Tootfinder

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
Anton Changalidis, Aki H\"arm\"a
https://arxiv.org/abs/2506.14704

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data
This paper studies how the model architecture and data configurations influence the empirical memorization capacity of generative transformers. The models are trained using synthetic text datasets derived from the Systematized Nomenclature of Medicine (SNOMED) knowledge graph: triplets, representing static connections, and sequences, simulating complex relation patterns. The results show that embedding size is the primary determinant of learning speed and capacity, while additional layers provi…

Beyond the Plane: A 3D Representation of Human Personal Space for Socially-Aware Robotics
Caio C. G. Ribeiro, Douglas G. Macharet
https://arxiv.org/abs/2506.13937

Beyond the Plane: A 3D Representation of Human Personal Space for Socially-Aware Robotics
The increasing presence of robots in human environments requires them to exhibit socially appropriate behavior, adhering to social norms. A critical aspect in this context is the concept of personal space, a psychological boundary around an individual that influences their comfort based on proximity. This concept extends to human-robot interaction, where robots must respect personal space to avoid causing discomfort. While much research has focused on modeling personal space in two dimensions, …

General and Estimable Learning Bound Unifying Covariate and Concept Shifts
Hongbo Chen, Li Charlie Xia
https://arxiv.org/abs/2506.12829 https://

General and Estimable Learning Bound Unifying Covariate and Concept Shifts
Generalization under distribution shift remains a core challenge in modern machine learning, yet existing learning bound theory is limited to narrow, idealized settings and is non-estimable from samples. In this paper, we bridge the gap between theory and practical applications. We first show that existing bounds become loose and non-estimable because their concept shift definition breaks when the source and target supports mismatch. Leveraging entropic optimal transport, we propose new support…

Is this a parody?
I don’t do #InfoSec or other cons so I don’t have a strong sense of whether the “Open Space” concept is brilliant or uproariously absurd. I lean towards the latter because it just seems to me like a recipe for people standing around.

concept: "will it blend" but it's about an it/its headmate

Positive Sharing and Abstract Machines
Beniamino Accattoli, Claudio Sacerdoti Coen, Jui-Hsuan Wu
https://arxiv.org/abs/2506.14131 https://

Positive Sharing and Abstract Machines
Wu's positive $λ$-calculus is a recent call-by-value $λ$-calculus with sharing coming from Miller and Wu's study of the proof-theoretical concept of focalization. Accattoli and Wu showed that it simplifies a technical aspect of the study of sharing; namely it rules out the recurrent issue of renaming chains, that often causes a quadratic time slowdown. In this paper, we define the natural abstract machine for the positive $λ$-calculus and show that it suffers from an inefficiency: the quad…

Boundedness of Hausdorff-type operators with two-variable kernels on Lebesgue spaces
A. R. Mirotin
https://arxiv.org/abs/2506.14333 https://

Boundedness of Hausdorff-type operators with two-variable kernels on Lebesgue spaces
A general concept of a Hausdorff-type operator that absorbs all types of operators bearing the name `` Hausdorff operator'' and many others is considered. The characteristic features of this concept are the consideration of kernels depending on an external variable and the action between two arbitrary different sets. Generalizations and analogs of classical results on $L^p$ boundedness of various type of Hausdorff operators are proved for the case of such operators.

Unified Software Engineering agent as AI Software Engineer
Leonhard Applis, Yuntong Zhang, Shanchao Liang, Nan Jiang, Lin Tan, Abhik Roychoudhury
https://arxiv.org/abs/2506.14683 …

Unified Software Engineering agent as AI Software Engineer
The growth of Large Language Model (LLM) technology has raised expectations for automated coding. However, software engineering is more than coding and is concerned with activities including maintenance and evolution of a project. In this context, the concept of LLM agents has gained traction, which utilize LLMs as reasoning engines to invoke external tools autonomously. But is an LLM agent the same as an AI software engineer? In this paper, we seek to understand this question by developing a U…

Which Humans? Inclusivity and Representation in Human-Centered AI
Rada Mihalcea, Nazanin Andalibi, David Jensen, Matthew Turk, Pamela Wisniewski, Holly Yanco
https://arxiv.org/abs/2506.14680

Which Humans? Inclusivity and Representation in Human-Centered AI
As AI systems continue to spread and become integrated into many aspects of society, the concept of "human-centered AI" has gained increasing prominence, raising the critical question of which humans are the AI systems to be centered around.

On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
Craig Steven Wright
https://arxiv.org/abs/2506.13246

On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
This paper presents a formalised architecture for synthetic agents designed to retain immutable memory, verifiable reasoning, and constrained epistemic growth. Traditional AI systems rely on mutable, opaque statistical models prone to epistemic drift and historical revisionism. In contrast, we introduce the concept of the Merkle Automaton, a cryptographically anchored, deterministic computational framework that integrates formal automata theory with blockchain-based commitments. Each agent tran…

Evolving music theory for emerging musical languages
Emmanuel Deruty
https://arxiv.org/abs/2506.14504 https://arxiv.org/pdf/2506.1450…

Evolving music theory for emerging musical languages
This chapter reconsiders the concept of pitch in contemporary popular music (CPM), particularly in electronic contexts where traditional assumptions may fail. Drawing on phenomenological and inductive methods, it argues that pitch is not an ontologically objective property but a perceptual construct shaped by listeners and conditions. Analyses of quasi-harmonic tones reveal that a single tone can convey multiple pitches, giving rise to tonal fission. The perception of pitch may also be multista…

Collaborative Charging Scheduling via Balanced Bounding Box Methods
Fangting Zhou, Bal\'azs Kulcs\'ar, Jiaming Wu
https://arxiv.org/abs/2506.14461 …

Collaborative Charging Scheduling via Balanced Bounding Box Methods
Electric mobility faces several challenges, most notably the high cost of infrastructure development and the underutilization of charging stations. The concept of shared charging offers a promising solution. The paper explores sustainable urban logistics through horizontal collaboration between two fleet operators and addresses a scheduling problem for the shared use of charging stations. To tackle this, the study formulates a collaborative scheduling problem as a bi-objective nonlinear integer…

Functional Change Point Detection via Adjacent Deviation Subspace
Luoyao Yu, Long Feng, Xuehu Zhu
https://arxiv.org/abs/2506.15143 https://

Functional Change Point Detection via Adjacent Deviation Subspace
This paper develops the concept of the Adjacent Deviation Subspace (ADS), a novel framework for reducing infinite-dimensional functional data into finite-dimensional vector or scalar representations while preserving critical information of functional change points. To identify this functional subspace, we propose an efficient dimension reduction operator that overcomes the critical limitation of information loss inherent in traditional functional principal component analysis (FPCA). Building up…

“It doesn’t get anywhere close to The Dark Side Of The Moon, but a few years ago it had clocked up 12 million sales. That’s pretty big!”: Jethro Tull’s Ian Anderson on the band’s classic album — with the “bloody awful” cover https://flip.it/qgpOgk?utm_source=dlvr.it&am…

“It doesn’t get anywhere close to The Dark Side Of The Moon, but a few years ago it had clocked up 12 million sales. That’s pretty big!”: Jethro Tull’s Ian Anderson on the band’s classic album — with the “bloody awful” cover
And no - it's not a concept album!

