Tootfinder

In Trump 2.0, MAGA-aligned influencers and media emerge as the new mainstream - @Reuters
https://www.reuters.com/investigations/trump-20-maga-aligned-influencers-media-emerge-new-mainstream-2025-11-08/

Week 2 NFL Power Rankings: Bills, Chargers emerge as cream of the AFC crop https://www.nytimes.com/athletic/6610989/2025/09/09/nfl-power-rankings-week-2-bills-chargers/

Week 2 NFL Power Rankings: Bills, Chargers emerge as cream of the AFC crop https://www.nytimes.com/athletic/6610989/2025/09/09/nfl-power-rankings-week-2-bills-chargers/

Week 2 NFL Power Rankings: Bills, Chargers emerge as cream of the AFC crop https://www.nytimes.com/athletic/6610989/2025/09/09/nfl-power-rankings-week-2-bills-chargers/

That’s almost certainly the better strategy for them, even if the cynical view is true and they really are an investment org and not an educational institution at heart. We know that caving to bullies just marks you as a target. We know that, as @… said, those who resist grow in stature, and those who capitulate emerge as shadows of themselves (https://www.theindex.media/p/donald-trump-can-t-make-cowards-of-us-all). If Harvard is a brand, well….
But investment is a fear-driven world, and there’s a lot of fear circulating.
5/

I hold that genuine freedom can only be realized through the direct self-management of labor and the collective organization of social life by those engaged in it. No political vanguard, governmental apparatus, or capitalist hierarchy can provide emancipation, it must emerge from the autonomous initiative of workers acting in solidarity, constructing federations of production and community based on voluntary association and mutual responsibility.
For me, anarcho-syndicalism represents …

Stable and unstable spatially-periodic canards created in singular subcritical Turing bifurcations in the Brusselator system
Robert Jencks, Arjen Doelman, Tasso J. Kaper, Theodore Vo
https://arxiv.org/abs/2509.04835

Stable and unstable spatially-periodic canards created in singular subcritical Turing bifurcations in the Brusselator system
In this article, we study the Brusselator partial differential equation (PDE) in the limit in which the diffusivity of the activator is much smaller than that of the inhibitor. The PDE robustly exhibits a subcritical Turing bifurcation that, in this limit, is labeled as a singular Turing bifurcation. We show that families of spatially-periodic canard solutions emerge from this subcritical singular Turing bifurcation. Then, right after they emerge, the solutions lose their purely sinusoidal stru…

#Bandmates from defunct 80's super group still at loggerheads : Sting ( aka Gordon Sumner) sued by Andy Summers and #StewartCopeland for $2 million dollars in song arrangement royalties.
New details emerge as platinum plus Police bassist's attorneys claim the 73 yr old more likely overpaid ex ban…

TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
Christopher Kolberg, Katharina Eggensperger, Nico Pfeifer
https://arxiv.org/abs/2510.06162 https://

TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
Revealing novel insights from the relationship between molecular measurements and pathology remains a very impactful application of machine learning in biomedicine. Data in this domain typically contain only a few observations but thousands of potentially noisy features, posing challenges for conventional machine learning approaches. While prior-data fitted networks emerge as foundation models for tabular data, they are currently not suited to handle large feature counts (>500). Although featur…

Philippines government data: online gambling revenue in the country overtook traditional casinos in H1 2025, generating ~$2B, or 53% of the industry's total (Ramon Royandoyan/Nikkei Asia)
https://asia.nikkei.com/business/marke

Rise of online gambling reshapes Philippine stock market, but risks emerge
Regulatory concerns bring volatility to internet casino operator DigiPlus

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Deniz Bayazit, Aaron Mueller, Antoine Bosselut
https://arxiv.org/abs/2509.05291

Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Large language models (LLMs) learn non-trivial abstractions during pretraining, like detecting irregular plural noun subjects. However, it is not well understood when and how specific linguistic abilities emerge as traditional evaluation methods such as benchmarking fail to reveal how models acquire concepts and capabilities. To bridge this gap and better understand model training at the concept level, we use sparse crosscoders to discover and align features across model checkpoints. Using this…

Spectrum of slip dynamics, scaling & statistical laws emerge from simplified model of fault and damage zone architecture
M. Almakari, N. Kheirdast, C. Villafuerte, M. Y. Thomas, P. Dubernet, J. Cheng, A. Gupta, P. Romanet, S. Chaillat, H. S. Bhat
https://arxiv.org/abs/2509.04909

Spectrum of slip dynamics, scaling & statistical laws emerge from simplified model of fault and damage zone architecture
Seismological and geodetic observations of a fault zone reveal a wide range of slip dynamics, scaling, and statistical laws. However, the underlying physical mechanisms remain unclear. In this study, we show that incorporating an off-fault damage zone-characterized by distributed fractures surrounding a main fault-can reproduce many key features observed in seismic and geodetic data. We model a 2D shear fault zone in which off-fault cracks follow power-law size and density distributions, and ar…

Entanglement Entropy and Complexity in Dyonic Quantum Black Holes
Sanhita Parihar, Gurmeet Singh Punia
https://arxiv.org/abs/2510.05264 https://arxiv.org/p…

Entanglement Entropy and Complexity in Dyonic Quantum Black Holes
In this work, we study the holographic entanglement entropy (HEE) and holographic complexity (HC) for three-dimensional dyonic quantum black holes, incorporating corrections arising from bulk quantum fields in the setup of double holography. We investigate the holographic entanglement entropy through the holographic Ryu-Takayanagi (RT) prescription and the island prescription. Using RT extremization, we evaluate HEE for connected and disconnected (island) surfaces and show islands emerge when R…

Language Model Perplexity Predicts Scientific Surprise and Transformative Impact
Zhen Zhang (School of Information Management, Nanjing University, Knowledge Lab, University of Chicago), James Evans (Department of Sociology, University of Chicago, Santa Fe Institute)
https://arxiv.org/abs/2509.05591…

