Tootfinder

collins_yeast: Collins yeast interactome (2007)
Network of protein-protein interactions in Saccharomyces cerevisiae (budding yeast), measured by co-complex associations identified by high-throughput affinity purification and mass spectrometry (AP/MS).
This network has 1622 nodes and 9070 edges.
Tags: Biological, Protein interactions, Unweighted

Algorithmic analysis of a complex reliability system subject to multiple events with a preventive maintenance strategy and a Bernoulli vacation policy through MMAPs
Juan Eloy Ruiz-Castro, Hugo Ala\'in Zapata-Ceballos
https://arxiv.org/abs/2510.11506

Algorithmic analysis of a complex reliability system subject to multiple events with a preventive maintenance strategy and a Bernoulli vacation policy through MMAPs
In this work, a single-unit multi-state system is considered. The system is subject to internal failures, as well as external shocks with multiple consequences. It also incorporates a preventive maintenance strategy and a Bernoulli vacation policy for the repairperson. It is algorithmically modeled in both continuous and discrete time using Marked Markovian Arrival Processes (MMAP). The system's operation/degradation level is divided into an indeterminate number of levels. Upon returning from a…

On the subject of joys and problems of fieldwork, flight to Antarctica delayed by 24 hours.
At least I'll be able to clear my inbox I suppose ..
#iQ2300 expedition has actually been in the field a couple of weeks already - you can follow our progress and all the complex logistics around working #Antarctica as well as the joys and problems of #Fieldwork on the expedition blog:  
https://www.polar.se/en/expeditions/iq2300-202526/

Yesterday, I wanted to quickly post something on my blog when I realized that my blog generating process was broken after upgrading to Debian 13.
So I had to analyze the situation, got lost in my complex shell script hell and decided to merge it into one single script without lots of dated stuff.
Next I realized that one of my own libs has a minor issue with Python 3 strings: had to migrate to raw strings to get rid of very valid warnings.
Well, I could not publish that lib…

I’m not supposed to drink milk currently, so I'm having caffè americano rather than cappuccino. I’ve got to say, it helps a lot to think of it not as “espresso with hot water” but as “a drink that retains the complex flavors of espresso, but in a lighter way” (Wikipedia).

I’m not supposed to drink milk currently, so I'm having caffè americano rather than cappuccino. I’ve got to say, it helps a lot to think of it not as “espresso with hot water” but as “a drink that retains the complex flavors of espresso, but in a lighter way” (Wikipedia).

I’m not supposed to drink milk currently, so I'm having caffè americano rather than cappuccino. I’ve got to say, it helps a lot to think of it not as “espresso with hot water” but as “a drink that retains the complex flavors of espresso, but in a lighter way” (Wikipedia).

Perhaps the most interesting thing about the Nacirema people is their insistence that they do not participate in practices of which they clearly do. Equally unusual is the fact that, unlike other sacrificial cultures who raid neighboring tribes for victims, both slaves and victims for human sacrifice are only taken from within the society. In fact, there is a very strong cultural taboo against sacrificing or enslaving those from other tribes.
They are aware of the rituals of human sacrifice in other tribes, but claim such rituals to be inconsistent with their society. Yet their human sacrifice rituals are some of the most elaborate in the world. These rituals are so important that there is a whole part of Nacirema society dedicated specifically to arguing about who should and should not be sacrificed, restraining and feeding the potential victims for the years during which these arguments take place, and ultimately preparing and administering the ritual poison.
This is strangely similar to their approach to slavery. Both human sacrifice and slavery were once a much larger part of Nacirema society. Their human sacrifice rituals now take far longer and happen far less often, but at no point have they ever recognized these ritual sacrifices as such. Meanwhile, the Nacirema do acknowledge that slavery was part of their culture once. During the time when they did recognize their practice of slavery, they did raid other tribes for slaves. Now they follow the same complex ritual for slavery as they do for human sacrifice.
It is strange that, by following this ritual and only choosing victims from within their society, they seem to become incapable of seeing their behavior for what it is.

Covert Waveform Design for Integrated Sensing and Communication System in Clutter Environment
Xuyang Zhao, Jiangtao Wang, Xinyu Zhang
https://arxiv.org/abs/2510.10563 https://…

Covert Waveform Design for Integrated Sensing and Communication System in Clutter Environment
This paper proposes an integrated sensing and communication (ISAC) system covert waveform design method for complex clutter environments, with the core objective of maximizing the signal-to-clutter-plus-noise ratio (SCNR). The design achieves efficient clutter suppression while meeting the covertness requirement through joint optimization of the transmit waveform and receive filter, enabling cooperative radar detection and wireless communication. This study presents key innovations that explici…

Acetrans: An Autonomous Corridor-Based and Efficient UAV Suspended Transport System
Weiyan Lu, Huizhe Li, Yuhao Fang, Zhexuan Zhou, Junda Wu, Yude Li, Youmin Gong, Jie Mei
https://arxiv.org/abs/2509.10349

Acetrans: An Autonomous Corridor-Based and Efficient UAV Suspended Transport System
Unmanned aerial vehicles (UAVs) with suspended payloads offer significant advantages for aerial transportation in complex and cluttered environments. However, existing systems face critical limitations, including unreliable perception of the cable-payload dynamics, inefficient planning in large-scale environments, and the inability to guarantee whole-body safety under cable bending and external disturbances. This paper presents Acetrans, an Autonomous, Corridor-based, and Efficient UAV suspende…

The Cardinals are 2-0, so why does it feel so uneasy after their win over Carolina? https://www.nytimes.com/athletic/6629796/2025/09/14/arizona-cardinals-beat-carolina-panthers-2-0/

The rings of (2060) Chiron: Evidence of an evolving system
C. L. Pereira, F. Braga-Ribas, B. Sicardy, R. Leiva, M. Assafin, B. E. Morgado, J. L. Ortiz, P. Santos-Sanz, J. I. B. Camargo, G. Margoti, Y. Kilic, G. Benedetti-Rossi, R. Vieira-Martins, T. F. L. L. Pinheiro, R. Sfair, F. L. Rommel, A. R. Gomes-J\'unior, R. C. Boufleur, R. Duffard, J. Desmars, D. Souami, N. Morales, F. Arrese, K. Barkaoui, A. Burdanov, C. A. Colazo, C. A. Domingues, H. Dutra, R. C. Gargalhone, C. Jacques, …

The rings of (2060) Chiron: Evidence of an evolving system
The centaur (2060) Chiron has long been a candidate for hosting material in orbit, based on occultation and photometric and spectroscopic data. Here, we present a multichord stellar occultation observed on 2023 September 10 UT that reveals new and complex structures surrounding Chiron. High-cadence light curves show multiple secondary events that are best explained (when compared with a multishell interpretation) with a system of three confined rings located at average radii of 273, 325, and 43…

Exact Classicalization of N-Level Quantum Systems Interacting with a Bath: Theory and Applications
Daniel Mart\'inez-Gil, Pedro Bargue\~no, Salvador Miret-Art\'es
https://arxiv.org/abs/2509.10131

Exact Classicalization of N-Level Quantum Systems Interacting with a Bath: Theory and Applications
In this manuscript, starting from a five-step algorithmic procedure for exactly classicalizing the dynamics of N-level quantum systems, we incorporate a classical bath of harmonic oscillators to model environmental interactions. Using the geometry of complex projective spaces CP(N-1) and a Langevin formalism, we obtain N-1 Hamilton's equations which encode both the quantum system and the bath degrees of freedom, representing a generalization of the Caldeira-Legget model in a complex projective …

🍆 A Hermetic, Transparent Soft Growing Vine Robot System for Pipe Inspection
#robots #machine