Tractable Graph Structures in EFX Orientation
V\'aclav Bla\v{z}ej, Sushmita Gupta, M. S. Ramanujan, Peter Strulo
https://arxiv.org/abs/2506.15379 https…

Tractable Graph Structures in EFX Orientation
Since its introduction, envy-freeness up to any good (EFX) has become a fundamental solution concept in fair division of indivisible goods. Its existence remains elusive -- even for four agents with additive utility functions, it is unknown whether an EFX allocation always exists. Unsurprisingly, restricted settings to delineate tractable and intractable cases have been explored. Christadolou, Fiat et al.[EC'23] introduced the notion of EFX-orientation, where the agents form the vertices of a g…

Rota-Baxter operators on compact simple Lie groups and algebras
Saveliy V. Skresanov
https://arxiv.org/abs/2506.14324 https://arxiv.o…

Rota-Baxter operators on compact simple Lie groups and algebras
A Rota-Baxter operator on a Lie group $ G $ is a smooth map $ B : G \to G $ such that $ B(g)B(h) = B(gB(g)hB(g)^{-1}) $ for all $ g, h \in G $. This concept was introduced in 2021 by Guo, Lang and Sheng as a Lie group analogue of Rota-Baxter operators of weight 1 on Lie algebras. We show that the only Rota-Baxter operators on compact simple Lie groups are the trivial map and the inverse map. A similar description for Rota-Baxter operators of weight 1 on compact simple Lie algebras is provided.

Microgrid Operation Control with Adaptable Droop Gains
E. D. Gomez Anccas, C. A. Hans, D. Schulz
https://arxiv.org/abs/2506.15192 https://

Microgrid Operation Control with Adaptable Droop Gains
Modern low-carbon power systems come with many challenges, such as increased inverter penetration and increased uncertainty from renewable sources and loads. In this context, the microgrid concept is a promising approach, which is based on a segmentation of the grid into independent smaller cells that can run either in grid-connected or standalone mode.In microgrids, droop control is widely used for primary control. It enables proportional power sharing, depending on the droop gains. Operation …

The Central Nullstellensatz over Centrally Algebraically Closed Division Rings
Masood Aryapoor
https://arxiv.org/abs/2506.15187 https://

The Central Nullstellensatz over Centrally Algebraically Closed Division Rings
We introduce the concept of centrally algebraically closed division rings and show that a division ring satisfies the central Nullstellensatz if and only if it is centrally algebraically closed. We also show that every division ring can be embedded in a centrally algebraically closed division ring.

Very early research (prepaper, not validated etc.) but interesting concept to read about,
"Self-Adapting Language Models "
https://jyopari.github.io/posts/seal?…

This https://arxiv.org/abs/2505.14049 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
The pursuit of decision safety in clinical applications highlights the potential of concept-based methods in medical imaging. While these models offer active interpretability, they often suffer from concept leakages, where unintended information within soft concept representations undermines both interpretability and generalizability. Moreover, most concept-based models focus solely on local explanations (instance-level), neglecting the global decision logic (dataset-level). To address these li…

Electrically insulating materials for centrifugal mirrors
Nick R. Schwartz, Carlos A. Romero-Talam\'as, Marlene I. Patino, Daisuke Nishijima, Matthew J. Baldwin, Russel P. Doerner, Artur Perevalov, Nathan Eschbach, Zachary D. Short, John Cumings, Ian G. Abel, Brian L. Beaudoin, Timothy W. Koeth
https://arxiv.org/abs/2506.148…

Electrically insulating materials for centrifugal mirrors
The centrifugal mirror confinement scheme incorporates supersonic rotation into a magnetic mirror device, which stabilizes and heats the plasma. This concept is under investigation in the Centrifugal Mirror Fusion Experiment (CMFX) at the University of Maryland. Plasma rotation is driven by an axial magnetic field and a radial electric field that lead to velocity drifts in the azimuthal direction. An electrically insulating material is required to prevent the applied voltage from shorting on th…

Movable Dirac Points with Ferroelectrics: Kink States and Berry Curvature Dipoles
Konstantin S. Denisov, Yuntian Liu, Igor \v{Z}uti\'c
https://arxiv.org/abs/2506.13960

Movable Dirac Points with Ferroelectrics: Kink States and Berry Curvature Dipoles
Two-dimensional (2D) Dirac states and Dirac points with linear dispersion are the hallmark of graphene, topological insulators, semimetals, and superconductors. Lowering a symmetry by the ferroelectric polarization opens the gap in Dirac points and introduces finite Berry curvature. Combining this with Dirac points detached from high symmetry points of the Brillouin zone offers additional ways to tailor topological properties. We explore this concept by studying topological phenomena emerging i…

"Smart glasses offering a combination of sensory substitution based 'raw' vision and AI-based scene description and OCR appears to be technically and economically the most feasible and sustainable way toward meeting expectations, needs and interests of many blind people." https://www.artificialvision…

Smart contracts and reaction-function games
Jens Gudmundsson, Jens Leth Hougaard
https://arxiv.org/abs/2506.14413 https://arxiv.org/p…

Smart contracts and reaction-function games
Blockchain-based smart contracts offer a new take on credible commitment, where players can commit to actions in reaction to actions of others. Such reaction-function games extend on strategic games with players choosing reaction functions instead of strategies. We formalize a solution concept in terms of fixed points for such games, akin to Nash equilibrium, and prove equilibrium existence. Reaction functions can mimic "trigger" strategies from folk theorems on infinitely repeated games -- but…

‘c’: More Than Just Fast as We Unpack the Universe’s Master Constant
Let's dive into the universe's ultimate speed limit: the speed of light. It's a concept so fundamental that it underpins much of modern physics, yet so mind-bogglingly fast that, as you say, human intuition struggles to truly grasp it. We call it 'c', and its value in a vacuum is precisely 299,792,458 meters per second. That's not just an estimate; since 1983, the meter has been precisely defin…

This https://arxiv.org/abs/2505.09869 has been replaced.
initial toot: https://mastoxiv.page/@a…

How does the limited resolution of space plasma analyzers affect the accuracy of space plasma measurements?
We investigate the systematic errors in measured plasma velocity distribution functions and their corresponding velocity moments, arising from the limited energy and angular resolution of top-hat electrostatic analyzers. For this purpose, we develop a forward model of a concept analyzer that simulates observations of typical solar wind proton plasma particles with their velocities following a Maxwell distribution function. We then review the standard conversion of the observations to physical p…

