Tootfinder

Where Do We Look When We Teach? Analyzing Human Gaze Behavior Across Demonstration Devices in Robot Imitation Learning
Yutaro Ishida, Takamitsu Matsubara, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito
https://arxiv.org/abs/2506.05808

Where Do We Look When We Teach? Analyzing Human Gaze Behavior Across Demonstration Devices in Robot Imitation Learning
Imitation learning for acquiring generalizable policies often requires a large volume of demonstration data, making the process significantly costly. One promising strategy to address this challenge is to leverage the cognitive and decision-making skills of human demonstrators with strong generalization capability, particularly by extracting task-relevant cues from their gaze behavior. However, imitation learning typically involves humans collecting data using demonstration devices that emulate…

Modeling human reputation-seeking behavior in a spatio-temporally complex public good provision game
Edward Hughes, Tina O. Zhu, Martin J. Chadwick, Raphael Koster, Antonio Garc\'ia Casta\~neda, Charles Beattie, Thore Graepel, Matthew M. Botvinick, Joel Z. Leibo
https://arxiv.org/abs/2506.06032…

Modeling human reputation-seeking behavior in a spatio-temporally complex public good provision game
Multi-agent reinforcement learning algorithms are useful for simulating social behavior in settings that are too complex for other theoretical approaches like game theory. However, they have not yet been empirically supported by laboratory experiments with real human participants. In this work we demonstrate how multi-agent reinforcement learning can model group behavior in a spatially and temporally complex public good provision game called Clean Up. We show that human groups succeed in Clean …

@… has stopped adding OCSP URLs to newly issued certificates (since a few hours). Somewhat to my surprise, I haven't heard about any issues yet caused by this (I would've preferred if they had provided better opportunities for testing). But if you observe unexpected behavior with anything related to TLS certificates in the upcoming days, you may …

What is the purpose of news?
Air pollution kills 10 million people each year and causes untold additional illness and suffering.
It kills at least 100,000 people in the United States alone annually
— about five times the number of police-reported homicides.
But it rarely features in daily news stories.
Police and prosecutors ignore pollution, much of which is criminal,
and so do most journalists.
For example, federal prosecutors charged 23 people…

Media Panics About “Crime Waves” — But Downplays Crime Committed by Corporations
The news emphasizes low-level theft instead of corporate crime, pollution, and other predatory behavior.

GenIR: Generative Visual Feedback for Mental Image Retrieval
Diji Yang, Minghao Liu, Chung-Hsiang Lo, Yi Zhang, James Davis
https://arxiv.org/abs/2506.06220

GenIR: Generative Visual Feedback for Mental Image Retrieval
Vision-language models (VLMs) have shown strong performance on text-to-image retrieval benchmarks. However, bridging this success to real-world applications remains a challenge. In practice, human search behavior is rarely a one-shot action. Instead, it is often a multi-round process guided by clues in mind, that is, a mental image ranging from vague recollections to vivid mental representations of the target image. Motivated by this gap, we study the task of Mental Image Retrieval (MIR), which…

Asymptotic behavior of complete conformal metric near singular boundary
Weiming Shen, Yue Wang
https://arxiv.org/abs/2506.04591 https://

Asymptotic behavior of complete conformal metric near singular boundary
The boundary behavior of the singular Yamabe problem has been extensively studied near sufficiently smooth boundaries, while less is known about the asymptotic behavior of solutions near singular boundaries. In this paper, we study the asymptotic behaviors of solutions to the singular Yamabe problem with negative constant scalar curvature near singular boundaries and derive the optimal estimates for the background metric which is not necessarily conformally flat. In particular, we prove that th…

Attack Effect Model based Malicious Behavior Detection
Limin Wang, Lei Bu, Muzimiao Zhang, Shihong Cang, Kai Ye
https://arxiv.org/abs/2506.05001 https://…

Attack Effect Model based Malicious Behavior Detection
Traditional security detection methods face three key challenges: inadequate data collection that misses critical security events, resource-intensive monitoring systems, and poor detection algorithms with high false positive rates. We present FEAD (Focus-Enhanced Attack Detection), a framework that addresses these issues through three innovations: (1) an attack model-driven approach that extracts security-critical monitoring items from online attack reports for comprehensive coverage; (2) effic…

🙈 Adolescent capuchins kidnap the offspring of howler monkeys out of boredom
https://english.elpais.com/science-tech/2025-05-19/adolescent-capuchins-kidnap-the-offspring-of-howler-monkeys-out-of-boredom.html…

Adolescent capuchins kidnap the offspring of howler monkeys out of boredom
The behavior, which ends with the death of the young, was initiated by a young primate and imitated by others

@… thanks for testing! fair point about overscroll, I don’t think there is an `overscroll-behavior` value that makes sense for the component to add though — this seems more like an app-level option

This https://arxiv.org/abs/2309.15174 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

A stochastic explanation for observed local-to-global foraging states in Caenorhabditis elegans
Abrupt changes in behavior can often be associated with changes in underlying behavioral states. When placed off food, the foraging behavior of C. elegans can be described as a change between an initial local-search behavior characterized by a high rate of reorientations, followed by a global-search behavior characterized by sparse reorientations. This is commonly observed in individual worms, but when numerous worms are characterized, only about half appear to exhibit this behavior. We propose…

Students, THIS is how generative AI (ChatGPT et alia) "reads" papers and "understands" content. It's a bullshit machine, a gaslighting machine. It shows the linguistic behavior of a psychopath (is this what us humans average to, if one trains on all our "content" and online behavior?). Yikes.
https://amandaguinzburg.substack.com/p/diabolus-ex-machina

Hybrid scaling mechanism of critical behavior in the overlapping critical regions of classical and quantum Yang-Lee edge singularities
Yue-Mei Sun, Wen-Jing Yu, Xin-Yu Wang, Liang-Jun Zhai
https://arxiv.org/abs/2506.00919

Hybrid scaling mechanism of critical behavior in the overlapping critical regions of classical and quantum Yang-Lee edge singularities
Recently, the study of scaling behavior in Yang-Lee edge singularities (YLES) has attracted sustained attention. However, the scaling mechanism for the overlapping critical region between classical and quantum YLES remains unclear. In this work, we investigate this question, and a hybrid scaling mechanism is introduced to characterize the scaling behavior in the overlapping regions. The hybrid scaling mechanism asserts that in the overlapping region the scaling behavior can be described by the …

Now you can enjoy the delights of the undefined behavior sanitizer with Zephyr. https://github.com/zephyrproject-rtos/zephyr/commit/2d64237f44b07b96421afa9eb92c3db5cb02586d

cmake: Enable undefined behavior sanitizer on all targets · zephyrproject-rtos/zephyr@2d64237
GCC and Clang support the undefined behavior sanitizer in any configuration, the only restriction is that if you want to get nice messages printed, then you need the ubsan library routines which ar...

