invasive option for genuine networking and co…

Placeit! A Framework for Learning Robot Object Placement Skills
Amina Ferrad, Johann Huber, Fran\c{c}ois H\'el\'enon, Julien Gleyze, Mahdi Khoramshahi, St\'ephane Doncieux
https://arxiv.org/abs/2510.09267

Placeit! A Framework for Learning Robot Object Placement Skills
Robotics research has made significant strides in learning, yet mastering basic skills like object placement remains a fundamental challenge. A key bottleneck is the acquisition of large-scale, high-quality data, which is often a manual and laborious process. Inspired by Graspit!, a foundational work that used simulation to automatically generate dexterous grasp poses, we introduce Placeit!, an evolutionary-computation framework for generating valid placement positions for rigid objects. Placei…

• 60 out of 100 times it’ll “sync” and freeze with all 4 LEDs on. The Wii U does a little beep but doesn’t show the controller and no inputs work.
• 38 out of 100 times the same thing will happen but with all LEDs off
  • You need to remove the batteries in order to take the wiimotes out of these states
• 2 out of 100 times the wiimotes actually connect, but show with 1 battery bar and almost no inputs go through (and the ones that do are extremely laggy, except for the power button)
  • The manual states that if this happens you can remove the batteries, wait 3 minutes and connect (without syncing) again. That does fixes it sometimes, but it really only worked once for each wiimote.
  • A truly successful connection only happens after the “low battery one”, and even then it seems to be hard to achieve for the first time.
    • Afterwards you’re supposed to be able to reconnect without syncing and then not encounter the issues anymore. That was true for the pink wiimote, but the blue wiimote had to be synced again. I spent quite a few hours trying and wasn’t able to get a successful connection.
    • If you connect the pink wiimote that was working when the other wiimote is in the 4 LEDs freeze state it’ll break the connection of the other one and make you need to sync it again
      • Now none of my aliexpress wiimotes are synced and idk when I’ll be able to sync them again

'fsadm' is a command line tool that can resize a filesystem and the underlying lvm or luks partition at the same time, for ext* and XFS. It avoids the need to remember to do the lvm lv resize, and the filesystem resize dance separately.
https://man7.org/linux/man-pages/man8/

We're all coping with this RAM price crisis in our own way. https://f.duriansoftware.com/@joe/115663044532290593

I'm sure that VMS is completely documented, I just haven't found the
right manual yet. I've been working my way through the manuals in the document
library and I'm half way through the second cabinet, (3 shelves to go), so I
should find what I'm looking for by mid May. I hope I can remember what it
was by the time I find it.
I had this idea for a new horror film, "VMS Manuals from Hell" or maybe
"The Paper Chase : IBM vs. DEC". It's based on Hitchcock's "The Birds", except
that it's centered around a programmer who is attacked by a swarm of binder
pages with an index number and the single line "This page intentionally left
blank."
-- Alex Crain

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
Peiwen Sun, Shiqiang Lang, Dongming Wu, Yi Ding, Kaituo Feng, Huadai Liu, Zhen Ye, Rui Liu, Yun-Hui Liu, Jianan Wang, Xiangyu Yue
https://arxiv.org/abs/2510.09606

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km
With the current surge in spatial reasoning explorations, researchers have made significant progress in understanding indoor scenes, but still struggle with diverse applications such as robotics and autonomous driving. This paper aims to advance all-scale spatial reasoning across diverse scenarios by tackling two key challenges: 1) the heavy reliance on indoor 3D scans and labor-intensive manual annotations for dataset curation; 2) the absence of effective all-scale scene modeling, which often …

MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai
https://arxiv.org/abs/2510.07307

MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
While Language Models (LMs) have made significant progress in automating machine learning engineering (MLE), the acquisition of high-quality MLE training data is significantly constrained. Current MLE benchmarks suffer from low scalability and limited applicability because they rely on static, manually curated tasks, demanding extensive time and manual effort to produce. We introduce MLE-Smith, a fully automated multi-agent pipeline, to transform raw datasets into competition-style MLE challeng…

The following “Dear Joe” email exchange is a hypothetical email colloquy
between an expert in military law and a fictional service member seeking advice on how to deal with the current situation.
The content is based on publicly reported facts, the Manual for Courts-Martial, the Uniform Code of Military Justice, and the authors’ opinions.
Military law establishes a strong presumption that military orders are lawful and must be obeyed.
We do not counsel any military mem…

Dear JAG: What Do I Do if I Get Unlawful Orders to Blow Up Civilian Boats
Orders are presumed to be lawful, but that presumption is rebuttable rather than conclusive.

