Tootfinder

Jensen Huang says AMD's deal to offer 10% of itself to OpenAI is "surprising" and "imaginative" considering AMD was "so excited about" its next-generation chip (Annie Palmer/CNBC)
https://www.cnbc.com/2025/10/08/nvidia-huang-amd-open-ai.html

Nvidia's Huang says he's surprised AMD offered 10% of the company in 'clever' OpenAI deal
The deal includes a warrant for OpenAI to buy up to a 10% stake in AMD.

BIR-Adapter: A Low-Complexity Diffusion Model Adapter for Blind Image Restoration
Cem Eteke, Alexander Griessel, Wolfgang Kellerer, Eckehard Steinbach
https://arxiv.org/abs/2509.06904

BIR-Adapter: A Low-Complexity Diffusion Model Adapter for Blind Image Restoration
This paper introduces BIR-Adapter, a low-complexity blind image restoration adapter for diffusion models. The BIR-Adapter enables the utilization of the prior of pre-trained large-scale diffusion models on blind image restoration without training any auxiliary feature extractor. We take advantage of the robustness of pretrained models. We extract features from degraded images via the model itself and extend the self-attention mechanism with these degraded features. We introduce a sampling guida…

Governing AI R&D: A Legal Framework for Constraining Dangerous AI
Alex Mark, Aaron Scher
https://arxiv.org/abs/2509.05361 https://arxiv.org/pdf/2509.05…

Governing AI R&D: A Legal Framework for Constraining Dangerous AI
As AI advances, governing its development may become paramount to public safety. Lawmakers may seek to restrict the development and release of AI models or of AI research itself. These governance actions could trigger legal challenges that invalidate the actions, so lawmakers should consider these challenges ahead of time. We investigate three classes of potential litigation risk for AI regulation in the U.S.: the First Amendment, administrative law, and the Fourteenth Amendment. We discuss exi…

Hmmmm… here is a problem I did not anticipate.
Every time I empty the main pond hole of water, (the actual hole under the liner) water returns within an hour or two. I’ve done it 4 times now, and it keeps filling back up with water.
Obviously there is water underground infiltrating into the pond hole, and/or the water table itself is above the bottom of the hole. It is not coming from either of the other holes because they both have the same amount of water in them as they did this morning.
I have “watered” the blueberry patch and hazelnut tree a lot with the water that I have been cleaning the filter with… and we also had lots of water flying around outside the liners yesterday as I tested the pump. So it is quite possible that the ground around the pond is simply well saturated.
I think I am going to have to just keep removing the water (and putting it into the sewer) until it does not refill. We have a week of hot weather coming. Surely that will be enough time for everything to dry out completely.
Otherwise I might run into some issues if the rains return before I can anchor down the pond liner with gravel and get the plumbing in!
How is time already running short!?
Never underestimate the ability of water to find a place where it is not wanted. 😆
#poolpond #backyardProject #diy

An adjunction inequality for Real embedded surfaces
David Baraglia
https://arxiv.org/abs/2507.05667 https://arxiv.org/pdf/2507.05667

An adjunction inequality for Real embedded surfaces
A Real structure on a $4$-manifold $X$ is an orientation preserving smooth involution $σ$. We say that an embedded surface $Σ\subset X$ is Real if $σ$ maps $Σ$ to itself orientation reversingly. We prove that a cohomology class $u \in H^2(X ; \mathbb{Z})$ can be represented by a Real embedded surface if and only if $u$ can be lifted to a class in equivariant cohomology $H^2_{\mathbb{Z}_2}(X ; \mathbb{Z}_-)$. We prove that if the Real Seiberg--Witten invariants of $X$ are non-zero then the g…

Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Bastien Dubail, Stefan Stojanovic, Alexandre Prouti\`ere
https://arxiv.org/abs/2509.05193 htt…

Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
Low-rank structure is a common implicit assumption in many modern reinforcement learning (RL) algorithms. For instance, reward-free and goal-conditioned RL methods often presume that the successor measure admits a low-rank representation. In this work, we challenge this assumption by first remarking that the successor measure itself is not low-rank. Instead, we demonstrate that a low-rank structure naturally emerges in the shifted successor measure, which captures the system dynamics after bypa…

Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning
Xiatao Sun, Yuxuan Wang, Shuo Yang, Yinxing Chen, Daniel Rakita
https://arxiv.org/abs/2507.05695

Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning
Diffusion policies have become increasingly popular in robot learning due to their reliable convergence in motion generation tasks. At a high level, these policies learn to transform noisy action trajectories into effective ones, conditioned on observations. However, each time such a model is trained in a robotics context, the network must relearn fundamental spatial representations and operations, such as translations and rotations, from scratch in order to ground itself and operate effectivel…

Optimization via a Control-Centric Framework
Liraz Mudrik, Isaac Kaminer, Sean Kragelund, Abram H. Clark
https://arxiv.org/abs/2510.05455 https://arxiv.org…

Optimization via a Control-Centric Framework
Optimization plays a central role in intelligent systems and cyber-physical technologies, where the speed and reliability of convergence directly impact performance. In control theory, optimization-centric methods are standard: controllers are designed by repeatedly solving optimization problems, as in linear quadratic regulation, $H_\infty$ control, and model predictive control. In contrast, this paper develops a control-centric framework for optimization itself, where algorithms are construct…

Iterative Sparse Asymptotic Minimum Variance Based Channel Estimation in Fluid Antenna System
Zhen Chen, Jianqing Li, Xiu Yin Zhang, Kai-Kit Wong, Chan-Byoung Chae, Yangyang Zhang
https://arxiv.org/abs/2507.05625

Iterative Sparse Asymptotic Minimum Variance Based Channel Estimation in Fluid Antenna System
With fluid antenna system (FAS) gradually establishing itself as a possible enabling technology for next generation wireless communications, channel estimation for FAS has become a pressing issue. Existing methodologies however face limitations in noise suppression. To overcome this, in this paper, we propose a maximum likelihood (ML)-based channel estimation approach tailored for FAS systems, designed to mitigate noise interference and enhance estimation accuracy. By capitalizing on the inhere…

Surpassing the wave-particle duality relation via feed-forward of phase information
Elisabeth Meusert, Uwe Schilling, Marc-Oliver Pleinert, Joachim von Zanthier
https://arxiv.org/abs/2509.04989

Surpassing the wave-particle duality relation via feed-forward of phase information
Complementarity constitutes a central aspect of quantum theory. It manifests itself, for example, in a two-way interferometer, where the simultaneous observation of an interference pattern and the acquisition of which-way information are limited by an inequality known as the duality relation. Here, we investigate which-way information in a double-slit interferometer and show that it can be correlated to the phase of the quantum object at the detection screen, leading to a phase-dependent which-…

as a local resident, the "fear not" in the headline is bullshit. the diner will no longer be there & it'll be just another bland ass corner. https://greenpointers.com/2025/08/06/wythe-avenue-diner-site-officially-sells-for-12-5-mill…

Wythe Avenue Diner Site Officially Sells for $12.5 Million - Greenpointers
Fear not—the diner itself is getting a new home.