Fascism, the ideology we never wished existed, was made even worse by Hitler’s Nazism. If you support any of this hateful behavior, go fuck yourself.
#Nazism #Fascism #Hitler

Active inference as a unified model of collision avoidance behavior in human drivers
Julian F. Schumann, Johan Engstroem, Leif Johnson, Matthew O'Kelly, Joao Messias, Jens Kober, Arkady Zgonnikov
https://arxiv.org/abs/2506.02215

Active inference as a unified model of collision avoidance behavior in human drivers
Collision avoidance -- involving a rapid threat detection and quick execution of the appropriate evasive maneuver -- is a critical aspect of driving. However, existing models of human collision avoidance behavior are fragmented, focusing on specific scenarios or only describing certain aspects of the avoidance behavior, such as response times. This paper addresses these gaps by proposing a novel computational cognitive model of human collision avoidance behavior based on active inference. Activ…

User Altruism in Recommendation Systems
Ekaterina Fedorova, Madeline Kitch, Chara Podimata
https://arxiv.org/abs/2506.04525 https://a…

User Altruism in Recommendation Systems
Users of social media platforms based on recommendation systems (RecSys) (e.g. TikTok, X, YouTube) strategically interact with platform content to influence future recommendations. On some such platforms, users have been documented to form large-scale grassroots movements encouraging others to purposefully interact with algorithmically suppressed content in order to "boost" its recommendation; we term this behavior user altruism. To capture this behavior, we study a game between users and a Rec…

Correlation Functions and Chaotic Behavior of the SYK Chain Model in Pure States
Seyyed M. H. Halataei
https://arxiv.org/abs/2506.01100 https://

Correlation Functions and Chaotic Behavior of the SYK Chain Model in Pure States
Recent investigations of Rényi entanglement entropy in the SYK chain of Majorana fermions have indicated that the model exhibits slow thermalization when initialized in certain states. The extent to which the heavy modes -- believed to underlie this behavior -- affect other aspects of the model remains an open question. In this work, I study thermalization and scrambling of information in individual energy eigenstates of the SYK chain using exact diagonalization. I show that two-point correlat…

How to address questionable research practices, by considering why they come up?
Instead of thinking only of the bad ends of the scale (fraudulent behavior or incompetence) let's also consider the good ends. It can help us figure out what to do.
https://heidis…

In 2018, an #anonymous Trump administration official delivered a stark warning about the threat he said the president posed with his erratic behavior.
The author was later revealed to be #Miles #Taylor.
When Trump returned…

Miles Taylor fights Trump’s order targeting him, calling it ‘an attack on free speech’
In 2018, an anonymous Trump administration official delivered a stark warning about the threat he said the president posed with his erratic behavior. The author was later revealed to be Miles Taylor. When Trump returned to office, he claimed Taylor’s actions could be treasonous and ordered DHS and other agencies to launch an investigation. Taylor joined Amna Nawaz to discuss his legal response.

Exponential Time Differencing Runge-Kutta Discontinuous Galerkin (ETD-RKDG) Methods for Nonlinear Degenerate Parabolic Equations
Ziyao Xu, Yong-Tao Zhang
https://arxiv.org/abs/2506.04416

Exponential Time Differencing Runge-Kutta Discontinuous Galerkin (ETD-RKDG) Methods for Nonlinear Degenerate Parabolic Equations
In this paper, we study high-order exponential time differencing Runge-Kutta (ETD-RK) discontinuous Galerkin (DG) methods for nonlinear degenerate parabolic equations. This class of equations exhibits hyperbolic behavior in degenerate regions and parabolic behavior in non-degenerate regions, resulting in sharp wave fronts in the solution profiles and a parabolic-type time-step restriction, $τ\sim O(h^2)$, for explicit time integration. To address these challenges and solve such equations in co…

This https://arxiv.org/abs/2502.18744 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
Recent efforts in LLM alignment have focused on constructing large-scale preference datasets via human or Artificial Intelligence (AI) annotators. However, such approaches rely on instance-wise supervision, incurring substantial annotation cost and limited interpretability. In this paper, we propose ZEBRA - a model behavior-wise zero-annotation framework that constructs preference data by leveraging model behavior knowledge derived from benchmark performances. ZEBRA binarizes response pairs by …

The Curse of Dimensionality: De-identification Challenges in the Sharing of Highly Dimensional Datasets
https://fpf.org/blog/the-curse-of-dimensionality-de-identification-challenges-in-the-sharing-of-highl…

Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
Ayesha Afzal, Georg Hager, Gerhard Wellen
https://arxiv.org/abs/2506.02792

Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
We propose a novel, lightweight, and physically inspired approach to modeling the dynamics of parallel distributed-memory programs. Inspired by the Kuramoto model, we represent MPI processes as coupled oscillators with topology-aware interactions, custom coupling potentials, and stochastic noise. The resulting system of nonlinear ordinary differential equations opens a path to modeling key performance phenomena of parallel programs, including synchronization, delay propagation and decay, bottle…

freshmen: Zeggelink's freshmen (1999)
Snapshots of friendships among freshmen majoring in Sociology at the University of Groningen, collected five times over the 1998-1999 year. The direction of an edge indicates that student i is friends with student j, and the edge weight gives their friendship level from 1 (best friend) to 5 (troubled relation). Metadata include gender, age, program type, and smoking behavior.
This network has 34 nodes and 1156 edges.
Tags: Social, O…

Making Firefox/Mozilla dependent on money from Google was a gigantic misstep. It should never have happened.
Firefox has become an alibi for Google against claims of monopolistic behavior. It is a repeat of how Bill Gates saved Apple except that Firefox seems to be on permanently boxed in by Google.
#Firefox

Germany's data protection commission fines Vodafone a record €45M due to data privacy violations linked to malicious behavior by third-party sales agents (Karin Matussek/Bloomberg)
https://www.bloomberg.com/news/articles/20

And by “prevent crime,” what they mean is AI will be able to automatically yell at homeless people to move along! Innovation!
https://mastodon.social/@eff/114626708912715793

Observability of modified threshold behavior near unitarity
Michael D. Higgins, J. Golak, R. Skibinski, K. Topolnicki, H. Witala, H. Kamada, Chris H. Greene
https://arxiv.org/abs/2505.24569

Observability of modified threshold behavior near unitarity
A number of recent references have pointed out that an N-particle system having short-range interactions at S-wave and/or P-wave unitarity can exhibit modified threshold behavior for various reactive processes. But the question of how close to unitarity one must get in order to observe such modifications has not been addressed. The present study quantities this question by treating cases involving 3- or 4-neutrons, at the physical value of the neutron-neutron singlet scattering length a and at …

High-pressure Induced Phase Transition and Laser Characterization Response of MAPbBr$_3$ Thin Films
Xin Tang, Ruilin Li, Shuaiqi Li, Dingke Zhang
https://arxiv.org/abs/2506.03499 …

High-pressure Induced Phase Transition and Laser Characterization Response of MAPbBr3 Thin Films
The high-pressure behavior of 3D metal halide chalcogenides (MHPs) has been widely studied. In the field of high-pressure technology, the studies on 3D MHPs have focused on the structural and optical properties, where the optical properties are mainly investigated on the photoluminescence behavior, while the laser properties of the materials have not been studied yet. In this paper, MAPbBr3-MAAc films with ionic liquid methylammonium acetate (MAAc) as solvent and conventional MAPbBr3-DMF:DMSO f…

[2025-05-09 Fri (UTC), no new articles found for q-bio.CB Cell Behavior]
#toXiv_bot_toot

Orbital Stability of Plane Waves in the Klein-Gordon Equation against Localized Perturbations
Emile Bukieda, Louis Gar\'enaux, Bj\"orn de Rijk
https://arxiv.org/abs/2506.06029