A Hermetic, Transparent Soft Growing Vine Robot System for Pipe Inspection
Rehabilitation of aging pipes requires accurate condition assessment and mapping far into the pipe interiors. Soft growing vine robot systems are particularly promising for navigating confined, sinuous paths such as in pipes, but are currently limited by complex subsystems and a lack of validation in real-world industrial settings. In this paper, we introduce the concept and implementation of a hermetic and transparent vine robot system for visual condition assessment and mapping within non-bra…

Literate Tracing
Matthew Sotoudeh
https://arxiv.org/abs/2510.09073 https://arxiv.org/pdf/2510.09073

Literate Tracing
As computer systems grow ever larger and more complex, a crucial task in software development is for one person (the system expert) to communicate to another (the system novice) how a certain program works. This paper reports on the author's experiences with a paradigm for program documentation that we call literate tracing. A literate trace explains a software system using annotated, concrete execution traces of the system. Literate traces complement both in-code comments (which often lack glo…

Aixel: A Unified, Adaptive and Extensible System for AI-powered Data Analysis
Meihui Zhang, Liming Wang, Chi Zhang, Zhaojing Luo
https://arxiv.org/abs/2510.12642 https://…

Aixel: A Unified, Adaptive and Extensible System for AI-powered Data Analysis
A growing trend in modern data analysis is the integration of data management with learning, guided by accuracy, latency, and cost requirements. In practice, applications draw data of different formats from many sources. In the meanwhile, the objectives and budgets change over time. Existing systems handle these applications across databases, analysis libraries, and tuning services. Such fragmentation leads to complex user interaction, limited adaptability, suboptimal performance, and poor exte…

I-DCCRN-VAE: An Improved Deep Representation Learning Framework for Complex VAE-based Single-channel Speech Enhancement
Jiatong Li, Simon Doclo
https://arxiv.org/abs/2510.12485 …

I-DCCRN-VAE: An Improved Deep Representation Learning Framework for Complex VAE-based Single-channel Speech Enhancement
Recently, a complex variational autoencoder (VAE)-based single-channel speech enhancement system based on the DCCRN architecture has been proposed. In this system, a noise suppression VAE (NSVAE) learns to extract clean speech representations from noisy speech using pretrained clean speech and noise VAEs with skip connections. In this paper, we improve DCCRN-VAE by incorporating three key modifications: 1) removing the skip connections in the pretrained VAEs to encourage more informative speech…

Grid-forming Control of Converter Infinite Bus System: Modeling by Data-driven Methods
Amir Bahador Javadi, Philip Pong
https://arxiv.org/abs/2510.09411 https://

Grid-forming Control of Converter Infinite Bus System: Modeling by Data-driven Methods
This study explores data-driven modeling techniques to capture the dynamics of a grid-forming converter-based infinite bus system, critical for renewable-integrated power grids. Using sparse identification of nonlinear dynamics and deep symbolic regression, models were generated from synthetic data simulating key disturbances in active power, reactive power, and voltage references. Deep symbolic regression demonstrated more accuracy in capturing complex system dynamics, though it required subst…

A study of ferronematic thin films including a stray field energy
Shilpa Dutta, James Dalby, Apala Majumdar, Anja Schl\"omerkemper
https://arxiv.org/abs/2509.10442 https://…

A study of ferronematic thin films including a stray field energy
Ferronematic materials are colloidal suspensions of magnetic particles in liquid crystals. They are complex materials with potential applications in display technologies, sensors, microfluidics devices, etc. We consider a model for ferronematics in a 2D domain with a variational approach. The proposed free energy of the ferronematic system depends on the Landau-de Gennes (LdG) order parameter $\mathbf{Q}$ and the magnetization $\mathbf{M}$, and incorporates the complex interaction between the l…

Directly Mapping Interacting Components to Complex Systems' Emergent Properties
Lina Yan, Jeffrey Huy Khong, Aleksandar Kostadinov, Wen-Jun Chen, Jerry Ying Hsi Fuh, Chih-Ming Ho
https://arxiv.org/abs/2510.10881

Directly Mapping Interacting Components to Complex Systems' Emergent Properties
Emergent behavior in complex systems arises from nonlinear interactions among components, yet the intricate nature of self-organization often obscures the underlying causal relationships, long regarded as the "holy grail" of complexity research. To address this challenge, we adopted an inductive, mechanism-agnostic approach to characterize how diseased biological systems respond to therapeutic interventions, leading to the discovery of the Complex System Response (CSR) equation, a deterministic…

collins_yeast: Collins yeast interactome (2007)
Network of protein-protein interactions in Saccharomyces cerevisiae (budding yeast), measured by co-complex associations identified by high-throughput affinity purification and mass spectrometry (AP/MS).
This network has 1622 nodes and 9070 edges.
Tags: Biological, Protein interactions, Unweighted

Model-agnostic post-hoc explainability for recommender systems
Irina Ar\'evalo, Jose L Salmeron
https://arxiv.org/abs/2509.10245 https://arxiv.org/pdf/…

Model-agnostic post-hoc explainability for recommender systems
Recommender systems often benefit from complex feature embeddings and deep learning algorithms, which deliver sophisticated recommendations that enhance user experience, engagement, and revenue. However, these methods frequently reduce the interpretability and transparency of the system. In this research, we develop a systematic application, adaptation, and evaluation of deletion diagnostics in the recommender setting. The method compares the performance of a model to that of a similar model tr…

Grid Restoration Under Uncertainty Considering Coupled Transportation-Power Networks
Harshal D. Kaushik, Roshni Anna Jacob, Souma Chowdhury, Jie Zhang
https://arxiv.org/abs/2510.10399

Grid Restoration Under Uncertainty Considering Coupled Transportation-Power Networks
A stochastic mixed-integer programming model is developed to address the power distribution system repair and restoration following failures caused by extreme events such as natural disasters. This model addresses the complex challenge of efficiently assigning and dispatching repair crews to minimize both downtime and the extent of outages, following the crew sequence constraints. By incorporating a realistic transportation network, our model accounts for uncertainties in repair times, repair d…

Fundamentals of Building Autonomous LLM Agents
Victor de Lamo Castrillo, Habtom Kahsay Gidey, Alexander Lenz, Alois Knoll
https://arxiv.org/abs/2510.09244 https://

Fundamentals of Building Autonomous LLM Agents
This paper reviews the architecture and implementation methods of agents powered by large language models (LLMs). Motivated by the limitations of traditional LLMs in real-world tasks, the research aims to explore patterns to develop "agentic" LLMs that can automate complex tasks and bridge the performance gap with human capabilities. Key components include a perception system that converts environmental percepts into meaningful representations; a reasoning system that formulates plans, adapts t…

Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Vascular Networks
Timo Jakumeit, Bastian Heinlein, Leonie Richter, Sebastian Lotter, Robert Schober, Maximilian Sch\"afer
https://arxiv.org/abs/2510.11743

Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Vascular Networks
Synthetic molecular communication (MC) in the cardiovascular system (CVS) is a key enabler for many envisioned medical applications in the human body, such as targeted drug delivery, early cancer detection, and continuous health monitoring. The design of MC systems for such applications requires suitable models for the signaling molecule propagation through complex vessel networks (VNs). Existing theoretical models offer limited analytical tractability and lack closed-form solutions, making the…

The #iQ2300 expedition has actually been in the field a couple of weeks already - you can follow our progress and all the complex logistics around working #Antarctica as well as the joys and problems of #Fieldwork on the expedition blog:
https://www.polar.se/en/expeditions/iq2300-202526/

We've updated the What Uses More app to reflect last week's finding by Luccioni and Gamazaychikov that "reasoning" mode increases energy and water usage by 30x. The study casts doubt on the improved efficiency AI companies are claiming for newer models
https://www.

