Tootfinder

Ahh, the perfect blend of patriotism and the second amendment. 🤦
🇺🇸 There is a whole economy of grift on a twisted patriotism.
❌ I'm actually surprised there isn't a bit of a survivalist theme.
✅ There is, naturally, a statement about the owners: "As a veteran operated company, we proudly support America and stand by our military, law enforcement, and first responders"

VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning
Minghong Cai, Qiulin Wang, Zongli Ye, Wenze Liu, Quande Liu, Weicai Ye, Xintao Wang, Pengfei Wan, Kun Gai, Xiangyu Yue
https://arxiv.org/abs/2510.08555

VideoCanvas: Unified Video Completion from Arbitrary Spatiotemporal Patches via In-Context Conditioning
We introduce the task of arbitrary spatio-temporal video completion, where a video is generated from arbitrary, user-specified patches placed at any spatial location and timestamp, akin to painting on a video canvas. This flexible formulation naturally unifies many existing controllable video generation tasks--including first-frame image-to-video, inpainting, extension, and interpolation--under a single, cohesive paradigm. Realizing this vision, however, faces a fundamental obstacle in modern l…

The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas
Baixuan Xu, Tianshi Zheng, Zhaowei Wang, Hong Ting Tsang, Weiqi Wang, Tianqing Fang, Yangqiu Song
https://arxiv.org/abs/2510.07091

The Cognitive Bandwidth Bottleneck: Shifting Long-Horizon Agent from Planning with Actions to Planning with Schemas
Enabling LLMs to effectively operate long-horizon task which requires long-term planning and multiple interactions is essential for open-world autonomy. Conventional methods adopt planning with actions where a executable action list would be provided as reference. However, this action representation choice would be impractical when the environment action space is combinatorial exploded (e.g., open-ended real world). This naturally leads to a question: As environmental action space scales, what …

Is it Gaussian? Testing bosonic quantum states
Filippo Girardi, Freek Witteveen, Francesco Anna Mele, Lennart Bittel, Salvatore F. E. Oliviero, David Gross, Michael Walter
https://arxiv.org/abs/2510.07305

Is it Gaussian? Testing bosonic quantum states
Gaussian states are widely regarded as one of the most relevant classes of continuous-variable (CV) quantum states, as they naturally arise in physical systems and play a key role in quantum technologies. This motivates a fundamental question: given copies of an unknown CV state, how can we efficiently test whether it is Gaussian? We address this problem from the perspective of representation theory and quantum learning theory, characterizing the sample complexity of Gaussianity testing as a fu…

SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models
Cheng-Han Chiang, Xiaofei Wang, Linjie Li, Chung-Ching Lin, Kevin Lin, Shujie Liu, Zhendong Wang, Zhengyuan Yang, Hung-yi Lee, Lijuan Wang
https://arxiv.org/abs/2510.06917

SHANKS: Simultaneous Hearing and Thinking for Spoken Language Models
Current large language models (LLMs) and spoken language models (SLMs) begin thinking and taking actions only after the user has finished their turn. This prevents the model from interacting during the user's turn and can lead to high response latency while it waits to think. Consequently, thinking after receiving the full input is not suitable for speech-to-speech interaction, where real-time, low-latency exchange is important. We address this by noting that humans naturally "think while liste…

On the Optimality of Tracking Fisher Information in Adaptive Testing with Stochastic Binary Responses
Sanghwa Kim (KAIST), Dohyun Ahn (The Chinese University of Hong Kong), Seungki Min (Seoul National University)
https://arxiv.org/abs/2510.07862

On the Optimality of Tracking Fisher Information in Adaptive Testing with Stochastic Binary Responses
We study the problem of estimating a continuous ability parameter from sequential binary responses by actively asking questions with varying difficulties, a setting that arises naturally in adaptive testing and online preference learning. Our goal is to certify that the estimate lies within a desired margin of error, using as few queries as possible. We propose a simple algorithm that adaptively selects questions to maximize Fisher information and updates the estimate using a method-of-moments …

Pseudo-MDPs: A Novel Framework for Efficiently Optimizing Last Revealer Seed Manipulations in Blockchains
Maxime Reynouard
https://arxiv.org/abs/2510.07080 https://

Pseudo-MDPs: A Novel Framework for Efficiently Optimizing Last Revealer Seed Manipulations in Blockchains
This study tackles the computational challenges of solving Markov Decision Processes (MDPs) for a restricted class of problems. It is motivated by the Last Revealer Attack (LRA), which undermines fairness in some Proof-of-Stake (PoS) blockchains such as Ethereum (\$400B market capitalization). We introduce pseudo-MDPs (pMDPs) a framework that naturally models such problems and propose two distinct problem reductions to standard MDPs. One problem reduction provides a novel, counter-intuitive per…

Thermodynamic Remnants in Black-hole Evaporation
Ivan Arraut, Abhishek Kumar Mehta
https://arxiv.org/abs/2510.06865 https://arxiv.org/pdf/2510.06865…

Thermodynamic Remnants in Black-hole Evaporation
We show that black-hole remnant scenario naturally arises in the original computations of Hawking without extra assumptions.

TIL: The Japanese Blind ICT Network (JBICT) runs AT surveys (kind of like WebAIM’s).
#accessibility

Iwasawa-type asymptotic formula for Taelman class groups of Drinfeld modules
Takenori Kataoka, Yoshiaki Okumura
https://arxiv.org/abs/2509.06633 https://ar…

Iwasawa-type asymptotic formula for Taelman class groups of Drinfeld modules
The Taelman class groups associated to Drinfeld modules over function fields serve as an analogue of ideal class groups of number fields. In this paper, we establish an analogue of Iwasawa's asymptotic formula for $\mathbb{Z}_p$-extensions in the context of the Taelman class groups. For this purpose, we naturally introduce and investigate Taelman class groups with moduli.

Adjusted Random Effect Block Bootstraps for Highly Unbalanced Clustered Data
Zhi Yang Tho, Raymond Chambers, A. H. Welsh
https://arxiv.org/abs/2510.07770 https://

Adjusted Random Effect Block Bootstraps for Highly Unbalanced Clustered Data
Clustered data arise naturally in many scientific and applied research settings where units are grouped within clusters. They are commonly analyzed using linear mixed models to account for within-cluster correlations. This article focuses on the scenario in which cluster sizes might be highly unbalanced and proposes a proportional random effect block bootstrap and a modified random effect block bootstrap, which are applicable in such cases and accommodate general distributions of random effects…

Dynamic Connectivity with Expected Polylogarithmic Worst-Case Update Time
Simon Meierhans, Maximilian Probst Gutenberg
https://arxiv.org/abs/2510.08297 https://

Dynamic Connectivity with Expected Polylogarithmic Worst-Case Update Time
Whether a graph $G=(V,E)$ is connected is arguably its most fundamental property. Naturally, connectivity was the first characteristic studied for dynamic graphs, i.e. graphs that undergo edge insertions and deletions. While connectivity algorithms with polylogarithmic amortized update time have been known since the 90s, achieving worst-case guarantees has proven more elusive. Two recent breakthroughs have made important progress on this question: (1) Kapron, King and Mountjoy [SODA'13; Best …

From Dirac to Dunkl Operators through Symmetry Reduction
Cristina Sard\'on
https://arxiv.org/abs/2510.08283 https://arxiv.org/pdf/2510.08283

