Tootfinder

In case you were wondering just how illegal The Mump Gang’s blitzkrieg has been…
The Drafters of a Key 1940s Law Feared an American Dictator. Trump Is Blowing That Law Up. - Slate https://apple.news/ALLeaMYyRSYO9kz0zGokxxQ

Bra och underhållande text kring begreppen statistisk signifikans och konfidensintervall.
How a Cup of Tea Laid the Foundations for Modern Statistical Analysis https://www.wired.com/story/how-a-cup-of-t…

How a Cup of Tea Laid the Foundations for Modern Statistical Analysis
Scientific experiments run today are based on research practices that evolved out of a British tea-tasting experiment in the 1920s.

🇺🇦 Auf radioeins läuft...
Nash, Kate:
🎵 Foundations
#NowPlaying #Nash #Kate
https://septembergun.bandcamp.com/track/i-run-to-the-bpm-of-kate-nashs-foundations
https://open.spotify.com/track/3PY6DWrkuIt6LZgFesrIkJ

Theoretical Foundations of Waste Factor and Waste Figure with Applications to Fixed Wireless Access and Relay Systems
Nurullah Sevim, Mostafa Ibrahim, Sabit Ekin, Theodore S. Rappaport
https://arxiv.org/abs/2506.08414

Theoretical Foundations of Waste Factor and Waste Figure with Applications to Fixed Wireless Access and Relay Systems
The exponential rise in energy consumption across wireless communication systems, particularly in anticipation of next-generation wireless systems, necessitates rigorous frameworks for evaluating and optimizing energy efficiency. This paper revisits and expands the concept of the Waste Factor (W), or Waste Figure (WF) in decibel scale, as a unifying metric that captures both utilized and wasted power in cascaded communication systems. Building upon its foundation in system-level power modeling,…

Celebrating Windrush Foundation’s 30th Anniversary event at The Tab Centre, London, SE13 on Saturday, June 21, 2025, from 6 pm to 8:30 pm.
Please arrive at 5:30 pm - (NO ENTRY AFTER 6:30 pm). Tickets: https://www.eventbrite.co.uk/e/celebrating

Financial Times editorial: ”European states must show Israel that its actions bear consequences. They should ban trade with settlements and sanction extremist settler entities. They should halve offensive weapons sales to Israel and sanction ultranationalists in the government …
Finally, they should lead the way in formally recognising a Palestinian state, before there is nothing left to recognise.” #Gaza

Israel is destroying the foundations of a Palestinian state
The Netanyahu government must be held to account over Gaza and the West Bank

Categorical foundations of discrete dynamical systems
Daniel Carranza, Chris Kapulkin, Nathan Kershaw, Reinhard Laubenbacher, Matthew Wheeler
https://arxiv.org/abs/2506.05190

Categorical foundations of discrete dynamical systems
We develop categorical foundations of discrete dynamical systems, aimed at understanding how the structure of the system affects its dynamics. The key technical innovation is the notion of a cycle set, which provides a formal language in which to speak of the system's attractors. As a proof of concept, we provide a decomposition theorem for discrete dynamical systems.

Israel is destroying the foundations of a Palestinian state (Financial Times)
https://www.ft.com/content/88561b40-b214-4f40-b8f3-32a881c832c4
http://www.memeorandum.com/250607/p11#a250607p11

Algebraic Limits of Sandpiles
Mikhail Shkolnikov
https://arxiv.org/abs/2506.09912 https://arxiv.org/pdf/2506.09912

Algebraic Limits of Sandpiles
The paper contributes to building algebraic foundations of self-organized criticality answering a previously unsolved question about the limiting structure of the extended sandpile group as well as relating it to another limit at the level of classical sandpile groups with respect to certain monomorphisms, and puts forward a concept of canonical sandpile epimorphisms, drawing an unexpected consequence about the divisibility properties of the numbers of spanning trees on rectangles.

Twenty-Five Years of the Intelligent Driver Model: Foundations, Extensions, Applications, and Future Directions
Shirui Zhou, Shiteng Zheng, Junfang Tian, Rui Jiang, and H. M. Zhang
https://arxiv.org/abs/2506.05909

Twenty-Five Years of the Intelligent Driver Model: Foundations, Extensions, Applications, and Future Directions
The Intelligent Driver Model (IDM), proposed in 2000, has become a foundational tool in traffic flow modeling, renowned for its simplicity, computational efficiency, and ability to capture diverse traffic dynamics. Over the past 25 years, IDM has significantly advanced car-following theory and found extensive application in intelligent transportation systems, including driver assistance systems and autonomous vehicle control. However, IDM's deterministic framework and simplified assumptions fac…