In addition to <https://mastodon.bsd.cafe/@lw/115658547866818342>:
― a bug in the Examples section of the manual page for freebsd-base(7) in FreeBSD-RELEASE
<

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
Zhaorun Chen, Xun Liu, Mintong Kang, Jiawei Zhang, Minzhou Pan, Shuang Yang, Bo Li
https://arxiv.org/abs/2510.02677

ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks
As vision-language models (VLMs) gain prominence, their multimodal interfaces also introduce new safety vulnerabilities, making the safety evaluation challenging and critical. Existing red-teaming efforts are either restricted to a narrow set of adversarial patterns or depend heavily on manual engineering, lacking scalable exploration of emerging real-world VLM vulnerabilities. To bridge this gap, we propose ARMs, an adaptive red-teaming agent that systematically conducts comprehensive risk ass…

INFER : Learning Implicit Neural Frequency Response Fields for Confined Car Cabin
Harshvardhan C. Takawale, Nirupam Roy, Phil Brown
https://arxiv.org/abs/2510.07442 https://

INFER : Learning Implicit Neural Frequency Response Fields for Confined Car Cabin
Accurate modeling of spatial acoustics is critical for immersive and intelligible audio in confined, resonant environments such as car cabins. Current tuning methods are manual, hardware-intensive, and static, failing to account for frequency selective behaviors and dynamic changes like passenger presence or seat adjustments. To address this issue, we propose INFER: Implicit Neural Frequency Response fields, a frequency-domain neural framework that is jointly conditioned on source and receiver …

🍾 Drop-to-deploy: How bistable mechanics unfold structures in under a second
#structures

Drop-to-deploy: How bistable mechanics unfold structures in under a second
Traditional deployable systems—relying on pneumatic pumps, electric motors, magnets, or manual assembly—often require bulky power systems or multiple steps. We began exploring whether a simpler, non-electronic alternative was possible using only geometric and material intelligence.

No More Manual Guides: Automatic and Scalable Generation of High-Quality Excel Tutorials
Yuhang Xie (Peking University), Jian Mu (Nanjing University), Xiaojun Ma (Microsoft), Chaoyun Zhang (Microsoft), Lu Wang (Microsoft), Mengyu Zhou (Microsoft), Mugeng Liu (Peking University), Si Qin (Microsoft), Qingwei Lin (Microsoft), Saravan Rajmohan (Microsoft), Shi Han (Microsoft), Dongmei Zhang (Microsoft)

No More Manual Guides: Automatic and Scalable Generation of High-Quality Excel Tutorials
Excel is one of the most widely used productivity tools across domains, offering rich functionality but also overwhelming users with its complexity. This creates a persistent demand for tutorials to support effective usage. However, existing tutorials are manually authored by experts, require frequent updates after each software release, and incur substantial labor costs. Prior work has not achieved fully automated tutorial generation, since existing methods still depend on handcrafted operatio…

Learning-Based Collaborative Control for Bi-Manual Tactile-Reactive Grasping
Leonel Giacobbe, Jingdao Chen, Chuangchuang Sun
https://arxiv.org/abs/2509.22421 https://

Learning-Based Collaborative Control for Bi-Manual Tactile-Reactive Grasping
Grasping is a core task in robotics with various applications. However, most current implementations are primarily designed for rigid items, and their performance drops considerably when handling fragile or deformable materials that require real-time feedback. Meanwhile, tactile-reactive grasping focuses on a single agent, which limits their ability to grasp and manipulate large, heavy objects. To overcome this, we propose a learning-based, tactile-reactive multi-agent Model Predictive Controll…

Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
Qinhao Zhou, Xiang Xiang, Kun He, John E. Hopcroft
https://arxiv.org/abs/2510.06695 https://

Learning to Rewrite Prompts for Bootstrapping LLMs on Downstream Tasks
In recent years, the growing interest in Large Language Models (LLMs) has significantly advanced prompt engineering, transitioning from manual design to model-based optimization. Prompts for LLMs generally comprise two components: the \textit{instruction}, which defines the task or objective, and the \textit{input}, which is tailored to the instruction type. In natural language generation (NLG) tasks such as machine translation, the \textit{input} component is particularly critical, while the \…

Autoproof: Automated Segmentation Proofreading for Connectomics
Gary B Huang, William M Katz, Stuart Berg, Louis Scheffer
https://arxiv.org/abs/2509.26585 https://