Language Model Perplexity Predicts Scientific Surprise and Transformative Impact
Scientific breakthroughs typically emerge through the surprising violation of established research ideas, yet quantifying surprise has remained elusive because it requires a coherent model of all contemporary scientific worldviews. Deep neural networks like large language models (LLMs) are arbitrary function approximators tuned to consistently expect the expressions and ideas on which they were trained and those semantically nearby. This suggests that as LLMs improve at generating plausible tex…

Electromagnetic probes as signatures for a first-order QCD phase transition
Mohamad Lukman Aidid Mohd Yusoff, Norhasliza Yusof, Hasan Abu Kassim, Jan Steinheimer, Marcus Bleicher, Apiwit Kittiratpattana, Ayut Limphirat, Christoph Herold
https://arxiv.org/abs/2510.05565

Electromagnetic probes as signatures for a first-order QCD phase transition
We investigate dimuon production in the context of a first-order phase transition in QCD matter using a chiral fluid dynamics model. This approach incorporates non-equilibrium effects such as entropy production and reheating, which emerge during the dynamical evolution through a first-order phase transition. By comparing equilibrium and non-equilibrium scenarios across a range of beam energies ($\sqrt{s_{NN}}=2.2-6.2$~GeV), we analyze the resulting invariant mass spectra. Our results reveal a s…

Heartbreaking. They’re barely recovering from Beryl. #HurricaneMelissa
https://abcnews.go.com/US/disastrous-images-emerge-jamaica…

Disastrous images emerge from Jamaica following direct hit by Hurricane Melissa
"Communities and towns no longer look the same," said the prime minister.

For the first time in 40 Years, Panama's deep and cold ocean waters fail to emerge #Panama

For the first time in 40 Years, Panama's deep and cold ocean waters fail to emerge
The natural phenomenon of upwelling, which occurs annually in the Gulf of Panama, failed for the first time on record in 2025. A study led by scientists from the Smithsonian Tropical Research Institute (STRI) indicates that the weakening of the trade winds was the cause of this event. This finding highlights the climate's impact on fundamental oceanic processes and the coastal communities that depend on them.

High-harmonic spectroscopy of mobility edges in one-dimensional quasicrystals
H. K. Avetissian, G. F. Mkrtchian
https://arxiv.org/abs/2509.06647 https://ar…

High-harmonic spectroscopy of mobility edges in one-dimensional quasicrystals
Quasicrystals occupy a unique position between periodic and disordered systems, where localization phenomena such as Anderson transitions and mobility edges can emerge even in the absence of disorder. This distinctive behavior motivates the development of robust, all-optical diagnostic tools capable of probing the structural, topological, and dynamical properties of such systems. In this work, focusing on generalized Aubry-André-Harper models, we demonstrate that high-harmonic generation pheno…

‘Cheaper, More Humane’ Drones Emerge as Key Weapon in Mosquito Control from Poland to Africa https://www.goodnewsnetwork.org/cheaper-more-humane-drones-emerge-as-key-weapon-in-mosquito-control-from-poland-to-africa/

'Cheaper, More Humane' Drones Emerge as Key Weapon in Mosquito Control from Poland to Africa
In Ghana, Kenya, Japan, Poland and probably other countries as well, it's now the mosquitos who fear the sound of buzzing

Superconductivity of Incoherent Electrons near the Relativistic Mott Transition in Twisted Dirac Materials
Veronika C. Stangier, Mathias S. Scheurer, Daniel E. Sheehy, J\"org Schmalian
https://arxiv.org/abs/2510.06313

Superconductivity of Incoherent Electrons near the Relativistic Mott Transition in Twisted Dirac Materials
We demonstrate that superconductivity driven by strong quantum-critical fluctuations can emerge near relativistic Mott transitions in twisted two-dimensional materials, taking on a remarkably rich character. In twisted double-bilayer WSe$_2$, all time-reversal-even, gap-opening collective modes promote pairing, whereas time-reversal-odd modes do not. In a Dirac model of twisted bilayer graphene, the Gross-Neveu transition into inter-valley-coherent insulators gives rise to a spectrum of degener…

This is wild.
EDIT:
https://castle-journal.com/sensational-claims-emerge-following-south-african-ambassadors-tragic-death-in-paris/

Weekend #Plankton Factoid 🦠🦐
While crustaceans are common as #zooplankton, insects are very rare, but one group is found globally in freshwaters. Chaoborus (phantom midge or glassworm) spend the majority of their life as predaceous plankton, but are familiar to many when the adults emerge lake…

Quantum Computing as a Service - a Software Engineering Perspective
Aakash Ahmad, Muhammad Waseem, Bakheet Aljedaani, Mahdi Fahmideh, Peng Liang, Feras Awaysheh
https://arxiv.org/abs/2510.04982

Quantum Computing as a Service - a Software Engineering Perspective
Quantum systems have started to emerge as a disruptive technology and enabling platforms - exploiting the principles of quantum mechanics via programmable quantum bits (QuBits) - to achieve quantum supremacy in computing. Academic research, industrial projects (e.g., Amazon Braket, IBM Qiskit), and consortiums like 'Quantum Flagship' are striving to develop practically capable and commercially viable quantum computing (QC) systems and technologies. Quantum Computing as a Service (QCaaS) is view…

MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
Jingyuan Deng, Yujiu Yang
https://arxiv.org/abs/2510.02790 https://arxiv.o…

MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
Large vision-language models (LVLMs) have shown remarkable performance in visual-language understanding for downstream multimodal tasks. While their capabilities are improving, problems emerge simultaneously. Among those problems, the hallucinations have attracted much attention, which stands for the phenomenon where LVLMs generate contradictory content to their input visual and text contents. Many approaches have been proposed to deal with this issue, such as contrastive decoding and attention…

🟢 Was ist eigentlich #Greenwashing? Eine neue Übersichtsstudie hat 646 Definitionen ausgewertet.
Greenwashing bedeutet, dass Unternehmen sich „grüner“ darstellen, als sie wirklich sind – oft durch vage, irrelevante oder selektive Infos.
Das „Need for Balance“-Modell beschreibt auch das Gegenteil –