Gradient-Weighted, Data-Driven Normalization for Approximate Border Bases -- Concept and Computation
Hiroshi Kera, Achim Kehrein
https://arxiv.org/abs/2506.09529

Gradient-Weighted, Data-Driven Normalization for Approximate Border Bases -- Concept and Computation
This paper studies the concept and the computation of approximately vanishing ideals of a finite set of data points. By data points, we mean that the points contain some uncertainty, which is a key motivation for the approximate treatment. A careful review of the existing border basis concept for an exact treatment motivates a new adaptation of the border basis concept for an approximate treatment. In the study of approximately vanishing polynomials, the normalization of polynomials plays a vit…

The User Perspective on Island-Ready 6G Communication: A Survey of Future Smartphone Usage in Crisis-Struck Areas with Local Cellular Connectivity
Leon Janzen, Florentin Putz, Marc-Andr\'e Kaufhold, Kolja Straub, Matthias Hollick
https://arxiv.org/abs/2506.13466

The User Perspective on Island-Ready 6G Communication: A Survey of Future Smartphone Usage in Crisis-Struck Areas with Local Cellular Connectivity
Using smartphone apps during crises is well-established, proving critical for efficient crisis response. However, such apps become futile without an Internet connection, which is a common issue during crises. The ongoing 6G standardization explores the capability to provide local cellular connectivity for areas cut off from the Internet in crises. This paper introduces to the HCI community the concept of cellular island connectivity in isolated areas, promising a seamless transition from normal…

Iterated finite group actions on closed connected aspherical manifolds
Jordi Daura Serrano
https://arxiv.org/abs/2506.13184 https://a…

Iterated finite group actions on closed connected aspherical manifolds
In this paper we use free iterated actions and the iterated discrete degree of symmetry to obtain rigidity results on aspherical manifolds. We also introduce the concept of the length of an iterated action and we study it for nilmanifolds, solvmanifolds and locally symmetric spaces.

A Compendium of Subset Search Problems and Reductions relating to the Parsimonious Property
Celina Janet Bartlett
https://arxiv.org/abs/2506.12255 https://…

A Compendium of Subset Search Problems and Reductions relating to the Parsimonious Property
This thesis centers around the concept of Subset Search Problems (SSP), a type of computational problem introduced by Grüne and Wulf to analyze the complexity of more intricate optimization problems. These problems are given an input set, a so-called universe, and their solution lies within their own universe, e.g. the shortest path between two point is a subset of all possible paths. Due to this, reductions upholding the SSP property require an injective embedding from the universe of the fir…

Towards an Approach for Evaluating the Impact of AI Standards
Julia Lane
https://arxiv.org/abs/2506.13839 https://arxiv.org/pdf/2506.…

Towards an Approach for Evaluating the Impact of AI Standards
There have been multiple calls for investments in the development of AI standards that both preserve the transformative potential and minimize the risks of AI. The goals of AI standards, particularly with respect to AI data, performance, and governance, are to promote innovation and public trust in systems that use AI. However, there is a lack of a formal or shared method to measure the impact of these standardization activities on the goals of innovation and trust. This concept paper proposes …

Collaborative Beamforming for Communication Applications Using a Two-Element Fully-Wireless Open-Loop Coherent Distributed Array
Jason M. Merlo, Jeffrey A. Nanzer
https://arxiv.org/abs/2506.13014

Collaborative Beamforming for Communication Applications Using a Two-Element Fully-Wireless Open-Loop Coherent Distributed Array
In this work we demonstrate a proof of concept of a fully-wireless two-node open-loop coherent distributed communication system and evaluate its performance by transmitting QPSK , 64-, and 256-QAM constellations at a symbol rate of 2 MBd over a 58 m link in an urban environment. The system is implemented in a distributed manner with on-node processing using software-defined radios (SDRs) and wireless internode communication to share coordination information and does not rely on external time or…

Our colleague Ebrahim Norouzi is presenting ConExion: Concept Extraction with Large Language Models, yoint work with Sven Hertling. Comprehensive Prompt Engineering Study of LLM-based concept extraction for domain coverage evaluation of ontologies.
arxive version: https://arxiv.org/abs/2504.12915…

ConExion: Concept Extraction with Large Language Models
In this paper, an approach for concept extraction from documents using pre-trained large language models (LLMs) is presented. Compared with conventional methods that extract keyphrases summarizing the important information discussed in a document, our approach tackles a more challenging task of extracting all present concepts related to the specific domain, not just the important ones. Through comprehensive evaluations of two widely used benchmark datasets, we demonstrate that our method improv…

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Guojun Huang, Jiancheng An, Lu Gan, Dusit Niyato, M\'erouane Debbah, Tie Jun Cui
https://arxiv.org/abs/2506.12368

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Semantic communication (SemCom) powered by generative artificial intelligence enables highly efficient and reliable information transmission. However, it still necessitates the transmission of substantial amounts of data when dealing with complex scene information. In contrast, the stacked intelligent metasurface (SIM), leveraging wave-domain computing, provides a cost-effective solution for directly imaging complex scenes. Building on this concept, we propose an innovative SIM-aided multi-moda…

The Combinatorial Rank of Subsets: Metric Density in Finite Hamming Spaces
Jamolidin K. Abdurakhmanov
https://arxiv.org/abs/2506.13081 https://

The Combinatorial Rank of Subsets: Metric Density in Finite Hamming Spaces
We introduce a novel concept of rank for subsets of finite metric spaces E^n_q (the set of all n-dimensional vectors over an alphabet of size q) equipped with the Hamming distance, where the rank R(A) of a subset A is defined as the number of non-constant columns in the matrix formed by the vectors of A. This purely combinatorial definition provides a new perspective on the structure of finite metric spaces, distinct from traditional linear-algebraic notions of rank. We establish tight bounds f…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[4/4]:
Improving Large Language Models with Concept-Aware Fine-Tuning
https://

Chaos, coherence and turbulence
Javier Jimenez
https://arxiv.org/abs/2506.13417 https://arxiv.org/pdf/2506.13417

Chaos, coherence and turbulence
This paper is a personal overview of the efforts over the last half century to understand fluid turbulence in terms of simpler coherent units. The consequences of chaos and the concept of coherence are first reviewed, using examples from free-shear and wall-bounded shear flows, and including how the simplifications due to coherent structures have been useful in the conceptualization and control of turbulence. It is remarked that, even if this approach has revolutionized our understanding of the…

Quantum Fisher information from tensor network integration of Lyapunov equation
Gabriela W\'ojtowicz, Susana F. Huelga, Marek M. Rams, Martin B. Plenio
https://arxiv.org/abs/2506.11330