Orbital Stability of Plane Waves in the Klein-Gordon Equation against Localized Perturbations
We investigate the stability and long-term behavior of spatially periodic plane waves in the complex Klein-Gordon equation under localized perturbations. Such perturbations render the wave neither localized nor periodic, placing its stability analysis outside the scope of the classical orbital stability theory for Hamiltonian systems developed by Grillakis, Shatah, and Strauss. Inspired by Zhidkov's work on the stability of time-periodic, spatially homogeneous states in the nonlinear Schröding…

A Tool for Generating Exceptional Behavior Tests With Large Language Models
Linghan Zhong, Samuel Yuan, Jiyang Zhang, Yu Liu, Pengyu Nie, Junyi Jessy Li, Milos Gligoric
https://arxiv.org/abs/2505.22818

A Tool for Generating Exceptional Behavior Tests With Large Language Models
Exceptional behavior tests (EBTs) are crucial in software development for verifying that code correctly handles unwanted events and throws appropriate exceptions. However, prior research has shown that developers often prioritize testing "happy paths", e.g., paths without unwanted events over exceptional scenarios. We present exLong, a framework that automatically generates EBTs to address this gap. exLong leverages a large language model (LLM) fine-tuned from CodeLlama and incorporates reasoni…

"An ounce of behavior is worth a pound of words."
-Sanford Meisner
#acting #coaching #inspiration

This https://arxiv.org/abs/2504.02234 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

LLM Social Simulations Are a Promising Research Method
Accurate and verifiable large language model (LLM) simulations of human research subjects promise an accessible data source for understanding human behavior and training new AI systems. However, results to date have been limited, and few social scientists have adopted this method. In this position paper, we argue that the promise of LLM social simulations can be achieved by addressing five tractable challenges. We ground our argument in a review of empirical comparisons between LLMs and human r…

Newtonian-like behavior of starting vortex flow in superfluid helium at high Reynolds numbers
J. Blaha, L. Xu, M. La Mantia
https://arxiv.org/abs/2505.24374

Newtonian-like behavior of starting vortex flow in superfluid helium at high Reynolds numbers
We study experimentally the starting vortices shed by airfoils accelerating uniformly from rest in superfluid helium-4 (He II). The vortices behave apparently as if they were moving in a classical Newtonian fluid, such as air or water. Specifically, the starting vortex positions obtained from the experimental data are found to be very close to those computed numerically in a Newtonian fluid, at sufficiently small times, when self-similar behavior is expected to occur, and for Reynolds numbers r…

This https://arxiv.org/abs/2503.09969 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
Artificial Intelligence (AI) is now firmly at the center of evidence-based medicine. Despite many success stories that edge the path of AI's rise in healthcare, there are comparably many reports of significant shortcomings and unexpected behavior of AI in deployment. A major reason for these limitations is AI's reliance on association-based learning, where non-representative machine learning datasets can amplify latent bias during training and/or hide it during testing. To unlock new tools capa…

Evaluating Prompt-Driven Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards
Geng Liu, Li Feng, Carlo Alberto Bono, Songbo Yang, Mengxiao Zhu, Francesco Pierri
https://arxiv.org/abs/2506.04975

Evaluating Prompt-Driven Chinese Large Language Models: The Influence of Persona Assignment on Stereotypes and Safeguards
Recent research has highlighted that assigning specific personas to large language models (LLMs) can significantly increase harmful content generation. Yet, limited attention has been given to persona-driven toxicity in non-Western contexts, particularly in Chinese-based LLMs. In this paper, we perform a large-scale, systematic analysis of how persona assignment influences refusal behavior and response toxicity in Qwen, a widely-used Chinese language model. Utilizing fine-tuned BERT classifiers…

Optimization for Semantic-Aware Resource Allocation under CPT-based Utilities
Symeon Vaidanis, Photios A. Stavrou, Marios Kountouris
https://arxiv.org/abs/2506.04952

Optimization for Semantic-Aware Resource Allocation under CPT-based Utilities
The problem of resource allocation in goal-oriented semantic communication with semantic-aware utilities and subjective risk perception is studied here. By linking information importance to risk aversion, we model agent behavior using Cumulative Prospect Theory (CPT), which incorporates risk-sensitive utility functions and nonlinear transformations of distributions, reflecting subjective perceptions of gains and losses. The objective is to maximize the aggregate utility across multiple CPT-mode…

This https://arxiv.org/abs/2502.08852 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Controlling discrete semilinear wave equations toward flocks
In this work, we initiate the research on controlling nonlinear waves propagating on lattices from a completely new perspective. We consider nonlinear waves on a lattice as a system of interacting particles and study their collective flocking behavior. By designing suitable feedback controls, we show that any admissible flock can be reached within a finite amount of time. Finally, we highlight the connection between our flocking problem and a minimal-time problem in the framework of nonlinear H…

Topology induced modifications in the critical behavior of the Yaldram Khan catalytic reaction model
Paulo F. Gomes, Henrique A. Fernandes, Roberto da Silva
https://arxiv.org/abs/2506.04485

Topology induced modifications in the critical behavior of the Yaldram Khan catalytic reaction model
In this work, we investigated how the use of complex networks as catalytic surfaces can affect the phase diagram of the Yaldram-Khan model, as well as how the order of the phase transitions present in the seminal work behaves when the randomness is added to the model. The study was conducted by taking into consideration two well-known random networks, the Erdos-Renyi network (ERN), with its long-range randomness, and the random geometric graph (RGG), with its spatially constrained randomness. W…

Periodic Orbits and Gravitational Wave Radiation of Black Holes in 4D-EGB gravity
Liping Meng, Zhaoyi Xu, Meirong Tang
https://arxiv.org/abs/2506.05015 htt…

Periodic Orbits and Gravitational Wave Radiation of Black Holes in 4D-EGB gravity
In the paper, we study the dynamical behavior of a particle around a charged black hole within the framework of 4D-EGB gravity theory. Based on the spacetime metric of the black hole, we rigorously derived the effective potential of the particle and analyzed the particle's MBO and ISCO. The results show that the key physical quantities of MBO and ISCO-including orbital radius, angular momentum, and energy-all exhibit significant dependence on parameter $α$ and charge $Q$. As these two paramete…

Warum ich bei der Klimakrise keine Hoffnung mehr habe? Weil das Wort Kapitalismus nicht mal mehr erwähnt wird.
Was soll das?
https://www.instagram.com/p/DKR8nWlRtZi/