Low Reynolds number flow in a packed bed of rotated bars
Wojciech Sadowski, Christin Velten, Maximilian Br\"ommer, Hakan Demir, Kerstin H\"ulz, Francesca di Mare, Katharina Z\"ahringer, Viktor Scherer
https://arxiv.org/abs/2510.12571

Low Reynolds number flow in a packed bed of rotated bars
The present study focuses on the gas flow through an experiment-scale modular packed bed reactor consisting of square bars, arranged in layers. Each layer is rotated by $30^\circ$ resulting in a complex shape of the void spaces between the bars. Particle Image Velocimetry measurement results inside and on top of the studied system are presented for particle-based Reynolds numbers of 100 and 200, and used as validation data for two sets of particle-resolved numerical simulations, using boundary …

AgenticAD: A Specialized Multiagent System Framework for Holistic Alzheimer Disease Management
Adib Bazgir, Amir Habibdoust, Xing Song, Yuwen Zhang
https://arxiv.org/abs/2510.08578

AgenticAD: A Specialized Multiagent System Framework for Holistic Alzheimer Disease Management
Alzheimer's disease (AD) presents a complex, multifaceted challenge to patients, caregivers, and the healthcare system, necessitating integrated and dynamic support solutions. While artificial intelligence (AI) offers promising avenues for intervention, current applications are often siloed, addressing singular aspects of the disease such as diagnostics or caregiver support without systemic integration. This paper proposes a novel methodological framework for a comprehensive, multi-agent system…

Crosslisted article(s) found for cs.PL. https://arxiv.org/list/cs.PL/new
[1/1]:
- Hound: Relation-First Knowledge Graphs for Complex-System Reasoning in Security Audits
Bernhard Mueller
…

Determining codimension of Bogdanov-Takens and Bautin bifurcations via simplest normal form computation
Pei Yu, Yanni Zeng, Maoan Han
https://arxiv.org/abs/2510.10006 https://…

Determining codimension of Bogdanov-Takens and Bautin bifurcations via simplest normal form computation
In solving real-world problems, determining the codimension of Bogdanov-Takens (BT) and Bautin (generalized Hopf) bifurcations can be very challenging, even for simple two-dimensional dynamical systems. This difficulty becomes particularly evident when the number of system parameters exceeds the codimension of the bifurcations. Such challenges are closely linked to analyzing complex dynamics, such as the bifurcation of multiple limit cycles and homoclinic/heteroclinic bifurcations. In this pape…

I'm no fan of the the U.S. prison industrial complex or its justice system, but I can't help but think how much better the world would be now if they'd just locked Tim Allen away for life all those years ago

Day 18: Mark Oshiro
Having just learned that Oshiro is nonbinary, they're an instant include on this list. In veering extremely heavily towards YA, and losing a spot that would have gone to an absolutely legendary mangaka, anime writer, or feminist philosopher, but "Anger is A Gift" and "Each of us a Desert" are just that good, and I'm trying to steer a bit towards towards lesser-known authors I respect.
I already mentioned "Anger is a Gift" above, but to recap, it's a painful, vivid, and beautifully honest story of queer love, loss, and protest against an oppressive system. CW for racist police murder, intergenerational trauma, and police brutality against highschool students. It's a book a lot of Americans could benefit from reading right now, and while it's fiction, it's not fantasy or sci-fi. Besides the themes and politics, the writing is just really solid, with delicate characterization and tight-plotted developments that are beautifully paced.
To me "Each of us a Desert" is maybe even more beautiful, and Oshiro leaps into a magnificent fantasy world that's richly original in its desolation, dark history, lonely characters, and mythical magic. Particularly the clearly-not-just-superscription but ambiguously-important/powerful magical elements of Oshiro's worldbuilding are a rare contrast to the usual magic-is-real-here's-how-it-works fare, and pulling that off a all as they do is a testament to their craft. The prose is wonderful, probably especially so if you speak Spanish, but I enjoyed it immensely despite only knowing a few words here and there. The rich interiority of the characters, their conflicts both with each other and within themselves, and the juxtaposition of all that against origins in cult-like ignorance allows for the delivery of a lot of wisdom and complex truths.
Between these two books, so different and yet each so powerful, Oshiro has demonstrated incredible craft and also a wide range of styles, so I'm definitely excited to read more of their work and to recommend them to others.
I'm also glad to have finally put a nonbinary author on this list; the others I had in mind won't make it at this point because there's too much genre overlap, although I'll include them in my didn't-make-it list at the end. I've now got just 2 slots left and have counted up 14 more authors that absolutely need to be mentioned, so we'll see what happens.
#20AuthorsNoMen

Machine Learning-Integrated Hybrid Fluid-Kinetic Framework for Quantum Electrodynamic Laser Plasma Simulations
Sadra Saremi, Amirhossein Ahmadkhan Kordbacheh
https://arxiv.org/abs/2510.11174

Machine Learning-Integrated Hybrid Fluid-Kinetic Framework for Quantum Electrodynamic Laser Plasma Simulations
High-intensity laser plasma interactions create complex computational problems because they involve both fluid and kinetic regimes, which need models that maintain physical precision while keeping computational speed. The research introduces a machine learning-based three-dimensional hybrid fluid-particle-in-cell (PIC) system, which links relativistic plasma behavior to automatic regime transitions. The technique employs fluid approximations for stable areas but activates the PIC solver when Sw…

Ultrafast optical gating in a nonlinear lithium niobate microcavity
Ouri Karni, Chirag Vaswani, Thibault Chervy
https://arxiv.org/abs/2510.11965 https://ar…

Ultrafast optical gating in a nonlinear lithium niobate microcavity
Recent advances in optical simulation and computational techniques have renewed interest in high-finesse optical cavities for applications such as enhancing light-matter interactions, engineering complex photonic band structures, and storing quantum information. However, the extended interaction times enabled by these cavities often come at the cost of slow optical read-out protocols and limited control over system transients. To address this challenge, we demonstrate an ultrafast intra-cavity …

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
Cheng Qian, Zuxin Liu, Shirley Kokane, Akshara Prabhakar, Jielin Qiu, Haolin Chen, Zhiwei Liu, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
https://arxiv.org/abs/2510.08439

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning
Modern LLM deployments confront a widening cost-performance spectrum: premium models deliver strong reasoning but are expensive, while lightweight models are economical yet brittle on complex tasks. Static escalation rules and keyword heuristics under-utilize this spectrum and fail to adapt across task types. We present xRouter, a tool-calling-based routing system in which a learned router can either answer directly or invoke one or more external models. The router is trained end-to-end with re…

I didn't realize how many lucky coincidences lead to our robust electoral system - great yarn, should be required reading by those who don't study civics.
https://www.abc.net.au/news/2025-11-09/civic-duty-compulsory-preferen…

Australia's democratic system is unlike any other on Earth
Behind the quirks of Australia's incredible democratic system are a series of complex human backstories.

inside your genitalia's a complex network of tunnels and simple machines and gnomes who keep it all running and have little nooks in the tunnel sides to duck into independence day-style whenever ur fluids come thru

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 …

The resilience of the sailboat stable region
Rafael Sfair, Tiago F. L. L. Pinheiro, Giovana Ramon, Ernesto Vieira
https://arxiv.org/abs/2510.11855 https://…

The resilience of the sailboat stable region
Binary systems host complex orbital dynamics where test particles can occupy stable regions despite strong gravitational perturbations. The sailboat region, discovered in the Pluto-Charon system, allows highly eccentric S-type orbits at intermediate distances between the two massive bodies. This region challenges traditional stability concepts by supporting eccentricities up to 0.9 in a zone typically dominated by chaotic motion. We investigate the sailboat region's existence and extent across …