What is greenwashing- a scoping review of greenwashing definitions and development of the need-for- balance model - Journal of Sustainable Business
As organizations are under increasing pressure to demonstrate environmental responsibility, concerns about greenwashing have grown considerably. Despite its significance, there is no consensus on its definition, which complicates both research and mitigation efforts. To address this gap, we conducted a scoping review of 332 articles published across 174 journals, analyzing 646 definitions of greenwashing. While terminology varies, common themes emerge, and two main types of definitions can be d…

Dynamical Learning in Deep Asymmetric Recurrent Neural Networks
Davide Badalotti, Carlo Baldassi, Marc M\'ezard, Mattia Scardecchia, Riccardo Zecchina
https://arxiv.org/abs/2509.05041

Dynamical Learning in Deep Asymmetric Recurrent Neural Networks
We show that asymmetric deep recurrent neural networks, enhanced with additional sparse excitatory couplings, give rise to an exponentially large, dense accessible manifold of internal representations which can be found by different algorithms, including simple iterative dynamics. Building on the geometrical properties of the stable configurations, we propose a distributed learning scheme in which input-output associations emerge naturally from the recurrent dynamics, without any need of gradie…

Collective dynamics on higher-order networks
Federico Battiston, Christian Bick, Maxime Lucas, Ana P. Mill\'an, Per Sebastian Skardal, Yuanzhao Zhang
https://arxiv.org/abs/2510.05253

Collective dynamics on higher-order networks
Higher-order interactions that nonlinearly couple more than two nodes are ubiquitous in networked systems. Here we provide an overview of the rapidly growing field of dynamical systems with higher-order interactions, and of the techniques which can be used to describe and analyze them. We focus in particular on new phenomena that emerge when nonpairwise interactions are considered. We conclude by discussing open questions and promising future directions on the collective dynamics of higher-orde…

Emergent Directedness in Social Contagion
Fabian Tschofenig, Douglas Guilbeault
https://arxiv.org/abs/2510.06012 https://arxiv.org/pdf/2510.06012

Emergent Directedness in Social Contagion
An enduring challenge in contagion theory is that the pathways contagions follow through social networks exhibit emergent complexities that are difficult to predict using network structure. Here, we address this challenge by developing a causal modeling framework that (i) simulates the possible network pathways that emerge as contagions spread and (ii) identifies which edges and nodes are most impactful on diffusion across these possible pathways. This yields a surprising discovery. If people r…

If Texas guardsman enter Illinois without IL authorization, & so are not legally a military force to the state of Illinois, & if they emerge from Great Lakes base carrying a gun that’s properly of the TX NG’s arsenal, do they both break law by not being licensed in IL to carry a firearm arm _&_ is the firearm itself contraband to & in state of IL, so could guardsman be charged, as any civilian would be, both w/some sort of illegal possession of a firearm arm _&_ possessio…

Dispersion and the transport of exciton-polaritons in an optical conveyor belt
Xingran Xu, Chunyu Jia, Xin-Xin Yang
https://arxiv.org/abs/2510.07049 https://

Dispersion and the transport of exciton-polaritons in an optical conveyor belt
The growing interest in exciton-polaritons has driven the need to manipulate their motion and engineer their band structures to the forefront of contemporary research. This study explores the band structures that emerge from a spatially modulated potential, ingeniously realized through the use of an optical conveyor belt. By leveraging Bloch theory and conducting a meticulous analysis of the time evolution of polariton intensity in Fourier space, we have derived the energy dispersion relations …

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Pengrui Han, Rafal Kocielnik, Peiyang Song, Ramit Debnath, Dean Mobbs, Anima Anandkumar, R. Michael Alvarez
https://arxiv.org/abs/2509.03730

The Personality Illusion: Revealing Dissociation Between Self-Reports & Behavior in LLMs
Personality traits have long been studied as predictors of human behavior.Recent advances in Large Language Models (LLMs) suggest similar patterns may emerge in artificial systems, with advanced LLMs displaying consistent behavioral tendencies resembling human traits like agreeableness and self-regulation. Understanding these patterns is crucial, yet prior work primarily relied on simplified self-reports and heuristic prompting, with little behavioral validation. In this study, we systematicall…

Magnetic excitations in biaxial-strain detwinned $\alpha$-RuCl$_{3}$
Yi Li, Yanyan Shangguan, Xinzhe Wang, Ruixian Liu, Chang Liu, Yongqi Han, Zhaosheng Wang, Christian Balz, Ross Stewart, Shun-Li Yu, Jinsheng Wen, Jian-Xin Li, Xingye Lu
https://arxiv.org/abs/2509.06753

Magnetic excitations in biaxial-strain detwinned $α$-RuCl$_{3}$
The honeycomb magnet $α$-RuCl$_{3}$ has been a leading candidate for realizing the Kitaev quantum spin liquid (QSL), but its intrinsic spin dynamics have remained obscured by crystal twinning. Here we apply biaxial anisotropic strain to detwin $α$-RuCl$_{3}$ single crystals and directly visualize the intrinsic magnetic excitations using inelastic neutron scattering. We discover that the low-energy spin waves emerge from the $M$ points -- transverse to the magnetic Bragg peaks -- providing dir…

Micah Parsons-less Cowboys emerge from narrow loss to Eagles with same unanswered questions https://www.nytimes.com/athletic/6600735/2025/09/05/cowboys-eagles-nfl-opener-micah-parsons/

Russell Wilson trade rumors: Giants QB expected to emerge as candidate ahead of NFL trade deadline, per report

https://www.cbssports.com/nfl/news/russel…

Generation and manipulation of photon number wave packets in photonic cavities
Luca Nimmesgern, Moritz Cygorek, Doris E. Reiter, Vollrath Martin Axt
https://arxiv.org/abs/2509.03083

Generation and manipulation of photon number wave packets in photonic cavities
Quantum emitters inside optical cavities can create not only fixed photon number states but also photon number wave packets, which are states with a finite photon number distribution that oscillates in time. These states emerge when the emitter is driven by an external field while coupled to the cavity. We show that by rapidly changing the driving strength, new wave packets can be generated, allowing multiple packets to coexist and evolve independently. We classify the resulting wave packet beh…

Skynet, pretty much:
New Golden Dome details emerge from industry day - Defense One
https://www.defenseone.com/technology/2025/08/new-golden-dome-details-emerge-industry-day/407476/

"First, everything — everything — Trump has done on trade has, in addition to its illegality, been a violation of past U.S. agreements with other countries. So we emerge from the trade war as a nation that can no longer be trusted to honor its promises."
"We could have achieved victory by not hitting ourselves in the face in the first place."

Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
Feng Yuan, Yifan Gao, Yuehua Ye, Haoyue Li, Xin Gao
https://arxiv.org/abs/2510.02815 https://

Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
Cross-modal medical image synthesis research focuses on reconstructing missing imaging modalities from available ones to support clinical diagnosis. Driven by clinical necessities for flexible modality reconstruction, we explore K to N medical generation, where three critical challenges emerge: How can we model the heterogeneous contributions of different modalities to various target tasks? How can we ensure fusion quality control to prevent degradation from noisy information? How can we mainta…

Spin dynamics in natural multiferroic pyroxene NaFeSi$_2$O$_6$
Oleksandr Prokhnenko (Helmholtz-Zentrum Berlin f\H{u}r Materialien und Energie, Berlin, Germany), Stanislav E. Nikitin (PSI Center for Neutron and Muon Sciences, Paul Scherrer Institut, Switzerland), Koji Kaneko (Materials Sciences Research Center, Japan Atomic Energy Agency, Tokai, Japan, Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, Japan), Chihiro Tabata (Materials Sciences Research Center, Japan A…

Spin dynamics in natural multiferroic pyroxene NaFeSi$_2$O$_6$
Spin dynamics in the natural mineral aegirine, NaFeSi$_2$O$_6$, a member of the pyroxene family, was studied by elastic and inelastic neutron scattering. Magnetization and specific heat measurements as well as single-crystal neutron diffraction maps, taken in the temperature range 2 - 20 K, confirm two successive magnetic transitions at 8.8 and 5.8 K, consistent with previous studies. The observed spin-wave excitations emerge from the incommensurate magnetic Bragg peaks corresponding to the pro…

Interesting questions emerge these days: how do you punish a driverless car for a traffic offence. Or an AI for libel, for instance?
https://www.theguardian.com/technology/2025/sep/29/waymo-illegal-u-turn-driverless-car?CMP=Share_…

Neural Receptive Fields, Stimulus Space Embedding and Effective Geometry of Scale-Free Networks
Vasilii Tiselko, Alexander Gorsky, Yuri Dabaghian
https://arxiv.org/abs/2509.25453

Neural Receptive Fields, Stimulus Space Embedding and Effective Geometry of Scale-Free Networks
Understanding how neuronal dynamics couple with stimuli space and how receptive fields emerge and organize within brain networks remains a fundamental challenge in neuroscience. Several models attempted to explain these phenomena, often by adjusting the network to empirical manifestations, but struggled to achieve biological plausibility. Here, we propose a physiologically grounded model in which receptive fields and population-level attractor dynamics emerge naturally from the effective hyperb…

Pink rose and a rosebud. Mary and Joseph Retreat Center, Rancho Palos Verdes, California, USA. August, 2025. #ranchopalosverdes #garden #rosegarden

🇺🇦 #NowPlaying on KEXP's #MechanicalBreakdown
Fischerspooner:
🎵 Emerge
#Fischerspooner
https://paramour.bandcamp.com/track/fischerspooner-emerge-paramour-remix
https://open.spotify.com/track/3vyKSb9sAdXl0kQ1KnS9fY

Les humains modernes dateraient de 500 000 ans plus tot que l'on pensait.
https://www.bbc.com/news/articles/cdx01ve5151o

🇺🇦 #NowPlaying on #BBC6Music's #FreakZonePlaylist
Apta:
🎵 Emerge
#Apta
https://apta.bandcamp.com/track/emerge-2

Sources: under the US-China framework, a US investor consortium that includes Oracle, Silver Lake, and a16z would hold an ~80% stake in TikTok's US business (Wall Street Journal)
https://www.wsj.com/tech/details-emerge-on-u-s-china-tiktok-deal-594e009f

The Influence of Cold Jupiters in the Formation of Close-in planets. II. Collisional Growth of Planetesimals
Marcela Best, Antranik A. Sefilian, Carolina Charalambous, Kedron Silsbee, Cristobal Petrovich
https://arxiv.org/abs/2509.02745

The Influence of Cold Jupiters in the Formation of Close-in planets. II. Collisional Growth of Planetesimals
Exoplanet observations have shown that the occurrence and orbital architectures of close-in super-Earths and sub-Neptunes are shaped by the presence of outer gas giant planets. This influence may emerge during the formation stage or from later dynamical evolution by a yet elusive physical process. In this work, we investigate the early stages of planetesimal accretion, modeling the joint collisional and dynamical evolution of planetesimals under the gravitational influence of a cold Jupiter and…

Characterization of Lattice Properties Within Modal Extensions
Alfredo R. Freire (Department of Philosophy, University of Brasilia, Brasil), Manuel A. Martins (Department of Mathematics, University of Aveiro, Portugal)
https://arxiv.org/abs/2509.25882

Characterization of Lattice Properties Within Modal Extensions
This paper investigates the extension of lattice-based logics into modal languages. We observe that such extensions admit multiple approaches, as the interpretation of the necessity operator is not uniquely determined by the underlying lattice structure. The most natural interpretation defines necessity as the meet of the truth values of a formula across all accessible worlds -- an approach we refer to as the \textitnormal interpretation. We examine the logical properties that emerge under this…