Quarks on Instagram: "🌍🌱 Warum tun wir uns gerade mit dem Klimaschutz so schwer? Wird Klimaschutz immer mehr zum Luxus? . 2️⃣0️⃣1️⃣9️⃣ Erinnert ihr euch noch an 2019? Das Jahr war ein Wendepunkt der globalen Klimabewegung. Millionen Menschen gingen weltweit auf die Straße. Schüler:innen, Studierende, aber auch Wissenschaftler:innen (“Scientists for Future”) demonstrierten dabei für Klimaschutz, die Einhaltung des 1,5-Grad-Ziels des Pariser Abkommens und ein schnelles Ende der Nutzung fossiler Energien. Die Proteste rückten das Klimathema ins Zentrum der weltweiten Aufmerksamkeit. Doch das ist sechs Jahre her. . 🇩🇪🌱 Aktuell scheint den Menschen (in Deutschland) Klimaschutz und Nachhaltigkeit nicht mehr so wichtig, Konsument:innen haben immer seltener Schuldgefühle, wenn sie sich nicht umweltfreundlich verhalten. 2019 gaben das in einer Umfrage eines Marktforschungsunternehmens (NIQ) 30 Prozent an. Im Jahr 2024 waren es nur noch 22 Prozent. 2️⃣0️⃣2️⃣5️⃣ Immerhin: Der Nachhaltigkeitsindex zeigt seit April 2025 wieder einen leichten Aufwärtstrend, liegt aber weit unter den Werten von 2019. Die Menschen seien pragmatischer geworden, so die Umfrage: Klimaschutz dürfe nicht zu viel kosten und dürfe nicht allzu unbequem sein, finden die Konsument:innen. . Unsere Quellen, u.a.: NielsenIQ: „NIQ Consumer Life“-Langzeitstudie: So shoppen (und leben) wir anders als 2019 Osberghaus et al. (2025): The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data Ajzen I. (1985) From Intentions to Actions: A Theory of Planned Behavior"
2,385 likes, 168 comments - quarks.de on May 30, 2025: "🌍🌱 Warum tun wir uns gerade mit dem Klimaschutz so schwer? Wird Klimaschutz immer mehr zum Luxus? . 2️⃣0️⃣1️⃣9️⃣ Erinnert ihr euch noch an 2019? Das Jahr war ein Wendepunkt der globalen Klimabewegung. Millionen Menschen gingen weltweit auf die Straße. Schüler:innen, Studierende, aber auch Wissenschaftler:innen (“Scientists for Future”) demonstrierten dabei für Klimaschutz, die Einhaltung des 1,5-Grad-Ziels des …

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
Alexandros Efstratiou
https://arxiv.org/abs/2506.04422 ht…

I'm Sorry Dave, I'm Afraid I Can't Return That: On YouTube Search API Use in Research
YouTube is among the most widely-used platforms worldwide, and has seen a lot of recent academic attention. Despite its popularity and the number of studies conducted on it, much less is understood about the way in which YouTube's Data API, and especially the Search endpoint, operates. In this paper, we analyze the API's behavior by running identical queries across a period of 12 weeks. Our findings suggest that the search endpoint returns highly inconsistent results between queries in ways tha…

Continued Photometric Monitoring Supports Long-Term Dynamical Evolution in the Young Binary Star-Disk System KH 15D
Luke Lamitina (California Institute of Technology), Lynne Hillenbrand (California Institute of Technology), Michael Poon (University of Toronto)
https://arxiv.org/abs/2506.04914

Continued Photometric Monitoring Supports Long-Term Dynamical Evolution in the Young Binary Star-Disk System KH 15D
We present photometric time series data spanning 2018-2024 that show the effects of temporal dynamics in the binary system KH 15D, a member of the NGC 2264 star forming region. This source exhibits complex eclipsing behavior due to a precessing circumbinary disk or ring that is slightly inclined relative to the orbital plane of the binary. Using g-band and r-band observations from the Zwicky Transient Facility (ZTF) over seven observing seasons, we follow the evolution of the KH 15D lightcurve …

Classification of the real Painlev\'{e} I transcendents by zeros and connection problem: an asymptotic study
Yan Huang, Yu-Tian Li, Wen-Gao Long
https://arxiv.org/abs/2506.03648

Classification of the real Painlevé I transcendents by zeros and connection problem: an asymptotic study
In this paper, we study the asymptotic behavior and connection problem of Painlevé I (PI) equation through a detailed analysis of the Stokes multipliers associated with its solutions. Focusing on the regime where the derivative at the real zeros of the solution becomes large, we apply the complex WKB method to derive full asymptotic expansions of the Stokes multipliers. These expansions allow us to classify real solutions of PI according to their behavior at the zeros, distinguishing between o…

A Comprehensive Survey on Bio-Inspired Algorithms: Taxonomy, Applications, and Future Directions
Shriyank Somvanshi, Md Monzurul Islam, Syed Aaqib Javed, Gaurab Chhetri, Kazi Sifatul Islam, Tausif Islam Chowdhury, Sazzad Bin Bashar Polock, Anandi Dutta, Subasish Das
https://arxiv.org/abs/2506.04238…

A Comprehensive Survey on Bio-Inspired Algorithms: Taxonomy, Applications, and Future Directions
Bio-inspired algorithms (BIAs) utilize natural processes such as evolution, swarm behavior, foraging, and plant growth to solve complex, nonlinear, high-dimensional optimization problems. This survey categorizes BIAs into eight groups: evolutionary, swarm intelligence, physics-inspired, ecosystem and plant-based, predator-prey, neural-inspired, human-inspired, and hybrid approaches, and reviews their core principles, strengths, and limitations. We illustrate the usage of these algorithms in mac…

Minimizing the Gauss map area of surfaces in $\mathbb{S}^3$
Gerard Orriols, Tristan Rivi\`ere
https://arxiv.org/abs/2506.05141 https://

Minimizing the Gauss map area of surfaces in $\mathbb{S}^3$
We establish the lower bound of $4π(1+g)$ for the area of the Gauss map of any immersion of a closed oriented surface of genus $g$ into $\mathbb{S}^3$, taking values in the Grassmannian of $2$-planes in $\mathbb{R}^4$. This lower bound is proved to be optimal for any genus $g \in \mathbb{N}$ but attained only when $g = 0$. For $g \neq 0$ we describe the behavior of any minimizing sequence of embeddings: we prove that, modulo extraction of a subsequence, the surfaces converge in the Hausdorff d…

Homological invariant properties under cleft extensions
Li Liang, Yajun Ma, Gang Yang
https://arxiv.org/abs/2506.02691 https://arxiv.…

Homological invariant properties under cleft extensions
We study the behavior of the Gorenstein weak global dimension and Gorenstein flat-cotorsion global dimension under a cleft extension of rings; we prove that under some mild conditons the finiteness of the Gorenstein weak global dimension and that of the Gorenstein flat-cotorsion global dimension are both invariant. Moreover, we compare the relative singularity categories with respect to flat-cotorsion modules under a cleft extension of rings. Some applications to θ-extensions and Morita contex…

This https://arxiv.org/abs/2501.07327 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Community Aware Temporal Network Generation
The advantages of temporal networks in capturing complex dynamics, such as diffusion and contagion, has led to breakthroughs in real world systems across numerous fields. In the case of human behavior, face-to-face interaction networks enable us to understand the dynamics of how communities emerge and evolve in time through the interactions, which is crucial in fields like epidemics, sociological studies and urban science. However, state-of-the-art datasets suffer from a number of drawbacks, su…

Estimation of Treatment Effects Under Nonstationarity via Truncated Difference-in-Q's
Ramesh Johari, Tianyi Peng, Wenqian Xing
https://arxiv.org/abs/2506.05308

Estimation of Treatment Effects Under Nonstationarity via Truncated Difference-in-Q's
Randomized controlled experiments (''A/B testing'') are fundamental for assessing interventions in dynamic technology-driven environments, such as recommendation systems, online marketplaces, and digital health interventions. In these systems, interventions typically impact not only the current state of the system, but also future states; therefore, accurate estimation of the global average treatment effect (or GATE) from experiments requires accounting for the dynamic temporal behavior of the …

Finance as Extended Biology: Reciprocity as the Cognitive Substrate of Financial Behavior
Egil Diau
https://arxiv.org/abs/2506.00099 https://