Quantum Fisher information from tensor network integration of Lyapunov equation
The Quantum Fisher Information (QFI) is a geometric measure of state deformation calculated along the trajectory parameterizing an ensemble of quantum states. It serves as a key concept in quantum metrology, where it is linked to the fundamental limit on the precision of the parameter that we estimate. However, the QFI is notoriously difficult to calculate due to its non-linear mathematical form. For mixed states, standard numerical procedures based on eigendecomposition quickly become impracti…

${\mu}$LHC: Antimuon Ring and HL-LHC based ${\mu}^ p$ Collider
D. Akturk, A. C. Canbay, H. Dagistanli, B. Dagli, U. Kaya, B. Ketenoglu, A. Kilic, F. Kocak, A. Ozturk, S. Sultansoy, I. Tapan, F. Zimmermann
https://arxiv.org/abs/2506.15445

$μ$LHC: Antimuon Ring and HL-LHC based $μ^+p$ Collider
Conceptual design and performance evaluation of HL-LHC based antimuon-proton collider ($μ$LHC) are presented. Leveraging the $μ$TRISTAN concept based on established J-PARC ultra-cold $μ^{+}$ beam technology, $μ$LHC will give the opportunity to achieve a 5.3 TeV center-of-mass energy, significantly surpassing EIC and LHeC. Two booster ring options for $μ^{+}$ acceleration, namely, a $μ$TRISTAN-based and a repurposed LHeC ERL-based systems, are explored. Achievable luminosities are predicte…

Landbase, whose GPT-4o-based AI tool automates outreach marketing, raised a $30M Series A co-led by Ashton Kutcher's Sound Ventures and Picus Capital (Julie Bort/TechCrunch)
https://techcrunch.com/2025/06/12/how-

How AI sales startup Landbase nabbed Ashton Kutcher’s Sound Ventures to lead its $30M Series A | TechCrunch
A concept Landbase's CEO calls "digital trust" led nearly 130 VCs to pursue the "vibe GTM" startup.

I love how the “#ColeValley Town Square” pop-up turns Carl St. into a relaxed oasis. It’s a great proof-of-concept for permanently closing the street where the #NJudah emerges from the Sunset Tunnel (and extending the footprint of Gamble Memorial Park).

Experimental search for electric dipole moments of light radioactive nuclei
Chavdar Dutsov, Timothy Hume, Maxim Pospelov, Philipp Schmidt-Wellenburg
https://arxiv.org/abs/2506.13588

Experimental search for electric dipole moments of light radioactive nuclei
We discuss a search for the electric dipole moment (EDM) of a light beta-radioactive ion using a compact ion trap by adapting the "frozen-spin" method. The measurement will be done on ions stripped of their valence electrons, thereby bypassing the significant Schiff screening that hinders the application of successful contemporary EDM searches using heavy neutral atoms and molecules to light nuclei. We identified $^8$Li as the most promising candidate for a proof-of-concept EDM search and we es…

With moving my calendar away from Google I was looking for a Caldev solution, but ...
Interesting take on CalDev and encryption on Cryptpad's github page.
No chance that that will happen encrypted.
It's waiting for an solution in the Caldev protocol. 😇
[Feature request] Possibility to have CalDAV for the Calendar · Issue #823 · cryptpad/cryptpad

Revisiting Taxicab Apollonius Circles
Kevin P. Thompson
https://arxiv.org/abs/2506.12058 https://arxiv.org/pdf/2506.12058

Revisiting Taxicab Apollonius Circles
The existence of excircles and an Apollonius circle for a triangle in taxicab geometry are connected to the concept of inscribed triangles.

Resilient-native and Intelligent NextG Systems
Mehdi Bennis
https://arxiv.org/abs/2506.12795 https://arxiv.org/pdf/2506.12795

Resilient-native and Intelligent NextG Systems
Just like power, water and transportation systems, wireless networks are a crucial societal infrastructure. As natural and human-induced disruptions continue to grow, wireless networks must be resilient to unforeseen events, able to withstand and recover from unexpected adverse conditions, shocks, unmodeled disturbances and cascading failures. Despite its critical importance, resilience remains an elusive concept, with its mathematical foundations still underdeveloped. Unlike robustness and rel…

On exterior-algebraic quaternions with application to Maxwell equations
Ivano Colombaro
https://arxiv.org/abs/2506.13927 https://arxi…

On exterior-algebraic quaternions with application to Maxwell equations
Within the framework of exterior algebra, the concept of time-like quaternions has been previously established. This paper advances beyond the existing structure by elucidating the procedure for constructing time-like quaternions with the feature of complex scalar terms. We delineate on the crucial role of these extended definition of quaternions in formulating Maxwell equations, having properly defined a pure quaternion containing the components of the classical electric and magnetic fields. T…

This https://arxiv.org/abs/2505.24492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Object Centric Concept Bottlenecks
Developing high-performing, yet interpretable models remains a critical challenge in modern AI. Concept-based models (CBMs) attempt to address this by extracting human-understandable concepts from a global encoding (e.g., image encoding) and then applying a linear classifier on the resulting concept activations, enabling transparent decision-making. However, their reliance on holistic image encodings limits their expressiveness in object-centric real-world settings and thus hinders their abilit…

Information-theoretic Estimation of the Risk of Privacy Leaks
Kenneth Odoh
https://arxiv.org/abs/2506.12328 https://arxiv.org/pdf/250…

Information-theoretic Estimation of the Risk of Privacy Leaks
Recent work~\cite{Liu2016} has shown that dependencies between items in a dataset can lead to privacy leaks. We extend this concept to privacy-preserving transformations, considering a broader set of dependencies captured by correlation metrics. Specifically, we measure the correlation between the original data and their noisy responses from a randomizer as an indicator of potential privacy breaches. This paper aims to leverage information-theoretic measures, such as the Maximal Information Coe…

2/ Trump: “I have a tariff concept. Mark has a different concept which is something that some people like”
😐
#CanPoli #CdnPoli #G7 #Trump #TradeWar

DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
Shanawaj S Madarkar, Mahajabeen Madarkar, Madhumitha V, Teli Prakash, Konda Reddy Mopuri, Vinaykumar MV, KVL Sathwika, Adarsh Kasturi, Gandla Dilip Raj, PVN Supranitha, Harsh Udai
https://arxiv.org/abs/2506.06099…

DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research
Artificial intelligence is poised to augment dermatological care by enabling scalable image-based diagnostics. Yet, the development of robust and equitable models remains hindered by datasets that fail to capture the clinical and demographic complexity of real-world practice. This complexity stems from region-specific disease distributions, wide variation in skin tones, and the underrepresentation of outpatient scenarios from non-Western populations. We introduce DermaCon-IN, a prospectively cu…

Poisson-type problems with transmission conditions at boundaries of infinite metric trees
Maryna Kachanovska, Kiyan Naderi, Konstantin Pankrashkin
https://arxiv.org/abs/2506.11218