Edge GPU Aware Multiple AI Model Pipeline for Accelerated MRI Reconstruction and Analysis
Ashiyana Abdul Majeed, Mahmoud Meribout, Safa Mohammed Sali
https://arxiv.org/abs/2510.01730

Edge GPU Aware Multiple AI Model Pipeline for Accelerated MRI Reconstruction and Analysis
Advancements in AI have greatly enhanced the medical imaging process, making it quicker to diagnose patients. However, very few have investigated the optimization of a multi-model system with hardware acceleration. As specialized edge devices emerge, the efficient use of their accelerators is becoming increasingly crucial. This paper proposes a hardware-accelerated method for simultaneous reconstruction and diagnosis of \ac{MRI} from \ac{CT} images. Real-time performance of achieving a throughp…

Salió el cartel de Lollapalooza 2026
Bien «meh» para mi gusto...
@…
#LollaCL2026 #LollaCL

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
Yao Tong, Haonan Wang, Siquan Li, Kenji Kawaguchi, Tianyang Hu
https://arxiv.org/abs/2509.26404

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From
Fingerprinting Large Language Models (LLMs) is essential for provenance verification and model attribution. Existing methods typically extract post-hoc signatures based on training dynamics, data exposure, or hyperparameters -- properties that only emerge after training begins. In contrast, we propose a stronger and more intrinsic notion of LLM fingerprinting: SeedPrints, a method that leverages random initialization biases as persistent, seed-dependent identifiers present even before training.…

$w$-mode oscillation of neutron star in a new relativistic hybrid model
D. Dey, Jeet Amrit Pattnaik, R. N. Panda, S. K. Patra
https://arxiv.org/abs/2509.01175 https://

$w$-mode oscillation of neutron star in a new relativistic hybrid model
We investigate how the pulsation frequencies of axial gravitational-wave modes ($w$-modes) in a non-rotating neutron star depend on its composition, particularly when including quarkyonic matter and fermionic dark matter. These modes emerge from the coupling between the star's fluid component and the gravitational field of general relativity, which are highly damped and characterized by complex frequencies with comparable real and imaginary parts. Using a relativistic mean field formalism for t…

AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
Chenguang Du, Chuyi Wang, Yihan Chao, Xiaohui Xie, Yong Cui
https://arxiv.org/abs/2509.02317

AI Agent Communication from Internet Architecture Perspective: Challenges and Opportunities
The rapid development of AI agents leads to a surge in communication demands. Alongside this rise, a variety of frameworks and protocols emerge. While these efforts demonstrate the vitality of the field, they also highlight increasing fragmentation, with redundant innovation and siloed designs hindering cross-domain interoperability. These challenges underscore the need for a systematic perspective to guide the development of scalable, secure, and sustainable AI agent ecosystems. To address thi…

APREBot: Active Perception System for Reflexive Evasion Robot
Zihao Xu, Kuankuan Sima, Junhao Deng, Zixuan Zhuang, Chunzheng Wang, Ce Hao, Jin Song Dong
https://arxiv.org/abs/2509.24733

APREBot: Active Perception System for Reflexive Evasion Robot
Reliable onboard perception is critical for quadruped robots navigating dynamic environments, where obstacles can emerge from any direction under strict reaction-time constraints. Single-sensor systems face inherent limitations: LiDAR provides omnidirectional coverage but lacks rich texture information, while cameras capture high-resolution detail but suffer from restricted field of view. We introduce APREBot (Active Perception System for Reflexive Evasion Robot), a novel framework that integra…

A variational formulation of stochastic thermodynamics. Part I: Finite-dimensional systems
H\'ector Vaquero del Pino, Fran\c{c}ois Gay-Balmaz, Hiroaki Yoshimura, Lock Yue Chew
https://arxiv.org/abs/2510.01787

A variational formulation of stochastic thermodynamics. Part I: Finite-dimensional systems
In this paper, we develop a variational foundation for stochastic thermodynamics of finite-dimensional, continuous-time systems. Requiring the second law (non-negative average total entropy production) systematically yields a consistent thermodynamic structure, from which novel generalized fluctuation-dissipation relations emerge naturally, ensuring local detailed balance. This principle extends key results of stochastic thermodynamics including an individual trajectory level description of bot…

Extremely Large and Angle-Dependent Magnetoresistance in Kagome Dirac Semimetal RFe$_6$Sn$_6$ (R=Ho, Dy)
Susanta Ghosh, Achintya Low, Nayana Devaraj, Susmita Changdar, Awadhesh Narayan, Setti Thirupathaiah
https://arxiv.org/abs/2509.02010

Extremely Large and Angle-Dependent Magnetoresistance in Kagome Dirac Semimetal RFe$_6$Sn$_6$ (R=Ho, Dy)
We report on the electronic, magnetic, and magneto-transport properties of Fe-based kagome Dirac system, RFe$_6$Sn$_6$ (R = Ho, Dy). Magnetic properties study reveals an antiferromagnetic order with N$\acute{e}$el temperature of $T_N \approx$ 570 K. Additionally, a weak ferromagnetic order emerge at low temperatures. Magnetotransport measurements demonstrate an extremely large magnetoresistance (XMR) reaching as high as $3\times 10^{3} \%$ for HoFe$_6$Sn$_6$ and $ 1\times 10^{3} \%$ for DyFe$_6…

❝The irony is that…the few who resist him — the ones who say no, who absorb the punishment and ridicule — emerge larger, not smaller. They grow in stature, even if only by contrast.❞
❝[Institutions] fear the heat, the Twitter storm, the boycott threats, the possibility of regulatory retaliation. But in trying to avoid trouble, they entangle themselves in it.❞ Trump as Tar Baby.