Finance as Extended Biology: Reciprocity as the Cognitive Substrate of Financial Behavior
A central challenge in economics and artificial intelligence is explaining how financial behaviors-such as credit, insurance, and trade-emerge from decentralized social interaction. We argue that these functions are not institutionally engineered, but arise from a single behavioral substrate: reciprocity. Observed across primates and foundational to early human societies, reciprocity governed the exchange of goods, regulation of obligation, and maintenance of cooperation-without formal rules. T…

Temporal passing network in basketball: the effect of time pressure on the dynamics of team organization at micro and meso levels
Quentin Bourgeais (CETAPS, LITIS), Rodolphe Charrier (LITIS), Eric Sanlaville (LITIS), Ludovic Seifert (CETAPS, IUF)
https://arxiv.org/abs/2506.04808

Temporal passing network in basketball: the effect of time pressure on the dynamics of team organization at micro and meso levels
In this study, basketball teams are conceptualized as complex adaptive systems to examine their (re)organizational processes in response the time remaining to shoot. Using temporal passing networks to model team behavior, the focus is on the dynamics of the temporal patterns of interaction between players. Several metrics grounded in social network analysis are calculated at different level to assess the dynamics of the patterns used by teams and of the individual roles within those patterns. T…

This https://arxiv.org/abs/2411.06177 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The number of trees in distance-hereditary graphs and their friends
Counting the number of spanning trees in specific classes of graphs has attracted increasing attention in recent years. In this note, we present unified proofs and generalizations of several results obtained in the 2020s. The main method is to study the behavior of the vertex (degree) enumerator of a distance-hereditary graph under the operations of copying vertices. Ehrenborg conjecture says that a Ferrer--Young graph maximizes the number of spanning trees among bipartite graphs with the sam…

Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
Sibsankar Singha, Marie Kratz, Sreekar Vadlamani
https://arxiv.org/abs/2506.01126

Discriminating Tail Behavior Using Halfspace Depths: Population and Empirical Perspectives
We study the empirical version of halfspace depths with the objective of establishing a connection between the rates of convergence and the tail behaviour of the corresponding underlying distributions. The intricate interplay between the sample size and the parameter driving the tail behaviour forms one of the main results of this analysis. The chosen approach is mainly based on weighted empirical processes indexed by sets by Alexander (1987), which leads to relatively direct and elegant proofs…

Ok, more C fun today. I'm getting -fsanitize=undefined working and am hitting the wall when trying to get the language to support arithmetic right shift operations. There doesn't appear to be a simple way to get the compiler to emit this instruction except by exercising implementation-defined behavior of the right-shift operator on signed integer types.
I ask again what kind of systems language is C supposed to be if it can't express a universal operation of this nature?…

This https://arxiv.org/abs/2506.01306 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Asymptotic of Coulomb gas integral, Temperley-Lieb type algebras and pure partition functions
In this supplementary note, we study the asymptotic behavior of several types of Coulomb gas integrals and construct the pure partition functions for multiple radial $\mathrm{SLE}(κ)$ and general multiple chordal $\mathrm{SLE}(κ)$ systems. For both radial and chordal cases, we prove the linear independence of the ground state solutions $J_α^{(m,n)}(\boldsymbol{x})$ to the null vector equations for irrational values of $κ\in (0,8)$. In particular, we show that the ground state solutions …

This https://arxiv.org/abs/2506.03157 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
Molecular Dynamics (MD) simulations are essential for understanding the atomic-level behavior of molecular systems, giving insights into their transitions and interactions. However, classical MD techniques are limited by the trade-off between accuracy and efficiency, while recent deep learning-based improvements have mostly focused on single-domain molecules, lacking transferability to unfamiliar molecular systems. Therefore, we propose \textbf{Uni}fied \textbf{Sim}ulator (UniSim), which levera…

Generalized Hardy's identity for the astroid-type p-circle lattice point problem
Masaya Kitajima
https://arxiv.org/abs/2506.03331 https://

Generalized Hardy's identity for the astroid-type p-circle lattice point problem
Let $r$ be a positive real number and $p$ satisfy $(2/p)\in\mathbb{N}$. Then, we consider the lattice point problem of the closed curves astroid-type $p$-circle $\{x\in\mathbb{R}^{2}|\ |x_{1}|^{p}+|x_{2}|^{p}=r^{p}\}$ which generalize the circle. In investigating the asymptotic behavior of the error term in the area approximation of the circle, G.H. Hardy conjectured an infimum for the evaluation in 1917. One of the grounds for this conjecture is the Hardy's identity, w…

This https://arxiv.org/abs/2405.05334 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Multiplicative Dynamic Mode Decomposition
Koopman operators are infinite-dimensional operators that linearize nonlinear dynamical systems, facilitating the study of their spectral properties and enabling the prediction of the time evolution of observable quantities. Recent methods have aimed to approximate Koopman operators while preserving key structures. However, approximating Koopman operators typically requires a dictionary of observables to capture the system's behavior in a finite-dimensional subspace. The selection of these func…

Spending Behavior and Economic Impacts of Urban Digital Consumption Vouchers
Ming-Huan Liou, Shou-Yung Yin, Hsiang-Wen Mao
https://arxiv.org/abs/2506.01385

Spending Behavior and Economic Impacts of Urban Digital Consumption Vouchers
This paper evaluates the Taipei Bear Vouchers 2.0 program using verified user-level survey data and a regional input-output model to assess the effectiveness of consumption vouchers as a fiscal stimulus tool. We focus on three key behavioral mechanisms: expenditure substitution, induced consumption, and the intensity of treatment through varying voucher face values. Our findings show that voucher effectiveness differs by type. Accommodation vouchers stimulate the most additional spending due to…

Tarallo: Evading Behavioral Malware Detectors in the Problem Space
Gabriele Digregorio, Salvatore Maccarrone, Mario D'Onghia, Luigi Gallo, Michele Carminati, Mario Polino, Stefano Zanero
https://arxiv.org/abs/2506.02660

Tarallo: Evading Behavioral Malware Detectors in the Problem Space
Machine learning algorithms can effectively classify malware through dynamic behavior but are susceptible to adversarial attacks. Existing attacks, however, often fail to find an effective solution in both the feature and problem spaces. This issue arises from not addressing the intrinsic nondeterministic nature of malware, namely executing the same sample multiple times may yield significantly different behaviors. Hence, the perturbations computed for a specific behavior may be ineffective for…

MAEBE: Multi-Agent Emergent Behavior Framework
Sinem Erisken (Independent Researcher), Timothy Gothard (Independent Researcher), Martin Leitgab (Independent Researcher), Ram Potham (Independent Researcher)
https://arxiv.org/abs/2506.03053

MAEBE: Multi-Agent Emergent Behavior Framework
Traditional AI safety evaluations on isolated LLMs are insufficient as multi-agent AI ensembles become prevalent, introducing novel emergent risks. This paper introduces the Multi-Agent Emergent Behavior Evaluation (MAEBE) framework to systematically assess such risks. Using MAEBE with the Greatest Good Benchmark (and a novel double-inversion question technique), we demonstrate that: (1) LLM moral preferences, particularly for Instrumental Harm, are surprisingly brittle and shift significantly …

Released 0.19.2 of ha-mqtt-discoverable.
This is a pure-python library for creating #MQTT entities that will be automatically detected by #HomeAssistant
https://github.com/unixorn/ha-mqtt-discoverable/releases
Fixes Select behavior (Thanks mhentschke!)
@…

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation
Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
https://arxiv.org/abs/2506.00138

