Tootfinder

A Special Deal:
In a moment of peril, Florida lawmakers allowed Citizens, its home insurer of last resort, to take disputes before judges whose salaries it funds.
Winning Record: Citizens has taken more than 1,500 insurance disputes to mandatory arbitration, where it wins more than 90% of final hearings.
In court it wins just over half the time.
Systemic Issues: Citizens says the process is fast, cheap and fair.
Homeowners say the forum violates their rights.

A Florida Home Insurer Was Allowed to Bypass the Courts During Claim Disputes. It Won More Than 90% of the Time.
State legislators and executives at Citizens Property Insurance touted mandatory arbitration as advantageous for both consumers and insurers. In practice, homeowners were left with few avenues for recourse when their claims were denied.

“I have a hypothesis: all of these [Women in Tech] initiatives are operating in closed and exclusive spaces, which is sending a strong signal to the male majority with the power to affect real change that they are not welcome here, and it is not their problem to solve.” —@…

Why Women in Tech isn't enough
Women in Tech spaces help, but fall short in the long run. Real progress needs systemic change and active involvement from men in positions of power.

We worry, quite rigthly, about the Gaza Genocide and Trump bombing ships on the high seas yet at the same time Sam Altman is doing systemic harm to the rest of the world unchecked.
"Pupils fear that using artificial intelligence is eroding their ability to study, with many complaining it makes schoolwork “too easy” and others saying it limits their creativity and stops them learning new skills, according to new research.
The report on the use of AI in UK schools, commissione…

Situation Model of the Transport, Transport Emissions and Meteorological Conditions
V. Benes, M. Svitek, A. Michalikova, M. Melicherik
https://arxiv.org/abs/2509.10541 https://

Situation Model of the Transport, Transport Emissions and Meteorological Conditions
Air pollution in cities and the possibilities of reducing this pollution represents one of the most important factors that today's society has to deal with. This paper focuses on a systemic approach to traffic emissions with their relation to meteorological conditions, analyzing the effect of weather on the quantity and dispersion of traffic emissions in a city. Using fuzzy inference systems (FIS) the model for prediction of changes in emissions depending on various conditions is developed. The…

A Mathematical Model of Wound Healing: Effects of Local and Systemic Factors
Alinafe Maenje, Joseph Malinzi
https://arxiv.org/abs/2509.12126 https://arxiv.…

A Mathematical Model of Wound Healing: Effects of Local and Systemic Factors
This study presents a mathematical model formulated as a system of first-order non-linear ordinary differential equations, aimed at examining the effects of different factors, classified as local and systemic factors on a wound healing process. Specifically, the model incorporates pathogens, inflammatory cells, fibroblast cells, collagen, and the initial wound size. The variables utilized in the model lack specific units since they represent combined responses of different cell types. As such, …

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models
Ann-Kathrin Dombrowski, Dillon Bowen, Adam Gleave, Chris Cundy
https://arxiv.org/abs/2507.11544

The Safety Gap Toolkit: Evaluating Hidden Dangers of Open-Source Models
Open-weight large language models (LLMs) unlock huge benefits in innovation, personalization, privacy, and democratization. However, their core advantage - modifiability - opens the door to systemic risks: bad actors can trivially subvert current safeguards, turning beneficial models into tools for harm. This leads to a 'safety gap': the difference in dangerous capabilities between a model with intact safeguards and one that has been stripped of those safeguards. We open-source a toolkit to est…

"Carbon offsets fail to cut global heating due to ‘intractable’ systemic problems, study says"
#Climate #ClimateChange

A Computational Pipeline for Patient-Specific Modeling of Thoracic Aortic Aneurysm: From Medical Image to Finite Element Analysis
Jiasong Chen, Linchen Qian, Ruonan Gong, Christina Sun, Tongran Qin, Thuy Pham, Caitlin Martin, Mohammad Zafar, John Elefteriades, Wei Sun, Liang Liang
https://arxiv.org/abs/2509.12596

A Computational Pipeline for Patient-Specific Modeling of Thoracic Aortic Aneurysm: From Medical Image to Finite Element Analysis
The aorta is the body's largest arterial vessel, serving as the primary pathway for oxygenated blood within the systemic circulation. Aortic aneurysms consistently rank among the top twenty causes of mortality in the United States. Thoracic aortic aneurysm (TAA) arises from abnormal dilation of the thoracic aorta and remains a clinically significant disease, ranking as one of the leading causes of death in adults. A thoracic aortic aneurysm ruptures when the integrity of all aortic wall layers …

Psychometric Evaluation of the Culture around Systemic Change Survey: A tool for Assessing Departmental Culture in Physics
Diana Sachmpazidi (Randy), Mike Verostek (Randy), Jayna Petrella (Randy), Siwoo (Randy), Lee, Chandra Turpen
https://arxiv.org/abs/2508.09953

Psychometric Evaluation of the Culture around Systemic Change Survey: A tool for Assessing Departmental Culture in Physics
Physics programs are continually evolving to better support student learning and meet the diverse needs of their populations. Achieving many of these goals requires not only structural adjustments but also fundamental shifts in departmental culture. Recognizing this, disciplinary organizations in physics have placed systemic change and equity at the center of reform efforts, identifying them as essential pillars of meaningful and sustainable change. Yet tools for assessing departmental culture …

Story links:
https://arstechnica.com/security/2025/09/former-whatsapp-security-boss-sues-meta-for-systemic-cybersecurity-failures/
https://arstechnica.com/google/2025/09/in-court-filing-google-concedes-the-open-web-is-in-rapid-decline/

Too many keep using WhatsApp while the company, Meta can not be trusted with your data.
https://arstechnica.com/security/2025/09/…

Former WhatsApp security boss in lawsuit likens Meta’s culture to a “cult”
Meta allegedly prioritized user growth over security, lawsuit said.

HTTP Request Synchronization Defeats Discrepancy Attacks
Cem Topcuoglu, Kaan Onarlioglu, Steven Sprecher, Engin Kirda
https://arxiv.org/abs/2510.09952 https://

HTTP Request Synchronization Defeats Discrepancy Attacks
Contemporary web application architectures involve many layers of proxy services that process traffic. Due to the complexity of HTTP and vendor design decisions, these proxies sometimes process a given request in different ways. Attackers can exploit these processing discrepancies to launch damaging attacks including web cache poisoning and request smuggling. Discrepancy attacks are surging, yet, there exists no systemic defense. In this work, we propose the first comprehensive defense to add…

Water Maser Disk and a Supermassive Black Hole at the Nucleus of the Active Galaxy NGC 7738
Rinka Ito, Yusuke Miyamoto, Naomasa Nakai, Aya Yamauchi, Yuichi Terashima
https://arxiv.org/abs/2510.10354

Water Maser Disk and a Supermassive Black Hole at the Nucleus of the Active Galaxy NGC 7738
We present the results of very long baseline interferometry (VLBI) observations of water vapor masers in the nucleus of the LINER galaxy NGC 7738. The red- and blue-shifted and newly detected systemic maser features show an almost edge-on disk located at a distance of ${0.031}\mbox{-}{0.222}$ pc from the galactic center and rotating with a velocity of $324\mbox{-}454$ km s$^{-1}$ . The velocity field of the disk indicates sub-Keplerian rotation, suggesting a non-negligible disk mass. The Mestel…

Trump repeatedly promised that his mass deportation efforts would target “the worst of the worst” criminals,
yet the government’s own data reveals that immigrants with no criminal record are the largest group in US immigration detention today.
How can the Trump administration justify its deployment of federal agents, and even the military, to US cities based on the factually disprovable fictions?