Cultural tightness and social cohesion under evolving norms
Filippo Zimmaro, Jacopo Grilli, Mirta Galesic, Alexander J. Stewart
https://arxiv.org/abs/2509.01848 https://

Cultural tightness and social cohesion under evolving norms
Successful collective action on issues from climate change to the maintenance of democracy depends on societal properties such as cultural tightness and social cohesion. How these properties evolve is not well understood because they emerge from a complex interplay between beliefs and behaviors that are usually modeled separately. Here we address this challenge by developing a game-theoretical framework incorporating norm-utility models to study the coevolutionary dynamics of cooperative action…

Hybrid Inflation from Fermion Condensate
Stephon Alexander, Pisin Chen, Jinglong Liu, Antonino Marciano, Misao Sasaki, Xuan-Lin Su
https://arxiv.org/abs/2509.25290 https://

Hybrid Inflation from Fermion Condensate
We investigate how inflation can emerge from four-fermion interactions generated by spacetime torsion, eliminating the need for additional scalar fields beyond the Standard Model. We partition fermions in two sectors and introduce two bound fields. In the effective theory approach, once all the fermions have been integrated out, the bound fields serve as the inflaton and the auxiliary field, in analogy to the hybrid inflation and accounting for a waterfall (hybrid) mechanism. The inclusion of a…

🪸 Scientists reveal the mechanism behind sea urchin twinning
#biology

Scientists reveal the mechanism behind sea urchin twinning
Researchers at University of Tsukuba examined how twin organisms can emerge from a single fertilized egg by studying sea urchin embryos. Their findings revealed that when an early-stage embryo is split in half, each portion is able to regenerate its own developmental plan. The team uncovered the dynamic cellular processes and genetic programs that allow each fragment to reorganize and grow into a complete individual.

LAPIS: A Performance Portable, High Productivity Compiler Framework
Brian Kelley, Sivasankaran Rajamanickam
https://arxiv.org/abs/2509.25605 https://arxiv.…

LAPIS: A Performance Portable, High Productivity Compiler Framework
Portability, performance, and productivity are three critical dimensions for evaluating a programming model or compiler infrastructure. Several modern programming models for computational science focus on performance and portability. On the other end, several machine learning focused programming models focus on portability and productivity. A clear solution that is strong in all three dimensions has yet to emerge. A second related problem arises when use cases from computational science converg…

Collective is different: Information exchange and speed-accuracy trade-offs in self-organized patterning
Ashutosh Tripathi, J\"orn Dunkel, Dominic J. Skinner
https://arxiv.org/abs/2510.01397

Collective is different: Information exchange and speed-accuracy trade-offs in self-organized patterning
During development, highly ordered structures emerge as cells collectively coordinate with each other. While recent advances have clarified how individual cells process and respond to external signals, understanding collective cellular decision making remains a major challenge. Here, we introduce a minimal, analytically tractable, model of cell patterning via local cell-cell communication. Using this framework, we identify a trade-off between the speed and accuracy of collective pattern formati…

Too Noisy to Collude? Algorithmic Collusion Under Laplacian Noise
Niuniu Zhang
https://arxiv.org/abs/2509.02800 https://arxiv.org/pdf/2509.02800

Too Noisy to Collude? Algorithmic Collusion Under Laplacian Noise
The rise of autonomous pricing systems has sparked growing concern over algorithmic collusion in markets from retail to housing. This paper examines controlled information quality as an ex ante policy lever: by reducing the fidelity of data that pricing algorithms draw on, regulators can frustrate collusion before supracompetitive prices emerge. We show, first, that information quality is the central driver of competitive outcomes, shaping prices, profits, and consumer welfare. Second, we demon…

Diffraction-limited operation of micro-metalenses: fundamental bounds and designed rules for pixel integration
Nicolas Kossowski, Christina Kyrou, R\'emi Colom, Pierre-Marie Coulon, Virginie Br\"andli, Jean-Luc Reverchon, Samira Khadir, Patrice Genevet
https://arxiv.org/abs/2510.04154

Diffraction-limited operation of micro-metalenses: fundamental bounds and designed rules for pixel integration
Metasurfaces provide a compact, flexible, and reliable solution for controlling the wavefront of light. In imaging systems, micro-lens arrays are integrated with pixel matrices to reduce optical crosstalk, enhance photon collection efficiency, and improve spatial resolution. However, as the aperture size of the photonic devices decreases, fundamental limitations associated with diffraction emerge. Here, we theoretically analyze and experimentally demonstrate that these constraints also affect t…

Browns, Rams Emerge as Potential Trade Destinations for Raiders’ Misused OL https://heavy.com/sports/nfl/las-vegas-raiders/jackson-powers-johnson-rams-browns/?adt_ei=[email]

I don’t GM nearly as often as I used to. However, today was the first #DCCRPG game I’ve run, and surprisingly it wasn’t a disaster.
I may have to do this again soon.
#ttrpg

Neural and behavioral reinstatement jointly reflect retrieval of narrative events https://www.nature.com/articles/s41467-025-62375-9 by @…

Neural and behavioral reinstatement jointly reflect retrieval of narrative events - Nature Communications
When people recall a movie, their eye movements and brain activity resemble those observed during the viewing. These behavioral and neural reactivations are linked through a common process, likely reflecting the specific internal experiences that emerge in an instance of recall.

Sources: under the US-China framework, a US investor consortium that includes Oracle, Silver Lake, and a16z would hold an ~80% stake in TikTok's US business (Wall Street Journal)
https://www.wsj.com/tech/details-emerge-on

Quantum Vacuum energy as the origin of Gravity
Andr\'e LeClair
https://arxiv.org/abs/2509.02636 https://arxiv.org/pdf/2509.02636

Quantum Vacuum energy as the origin of Gravity
We explore the idea that quantum vacuum energy $ρ_{\rm vac} $ is at the origin of Gravity as a theoretical exercise. We formulate a gravitational version of the electromagnetic Casimir effect, and provide an argument for how gravity can arise from $ρ_{\rm vac} $ by showing how Einstein's field equations emerge in the form of Friedmann's equations. This leads to the idea that Newton's constant $G_N$ is environmental, namely it depends on the total mass-energy of the Universe $M_\infty $ and it…