From Dirac to Dunkl Operators through Symmetry Reduction
This paper presents a geometric and analytic derivation of Dirac--Dunkl operators as symmetry reductions of the flat Dirac operator on Euclidean space. Starting from the standard Dirac operator, we restrict to a fundamental Weyl chamber of a finite Coxeter group equipped with the Heckman--Opdam measure, and determine the necessary drift and reflection corrections that ensure formal skew--adjointness under this weighted geometry. This procedure naturally reproduces the Dunkl operators as the uni…

Does anyone have experience boarding in Brussels with a #Eurostar (#Thalys) ticket to Paris with an earlier departure point (NL)? The monopoly prohibits it and naturally charges a premium for rebooking... Should I take the risk or not? (I have to travel further after Paris, so I'd rather not ris…

Series D, Episode 06 - Headhunter
AVON: Naturally his chances will depend upon the extent of the injury.
VENA: Brain damage?
SOOLIN: Vila says the blow was not to the head. There is still a chance.
VENA: I see.
https://blake.torpidity.net/m/406/128 B7B3

Attention-Enhanced Reinforcement Learning for Dynamic Portfolio Optimization
Pei Xue, Yuanchun Ye
https://arxiv.org/abs/2510.06466 https://arxiv.org/pdf/25…

Attention-Enhanced Reinforcement Learning for Dynamic Portfolio Optimization
We develop a deep reinforcement learning framework for dynamic portfolio optimization that combines a Dirichlet policy with cross-sectional attention mechanisms. The Dirichlet formulation ensures that portfolio weights are always feasible, handles tradability constraints naturally, and provides a stable way to explore the allocation space. The model integrates per-asset temporal encoders with a global attention layer, allowing it to capture sector relationships, factor spillovers, and other cro…

Deterministic algorithms for inhomogeneous Bernoulli trials: Shapley value of network devices
Jesse D Wei, Guo Wei
https://arxiv.org/abs/2510.07572 https://

Deterministic algorithms for inhomogeneous Bernoulli trials: Shapley value of network devices
Suppose that $n$ computer devices are to be connected to a network via inhomogeneous Bernoulli trials. The Shapley value of a device quantifies how much the network's value increases due to the participation of that device. Characteristic functions of such games are naturally taken as the belief function (containment function) and Choquet capacity (hitting probability) of a random set (random network of devices). Traditionally, the Shapley value is either calculated as the expected marginal c…

Lepton flavor from a horizontal symmetry in a slice of AdS$_5$
Leandro Da Rold, Franco A. Gigena, Jaime S. Guzm\'an Guerrero
https://arxiv.org/abs/2510.06356 https://…

Lepton flavor from a horizontal symmetry in a slice of AdS$_5$
We build a model of lepton flavor in a slice of AdS$_5$. We add to the 5D SM fields a set of neutrino fields, as well as a horizontal U(1) symmetry and a flavon field, all propagating in the bulk. The electroweak and U(1) symmetries are spontaneously broken by a potential localized on the infrared boundary. We show that in a flavor anarchic scenario, by suitable choice of the 5D masses and the U(1) charges, the masses of the SM leptons and the PMNS matrix can be naturally generated. The neutrin…

The source of the cosmic-ray excess in the Centaurus region - constraints on possible candidates, mass composition and cosmic magnetic fields
Teresa Bister
https://arxiv.org/abs/2509.06594

The source of the cosmic-ray excess in the Centaurus region - constraints on possible candidates, mass composition and cosmic magnetic fields
The most significant excess in the arrival directions of ultra-high-energy cosmic rays with energies $\gtrsim40\,\mathrm{EeV}$ is found in the direction of several interesting source candidates, most prominently the nearby radio galaxy Centaurus A. Naturally, Cen A has been suspected to create the anisotropy - but very different scenarios have been proposed. This includes a subdominant source contribution in combination with isotropic background sources, as well as a scenario where Cen A suppli…

Late accretion offers pathway to misaligned disk around the planet-hosting IRAS 04125 2902
L. -A. H\"uhn, H. -C. Jiang, C. P. Dullemond
https://arxiv.org/abs/2509.06564 htt…

Late accretion offers pathway to misaligned disk around the planet-hosting IRAS 04125+2902
We present a 3D hydrodynamical simulation of the accretion of a gas cloudlet onto the IRAS 04125+2902 binary system, where the 3-Myr primary hosts a transiting planet. We demonstrate that such an accretion event can naturally produce a circumstellar disk that is misaligned with respect to the rest of the system, consistent with the observed misaligned transition disk. In the model, the prescribed orbital plane of the cloudlet is largely retained by the resulting circumstellar disk after undergo…

Curve separation in supercritical half-space last passage percolation
Evgeni Dimitrov, Zhengye Zhou
https://arxiv.org/abs/2510.07508 https://arxiv.org/pdf/…

Curve separation in supercritical half-space last passage percolation
We study line ensembles arising naturally in symmetrized/half-space geometric last passage percolation (LPP) on the $N \times N$ square. The weights of the model are geometrically distributed with parameter $q^2$ off the diagonal and $cq$ on the diagonal, where $q \in (0,1)$ and $c \in (0, q^{-1})$. In the supercritical regime $c > 1$, we show that the ensembles undergo a phase transition: the top curve separates from the rest and converges to a Brownian motion under $N^{1/2}$ fluctuations and …

Confinement reduces surface accumulation of swimming bacteria
Da Wei, Shiyuan Hu, Tangmiao Tang, Yaochen Yang, Fanlong Meng, Yi Peng
https://arxiv.org/abs/2510.08092 https://

Confinement reduces surface accumulation of swimming bacteria
Many swimming bacteria naturally inhabit confined environments, yet how confinement influences their swimming behaviors remains unclear. Here, we combine experiments, continuum modeling and particle-based simulations to investigate near-surface bacterial swimming in dilute suspensions under varying confinement. Confinement reduces near-surface accumulation and facilitates bacterial escape. These effects are quantitatively captured by models incorporating the force quadrupole, a higher-order hyd…

Weak solutions of port-Hamiltonian systems
Timo Reis
https://arxiv.org/abs/2509.05521 https://arxiv.org/pdf/2509.05521

Weak solutions of port-Hamiltonian systems
We consider port-Hamiltonian systems from a geometric perspective, where the quantities involved such as state, flows, and efforts evolve in (possibly infinite-dimensional) Banach spaces. The main contribution of this article is the introduction of a weak solution concept. In this framework we show that the derivative of the state naturally lives in a space that, for ordinary evolution equations, plays the role of an extrapolation space. Through examples, we demonstrate that this approach is co…

Unlock giant nonreciprocity via multi-valued behavior of non-Hermitian zero-index materials
Yang Li, Yueyang Liu, Yucong Yang, Tianyi Zhang, Jianfeng Chen, Tian Dong, Fulong Shi, Phatham Loahavilai, Tianchi Zhang, Di Wu, Zixuan Wei, Dengfu Deng, Jun Qin, Longjiang Deng, Cheng-Wei Qiu, Lei Bi
https://arxiv.org/abs/2509.06121

Unlock giant nonreciprocity via multi-valued behavior of non-Hermitian zero-index materials
Although Einstein's field equations are time-independent, the multivalued feature of the horizon of a blackhole naturally enables the one-way transmission, leading to the strong arrow of time from the time-independent gravitational interaction. Here we experimentally demonstrate a photonic analogue of this principle and reveal the infinite nonreciprocity of the time-reversal-symmetric Maxwell equations. By designing a non-Hermitian zero-index magneto-optical metawaveguide, we introduce multival…