Structured identification of multivariable modal systems
Maarten van der Hulst, Rodrigo A. Gonz\'alez, Koen Classens, Paul Tacx, Nick Dirkx, Jeroen van de Wijdeven, Tom Oomen
https://arxiv.org/abs/2510.10820

Structured identification of multivariable modal systems
Physically interpretable models are essential for next-generation industrial systems, as these representations enable effective control, support design validation, and provide a foundation for monitoring strategies. The aim of this paper is to develop a system identification framework for estimating modal models of complex multivariable mechanical systems from frequency response data. To achieve this, a two-step structured identification algorithm is presented, where an additive model is first …

🔥 Technology on the front line: a robotic complex saved a Ukrainian serviceman! #shorts: https://benborges.xyz/2025/11/06/technology-on-the-front-line.html

Quantitative Linear Stability Analysis of Elliptic Relative Equilibria in the Planar N-Body Problem
Xijun Hu, Yuwei Ou, Jiexin Sun
https://arxiv.org/abs/2509.09809 https://

Quantitative Linear Stability Analysis of Elliptic Relative Equilibria in the Planar N-Body Problem
An elliptic relative equilibrium (ERE) is a special solution of the planar $N$-body problem generated by a central configuration. Its linear stability depends on the eccentricity $e$ and the masses of the bodies. However, for $e>0$, the variational equations become non-autonomous and highly complex, particularly near $e=1$, where the system exhibits a singularity. This complicates the stability analysis as $e$ approaches one, making it challenging to derive a rigorous quantitative estimate for …

A body made entirely of head-like organs
Using state-of-the-art single-cell and gene expression analyses, the researchers mapped the cell types of young post-metamorphic sea urchins.
They found that the adult body plan is largely "head-like."
Genes that in other animals define trunk structures are active only in internal organs such as the gut and the water vascular system.
In sea urchins, a true trunk region is missing altogether.
An 'all-body brain&…

Researchers discover an 'all-body brain' in sea urchins
An international team of researchers, including scientists from the Museum für Naturkunde Berlin, has uncovered a surprisingly complex nervous system in sea urchins. The animals appear to possess an "all-body brain" whose genetic organization resembles that of the vertebrate brain. The team also identified light-sensitive cells distributed across the entire body—comparable to structures found in the human retina.

Automating Structural Engineering Workflows with Large Language Model Agents
Haoran Liang, Yufa Zhou, Mohammad Talebi Kalaleh, Qipei Mei
https://arxiv.org/abs/2510.11004 https:/…

Automating Structural Engineering Workflows with Large Language Model Agents
We introduce $\textbf{MASSE}$, the first Multi-Agent System for Structural Engineering, effectively integrating large language model (LLM)-based agents with real-world engineering workflows. Structural engineering is a fundamental yet traditionally stagnant domain, with core workflows remaining largely unchanged for decades despite its substantial economic impact and global market size. Recent advancements in LLMs have significantly enhanced their ability to perform complex reasoning, long-hori…

Enhancing Automotive Security with a Hybrid Approach towards Universal Intrusion Detection System
Md Rezanur Islam, Mahdi Sahlabadi, Keunkyoung Kim, Kangbin Yim
https://arxiv.org/abs/2510.05824

Enhancing Automotive Security with a Hybrid Approach towards Universal Intrusion Detection System
Security measures are essential in the automotive industry to detect intrusions in-vehicle networks. However, developing a one-size-fits-all Intrusion Detection System (IDS) is challenging because each vehicle has unique data profiles. This is due to the complex and dynamic nature of the data generated by vehicles regarding their model, driving style, test environment, and firmware update. To address this issue, a universal IDS has been developed that can be applied to all types of vehicles wit…

Microstructure and phase stability within the AlMoNbTiZr system: design tools and compositional boundaries for a high-entropy alloy
Mariano Casas-Luna, Dalibor Preisler, Ji\v{r}\'i Kozl\'ik, Josef Str\'ask\'y
https://arxiv.org/abs/2510.08417

Microstructure and phase stability within the AlMoNbTiZr system: design tools and compositional boundaries for a high-entropy alloy
This study explores Ti-containing complex concentrated alloys (CCAs) within the AlMoNbTiZr system, focusing on compositions located in regions of the Bo-Md diagram characterized by low bond order (Bo) and d-orbital energy level (Md). Four alloys were designed near the line predicting stress-induced martensite formation in conventional Ti alloys, then cast, annealed at 1200°C, and water quenched. Their microstructures and phases were analyzed and compared against phase prediction tools commonly…

EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
Zirui Liao
https://arxiv.org/abs/2510.08958 https://arxiv.org/pdf/2510.08958

EcphoryRAG: Re-Imagining Knowledge-Graph RAG via Human Associative Memory
Cognitive neuroscience research indicates that humans leverage cues to activate entity-centered memory traces (engrams) for complex, multi-hop recollection. Inspired by this mechanism, we introduce EcphoryRAG, an entity-centric knowledge graph RAG framework. During indexing, EcphoryRAG extracts and stores only core entities with corresponding metadata, a lightweight approach that reduces token consumption by up to 94\% compared to other structured RAG systems. For retrieval, the system first ex…

Mathematical basis, phase transitions and singularities of (3 1)-dimensional phi4 scalar field model
Zhidong Zhang
https://arxiv.org/abs/2511.07439 https://arxiv.org/pdf/2511.07439 https://arxiv.org/html/2511.07439
arXiv:2511.07439v1 Announce Type: new
Abstract: The lambda phi4 scalar field model that can be applied to interpret pion-pion scattering and properties of hadrons. In this work, the mathematical basis, phase transitions and singularities of a (3 1)-dimensional (i.e., (3 1)D) phi4 scalar field model are investigated. It is found that as a specific example of topological quantum field theories, the (3 1)D phi4 scalar field model must be set up on the Jordan-von Neumann-Wigner framework and dealt with the parameter space of complex time (or complex temperature). The use of the time average and the topologic Lorentz transformation representing Reidemeister moves ensure the integrability, which takes into account for the contributions of nontrivial topological structures to physical properties of the many-body interacting system. The ergodic hypothesis is violated at finite temperatures in the (3 1)D phi4 scalar field model. Because the quantum field theories with ultraviolet cutoff can be mapped to the models in statistical mechanics, the (3 1)D phi4 scalar field model with ultraviolet cutoff is studied by inspecting its relation with the three-dimensional (3D) Ising model. Furthermore, the direct relation between the coupling K in the 3D Ising model and the bare coupling lambda0 in the (3 1)D phi4 scalar field model is determined in the strong coupling limit. The results obtained in the present work can be utilized to investigate thermodynamic physical properties and critical phenomena of quantum (scalar) field theories.
toXiv_bot_toot