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation
Autonomy is a hallmark of animal intelligence, enabling adaptive and intelligent behavior in complex environments without relying on external reward or task structure. Existing reinforcement learning approaches to exploration in sparse reward and reward-free environments, including class of methods known as intrinsic motivation, exhibit inconsistent exploration patterns and thus fail to produce robust autonomous behaviors observed in animals. Moreover, systems neuroscience has largely overlooke…

RAG has revolutionised AI by merging search and generation. Agentic behaviour takes this search to the next level by enabling LLMs to make decisions and call tools. At this year's Berlin Buzzwords, Bilge Yücel will discuss how agentic behaviour enhances pipelines, what it means for a system to act as an 'agent', and core concepts such as routing, tool calling and reasoning, along with a live demo.
Learn more:

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
Xiao Yu, Baolin Peng, Ruize Xu, Michel Galley, Hao Cheng, Suman Nath, Jianfeng Gao, Zhou Yu
https://arxiv.org/abs/2506.00320

Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents
Recent progress in reasoning with large language models (LLMs), such as DeepSeek-R1, demonstrates impressive capabilities in domains like mathematics and coding, by exhibiting complex cognitive behaviors such as verification, goal decomposition, and self-reflection. However, it is unclear what behavior is effective and what behavior is missing for long-horizon AI agents tasks. In this work, we propose Dyna-Think, a thinking framework that integrates planning with an internal world model with re…

[2025-05-08 Thu (UTC), no new articles found for q-bio.CB Cell Behavior]
#toXiv_bot_toot

This https://arxiv.org/abs/2201.03074 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Survey of Passive Sensing for Workplace Wellbeing and Productivity
The modern workplace is undergoing a radical transformation, driven by technological advances that blur the boundaries between human capability and digital augmentation. At the forefront of this evolution is passive sensing technology - a suite of tools that quietly monitor and interpret human behavior without active user engagement. This paper examines how these technologies are reshaping our understanding of workplace dynamics, with a particular focus on employee wellbeing and productivity. T…

Warum ich bei der Klimakrise keine Hoffnung mehr habe? Weil das Wort Kapitalismus nicht mal mehr erwähnt wird.
Was soll das?
https://www.instagram.com/p/DKR8nWlRtZi/

Quarks on Instagram: "🌍🌱 Warum tun wir uns gerade mit dem Klimaschutz so schwer? Wird Klimaschutz immer mehr zum Luxus? . 2️⃣0️⃣1️⃣9️⃣ Erinnert ihr euch noch an 2019? Das Jahr war ein Wendepunkt der globalen Klimabewegung. Millionen Menschen gingen weltweit auf die Straße. Schüler:innen, Studierende, aber auch Wissenschaftler:innen (“Scientists for Future”) demonstrierten dabei für Klimaschutz, die Einhaltung des 1,5-Grad-Ziels des Pariser Abkommens und ein schnelles Ende der Nutzung fossiler Energien. Die Proteste rückten das Klimathema ins Zentrum der weltweiten Aufmerksamkeit. Doch das ist sechs Jahre her. . 🇩🇪🌱 Aktuell scheint den Menschen (in Deutschland) Klimaschutz und Nachhaltigkeit nicht mehr so wichtig, Konsument:innen haben immer seltener Schuldgefühle, wenn sie sich nicht umweltfreundlich verhalten. 2019 gaben das in einer Umfrage eines Marktforschungsunternehmens (NIQ) 30 Prozent an. Im Jahr 2024 waren es nur noch 22 Prozent. 2️⃣0️⃣2️⃣5️⃣ Immerhin: Der Nachhaltigkeitsindex zeigt seit April 2025 wieder einen leichten Aufwärtstrend, liegt aber weit unter den Werten von 2019. Die Menschen seien pragmatischer geworden, so die Umfrage: Klimaschutz dürfe nicht zu viel kosten und dürfe nicht allzu unbequem sein, finden die Konsument:innen. . Unsere Quellen, u.a.: NielsenIQ: „NIQ Consumer Life“-Langzeitstudie: So shoppen (und leben) wir anders als 2019 Osberghaus et al. (2025): The intention-behavior gap in climate change adaptation: Evidence from longitudinal survey data Ajzen I. (1985) From Intentions to Actions: A Theory of Planned Behavior"
2,385 likes, 168 comments - quarks.de on May 30, 2025: "🌍🌱 Warum tun wir uns gerade mit dem Klimaschutz so schwer? Wird Klimaschutz immer mehr zum Luxus? . 2️⃣0️⃣1️⃣9️⃣ Erinnert ihr euch noch an 2019? Das Jahr war ein Wendepunkt der globalen Klimabewegung. Millionen Menschen gingen weltweit auf die Straße. Schüler:innen, Studierende, aber auch Wissenschaftler:innen (“Scientists for Future”) demonstrierten dabei für Klimaschutz, die Einhaltung des 1,5-Grad-Ziels des …

This https://arxiv.org/abs/2504.18019 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

A search for $B_{s0}^{*}$ and $B^{*}_{s1}$ through the $K^{-}p$ interaction
The formation and properties of hadrons, particularly those involving heavy quarks, remain a central topic in particle physics due to the nonperturbative nature of Quantum Chromodynamics (QCD) at low energies. Heavy-quark symmetry (HQS) provides a valuable framework for understanding the behavior of heavy quarks in hadronic systems, offering insights into spin and flavor symmetries. However, discrepancies between HQS predictions and experimental observations -- particularly the absence of predi…

This https://arxiv.org/abs/2503.02407 has been replaced.
initial toot: https://mastoxiv.page/@a…

Wyckoff Transformer: Generation of Symmetric Crystals
Crystal symmetry plays a fundamental role in determining its physical, chemical, and electronic properties such as electrical and thermal conductivity, optical and polarization behavior, and mechanical strength. Almost all known crystalline materials have internal symmetry. However, this is often inadequately addressed by existing generative models, making the consistent generation of stable and symmetrically valid crystal structures a significant challenge. We introduce WyFormer, a generative …

This https://arxiv.org/abs/2505.11197 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge
Modeling the dynamics from sparsely time-resolved snapshot data is crucial for understanding complex cellular processes and behavior. Existing methods leverage optimal transport, Schrödinger bridge theory, or their variants to simultaneously infer stochastic, unbalanced dynamics from snapshot data. However, these approaches remain limited in their ability to account for cell-cell interactions. This integration is essential in real-world scenarios since intercellular communications are fundamen…

This https://arxiv.org/abs/2506.01991 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Investigating Timing-Based Information Leakage in Data Flow-Driven Real-Time Systems
Leaking information about the execution behavior of critical real-time tasks may lead to serious consequences, including violations of temporal constraints and even severe failures. We study information leakage for a special class of real-time tasks that have two execution modes, namely, typical execution (which invokes the majority of times) and critical execution (to tackle exceptional conditions). The data flow-driven applications inherit such a multimode execution model. In this paper, we i…

This https://arxiv.org/abs/2401.03276 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Robust Binary and Multinomial Logit Models for Classification with Data Uncertainties
Binary logit (BNL) and multinomial logit (MNL) models are the two most widely used discrete choice models for travel behavior modeling and prediction. However, in many scenarios, the collected data for those models are subject to measurement errors. Previous studies on measurement errors mostly focus on "better estimating model parameters" with training data. In this study, we focus on using BNL and MNL for classification problems, that is, to ``better predict the behavior of new samples'' when…