Beyond No Tension: JWST z > 10 Galaxies Push Simulations to the Limit
Joe McCaffrey, Samantha Hardin, John H. Wise, John A. Regan
https://arxiv.org/abs/2509.07695 https://

Beyond No Tension: JWST z > 10 Galaxies Push Simulations to the Limit
JWST has identified some of the Universe's earliest galaxies, repeatedly pushing the frontier to ever higher redshifts and stellar masses. The presence of such extreme galaxies at such early times, with large stellar populations and high star-formation rates, naturally results in a tension between observation and theory. This tension between numerical models and observations can be either due to our underlying cosmological models or due to a gap in our understanding of early Universe astrophysi…

Good things always come in 3s: trimodality in the binary black-hole chirp-mass distribution supports bimodal black-hole formation
Reinhold Willcox, Fabian R. N. Schneider, Eva Laplace, Philipp Podsiadlowski, Kiril Maltsev, Ilya Mandel, Pablo Marchant, Hugues Sana, Tjonnie G. F. Li, Thomas Hertog
https://arxiv.org/abs/2510.07573

Good things always come in 3s: trimodality in the binary black-hole chirp-mass distribution supports bimodal black-hole formation
The latest GWTC-4 release from the LIGO-Virgo-KAGRA (LVK) collaboration nearly doubles the known population of double compact object mergers and reveals a new trimodal structure in the chirp-mass distribution of merging binary black holes (BBHs) below 30 Msun. Recent detailed stellar evolution models show that features in the pre-collapse cores of massive stars produce a bimodal black hole (BH) mass distribution, which naturally extends to a trimodal BBH chirp-mass distribution. Both distributi…

Effects of skewing collision cells on transport properties in multiparticle collision dynamics simulations
Jinny Cha, Wilfred Kwabena Darko, Jeremy C. Palmer, Michael P. Howard
https://arxiv.org/abs/2510.07446

Effects of skewing collision cells on transport properties in multiparticle collision dynamics simulations
Multiparticle collision dynamics (MPCD) is a mesoscale simulation technique that uses a simplified solvent to model hydrodynamic interactions. Rather than interact through pairwise forces, MPCD solvent particles undergo momentum-exchanging collisions within spatially localized cells according to prescribed rules. The conventional MPCD algorithm employs cubic collision cells, but this choice is not optimal for systems that are most naturally described using skewed simulation boxes. Here, we inve…

Generalizing the composite fermion theory for fractional Chern insulators
Hao Jin, Junren Shi
https://arxiv.org/abs/2509.06265 https://arxiv.org/pdf/2509.0…

Generalizing the composite fermion theory for fractional Chern insulators
We propose a generalized composite fermion (CF) theory for fractional Chern insulators (FCIs) by adapting the quantum mechanics approach of CFs. The theoretical framework naturally produces an effective CF Hamiltonian and a wavefunction ansatz, and the Bloch band characteristics of FCIs determine effective scalar and vector potentials experienced by CFs. Our analysis clarifies the construction of CF wavefunctions and state counting in CF phase space, which is subject to a density-of-states corr…

Estrogen? Hot drinks will suffice!
"""
Naturally, cold water cooled. For that reason it was used in mania and frenzy, sicknesses of heat where the spirits were in ebullition, solids tightened and liquids were heated to the point of evaporation, leaving the brain of the patient ‘dry and brittle’, as anatomists regularly demonstrated. Reasonably enough Boissieu includes cold water among his list of refreshing cures: baths were the foremost ‘antiphlogistic’, purifying the body of any excessive igneous particles to be found there. Taken as a drink, it was a ‘dilutive procastinant’ that diminished the resistance of fluids to the action of solids, thereby indirectly lowering the general heat of the body.
But it was also said that cold water brought heat and that hot water cooled. Such at least was the thesis defended by Darut. Cold baths chased the blood from the periphery of the body and pushed it ‘with increased vigour towards the heart’. As the heart was the seat of natural heat, the blood was warmed there, all the more so as “the heart, which struggles alone against all the other parts, makes renewed efforts to expel the blood and overcome capillary resistance. What results is a greater intensity of circulation, the division of the blood, the fluidity of the humours, the destruction of congestions, an increase in the strength of the natural heat, of the appetite of the digestive forces, and the activity of the body and the mind.” A symmetrical paradox operated regarding hot baths: blood was attracted to the extremities of the body, as were the humours, sweat, and all forms of liquid, both beneficial and harmful. The vital centres were therefore deserted, the heart slowed and the organism thus began to cool down. This fact was confirmed by the ‘fainting, lipothymia… weakness, nonchalance, lassitude, and lack of vigour’ that generally accompanied excessive bathing with hot water.
But there was more. So great was the polyvalence of water, so great was its aptitude to submit itself to the qualities that it carried, that it sometimes lost its efficacy as a liquid and acted as a desiccant instead. Water could Prevent dampness. In part, this was the old principle of similia similibus, but in another sense, and by the intermediary of a visible mechanism. For some, it was cold water that brought dryness, as heat kept water humid. Heat dilated the pores of the organism, distended its membranes, and allowed humidity to impregnate them as a secondary effect. Liquids made their way through heat. For that reason, the hot drinks so widely used in the seventeenth century risked becoming a danger, and those who took too many risked relaxation, general dampness and a weakness of the whole organism. As these were traits commonly associated with the feminine body, as opposed to the dry, virile solidity of the male, the abuse of hot drinks could lead to a general feminisation of the human race: “Not without reason, the reproach is made to the majority of men that they have softened and degenerated, taking on the habits and inclinations of women – the only thing lacking is a physical resemblance. The abuse of humectants could accelerate the metamorphosis, and render the two sexes almost identical both physically and morally. Woe betide the human race if this prejudice ever spreads to the masses: there will be no more labourers, artisans or soldiers, as they will have lost the strength and vigour necessary for their profession.” [Pressavin]
"""
(Michel Foucault, History of Madness)

Structured covariance estimation via tensor-train decomposition
Artsiom Patarusau, Nikita Puchkin, Maxim Rakhuba, Fedor Noskov
https://arxiv.org/abs/2510.08174 https://

Structured covariance estimation via tensor-train decomposition
We consider a problem of covariance estimation from a sample of i.i.d. high-dimensional random vectors. To avoid the curse of dimensionality we impose an additional assumption on the structure of the covariance matrix $Σ$. To be more precise we study the case when $Σ$ can be approximated by a sum of double Kronecker products of smaller matrices in a tensor train (TT) format. Our setup naturally extends widely known Kronecker sum and CANDECOMP/PARAFAC models but admits richer interaction acros…

Wilson-Loop-Ideal Bands and General Idealization
Jiabin Yu, Biao Lian, Shinsei Ryu
https://arxiv.org/abs/2509.05410 https://arxiv.org/pdf/2509.05410…

Wilson-Loop-Ideal Bands and General Idealization
Quantum geometry is universally bounded from below by Wilson-loop windings. In this work, we define an isolated set of bands to be Wilson-loop-ideal, if their quantum metric saturates the Wilson-loop lower bound. The definition naturally incorporates the known Chern-ideal and Euler-ideal bands, and allows us to define other types of ideal bands, such as Kane-Mele $Z_2$-ideal bands. In particular, we find that an isolated set of two $Z_2$-ideal bands with non-singular nonabelian Berry curvature …

The quasi-Assouad dimension of $(1,2t)$-Furstenberg sets in $\mathbb{R}^3$ is extremized by sticky sets
Sam Craig
https://arxiv.org/abs/2510.06462 https://…

The quasi-Assouad dimension of $(1,2t)$-Furstenberg sets in $\mathbb{R}^3$ is extremized by sticky sets
A $(1,2t)$-Furstenberg set in $\mathbb{R}^3$ is naturally defined as a set containing a union of unit line segments forming a $2t$-dimensional subset of the affine Grassmannian in $\mathbb{R}^3$ and satisfying a suitable variant of the Frostman Convex Wolff Axiom. Some of these sets have a multi-scale self-similarity property called stickiness. We investigate the extremizers of the quasi-Assouad dimension of $(1,2t)$-Furstenberg sets, a slightly stronger variant of the Assouad dimension. We pro…

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…

🌲 Naturally fast-growing spruce trees have many long fibers, case study shows
#trees

Naturally fast-growing spruce trees have many long fibers, case study shows
Rapid height growth may positively influence fiber length in Swedish spruce wood. A case study investigated wood samples from 38-year-old Norway spruces (Picea abies) in one of Sweden's most naturally fertile forests.