Day 16: Mayra Cuevas & Marie Marquardt
Okay so this is cheating, but they're co-authors of multiple books together, and there's no way for me to separate their contributions... I've already got too many authors I'd like to list, so why not?
I read their book "Does My Body Offend You?" and absolutely loved it; it's a celebration of teen activism while also being a deep exploration of feminist issues through practical situations that bring out the complicated side of things, which the authors refuse to reduce back to a simple formulaic answer. It has a supporting cast of appropriately-complex male characters that help in exploring the nuances of issues like the line between female empowerment & male gratification, and it brings race and macho culture into the conversion as well.
CW for sexual harassment & deep discussion of the resultant trauma.
I'll cheat again here to sneak in mention of two male authors whose work resonates with theirs: Mark Oshiro's "Anger is a Gift" has a more pessimistic/complex take on teen activism along with a gay romance (CW for racist cop murder), while Jeremy Whitley's graphic novel "Navigating With You" deals with queer romance & disability, while having a main character pairing that echoes those from "Does My Body Offend You?" in a lot of ways. Another connection (to non-men authors this time) is with "Go With the Flow" by Lily Williams and Karen Schneemann. Their graphic novel about teen activism and periods is a bit more didactic and has a much lighter tone, but it does necessarily have some overlapping themes.
To bring it back to Cuevas & Marquhardt, their writing is great and their ability to discuss such complex topics with such nuance, all wrapped up in a story that feels completely natural, is amazing to me, and makes their book feel like one of the most valuable to recommend to others.
In writing this I've realized a grave oversight in the list so far that I'll have to correct tomorrow, but I'm quickly running out of days. The didn't-quite-make-it list is going to be full of more excellent authors, and I'm honestly starting to wonder whether it might actually be harder to name 20 male authors I respect now that I've found the sense to be mostly somewhere between disgusted and disappointed with so many of the male authors I enjoyed as a teen.
#20AuthorsNoMen (cheating a bit)

I think we can actually prove that this constraint is the *only* constraint that can preserve freedom:
1. There will exist actors in a system who will wish to take advantage of others. Evolution drives survival and one strategy for increasing survival in an altruistic society is to become a parasite.
2. Expecting exploitative dynamics, a system needs to have a set of rules to manage exploitation.
3. If the set of rules is static it will lack the requisite variety necessary to manage the infinite possible behavior of humans so the system will fail.
4. If the system is dynamic then it must have a rule set about how it's own rules are updated. This would make the system recursive, which makes the system at least as complex as mathematics. Any system at least as complex as mathematics is necessarily either incomplete or inconsistent (Gödel's incompleteness theorem). If the system is incomplete, then constraints can be evaded which then allow a malicious agent to seize control of the system and update the rules for their own benefit. If constraints are incomplete, then a malicious agent can take advantage of others within the system.
5. Therefore, no social system can possibly protect freedom unless there exists a single metasystemic constraint (that the system must be optional) allowing for the system to be abandoned when compromised.
Oh, you might say, but this just means you have to infinitely abandon systems. Sure, but there's an evolutionary advantage to cooperation so there's evolutionary pressure to *not* be a malicious actor. So a malicious actor being able to compromise the whole system is likely to be a much more rare event. Compromising a system is a lot of work, so the first thing a malicious actor would want to do is preserve that work. They would want to lock you in. The most important objective to a malicious actor compromising a system would be to violate that metasystemic constraint, or all of their work goes out the window when everyone leaves.
And now you understand why borders exist, why fascists are obsessed with maintaining categories like gender, race, ethnicity, etc. This is why even Democrats like Newsom are on board with putting houseless people in concentration camps. And this is why the most important thing anarchists promote is the ability to choose not to be part of any of that.

I wrote a blog post about the often stated but never explained assumption that communities in graphs should always be connected.
This “connected cluster axiom” is inconsistent with statistical significance and null models that underlie the most widely employed methods.
https://skewed.de/lab/posts/connected-

Direct Data-Driven Predictive Control for a Three-dimensional Cable-Driven Soft Robotic Arm
Cheng Ouyang, Moeen Ul Islam, Dong Chen, Kaixiang Zhang, Zhaojian Li, Xiaobo Tan
https://arxiv.org/abs/2510.08953

Direct Data-Driven Predictive Control for a Three-dimensional Cable-Driven Soft Robotic Arm
Soft robots offer significant advantages in safety and adaptability, yet achieving precise and dynamic control remains a major challenge due to their inherently complex and nonlinear dynamics. Recently, Data-enabled Predictive Control (DeePC) has emerged as a promising model-free approach that bypasses explicit system identification by directly leveraging input-output data. While DeePC has shown success in other domains, its application to soft robots remains underexplored, particularly for thr…

RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
Aofan Liu, Haoxuan Li, Bin Wang, Ao Yang, Hui Li
https://arxiv.org/abs/2510.08665 htt…

RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution
Code generation models based on large language models (LLMs) have gained wide adoption, but challenges remain in ensuring safety, accuracy, and controllability, especially for complex tasks. Existing methods often lack dynamic integration of external tools, transparent reasoning, and user control over safety. To address these issues, we propose a controllable code generation framework utilizing the ReAct paradigm for multi-agent task execution. This framework is a multi-agent system designed to…

Policy Robustness & Uncertainty in Model-based Decision Support for the Energy Transition
Ian J. Burton, Femke J. M. M. Nijsse, James M. Salter
https://arxiv.org/abs/2510.11177

Policy Robustness & Uncertainty in Model-based Decision Support for the Energy Transition
Climate policy modelling is a key tool for assessing mitigation strategies in complex systems and uncertainty is inherent and unavoidable. We present a general methodology for extensive uncertainty analysis in climate policy modelling. We show how emulators can identify key uncertainties in modelling frameworks and enable policy analysis previously restricted by computational cost. We apply this methodology to FTT:Power to explore uncertainties in the electricity system transition both globally…

collins_yeast: Collins yeast interactome (2007)
Network of protein-protein interactions in Saccharomyces cerevisiae (budding yeast), measured by co-complex associations identified by high-throughput affinity purification and mass spectrometry (AP/MS).
This network has 1622 nodes and 9070 edges.
Tags: Biological, Protein interactions, Unweighted

The Interplay of Attention and Memory in Visual Enumeration
B. Sankar, Devottama Sen, Dibakar Sen
https://arxiv.org/abs/2510.05833 https://arxiv.org/pdf/25…

The Interplay of Attention and Memory in Visual Enumeration
Humans navigate and understand complex visual environments by subconsciously quantifying what they see, a process known as visual enumeration. However, traditional studies using flat screens fail to capture the cognitive dynamics of this process over the large visual fields of real-world scenes. To address this gap, we developed an immersive virtual reality system with integrated eye-tracking to investigate the interplay between attention and memory during complex enumeration. We conducted a tw…

A Structural Theory of Quantum Metastability: Markov Properties and Area Laws
Thiago Bergamaschi, Chi-Fang Chen, Umesh Vazirani
https://arxiv.org/abs/2510.08538 https://

A Structural Theory of Quantum Metastability: Markov Properties and Area Laws
Statistical mechanics assumes that a quantum many-body system at low temperature can be effectively described by its Gibbs state. However, many complex quantum systems exist only as metastable states of dissipative open system dynamics, which appear stable and robust yet deviate substantially from true thermal equilibrium. In this work, we model metastable states as approximate stationary states of a quasi-local, (KMS)-detailed-balanced master equation representing Markovian system-bath interac…

Characterizing Agent-Based Model Dynamics via $\epsilon$-Machines and Kolmogorov-Style Complexity
Roberto Garrone (University of Milano-Bicocca)
https://arxiv.org/abs/2510.12729

Characterizing Agent-Based Model Dynamics via $ε$-Machines and Kolmogorov-Style Complexity
We propose a two-level information-theoretic framework for characterizing the informational organization of Agent-Based Model (ABM) dynamics within the broader paradigm of Complex Adaptive Systems (CAS). At the macro level, a pooled $ε$-machine is reconstructed as a reference model that summarizes the system-wide informational regime. At the micro level, $ε$-machines are reconstructed for each caregiver-elder dyad and variable, and are complemented with algorithm-agnostic Kolmogorov-style mea…

Introducing Claude Sonnet 4.5
#LLM

Repairing Regex Vulnerabilities via Localization-Guided Instructions
Sicheol Sung, Joonghyuk Hahn, Yo-Sub Han
https://arxiv.org/abs/2510.09037 https://arxi…