Poisson-type problems with transmission conditions at boundaries of infinite metric trees
The paper introduces a Poisson-type problem on a mixed-dimensional structure combining a Euclidean domain and a lower-dimensional self-similar component touching a compact surface (interface). The lower-dimensional piece is a so-called infinite metric tree (one-dimensional branching structure), and the key ingredient of the study is a rigorous definition of the gluing conditions between the two components. These constructions are based on the recent concept of embedded trace maps and some abstr…

This https://arxiv.org/abs/2305.14653 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Conceptualizing educational opportunity hoarding: the emergence of hoarding without hoarders
Social scientists increasingly use the concept of opportunity hoarding to explain the formation of Black-White educational inequalities. However, this concept is often loosely defined, leading to varied interpretations of the inequality-producing mechanisms it captures. To bring clarity to this valuable sociological concept, this theoretical paper, informed by the concept's original definition and existing empirical research, proposes a more precise definition of opportunity hoarding and formal…

Please, tell me again how anarchism is chaos.
If this whole sorry episode of human history shows us one thing, it’s not that “we don’t need leaders” but that the very concept of “leaders” is incompatible with the future of our species. Advanced civilisation cannot survive under these primitive hierarchies that concentrate inordinate amounts of power in the hands of a relative handful of individuals. Look at the sorry state of these danger clowns.
Either we find ways to devolve po…

Robert Reich (@rbreich@masto.ai)
Attached: 1 image Musk vs. Trump https://robertreich.substack.com/p/sunday-thought-ab9?utm_source=dlvr.it&utm_medium=mastodon

InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
Zhenzhi Wang, Jiaqi Yang, Jianwen Jiang, Chao Liang, Gaojie Lin, Zerong Zheng, Ceyuan Yang, Dahua Lin
https://arxiv.org/abs/2506.09984

InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
End-to-end human animation with rich multi-modal conditions, e.g., text, image and audio has achieved remarkable advancements in recent years. However, most existing methods could only animate a single subject and inject conditions in a global manner, ignoring scenarios that multiple concepts could appears in the same video with rich human-human interactions and human-object interactions. Such global assumption prevents precise and per-identity control of multiple concepts including humans and …

High-gain model-following control for trajectory tracking
Nicals Tietze, Kai Wulff, Johann Reger
https://arxiv.org/abs/2506.13463 https://

High-gain model-following control for trajectory tracking
We consider trajectory tracking for minimum-phase nonlinear systems in Byrnes-Isidori form using the model-following control (MFC) architecture. The tracking problem is motivated by a hierarchical control concept where a higher-level instance provides the reference trajectory at run-time. We present a computational efficient implementation of the feedback linearisation MFC design, and apply high-gain feedback in the process control loop (PCL) to achieve practical tracking in presence of Lipschi…

Blowing in a drinking straw: introducing quantum physics
Lorenzo Galante
https://arxiv.org/abs/2506.11524 https://arxiv.org/pdf/2506.…

Blowing in a drinking straw: introducing quantum physics
We present an educational approach aimed at introducing the fundamental concepts of quantum mechanics (QM). By exploiting the formal analogy between sound wave behavior in an acoustic pipe (a drinking straw) and the quantum infinite square potential well, we provide an intuitive framework that explains the origin of energy quantization in bound quantum systems (such as atoms), introduces the concept of wave function (WF), and lays the groundwork for discussing the Heisenberg uncertainty relatio…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
https://arxiv.org/abs/2506.…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
While robotic automation has demonstrated remarkable performance, such as executing hundreds of experiments continuously over several days, it is challenging to design a program that synchronizes the robot's movements with the experimental jigs to conduct an experiment. We propose a concept that enables the automation of experiments by utilizing dual demonstrations of robot motions and jig operations by chemists in an experimental environment constructed to be controlled by a robot. To verify t…

Symmetry-preserving neural networks in lattice field theories
Matteo Favoni
https://arxiv.org/abs/2506.12493 https://arxiv.org/pdf/25…

Symmetry-preserving neural networks in lattice field theories
This thesis deals with neural networks that respect symmetries and presents the advantages in applying them to lattice field theory problems. The concept of equivariance is explained, together with the reason why such a property is crucial for the network to preserve the desired symmetry. The benefits of choosing equivariant networks are first illustrated for translational symmetry on a complex scalar field toy model. The discussion is then extended to gauge theories, for which Lattice Gauge Eq…

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
Nico Meyer, Christopher Mutschler, Andreas Maier, Daniel D. Scherer
https://arxiv.org/abs/2506.11552

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
Quantum error correction is crucial for protecting quantum information against decoherence. Traditional codes like the surface code require substantial overhead, making them impractical for near-term, early fault-tolerant devices. We propose a novel objective function for tailoring error correction codes to specific noise structures by maximizing the distinguishability between quantum states after a noise channel, ensuring efficient recovery operations. We formalize this concept with the distin…

On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
Craig Steven Wright
https://arxiv.org/abs/2506.13246

On Immutable Memory Systems for Artificial Agents: A Blockchain-Indexed Automata-Theoretic Framework Using ECDH-Keyed Merkle Chains
This paper presents a formalised architecture for synthetic agents designed to retain immutable memory, verifiable reasoning, and constrained epistemic growth. Traditional AI systems rely on mutable, opaque statistical models prone to epistemic drift and historical revisionism. In contrast, we introduce the concept of the Merkle Automaton, a cryptographically anchored, deterministic computational framework that integrates formal automata theory with blockchain-based commitments. Each agent tran…

Choices or constraints: decoding financial empowerment among women entrepreneurs in France
Jonathan Labb\'e (CEREFIGE, IAE Nancy, UL), Typhaine Leb\`egue (VALLOREM, UT), Abdel Malik Ola (VALLOREM, UT)
https://arxiv.org/abs/2505.10064

Choices or constraints: decoding financial empowerment among women entrepreneurs in France
This research examines the empowerment of women entrepreneurs in the context of entrepreneurial financing in France. It explores the factors that allow some women entrepreneurs to access certain categories of external finance more easily. The theoretical framework used is based on the concept of empowerment, explored through its personal and relational dimensions. The study relies on a quantitative approach, using data from a representative of women entrepreneurs. The results show that the stat…

Structural Parameterizations of $k$-Planarity
Tatsuya Gima, Yasuaki Kobayashi, Yuto Okada
https://arxiv.org/abs/2506.10717 https://ar…

Structural Parameterizations of $k$-Planarity
The concept of $k$-planarity is extensively studied in the context of Beyond Planarity. A graph is $k$-planar if it admits a drawing in the plane in which each edge is crossed at most $k$ times. The local crossing number of a graph is the minimum integer $k$ such that it is $k$-planar. The problem of determining whether an input graph is $1$-planar is known to be NP-complete even for near-planar graphs [Cabello and Mohar, SIAM J. Comput. 2013], that is, the graphs obtained from planar graphs by…