Jordan Love continues to emerge as one of NFL's most reliable passers: Week 8 Quick Outs https://www.nytimes.com/athletic/6758810/2025/10/29/nfl-quick-outs-jordan-love-ravens-eagles/

'Could've been an email': Hegseth mocked as details emerge on 'short speech' to top brass - Raw Story
https://www.rawstory.com/pete-hegseth-2674045596/

MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
Changsheng Zhao, Ernie Chang, Zechun Liu, Chia-Jung Chang, Wei Wen, Chen Lai, Rick Cao, Yuandong Tian, Raghuraman Krishnamoorthi, Yangyang Shi, Vikas Chandra
https://arxiv.org/abs/2509.24945

MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
The paradigm shift in large language models (LLMs) from instinctive responses to chain-of-thought (CoT) reasoning has fueled two prevailing assumptions: (1) reasoning capabilities only emerge in sufficiently large models, and (2) such capabilities require training on massive datasets. While the first assumption has already been challenged by recent sub-billion-parameter reasoning models such as Qwen3-0.6B and DeepSeek distilled variants, the second remains largely unquestioned. In this work, we…

High-mass microquasars from binary to black hole scale
Rolf Walder, Doris Folini
https://arxiv.org/abs/2509.02313 https://arxiv.org/pdf/2509.02313

High-mass microquasars from binary to black hole scale
We present a 3D hydrodynamical simulation of a wind-accreting high-mass microquasar, from 30 binary separations (d) to 256 black hole (BH) gravitational radii, over one-sixth of a full orbit in time, with system parameters inspired by Cyg X-1. The simulation allows key system components to emerge naturally as inter-dependent quasi-stationary parts of an inherently multi-scale flow. The BH accretion disk is highly eccentric, with spirally shaped accreting and decreting zones. Its flow field is c…

🇺🇦 #NowPlaying on KEXP's #EasternEchoes
Wisp:
🎵 After Dark
#Wisp
https://emerge.bandcamp.com/track/dark-cinder
https://open.spotify.com/track/2iKuTO1BbGdEbZVXFJwHYs

Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos, Frank Kargl
https://arxiv.org/abs/2508.13813

Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
As AI systems increasingly rely on training data, assessing dataset trustworthiness has become critical, particularly for properties like fairness or bias that emerge at the dataset level. Prior work has used Subjective Logic to assess trustworthiness of individual data, but not to evaluate trustworthiness properties that emerge only at the level of the dataset as a whole. This paper introduces the first formal framework for assessing the trustworthiness of AI training datasets, enabling uncert…

Cowboys RB depth chart: Will Javonte Williams or Miles Sanders emerge as Dallas starter? https://www.sportingnews.com/us/nfl/dallas-cowboys/news/cowboys-rb-depth-chart-javonte-williams-miles-sanders/702bfec1fc6b…

Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments
Hailong Zhang, Yinfeng Yu, Liejun Wang, Fuchun Sun, Wendong Zheng
https://arxiv.org/abs/2509.22698

Advancing Audio-Visual Navigation Through Multi-Agent Collaboration in 3D Environments
Intelligent agents often require collaborative strategies to achieve complex tasks beyond individual capabilities in real-world scenarios. While existing audio-visual navigation (AVN) research mainly focuses on single-agent systems, their limitations emerge in dynamic 3D environments where rapid multi-agent coordination is critical, especially for time-sensitive applications like emergency response. This paper introduces MASTAVN (Multi-Agent Scalable Transformer Audio-Visual Navigation), a scal…

"One defect, one potential" strategy for accurate machine learning prediction of defect phonons
Junjie Zhou, Xinpeng Li, Menglin Huang, Shiyou Chen
https://arxiv.org/abs/2509.00498

"One defect, one potential" strategy for accurate machine learning prediction of defect phonons
Atomic vibrations play a critical role in phonon-assisted electron transitions at defects in solids. However, accurate phonon calculations in defect systems are often hindered by the high computational cost of large-supercell first-principles calculations. Recently, foundation models, such as universal machine learning interatomic potentials (MLIPs), emerge as a promising alternative for rapid phonon calculations, but the quantitatively low accuracy restricts its fundamental applicability for h…

Scale-free Points-of-Interest Distribution in a City Emerging from Homogeneous Poissonian-point Processes
Eleonora Andreotti, Ulysse Marquis, Maurizio napolitano, Riccardo Gallotti
https://arxiv.org/abs/2509.01699

Scale-free Points-of-Interest Distribution in a City Emerging from Homogeneous Poissonian-point Processes
Urban systems often exhibit scale-invariant properties, with power-law distributions observed in various spatial and temporal patterns of human behavior. A prominent example is the distribution of commercial activities and other Points of Interest (POIs) across cities. However, the mechanisms by which such heavy-tailed behaviors emerge from local urban dynamics remain poorly understood. In this work, we demonstrate that global inhomogeneity in the spatial distribution of POIs can arise from the…

Raiders' Surprising Self-Reflection Uncovers Fascinating Truths https://www.si.com/nfl/raiders/las-vegas-pete-carroll-indianpolis-colts-brock-bowers-ashton-jeanty

Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels
Lucas Rakotoarivony
https://arxiv.org/abs/2508.21424 https://arxiv.org/pdf/2508.2142…

Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels
Deep learning models have achieved state-of-the-art performance in many computer vision tasks. However, in real-world scenarios, novel classes that were unseen during training often emerge, requiring models to acquire new knowledge incrementally. Class-Incremental Learning (CIL) methods enable a model to learn novel classes while retaining knowledge of previous classes. However, these methods make the strong assumption that the incremental dataset is fully labeled, which is unrealistic in pract…

Designing Ethereum's Geographical (De)Centralization Beyond the Atlantic
Sen Yang, Burak \"Oz, Fei Wu, Fan Zhang
https://arxiv.org/abs/2509.21475 https://