Repairing Regex Vulnerabilities via Localization-Guided Instructions
Regular expressions (regexes) are foundational to modern computing for critical tasks like input validation and data parsing, yet their ubiquity exposes systems to regular expression denial of service (ReDoS), a vulnerability requiring automated repair methods. Current approaches, however, are hampered by a trade-off. Symbolic, rule-based system are precise but fails to repair unseen or complex vulnerability patterns. Conversely, large language models (LLMs) possess the necessary generalizabili…

Nonlinear Public Goods Game in Dynamical Environments
Yishen Jiang, Xin Wang, Wenqiang Zhu, Ming Wei, Longzhao Liu, Shaoting Tang, Hongwei Zheng
https://arxiv.org/abs/2510.10259

Nonlinear Public Goods Game in Dynamical Environments
The evolutionary mechanisms of cooperative behavior represent a fundamental topic in complex systems and evolutionary dynamics. Although recent advances have introduced real-world stochasticity in nonlinear public goods game (PGG), such stochasticity remains static, neglecting its origin in the external environment as well as the coevolution of system stochasticity and cooperative behavior driven by environmental dynamics. In this work, we introduce a dynamic environment feedback mechanism into…

Anyone know anything about solidagent.io?
They appear to be an EU hosted AI agent - in the sense that they have the trained models on their own platforms, rather than using an API so presumably queries etc stay on their servers.
Their statements of #privacy etc look good and the test queries I posted (on quite complex #coding problems) were very impressive, but I don't think it's strictly FOSS otherwise.
Would be happy to hear if others have good/bad experience with them as they seem quite new.
https://www.solidagent.io/privacy

RFSoC receiver calibration system for 21-cm global spectrum experiments from space: The CosmoCube case
Jiacong Zhu, Eloy de Lera Acedo, Kaan Artuc, Xuelei Chen
https://arxiv.org/abs/2510.06558

RFSoC receiver calibration system for 21-cm global spectrum experiments from space: The CosmoCube case
The CosmoCube project plans to deploy a global 21-cm spectrometer with 10-100 MHz observation band in a lunar orbit. The farside part of such an orbit, i.e. the part of orbit behind the Moon, offers an ideal site for accurately measuring the 21-cm signal from the Dark Ages, Cosmic Dawn and Epoch of Reionization, as the effects of the Earth's ionosphere, artificial radio frequency interference (RFI), and complex terrain and soil are all avoided. Given the limitations of a satellite platform, we …

Time To Replace Your Filter: How Maplets Simplify System Design
Michael A. Bender, Alex Conway, Mart\'in Farach-Colton, Rob Johnson, Prashant Pandey
https://arxiv.org/abs/2510.05518

Time To Replace Your Filter: How Maplets Simplify System Design
Filters such as Bloom, quotient, and cuckoo filters are fundamental building blocks providing space-efficient approximate set membership testing. However, many applications need to associate small values with keys-functionality that filters do not provide. This mismatch forces complex workarounds that degrade performance. We argue that maplets-space-efficient data structures for approximate key-value mappings-are the right abstraction. A maplet provides the same space benefits as filters while …

Serial entrepreneur Hamed Bahmani on early-stage building in neurotech https://www.neurofounders.co/post/serial-entrepreneur-hamed-bahmani-on-early-stage-building-in-neurotech

Serial Entrepreneur Hamed Bahmani on Early-Stage Building in Neurotech
Few people dare to start a company, and even fewer attempt it in a technically complex field like neurotechnology. Yet Dr Hamed Bahmani has now done it three times. After launching a clinical-stage company focused on myopia and another targeting Alzheimer’s through the visual system, he is doubling down on complexity. His latest venture has just emerged out of stealth, but early hints suggest it draws on decades spent at the forefront of neuro-innovation.Born in Iran, Bahmani studied engineer…

Online Matching via Reinforcement Learning: An Expert Policy Orchestration Strategy
Chiara Mignacco, Matthieu Jonckheere, Gilles Stoltz
https://arxiv.org/abs/2510.06515 https://…

Online Matching via Reinforcement Learning: An Expert Policy Orchestration Strategy
Online matching problems arise in many complex systems, from cloud services and online marketplaces to organ exchange networks, where timely, principled decisions are critical for maintaining high system performance. Traditional heuristics in these settings are simple and interpretable but typically tailored to specific operating regimes, which can lead to inefficiencies when conditions change. We propose a reinforcement learning (RL) approach that learns to orchestrate a set of such expert pol…

GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation
Wen Ye, Zhaocheng Liu, Yuwei Gui, Tingyu Yuan, Yunyue Su, Bowen Fang, Chaoyang Zhao, Qiang Liu, Liang Wang
https://arxiv.org/abs/2510.07217

GenPilot: A Multi-Agent System for Test-Time Prompt Optimization in Image Generation
Text-to-image synthesis has made remarkable progress, yet accurately interpreting complex and lengthy prompts remains challenging, often resulting in semantic inconsistencies and missing details. Existing solutions, such as fine-tuning, are model-specific and require training, while prior automatic prompt optimization (APO) approaches typically lack systematic error analysis and refinement strategies, resulting in limited reliability and effectiveness. Meanwhile, test-time scaling methods opera…

Dissipative Generation of Currents by Nonreciprocal Local and Global Environments
Catalin-Mihai Halati
https://arxiv.org/abs/2510.07498 https://arxiv.org/p…

Dissipative Generation of Currents by Nonreciprocal Local and Global Environments
We investigate the mechanisms necessary for the stabilization of complex quantum correlations by exploring dissipative couplings to nonreciprocal reservoirs. We analyze the role of locality in the coupling to the environment of the quantum system of interest, as we consider either local couplings throughout the system, or a single global coupling. We contrast the results obtained for two scenarios in which a chain of strongly interacting hardcore bosonic atoms is coupled directly to Markovian k…

🔄 Built-in retry mechanism to handle database deadlocks automatically with configurable attempts
🎛️ Multiple database connection support for complex multi-database applications
⚙️ Requires #PHP 8.1 or higher and #Laravel 10.x or higher for installation
🔌 Simple installation via

Trickle-down Theorems via C-Lorentzian Polynomials II: Pairwise Spectral Influence and Improved Dobrushin's Condition
Jonathan Leake, Shayan Oveis Gharan
https://arxiv.org/abs/2510.06549

Trickle-down Theorems via C-Lorentzian Polynomials II: Pairwise Spectral Influence and Improved Dobrushin's Condition
Let $μ$ be a probability distribution on a multi-state spin system on a set $V$ of sites. Equivalently, we can think of this as a $d$-partite simplical complex with distribution $μ$ on maximal faces. For any pair of vertices $u,v\in V$, define the pairwise spectral influence $\mathcal{I}_{u,v}$ as follows. Let $σ$ be a choice of spins $s_w\in S_w$ for every $w\in V \setminus \{u,v\}$, and construct a matrix in $\mathbb{R}^{(S_u\cup S_v)\times (S_u\cup S_v)}$ where for any $s_u\in S_u, s_v\in…

A Digital Pheromone-Based Approach for In/Out-of-Control Classification
Pedro Pestana, M. F\'atima Brilhante
https://arxiv.org/abs/2510.07329 https://a…

A Digital Pheromone-Based Approach for In/Out-of-Control Classification
In complex production lines, it is essential to have strict, fast-acting rules to determine whether the system is In Control (InC) or Out of Control (OutC). This study explores a bio-inspired method that digitally mimics ant colony behavior to classify InC/OutC states and forecast imminent transitions requiring maintenance. A case study on industrial potato chip frying provides the application context. During each two-minute frying cycle, sequences of eight temperature readings are collected. E…