I think it is time to start organizing Peoples' Courts to try FFOTUS and his maga-klan.
Right now it is sufficient to define the general shape of the courts, their jurisdiction, the outline of procedures, and to enunciate the "natural law" standards to which the accused will be measured.
I generally hate the concept of "natural law", but in this case it is apt because that's what the maga-heads seem to like (see abominations such many cases from SCOTUS…

Generalized Symmetries in Shallow Water
V. Taghiloo, M. H. Vahidinia
https://arxiv.org/abs/2506.09190 https://arxiv.org/pdf/2506.0919…

Generalized Symmetries in Shallow Water
Recent developments have extended the concept of global symmetries in several directions, offering new perspectives across a wide range of physical systems. This work shows that generalized global symmetries naturally emerge in shallow water systems. In particular, we demonstrate that both global and gauge subsystem symmetries-previously studied primarily in exotic field theories-arise intrinsically in the dynamics of shallow water flows. A central result is that the local conservation of poten…

Gromov's reconstruction theorem and measured Gromov-Hausdorff convergence in Lorentzian geometry
Mathias Braun, Clemens S\"amann
https://arxiv.org/abs/2506.10852

Gromov's reconstruction theorem and measured Gromov-Hausdorff convergence in Lorentzian geometry
We establish Gromov's celebrated reconstruction theorem in Lorentzian geometry. Alongside this result, we introduce and study a natural concept of isomorphy of normalized bounded Lorentzian metric measure spaces. We outline applications to the spacetime reconstruction problem from causal set theory. Lastly, we propose three notions of convergence of (isomorphism classes of) normalized bounded Lorentzian metric measure spaces, for which we prove several fundamental properties.

📣 Calling all GÉANT Project partners…
Got an idea for digital research, data transfer or secure storage solutions to support open science?
The 2025 GÉANT Above-the-Net Services Incubator is officially open for proposals!
This is your opportunity to:
✅ Develop and test your innovative idea
✅ Deliver impact to the whole community through new, shared, open-source services
✅ Help shape the future of GÉANT's Above-the-Net services portfolio
Learn more: …

GÉANT Project Above-the-Net Services Incubator: Call for Proposals | GÉANT CONNECT Online
The GÉANT (GN5-2) Project’s Above-the-Net Services incubator is looking for practical proposals around three areas of service concept investment being developed by the GN5-2 Above-the-Net Services team. These are: Digital Research Environment (DRE) Object Storage Infrastructure Data Movement Infrastructure Through the incubator, the GN5-2 project will offer person months (PMs) to project partners to develop

An 8TB corpus of copyright-free text for training AI models. Comes with two 7B models trained as proof-of-concept.
https://github.com/r-three/common-pile/blob/main/paper.pdf
I'm glad somebody has finally done this. The "we need to break copyrig…

Recently I had a flashback to me telling a friend that I was about to start learning a new concept in programming. Classes. I remember feeling nervous because I felt it was this huge complicated topic, and I already felt my brain was 'full' so-to-speak with programming knowledge. Well that was years ago and now I can't imagine not using classes. It's amazing to look back and see progress! #coding

Flexible and Efficient Drift Detection without Labels
Nelvin Tan, Yu-Ching Shih, Dong Yang, Amol Salunkhe
https://arxiv.org/abs/2506.08734 https://

Flexible and Efficient Drift Detection without Labels
Machine learning models are being increasingly used to automate decisions in almost every domain, and ensuring the performance of these models is crucial for ensuring high quality machine learning enabled services. Ensuring concept drift is detected early is thus of the highest importance. A lot of research on concept drift has focused on the supervised case that assumes the true labels of supervised tasks are available immediately after making predictions. Controlling for false positives while…

"That is the real reason why Starship was doomed to fail from the beginning. It’s not trying to revolutionise the space industry; if it were, its concept, design, and testing plan would be totally different. Instead, the entire project is optimised to fleece as much money from the US taxpayer as possible, and as such, that is all it will ever do."
Wow, this is an interesting piece..
https://www.planetearthandbeyond.co/p/starship-was-doomed-from-the-beginning

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.

Adaptive Bandwidth Sharing for Optimizing QoE of Real-Time Video
Sushi Anna George, Vinay Joseph
https://arxiv.org/abs/2506.09197 https://

Adaptive Bandwidth Sharing for Optimizing QoE of Real-Time Video
The concept of spectrum or bandwidth sharing has gained significant global attention as a means to enhance the efficiency of real-time traffic management in wireless networks. Effective bandwidth sharing enables optimal utilization of available resources, reducing congestion and improving QoE for delay-sensitive applications such as real-time video transmission. In this paper, we propose a novel iterative semi-static bandwidth sharing policy that balances the advantages of both static and dynam…

Admitted symmetries of Backward Stochastic Differential Equations
Anas Ouknine, Paul Lescot
https://arxiv.org/abs/2506.10650 https://…

Admitted symmetries of Backward Stochastic Differential Equations
In this article, we introduce the concept of admitted Lie group of transformations for both backward stochastic differential equations (BSDEs) and forward backward stochastic differential equations (FBSDEs), following the approach of Meleshko et al. An application to BSDE is presented.

Digital Twin-Empowered Cooperative Autonomous Car-sharing Services: Proof-of-Concept
Kazuma Nonomura, Kui Wang, Zongdian Li, Tao Yu, Kei Sakaguchi
https://arxiv.org/abs/2504.20542

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
Bulat Maksudov, Kathleen Curran, Alessandra Mileo
https://arxiv.org/abs/2506.04058

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
An essential step in deploying medical imaging models is ensuring alignment with clinical knowledge and interpretability. We focus on mapping clinical concepts into the latent space of generative models to identify Concept Activation Vectors (CAVs). Using a simple reconstruction autoencoder, we link user-defined concepts to image-level features without explicit label training. The extracted concepts are stable across datasets, enabling visual explanations that highlight clinically relevant feat…

Expansion of a bivariate symmetric mean in the neighborhood of the first bisector
Bakir Farhi
https://arxiv.org/abs/2506.07601 https://

Expansion of a bivariate symmetric mean in the neighborhood of the first bisector
In this paper, we investigate the behavior of a bivariate mean $M$ near the first bisector by establishing, in several significant cases, an important expansion of $M$ derived from the Taylor expansion of a single-variable function. These expansions are made explicit for a number of classical means. This motivates the introduction of the concept of the characteristic function $Q_M$ of a mean $M$, defined as the second partial derivative of $M$ with respect to its first variable, evaluated along…

Cursed Equilibria and Knightian Uncertainty in a Trading Game
Jurek Preker
https://arxiv.org/abs/2506.10663 https://arxiv.org/pdf/250…