Agnostic Reinforcement Learning: Foundations and Algorithms
Gene Li
https://arxiv.org/abs/2506.01884 https://arxiv.org/pdf/2506.01884…

Agnostic Reinforcement Learning: Foundations and Algorithms
Reinforcement Learning (RL) has demonstrated tremendous empirical success across numerous challenging domains. However, we lack a strong theoretical understanding of the statistical complexity of RL in environments with large state spaces, where function approximation is required for sample-efficient learning. This thesis addresses this gap by rigorously examining the statistical complexity of RL with function approximation from a learning theoretic perspective. Departing from a long history of…

Almost-Optimal Local-Search Methods for Sparse Tensor PCA
Max Lovig, Conor Sheehan, Konstantinos Tsirkas, Ilias Zadik
https://arxiv.org/abs/2506.09959 http…

Almost-Optimal Local-Search Methods for Sparse Tensor PCA
Local-search methods are widely employed in statistical applications, yet interestingly, their theoretical foundations remain rather underexplored, compared to other classes of estimators such as low-degree polynomials and spectral methods. Of note, among the few existing results recent studies have revealed a significant "local-computational" gap in the context of a well-studied sparse tensor principal component analysis (PCA), where a broad class of local Markov chain methods exhibits a notab…

Mirror Symmetry in Geometric Constraints: Analytic and Riemann-Roch Perspectives
Dongzhe Zheng
https://arxiv.org/abs/2506.06610 https://

Mirror Symmetry in Geometric Constraints: Analytic and Riemann-Roch Perspectives
Building upon the discovery of mirror symmetry phenomena in compatible pair Spencer complexes, this paper develops rigorous analytical foundations through systematic application of elliptic perturbation theory and characteristic class analysis. We establish a comprehensive multi-level framework revealing the mathematical mechanisms underlying the symbolic transformation $(D,λ) \mapsto (D,-λ)$: metric invariance analysis via Spencer metric theory, topological isomorphisms through elliptic oper…

🎶 #Kerch Bridge on fire, your defence is terrified 🎶
“#Ukraine's #SBU claims it has damaged the foundations of the

Ukraine claims explosive attack on Russia's bridge to Crimea
Kyiv says it has bombed the Kerch Bridge in a "unique special operation." The blast targeted a critical Russian supply route. Meanwhile, three people were killed in a Russian attack on Sumy.

FYI, some private foundations have stepped up to provide grants for #STEM #Education and #Research, as a stop gap for those whose federal grants have been terminated:

Deep cuts erode the foundations of US public health system, end progress, threaten worse to come | AP News
https://apnews.com/article/public-health-measles-rfk-maha-trump-d863f53a5d370413de8d165d5ab96e65

Right now, there is a •preposterous• amount of money devoted to propping up an AI industry that is causing massive environmental damage, sits on unethical foundations, is enriching some of the worst people on earth, nurses a whole mountain of fascist fantasies (https://hachyderm.io/@inthehands/114559604028049328), and isn’t even profitable.
For all those reasons, I’m really, really careful about what kind of hype I share. And — this is important! — I’m careful about what kind of hype I allow to get inside my own head.
7/

This https://arxiv.org/abs/2506.03780 has been replaced.
link: https://scholar.google.com/scholar?q=a

High-Dimensional Learning in Finance
Recent advances in machine learning have shown promising results for financial prediction using large, over-parameterized models. This paper provides theoretical foundations and empirical validation for understanding when and how these methods achieve predictive success. I examine three key aspects of high-dimensional learning in finance. First, I prove that within-sample standardization in Random Fourier Features implementations fundamentally alters the underlying Gaussian kernel approximation…

This https://arxiv.org/abs/2411.02006 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Foundations and Recent Trends in Multimodal Mobile Agents: A Survey
Mobile agents are essential for automating tasks in complex and dynamic mobile environments. As foundation models evolve, the demands for agents that can adapt in real-time and process multimodal data have grown. This survey provides a comprehensive review of mobile agent technologies, focusing on recent advancements that enhance real-time adaptability and multimodal interaction. Recent evaluation benchmarks have been developed better to capture the static and interactive environments of mobile…

Trigonometric Ratios Can Prove the Pythagorean Theorem
Shoya Kise, Takesa Uehara, Takashi Shinzato
https://arxiv.org/abs/2506.06304 https://

Trigonometric Ratios Can Prove the Pythagorean Theorem
Recent interest in noncircular trigonometric proofs has underscored the need for alternative methodologies. Jackson and Johnson's 2024 study addresses a longstanding gap in the foundations of trigonometric proofs. Inspired by the work of Jackson and Johnson [JJ24], we present three noncircular proofs of the Pythagorean theorem based on trigonometric identities. First, we establish the Pythagorean theorem via an isosceles triangle construction and the tangent double-angle formula. Second, we pre…

I went to a concentration camp, Neuengamme, yesterday to learn more about the local history. The visit has reinforced my belief that fascism must be stopped at all costs.