Engineering Emergence
Abel Jansma, Erik Hoel
https://arxiv.org/abs/2510.02649 https://arxiv.org/pdf/2510.02649

Engineering Emergence
One of the reasons complex systems are complex is because they have multiscale structure. How does this multiscale structure come about? We argue that it reflects an emergent hierarchy of scales that contribute to the system's causal workings. An example is how a computer can be described at the level of its hardware circuitry but also its software. But we show that many systems, even simple ones, have such an emergent hierarchy, built from a small subset of all their possible scales of descrip…

I've been playing a few of those Lego games (Lego Star Wars etc.) with my little one. It's fun though navigating 3D space while handling the camera is a lot for him (it _is_ not easy).
Sometimes I try to tell him where to go when he gets lost but it's really challenging to stay patient at times (because it's hard for him to translate the words into the complex actions necessary and because I don't want to do things for him while he's trying things). But it's…

We all know Trumpism is an illusion, a facade, a game. His cult is breaking down as they continue to be confronted with the ever widening divergence between their perceived reality and his claims. I feel as though Dawn of Everything provides a useful lens through which to both understand this and to dismantle the ritual violence this cult is carrying out. Perhaps we can even extend this to ourselves to disentangle ourselves from the cultish elements of capitalist modernity.
Authoritarianism itself is ultimately a complex illusion, thus this analysis, the recognition and dismantling of illusion, should inform all elements of those who wish to express anti-authoritarian resistance.
#USPol #50501 #NoKingsDay #Portland

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Wenxuan Wang, Kai Wu, Yujian Betterest Li, Dan Wang, Xiaoyu Zhang
https://arxiv.org/abs/2510.08445 http…

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Foundation models for time series analysis (TSA) have attracted significant attention. However, challenges such as training data scarcity and imbalance continue to hinder their development. Inspired by complex dynamic system theories, we design a series-symbol data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic expressions. To leverage series-symbol data pairs with strong correlations, we develop \texttt{SymTime}, a p…

Incidentally, the very nice schematic of cryosphere changes over both ice sheets was drawn by @… Tak! 🙏 for translating a complex topics into something I hope everyone can understand...
New paper out today in @nature Geosciences:
The Greenlandification of Antarctica
Readcube pdf: https://rdcu.be/eJiqJ

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software
Srijita Basu, Haraldsson Bengt, Miroslaw Staron, Christian Berger, Jennifer Horkoff, Magnus Almgren
https://arxiv.org/abs/2510.07941

An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software
Cooperative, Connected and Automated Mobility (CCAM) are complex cyber-physical systems (CPS) that integrate computation, communication, and control in safety-critical environments. At their core, System-on-Chip (SoC) platforms consolidate processing units, communication interfaces, AI accelerators, and security modules into a single chip. AUTOSAR (AUTomotive Open System ARchitecture) standard was developed in the automotive domain to better manage this complexity, defining layered software str…

Adolf Hitler, Jesse Owens and Berlin's Olympiastadion: The complicated history of an NFL venue https://www.nytimes.com/athletic/5559958/2025/11/07/nfl-falcons-colts-olympiastadion-final-berlin-history/

LegiScout: A Visual Tool for Understanding Complex Legislation
Aadarsh Rajiv, Klaus Mueller
https://arxiv.org/abs/2510.01195 https://arxiv.org/pdf/2510.011…

LegiScout: A Visual Tool for Understanding Complex Legislation
Modern legislative frameworks, such as the Affordable Care Act (ACA), often involve complex webs of agencies, mandates, and interdependencies. Government issued charts attempt to depict these structures but are typically static, dense, and difficult to interpret - even for experts. We introduce LegiScout, an interactive visualization system that transforms static policy diagrams into dynamic, force-directed graphs, enhancing comprehension while preserving essential relationships. By integrating…

ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments
Shuoqi Sun, Danula Hettiachchi, Damiano Spina
https://arxiv.org/abs/2510.07644 https://…

ISMIE: A Framework to Characterize Information Seeking in Modern Information Environments
The modern information environment (MIE) is increasingly complex, shaped by a wide range of techniques designed to satisfy users' information needs. Information seeking (IS) models are effective mechanisms for characterizing user-system interactions. However, conceptualizing a model that fully captures the MIE landscape poses a challenge. We argue: Does such a model exist? To address this, we propose the Information Seeking in Modern Information Environments (ISMIE) framework as a fundamental s…

collins_yeast: Collins yeast interactome (2007)
Network of protein-protein interactions in Saccharomyces cerevisiae (budding yeast), measured by co-complex associations identified by high-throughput affinity purification and mass spectrometry (AP/MS).
This network has 1622 nodes and 9070 edges.
Tags: Biological, Protein interactions, Unweighted

Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression
Nikolaos Stathoulopoulos, Christoforos Kanellakis, George Nikolakopoulos
https://arxiv.org/abs/2510.08512 ht…

Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression
Efficient transmission of 3D point cloud data is critical for advanced perception in centralized and decentralized multi-agent robotic systems, especially nowadays with the growing reliance on edge and cloud-based processing. However, the large and complex nature of point clouds creates challenges under bandwidth constraints and intermittent connectivity, often degrading system performance. We propose a deep compression framework based on semantic scene graphs. The method decomposes point cloud…

Nostrshire panel talking about Adam Curry's podcast2.0 , more tags in your podcast rss for payments, in the hope it can fund producers. Did you know besos takes 75 percent of all Audible money? Actors and writers sharing scraps from Amazon's table.
Hot news is that keysend tags are out of fashion and the bolt11 lnurl invoices are taking over.
Podcast platforms can be bridged through nostr to enable cross platform comments and discovery but making users create key pairs is to complex the fountainfm guy reckons. Wants to hide and shatter l abstract away that complexity.
#nostr #nostrshire #podcasting2.0

Bridging Clinical Narratives and ACR Appropriateness Guidelines: A Multi-Agent RAG System for Medical Imaging Decisions
Satrio Pambudi, Filippo Menolascina
https://arxiv.org/abs/2510.04969

Bridging Clinical Narratives and ACR Appropriateness Guidelines: A Multi-Agent RAG System for Medical Imaging Decisions
The selection of appropriate medical imaging procedures is a critical and complex clinical decision, guided by extensive evidence-based standards such as the ACR Appropriateness Criteria (ACR-AC). However, the underutilization of these guidelines, stemming from the difficulty of mapping unstructured patient narratives to structured criteria, contributes to suboptimal patient outcomes and increased healthcare costs. To bridge this gap, we introduce a multi-agent cognitive architecture that autom…

VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
Girolamo Oddo, Roberto Nuca, Matteo Parsani
https://arxiv.org/abs/2510.07447 https://arx…

VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
Developing a dynamic model for a high-performance vehicle is a complex problem that requires extensive structural information about the system under analysis. This information is often unavailable to those who did not design the vehicle and represents a typical issue in autonomous driving applications, which are frequently developed on top of existing vehicles; therefore, vehicle models are developed under conditions of information scarcity. This paper proposes a lightweight encoder-decoder mod…

Platform-Agnostic Modular Architecture for Quantum Benchmarking
Neer Patel, Anish Giri, Hrushikesh Pramod Patil, Noah Siekierski, Avimita Chatterjee, Sonika Johri, Timothy Proctor, Thomas Lubinski, Siyuan Niu
https://arxiv.org/abs/2510.08469