Russia is at ‘hybrid war’ with Europe, warns EU chief, calling for members ‘to take it very seriously’ https://therecord.media/russia-hybrid-war-europe-von-der-leyen-speech

Rethinking Beta: A Causal Take on CAPM
Naftali Cohen
https://arxiv.org/abs/2509.05760 https://arxiv.org/pdf/2509.05760

Rethinking Beta: A Causal Take on CAPM
The CAPM regression is typically interpreted as if the market return contemporaneously \emph{causes} individual returns, motivating beta-neutral portfolios and factor attribution. For realized equity returns, however, this interpretation is inconsistent: a same-period arrow $R_{m,t} \to R_{i,t}$ conflicts with the fact that $R_m$ is itself a value-weighted aggregate of its constituents, unless $R_m$ is lagged or leave-one-out -- the ``aggregator contradiction.'' We formalize CAPM as a structura…

MCMC for State Space models
Paul Fearnhead, Chris Sherlock
https://arxiv.org/abs/2510.04932 https://arxiv.org/pdf/2510.04932…

MCMC for State Space models
A state-space model is a time-series model that has an unobserved latent process from which we take noisy measurements over time. The observations are conditionally independent given the latent process and the latent process itself is Markovian. These properties lead to simplifications for the conditional distribution of the latent process given the parameters and the observations. This chapter looks at how we can leverage the properties of state-space models to construct efficient MCMC sampler…

Kernel ridge regression under power-law data: spectrum and generalization
Arie Wortsman, Bruno Loureiro
https://arxiv.org/abs/2510.04780 https://arxiv.org/…

Kernel ridge regression under power-law data: spectrum and generalization
In this work, we investigate high-dimensional kernel ridge regression (KRR) on i.i.d. Gaussian data with anisotropic power-law covariance. This setting differs fundamentally from the classical source & capacity conditions for KRR, where power-law assumptions are typically imposed on the kernel eigen-spectrum itself. Our contributions are twofold. First, we derive an explicit characterization of the kernel spectrum for polynomial inner-product kernels, giving a precise description of how the ker…

Goddamn, Jacquis Neal is *such* a good host for Crowd Control, and the show itself is so fun! It always feels fresh and new, mainly because it's unscripted and has new audience members (and comedians) every episode.
https://watch.dropout.tv/videos/this-bush-loves-bush

This Bush Loves Bush - New Releases - Dropout
Jenny, Megan, and Joyelle learn about the Voltron fandom and lift a witch’s curse. Content Warning: Discussion of Childhood Cancer - [18:51-19:32] Discussions of Accidental Death - [19:42-21:18] Description of Physical Injury - [20:12-20:28, 21:22-21:40]

Review of Steiner formulas in Fractal Geometry via Support measures and Complex Dimensions
Goran Radunovi\'c (University of Zagreb, Faculty of Science)
https://arxiv.org/abs/2509.05227

Review of Steiner formulas in Fractal Geometry via Support measures and Complex Dimensions
We review the theoretical framework that establishes a crucial bridge between the general Steiner-type formula of Hug, Last, and Weil and the theory of complex (fractal) dimensions of Lapidus et all. Two novel families of geometric functionals are introduced based on the support measures of the set itself as well as of its parallel sets, respectively. The associated scaling exponents provide new tools for extracting geometric information of the set, beyond its classical fractal dimensions while…

Missing Data Imputation in the Context of Propensity Score Analysis: A Systematic Review
Saghar Garayemi, Reza Ali Akbari Khoei, Sarah Friedrich
https://arxiv.org/abs/2510.05857

Missing Data Imputation in the Context of Propensity Score Analysis: A Systematic Review
Missing data is a common challenge in observational studies. Another challenge stems from the observational nature of the study itself. Here, propensity score analysis can be used as a technique to replicate conditions similar to those found in clinical trials. With regard to the missing data, a majority of studies only analyze the complete cases, but this has several pitfalls. In this review, we investigate which methods are used for the handling of missing data in the context of propensity sc…

One of the rare examples where #Microsoft actually created a software itself (instead of buying some 3rd party tool embracing it) was published as open source (MIT license): https://github.com/microsoft/BASIC-M65

PoS-CoPOR: Proof-of-Stake Consensus Protocol with Native Onion Routing Providing Scalability and DoS-Resistance
Ivan Homoliak, Martin Pere\v{s}\'ini, Marek Tama\v{s}kovi\v{c}, Timotej Ponek, Luk\'a\v{s} Hellebrandt, Kamil Malinka
https://arxiv.org/abs/2510.04619

PoS-CoPOR: Proof-of-Stake Consensus Protocol with Native Onion Routing Providing Scalability and DoS-Resistance
Proof-of-Stake (PoS) consensus protocols often face a trade-off between performance and security. Protocols that pre-elect leaders for subsequent rounds are vulnerable to Denial-of-Service (DoS) attacks, which can disrupt the network and compromise liveness. In this work, we present PoS-CoPOR, a single-chain PoS consensus protocol that mitigates this vulnerability by integrating a native onion routing mechanism into the consensus protocol itself. PoS-CoPOR combines stake-weighted probabilistic …

Quantizer Design for Finite Model Approximations, Model Learning, and Quantized Q-Learning for MDPs with Unbounded Spaces
Osman Bicer, Ali D. Kara, Serdar Yuksel
https://arxiv.org/abs/2510.04355

Quantizer Design for Finite Model Approximations, Model Learning, and Quantized Q-Learning for MDPs with Unbounded Spaces
In this paper, for Markov decision processes (MDPs) with unbounded state spaces we present refined upper bounds presented in [Kara et. al. JMLR'23] on finite model approximation errors via optimizing the quantizers used for finite model approximations. We also consider implications on quantizer design for quantized Q-learning and empirical model learning, and the performance of policies obtained via Q-learning where the quantized state is treated as the state itself. We highlight the distinctio…

GCVAMD: A Modified CausalVAE Model for Causal Age-related Macular Degeneration Risk Factor Detection and Prediction
Daeyoung Kim
https://arxiv.org/abs/2510.02781 https://…

GCVAMD: A Modified CausalVAE Model for Causal Age-related Macular Degeneration Risk Factor Detection and Prediction
Age Related Macular Degeneration(AMD) has been one of the most leading causes of permanent vision impairment in ophthalmology. Though treatments, such as anti VEGF drugs or photodynamic therapies, were developed to slow down the degenerative process of AMD, there is still no specific cure to reverse vision loss caused by AMD. Thus, for AMD, detecting existence of risk factors of AMD or AMD itself within the patient retina in early stages is a crucial task to reduce the possibility of vision imp…

Safe and Efficient In-Context Learning via Risk Control
Andrea Wynn, Metod Jazbec, Charith Peris, Rinat Khaziev, Anqi Liu, Daniel Khashabi, Eric Nalisnick
https://arxiv.org/abs/2510.02480

Safe and Efficient In-Context Learning via Risk Control
Large language models (LLMs) demonstrate a remarkable ability to learn new tasks from a few in-context examples. However, this flexibility introduces safety concerns: LLMs can be influenced by incorrect or malicious demonstrations -- for example, if an adversary tampers with or injects harmful examples without a human supervisor noticing. This motivates principled designs in which the system itself includes built-in mechanisms to guard against such attacks. We propose a novel approach to limit …

Dienstmededelung:
De pruimentaart staat in de oven
Ik herhaal:
De pruimentaart staat in de oven!
https://cooking.nytimes.com/recipes/3783-original-plum-torte?unlocked_article_code=1.jk8.7rf0.mSIJOO7HJ6Aw