Cursed Equilibria and Knightian Uncertainty in a Trading Game
We introduce a novel equilibrium concept that incorporates Knightian uncertainty into the cursed equilibrium (Eyster and Rabin, 2005). This concept is then applied to a two-player game in which agents can engage in trade or refuse to do so. While the Bayesian Nash equilibrium predicts that trade never happens, players do trade in a cursed equilibrium. The inclusion of uncertainty enhances this effect for cursed and uncertainty averse players. This contrasts general findings that uncertainty red…

Emission Properties of a Hybrid Metallized Diamond(001) Photocathode
Louis A. Angeloni, Ir-Jene Shan, W. Andreas Schroeder
https://arxiv.org/abs/2506.12550

Emission Properties of a Hybrid Metallized Diamond(001) Photocathode
The spectral emission characteristics of a proof-of-concept hybrid metallized diamond(001) photocathode are presented. The quantum efficiency (QE) is shown to be determined by the photo-injection efficiency across the ohmic contact at the back metallized face, whereas the mean transverse energy (MTE) of the photoemitted electrons is consistent with a (optical)phonon-assisted and momentum-resonant Franck-Condon mechanism [Phys. Rev. Applied 23, 054065 (2025)] following electron drift transport t…

Large-scale LH2 pipeline infrastructure concept for airports
H. A. Krog, Y. Jooss, H. Fyhn, P. Neks{\aa}, I. Hjorth
https://arxiv.org/abs/2506.09410 https:…

Large-scale LH2 pipeline infrastructure concept for airports
Infrastructure and processes for handling of liquid hydrogen (LH2) is needed to enable large-scale decarbonization of aviation with hydrogen aircraft. At large airports, pipeline and hydrant systems will be important for a mature hydrogen-powered air travel market. As the vaporization of LH2 is a challenge in fuel handling, the pipeline infrastructure must be designed and operated such that the fuel is subcooled. Through modelling and simulation of aircraft tanks refuelling by a pipeline infras…

Speculative Design in Spiraling Time: Methods and Indigenous HCI
James Eschrich, Cole McMullen, Sarah Sterman
https://arxiv.org/abs/2506.10229 https://

Speculative Design in Spiraling Time: Methods and Indigenous HCI
In this position paper, we first discuss the uptake of speculative design as a method for Indigenous HCI. Then, we outline how a key assumption about temporality threatens to undermine the usefulness of speculative design in this context. Finally, we briefly sketch out a possible alternative understanding of speculative design, based on the concept of "spiraling time," which could be better suited for Indigenous HCI.

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new/
[2/5]:
Structuring Concept Space with the Musical Circle of Fifths by Utilizing Music Grammar Based Acti...

F-semi-transitivity of cosine operator functions
Stefan Ivkovic
https://arxiv.org/abs/2506.06529 https://arxiv.org/pdf/2506.06529

F-semi-transitivity of cosine operator functions
Motivated by the concept of topological transitivity for supercyclicity, in this paper we introduce the concept of Furstenbeg-semi-transitivity. Then we provide sufficient conditions for the cosine operator function generated by the adjoints of weighted composition operators to be Furstenberg-semi-transitive on the space of Radon measures on a locally compact, non-compact Hausdorff space. As a special case, we consider the case when the corresponding Furstenberg family under consideration is th…

A theory of vectorial probability for quantum correlations
Sheng Feng
https://arxiv.org/abs/2506.12101 https://arxiv.org/pdf/2506.121…

A theory of vectorial probability for quantum correlations
Randomness is a ubiquitous phenomenon that is practically accompanied by physical events described by probability theory. However, probability by definition in the theory is a nonnegative scalar quantity. Here, we propose the concept of vectorial probability, quantified as a vector with interesting but hidden geometry, and develop a theory to describe random events with correlations dictated by this geometry. Based on this theory, we construct a local model that is able to reproduce the predict…

PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages
Deniz Simsek, Aryaz Eghbali, Michael Pradel
https://arxiv.org/abs/2506.04962

PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages
Security vulnerabilities in software packages are a significant concern for developers and users alike. Patching these vulnerabilities in a timely manner is crucial to restoring the integrity and security of software systems. However, previous work has shown that vulnerability reports often lack proof-of-concept (PoC) exploits, which are essential for fixing the vulnerability, testing patches, and avoiding regressions. Creating a PoC exploit is challenging because vulnerability reports are info…

This https://arxiv.org/abs/2505.07614 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
Recent advancements in machine learning have improved performance while also increasing computational demands. While federated and distributed setups address these issues, their structure is vulnerable to malicious influences. In this paper, we address a specific threat, Byzantine attacks, where compromised clients inject adversarial updates to derail global convergence. We combine the trust scores concept with trial function methodology to dynamically filter outliers. Our methods address the c…

Pattern-preserving optimal control problems with increasing time horizon
Matteo Della Rossa, Lorenzo Freddi
https://arxiv.org/abs/2506.09970 https://

Pattern-preserving optimal control problems with increasing time horizon
We establish a general framework that guarantees the preservation of optimal control patterns as the time horizon $[0,T]$ increases and becomes unbounded. A concept of pattern-preserving family of optimal control problems is introduced and the goal is achieved by analyzing the $Γ$-convergence of the corresponding variational formulations as $T\to\infty$. Special attention is given to scenarios involving state constraints. To illustrate the results, examples and applications are provided, with …

This https://arxiv.org/abs/2110.06506 has been replaced.
link: https://scholar.google.com/scholar?q=a

Network analysis using Forman curvature and Shapley values on hypergraphs
In recent years, network models have become more complex with the development of big data. Therefore, more advanced network analysis is required. In this paper, we introduce a new quantitative measure named combinatorial evaluation, which combines the discrete geometry concept of Forman Ricci curvature and the game theory concept of the Shapley value. We elucidated the characteristics of combinatorial evaluation by proving several properties of this indicator. Furthermore, we demonstrated the u…

Paraconsistent Relations as a Variant of Kleene Algebras
Juliana Cunha, Alexandre Madeira, Lu\'is S. Barbosa
https://arxiv.org/abs/2506.05840 https://

Paraconsistent Relations as a Variant of Kleene Algebras
Kleene algebras (KA) and Kleene algebras with tests (KAT) provide an algebraic framework to capture the behavior of conventional programming constructs. This paper explores a broader understanding of these structures, in order to enable the expression of programs and tests yielding vague or inconsistent outcomes. Within this context, we introduce the concept of a paraconsistent Kleene Algebra with tests (PKAT), capable of capturing vague and contradictory computations. Finally, to establish the…

Study of the Turbulent/Non-turbulent Interface of Zero-Pressure-Gradient Turbulent Boundary Layer Using the Uniform Momentum Zone Concept
Bihai Sun, Callum Atkinson, Julio Soria
https://arxiv.org/abs/2505.23589