Kekul\'e Superconductivity in Twisted Magic Angle Bilayer Graphene
Ke Wang, K. Levin
https://arxiv.org/abs/2510.06451 https://arxiv.org/pdf/2510.06451

Kekulé Superconductivity in Twisted Magic Angle Bilayer Graphene
Motivated by recent scanning tunneling microscopy experiments which report Kekulé ordering in the twisted graphene family, we develop a microscopic theory of superconductivity, specifically for the bi-layer case. This involves an intra-valley, finite-momentum pair-density wave (PDW) which naturally incorporates a Kekulé distortion into the superconducting phase. The PDW state displays three central features: (i) it spontaneously breaks $C_3$ rotational symmetry, producing nematic order, and (…

Sequential quantum processes with group symmetries
Dmitry Grinko, Satoshi Yoshida, Mio Murao, Maris Ozols
https://arxiv.org/abs/2510.07100 https://arxiv.or…

Sequential quantum processes with group symmetries
Symmetry plays a crucial role in the design and analysis of quantum protocols. This result shows a canonical circuit decomposition of a $(G \times H)$-invariant quantum comb for compact groups $G$ and $H$ using the corresponding Clebsch-Gordan transforms, which naturally extends to the $G$-covariant quantum comb. By using this circuit decomposition, we propose a parametrized quantum comb with group symmetry, and derive the optimal quantum comb which transforms an unknown unitary operation $U \i…

Hope and imagination aren't just a nice things. Authoritarianism is rooted in doom. Authoritarianism is naturally unstable. It's naturally weak. It's extremely complex and fragile. Authoritarian regimes often collapse rapidly and catastrophically. They keep people pinned in place by removing hope. They heap trauma on their victims because trauma destroys hope and reduces creativity. So hope and imagination are the most powerful weapons against authoritarianism.
The regime tells you that things can only get worse. The regime needs you to believe it. They want you to fight on their terms, so they can pick you off, or to run or freeze, so they don't have to fight you at all. Authoritarianism must kill the creativity of it's victims, because authoritarianism has already killed it's own creativity. When you respond with hope and creativity, the system cannot adapt.
It is not simply that we should imagine what could be because we may have the opportunity to create it. It is that hope manifests the opportunity to create what we've imagined.

Insurance products with guarantees in an affine setting
Raquel M. Gaspar, Thorsten Schmidt
https://arxiv.org/abs/2510.06698 https://arxiv.org/pdf/2510.0669…

Insurance products with guarantees in an affine setting
To make medium- and long-term insurance products attractive, it is essential to enable participation in stock market returns. However, to eliminate downside risk, guarantees must be included, which naturally leads to the challenge of valuing such contracts within a unified insurance-finance framework. We develop a general setup that allows for the joint modelling of financial markets, mortality and policyholder behaviour. Within this framework, we propose a general affine approach and derive ex…

One rig to control them all
Chris Heunen, Robin Kaarsgaard, Louis Lemonnier
https://arxiv.org/abs/2510.05032 https://arxiv.org/pdf/2510.05032

One rig to control them all
We introduce a theory for computational control, consisting of seven naturally interpretable equations. Adding these to a prop of base circuits constructs controlled circuits, borne out in examples of reversible Boolean circuits and quantum circuits. We prove that this syntactic construction semantically corresponds to taking the free rig category on the base prop.

On a class of almost Hermitian 4-manifolds
Ethan Addison, Tedi Draghici, Mehdi Lejmi
https://arxiv.org/abs/2510.05358 https://arxiv.org/pdf/2510.05358

On a class of almost Hermitian 4-manifolds
Using an integral identity proved by Sekigawa \cite{Sek87} on compact almost Hermitian 4-manifolds, we naturally obtain a global characterization of the class $\mathcal{AH}_1$ of almost Hermitian 4-manifolds satisfying the first Gray curvature condition from apparently weaker conditions. Then we take steps towards a classification of almost Hermitian 4-manifolds of class $\mathcal{AH}_1$, including proving a uniqueness result on 4-dimensional Lie algebras.

Yet another exponential Hopfield model
Linda Albanese, Andrea Alessandrelli, Adriano Barra, Peter Sollich
https://arxiv.org/abs/2509.06905 https://arxiv.or…

Yet another exponential Hopfield model
We propose and analyze a new variation of the so-called {\em exponential Hopfield model}, a recently introduced family of associative neural networks with unprecedented storage capacity. Our construction is based on a cost function defined through exponentials of standard quadratic loss functions, which naturally favors configurations corresponding to perfect recall. Despite not being a mean-field system, the model admits a tractable mathematical analysis of its dynamics and retrieval propertie…

DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base
Zahin Ibnat, Paul E. Calzada, Rasin Mohammed Ihtemam, Sujan Kumar Saha, Jingbo Zhou, Farimah Farahmandi, Mark Tehranipoor
https://arxiv.org/abs/2510.05327

DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base
As large language models (LLMs) continue to be integrated into modern technology, there has been an increased push towards code generation applications, which also naturally extends to hardware design automation. LLM-based solutions for register transfer level (RTL) code generation for intellectual property (IP) designs have grown, especially with fine-tuned LLMs, prompt engineering, and agentic approaches becoming popular in literature. However, a gap has been exposed in these techniques, as t…

We've been working with Liquid Glass all summer (with the first fruits of that effort being visible in today's test builds of OmniFocus 4.8). So, naturally, this Ohrwurm song by @… has had many occasions to be summoned to my mental soundtrack—ever since the first preview he played in the car on the way to @…

Big-Bounce in Quantum f(R)-Cosmology: Polymer Dynamics with Internal Time
M. L. Limongi, S. Lo Franco, G. Montani, S. Segreto
https://arxiv.org/abs/2509.05021 https://

Big-Bounce in Quantum f(R)-Cosmology: Polymer Dynamics with Internal Time
We construct the Hamiltonian formulation of the isotropic Universe in a generic metric f(R)-theory in the Jordan frame. We canonically quantize the Universe volume via a polymer formulation, and we adopt the scalar field naturally arising from this scenario as a physical clock. Being within the limit of cut-off values of the space volume, we are legitimized to neglect, at first approximation level, the self-interacting potential term associated with the scalar field. We first study the semi-cla…

From annular to toroidal knotoids and their bracket polynomials
Ioannis Diamantis, Sofia Lambropoulou, Sonia Mahmoudi
https://arxiv.org/abs/2509.05014 https://