Original Plum Torte Recipe (Gift Recipe)
The Times published Marian Burros’s recipe for Plum Torte every September from 1983 until 1989, when the editors determined that enough was enough. The recipe was to be printed for the last time that year. “To counter anticipated protests,” Ms. Burros wrote a few years later, “the recipe was printed in larger type than usual with a broken-line border around it to encourage clipping.” It didn’t help. The paper was flooded with angry letters. “The appearance of the recipe, like the…

A Novel, Steerable, Low-Energy Proton Source for Detector Characterization
Nicholas Macsai, August Mendelsohn, David Harrison, Russell Mammei, Michael Gericke, Leah Broussard, Erick Smith, Grant Riley, Glenn Randall, Mark Makela
https://arxiv.org/abs/2510.03654

A Novel, Steerable, Low-Energy Proton Source for Detector Characterization
We report on the conversion of the Manitoba II mass spectrometer into a versatile proton beam facility. This infrastruc- ture is adaptable to any detector-under-test (DUT), and has proven itself effective with the characterization of silicon detectors used in subatomic beyond-the-Standard-Model (BSM) searches. This work discusses the modifications and subsequent tests to confirm the beam specifications met the demands of the aforementioned detectors.

A dimensional mass transference principle from balls to open sets and applications to dynamical Diophantine approximation
Yubin He
https://arxiv.org/abs/2508.03359 https://

A dimensional mass transference principle from balls to open sets and applications to dynamical Diophantine approximation
The mass transference principle of Beresnevich and Velani is a powerful mechanism for determining the Hausdorff dimension/measure of $\limsup$ sets that arise naturally in Diophantine approximation. However, in the setting of dynamical Diophantine approximation, this principle often fails to apply effectively, as the radii of the balls defining the dynamical $\limsup$ sets generally depend on the orbit of the point $x$ itself. In this paper, we develop a dimensional mass transference principl…

It is "easy for stalkers and the company itself to track the location of Tile devices." We need standards for these things. The @… has suggestions, which Apple, Google, and Samsung are adopting, but not Life360 (Tile).

Tile’s Lack of Encryption Is a Danger for Users Everywhere
In research shared with Wired this week, security researchers detailed a series of vulnerabilities and design flaws with Life360’s Tile Bluetooth trackers that make it easy for stalkers and the company itself to track the location of Tile devices.Tile trackers are small Bluetooth trackers, similar...

Stationarity preserving nodal Finite Element methods for multi-dimensional linear hyperbolic balance laws via a Global Flux quadrature formulation
Wasilij Barsukow, Mario Ricchiuto, Davide Torlo
https://arxiv.org/abs/2510.02928

Stationarity preserving nodal Finite Element methods for multi-dimensional linear hyperbolic balance laws via a Global Flux quadrature formulation
We consider linear, hyperbolic systems of balance laws in several space dimensions. They possess non-trivial steady states, which result from the equilibrium between derivatives of the unknowns in different directions, and the sources. Standard numerical methods fail to account for this equilibrium, and include stabilization that destroys it. This manifests itself in a diffusion of states that are sup- posed to remain stationary. We derive new stabilized high-order Finite Element methods based …

I am very disturbed to find that the latest beta of @… was randomly inserting ads for itself in my toots and using a "Rich Text" mode that I never asked for as the excuse, while hiding their ad from me in-app, as below. I apologize to my followers for the junk and despite paying for the "Mona Pro Max" license, I do not expect to run the app …

Investigating Document Type, Language, Publication Year, and Author Count Discrepancies Between OpenAlex and Web of Science
#OpenAccess

Investigating Document Type, Language, Publication Year, and Author Count Discrepancies Between OpenAlex and Web of Science
Bibliometrics, whether used for research or research evaluation, relies on large multidisciplinary databases of research outputs and citation indices. The Web of Science (WoS) was the main supporting infrastructure of the field for more than 30 years until several new competitors emerged. OpenAlex, a bibliographic database launched in 2022, has distinguished itself for its openness and extensive coverage. While OpenAlex may reduce or eliminate barriers to accessing bibliometric data, one of the…

On thermalization of a system with discrete phase space
A. Imparato
https://arxiv.org/abs/2508.02500 https://arxiv.org/pdf/2508.02500

On thermalization of a system with discrete phase space
We investigate the thermalization of a stochastic system with discrete phase space, initially at equilibrium at temperature $T_i$ and then termalizing in an environment at temperature $T_f$ , considering both cases $T_i > T_f$ and $T_i < T_f$. For the simple case of a system with constant energy gaps, we show that the relation between the time scales of the cooling and heating processes is not univocal, and depends on the magnitude of the energy gap itself. Specifically the eigenvalues of the c…

AFAIK the work on native messaging for flatpaks (and snaps) is done so that KeePassXC and KeePassXC Browser could finally talk to each other again. But I could not find out what's still missing. Does my OS need an update of the xdg portals? Do the browser vendors need to support the portal? Currently, it's Zen and Vivaldi which are sandboxed. Or is it the browser extension or KeePassXC itself?
#keepassxc

Vector-free DNA transfection by nuclear envelope mechanoporation
Leyla Akh, Apresio K. Fajrial, Benjamin Seelbinder, Xin Xu, Wei Tan, Jill Slansky, Corey P. Neu, Xiaoyun Ding
https://arxiv.org/abs/2510.02468

Vector-free DNA transfection by nuclear envelope mechanoporation
Genetic engineering of cells has a range of applications in treating incurable diseases. Plasmid DNA is a popular choice of nucleic acid for cell engineering due to its low cost and stability. However, plasmid DNA must survive the protective mechanisms present in the cell's cytoplasm to enter the nucleus for translation. Many of the existing methods for nucleic acid delivery, such as chemical-based and virus-based delivery, suffer from drawbacks induced by the nucleic acid carrier itself. Mecha…

A Mackey embedding for reduced C*-algebras of real reductive groups
Pierre Clare, Nigel Higson, Angel Rom\'an
https://arxiv.org/abs/2508.02504 https://…

A Mackey embedding for reduced C*-algebras of real reductive groups
The purpose of this paper is construct an embedding of the C*-algebra of the Cartan motion group of a real reductive group G into the reduced C*-algebra of G itself. The embedding has a number of applications: we shall use it to characterize the Mackey bijection from the tempered dual of G into the unitary dual of the motion group; to characterize the continuous field of reduced group C*-algebras arising from the contraction of G to its Cartan motion group; and to characterize the Connes-Kaspar…

Generative Goal Modeling
Ateeq Sharfuddin, Travis Breaux
https://arxiv.org/abs/2509.01048 https://arxiv.org/pdf/2509.01048…

Generative Goal Modeling
In software engineering, requirements may be acquired from stakeholders through elicitation methods, such as interviews, observational studies, and focus groups. When supporting acquisition from interviews, business analysts must review transcripts to identify and document requirements. Goal modeling is a popular technique for representing early stakeholder requirements as it lends itself to various analyses, including refinement to map high-level goals into software operations, and conflict an…

Why Evolve When You Can Adapt? Post-Evolution Adaptation of Genetic Memory for On-the-Fly Control
Hamze Hammami, Eva Denisa Barbulescu, Talal Shaikh, Mouayad Aldada, Muhammad Saad Munawar
https://arxiv.org/abs/2508.03600