Proceedings of the 19th International Workshop on Logical and Semantic Frameworks, with Applications
Cynthia Kop (Radboud Universiteit Nijmegen), Helida Salles Santos (Universidade Federal do Rio Grande)
https://arxiv.org/abs/2506.05219

Proceedings of the 19th International Workshop on Logical and Semantic Frameworks, with Applications
This volume contains the post-proceedings of the 19th LSFA, which was held in Goiânia, the capital of Goiás state in Brazil, from September 18 to September 20, 2024. Logical and semantic frameworks are formal languages used to represent logics, languages and systems. These frameworks provide foundations for the formal specification of systems and programming languages, supporting tool development and reasoning. The aim of this series is bringing together theoreticians and practitioners t…

Foundations of the ionization potential condition for localized electron removal in density functional theory
Guy Ohad, Mar\'ia Camarasa-G\'omez, Jeffrey B. Neaton, Ashwin Ramasubramaniam, Tim Gould, Leeor Kronik
https://arxiv.org/abs/2506.00629

Foundations of the ionization potential condition for localized electron removal in density functional theory
Optimal tuning of functional parameters in density functional theory approximations, based on enforcing the ionization potential theorem, has emerged as the method of choice for the non-empirical prediction of the electronic structure of finite systems. This method has recently been extended to the bulk limit, based on an ansatz that generalizes the ionization potential theorem to the removal of an electron from a localized Wannier orbital. This Wannier-localization based optimal tuning method …

Graph Neural Networks in Modern AI-aided Drug Discovery
Odin Zhang, Haitao Lin, Xujun Zhang, Xiaorui Wang, Zhenxing Wu, Qing Ye, Weibo Zhao, Jike Wang, Kejun Ying, Yu Kang, Chang-yu Hsieh, Tingjun Hou
https://arxiv.org/abs/2506.06915

Graph Neural Networks in Modern AI-aided Drug Discovery
Graph neural networks (GNNs), as topology/structure-aware models within deep learning, have emerged as powerful tools for AI-aided drug discovery (AIDD). By directly operating on molecular graphs, GNNs offer an intuitive and expressive framework for learning the complex topological and geometric features of drug-like molecules, cementing their role in modern molecular modeling. This review provides a comprehensive overview of the methodological foundations and representative applications of GNN…

This https://arxiv.org/abs/2505.02945 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

The Cognitive Foundations of Economic Exchange: A Modular Framework Grounded in Behavioral Evidence
A key challenge in multi-agent AI is modeling social cooperation under realistic behavioral constraints. Many foundational concepts in economics and ethics such as "trust" or "morality" are often defined informally, without operational criteria or cognitive grounding, which limits their testability and implementation in artificial agents. Drawing on converging empirical evidence from primate behavior, infant cognition, and economic anthropology, we propose a conceptual framework composed of thr…

Neural Responses to Affective Sentences Reveal Signatures of Depression
Aditya Kommineni, Woojae Jeong, Kleanthis Avramidis, Colin McDaniel, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Kristina Lerman, Idan A. Blank, Dani Byrd, Assal Habibi, B. Rael Cahn, Sudarsana Kadiri, Takfarinas Medani, Richard M. Leahy, Shrikanth Narayanan
https://

Neural Responses to Affective Sentences Reveal Signatures of Depression
Major Depressive Disorder (MDD) is a highly prevalent mental health condition, and a deeper understanding of its neurocognitive foundations is essential for identifying how core functions such as emotional and self-referential processing are affected. We investigate how depression alters the temporal dynamics of emotional processing by measuring neural responses to self-referential affective sentences using surface electroencephalography (EEG) in healthy and depressed individuals. Our results r…

This https://arxiv.org/abs/2504.13865 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

A Survey on (M)LLM-Based GUI Agents
Graphical User Interface (GUI) Agents have emerged as a transformative paradigm in human-computer interaction, evolving from rule-based automation scripts to sophisticated AI-driven systems capable of understanding and executing complex interface operations. This survey provides a comprehensive examination of the rapidly advancing field of LLM-based GUI Agents, systematically analyzing their architectural foundations, technical components, and evaluation methodologies. We identify and analyze f…