This https://arxiv.org/abs/2503.09920 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Black-bounce solutions in a k-essence theory under the effects of bumblebee gravity
In the present study, we analyze the effects of violation of Lorentz symmetry for black-bounce solutions in a $k$-essence theory that has the form of a power law for the configuration $n=1/3$. We perform such analysis for a known model explored in previous work $Σ^2=x^2+a^2$ and complement the proposal with a new black-bounce model for the area functions $Σ^2_1=\sqrt{x^4+d^4}$. This model has the Schwarzschild-de Sitter asymptomatic behavior for $x\to{-\infty}$, and we investigate the scalar …

This https://arxiv.org/abs/2506.02943 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

A Multi-agent LLM-based JUit Test Generation with Strong Oracles
Unit testing plays a critical role in ensuring software correctness. However, writing unit tests manually is laborious, especially for strong typed languages like Java, motivating the need for automated approaches. Traditional methods primarily rely on search-based or randomized algorithms to generate tests that achieve high code coverage and produce regression oracles, which are derived from the program's current behavior rather than its intended functionality. Recent advances in large languag…

This https://arxiv.org/abs/2505.16865 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

LARES: Latent Reasoning for Sequential Recommendation
Sequential recommender systems have become increasingly important in real-world applications that model user behavior sequences to predict their preferences. However, existing sequential recommendation methods predominantly rely on non-reasoning paradigms, which may limit the model's computational capacity and result in suboptimal recommendation performance. To address these limitations, we present LARES, a novel and scalable LAtent REasoning framework for Sequential recommendation that enhance…

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…

This https://arxiv.org/abs/2502.07975 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Sink equilibria and the attractors of learning in games
Characterizing the limit behavior -- that is, the attractors -- of learning dynamics is one of the most fundamental open questions in game theory. In recent work in this front, it was conjectured that the attractors of the replicator dynamic are in one-to-one correspondence with the sink equilibria of the game -- the sink strongly connected components of a game's preference graph -- , and it was established that they do stand in at least one-to-many correspondence with them. We make threefold p…

This https://arxiv.org/abs/2311.18804 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Holographic complexity of the Klebanov-Strassler background
We study the complexity of the gravity dual to the confining $SU(N)\times SU(N+M)$ Klebanov-Strassler gauge theory, which is an important test case for holographic complexity in higher-dimensional and nonconformal gauge/gravity dualities. We emphasize the dependence of the complexity on parameters of the gauge theory, finding a common behavior with confinement scale for several complexity functionals. We also analyze how the complexity diverges with the UV cut off, which is more complicated tha…

This https://arxiv.org/abs/2410.00665 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Graph-Based Representation Learning of Neuronal Dynamics and Behavior
Understanding how neuronal networks reorganize in response to external stimuli and give rise to behavior is a central challenge in neuroscience and artificial intelligence. However, existing methods often fail to capture the evolving structure of neural connectivity in ways that capture its relationship to behavior, especially in dynamic, uncertain, or high-dimensional settings with sufficient resolution or interpretability. We introduce the Temporal Attention-enhanced Variational Graph Recurre…

This https://arxiv.org/abs/2203.15681 has been replaced.
link: https://scholar.google.com/scholar?q=a

Arbitrarily small spectral gaps for random hyperbolic surfaces with many cusps
Let $\mathcal{M}_{g,n(g)}$ be the moduli space of hyperbolic surfaces of genus $g$ with $n(g)$ punctures endowed with the Weil-Petersson metric. In this paper we study the asymptotic behavior of the Cheeger constants and spectral gaps of random hyperbolic surfaces in $\mathcal{M}_{g,n(g)}$, when $n(g)$ grows slower than $g$ as $g\to \infty$.

Analyticity and asymptotic behavior of solutions to the compressible Navier-Stokes-Korteweg equations with the zero sound speed in scaling critical spaces
Takayuki Kobayashi, Ryosuke Nakasato
https://arxiv.org/abs/2506.01573

Analyticity and asymptotic behavior of solutions to the compressible Navier-Stokes-Korteweg equations with the zero sound speed in scaling critical spaces
We consider the initial-value problem in the $d$-dimensional Euclidean space $\mathbb{R}^d$ $(d \ge 3)$ for the compressible Navier-Stokes-Korteweg equations under the zero sound speed case (namely, $P'(ρ_*)=0$, where $P=P(ρ)$ stands for the pressure). The system is well-known as the Diffuse Interface model describing the motion of a vaper-liquid mixture in a compressible viscous fluid. The purposes of this paper are to obtain the global-in-time solution around the constant equilibrium states…

This https://arxiv.org/abs/2502.20491 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Examining Algorithmic Curation on Social Media: An Empirical Audit of Reddit's r/popular Feed
Platforms are increasingly relying on algorithms to curate the content within users' social media feeds. However, the growing prominence of proprietary, algorithmically curated feeds has concealed what factors influence the presentation of content on social media feeds and how that presentation affects user behavior. This lack of transparency can be detrimental to users, from reducing users' agency over their content consumption to the propagation of misinformation and toxic content. To uncover…

This https://arxiv.org/abs/2505.04608 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales
Responsibly deploying artificial intelligence (AI) / machine learning (ML) systems in high-stakes settings arguably requires not only proof of system reliability, but also continual, post-deployment monitoring to quickly detect and address any unsafe behavior. Methods for nonparametric sequential testing -- especially conformal test martingales (CTMs) and anytime-valid inference -- offer promising tools for this monitoring task. However, existing approaches are restricted to monitoring limited …

This https://arxiv.org/abs/2412.05718 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

RLZero: Direct Policy Inference from Language Without In-Domain Supervision
The reward hypothesis states that all goals and purposes can be understood as the maximization of a received scalar reward signal. However, in practice, defining such a reward signal is notoriously difficult, as humans are often unable to predict the optimal behavior corresponding to a reward function. Natural language offers an intuitive alternative for instructing reinforcement learning (RL) agents, yet previous language-conditioned approaches either require costly supervision or test-time tr…

Active Gaussian Network Model: a non-equilibrium description of protein fluctuations and allosteric behavior
Giulio Costantini, Lorenzo Caprini, Umberto Marini Bettolo Marconi, Fabio Cecconi
https://arxiv.org/abs/2505.24855

Active Gaussian Network Model: a non-equilibrium description of protein fluctuations and allosteric behavior
Understanding the link between structure and function in proteins is fundamental in molecular biology and proteomics. A central question in this context is whether allostery - where the binding of a molecule at one site affects the activity of a distant site - emerges as a further manifestation of the intricate interplay between structure, function, and intrinsic dynamics. This study explores how allosteric regulation is modified when intrinsic protein dynamics operate under out-of-equilibrium …

This https://arxiv.org/abs/2403.06708 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Tikhonov Regularization for Stochastic Non-Smooth Convex Optimization in Hilbert Spaces
To solve convex optimization problems with a noisy gradient input, we analyze the global behavior of subgradient-like flows under stochastic errors. The objective function is composite, being equal to the sum of two convex functions, one being differentiable and the other potentially non-smooth. We then use stochastic differential inclusions where the drift term is minus the subgradient of the objective function, and the diffusion term is either bounded or square-integrable. In this context, un…

High-energy dynamics of QCD: Theoretical and phenomenological results
Gabriele Gatto
https://arxiv.org/abs/2506.03222 https://arxiv.o…