From annular to toroidal knotoids and their bracket polynomials
In this paper we study the theory of multi-knotoids of the annulus and of the torus. We present first their equivalence relation, building it up from the theory of planar knotoids to the theory of toroidal knotoids through the theory of annular knotoids. We introduce the concept of lifting annular and toroidal knotoids and examine inclusion relations arising naturally from the topology of the supporting manifolds. We also introduce the concept of mixed knotoids as special cases of planar knotoi…

Density estimation for compositional data using nonparametric mixtures
Jiajin Xie, Yong Wang, Eduardo Garc\'ia-Portugu\'es
https://arxiv.org/abs/2510.07608 https://

Density estimation for compositional data using nonparametric mixtures
Compositional data, representing proportions constrained to the simplex, arise in diverse fields such as geosciences, ecology, genomics, and microbiome research. Existing nonparametric density estimation methods often rely on transformations, which may induce substantial bias near the simplex boundary. We propose a nonparametric mixture-based framework for density estimation on compositions. Nonparametric Dirichlet mixtures are employed to naturally accommodate boundary values, thereby avoiding…

Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies
Lyes Saad Saoud, Irfan Hussain
https://arxiv.org/abs/2510.04692 https://

Bio-Inspired Robotic Houbara: From Development to Field Deployment for Behavioral Studies
Biomimetic intelligence and robotics are transforming field ecology by enabling lifelike robotic surrogates that interact naturally with animals under real world conditions. Studying avian behavior in the wild remains challenging due to the need for highly realistic morphology, durable outdoor operation, and intelligent perception that can adapt to uncontrolled environments. We present a next generation bio inspired robotic platform that replicates the morphology and visual appearance of the fe…

A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography
Ruchi Guo, Jiahua Jiang, Bangti Jin, Wuwei Ren, Jianru Zhang
https://arxiv.org/abs/2510.05926 …

A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography
Fluorescence Molecular Tomography (FMT) is a widely used non-invasive optical imaging technology in biomedical research. It usually faces significant accuracy challenges in depth reconstruction, and conventional iterative methods struggle with poor $z$-resolution even with advanced regularization. Supervised learning approaches can improve recovery accuracy but rely on large, high-quality paired training dataset that is often impractical to acquire in practice. This naturally raises the questio…

Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
David Layden, Ryan Sweke, Vojt\v{e}ch Havl\'i\v{c}ek, Anirban Chowdhury, Kirill Neklyudov
https://arxiv.org/abs/2510.08462

Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
Flow models are a cornerstone of modern machine learning. They are generative models that progressively transform probability distributions according to learned dynamics. Specifically, they learn a continuous-time Markov process that efficiently maps samples from a simple source distribution into samples from a complex target distribution. We show that these models are naturally related to the Schrödinger equation, for an unusual Hamiltonian on continuous variables. Moreover, we prove that the…

A three-dimensional acousto-optic deflector
Lewis R. B. Picard, Manuel Endres
https://arxiv.org/abs/2510.07633 https://arxiv.org/pdf/2510.07633

A three-dimensional acousto-optic deflector
Acousto-optic deflectors (AODs) are widely used across physics, microscopy, neuroscience, and laser engineering, providing fast, precise, and non-mechanical control of light. While conventional AODs naturally support multiplexing in one and two dimensions, no analogous device has existed for three-dimensional control, leaving a critical gap in rapid focus tuning and 3D beam shaping. Here we demonstrate a three-dimensional AOD system capable of multiplexed axial and lateral beam control with hig…

Towards Robust and Realible Multimodal Fake News Detection with Incomplete Modality
Hengyang Zhou, Yiwei Wei, Jian Yang, Zhenyu Zhang
https://arxiv.org/abs/2510.05839 https://…

Towards Robust and Realible Multimodal Fake News Detection with Incomplete Modality
Multimodal fake news detection (MFND) has become an urgent task with the emergence of huge multimodal fake content on social media platforms. Previous studies mainly focus on complex feature extraction and fusion to learn discriminative information from multimodal content. However, in real-world applications, multimedia news may naturally lose some information during dissemination, resulting in modality incompleteness, which is detrimental to the generalization and robustness of existing models…

Connections between Richardson-Gaudin States, Perfect-Pairing, and Pair Coupled-Cluster Theory
Paul A. Johnson, Charles-\'Emile Fecteau, Samuel Nadeau, Mauricio Rodr\'iguez-Mayorga, Pierre-Fran\c{c}ois Loos
https://arxiv.org/abs/2510.06144

Connections between Richardson-Gaudin States, Perfect-Pairing, and Pair Coupled-Cluster Theory
Slater determinants underpin most electronic structure methods, but orbital-based approaches often struggle to describe strong correlation efficiently. Geminal-based theories, by contrast, naturally capture static correlation in bond-breaking and multireference problems, though at the expense of implementation complexity and limited treatment of dynamic effects. In this work, we examine the interplay between orbital and geminal frameworks, focusing on perfect-pairing (PP) wavefunctions and thei…

Multiplicative Turing Ensembles, Pareto's Law, and Creativity
Alexander Kolpakov, Aidan Rocke
https://arxiv.org/abs/2510.04167 https://arxiv.org/pdf/25…

Multiplicative Turing Ensembles, Pareto's Law, and Creativity
We study integer-valued multiplicative dynamics driven by i.i.d. prime multipliers and connect their macroscopic statistics to universal codelengths. We introduce the Multiplicative Turing Ensemble (MTE) and show how it arises naturally - though not uniquely - from ensembles of probabilistic Turing machines. Our modeling principle is variational: taking Elias' Omega codelength as an energy and imposing maximum entropy constraints yields a canonical Gibbs prior on integers and, by restriction, o…

Magnetocrystalline Anisotropy and 3D Hopping Conduction at the Surface of FeSb2
Jarryd A. Horn, Yun Suk Eo, Keenan Avers, Hyeok Yoon, Ryan G. Dorman, Shanta R. Saha, Johnpierre Paglione
https://arxiv.org/abs/2509.05788

Magnetocrystalline Anisotropy and 3D Hopping Conduction at the Surface of FeSb2
Motivated by the recent discovery of metallic surface states in the d-electron Kondo insulator candidates FeSi and FeSb2, along with some recent reports of magnetic correlations in the surface transport properties of FeSi, we have investigated the low temperature surface magnetotransport properties of FeSb2. By using a Corbino disk transport geometry, we were able to isolate the electrical transport properties of a single surface of our samples and study the [110] and [101] naturally forming fa…

Learning to accelerate distributed ADMM using graph neural networks
Henri Doerks, Paul H\"ausner, Daniel Hern\'andez Escobar, Jens Sj\"olund
https://arxiv.org/abs/2509.05288

Learning to accelerate distributed ADMM using graph neural networks
Distributed optimization is fundamental in large-scale machine learning and control applications. Among existing methods, the Alternating Direction Method of Multipliers (ADMM) has gained popularity due to its strong convergence guarantees and suitability for decentralized computation. However, ADMM often suffers from slow convergence and sensitivity to hyperparameter choices. In this work, we show that distributed ADMM iterations can be naturally represented within the message-passing framewor…

A Unified Optimization Framework for Multiclass Classification with Structured Hyperplane Arrangements
V\'ictor Blanco, Harshit Kothari, James Luedtke
https://arxiv.org/abs/2510.05047

A Unified Optimization Framework for Multiclass Classification with Structured Hyperplane Arrangements
In this paper, we propose a new mathematical optimization model for multiclass classification based on arrangements of hyperplanes. Our approach preserves the core support vector machine (SVM) paradigm of maximizing class separation while minimizing misclassification errors, and it is computationally more efficient than a previous formulation. We present a kernel-based extension that allows it to construct nonlinear decision boundaries. Furthermore, we show how the framework can naturally incor…