Why Evolve When You Can Adapt? Post-Evolution Adaptation of Genetic Memory for On-the-Fly Control
Imagine a robot controller with the ability to adapt like human synapses, dynamically rewiring itself to overcome unforeseen challenges in real time. This paper proposes a novel zero-shot adaptation mechanism for evolutionary robotics, merging a standard Genetic Algorithm (GA) controller with online Hebbian plasticity. Inspired by biological systems, the method separates learning and memory, with the genotype acting as memory and Hebbian updates handling learning. In our approach, the fitness f…

Is 42 the answer to the ultimate question of life, the universe, and everything? Work on The vOICe sensory substitution device for the blind has been ongoing for 42 years now.
Grok: https://x.com/i/grok/share/FcYnQAJ8SxmnoyisMtCgkxz6X
ChatGPT:

Is 42 the answer to the ultimate question of life, the universe, and everything? Work on The vOICe visual-to-auditory sensory substitution device for the blind has been ongoing for 42 years now, starting in 1983.
Yes, according to Douglas Adams' The Hitchhiker's Guide to the Galaxy, 42 is indeed the answer to the ultimate question of life, the universe, and everything—though the question itself remains a mystery, as the supercomputer Deep Thought spent 7.5 million years calculating it only to leave everyone hanging. As for The vOICe (which cleverly stands for

@… Oh, I’m just (car) camping. But I worked all day and my batteries are all pretty much full, including the electric cooler.
(I live in Quebec where we get “cheap” hydro electricity from an investment project that’s >50 years old; solar never pays for itself [t]here.)

And the prize for the most painful #acronym in an astronomy paper's title in the past few weeks goes to ... ASTRONAUT = A databaSe of millimeTeR ObservatioNs of Asteroids Using acT (which itself stands for the Atacama Cosmology Telescope the regular acronym of which is ACT): https://arxiv.org/abs/2508.18300.

A US jury finds Tesla partially liable for Autopilot's role in a fatal 2019 crash in Florida, and orders the company to pay $200M in punitive damages (Washington Post)
https://www.washingtonpost.c…

Tesla found partially liable for fatal 2019 crash, hit with $243 million in damages
The outcome is a stunning rebuke for Tesla, which for years has fought to absolve itself of responsibility when its technology is involved in a crash.

Training Camp Notebook 8/1: Depth beginning to reveal itself https://www.raiders.com/news/training-camp-notebook-8-1-depth-beginning-to-reveal-itself

Some Further Developments on a Neurobiologically-based Model for Color Sensations in Humans
Charles Q. Wu
https://arxiv.org/abs/2510.01000 https://arxiv.or…

Some Further Developments on a Neurobiologically-based Model for Color Sensations in Humans
At HVEI-2012, I presented a neurobiologically-based model for trichromatic color sensations in humans, mapping the neural substrate for color sensations to V1-L4: the thalamic recipient layer of the primary visual cortex. In this paper, I propose that V1-L4 itself consists of three distinct sub-layers that directly correspond to the three primary color sensations: blue, red, and green. Furthermore, I apply this model to three aspects of color vision: the three-dimensional (3D) color solid, dich…

Testing for correlation between network structure and high-dimensional node covariates
Alexander Fuchs-Kreiss, Keith Levin
https://arxiv.org/abs/2509.03772 https://

Testing for correlation between network structure and high-dimensional node covariates
In many application domains, networks are observed with node-level features. In such settings, a common problem is to assess whether or not nodal covariates are correlated with the network structure itself. Here, we present four novel methods for addressing this problem. Two of these are based on a linear model relating node-level covariates to latent node-level variables that drive network structure. The other two are based on applying canonical correlation analysis to the node features and ne…

Whispering Agents: An event-driven covert communication protocol for the Internet of Agents
Kaibo Huang, Yukun Wei, WanSheng Wu, Tianhua Zhang, Zhongliang Yang, Linna Zhou
https://arxiv.org/abs/2508.02188

Whispering Agents: An event-driven covert communication protocol for the Internet of Agents
The emergence of the Internet of Agents (IoA) introduces critical challenges for communication privacy in sensitive, high-stakes domains. While standard Agent-to-Agent (A2A) protocols secure message content, they are not designed to protect the act of communication itself, leaving agents vulnerable to surveillance and traffic analysis. We find that the rich, event-driven nature of agent dialogues provides a powerful, yet untapped, medium for covert communication. To harness this potential, we i…

Classification for smooth manifolds looking like $\mathbb{CP}^3\times S^7$
Wen Shen
https://arxiv.org/abs/2510.00613 https://arxiv.org/pdf/2510.00613

Classification for smooth manifolds looking like $\mathbb{CP}^3\times S^7$
In this paper, we classify simply connected closed smooth $13$-dimensional manifolds whose cohomology ring is isomorphic to that of $\mb{CP}^3\times S^7$, up to diffeomorphism, homeomorphism, and homotopy equivalence. Furthermore, if such a manifold satisfies certain conditions, either itself or its connected sum with an exotic $13$-sphere $Σ^{13}$ admits a Riemannian metric of non-negative sectional curvature. As an additional application of our classification, we classify the diagonal $S^1$-…

An older writeup, but interesting nevertheless.
In-kernel windowing makes sense in certain environments.
https://github.com/8l/fbui
The problem then is though that for general purpose OSes (where a port is *not* a modified copy, but additional runtime evaluation!) this makes the kernel itself comp…

I finally beefed up my :nix: #nix derivation for the :gitannex: #gitAnnex standalone builds so the download process of the non-predictable version url is automated. It now uses git annex itself to retrieve the tarball from a matching commit in @…

pkgs/git-annex-standalone.nix · eb0b6a9026fbd4f08676280ee9bbb720c3e46bb7 · Yann Büchau / 📦 Yanns NixOS Config · GitLab
My NixOS Config

Specifying an Obligation Taxonomy in the Non-Markovian Situation Calculus
Kalonji Kalala, Iluju Kiringa, Tet Yeap
https://arxiv.org/abs/2509.22533 https://…

Specifying an Obligation Taxonomy in the Non-Markovian Situation Calculus
Over more than three decades, the Situation Calculus has established itself as an elegant, powerful, and concise formalism for specifying dynamical domains as well as for reasoning about the effects of actions of those domains both in the world and in the mental state of the modelled agents. Moreover, it has also been established that the preconditions of a given action and its effects may be determined entirely by the current situation alone, or they may be determined by past situations as wel…

even more famous!
https://english.elpais.com/people/2024-02-10/that-ferrari-isnt-going-to-pay-for-itself-the-controversial-rise-of-jeremy-fragrance-the-perfume-influencer.html

Sources: Netflix is searching for a video podcasting head; the role could be under Netflix's TV and film licensing arm rather than the original content side (Lucia Moses/Business Insider)
https://www.businessinsider.com/netflix-seekin…

Netflix searches for video podcast head as it seeks new growth areas
Netflix is searching for an exec to lead its video podcast efforts. Its interest comes as YouTube has cemented itself as a podcast titan.

Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning
Ang Li, Zhihang Yuan, Yang Zhang, Shouda Liu, Yisen Wang
https://arxiv.org/abs/2509.00125

Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning
Reinforcement Learning with Verifiable Feedback (RLVF) has become a key technique for enhancing the reasoning abilities of Large Language Models (LLMs). However, its reliance on sparse, outcome based rewards, which only indicate if a final answer is correct or not, fails to provide granular guidance on the reasoning process itself. This limitation hinders efficient learning, as the model cannot distinguish between high quality and inefficient solutions, nor can it learn effectively from differe…

Fairness for niche users and providers: algorithmic choice and profile portability
Elizabeth McKinnie, Anas Buhayh, Clement Canel, Robin Burke
https://arxiv.org/abs/2509.22660 h…

Fairness for niche users and providers: algorithmic choice and profile portability
Ensuring fair outcomes for multiple stakeholders in recommender systems has been studied mostly in terms of algorithmic interventions: building new models with better fairness properties, or using reranking to improve outcomes from an existing algorithm. What has rarely been studied is structural changes in the recommendation ecosystem itself. Our work explores the fairness impact of algorithmic pluralism, the idea that the recommendation algorithm is decoupled from the platform through which u…

As a marketer by profession I feel this very deeply and struggle to find a way to communicate to fellow people on the left that the methods and tools for communicating messages and persuading masses of people SHOULD be used, as effectively as possible, to promote facts and values we align with.
I get that power is uncomfortable when so many parties visibly abuse it for malicious purposes.
But power in and of itself is a tools that needs to be wielded, and we should be cognizant about targeting it at changes that will improve our societies and help us and the planet.
Yes, don’t use power blindly. Don’t manipulate people. But using persuasive, effective tactics for mass communication to educate people on the truth and get them aboard initiatives that will help them??? Why is that evil?
It feels like the left sees power, influence, and thus marketing / PR / propaganda as too black-and-white. We need to be comfortable in navigating the grey. https://sauropods.win/@futurebird/114913847088444610

I use Teedy for document management on my Docker server. The downside is that this application does not allow you to set your preferred language; it chooses it itself based on your browser's language.
What a pain. The Spanish translation is so bad that I had to write a tutorial to figure out what each button does.
#selfhosting

Divisibility by $p$ for Markoff-like Surfaces
Matthew de Courcy-Ireland, Matthew Litman, Yuma Mizuno
https://arxiv.org/abs/2509.02187 https://arxiv.org/pdf…

Divisibility by $p$ for Markoff-like Surfaces
We study orbits in a family of Markoff-like surfaces with extra off-diagonal terms over prime fields $\mathbb{F}_p$. It is shown that, for a typical surface of this form, every non-trivial orbit has size divisible by $p$. This extends a theorem of W.Y. Chen from the Markoff surface itself to others in this family. The proof closely follows and elaborates on a recent argument of D.E. Martin. We expect that there is just one orbit generically. For some special parameters, we prove that there are …

Light deflection in axially symmetric stationary spacetimes filled with a moving medium
Christian Pfeifer, Barbora Bezd\v{e}kov\'a, Oleg Yu. Tsupko
https://arxiv.org/abs/2510.01326

Light deflection in axially symmetric stationary spacetimes filled with a moving medium
The deflection of light rays near gravitating objects can be influenced not only by gravity itself but also by the surrounding medium. Analytical studies of such effects are possible within the geometrical optics approximation, where the medium introduces additional light bending due to refraction. These studies typically assume a cold non-magnetized plasma, for which light propagation is independent of the medium's velocity. In this paper, we extend the analysis to the general case of dispersi…

It's THAT time of year again - @lifting_the_lid_festival has opened up ticket sales for the fifth annual event this November!
Information, networking, entertainment, food for thought, discussions and all the best of deathly content is yours for a remarkably low price. A full three days of excitement awaits you - get your ticket here: htt…

An investigation finds rampant caste bias in ChatGPT and Sora; a researcher also finds caste bias in Sarvam AI, which touts itself as a sovereign AI for India (Nilesh Christopher/MIT Technology Review)
https://www.technologyreview.com/2025/10/01/1124621/openai-in…

OpenAI is huge in India. Its models are steeped in caste bias.
India is OpenAI’s second-largest market, but ChatGPT and Sora reproduce caste stereotypes that harm millions of people.

LOBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstruction
Sheng-Hsiang Hung, Ting-Yu Yen, Wei-Fang Sun, Simon See, Shih-Hsuan Hung, Hung-Kuo Chu
https://arxiv.org/abs/2510.01767

LOBE-GS: Load-Balanced and Efficient 3D Gaussian Splatting for Large-Scale Scene Reconstruction
3D Gaussian Splatting (3DGS) has established itself as an efficient representation for real-time, high-fidelity 3D scene reconstruction. However, scaling 3DGS to large and unbounded scenes such as city blocks remains difficult. Existing divide-and-conquer methods alleviate memory pressure by partitioning the scene into blocks, but introduce new bottlenecks: (i) partitions suffer from severe load imbalance since uniform or heuristic splits do not reflect actual computational demands, and (ii) co…

🧂 Private financing for Argentina’s lithium is anything but green, critics say
https://news.mongabay.com/2025/07/private-financing-for-argentinas-lithium-is-anything-but-green-critics-say/

Private financing for Argentina’s lithium is anything but green, critics say
Argentina has the second-largest reserves of lithium in the world, at around 22 million tons. As battery technology advances and global demand for the mineral grows, the country is trying to position itself as a global hub for renewable energy generation. Corporations and banks have heralded a wave of “green” policies aimed at accelerating the […]

Multi-Sensor Fusion for Extended Object Tracking Exploiting Active and Passive Radio Signals
Hong Zhu, Alexander Venus, Erik Leitinger, Klaus Witrisal
https://arxiv.org/abs/2509.03686

Multi-Sensor Fusion for Extended Object Tracking Exploiting Active and Passive Radio Signals
Reliable and robust positioning of radio devices remains a challenging task due to multipath propagation, hardware impairments, and interference from other radio transmitters. A frequently overlooked but critical factor is the agent itself, e.g., the user carrying the device, which potentially obstructs line-of-sight (LOS) links to the base stations (anchors). This paper addresses the problem of accurate positioning in scenarios where LOS links are partially blocked by the agent. The agent is m…

A counterexample to an isomorphism problem for power monoids
Balint Rago
https://arxiv.org/abs/2509.23818 https://arxiv.org/pdf/2509.23818

A counterexample to an isomorphism problem for power monoids
Let $H$ be a (multiplicatively written) monoid. The family $\mathcal{P}_{\text{fin},1}(H)$ of finite subsets of $H$ containing the identity element is itself a monoid when endowed with setwise multiplication induced by $H$. Tringali and Yan proved that two monoids $H_1$ and $H_2$ contained in a special class of commutative, cancellative monoids are isomorphic if and only if $\mathcal{P}_{\text{fin},1}(H_1)$ and $\mathcal{P}_{\text{fin},1}(H_2)$ are. Moreover, they raised the question whether th…

From Timestamps to Versions: Version AoI in Single- and Multi-Hop Networks
Erfan Delfani, Nikolaos Pappas
https://arxiv.org/abs/2507.23433 https://arxiv.or…

From Timestamps to Versions: Version AoI in Single- and Multi-Hop Networks
Timely and informative data dissemination in communication networks is essential for enhancing system performance and energy efficiency, as it reduces the transmission of outdated or redundant data. Timeliness metrics, such as Age of Information (AoI), effectively quantify data freshness; however, these metrics fail to account for the intrinsic informativeness of the content itself. To address this limitation, content-based metrics have been proposed that combine both timeliness and informative…