Study of the Turbulent/Non-turbulent Interface of Zero-Pressure-Gradient Turbulent Boundary Layer Using the Uniform Momentum Zone Concept
This paper investigates the turbulent--non-turbulent interface (TNTI) in a zero-pressure-gradient turbulent boundary layer (ZPG-TBL) using a novel, threshold-free method based on the uniform momentum zone (UMZ) concept. Requiring only planar streamwise velocity data, the method is directly applicable to experimental PIV and ensures consistent TNTI detection across simulations and experiments. Its performance is demonstrated using DNS data at $Re_τ= 1,000 - 2,000$. The TNTI height scales with t…

Inverted Classroom in der Einf\"uhrungsveranstaltung Programmierung
Ulrich von Zadow, Natalie Kiesler
https://arxiv.org/abs/2506.10057 https://…

Inverted Classroom in der Einführungsveranstaltung Programmierung
Traditionally, the introductory programming course for computer science students at Nuremberg Tech had been implemented as a combination of lectures and exercise sessions. Due to high failure rates in the winter semester 2023/24, an experimental teaching concept based on the inverted classroom was implemented for one cohort in the winter semester 2024/25. Students had to prepare themselves through literature work and activating teaching and learning methods. The course was accompanied by a seri…

This https://arxiv.org/abs/2506.02475 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Comba: Improving Nonlinear RNNs with Closed-loop Control
Recent efficient sequence modeling methods such as Gated DeltaNet, TTT, and RWKV-7 have achieved performance improvements by supervising the recurrent memory management through Delta learning rule. Unlike previous state-space models (e.g., Mamba) and gated linear attentions (e.g., GLA), these models introduce interactions between the recurrent state and the key vector, resulting in a nonlinear recursive structure. In this paper, we first introduce the concept of Nonlinear RNNs with a comprehens…

Adaptive quantum dynamics with the time-dependent variational Monte Carlo method
Raffaele Salioni, Rocco Martinazzo, Davide Emilio Galli, Christian Apostoli
https://arxiv.org/abs/2506.08575

Adaptive quantum dynamics with the time-dependent variational Monte Carlo method
We introduce an extension of the time-dependent variational Monte Carlo (tVMC) method that adaptively controls the expressivity of the variational quantum state during the simulation. This adaptive tVMC approach addresses numerical instabilities that arise when the variational ansatz is overparameterized or contains redundant degrees of freedom. Building on the concept of the local-in-time error (LITE), a measure of the deviation between variational and exact evolution, we introduce a procedure…

This https://arxiv.org/abs/2505.11386 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory
This paper introduces MutualNeRF, a framework enhancing Neural Radiance Field (NeRF) performance under limited samples using Mutual Information Theory. While NeRF excels in 3D scene synthesis, challenges arise with limited data and existing methods that aim to introduce prior knowledge lack theoretical support in a unified framework. We introduce a simple but theoretically robust concept, Mutual Information, as a metric to uniformly measure the correlation between images, considering both macro…

This https://arxiv.org/abs/2306.07569 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Ontological Component-based Description of Robot Capabilities
A key aspect of a robot's knowledge base is self-awareness about what it is capable of doing. It allows to define which tasks it can be assigned to and which it cannot. We will refer to this knowledge as the Capability concept. As capabilities stems from the components the robot owns, they can be linked together. In this work, we hypothesize that this concept can be inferred from the components rather than merely linked to them. Therefore, we introduce an ontological means of inferring the agen…

This https://arxiv.org/abs/2304.14990 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Robust Stackelberg Equilibria
This paper provides a systematic study of the robust Stackelberg equilibrium (RSE), which naturally generalizes the widely adopted solution concept of the strong Stackelberg equilibrium (SSE). The RSE accounts for any possible up-to-$δ$ suboptimal follower responses in Stackelberg games and is adopted to improve the robustness of the leader's strategy. While a few variants of robust Stackelberg equilibrium have been considered in previous literature, the RSE solution concept we consider is imp…

The Path is the Goal: a Study on the Nature and Effects of Shortest-Path Stability Under Perturbation of Destination
Giuliano Cornacchia, Mirco Nanni
https://arxiv.org/abs/2506.09731

The Path is the Goal: a Study on the Nature and Effects of Shortest-Path Stability Under Perturbation of Destination
This work examines the phenomenon of path variability in urban navigation, where small changes in destination might lead to significantly different suggested routes. Starting from an observation of this variability over the city of Barcelona, we explore whether this is a localized or widespread occurrence and identify factors influencing path variability. We introduce the concept of "path stability", a measure of how robust a suggested route is to minor destination adjustments, define a detaile…

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
https://arxiv.org/abs/2506.06242

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
Recent advancements in multimodal large language models have driven breakthroughs in visual question answering. Yet, a critical gap persists, `conceptualization'-the ability to recognize and reason about the same concept despite variations in visual form, a basic ability of human reasoning. To address this challenge, we introduce the Visual Graph Arena (VGA), a dataset featuring six graph-based tasks designed to evaluate and improve AI systems' capacity for visual abstraction. VGA uses diverse …

Inline Quantum Measurements with SNSPDs Coupled to Photonic Bound States
Filippo Martinelli, Anton N. Vetlugin, Shuyu Dong, Darren M. Z. Koh, Mariia Sidorova, Christian Kurtsiefer, Cesare Soci
https://arxiv.org/abs/2506.07029

Inline Quantum Measurements with SNSPDs Coupled to Photonic Bound States
Superconducting nanowire single-photon detectors (SNSPDs) are enabling components of quantum photonic integrated circuits for their ease of fabrication and unsurpassed performance. While several approaches for SNSPDs integration are being pursued, scalability and interfacing with electrical readout circuits remain challenging. Here we introduce the concept of inline detection with SNSPDs, facilitating advanced quantum measurements within an ultra-compact device footprint. To establish this appr…

From NLVO to NAO: Reactive Robot Navigation using Velocity and Acceleration Obstacles
Asher Stern, Zvi Shiller
https://arxiv.org/abs/2506.06255 https://

From NLVO to NAO: Reactive Robot Navigation using Velocity and Acceleration Obstacles
This paper introduces a novel approach for robot navigation in challenging dynamic environments. The proposed method builds upon the concept of Velocity Obstacles (VO) that was later extended to Nonlinear Velocity Obstacles (NLVO) to account for obstacles moving along nonlinear trajectories. The NLVO is extended in this paper to Acceleration Obstacles (AO) and Nonlinear Acceleration Obstacles (NAO) that account for velocity and acceleration constraints. Multi-robot navigation is achieved by usi…

This https://arxiv.org/abs/2504.09030 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Authoritarian Recursions: How Fiction, History, and AI Reinforce Control in Education, Warfare, and Discourse
This article develops the concept of authoritarian recursion to theorize how artificial intelligence (AI) systems consolidate institutional control across education, military operations, and digital discourse. Rather than treating these domains in isolation, it identifies a shared recursive architecture in which algorithmic systems mediate judgment, obscure accountability, and reshape the conditions of moral and epistemic agency. Grounded in critical discourse analysis and sociotechnical ethi…