Autoproof: Automated Segmentation Proofreading for Connectomics
Producing connectomes from electron microscopy (EM) images has historically required a great deal of human proofreading effort. This manual annotation cost is the current bottleneck in scaling EM connectomics, for example, in making larger connectome reconstructions feasible, or in enabling comparative connectomics where multiple related reconstructions are produced. In this work, we propose using the available ground-truth data generated by this manual annotation effort to learn a machine lear…

Meta cuts roles in its Risk unit citing a shift from manual reviews to a "consistent and automated process" that is delivering "reliable compliance outcomes" (Jyoti Mann/Business Insider)
https://www.businessinsider.com/meta-job-cut…

Meta told some employees their jobs are being replaced by tech
An internal memo explaining the cuts said "many routine decisions can now be handled efficiently by technology."

$ git soda pop
update: https://git-man-page-generator.lokaltog.net/#c29kYSQkcG9w

Past, Present, and Future of Bug Tracking in the Generative AI Era
Utku Boran Torun, Mehmet Taha Demircan, Mahmut Furkan G\"on, Eray T\"uz\"un
https://arxiv.org/abs/2510.08005

Past, Present, and Future of Bug Tracking in the Generative AI Era
Traditional bug tracking systems rely heavily on manual reporting, reproduction, triaging, and resolution, each carried out by different stakeholders such as end users, customer support, developers, and testers. This division of responsibilities requires significant coordination and widens the communication gap between non-technical users and technical teams, slowing the process from bug discovery to resolution. Moreover, current systems are highly asynchronous; users often wait hours or days f…

BrainIB : Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
Tianzheng Hu, Qiang Li, Shu Liu, Vince D. Calhoun, Guido van Wingen, Shujian Yu
https://arxiv.org/abs/2510.03004

BrainIB++: Leveraging Graph Neural Networks and Information Bottleneck for Functional Brain Biomarkers in Schizophrenia
The development of diagnostic models is gaining traction in the field of psychiatric disorders. Recently, machine learning classifiers based on resting-state functional magnetic resonance imaging (rs-fMRI) have been developed to identify brain biomarkers that differentiate psychiatric disorders from healthy controls. However, conventional machine learning-based diagnostic models often depend on extensive feature engineering, which introduces bias through manual intervention. While deep learning…

Automated Constraint Specification for Job Scheduling by Regulating Generative Model with Domain-Specific Representation
Yu-Zhe Shi, Qiao Xu, Yanjia Li, Mingchen Liu, Huamin Qu, Lecheng Ruan, Qining Wang
https://arxiv.org/abs/2510.02679

Automated Constraint Specification for Job Scheduling by Regulating Generative Model with Domain-Specific Representation
Advanced Planning and Scheduling (APS) systems have become indispensable for modern manufacturing operations, enabling optimized resource allocation and production efficiency in increasingly complex and dynamic environments. While algorithms for solving abstracted scheduling problems have been extensively investigated, the critical prerequisite of specifying manufacturing requirements into formal constraints remains manual and labor-intensive. Although recent advances of generative models, part…

Annotation-Free One-Shot Imitation Learning for Multi-Step Manipulation Tasks
Vijja Wichitwechkarn, Emlyn Williams, Charles Fox, Ruchi Choudhary
https://arxiv.org/abs/2509.24972

Annotation-Free One-Shot Imitation Learning for Multi-Step Manipulation Tasks
Recent advances in one-shot imitation learning have enabled robots to acquire new manipulation skills from a single human demonstration. While existing methods achieve strong performance on single-step tasks, they remain limited in their ability to handle long-horizon, multi-step tasks without additional model training or manual annotation. We propose a method that can be applied to this setting provided a single demonstration without additional model training or manual annotation. We evaluated…

MoA-VR: A Mixture-of-Agents System Towards All-in-One Video Restoration
Lu Liu, Chunlei Cai, Shaocheng Shen, Jianfeng Liang, Weimin Ouyang, Tianxiao Ye, Jian Mao, Huiyu Duan, Jiangchao Yao, Xiaoyun Zhang, Qiang Hu, Guangtao Zhai
https://arxiv.org/abs/2510.08508