I spent the weekend making a fun DevOps pipeline because I felt like it and am now quite pleased.
I'm hosting gitea, n8n and docker registry in my lab. I now have a webhook in gitea for certain repos so that when I push to them, it triggers n8n to pull the repo and build the dockerfile. This image is then pushed to the registry, and watchtower will pull it when it runs.
Naturally have all my own DNS things for these app web guis which go through nginx. All of this is in pro…

msmJAX: Fast and Differentiable Electrostatics on the GPU in Python
Florian Buchner, Johannes Sch\"orghuber, Nico Unglert, Jes\'us Carrete, Georg K. H. Madsen
https://arxiv.org/abs/2510.05961 …

msmJAX: Fast and Differentiable Electrostatics on the GPU in Python
We present msmJAX, a Python package implementing the multilevel summation method with B-spline interpolation, a linear-scaling algorithm for efficiently evaluating electrostatic and other long-range interactions in particle-based simulations. Built on the JAX framework, msmJAX integrates naturally with the machine-learning methods that are transforming chemistry and materials science, while also serving as a powerful tool in its own right. It combines high performance with Python's accessibilit…

Day 11: Bee Johnson
As promised, back to printed books, and since I hadn't yet done any authors of picture or board books, here's one. It looks like Johnson is primarily an illustrator and has only written a single kids' book, but it's a magnificent one: "What Can A Mess Make?"
Naturally, the illustrations are rich and evocative, but it's also got one of my favorite formats (just a few lines per page, with consistent meter and rhymes throughout) and has the incredibly charming theme of two sisters who are constantly making messes, except it highlights the fun (and other emotions) they get out of their messy play, reminding parents cleaning up messes that there's a benefit to letting your kids make the mess in the first place, which is an idea that's stuck with me as I clean up my own kids' messes. This book checks *all* of my boxes for a good picture book (which is kinda hard).
#20AuthorsNoMen
P.S. at this point, I think I've exhausted the range of "author" definitions I wanted to include in my list, and I've now got the unenviable task of balancing between genres and trying to hit some of my favorite authors before we get to 20. We'll see how that goes...

Effective approach to open systems with probability currents and the Grothendieck formalism
A. Vourdas
https://arxiv.org/abs/2509.07882 https://arxiv.org/p…

Effective approach to open systems with probability currents and the Grothendieck formalism
An effective approach to open systems and irreversible phenomena is presented, where an open system $Σ(d)$ with $d$-dimensional Hilbert space, is a subsystem of a larger isolated system $Σ(2d)$ (the `full universe') with $2d$-dimensional Hilbert space. A family of Bargmann-like representations (called $z$-Bargmann representations) introduces naturally the larger space. The $z$-Bargmann representations are defined through semi-unitary matrices (which are a coherent states formalism in disguise…

Deep learning framework for predicting stochastic take-off and die-out of early spreading
Wenchao He, Tao Jia
https://arxiv.org/abs/2510.04574 https://arxi…

Deep learning framework for predicting stochastic take-off and die-out of early spreading
Large-scale outbreaks of epidemics, misinformation, or other harmful contagions pose significant threats to human society, yet the fundamental question of whether an emerging outbreak will escalate into a major epidemic or naturally die out remains largely unaddressed. This problem is challenging, partially due to inadequate data during the early stages of outbreaks and also because established models focus on average behaviors of large epidemics rather than the stochastic nature of small trans…

On Prediction-Based Properties of Discrete-Event Systems: Notions, Applications and Supervisor Synthesis
Bohan Cui, Yu Chen, Alessandro Giua, Xiang Yin
https://arxiv.org/abs/2510.04616

On Prediction-Based Properties of Discrete-Event Systems: Notions, Applications and Supervisor Synthesis
In this work, we investigate the problem of synthesizing property-enforcing supervisors for partially-observed discrete-event systems (DES). Unlike most existing approaches, where the enforced property depends solely on the executed behavior of the system, here we consider a more challenging scenario in which the property relies on predicted future behaviors that have not yet occurred. This problem arises naturally in applications involving future information, such as active prediction or inten…

Took my car in for a major service (brakes) this morning, so naturally, our 9-year-old dishwasher died. It started whistling and then stopped and displayed an error code on the control panel. Looked up the error code, and it states, "Turn off the water supply and shut off power to the unit. Contact the manufacturer service department immediately." The use of "immediately" makes me believe that it's serious.
I guess we're shopping for a new dishwasher.

Gauged Extended Field Theory and Generalised Cartan Geometry
Falk Hassler, David Osten, Alex Swash
https://arxiv.org/abs/2509.04595 https://arxiv.org/pdf/2…

Gauged Extended Field Theory and Generalised Cartan Geometry
Cartan geometry provides a unifying algebraic construction of curvature and torsion, based on an underlying model Lie algebra -- a viewpoint that can be extended naturally to the higher algebraic structures underlying supergravity. We present a Cartan-geometric framework for generalised geometries governed by a differential graded Lie algebra, extending previous results. The extended tangent bundle admits the action of both a global duality group $\mathcal{G}$ and a local gauge group $H$. This …

Yamaguti algebras and noncrossing partitions
Fr\'ed\'eric Chapoton (IRMA), Vladimir Dotsenko (IRMA)
https://arxiv.org/abs/2510.03148 https://arxiv.…

Yamaguti algebras and noncrossing partitions
Recently, Das defined a new type of algebras, the Yamaguti algebras, which are supposed to serve as envelopes of Lie-Yamaguti algebras appearing naturally in differential geometry. We show that the nonsymmetric operad of Yamaguti algebras admit a simple combinatorial description via noncrossing partitions without singleton blocks.

Character Mixing for Video Generation
Tingting Liao, Chongjian Ge, Guangyi Liu, Hao Li, Yi Zhou
https://arxiv.org/abs/2510.05093 https://arxiv.org/pdf/2510…

Character Mixing for Video Generation
Imagine Mr. Bean stepping into Tom and Jerry--can we generate videos where characters interact naturally across different worlds? We study inter-character interaction in text-to-video generation, where the key challenge is to preserve each character's identity and behaviors while enabling coherent cross-context interaction. This is difficult because characters may never have coexisted and because mixing styles often causes style delusion, where realistic characters appear cartoonish or vice ver…

Observation of the non-diffraction of natural skyrmions with subwavelength confinement around optical vortices
Nilo Mata-Cervera, Deepak K. Sharma, Ramon Paniagua-Dominguez, Yijie Shen, Miguel A. Porras
https://arxiv.org/abs/2509.06555

Observation of the non-diffraction of natural skyrmions with subwavelength confinement around optical vortices
It is a fundamental fact of waves that they spread as they evolve freely, regardless of their nature. Previous research to overcome diffraction spreading has led to idealized waves that, in real settings, exhibit quasi-non-diffraction and eventually spread. Here we demonstrate that the optical skyrmion that is naturally present in optical vortices is a structure of light that is exempt from diffraction. It propagates without any change in shape and size within a tube of arbitrary subwavelength …

The Fox algebra, Localization and factorizations of free polynomials
Pham Ngoc Anh
https://arxiv.org/abs/2510.03429 https://arxiv.org/pdf/2510.03429…

The Fox algebra, Localization and factorizations of free polynomials
We discuss interrelations between: Cohn localizations of full square matrices; a Leavitt localization of a row; and the Jacobson quasi-inverses of quasi-regular elements. The latter Jacobson localizations appear naturally and easily in rings which are Hausdorff topological spaces with respect to an ideal topology, pointing out also a connection to specific Gabriel localizations. As a main result and an application we develop a factorization theory for free polynomials with non-zero augmentation…