This https://arxiv.org/abs/2505.19145 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Do Large Language Models (Really) Need Statistical Foundations?
Large language models (LLMs) represent a new paradigm for processing unstructured data, with applications across an unprecedented range of domains. In this paper, we address, through two arguments, whether the development and application of LLMs would genuinely benefit from foundational contributions from the statistics discipline. First, we argue affirmatively, beginning with the observation that LLMs are inherently statistical models due to their profound data dependency and stochastic genera…

Quantum Agents
Eldar Sultanow, Madjid Tehrani, Siddhant Dutta, William J Buchanan, Muhammad Shahbaz Khan
https://arxiv.org/abs/2506.01536 https://

Quantum Agents
This paper explores the intersection of quantum computing and agentic AI by examining how quantum technologies can enhance the capabilities of autonomous agents, and, conversely, how agentic AI can support the advancement of quantum systems. We analyze both directions of this synergy and present conceptual and technical foundations for future quantum-agentic platforms. Our work introduces a formal definition of quantum agents and outlines potential architectures that integrate quantum computing…

This https://arxiv.org/abs/2505.19036 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Weak Physics Informed Neural Networks for Geometry Compatible Hyperbolic Conservation Laws on Manifolds
Physics-informed neural networks (PINNs), owing to their mesh-free nature, offer a powerful approach for solving high-dimensional partial differential equations (PDEs) in complex geometries, including irregular domains. This capability effectively circumvents the challenges of mesh generation that traditional numerical methods face in high-dimensional or geometrically intricate settings. While recent studies have extended PINNs to manifolds, the theoretical foundations remain scarce. Existing t…

Right now, there is a •preposterous• amount of money devoted to propping up an AI industry that is causing massive environmental damage, sits on unethical foundations, is enriching some of the worst people on earth, nurses a whole mountain of fascist fantasies (https://hachyderm.io/@inthehands/114559604028049328), and isn’t even profitable.
For all those reasons, I’m really, really careful about what kind of hype I share. And — this is important! — I’m careful about what kind of hype I allow to get inside my own head.
7/

This https://arxiv.org/abs/2109.06078 has been replaced.
link: https://scholar.google.com/scholar?q=a

BV Functions and Sets of Finite Perimeter on Configuration Spaces
This paper contributes to foundations of the geometric measure theory in the infinite dimensional setting of the configuration space over the Euclidean space $\mathbb R^n$ equipped with the Poisson measure $π$. We first provide a rigorous meaning and construction of the $m$-codimensional Poisson measure -- formally written as "$(\infty-m)$-dimensional Poisson measure" -- on the configuration space. We then show that our construction is consistent with potential analysis by establishing the abs…

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

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

This https://arxiv.org/abs/2406.02149 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Von Neumann's 1927 Trilogy on the Foundations of Quantum Mechanics. Annotated Translations
English translation of John von Neumann's 1927 trilogy on the foundations of quantum mechanics with an introduction and detailed commentary.

Thread and Memory-Safe Programming with CLASS
Lu\'is Caires (Instituto Superior T\'ecnico)
https://arxiv.org/abs/2505.20848 https://

Thread and Memory-Safe Programming with CLASS
CLASS is a proof-of-concept general purpose linear programming language, flexibly supporting realistic concurrent programming idioms, and featuring an expressive linear type system ensuring that programs (1) never misuse or leak stateful resources or memory, (2) never deadlock, and (3) always terminate. The design of CLASS and the strong static guarantees of its type system originates in its Linear Logic and proposition-as-types foundations. However, instead of focusing on its theoretical found…

Cone-jet Stokes solutions in strong viscous flows: the vanishing flow rate limit
Alfonso M. Ganan-Calvo, Miguel A. Herrada, Jens Eggers
https://arxiv.org/abs/2505.24741

Cone-jet Stokes solutions in strong viscous flows: the vanishing flow rate limit
Steady tip streaming in the vanishing flow rate limit has been evidenced both experimentally and numerically in the literature. However, local conical Stokes flow solutions supporting these results at vanishing small scales around the emitting tip have remained elusive. This work presents approximate local conical solutions in liquid-liquid flow focusing and tip streaming, in general, as the limit of a macroscopic vanishing issued flow rate. This provides mathematical foundations for the existe…

Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence
Kordel K. France, Rohith Peddi, Nik Dennler, Ovidiu Daescu
https://arxiv.org/abs/2506.00398