‘Spectacle of disorder’: How ICE creates the chaos ICE, cops, and the military are called in to ‘fix’
"Trump has been able to make this spectacle where you have disorder on one side and him on the other, and he can constantly encroach upon the civil rights of Americans by convincing us that this disorder is so systemic that only he can fix it."

Robo-Advisors Beyond Automation: Principles and Roadmap for AI-Driven Financial Planning
Runhuan Feng, Hong Li, Ming Liu
https://arxiv.org/abs/2509.09922 https://

Robo-Advisors Beyond Automation: Principles and Roadmap for AI-Driven Financial Planning
Artificial intelligence (AI) is transforming financial planning by expanding access, lowering costs, and enabling dynamic, data-driven advice. Yet without clear safeguards, digital platforms risk reproducing longstanding market inefficiencies such as information asymmetry, misaligned incentives, and systemic fragility. This paper develops a framework for responsible AI in financial planning, anchored in five principles: fiduciary duty, adaptive personalization, technical robustness, ethical and…

Human-Hardware-in-the-Loop simulations for systemic resilience assessment in cyber-socio-technical systems
Francesco Simone, Marco Bortolini, Giovanni Mazzuto, Giulio di Gravio, Riccardo Patriarca
https://arxiv.org/abs/2509.06657

Human-Hardware-in-the-Loop simulations for systemic resilience assessment in cyber-socio-technical systems
Modern industrial systems require updated approaches to safety management, as the tight interplay between cyber-physical, human, and organizational factors has driven their processes toward increasing complexity. In addition to dealing with known risks, managing system resilience acquires great value to address complex behaviors pragmatically. This manuscript starts from the System-Theoretic Accident Model and Processes (STAMP) as a modelling initiative for such complexity. The STAMP can be nat…

The systemic impact of edges in financial networks
Michel Alexandre, Thiago Christiano Silva, Francisco A. Rodrigues
https://arxiv.org/abs/2510.03087 https://

The systemic impact of edges in financial networks
In this paper, we assess how the stability of financial networks is affected by interconnectedness considering its tiniest variation: the edge. We compute the impact of edges as the percentage difference in the systemic risk (SR) of the whole network caused by the inclusion of that edge. We apply this framework to a thorough Brazilian dataset to compute the impact of bank-firm edges. After observing that (i) edges are heterogeneous regarding their impact on the SR, and (ii) the fraction of edge…

How much damage are ultraprocessed foods really doing to your health? #nutrition

How much damage are ultraprocessed foods really doing to your health?
Many foods we consume today are ultraprocessed, packed with unhealthy ingredients, and linked to major health risks. As consumption of these foods rises, so do chronic health issues, especially among lower-income groups. Experts are calling for clearer guidelines, better research, and systemic changes to reduce the impact of ultraprocessed foods on public health.

As the saying goes, “if used responsibly…”
https://www.computerworld.com/article/4069521/deloittes-ai-governance-failure-exposes-critical-gap-in-enterprise-quality-controls.html

ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
Dakai Zhai, Jiong Gao, Boya Du, Junwei Xu, Qijie Shen, Jialin Zhu, Yuning Jiang
https://arxiv.org/abs/2510.09393

ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
Accurately predicting conversion rates (CVR) for low-activity users remains a fundamental challenge in large-scale e-commerce recommender systems.Existing approaches face three critical limitations: (i) reliance on noisy and unreliable behavioral signals; (ii) insufficient user-level information due to the lack of diverse interaction data; and (iii) a systemic training bias toward high-activity users that overshadows the needs of low-activity users.To address these challenges, we propose ChoirR…

Systemic change > Life hacks

Job insecurity and equilibrium determinacy in a rational expectations, New Keynesian model with asymmetric information. A theoretical analysis
Luca Vota, Luisa Errichiello
https://arxiv.org/abs/2510.11125

Job insecurity and equilibrium determinacy in a rational expectations, New Keynesian model with asymmetric information. A theoretical analysis
Despite the importance of this variable in the macroeconomic context, current research on job insecurity remains mainly confined to its non-systemic dimension. The research aim of this paper is to identify the short-run and long-run macroeconomic determinants of job insecurity in the presence of asymmetric information between public and private agents, informative shocks, and different degrees of institutional communication transparency. To accomplish this goal, a small-scale, rational expectat…

Enhancing understanding and clinical applications of cerebral autoregulation: A novel integrated numerical framework
Qi Zhang, Meng-di Yang, Xuan-hao Xu, Xiu-li Xu, Shuai Tian, Li-ling Hao
https://arxiv.org/abs/2509.10295

Enhancing understanding and clinical applications of cerebral autoregulation: A novel integrated numerical framework
Cerebral autoregulation (CA) is a fundamental mechanism that modulates cerebrovascular resistance, primarily by regulating the diameter of small cerebral vessels to maintain stable cerebral blood flow (CBF) in response to fluctuations in systemic arterial pressure. However, the clinical understanding of CA remains limited due to the intricate structure of the cerebral vasculature and the challenges in accurately quantifying the hemodynamic and physiological parameters that govern this autoregul…

A Risk Mitigation Model of Monetary Ecosystem with Stablecoins
Hongzhe Wen, R. S. M. Lau
https://arxiv.org/abs/2510.10469 https://arxiv.org/pdf/2510.10469

A Risk Mitigation Model of Monetary Ecosystem with Stablecoins
Stablecoins have emerged as a significant component of global financial infrastructure, with aggregate market capitalization surpassing USD250 billion in 2025. Their increasing integration into payment and settlement systems has simultaneously introduced novel channels of systemic exposure, particularly liquidity risk during periods of market stress. This study develops a hybrid monetary architecture that embeds fiat-backed stablecoins within a central bank-anchored framework to structurally mi…

The EU issues guidelines to help AI models with systemic risks comply with the AI Act, after criticism from some companies about lack of clarity (Foo Yun Chee/Reuters)
https://www.reuters.com/sustainability/boa

Principles for Environmental Justice in Technology: Toward a Regenerative Future
Sanjana Paul
https://arxiv.org/abs/2508.09007 https://arxiv.org/pdf/2508.0…

Principles for Environmental Justice in Technology: Toward a Regenerative Future
This paper introduces the Environmental Justice in Technology (EJIT) Principles, a framework to help reorient technological development toward social and ecological justice and collective flourishing. In response to prevailing models of technological innovation that prioritize speed, scale, and profit while neglecting systemic injustice, the EJIT principles offer an alternative: a set of guiding values that foreground interdependence, repair, and community self-determination. Drawing inspiratio…

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…

'When the road disappears into uncertainty, divergent thinkers and polymaths become indispensable. They see new trails where others see only trees. They reframe the problem, question inherited assumptions and bring together knowledge from across various disciplines. In times of systemic shocks, it’s not expertise in one field that saves us but the ability to connect the dots across many. This is the kind of competence needed now because everything is linked and disruption moves fast. '

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
David Herrera-Poyatos, Carlos Pel\'aez-Gonz\'alez, Cristina Zuheros, Virilo Tejedor, Rosana Montes, Francisco Herrera
https://arxiv.org/abs/2509.05199

Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework
Large Language Models (LLMs) are increasingly being deployed in high-risk domains where opacity, bias, and instability undermine trust and accountability. Traditional explainability methods, focused on surface outputs, do not capture the reasoning pathways, planning logic, and systemic impacts of agentic LLMs. We introduce TAXAL (Triadic Alignment for eXplainability in Agentic LLMs), a triadic fusion framework that unites three complementary dimensions: cognitive (user understanding), functio…

Monsters are very real.
But they never emerge in a vacuum.
This piece by @… is nearly perfect in explaining why.
https://pluralistic.net/2025/07/19/sys

Accessibility Beyond Accommodations: A Systematic Redesign of Introduction to Computer Science for Students with Visual Impairments
Vaanee Tripathi, Aalok Thakkar
https://arxiv.org/abs/2508.05056

Accessibility Beyond Accommodations: A Systematic Redesign of Introduction to Computer Science for Students with Visual Impairments
Computer science education has evolved extensively; however, systemic barriers still prevent students with visual impairments from fully participating. While existing research has developed specialized programming tools and assistive technologies, these solutions remain fragmented and often require complex technical infrastructure, which limits their classroom implementation. Current approaches treat accessibility as individual accommodations rather than integral curriculum design, creating gap…

I like Cory's thread. Just like with bikes, fighting systemic issues requires personal choices AND mass mobilization. Personal choices, like getting a cargo bike* instead of an SUV to transport your kids around, help normalize it and influence others (who see you riding with your kid and realize that they can do that too). And then organizing, getting all of your neighbors together to push for safe bike infrastructure, which is particularly effective at the local level.

The DOGE team, and Bisignano, have prioritized scoring quick wins that allow them to post triumphant tweets and press releases — especially, in the early months, about an essentially nonexistent form of fraud — while squandering the chance for systemic change at an agency that genuinely needs it.
They could have worked to modernize Social Security’s legacy software, the current and former staffers say. They could have tried to streamline the stupefying volume...

The Untold Saga of What Happened When DOGE Stormed Social Security
DOGE has ignored urgently needed reforms and upgrades at the Social Security Administration, according to dozens of insiders and 15 hours of candid interviews with the former acting chief of the agency, who admits he sometimes made things worse.

Detecting and Mitigating Insertion Hallucination in Video-to-Audio Generation
Liyang Chen, Hongkai Chen, Yujun Cai, Sifan Li, Qingwen Ye, Yiwei Wang
https://arxiv.org/abs/2510.08078

Detecting and Mitigating Insertion Hallucination in Video-to-Audio Generation
Video-to-Audio generation has made remarkable strides in automatically synthesizing sound for video. However, existing evaluation metrics, which focus on semantic and temporal alignment, overlook a critical failure mode: models often generate acoustic events, particularly speech and music, that have no corresponding visual source. We term this phenomenon Insertion Hallucination and identify it as a systemic risk driven by dataset biases, such as the prevalence of off-screen sounds, that remains…

What are you going to do when the regime falls? After calling all your friends, after the great memes, after the parties, what are you going to do to make sure it never happens again? What world should we create?
Taxing billionaires is great and all, but we could build systems where billionaires are impossible. Is hoarding wealth and using it to control people even something we should consider part of a functional and humane system? Any system where one group of people doesn't have rights means that anyone can be stripped of their rights, like has happened with all the US citizens who've been illegally detained and deported by ICE. Does the concept of "rights" that must be defended with violence, that can be stripped away by people who can exercise more violence, even make sense? Or should the bedrock of a functional system be the obligations that we have to each other and to society, that cannot be severed or taken from us, that tell us we *must* defend regardless of whether systemic oppression will impact us or not?
Americans have been so restricted by the limitations of the two party system, only able to choose between options acceptable to different sections of the capitalist class. Would we even be able to imagine what we could do if those restrictions went away?
The fall of the Berlin wall was a surprise. The fall of Assad was faster than anyone expected. One day the government of Nepal was an unrepentant oligarchy, the next it was on fire. Everything can change in an instant, faster than anyone expects. No one can predict revolutionary change. Will you be ready if the opportunity presents itself?
The US cannot be fixed. The economic system is a ponzi scheme that has been patched again and again, but has finally run out of options. Racism, sexism, and Christian nationalism are baked into the system at every level. Trump gutted the system of soft power that held the US economy together, now there is only a slow decline. Even after he's gone, the damage is done. Once we let go of how to fix something that cannot be fixed, we can start to imagine something that cannot be achieved within the current system.
This is a time of opportunity. Do not burrow so deep in terror that you miss your chance to dream.
#USPol

A Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks
Huangbin Liang, Beatriz Moya, Francisco Chinesta, Eleni Chatzi
https://arxiv.org/abs/2508.07376

A Multi-Model Probabilistic Framework for Seismic Risk Assessment and Retrofit Planning of Electric Power Networks
Electric power networks are critical lifelines, and their disruption during earthquakes can lead to severe cascading failures and significantly hinder post-disaster recovery. Enhancing their seismic resilience requires identifying and strengthening vulnerable components in a cost-effective and system-aware manner. However, existing studies often overlook the systemic behavior of power networks under seismic loading. Common limitations include isolated component analyses that neglect network-wid…

"Inequity, precarity, and disparity: Exploring systemic and institutional barriers in open access publishing" https://doi.org/10.1177/09610006251353385

I should really write that blog post about Schrödinger's Snake — explaining the hypervigilance as a woman in tech that comes from not knowing which men are safe, and which rare few are venomous
And the associated Schrödinger's Microaggression phenomenon, when we can't know whether we were treated this way because of systemic oppression or for some mundane reason

A review of Northern Irish police finds journalist surveillance wasn't widespread but finds 20 attempts to ID journalists' sources between 2011 and 2024 (Press Gazette)
https://pressgazette.co.uk/news/police-in-nort…

Police in Northern Ireland tried to identify journalists' sources more than 20 times
But covert surveillance of journalists not found to be "widespread or systemic".

Uncovering the network geometry of green bonds
Xinyue Zhang, Alexander P. Kartun-Giles
https://arxiv.org/abs/2509.05168 https://arxiv.org/pdf/2509.05168

Uncovering the network geometry of green bonds
With the rapid growth of the green bond market amid increasing emphasis on sustainable development, understanding its structural properties and potential systemic risks has become essential. This study applies Minimum Spanning Tree (MST) and Hierarchical Tree (HT) methods introduced by Mantegna, which gives a minimum spanning tree of bonds whose mutual distance corresponds to the correlation coefficient of the synchronous time evolution of the difference of the logarithm of their monthly price.…

"Yes, the union movement squandered the Biden years, refusing to spend its record-setting cash reserves on organizing, despite the millions of workers begging to join unions. But workplace democracy remains the only way that we ever have defeated capital (or ever will), so join a union, form a union, support a union:
https://pluralistic.net/2025/01/29/which-side-are-you-on-2/#strike-three-yer-out"
- @…
https://pluralistic.net/2025/07/31/unsatisfying-answers/#systemic-problems

Calibrated Generative AI as Meta-Reviewer: A Systemic Functional Linguistics Discourse Analysis of Reviews of Peer Reviews
Gabriela C. Zapata, Bill Cope, Mary Kalantzis, Duane Searsmith
https://arxiv.org/abs/2509.15035