MoA-VR: A Mixture-of-Agents System Towards All-in-One Video Restoration
Real-world videos often suffer from complex degradations, such as noise, compression artifacts, and low-light distortions, due to diverse acquisition and transmission conditions. Existing restoration methods typically require professional manual selection of specialized models or rely on monolithic architectures that fail to generalize across varying degradations. Inspired by expert experience, we propose MoA-VR, the first \underline{M}ixture-\underline{o}f-\underline{A}gents \underline{V}ideo …

MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning
Tajamul Ashraf, Umair Nawaz, Abdelrahman M. Shaker, Rao Anwer, Philip Torr, Fahad Shahbaz Khan, Salman Khan
https://arxiv.org/abs/2510.08567

MATRIX: Multimodal Agent Tuning for Robust Tool-Use Reasoning
Vision language models (VLMs) are increasingly deployed as controllers with access to external tools for complex reasoning and decision-making, yet their effectiveness remains limited by the scarcity of high-quality multimodal trajectories and the cost of manual annotation. We address this challenge with a vision-centric agent tuning framework that automatically synthesizes multimodal trajectories, generates step-wise preference pairs, and trains a VLM controller for robust tool-use reasoning. …

HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
Carol Hanna, Federica Sarro, Mark Harman, Justyna Petke
https://arxiv.org/abs/2510.07529 https://

HotBugs.jar: A Benchmark of Hot Fixes for Time-Critical Bugs
Hot fixes are urgent, unplanned changes deployed to production systems to address time-critical issues. Despite their importance, no existing evaluation benchmark focuses specifically on hot fixes. We present HotBugs.jar, the first dataset dedicated to real-world hot fixes. From an initial mining of 10 active Apache projects totaling over 190K commits and 150K issue reports, we identified 746 software patches that met our hot-fix criteria. After manual evaluation, 679 were confirmed as genuine …

Vision-Guided Targeted Grasping and Vibration for Robotic Pollination in Controlled Environments
Jaehwan Jeong, Tuan-Anh Vu, Radha Lahoti, Jiawen Wang, Vivek Alumootil, Sangpil Kim, M. Khalid Jawed
https://arxiv.org/abs/2510.06146

Vision-Guided Targeted Grasping and Vibration for Robotic Pollination in Controlled Environments
Robotic pollination offers a promising alternative to manual labor and bumblebee-assisted methods in controlled agriculture, where wind-driven pollination is absent and regulatory restrictions limit the use of commercial pollinators. In this work, we present and validate a vision-guided robotic framework that uses data from an end-effector mounted RGB-D sensor and combines 3D plant reconstruction, targeted grasp planning, and physics-based vibration modeling to enable precise pollination. First…

Addressing Visual Impairments with Model-Driven Engineering: A Systematic Literature Review
Judith Michael, Lukas Netz, Bernhard Rumpe, Ingo M\"uller, John Grundy, Shavindra Wickramathilaka, Hourieh Khalajzadeh
https://arxiv.org/abs/2510.06483

Addressing Visual Impairments with Model-Driven Engineering: A Systematic Literature Review
Software applications often pose barriers for users with accessibility needs, e.g., visual impairments. Model-driven engineering (MDE), with its systematic nature of code derivation, offers systematic methods to integrate accessibility concerns into software development while reducing manual effort. This paper presents a systematic literature review on how MDE addresses accessibility for vision impairments. From 447 initially identified papers, 30 primary studies met the inclusion criteria. Abo…

Towards Autonomous Tape Handling for Robotic Wound Redressing
Xiao Liang, Lu Shen, Peihan Zhang, Soofiyan Atar, Florian Richter, Michael Yip
https://arxiv.org/abs/2510.06127 htt…

Towards Autonomous Tape Handling for Robotic Wound Redressing
Chronic wounds, such as diabetic, pressure, and venous ulcers, affect over 6.5 million patients in the United States alone and generate an annual cost exceeding \$25 billion. Despite this burden, chronic wound care remains a routine yet manual process performed exclusively by trained clinicians due to its critical safety demands. We envision a future in which robotics and automation support wound care to lower costs and enhance patient outcomes. This paper introduces an autonomous framework for…

Towards Scalable and Consistent 3D Editing
Ruihao Xia, Yang Tang, Pan Zhou
https://arxiv.org/abs/2510.02994 https://arxiv.org/pdf/2510.02994

Towards Scalable and Consistent 3D Editing
3D editing - the task of locally modifying the geometry or appearance of a 3D asset - has wide applications in immersive content creation, digital entertainment, and AR/VR. However, unlike 2D editing, it remains challenging due to the need for cross-view consistency, structural fidelity, and fine-grained controllability. Existing approaches are often slow, prone to geometric distortions, or dependent on manual and accurate 3D masks that are error-prone and impractical. To address these challeng…