Designing Ethereum's Geographical (De)Centralization Beyond the Atlantic
Decentralization has a geographic dimension that conventional metrics such as stake distribution overlook. Where validators run affects resilience to regional shocks (outages, disasters, government intervention) and fairness in reward access. Yet in permissionless systems, locations cannot be mandated, but they emerge from incentives. Today, Ethereum's validators cluster along the Atlantic (EU and U.S. East Coast), where latency is structurally favorable. This raises a key question: when some r…

A Concurrent Modular Agent: Framework for Autonomous LLM Agents
Norihiro Maruyama, Takahide Yoshida, Hiroki Sato, Atsushi Masumori, Johnsmith, Takashi Ikegami
https://arxiv.org/abs/2508.19042

A Concurrent Modular Agent: Framework for Autonomous LLM Agents
We introduce the Concurrent Modular Agent (CMA), a framework that orchestrates multiple Large-Language-Model (LLM)-based modules that operate fully asynchronously yet maintain a coherent and fault-tolerant behavioral loop. This framework addresses long-standing difficulties in agent architectures by letting intention emerge from language-mediated interactions among autonomous processes. This approach enables flexible, adaptive, and context-dependent behavior through the combination of concurren…

A pair of pass-rushers emerge: Five things we learned this week at Raiders training camp https://www.nytimes.com/athletic/6571874/2025/08/24/raiders-final-training-camp-practice-report/

Online Homogeneity Can Emerge Without Filtering Algorithms or Homophily Preferences
Petter T\"ornberg
https://arxiv.org/abs/2508.10466 https://arxiv.o…

Online Homogeneity Can Emerge Without Filtering Algorithms or Homophily Preferences
Ideologically homogeneous online environments - often described as "echo chambers" or "filter bubbles" - are widely seen as drivers of polarization, radicalization, and misinformation. A central debate asks whether such homophily stems primarily from algorithmic curation or users' preference for like-minded peers. This study challenges that view by showing that homogeneity can emerge in the absence of both filtering algorithms and user preferences. Using an agent-based model inspired by Schelli…

AFC West odds: Chargers emerge as favorites to end Chiefs' streak, but does Kansas City have betting value?

https://www.cbssports.com/nfl/news/afc-west-odds-charger…

Your AI Bosses Are Still Prejudiced: The Emergence of Stereotypes in LLM-Based Multi-Agent Systems
Jingyu Guo, Yingying Xu
https://arxiv.org/abs/2508.19919 https://

Your AI Bosses Are Still Prejudiced: The Emergence of Stereotypes in LLM-Based Multi-Agent Systems
While stereotypes are well-documented in human social interactions, AI systems are often presumed to be less susceptible to such biases. Previous studies have focused on biases inherited from training data, but whether stereotypes can emerge spontaneously in AI agent interactions merits further exploration. Through a novel experimental framework simulating workplace interactions with neutral initial conditions, we investigate the emergence and evolution of stereotypes in LLM-based multi-agent s…

AI Propaganda factories with language models
Lukasz Olejnik
https://arxiv.org/abs/2508.20186 https://arxiv.org/pdf/2508.20186

AI Propaganda factories with language models
AI-powered influence operations can now be executed end-to-end on commodity hardware. We show that small language models produce coherent, persona-driven political messaging and can be evaluated automatically without human raters. Two behavioural findings emerge. First, persona-over-model: persona design explains behaviour more than model identity. Second, engagement as a stressor: when replies must counter-arguments, ideological adherence strengthens and the prevalence of extreme content incre…

FedProtoKD: Dual Knowledge Distillation with Adaptive Class-wise Prototype Margin for Heterogeneous Federated Learning
Md Anwar Hossen, Fatema Siddika, Wensheng Zhang, Anuj Sharma, Ali Jannesari
https://arxiv.org/abs/2508.19009

FedProtoKD: Dual Knowledge Distillation with Adaptive Class-wise Prototype Margin for Heterogeneous Federated Learning
Heterogeneous Federated Learning (HFL) has gained attention for its ability to accommodate diverse models and heterogeneous data across clients. Prototype-based HFL methods emerge as a promising solution to address statistical heterogeneity and privacy challenges, paving the way for new advancements in HFL research. This method focuses on sharing only class-representative prototypes among heterogeneous clients. However, these prototypes are often aggregated on the server using weighted averagin…

Cowboys proposed to land $13 million, former 1st-round pick in trade deadline deal https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/10/30/cowboys-proposed-as-top-trade-destination…

Two unexpected NFL top performers emerge on Raiders defensive line https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/09/20/nfl-top-performers-sacks-pressures-jonah-lau…

VoiceBBQ: Investigating Effect of Content and Acoustics in Social Bias of Spoken Language Model
Junhyuk Choi, Ro-hoon Oh, Jihwan Seol, Bugeun Kim
https://arxiv.org/abs/2509.21108

VoiceBBQ: Investigating Effect of Content and Acoustics in Social Bias of Spoken Language Model
We introduce VoiceBBQ, a spoken extension of the BBQ (Bias Benchmark for Question Answering) - a dataset that measures social bias by presenting ambiguous or disambiguated contexts followed by questions that may elicit stereotypical responses. Due to the nature of speech, social bias in Spoken Language Models (SLMs) can emerge from two distinct sources: 1) content aspect and 2) acoustic aspect. The dataset converts every BBQ context into controlled voice conditions, enabling per-axis accuracy, …

Defect mediated quantum melting of charge ordered insulators
Abijith Krishnan, Ajesh Kumar, T. Senthil
https://arxiv.org/abs/2510.00099 https://arxiv.org/p…

Defect mediated quantum melting of charge ordered insulators
Two-dimensional (2d) electronic systems on a lattice at fractional filling $ν= p/q$ exhibit a competition between charge ordered insulators, called Wigner-Mott insulators (WMIs), at large Coulomb repulsion and Fermi-liquid metals at large electronic kinetic energy. When those two energy scales are roughly equal, insulating states that restore the lattice translation symmetry, which we call quantum charge liquids (QCLs), may emerge. When gapped, these QCLs must exhibit topological order. In thi…