Calibrated Generative AI as Meta-Reviewer: A Systemic Functional Linguistics Discourse Analysis of Reviews of Peer Reviews
This study investigates the use of generative AI to support formative assessment through machine generated reviews of peer reviews in graduate online courses in a public university in the United States. Drawing on Systemic Functional Linguistics and Appraisal Theory, we analyzed 120 metareviews to explore how generative AI feedback constructs meaning across ideational, interpersonal, and textual dimensions. The findings suggest that generative AI can approximate key rhetorical and relational fe…

In any case, day 2: Ursula K Le Guin.
As I've said elsewhere, part of her science fiction thesis is that "human" can encompass much more than what we mere Terrans think of it as, and that moral standing extends broadly throughout the universe. This is the antithesis of Tokens fantasy, wherein "race" is real and determines moral standing. For Le Guin, it's barely okay to intervene in complex alien politics unless you carefully ensure you're not causing systemic harms; for Tolkien, it's okay to ambush and murder orc children, because they are by nature evil.
Add to her excellent politics Le Guin's masterful worldbuilding and unparalleled range of plots, and you have the one author I loved as a decidedly liberal and naïve teen and love even more now that I'm an adult. She's an absolute legend and deserves a very high place on any list of women authors (or list of authors, period.).
For a short story, try "The Ones Who Walk Away From Omelas" which you can read here: https://www.utilitarianism.com/nu/omelas.pdf
For fantasy "A Wizard of Earthsea" (also has a nice graphic novel adaptation), or for science fiction, "The Left Hand of Darkness" or if you want a more anarchist flavor, "The Dispossessed."
I'll close this with an amazing quote from her:
"""
We live in capitalism. Its power seems inescapable. So did the divine right of kings. Any human power can be resisted and changed by human beings. Resistance and change often begin in art, and very often in our art, the art of words.
"""

The Signalgate Case is Waiving a Red Flag to All Organizational and Behavioral Cybersecurity Leaders, Practitioners, and Researchers: Are We Receiving the Signal Amidst the Noise?
Paul Benjamin Lowry, Gregory D. Moody, Robert Willison, Clay Posey
https://arxiv.org/abs/2509.07053

The Signalgate Case is Waiving a Red Flag to All Organizational and Behavioral Cybersecurity Leaders, Practitioners, and Researchers: Are We Receiving the Signal Amidst the Noise?
The Signalgate incident of March 2025, wherein senior US national security officials inadvertently disclosed sensitive military operational details via the encrypted messaging platform Signal, highlights critical vulnerabilities in organizational security arising from human error, governance gaps, and the misuse of technology. Although smaller in scale when compared to historical breaches involving billions of records, Signalgate illustrates critical systemic issues often overshadowed by a focu…

Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Reporting is Our Shield Against Systemic Stumbles
Anchal Gupta, Gleb Pappyshev, James T Kwok
https://arxiv.org/abs/2509.26150

Bubble, Bubble, AI's Rumble: Why Global Financial Regulatory Incident Reporting is Our Shield Against Systemic Stumbles
"Double, double toil and trouble; Fire burn and cauldron bubble." As Shakespeare's witches foretold chaos through cryptic prophecies, modern capital markets grapple with systemic risks concealed by opaque AI systems. According to IMF, the August 5, 2024, plunge in Japanese and U.S. equities can be linked to algorithmic trading yet ab-sent from existing AI incidents database exemplifies this transparency crisis. Current AI incident databases, reliant on crowdsourcing or news scraping, systematic…

When you start to see that capitalism is nothing but systemic exploitation and domination, and that Marxism-Leninism only reproduces the same state capitalism under another name through authoritarian state socialism, you then realize that leftist parties don’t actually bring about any fundamental change, because they to keep power rigidly centralized, to preserve existing hierarchies, and to maintain the dominance of the ruling classes.
If you want a genuine alternative, one built on w…

Protecting the Amazon: Indigenous voices leading the way in the fight against climate change. #climatechange #climatesolutions #climate

Voices from the land: Seven Indigenous paths to protect the Amazon (commentary)
This series, Voices from the Land, brings together opinion pieces led and written by Indigenous peoples from around the world. Through these commentaries, we share our lived realities and reflections on urgent issues shaping our time — environmental destruction, our relationship with nature, and systemic injustice. We write from the heart of our communities, where […]

The natural-born posthuman: applying extended mind to post- and transhumanist discourse https://link.springer.com/article/10.1007/s11229-025-05202-4 "Newer discussions have expanded upon this idea through sensory substitution devices, such as The vOICe system which use…

The natural-born posthuman: applying extended mind to post- and transhumanist discourse - Synthese
As a basis for his extensionist theory on the philosophy of the mind Andy Clark attempts to provide a positive definition of the human as a natural-born cyborg, connecting it to Arnold Gehlen’s idea of the deficient being (Mängelwesen). This natural-born cyborg is a being whose cognition relies on the engagement in new kinds of perception-action-cycles with their external world - usually with the help of technology - thereby creating a systemic whole with this external world. Questions about…

Data Management System Analysis for Distributed Computing Workloads
Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sankha Dutta, Yihui Ren, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Fr\'ed\'eric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

Data Management System Analysis for Distributed Computing Workloads
Large-scale international collaborations such as ATLAS rely on globally distributed workflows and data management to process, move, and store vast volumes of data. ATLAS's Production and Distributed Analysis (PanDA) workflow system and the Rucio data management system are each highly optimized for their respective design goals. However, operating them together at global scale exposes systemic inefficiencies, including underutilized resources, redundant or unnecessary transfers, and altered erro…

A RoBERTa-Based Functional Syntax Annotation Model for Chinese Texts
Han Xiaohui, Zhang Yunlong, Guo Yuxi
https://arxiv.org/abs/2509.04046 https://arxiv.or…

A RoBERTa-Based Functional Syntax Annotation Model for Chinese Texts
Systemic Functional Grammar and its branch, Cardiff Grammar, have been widely applied to discourse analysis, semantic function research, and other tasks across various languages and texts. However, an automatic annotation system based on this theory for Chinese texts has not yet been developed, which significantly constrains the application and promotion of relevant theories. To fill this gap, this research introduces a functional syntax annotation model for Chinese based on RoBERTa (Robustly O…

Israel committing genocide in Gaza, say Israel-based human rights groups
https://www.theguardian.com/world/2025/jul/28/israel-committing-genocide-in-gaza-say-israel-based-human-rights-groups

In line with my longtime pet issue of cascading #SystemicFailure in complex systems which we've created and come to depend upon, yet have seemingly forgotten how to maintain.
We saw a hint of what's possible in the early years of Covid when shortages rolled across the economy in unpredictable ways. I fear what might happen as the Fash keep dismantling all forms of systemic in…

Systemic Trade Risk Suppresses Comparative Advantage in Rare Earth Dependent Industries
Peter Klimek, Sophia Baum, Markus Gerschberger, Maximilian Hess
https://arxiv.org/abs/2508.00556

Systemic Trade Risk Suppresses Comparative Advantage in Rare Earth Dependent Industries
Rare earth elements (REEs) are critical to a wide range of clean and high-tech applications, yet global trade dependencies expose countries to vulnerabilities across production networks. Here, we construct a multi-tiered input-output trade network spanning 168 REE-related product codes from 2007-2023 using a novel AI-augmented statistical framework. We identify significant differences between dependencies in upstream and intermediate (input) products, revealing that exposure and supplier concen…