AutoEmpirical: LLM-Based Automated Research for Empirical Software Fault Analysis
Jiongchi Yu, Weipeng Jiang, Xiaoyu Zhang, Qiang Hu, Xiaofei Xie, Chao Shen
https://arxiv.org/abs/2510.04997

AutoEmpirical: LLM-Based Automated Research for Empirical Software Fault Analysis
Understanding software faults is essential for empirical research in software development and maintenance. However, traditional fault analysis, while valuable, typically involves multiple expert-driven steps such as collecting potential faults, filtering, and manual investigation. These processes are both labor-intensive and time-consuming, creating bottlenecks that hinder large-scale fault studies in complex yet critical software systems and slow the pace of iterative empirical research. In …

OTR: Synthesizing Overlay Text Dataset for Text Removal
Jan Zdenek, Wataru Shimoda, Kota Yamaguchi
https://arxiv.org/abs/2510.02787 https://arxiv.org/pdf/2…

OTR: Synthesizing Overlay Text Dataset for Text Removal
Text removal is a crucial task in computer vision with applications such as privacy preservation, image editing, and media reuse. While existing research has primarily focused on scene text removal in natural images, limitations in current datasets hinder out-of-domain generalization or accurate evaluation. In particular, widely used benchmarks such as SCUT-EnsText suffer from ground truth artifacts due to manual editing, overly simplistic text backgrounds, and evaluation metrics that do not ca…

Automatic Building Code Review: A Case Study
Hanlong Wan, Weili Xu, Michael Rosenberg, Jian Zhang, Aysha Siddika
https://arxiv.org/abs/2510.02634 https://a…

Automatic Building Code Review: A Case Study
Building officials, particularly those in resource-constrained or rural jurisdictions, face labor-intensive, error-prone, and costly manual reviews of design documents as projects increase in size and complexity. The growing adoption of Building Information Modeling (BIM) and Large Language Models (LLMs) presents opportunities for automated code review (ACR) solutions. This study introduces a novel agent-driven framework that integrates BIM-based data extraction with automated verification usin…

PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Ali Shadman Yazdi, Annalisa Cappella, Benedetta Baldini, Riccardo Solazzo, Gianluca Tartaglia, Chiarella Sforza, Giuseppe Baselli
https://arxiv.org/abs/2510.00910

PAL-Net: A Point-Wise CNN with Patch-Attention for 3D Facial Landmark Localization
Manual annotation of anatomical landmarks on 3D facial scans is a time-consuming and expertise-dependent task, yet it remains critical for clinical assessments, morphometric analysis, and craniofacial research. While several deep learning methods have been proposed for facial landmark localization, most focus on pseudo-landmarks or require complex input representations, limiting their clinical applicability. This study presents a fully automated deep learning pipeline (PAL-Net) for localizing 5…

ZeroFalse: Improving Precision in Static Analysis with LLMs
Mohsen Iranmanesh (Simon Fraser University), Sina Moradi Sabet (Amirkabir University of Technology), Sina Marefat (K. N. Toosi University of Technology), Ali Javidi Ghasr (Ferdowsi University of Mashhad), Allison Wilson (Cyber Risk Solutions), Iman Sharafaldin (Forward Security), Mohammad A. Tayebi (Simon Fraser University)

ZeroFalse: Improving Precision in Static Analysis with LLMs
Static Application Security Testing (SAST) tools are integral to modern software development, yet their adoption is undermined by excessive false positives that weaken developer trust and demand costly manual triage. We present ZeroFalse, a framework that integrates static analysis with large language models (LLMs) to reduce false positives while preserving coverage. ZeroFalse treats static analyzer outputs as structured contracts, enriching them with flow-sensitive traces, contextual evidence,…

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
Rita Peixoto, Filipe F. Correia, Thatiane Rosa, Eduardo Guerra, Alfredo Goldman
https://arxiv.org/abs/2510.03050

Refactoring Towards Microservices: Preparing the Ground for Service Extraction
As organizations increasingly transition from monolithic systems to microservices, they aim to achieve higher availability, automatic scaling, simplified infrastructure management, enhanced collaboration, and streamlined deployments. However, this migration process remains largely manual and labour-intensive. While existing literature offers various strategies for decomposing monoliths, these approaches primarily focus on architecture-level guidance, often overlooking the code-level challenges …