Gravitational Wave Signatures of Warm Dark Matter in Gauge Extensions of the Standard Model
Lucia A. Popa (Institute of Space Sciences)
https://arxiv.org/abs/2510.05841 https://…

Gravitational Wave Signatures of Warm Dark Matter in Gauge Extensions of the Standard Model
We study the left-right symmetric extension of the Standard Model (LRSM), featuring a TeV-scale right-handed (RH) gauge boson $W_R$ and three RH neutrinos. This setup naturally realises the type-II seesaw mechanism for active neutrino masses. We identify the conditions that yield sufficient entropy dilution to reconcile the keV sterile neutrino dark matter energy density with observations while inducing an early matter domination (EMD) phase. These constrain the lightest active neutrino mass to…

Door Dasher Life Fun Facts: This might be useful to think of when you're rating your Dasher.... Who's at fault in this situation?
Let's say I accept an offer for McDonalds.
I head straight there... pull up to the store, and as I walk in the app buzzes again with a 2nd order for the same McDs.
Naturally, I accept. (not accepting reduces my Acceptance rate and potentially my ability to get new offers).
Now I have two orders at the same place! Great! Efficient!
The first order comes up quickly, I put it in my bag, 'pick it up' in the app, and wait for the 2nd order.
Now the fun begins. The restaurant says the 2nd order will be 10 minutes beyond the pickup time. I notify the app, and both customers of the wait... and I wait... and wait... if I remove the 2nd order from my app it affects my completion rate *and* means the customer has to wait for another dasher to come along.
Eventually the 2nd order is ready and I head out to make the deliveries. Both of course now late.. the first potentially cold (even in an insulated bag) *and* late.
In addition, sometimes, often a day or two later, the dasher will receive a “Contract Violation” for the lateness. 3 Contract Violations in a short period and you can be deactivated.
So... there ya go. It happens. I'm never sure what the best course of action is... unless both orders are immediately ready, which you can never predict, someone will end up losing; the store, customer, dasher, or a mix of all three.
#DasherLife #GigWork #DoorDash #Uber
P.S. It's worth noting that Door Dash is the only service I know of that is this strict. Uber Eats does not have mechanisms like this (at least in my experience). Never used Skip, so can't say on that.

${\mathrm G}_2$-structures with parallel skew-symmetric torsion
Andrei Moroianu, Uwe Semmelmann
https://arxiv.org/abs/2510.02899 https://arxiv.org/pdf/2510…

${\mathrm G}_2$-structures with parallel skew-symmetric torsion
We classify $7$-dimensional Riemannian manifolds carrying a metric connection with parallel skew-symmetric torsion whose holonomy is contained in $\mathrm{G}_2$, up to naturally reductive homogeneous spaces and nearly parallel $\mathrm{G}_2$-structures. This extends and completes the classification initiated by Th. Friedrich in the cocalibrated case. Incidentally, we also obtain the list of $\mathrm{SU}(3)$ geometries with parallel skew-symmetric torsion, up to naturally reductive homogeneous s…

Kinetic collisionless model of the solar transition region and corona with spatially intermittent heating
Luca Barbieri, Pascal D\'emoulin
https://arxiv.org/abs/2510.05954 h…

Kinetic collisionless model of the solar transition region and corona with spatially intermittent heating
We develop a three-dimensional kinetic model of the solar transition region and corona in which the plasma above the chromosphere is collisionless and embedded in a uniform magnetic field. Heating occurs intermittently at discrete locations on the chromospheric surface, modeled through a surface coarse-graining procedure that produces non-thermal boundary conditions for the Vlasov equation. The resulting stationary distribution functions generate suprathermal particle populations and naturally …

On Naturally and Weakly Mal'tsev Categories
Nelson Martins-Ferreira
https://arxiv.org/abs/2508.13315 https://arxiv.org/pdf/2508.13315

On Naturally and Weakly Mal'tsev Categories
We explore a hierarchy of notions in categorical algebra: Mal'tsev categories (where every reflexive relation is symmetric); naturally Mal'tsev categories (where every reflexive graph underlies a unique internal groupoid structure, also known as the Lawvere Condition); and weakly Mal'tsev categories (defined via the joint epimorphicity of local product injections). While varying in generality and historical prominence, these notions can be uniformly described using suitable classes of spans and…

Rare Transients in Nearby Galaxies Explain Ultra-high-energy Cosmic Rays
Imre Bartos, Marek Kowalski
https://arxiv.org/abs/2510.06193 https://arxiv.org/pdf…

Rare Transients in Nearby Galaxies Explain Ultra-high-energy Cosmic Rays
The origin of ultra-high-energy cosmic rays remains one of the central open questions in astroparticle physics. Recent measurements reveal anisotropies in arrival directions, a rigidity-dependent composition dominated by intermediate-mass nuclei, and striking hemispheric differences in the energy spectra. Here we show that rare transients in nearby galaxies can naturally account for these features. In our fiducial neutron-star merger model, the cosmic ray flux above $25$ EeV is dominated by ten…

@… IMO every short initialism naturally has many meanings depending on context, there’s only so many ways to combine 2-3 letters in the Latin alphabet. So I *personally* would never assume which of the many possible meanings is implied.
Whether you’re comfortable with it, will of course only ever be up to you.

From Traces to Program Incorrectness: A Type-Theoretic Approach
Yongwei Yuan, Zhe Zhou, Julia Belyakova, Benjamin Delaware, Suresh Jagannathan
https://arxiv.org/abs/2509.02428 h…

From Traces to Program Incorrectness: A Type-Theoretic Approach
We present a type-theoretic framework for reasoning about incorrectness in functional programs that interact with effectful, opaque library APIs. Our approach centers on traces -- temporally-ordered sequences of library API invocations -- which naturally characterize both the preconditions of individual APIs and their composite behavior. We represent these traces using symbolic regular expressions (SREs), enabling formal specification of incorrect abstract data type (ADT) behaviors across funct…

Geolog-IA: Conversational System for Academic Theses
Micaela Fuel Pozo, Andrea Guatumillo Saltos, Yese\~na Tipan Llumiquinga, Kelly Lascano Aguirre, Marilyn Castillo Jara, Christian Mejia-Escobar
https://arxiv.org/abs/2510.02653

Geolog-IA: Conversational System for Academic Theses
This study presents the development of Geolog-IA, a novel conversational system based on artificial intelligence that responds naturally to questions about geology theses from the Central University of Ecuador. Our proposal uses the Llama 3.1 and Gemini 2.5 language models, which are complemented by a Retrieval Augmented Generation (RAG) architecture and an SQLite database. This strategy allows us to overcome problems such as hallucinations and outdated knowledge. The evaluation of Geolog-IA's …

Sparsity, Stress-Independence and Globally Linked Pairs in Graph Rigidity Theory
D\'aniel Garamv\"olgyi, Bill Jackson, Tibor Jord\'an
https://arxiv.org/abs/2509.03150

Sparsity, Stress-Independence and Globally Linked Pairs in Graph Rigidity Theory
A graph is $\mathcal{R}_d$-independent (resp. $\mathcal{R}_d$-connected) if its $d$-dimensional generic rigidity matroid is free (resp. connected). A result of Maxwell from 1867 implies that every $\mathcal{R}_d$-independent graph satisfies the sparsity condition $|E(H)|\leq d|V(H)|-\binom{d+1}{2}$ for all subgraphs $H$ with at least $d+1$ vertices. Several other families of graphs $G$ arising naturally in rigidity theory, such as minimally globally $d$-rigid graphs, are kno…

🚬 Manipulating the body's endocannabinoid receptor may result in neuropsychiatric issues
https://medicalxpress.com/news/2025-09-body-endocannabinoid-receptor-result-neuropsychiatric.html

Manipulating the body's endocannabinoid receptor may result in neuropsychiatric issues
Endocannabinoids are similar to the cannabinoids present in cannabis, but they are found naturally in the body. Endocannabinoids—and cannabinoids—work through a signaling system that supports neurodevelopment, but whether manipulating this system prenatally has long-lasting effects remains unclear.