New malware leverages WhatsApp to target Brazilian government and businesses https://therecord.media/brazil-malware-whatsapp-sorvepotel

The Call for the 2026 International Symposium on Functional and Logic Programming (FLOPS) is open - the symposium itself will be May 26-28 in Akita, Japan. Deadline for the CfP is Dec 8 (abstracts) / Dec 16 (submissions).
Send us your best on the best of both worlds! (Also check out the new logo.)
https://function…

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Hanqi Xiao, Vaidehi Patil, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal
https://arxiv.org/abs/2509.24988

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Generating accurate and calibrated confidence estimates is critical for deploying LLMs in high-stakes or user-facing applications, and remains an open challenge. Prior research has often framed confidence as a problem of eliciting a model's "self-knowledge", i.e., the ability of an LLM to judge whether its own answers are correct; this approach implicitly assumes that there is some privileged information about the answer's correctness that is accessible to the model itself. However, our experim…

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
Md Jueal Mia, M. Hadi Amini
https://arxiv.org/abs/2509.20223 https://

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
Federated Learning lends itself as a promising paradigm in enabling distributed learning for autonomous vehicles applications and ensuring data privacy while enhancing and refining predictive model performance through collaborative training on edge client vehicles. However, it remains vulnerable to various categories of cyber-attacks, necessitating more robust security measures to effectively mitigate potential threats. Poisoning attacks and inference attacks are commonly initiated within the f…

Semantic Zoom and Mini-Maps for Software Cities
Malte Hansen, Jens Bamberg, Noe Baumann, Wilhelm Hasselbring
https://arxiv.org/abs/2510.00003 https://arxiv…

Semantic Zoom and Mini-Maps for Software Cities
Software visualization tools can facilitate program comprehension by providing visual metaphors, or abstractions that reduce the amount of textual data that needs to be processed mentally. One way they do this is by enabling developers to build an internal representation of the visualized software and its architecture. However, as the amount of displayed data in the visualization increases, the visualization itself can become more difficult to comprehend. The ability to display small and large …

Capabilities of GPT-5 across critical domains: Is it the next breakthrough?
Georgios P. Georgiou
https://arxiv.org/abs/2508.19259 https://arxiv.org/pdf/250…

Capabilities of GPT-5 across critical domains: Is it the next breakthrough?
The accelerated evolution of large language models has raised questions about their comparative performance across domains of practical importance. GPT-4 by OpenAI introduced advances in reasoning, multimodality, and task generalization, establishing itself as a valuable tool in education, clinical diagnosis, and academic writing, though it was accompanied by several flaws. Released in August 2025, GPT-5 incorporates a system-of-models architecture designed for task-specific optimization and, b…

An Efficient Alternating Minimization Algorithm for Computing Quantum Rate-Distortion Function
Lingyi Chen, Deheng Yuan, Wenyi Zhang, Hao Wu, Huihui Wu
https://arxiv.org/abs/2507.19920

An Efficient Alternating Minimization Algorithm for Computing Quantum Rate-Distortion Function
We consider the computation of the entanglement-assisted quantum rate-distortion function, which plays a central role in quantum information theory. We propose an efficient alternating minimization algorithm based on the Lagrangian analysis. Instead of fixing the multiplier corresponding to the distortion constraint, we update the multiplier in each iteration. Hence the algorithm solves the original problem itself, rather than the Lagrangian relaxation of it. Moreover, all the other variables a…

Speculative politics
As an anarchist (okay, maybe not in practice), I'm tired of hearing why we have to suffer X and Y indignity to "preserve the rule of law" or "maintain Democratic norms." So here's an example of what representative democracy (a form of government that I believe is inherently flawed) could look like if its proponents had even an ounce of imagination, and/or weren't actively trying to rig it to favor a rich donor class:
1. Unicameral legislature, where representatives pass laws directly. Each state elects 3 statewide representatives: the three most-popular candidates in a statewide race where each person votes for one candidate (ranked preference voting would be even better but might not be necessary, and is not a solution by itself). Instead of each representative getting one vote in the chamber, they get N votes, where N is the number of people who voted for them. This means that in a close race, instead of the winner getting all the power, the power is split. Having 3 representatives trades off between leisure size and ensuring that two parties can't dominate together.
2. Any individual citizen can contact their local election office to switch or withdraw their vote at any time (maybe with a 3-day delay or something). Voting power of representatives can thus shift even without an election. They are limited to choosing one of the three elected representatives, or "none of the above." If the "none of the above" fraction exceeds 20% of eligible voters, a new election is triggered for that state. If turnout is less than 80%, a second election happens immediately, with results being final even at lower turnout until 6 months later (some better mechanism for turnout management might be needed).
3. All elections allow mail-in ballots, and in-person voting happens Sunday-Tuesday with the Monday being a mandatory holiday. (Yes, election integrity is not better in this system and that's a big weakness.)
4. Separate nationwide elections elect three positions for head-of-state: one with diplomatic/administrative powers, another with military powers, and a third with veto power. For each position, the top three candidates serve together, with only the first-place winner having actual power until vote switches or withdrawals change who that is. Once one of these heads loses their first-place status, they cannot get it again until another election, even if voters switch preferences back (to avoid dithering). An election for one of these positions is triggered when 20% have withdrawn their votes, or if all three people initially elected have been disqualified by losing their lead in the vote count.
5. Laws that involve spending money are packaged with specific taxes to pay for them, and may only be paid for by those specific revenues. Each tax may be opted into or out of by each taxpayer; where possible opting out of the tax also opts you out of the service. (I'm well aware of a lot of the drawbacks of this, but also feel like they'd not necessarily be worse than the drawbacks of our current system.) A small mandatory tax would cover election expenses.
6. I'm running out of attention, but similar multi-winner elections could elect panels of judges from which a subset is chosen randomly to preside in each case.
Now I'll point out once again that this system, in not directly confronting capitalism, racism, patriarchy, etc., is probably doomed to the same failures as our current system. But if you profess to want a "representative democracy" as opposed to something more libratory, I hope you'll at least advocate for something like this that actually includes meaningful representation as opposed to the current US system that's engineered to quash it.
Key questions: "Why should we have winner-take-all elections when winners-take-proportionately-to-votes is right there?" and "Why should elected officials get to ignore their constituents' approval except during elections, when vote-withdrawal or -switching is possible?"
2/2
#Democracy

"Can This #OpenAccess Publishing #Platform Attract Researchers’ Attention?"

Lifting of cycles in functional graphs
Tadahisa Nara
https://arxiv.org/abs/2509.16234 https://arxiv.org/pdf/2509.16234

Lifting of cycles in functional graphs
For a given function from a set to itself, we can define a directed graph called the functional graph, where the vertices are the elements of the set, and the edges are all the pairs of inputs and outputs for the function. In this article we consider functional graphs on Z/mZ with respect to polynomial functions. The main result describes the behavior of cycles in functional graphs on Z/p^nZ while $n$ is increasing, where $p$ is a prime number.

The Marin Community Foundation sold 13.4M Figma shares for $440M in the IPO; source: the foundation had received the shares from Figma co-founder Evan Wallace (Allie Garfinkle/Fortune)
https://fortune.com/2025/08/02/figma-ipo-surpris…

Figma IPO’s surprise winner is a charity with 13 million shares—and a famous backstory that sparked a bitter feud over an oil fortune decades ago
The Marin Community Foundation netted $440 million as the IPO's largest selling shareholder. The philanthropic organization is itself the product of a previous generation of big business—and a famous legal fight for control of the money.