Improve Retinal Artery/Vein Classification via Channel Couplin
Shuang Zeng, Chee Hong Lee, Kaiwen Li, Boxu Xie, Ourui Fu, Hangzhou He, Lei Zhu, Yanye Lu, Fangxiao Cheng
https://arxiv.org/abs/2508.03738

Improve Retinal Artery/Vein Classification via Channel Couplin
Retinal vessel segmentation plays a vital role in analyzing fundus images for the diagnosis of systemic and ocular diseases. Building on this, classifying segmented vessels into arteries and veins (A/V) further enables the extraction of clinically relevant features such as vessel width, diameter and tortuosity, which are essential for detecting conditions like diabetic and hypertensive retinopathy. However, manual segmentation and classification are time-consuming, costly and inconsistent. With…

A Mathematical Model of Hematopoiesis during Systemic Infection
Bryan Bailey-Feliciano, George VanVeckhoven, Youngmin Park, Yongchen Tai, Jing Pan
https://arxiv.org/abs/2509.25485

A Mathematical Model of Hematopoiesis during Systemic Infection
Chronic critical illness (CCI) is a disease state in which, following an initial insult, a patient neither recovers nor dies but instead remains in a state of critical illness. CCI is characterized by prolonged organ dysfunction, weight loss, and persistent increased vulnerability to infection. Recent data has shown that patients with CCI generally exhibit persistent immune dysfunction, characterized by prolonged elevation of specific pro-inflammatory cytokines. In this paper, we introduce a ho…

Leveraging the RETFound foundation model for optic disc segmentation in retinal images
Zhenyi Zhao, Muthu Rama Krishnan Mookiah, Emanuele Trucco
https://arxiv.org/abs/2508.11354

Leveraging the RETFound foundation model for optic disc segmentation in retinal images
RETFound is a well-known foundation model (FM) developed for fundus camera and optical coherence tomography images. It has shown promising performance across multiple datasets in diagnosing diseases, both eye-specific and systemic, from retinal images. However, to our best knowledge, it has not been used for other tasks. We present the first adaptation of RETFound for optic disc segmentation, a ubiquitous and foundational task in retinal image analysis. The resulting segmentation system outperf…

"Your Doctor is Spying on You": An Analysis of Data Practices in Mobile Healthcare Applications
Luke Stevenson, Sanchari Das
https://arxiv.org/abs/2510.06015 https://

"Your Doctor is Spying on You": An Analysis of Data Practices in Mobile Healthcare Applications
Mobile healthcare (mHealth) applications promise convenient, continuous patient-provider interaction but also introduce severe and often underexamined security and privacy risks. We present an end-to-end audit of 272 Android mHealth apps from Google Play, combining permission forensics, static vulnerability analysis, and user review mining. Our multi-tool assessment with MobSF, RiskInDroid, and OWASP Mobile Audit revealed systemic weaknesses: 26.1% request fine-grained location without disclosu…

The Light Echo of a High-Redshift Quasar mapped with Lyman-$\alpha$ Tomography
Anna-Christina Eilers, Minghao Yue, Jorryt Matthee, Joseph F. Hennawi, Frederick B. Davies, Robert A. Simcoe, Richard Teague, Rongmon Bordoloi, Gabriel Brammer, Yi Kang, Daichi Kashino, Ruari Mackenzie, Rohan P. Naidu, Benjamin Navarrete
https://arxiv.org/abs/25…

The Light Echo of a High-Redshift Quasar mapped with Lyman-$α$ Tomography
Ultra-violet (UV) radiation from accreting black holes ionizes the intergalactic gas around early quasars, carving out highly ionized bubbles in their surroundings. Any changes in a quasar's luminosity are therefore predicted to produce outward-propagating ionization gradients, affecting the Lyman-$α$ (Ly$α$) absorption opacity near the quasar's systemic redshift. This "proximity effect" is well-documented in rest-UV quasar spectra but only provides a one-dimensional probe along our line-of-s…

Chaotic Bayesian Inference: Strange Attractors as Risk Models for Black Swan Events
Crystal Rust
https://arxiv.org/abs/2509.08183 https://arxiv.org/pdf/250…

Chaotic Bayesian Inference: Strange Attractors as Risk Models for Black Swan Events
We introduce a new risk modeling framework where chaotic attractors shape the geometry of Bayesian inference. By combining heavy-tailed priors with Lorenz and Rossler dynamics, the models naturally generate volatility clustering, fat tails, and extreme events. We compare two complementary approaches: Model A, which emphasizes geometric stability, and Model B, which highlights rare bursts using Fibonacci diagnostics. Together, they provide a dual perspective for systemic risk analysis, linking B…

Computing, Complexity and Degrowth : Systemic Considerations for Digital De-escalation
Valentin Girard, Maud Rio, Romain Couillet
https://arxiv.org/abs/2507.19070 https://

Computing, Complexity and Degrowth : Systemic Considerations for Digital De-escalation
Research on digital degrowth predominantly critiques digital expansion or presents alternative digital practices. Yet, analyzing the link between digital technologies and complexity is crucial to overcome systemic obstacles hindering digital de-escalation. This article presents the different types of links between complexity and computing observed in the literature: the infrastructural complexity inherent in digital technologies, the socio-political complexity induced by them, and finally, the …

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
Christian Roth, Rahmin Bender-Salazar, Breanne Pitt
https://arxiv.org/abs/2508.11059

Stories and Systems: Educational Interactive Storytelling to Teach Media Literacy and Systemic Thinking
This paper explores how Interactive Digital Narratives (IDNs) can support learners in developing the critical literacies needed to address complex societal challenges, so-called wicked problems, such as climate change, pandemics, and social inequality. While digital technologies offer broad access to narratives and data, they also contribute to misinformation and the oversimplification of interconnected issues. IDNs enable learners to navigate nonlinear, interactive stories, fostering deeper un…

Explosive adoption of corrupt behaviors in social systems with higher-order interactions
Elisa Bret\'on-Fuertes, Clara Clemente-Marcuello, Ver\'onica Sanz-Arqu\'e, Gabriela Tom\'as-Delgado, Santiago Lamata-Ot\'in, Hugo P\'erez-Mart\'inez, Jes\'us G\'omez-Garde\~nes
https://arxiv.org/abs/2509.04764…

Explosive adoption of corrupt behaviors in social systems with higher-order interactions
Human behaviors in social systems are often shaped by group pressure and collective norms, especially since the rise of social media platforms. However, in the context of adopting misbehaviors, most existing contagion models rely on pairwise interactions and thus fail to capture group-level dynamics. To fill this gap, we introduce a higher-order extension of the Honesty-Corruption-Ostracism (HCO) model to study the emergence of systemic corruption in populations where individuals interact throu…

"We can conclude that the brain has the capacity to distinguish virtual infectious patterns,
become activated,
and link this activation to a downstream response,
⭐️ resulting in systemic immunity,"
wrote Camilla Jandus, co-author of the study paper
https://www.

Human immune system reacts to the mere sight of infection
Researchers monitored brain activity when people were shown images of sick-looking avatars via VR. The brain appeared to spark an immune response.