Position: Olfaction Standardization is Essential for the Advancement of Embodied Artificial Intelligence
Despite extraordinary progress in artificial intelligence (AI), modern systems remain incomplete representations of human cognition. Vision, audition, and language have received disproportionate attention due to well-defined benchmarks, standardized datasets, and consensus-driven scientific foundations. In contrast, olfaction - a high-bandwidth, evolutionarily critical sense - has been largely overlooked. This omission presents a foundational gap in the construction of truly embodied and ethica…

This https://arxiv.org/abs/2410.08948 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMA_…

Emergent social conventions and collective bias in LLM populations
Social conventions are the backbone of social coordination, shaping how individuals form a group. As growing populations of artificial intelligence (AI) agents communicate through natural language, a fundamental question is whether they can bootstrap the foundations of a society. Here, we present experimental results that demonstrate the spontaneous emergence of universally adopted social conventions in decentralized populations of large language model (LLM) agents. We then show how strong coll…

This https://arxiv.org/abs/2411.11824 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Theoretical Foundations of Conformal Prediction
This book is about conformal prediction and related inferential techniques that build on permutation tests and exchangeability. These techniques are useful in a diverse array of tasks, including hypothesis testing and providing uncertainty quantification guarantees for machine learning systems. Much of the current interest in conformal prediction is due to its ability to integrate into complex machine learning workflows, solving the problem of forming prediction sets without any assumptions on …

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
Yufa Zhou, Shaobo Wang, Xingyu Dong, Xiangqi Jin, Yifang Chen, Yue Min, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang
https://arxiv.org/abs/2506.00577

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
Directly training Large Language Models (LLMs) for Multi-Agent Systems (MAS) remains challenging due to intricate reward modeling, dynamic agent interactions, and demanding generalization requirements. This paper explores whether post-training techniques, specifically Supervised Fine-Tuning (SFT) and Reinforcement Learning with Verifiable Rewards (RLVR), can effectively $\textit{generalize}$ to multi-agent scenarios. We use economic reasoning as a testbed, leveraging its strong foundations in m…

A Conceptual Introduction to Hetero-functional Graph Theory for Systems-of-Systems
Amro M. Farid, Amirreza Hosseini, John C. Little
https://arxiv.org/abs/2505.24046

A Conceptual Introduction to Hetero-functional Graph Theory for Systems-of-Systems
A defining feature of twenty first century engineering challenges is their inherent complexity, demanding the convergence of knowledge across diverse disciplines. Establishing consistent methodological foundations for engineering systems remains a challenge -- one that both systems engineering and network science have sought to address. Model-based systems engineering (MBSE) has recently emerged as a practical, interdisciplinary approach for developing complex systems from concept through imple…

Biden's record on covid
Saw a comment along the lines of: "seems unfair to criticise Biden's record on covid, while the situation now under Trump is so much worse".
But I don't think of them as separate. Biden's government _contributed_ to how covid stands under Trump.
If Biden's lot had taken the opportunity to educate people (at least the ones open to considering science findings) that
- it's airborne like smoke
- an empty room can hold infectious virus
- air filters, UV and fresh air reduce the levels of it
- masks work better the better they fit
- you can be infectious without/before symptoms
- you're fairly likely still to be infectious for 10 days, a few people longer
- current vaccines don't stop you catching it or transmitting it
- it can mess with your immune system so you're more likely to catch other things
- vaccinated people can still get Long Covid
- it's not "mild", it's just that the damage is quiet
then even if they hadn't done anything more to address the problem, people would be in a far better position to deploy their own common sense.
And unlike funding or laws, that investment in _knowledge_ is something it would be difficult for Trump's lot to roll back.
But Biden & co chose instead to play down the risks, and explicitly or implicitly mislead people (e.g. the 5-day quarantine, which contradicts the real infectious period).
So, yes it's worse now, but they _contributed_ to how it is now. They chose to encourage misapprehensions and confusion, and the effects of that choice are still playing out now.
Not letting them off the hook on the grounds of being comparatively "less bad", when they themselves laid some of the foundations of the current state of play.
#covid #Biden #USPol #CovidIsntOver

Poincar\'e on Gibbs and on Probability in Statistical Mechanics
Bruce D. Popp
https://arxiv.org/abs/2505.12168 https://arxiv.org/…

Poincaré on Gibbs and on Probability in Statistical Mechanics
This paper reviews a paper from 1906 by J. Henri Poincaré on statistical mechanics with a background in his earlier work and notable connections to J. Willard Gibbs. Poincaré's paper presents important ideas that are still relevant for understanding the need for probability in statistical mechanics. Poincaré understands the foundations of statistical mechanics as a many-body problem in analytical mechanics (reflecting his 1890 monograph on The Three-Body Problem and the Equations of Dynamics…