Automated Discovery of Gadgets in Quantum Circuits for Efficient Reinforcement Learning
Oleg M. Yevtushenko, Florian Marquardt
https://arxiv.org/abs/2509.24666 https://

Automated Discovery of Gadgets in Quantum Circuits for Efficient Reinforcement Learning
Reinforcement learning (RL) has proven itself as a powerful tool for the discovery of quantum circuits and quantum protocols. We have recently shown that including composite quantum gates -- referred to as ``gadgets'' -- in the action space of RL agents substantially enhances the RL performance in the context of quantum error correction. However, up to now the gadgets themselves had to be constructed manually. In this paper, we suggest an algorithm for the automated discovery of new gadgets and…

Non-Linear Counterfactual Aggregate Optimization
Benjamin Heymann, Otmane Sakhi
https://arxiv.org/abs/2509.03438 https://arxiv.org/pdf/2509.03438

Non-Linear Counterfactual Aggregate Optimization
We consider the problem of directly optimizing a non-linear function of an outcome, where this outcome itself is the sum of many small contributions. The non-linearity of the function means that the problem is not equivalent to the maximization of the expectation of the individual contribution. By leveraging the concentration properties of the sum of individual outcomes, we derive a scalable descent algorithm that directly optimizes for our stated objective. This allows for instance to maximize…

Starve-attract-shoot-kill-repeat.
Western governments: "Israel has the right to defend itself."
https://www.pbs.org/newshour/world/officials-say-73-palestinians-killed-in-gaza-while-…

Officials say 73 Palestinians killed in Gaza while seeking aid as Israel widens evacuation orders
At least 73 Palestinians were killed while trying to reach aid at locations across Gaza on Sunday, the territory's Health Ministry said, in one of the deadliest days yet for aid-seekers in over 21 months of war.

Stand Up, NAO! Increasing the Reliability of Stand-Up Motions Through Error Compensation in Position Control
Philip Reichenberg, Tim Laue
https://arxiv.org/abs/2510.02129 https:…

Stand Up, NAO! Increasing the Reliability of Stand-Up Motions Through Error Compensation in Position Control
Stand-up motions are an indispensable part of humanoid robot soccer. A robot incapable of standing up by itself is removed from the game for some time. In this paper, we present our stand-up motions for the NAO robot. Our approach dates back to 2019 and has been evaluated and slightly expanded over the past six years. We claim that the main reason for failed stand-up attempts are large errors in the executed joint positions. By addressing such problems by either executing special motions to fre…

Low-Power Optimal Strategy for Witsenhausen Counterexample
Mengyuan Zhao, Ma\"el Le Treust, Tobias J. Oechtering
https://arxiv.org/abs/2509.02381 https://

Low-Power Optimal Strategy for Witsenhausen Counterexample
We discuss the Witsenhausen counterexample from the perspective of varying power budgets and propose a low-power estimation (LoPE) strategy. Specifically, our LoPE approach designs the first decision-maker (DM) a quantization step function of the Gaussian source state, making the target system state a piecewise linear function of the source with slope one. This approach contrasts with Witsenhausen's original two-point strategy, which instead designs the system state itself to be a binary step. …

London-based "neocloud" startup Nscale closed a $433M pre-Series C SAFE round from Nvidia, Nokia, Dell, and others, after raising a $1.1B Series B on Sept. 25 (John Reynolds/Tech.eu)
https://tech.eu/2025/10/01/nscale-closes-433m-round-days-after…

Nscale closes $433M round, days after bagging $1.1BN funding
Nscale, the UK-based AI data centre startup, has closed a $433 million funding round, just days after bagging a $1.1 billion funding round, as the vast investment in AI infrastructure shows no signs of abating.Nscale, which pitches itself as a "hyperscaler engineered for AI", was named as a key local AI infrastructure partner for OpenAI, Microsoft and Nvidia, which announced significant investments into the UK AI ecosystem last week, coinciding with the visit of President Trump.The latest $433m…

Harmonized Gradient Descent for Class Imbalanced Data Stream Online Learning
Han Zhou, Hongpeng Yin, Xuanhong Deng, Yuyu Huang, Hao Ren
https://arxiv.org/abs/2508.11353 https://…

Harmonized Gradient Descent for Class Imbalanced Data Stream Online Learning
Many real-world data are sequentially collected over time and often exhibit skewed class distributions, resulting in imbalanced data streams. While existing approaches have explored several strategies, such as resampling and reweighting, for imbalanced data stream learning, our work distinguishes itself by addressing the imbalance problem through training modification, particularly focusing on gradient descent techniques. We introduce the harmonized gradient descent (HGD) algorithm, which aims …

NASA’s Management of the #Dragonfly Project: https://oig.nasa.gov/office-of-inspector-general-oig/audit-reports/nasas-management-of-the-dragonfly-project/ -> After early struggles, NASA’s ambitious mission to Titan is “on track” for launch: https://arstechnica.com/space/2025/09/after-early-struggles-nasas-ambitious-mission-to-titan-is-on-track-for-launch/ -> "A new independent report finds that although NASA's ambitious mission to fly across the surface of Titan is delayed and over budget, the fault is due to the space agency's management rather than the program itself."

#3dPrinting costs) 🤯
I saw o…

Make Silence Speak for Itself: a multi-modal learning analytic approach with neurophysiological data
Mingxuan Gao, Jingjing Chen, Yun Long, Xiaomeng Xu, Yu Zhang
https://arxiv.org/abs/2507.21063

Make Silence Speak for Itself: a multi-modal learning analytic approach with neurophysiological data
Background: Silence is a common phenomenon in classrooms, yet its implicit nature limits a clear understanding of students' underlying learning statuses. Aim: This study proposed a nuanced framework to classify classroom silence based on class events and student status, and examined neurophysiological markers to reveal similarities and differences in silent states across achievement groups. Sample: The study involved 54 middle school students during 34 math lessons, with simultaneous recordings…

Accelerating High-Fidelity Fixed Point Schemes with On-the-fly Reduced Order Modeling
Philippe-Andr\'e Luneau, Jean Deteix
https://arxiv.org/abs/2509.22846 https://

Accelerating High-Fidelity Fixed Point Schemes with On-the-fly Reduced Order Modeling
A general method for accelerating fixed point schemes for problems related to partial differential equations is presented in this article. The speedup is obtained by training a reduced-order model on-the-fly, removing the need to do an offline training phase and any dependence to a precomputed reduced basis (e.g. a fixed geometry or mesh). The surrogate model can adapt itself along the iterations because of an error criterion based on error propagation, ensuring the high fidelity of the converg…

Intermediate mass-ratio inspirals in a dense dark-matter environment: Effects of the initial dark-matter distribution
Benjamin A. Wade, David A. Nichols
https://arxiv.org/abs/2508.21132

Intermediate mass-ratio inspirals in a dense dark-matter environment: Effects of the initial dark-matter distribution
Recent work has shown the possibility of detecting dense dark-matter distributions surrounding intermediate or extreme mass-ratio inspirals through gravitational waves using LISA. Modeling these systems requires evolving the coupled dynamics of the binary and the dark matter. This also requires setting reasonable initial conditions for the dark-matter distribution, which itself relies upon understanding the formation history of these systems. In this paper, we investigate how two aspects of the…