Platform-Agnostic Modular Architecture for Quantum Benchmarking
We present a platform-agnostic modular architecture that addresses the increasingly fragmented landscape of quantum computing benchmarking by decoupling problem generation, circuit execution, and results analysis into independent, interoperable components. Supporting over 20 benchmark variants ranging from simple algorithmic tests like Bernstein-Vazirani to complex Hamiltonian simulation with observable calculations, the system integrates with multiple circuit generation APIs (Qiskit, CUDA-Q, C…

Hope and imagination aren't just a nice things. Authoritarianism is rooted in doom. Authoritarianism is naturally unstable. It's naturally weak. It's extremely complex and fragile. Authoritarian regimes often collapse rapidly and catastrophically. They keep people pinned in place by removing hope. They heap trauma on their victims because trauma destroys hope and reduces creativity. So hope and imagination are the most powerful weapons against authoritarianism.
The regime tells you that things can only get worse. The regime needs you to believe it. They want you to fight on their terms, so they can pick you off, or to run or freeze, so they don't have to fight you at all. Authoritarianism must kill the creativity of it's victims, because authoritarianism has already killed it's own creativity. When you respond with hope and creativity, the system cannot adapt.
It is not simply that we should imagine what could be because we may have the opportunity to create it. It is that hope manifests the opportunity to create what we've imagined.

collins_yeast: Collins yeast interactome (2007)
Network of protein-protein interactions in Saccharomyces cerevisiae (budding yeast), measured by co-complex associations identified by high-throughput affinity purification and mass spectrometry (AP/MS).
This network has 1622 nodes and 9070 edges.
Tags: Biological, Protein interactions, Unweighted

PowerPlots: An Open Source Power Grid Visualization and Data Analysis Framework for Academic Research
Noah Rhodes
https://arxiv.org/abs/2510.05063 https://…

PowerPlots: An Open Source Power Grid Visualization and Data Analysis Framework for Academic Research
Data visualization is important for developing an understanding of a complex system. PowerPlots.jl is a data visualization tool for power grids, one of the most complex systems in the world. The design of PowerPlots.jl is intended to facilitate exploration of power grid data while performing research and to facilitate communication of research findings to an audience. Several tools created to support this software also facilitate analysis of power grid data by transforming the data into graph t…

Multi-View Camera System for Variant-Aware Autonomous Vehicle Inspection and Defect Detection
Yash Kulkarni, Raman Jha, Renu Kachhoria
https://arxiv.org/abs/2509.26454 https://

Multi-View Camera System for Variant-Aware Autonomous Vehicle Inspection and Defect Detection
Ensuring that every vehicle leaving a modern production line is built to the correct \emph{variant} specification and is free from visible defects is an increasingly complex challenge. We present the \textbf{Automated Vehicle Inspection (AVI)} platform, an end-to-end, \emph{multi-view} perception system that couples deep-learning detectors with a semantic rule engine to deliver \emph{variant-aware} quality control in real time. Eleven synchronized cameras capture a full 360° sweep of each vehi…

A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
Miha O\v{z}bot, Igor \v{S}krjanc, Vitomir \v{S}truc
https://arxiv.org/abs/2510.00960 https://

A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
In the complex landscape of multivariate time series forecasting, achieving both accuracy and interpretability remains a significant challenge. This paper introduces the Fuzzy Transformer (Fuzzformer), a novel recurrent neural network architecture combined with multi-head self-attention and fuzzy inference systems to analyze multivariate stock market data and conduct long-term time series forecasting. The method leverages LSTM networks and temporal attention to condense multivariate data into i…

Learning Stability Certificate for Robotics in Real-World Environments
Zhe Shen
https://arxiv.org/abs/2510.03123 https://arxiv.org/pdf/2510.03123

Learning Stability Certificate for Robotics in Real-World Environments
Stability certificates play a critical role in ensuring the safety and reliability of robotic systems. However, deriving these certificates for complex, unknown systems has traditionally required explicit knowledge of system dynamics, often making it a daunting task. This work introduces a novel framework that learns a Lyapunov function directly from trajectory data, enabling the certification of stability for autonomous systems without needing detailed system models. By parameterizing the Lyap…

It's also easy to imagine that Trump is sending his military to Portland. People forget that the military is actually really big and pretty complex.
Most people join the military because they want to get out of poverty. Some people join because they believe in it. A lot of people are just too young to have any kind of politics, but some of them do develop politics in the military... and some of those folks become anarchists.
There are Nazis in the military. It's a big problem. But there are also anarchists who signed up before they developed a critique of the state, and now they're kind of stuck for a few years until they can get out.
It's also worth recognizing that a lot of people join after they graduate. Basic training is like 22 weeks. So, assuming a random selection, there really aren't a lot of folks who would be deploying to PDX who would have joined under Trump. That's just assuming a random selection, and there may be other things at play that I'm not aware of, but the majority of the types of folks who would get deployed now would have joined under Biden.
The troops who will deploy (if they do deploy) may very much not want to be there. These are also not monsters wanting to kill (like Trump wishes them to be). They're kids from nearby towns. That's not awesome, most of Oregon has absolute shit politics. But joining the National Guard doesn't necessarily mean that a person has any politics at all. All of this is worth remembering.

UnitTenX: Generating Tests for Legacy Packages with AI Agents Powered by Formal Verification
Yiannis Charalambous, Claudionor N. Coelho Jr, Luis Lamb, Lucas C. Cordeiro
https://arxiv.org/abs/2510.05441

UnitTenX: Generating Tests for Legacy Packages with AI Agents Powered by Formal Verification
This paper introduces UnitTenX, a state-of-the-art open-source AI multi-agent system designed to generate unit tests for legacy code, enhancing test coverage and critical value testing. UnitTenX leverages a combination of AI agents, formal methods, and Large Language Models (LLMs) to automate test generation, addressing the challenges posed by complex and legacy codebases. Despite the limitations of LLMs in bug detection, UnitTenX offers a robust framework for improving software reliability and…

PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
Shuoshuo Zhang, Zijian Li, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Yujiu Yang, Rui Wang
https://arxiv.org/abs/2509.25185

PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
Structured images (e.g., charts and geometric diagrams) remain challenging for multimodal large language models (MLLMs), as perceptual slips can cascade into erroneous conclusions. Intermediate visual cues can steer reasoning; however, existing cue-based methods are constrained with low-fidelity image processing and linear, rigid reasoning patterns, limiting their effectiveness on complex structured-image tasks. In this paper, we propose PixelCraft, a novel multi-agent system for high-fidelity …

Constrained Natural Language Action Planning for Resilient Embodied Systems
Grayson Byrd, Corban Rivera, Bethany Kemp, Meghan Booker, Aurora Schmidt, Celso M de Melo, Lalithkumar Seenivasan, Mathias Unberath
https://arxiv.org/abs/2510.06357

Constrained Natural Language Action Planning for Resilient Embodied Systems
Replicating human-level intelligence in the execution of embodied tasks remains challenging due to the unconstrained nature of real-world environments. Novel use of large language models (LLMs) for task planning seeks to address the previously intractable state/action space of complex planning tasks, but hallucinations limit their reliability, and thus, viability beyond a research context. Additionally, the prompt engineering required to achieve adequate system performance lacks transparency, a…

A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
Miha O\v{z}bot, Igor \v{S}krjanc, Vitomir \v{S}truc
https://arxiv.org/abs/2510.00960 https://

A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
In the complex landscape of multivariate time series forecasting, achieving both accuracy and interpretability remains a significant challenge. This paper introduces the Fuzzy Transformer (Fuzzformer), a novel recurrent neural network architecture combined with multi-head self-attention and fuzzy inference systems to analyze multivariate stock market data and conduct long-term time series forecasting. The method leverages LSTM networks and temporal attention to condense multivariate data into i…