High-energy dynamics of QCD: Theoretical and phenomenological results
This work investigates the behavior of hadronic matter in the high-energy Regge-Gribov (semi-hard) regime of Quantum Chromodynamics (QCD), accessible through current and future colliders such as the LHC, EIC, and FCC. Central to the analysis is the Balitsky-Fadin-Kuraev-Lipatov (BFKL) formalism, with detailed treatment of the BFKL equation in both leading and next-to-leading logarithmic approximations. A major focus is placed on the computation of real next-to-leading order (NLO) corrections to…

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau, Jae-Yun Jun, Fa\"iz Benamar, Nicolas Bredeche
https://arxiv.org/abs/2506.05236

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
Communication is a fundamental aspect of coordinated behavior in multi-agent reinforcement learning. Yet, most prior works in this field have focused on emergent communication protocols developed from scratch, often resulting in inefficient or non-interpretable systems. Inspired by the role of language in natural intelligence, we investigate how grounding agents in a human-defined language can improve learning and coordination of multiple embodied agents. We propose a framework in which agents …

This https://arxiv.org/abs/2505.06369 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Yang-Lee Quantum Criticality in Various Dimensions
The Yang-Lee universality class arises when imaginary magnetic field is tuned to its critical value in the paramagnetic phase of the $d<6$ Ising model. In $d=2$, this non-unitary Conformal Field Theory (CFT) is exactly solvable via the $M(2,5)$ minimal model. As found long ago by von Gehlen using Exact Diagonalization, the corresponding real-time, quantum critical behavior arises in the periodic Ising spin chain when the imaginary longitudinal magnetic field is tuned to its critical value from …

Can Large Language Models Trigger a Paradigm Shift in Travel Behavior Modeling? Experiences with Modeling Travel Satisfaction
Pengfei Xu, Donggen Wang
https://arxiv.org/abs/2505.23262

Can Large Language Models Trigger a Paradigm Shift in Travel Behavior Modeling? Experiences with Modeling Travel Satisfaction
As a specific domain of subjective well-being, travel satisfaction has attracted much research attention recently. Previous studies primarily use statistical models and, more recently, machine learning models to explore the determinants of travel satisfaction. Both approaches require data from sufficient sample sizes and correct prior statistical assumptions. The emergence of Large Language Models (LLMs) offers a new modeling approach that can overcome the shortcomings of the existing methods. …

Cosmological Dynamics of Accelerating Model in $f(T)$ Gravity with Special Form of Deceleration Parameter
Shivank Pal, Romanshu Garg, Gyan Prakash Singh, Gauree Shanker
https://arxiv.org/abs/2506.03756

Cosmological Dynamics of Accelerating Model in $f(T)$ Gravity with Special Form of Deceleration Parameter
In this paper, the dynamical behavior of the accelerated expansion of the universe is discussed within the framework of $f(T)$ gravity for a particular form of $ f(T)=α(-T)^{n}$. Considering a redshift-dependent parameterization of the deceleration parameter as $q(z)=q_{0}+ q_{1}\left(\frac{ \ln(N+z)}{z+1}-\ln N \right)$. We have derived the Hubble parameter in terms of redshift and discussed its effect on other cosmological parameters. Using Bayesian statistical analysis and $χ^2$-minimizati…

A Hybrid Approach to Indoor Social Navigation: Integrating Reactive Local Planning and Proactive Global Planning
Arnab Debnath, Gregory J. Stein, Jana Kosecka
https://arxiv.org/abs/2506.02593

A Hybrid Approach to Indoor Social Navigation: Integrating Reactive Local Planning and Proactive Global Planning
We consider the problem of indoor building-scale social navigation, where the robot must reach a point goal as quickly as possible without colliding with humans who are freely moving around. Factors such as varying crowd densities, unpredictable human behavior, and the constraints of indoor spaces add significant complexity to the navigation task, necessitating a more advanced approach. We propose a modular navigation framework that leverages the strengths of both classical methods and deep rei…

Investigating Timing-Based Information Leakage in Data Flow-Driven Real-Time Systems
Mohammad Fakhruddin Babar, Zain A. H. Hammadeh, Mohammad Hamad, Monowar Hasan
https://arxiv.org/abs/2506.01991

Investigating Timing-Based Information Leakage in Data Flow-Driven Real-Time Systems
Leaking information about the execution behavior of critical real-time tasks may lead to serious consequences, including violations of temporal constraints and even severe failures. We study information leakage for a special class of real-time tasks that have two execution modes, namely, typical execution (which invokes the majority of times) and critical execution (to tackle exceptional conditions). The data flow-driven applications inherit such a multimode execution model. In this paper, we i…

Frobenius theorem and fine structure of tangency sets to non-involutive distributions
Giovanni Alberti, Annalisa Massaccesi, Andrea Merlo
https://arxiv.org/abs/2506.03715

Frobenius theorem and fine structure of tangency sets to non-involutive distributions
In this paper we provide a complete answer to the question whether Frobenius' Theorem can be generalized to surfaces below the $C^{1,1}$ threshold. We study the fine structure of the tangency set in terms of involutivity of a given distribution and we highlight a tradeoff behavior between the regularity of a tangent surface and that of the tangency set. First of all, we prove a Frobenius-type result, that is, given a $k$-dimensional surface $S$ of class $C^1$ and a non-involutive $k$-distributi…

This https://arxiv.org/abs/2504.08201 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Neural Encoding and Decoding at Scale
Recent work has demonstrated that large-scale, multi-animal models are powerful tools for characterizing the relationship between neural activity and behavior. Current large-scale approaches, however, focus exclusively on either predicting neural activity from behavior (encoding) or predicting behavior from neural activity (decoding), limiting their ability to capture the bidirectional relationship between neural activity and behavior. To bridge this gap, we introduce a multimodal, multi-task m…

Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems
Anahita Jain, Husni Idris, John-Paul Clarke, Daniel Delahaye
https://arxiv.org/abs/2506.00703

Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems
We present an adaptive control scheme to enable the emergence of order within distributed, autonomous multi-agent systems. Past studies showed that under high-density conditions, order generated from traffic-following behavior reduces travel times, while under low densities, choosing direct paths is more beneficial. In this paper, we leveraged those findings to allow aircraft to independently and dynamically adjust their degree of traffic-following behavior based on the current state of the air…

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models
Yifan Hao, Chenlu Ye, Chi Han, Tong Zhang
https://arxiv.org/abs/2506.01919

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models
Transformer based models have shown remarkable capabilities in sequence learning across a wide range of tasks, often performing well on specific task by leveraging input-output examples. Despite their empirical success, a comprehensive theoretical understanding of this phenomenon remains limited. In this work, we investigate the layerwise behavior of Transformers to uncover the mechanisms underlying their multi-task generalization ability. Taking explorations on a typical sequence model, i.e, H…

Discounting and Drug Seeking in Biological Hierarchical Reinforcement Learning
Vardhan Palod, Pranav Mahajan, Veeky Baths, Boris S. Gutkin
https://arxiv.org/abs/2506.04549

Discounting and Drug Seeking in Biological Hierarchical Reinforcement Learning
Despite a strong desire to quit, individuals with long-term substance use disorder (SUD) often struggle to resist drug use, even when aware of its harmful consequences. This disconnect between knowledge and compulsive behavior reflects a fundamental cognitive-behavioral conflict in addiction. Neurobiologically, differential cue-induced activity within striatal subregions, along with dopamine-mediated connectivity from the ventral to the dorsal striatum, contributes to compulsive drug-seeking. H…