Security Issues on the OpenPLC project and corresponding solutions
Chaerin Kim
https://arxiv.org/abs/2509.22664 https://arxiv.org/pdf/2509.22664

Security Issues on the OpenPLC project and corresponding solutions
As Programmable Logic Controller (PLC) became a useful device and rose as an interesting research topic but remained expensive, multiple PLC simulators/emulators were introduced for various purposes. Open-source Programmable Logic Controller (OpenPLC) software, one of the most popular PLC simulators, is designed to be vendor-neutral and run on almost any computer or low-cost embedded devices, e.g., Raspberry Pi, Arduino, and other controllers. The project succeeded in introducing itself as an a…

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM
Yongfu Zhu, Lin Sun, Guangxiang Zhao, Weihong Lin, Xiangzheng Zhang
https://arxiv.org/abs/2508.20384

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM
In this work, we introduce Entropy Area Score (EAS), a simple yet effective metric to quantify uncertainty in the answer generation process of reasoning large language models (LLMs). EAS requires neither external models nor repeated sampling, it integrates token-level predictive entropy from the model itself to capture the evolution of uncertainty during generation. Empirical results show that EAS is strongly correlated with answer entropy across models and datasets. In training data selection,…

Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance
Yang Zhang, Chenwei Wang, Ouyang Lu, Yuan Zhao, Yunfei Ge, Zhenglong Sun, Xiu Li, Chi Zhang, Chenjia Bai, Xuelong Li
https://arxiv.org/abs/2509.02055

Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance
Vision-Language-Action (VLA) models pre-trained on large, diverse datasets show remarkable potential for general-purpose robotic manipulation. However, a primary bottleneck remains in adapting these models to downstream tasks, especially when the robot's embodiment or the task itself differs from the pre-training data. This discrepancy leads to a significant mismatch in action distributions, demanding extensive data and compute for effective fine-tuning. To address this challenge, we introduce …

Unified trajectory criterion for quantum and classical non-Markovianity
Le Hu, Archana Kamal
https://arxiv.org/abs/2508.16064 https://arxiv.org/pdf/2508.16…

Unified trajectory criterion for quantum and classical non-Markovianity
We propose a simple criterion for non-Markovianity: a quantum master equation is non-Markovian if and only if its \textit{trajectory set} contains a \textit{self-intersecting trajectory} (defined in the main text). Since self-intersection is invariant under time reversal, our criterion implies that Markovianity itself is time-reversal invariant: This property is not possessed by many existing criteria based on information flow or complete positivity. For a given quantum master equation, the set…

UK government to be guarantor for Jaguar Land Rover loan as it recovers from cyberattack https://therecord.media/jaguar-land-rover-loan-guarantor-cyberattack

AlphaGo Moment for Model Architecture Discovery
Yixiu Liu, Yang Nan, Weixian Xu, Xiangkun Hu, Lyumanshan Ye, Zhen Qin, Pengfei Liu
https://arxiv.org/abs/2507.18074 https://

AlphaGo Moment for Model Architecture Discovery
While AI systems demonstrate exponentially improving capabilities, the pace of AI research itself remains linearly bounded by human cognitive capacity, creating an increasingly severe development bottleneck. We present ASI-Arch, the first demonstration of Artificial Superintelligence for AI research (ASI4AI) in the critical domain of neural architecture discovery--a fully autonomous system that shatters this fundamental constraint by enabling AI to conduct its own architectural innovation. Movi…

Minimal time control for the heat equation with multiple impulses
Ya Xin, Qishu Yan
https://arxiv.org/abs/2509.19811 https://arxiv.org/pdf/2509.19811

Minimal time control for the heat equation with multiple impulses
This paper investigates a minimal time control problem for the heat equation with multiple impulse controls. We first establish the maximum principles for this problem and then prove the equivalence between the minimal time impulse control problem and its corresponding minimal norm impulse control problem. Extending our analysis to the minimal time function itself, we examine its analytical properties (particularly continuity and monotonicity) with respect to the control constraint. This leads …

Self-Disguise Attack: Induce the LLM to disguise itself for AIGT detection evasion
Yinghan Zhou, Juan Wen, Wanli Peng, Zhengxian Wu, Ziwei Zhang, Yiming Xue
https://arxiv.org/abs/2508.15848

Self-Disguise Attack: Induce the LLM to disguise itself for AIGT detection evasion
AI-generated text (AIGT) detection evasion aims to reduce the detection probability of AIGT, helping to identify weaknesses in detectors and enhance their effectiveness and reliability in practical applications. Although existing evasion methods perform well, they suffer from high computational costs and text quality degradation. To address these challenges, we propose Self-Disguise Attack (SDA), a novel approach that enables Large Language Models (LLM) to actively disguise its output, reducing…

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain
https://arxiv.org/abs/2508.20674 https://…

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
Cognitive Science has profoundly shaped disciplines such as Artificial Intelligence (AI), Philosophy, Psychology, Neuroscience, Linguistics, and Culture. Many breakthroughs in AI trace their roots to cognitive theories, while AI itself has become an indispensable tool for advancing cognitive research. This reciprocal relationship motivates a comprehensive review of the intersections between AI and Cognitive Science. By synthesizing key contributions from both perspectives, we observe that AI pr…

Numerical Design of Optimized First-Order Algorithms
Yassine Kamri, Julien M. Hendrickx, Fran\c{c}ois Glineur
https://arxiv.org/abs/2507.20773 https://arxi…

Numerical Design of Optimized First-Order Algorithms
We derive several numerical methods for designing optimized first-order algorithms in unconstrained convex optimization settings. Our methods are based on the Performance Estimation Problem (PEP) framework, which casts the worst-case analysis of optimization algorithms as an optimization problem itself. We benchmark our methods against existing approaches in the literature on the task of optimizing the step sizes of memoryless gradient descent (which uses only the current gradient for updates) …

A Generalized $\chi_n$-Function
Cheng Lyu, Mu Yuan, Dabin Zheng, Siwei Sun, Shun Li
https://arxiv.org/abs/2509.20880 https://arxiv.org/pdf/2509.20880

A Generalized $χ_n$-Function
The mapping $χ_n$ from $\F_{2}^{n}$ to itself defined by $y=χ_n(x)$ with $y_i=x_i+x_{i+2}(1+x_{i+1})$, where the indices are computed modulo $n$, has been widely studied for its applications in lightweight cryptography. However, $χ_n $ is bijective on $\F_2^n$ only when $n$ is odd, restricting its use to odd-dimensional vector spaces over $\F_2$. To address this limitation, we introduce and analyze the generalized mapping $χ_{n, m}$ defined by $y=χ_{n,m}(x)$ with $y_i=x_i+x_{i+m} (x_{i+m-1…

On the Variational Costs of Changing Our Minds
David Hyland, Mahault Albarracin
https://arxiv.org/abs/2509.17957 https://arxiv.org/pdf/2509.17957

On the Variational Costs of Changing Our Minds
The human mind is capable of extraordinary achievements, yet it often appears to work against itself. It actively defends its cherished beliefs even in the face of contradictory evidence, conveniently interprets information to conform to desired narratives, and selectively searches for or avoids information to suit its various purposes. Despite these behaviours deviating from common normative standards for belief updating, we argue that such 'biases' are not inherently cognitive flaws, but rath…