Reconstruction of Optical Coherence Tomography Images from Wavelength-space Using Deep-learning
Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova
https://arxiv.org/abs/2509.18783

A Predictive and Synergistic Two-Layer Scheduling Framework for LLM Serving
Yue Zhang, Yuansheng Chen, Xuan Mo, Alex Xi, Jialun Li, WeiGang Wu
https://arxiv.org/abs/2509.23384 h…

A Predictive and Synergistic Two-Layer Scheduling Framework for LLM Serving
LLM inference serving typically scales out with a two-tier architecture: a cluster router distributes requests to multiple inference engines, each of which then in turn performs its own internal scheduling. However, this commonly used paradigm suffers from critical, systemic inefficiency caused by the information gaps across two layers. At the cluster-layer, the router mainly relies on lagging, coarse-grained metrics, such as average latency and queue length to make decisions, resulting in "dec…

TrES-1 b: A Case Study in Detecting Secular Evolution of Exoplanet Orbits
Simone R. Hagey, Billy Edwards, Angelos Tsiaras, Aaron C. Boley, Anastasia Kokori, Norio Narita, Pedro V. Sada, Filip Walter, Robert T. Zellem, Napaporn A-thano, Kevin B. Alton, Miguel \'Angel \'Alava Amat, Paul Benni, Emmanuel Besson, Patrick Brandebourg, Marc Bretton, Mauro Cal\'o, Martin Valentine Crow, Jean-Christophe Dalouzy, Marc Deldem, T\~onis Eenm\"ae, Stephane Ferratfiat, Pere Guerra, G…

TrES-1 b: A Case Study in Detecting Secular Evolution of Exoplanet Orbits
We present a comprehensive analysis of transit, eclipse, and radial velocity data of the hot Jupiter TrES-1 b and confirm evidence of orbital variations on secular timescales. Apparent variations due to systemic motion and light travel time effects have been ruled out, indicating that the observed changes are dynamical in origin. Joint modeling of the TrES-1 b data favors an apsidal precession model, but the rapid precession rate of $4^\circ$ yr$^{-1}$ cannot be explained without invoking an un…

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
N. B. Maimon, Ganit Baruchin, Itamar Grotto, Nathan Intrator, Talya Zeimer, Ofir Chibotero, Efrat Danino
https://arxiv.org/abs/2509.13875

Personalized Detection of Stress via hdrEEG: Linking Neuro-markers to Cortisol, HRV, and Self-Report
Chronic stress is a major risk factor for cognitive decline, neurodegenerative disease, and systemic health burden, underscoring the need for reliable individual-level biomarkers of stress reactivity. While cortisol, heart rate variability (HRV), and self-report measures are widely used, they provide limited insight into neural mechanisms. Here, we tested whether two single-channel hdrEEG biomarkers, ST4 and T2, serve as personalized indices of stress regulation by linking neural activity to va…

Mapping Microscopic and Systemic Risks in TradFi and DeFi: a literature review
Sabrina Aufiero, Silvia Bartolucci, Fabio Caccioli, Pierpaolo Vivo
https://arxiv.org/abs/2508.12007

Mapping Microscopic and Systemic Risks in TradFi and DeFi: a literature review
This work explores the formation and propagation of systemic risks across traditional finance (TradFi) and decentralized finance (DeFi), offering a comparative framework that bridges these two increasingly interconnected ecosystems. We propose a conceptual model for systemic risk formation in TradFi, grounded in well-established mechanisms such as leverage cycles, liquidity crises, and interconnected institutional exposures. Extending this analysis to DeFi, we identify unique structural and tec…

When Algorithms Mirror Minds: A Confirmation-Aware Social Dynamic Model of Echo Chamber and Homogenization Traps
Ming Tang, Xiaowen Huang, Jitao Sang
https://arxiv.org/abs/2508.11516

When Algorithms Mirror Minds: A Confirmation-Aware Social Dynamic Model of Echo Chamber and Homogenization Traps
Recommender systems increasingly suffer from echo chambers and user homogenization, systemic distortions arising from the dynamic interplay between algorithmic recommendations and human behavior. While prior work has studied these phenomena through the lens of algorithmic bias or social network structure, we argue that the psychological mechanisms of users and the closed-loop interaction between users and recommenders are critical yet understudied drivers of these emergent effects. To bridge th…

Governable AI: Provable Safety Under Extreme Threat Models
Donglin Wang, Weiyun Liang, Chunyuan Chen, Jing Xu, Yulong Fu
https://arxiv.org/abs/2508.20411 https://

Governable AI: Provable Safety Under Extreme Threat Models
As AI rapidly advances, the security risks posed by AI are becoming increasingly severe, especially in critical scenarios, including those posing existential risks. If AI becomes uncontrollable, manipulated, or actively evades safety mechanisms, it could trigger systemic disasters. Existing AI safety approaches-such as model enhancement, value alignment, and human intervention-suffer from fundamental, in-principle limitations when facing AI with extreme motivations and unlimited intelligence, a…

Automating Thematic Review of Prevention of Future Deaths Reports: Replicating the ONS Child Suicide Study using Large Language Models
Sam Osian, Arpan Dutta, Sahil Bhandari, Iain E. Buchan, Dan W. Joyce
https://arxiv.org/abs/2507.20786

Automating Thematic Review of Prevention of Future Deaths Reports: Replicating the ONS Child Suicide Study using Large Language Models
Prevention of Future Deaths (PFD) reports, issued by coroners in England and Wales, flag systemic hazards that may lead to further loss of life. Analysis of these reports has previously been constrained by the manual effort required to identify and code relevant cases. In 2025, the Office for National Statistics (ONS) published a national thematic review of child-suicide PFD reports ($\leq$ 18 years), identifying 37 cases from January 2015 to November 2023 - a process based entirely on manual c…

A Nitrogen-rich AGN Powering a Large Ionizing Bubble at z=8.63
Takahiro Morishita, Massimo Stiavelli, Charlotte A. Mason, Roberta Tripodi, Marco Chiaberge, Stefan Schuldt, Chris J. Willott, Yechi Zhang
https://arxiv.org/abs/2508.01372

A Nitrogen-rich AGN Powering a Large Ionizing Bubble at z=8.63
We report the detection of Ly$α$ in CANUCS-LRD-z8.6, a recently discovered AGN at z = 8.63 by Tripodi et al. (2024), in new NIRSpec/MSA G140H/F070LP observations. We detect broad Ly$α$ emission (FWHM $= 1540 \pm 260$ km/s) near the systemic velocity, which suggests a large ionizing bubble considering that the universe is almost fully neutral at the redshift. Through Ly$α$ line-shape modeling assuming a Stromgren sphere, we find a large bubble radius, $R_b = 1.5^{+0.3}_{-0.2}$ pMpc, and a mod…

From its outset, Trump 2.0 has been grounded on systemic illegality and unilateral executive actions,
a course of (mis)conduct the administration has succeeded in pursuing because of pliant GOP majorities in Congress the Supreme Court.
It’s all but certain that the administration’s authoritarian conduct will grow in scope and intensity over the succeeding months,
in no small part because the GOP reconciliation bill will hand over a staggering $170 billion to the Department…

The emerging coup
Lawless authoritarian regimes don't give up power willingly.

Crosslisted article(s) found for q-fin.GN. https://arxiv.org/list/q-fin.GN/new
[1/1]:
- Mapping Microscopic and Systemic Risks in TradFi and DeFi: a literature review
Sabrina Aufiero, Silvia Bartolucci, Fabio Caccioli, Pierpaolo Vivo

Does FOMC Tone Really Matter? Statistical Evidence from Spectral Graph Network Analysis
Jaeho Choi, Jaewon Kim, Seyoung Chung, Chae-shick Chung, Yoonsoo Lee
https://arxiv.org/abs/2510.02705

Does FOMC Tone Really Matter? Statistical Evidence from Spectral Graph Network Analysis
This study examines the relationship between Federal Open Market Committee (FOMC) announcements and financial market network structure through spectral graph theory. Using hypergraph networks constructed from S\&P 100 stocks around FOMC announcement dates (2011--2024), we employ the Fiedler value -- the second eigenvalue of the hypergraph Laplacian -- to measure changes in market connectivity and systemic stability. Our event study methodology reveals that FOMC announcements significantly alter…

Revisiting the Proper Motions of M31 and M33 Using Massive Supergiant Stars with Gaia DR3
Hao Wu, Yang Huang, Huawei Zhang, Qikang Feng
https://arxiv.org/abs/2508.01127 https://…

Revisiting the Proper Motions of M31 and M33 Using Massive Supergiant Stars with Gaia DR3
The proper motions (PMs) of M31 and M33 are key to understanding the Local Group's dynamical evolution. However, measurement discrepancies between Gaia blue and red samples, regarding whether the transverse velocity is remarkable, introduce significant ambiguity. In this work, we remeasure the systemic PMs of M31 and M33 using massive supergiant stars from Gaia Data Release 3. Clean disk tracers are selected via color-color diagrams, with foreground contaminants removed through kinematic and as…

Risk Assessment and Security Analysis of Large Language Models
Xiaoyan Zhang, Dongyang Lyu, Xiaoqi Li
https://arxiv.org/abs/2508.17329 https://arxiv.org/pd…

Risk Assessment and Security Analysis of Large Language Models
As large language models (LLMs) expose systemic security challenges in high risk applications, including privacy leaks, bias amplification, and malicious abuse, there is an urgent need for a dynamic risk assessment and collaborative defence framework that covers their entire life cycle. This paper focuses on the security problems of large language models (LLMs) in critical application scenarios, such as the possibility of disclosure of user data, the deliberate input of harmful instructions, or…

Higher-order Network phenomena of cascading failures in resilient cities
Jinghua Song, Yuan Wang, Zimo Yan
https://arxiv.org/abs/2509.13808 https://arxiv.o…

Higher-order Network phenomena of cascading failures in resilient cities
Modern urban resilience is threatened by cascading failures in multimodal transport networks, where localized shocks trigger widespread paralysis. Existing models, limited by their focus on pairwise interactions, often underestimate this systemic risk. To address this, we introduce a framework that confronts higher-order network theory with empirical evidence from a large-scale, real-world multimodal transport network. Our findings confirm a fundamental duality: network integration enhances sta…

Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
Mowafak Allaham, Kimon Kieslich, Nicholas Diakopoulos
https://arxiv.org/abs/2507.23718

Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks
Risk-based approaches to AI governance often center the technological artifact as the primary focus of risk assessments, overlooking systemic risks that emerge from the complex interaction between AI systems and society. One potential source to incorporate more societal context into these approaches is the news media, as it embeds and reflects complex interactions between AI systems, human stakeholders, and the larger society. News media is influential in terms of which AI risks are emphasized …

Towards Enhancing Data Equity in Public Health Data Science
Yiran Wang, Alicia E. Boyd, Lillian Rountree, Yi Ren, Kate Nyhan, Ruchit Nagar, Jackson Higginbottom, Megan L. Ranney, Harsh Parikh, Bhramar Mukherjee
https://arxiv.org/abs/2508.20301

Towards Enhancing Data Equity in Public Health Data Science
Data-driven decisions shape public health policies and practice, yet persistent disparities in data representation skew insights and undermine interventions. To address this, we advance a structured roadmap that integrates public health data science with computer science and is grounded in reflexivity. We adopt data equity as a guiding concept: ensuring the fair and inclusive representation, collection, and use of data to prevent the introduction or exacerbation of systemic biases that could le…

Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil
Luis Vitor Zerkowski, Nina S. T. Hirata
https://arxiv.org/abs/2508.10911

Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil
Indigenous communities face ongoing challenges in preserving their cultural heritage, particularly in the face of systemic marginalization and urban development. In Brazil, the Museu Nacional dos Povos Indigenas through the Tainacan platform hosts the country's largest online collection of Indigenous objects and iconographies, providing a critical resource for cultural engagement. Using publicly available data from this repository, we present a data-driven initiative that applies artificial int…

AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
NVJK Kartik, Garvit Sapra, Rishav Hada, Nikhil Pareek
https://arxiv.org/abs/2509.14647 https://

AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
With the growing adoption of Large Language Models (LLMs) in automating complex, multi-agent workflows, organizations face mounting risks from errors, emergent behaviors, and systemic failures that current evaluation methods fail to capture. We present AgentCompass, the first evaluation framework designed specifically for post-deployment monitoring and debugging of agentic workflows. AgentCompass models the reasoning process of expert debuggers through a structured, multi-stage analytical pipel…

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Alejandro Hern\'andez-Cano, Alexander H\"agele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert, Barna Pasztor, Bettina Messmer, Dhia Garbaya, Eduard Frank \v{D}urech, Ido Hakimi, Juan Garc\'ia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabol\v{c}ec, Yixuan Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin An…

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
We present Apertus, a fully open suite of large language models (LLMs) designed to address two systemic shortcomings in today's open model ecosystem: data compliance and multilingual representation. Unlike many prior models that release weights without reproducible data pipelines or regard for content-owner rights, Apertus models are pretrained exclusively on openly available data, retroactively respecting robots.txt exclusions and filtering for non-permissive, toxic, and personally identifiabl…

The Aegis Protocol: A Foundational Security Framework for Autonomous AI Agents
Sai Teja Reddy Adapala, Yashwanth Reddy Alugubelly
https://arxiv.org/abs/2508.19267 https://

The Aegis Protocol: A Foundational Security Framework for Autonomous AI Agents
The proliferation of autonomous AI agents marks a paradigm shift toward complex, emergent multi-agent systems. This transition introduces systemic security risks, including control-flow hijacking and cascading failures, that traditional cybersecurity paradigms are ill-equipped to address. This paper introduces the Aegis Protocol, a layered security framework designed to provide strong security guarantees for open agentic ecosystems. The protocol integrates three technological pillars: (1) non-s…

#Kirkland #Memorial #FaustianBargain #Deals

A Measurement Study of Model Context Protocol
Hechuan Guo, Yongle Hao, Yue Zhang, Minghui Xu, Peizhuo Lyu, Jiezhi Chen, Xiuzhen Cheng
https://arxiv.org/abs/2509.25292 https://…

A Measurement Study of Model Context Protocol
The Model Context Protocol (MCP) has been proposed as a unifying standard for connecting large language models (LLMs) with external tools and resources, promising the same role for AI integration that HTTP and USB played for the Web and peripherals. Yet, despite rapid adoption and hype, its trajectory remains uncertain. Are MCP marketplaces truly growing, or merely inflated by placeholders and abandoned prototypes? Are servers secure and privacy-preserving, or do they expose users to systemic r…

CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
Aoun E Muhammad, Kin Choong Yow, Jamel Baili, Yongwon Cho, Yunyoung Nam
https://arxiv.org/abs/2508.19281

CORTEX: Composite Overlay for Risk Tiering and Exposure in Operational AI Systems
As the deployment of Artificial Intelligence (AI) systems in high-stakes sectors - like healthcare, finance, education, justice, and infrastructure has increased - the possibility and impact of failures of these systems have significantly evolved from being a theoretical possibility to practical recurring, systemic risk. This paper introduces CORTEX (Composite Overlay for Risk Tiering and Exposure), a multi-layered risk scoring framework proposed to assess and score AI system vulnerabilities, d…

Measuring the Macroeconomic and Financial Stability of Bangladesh
Faruque Ahamed, Md Ataur Rahman Chowdhury
https://arxiv.org/abs/2507.20340 https://arxiv.…

Measuring the Macroeconomic and Financial Stability of Bangladesh
This study constructs an Aggregate Financial Stability Index (AFSI) for Bangladesh to evaluate the systemic health and resilience of the countrys financial system during the period from 2016 to 2024. The index incorporates 19 macrofinancial indicators across four key sectors Real Sector, Financial and Monetary Sector, Fiscal Sector and External Sector. Using a normalized scoring approach and equal weighting scheme, sub-indices were aggregated to form a comprehensive measure of financial stabili…

Fine-Tuning Hydrophilic-Hydrophobic Balance in Stimuli-Responsive PEGPNIPAM Micelles for Controlled Drug Delivery
Ghazal Jamirad, Mahdi Seif, Abbas Montazeri
https://arxiv.org/abs/2508.13206

Fine-Tuning Hydrophilic-Hydrophobic Balance in Stimuli-Responsive PEGPNIPAM Micelles for Controlled Drug Delivery
Temperature-responsive polymeric micelles have great potential in drug delivery, enhancing therapeutic efficacy while minimizing systemic toxicity. This study investigates the self-assembly of poly(ethylene glycol)-poly(N-isopropylacrylamide) (PEG-PNIPAM) block copolymers as nanocarriers for Doxorubicin (DOX) using coarse-grained molecular dynamics (CG-MD) simulations. We systematically examined the effects of polymer chain length and hydrophilic/hydrophobic balance on micelle formation, stabil…

Replaced article(s) found for q-fin.RM. https://arxiv.org/list/q-fin.RM/new
[1/1]:
- Optimal Systemic Risk Bailout: A PGO Approach Based on Neural Network
Shuhua Xiao, Jiali Ma, Li Xia, Shushang Zhu

An S-shaped filament formed due to Cloud-Cloud Collision in molecular cloud G178.28-00.61
Tianwei Zhang, Tie Liu, Yuefang Wu, Linjing Feng, Sihan Jiao, Derek Ward-Thompson, Alessio Traficante, Helen J Fraser, James Di Francesco, Doug Johnstone, Paul F. Goldsmith, Yasuo Doi, Xunchuan Liu, Chang Won Lee, Fengwei Xu, Ram K. Yadav, Glenn J White, Leonardo Bronfman, Yi-Jehng Kuan, Kee-Tae Kim, Donghui Quan

An S-shaped filament formed due to Cloud-Cloud Collision in molecular cloud G178.28-00.61
We present compelling observational evidence supporting G178.28-00.61 as an early-stage candidate for Cloud-Cloud Collision (CCC), with indications of the formation of an S-shaped filament, evenly-separated dense cores, and young star clusters. The observations of CO molecular line emission demonstrate the existence of two interacting molecular clouds with systemic velocities of 0.8 km/s and -1.2 km/s, respectively. The convergence zone of these two clouds reveals an S-shaped filament in the JC…

Consumer Autonomy or Illusion? Rethinking Consumer Agency in the Age of Algorithms
Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana
https://arxiv.org/abs/2508.13440 https://

Consumer Autonomy or Illusion? Rethinking Consumer Agency in the Age of Algorithms
Consumer agency in the digital age is increasingly constrained by systemic barriers and algorithmic manipulation, raising concerns about the authenticity of consumption choices. Nowadays, financial decisions are shaped by external pressures like obligatory consumption, algorithmic persuasion, and unstable work schedules that erode financial autonomy. Obligatory consumption (like hidden fees) is intensified by digital ecosystems. Algorithmic tactics like personalized recommendations lead to impu…

Financial Regulation and AI: A Faustian Bargain?
Christopher Clayton, Antonio Coppola
https://arxiv.org/abs/2507.18747 https://arxiv.org/pdf/2507.18747

Financial Regulation and AI: A Faustian Bargain?
We examine whether and how granular, real-time predictive models should be integrated into central banks' macroprudential toolkit. First, we develop a tractable framework that formalizes the tradeoff regulators face when choosing between implementing models that forecast systemic risk accurately but have uncertain causal content and models with the opposite profile. We derive the regulator's optimal policy in a setting in which private portfolios react endogenously to the regulator's model choi…

The AI-Fraud Diamond: A Novel Lens for Auditing Algorithmic Deception
Benjamin Zweers, Diptish Dey, Debarati Bhaumik
https://arxiv.org/abs/2508.13984 https://

The AI-Fraud Diamond: A Novel Lens for Auditing Algorithmic Deception
As artificial intelligence (AI) systems become increasingly integral to organizational processes, they introduce new forms of fraud that are often subtle, systemic, and concealed within technical complexity. This paper introduces the AI-Fraud Diamond, an extension of the traditional Fraud Triangle that adds technical opacity as a fourth condition alongside pressure, opportunity, and rationalization. Unlike traditional fraud, AI-enabled deception may not involve clear human intent but can arise …

It bothers me that so many LLM/genAI applications seem to be all about "now that we have new tool X, what can we do with it" while completely ignoring the question "for problem Y, what is the best tool for the job?"
Perhaps unsurprisingly for developers where we have strong evidence of poor ethics (e.g., uncritically using big-brand LLMs), I suspect that many of the people behind these systems care more about the exhiliration of using new tech and the prestige it might bring them than any of the problems they might claim to solve (if they even bother to identify such things at all). Turns out that's a great way to cause a lot of harm in the world, since you likely won't do a good job of measuring outcomes (if you even bother to do so) and you especially won't carefully look for systemic biases or ways your system might unintentionally hurt/exclude people. You also won't be concerned about whether your system ends up displacing efforts that would have led to better solutions.
#AI #GenerativeAI #GenAI #LLM

The Stories We Govern By: AI, Risk, and the Power of Imaginaries
Ninell Oldenburg, Gleb Papyshev
https://arxiv.org/abs/2508.11729 https://arxiv.org/pdf/250…

The Stories We Govern By: AI, Risk, and the Power of Imaginaries
This paper examines how competing sociotechnical imaginaries of artificial intelligence (AI) risk shape governance decisions and regulatory constraints. Drawing on concepts from science and technology studies, we analyse three dominant narrative groups: existential risk proponents, who emphasise catastrophic AGI scenarios; accelerationists, who portray AI as a transformative force to be unleashed; and critical AI scholars, who foreground present-day harms rooted in systemic inequality. Through …