Tropical geometry in torus bundles
Emily Dodwell
https://arxiv.org/abs/2509.02569 https://arxiv.org/pdf/2509.02569

Tropical geometry in torus bundles
We formulate and prove an analogue of the balancing condition for the tropicalization of a curve in a torus bundle $X$. We find that the usual balancing condition fails when the bundle is non-trivial and that the failure is captured by the first Chern classes of the line bundles associated to $X$. We discuss a geometric perspective of tropicalization where the weights arise naturally from intersection theory. The relations between divisors on a toric variety bundle put constraints on these weig…

Giant and robust Josephson diode effect in multiband topological nanowires
Bao-Zong Wang, Zi-Kai Li, Zhong-Da Li, Xiong-Jun Liu
https://arxiv.org/abs/2510.05772 https://

Giant and robust Josephson diode effect in multiband topological nanowires
We theoretically predict the giant and robust Josephson diode effect in quasi-one-dimensional topological Majorana nanowires in the regime with multiple subbands, which is expected to be relevant for the real experiment. In the multiband regime, the Majorana bound states and conventional Andreev bound states can naturally coexist, and respectively contribute to the fractional and conventional parts in the Josephson effect, with the former/latter having 4$π$/2$π$-periodicity. We show that the …

The Real Weight Loss Coach
I'm Matty Lansdown – scientist, nutritionist, and emotional eating specialist, here to help you lose weight naturally, stop emotional eating, heal your metabolism, and fix your relationship with food…
Great Australian Pods Podcast Directory: https://www.greataustral…

Field observation of soliton gases in the deep open ocean
Yu-Chen Lee, Sander Wahls
https://arxiv.org/abs/2510.04662 https://arxiv.org/pdf/2510.04662

Field observation of soliton gases in the deep open ocean
Soliton gases are large ensembles of random solitons with distinct characteristics arising from integrable system dynamics. They have been widely studied in theory and experiments, and were observed in natural lagoons. However, it remains an open question whether they occur naturally in the open ocean. Nonlinear ocean states containing solitons have been observed in the literature, but the dominance of solitons over other wave components required for a soliton gas has not been demonstrated. Our…

AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions
Yutong Lin, Suyuan Liu, Kaiwen Guo, Haohua Du, Chao Liu, Xiang-Yang Li
https://arxiv.org/abs/2509.01414

AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions
In the mobile internet era, managing limited attention amid information overload is crucial for enhancing collaboration and information delivery. However, current attention-aware systems often depend on wearables or personalized data, limiting their scalability and cross-context adaptability. Inspired by psychological theories, we attempt to treat mobile notifications as naturally occurring external distractions and infer users' attention states based on their response behaviors and contextual …

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai
https://arxiv.org/abs/2509.03187

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
We propose a general model-agnostic Contrastive learning framework with Counterfactual Samples Synthesizing (CCSS) for modeling the monotonicity between the neural network output and numerical features which is critical for interpretability and effectiveness of recommender systems. CCSS models the monotonicity via a two-stage process: synthesizing counterfactual samples and contrasting the counterfactual samples. The two techniques are naturally integrated into a model-agnostic framework, formi…

Engineering Confining Dilatons: A WKB Inverse Problem in Holographic QCD
Miguel Angel Martin Contreras, Alfredo Vega
https://arxiv.org/abs/2509.04956 https://

Engineering Confining Dilatons: A WKB Inverse Problem in Holographic QCD
This work presents a WKB-based inverse problem approach within the framework of holographic bottom-up QCD to engineer confining dilatons from hadronic mass spectra. Starting from a general parameterization of nonlinear radial Regge trajectories, $M_n^2=a(n+b)^ν$, we apply the Rydberg-Klein-Rees (RKR) formula to derive the large-z behavior of the corresponding holographic confining potential. This potential is inversely related to the dilaton field profile, leading naturally to a non-quadratic …

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…

Singularity resolution in the backreacted Schwarzschild geometry from 2D matter with negative central charge
F. J. Mara\~n\'on-Gonz\'alez, A. del R\'io, J. Navarro-Salas
https://arxiv.org/abs/2510.02447

Singularity resolution in the backreacted Schwarzschild geometry from 2D matter with negative central charge
Two-dimensional dilaton gravity provides a valuable framework to study the dynamics of quantum black holes. These models are often coupled to conformal scalar fields, which capture essential quantum effects such as the trace anomaly, while remaining analytically tractable. From the viewpoint of two-dimensional quantum field theory, unitary theories require a positive central charge. However, theories with a total negative central charge naturally arise from the contribution of the Faddeev-Popov…

Reentrant superconductivity and superconductor-to-insulator transition in a naturally occurring Josephson junction array tuned by RF power
S. Avraham, S. Sankar, S. Sandik, A. Burshtein, M. Goldstein, E. Sela, Y. Dagan
https://arxiv.org/abs/2509.02063

Reentrant superconductivity and superconductor-to-insulator transition in a naturally occurring Josephson junction array tuned by RF power
Superconductivity, characterized by dissipationless current flow with flux expulsion or quantization, is usually muted when the magnetic field or the temperature is sufficiently high. However, in rare instances, superconductivity can reappear upon increasing the temperature or magnetic field, a phenomenon known as reentrant superconductivity. It usually emerges from competing orders in strongly correlated materials. Here we demonstrate reentrant superconductivity as a function of both temperatu…

Learning to Reason for Hallucination Span Detection
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
https://arxiv.org/abs/2510.02173

Learning to Reason for Hallucination Span Detection
Large language models (LLMs) often generate hallucinations -- unsupported content that undermines reliability. While most prior works frame hallucination detection as a binary task, many real-world applications require identifying hallucinated spans, which is a multi-step decision making process. This naturally raises the question of whether explicit reasoning can help the complex task of detecting hallucination spans. To answer this question, we first evaluate pretrained models with and withou…

Hardware-Aware Data and Instruction Mapping for AI Tasks: Balancing Parallelism, I/O and Memory Tradeoffs
Md Rownak Hossain Chowdhury, Mostafizur Rahman
https://arxiv.org/abs/2509.03846

Hardware-Aware Data and Instruction Mapping for AI Tasks: Balancing Parallelism, I/O and Memory Tradeoffs
We introduce a mapping framework for deep learning inference that takes advantage of predictable neural network behavior to plan both computation and communication ahead of time. The framework generates a unified stream of instructions and data, enabling the hardware to execute operations and route information on its own, without frequent involvement from the host and with minimal off-chip memory use. This naturally reduces reliance on I/O, off-chip memory, and host control. By leveraging fine-…

New Junction Condition and Casimir effect for Network CFT
Sinan Pang, Ling Li, Tian-Ming Zhao, Rong-Xin Miao
https://arxiv.org/abs/2510.03080 https://arxiv…

New Junction Condition and Casimir effect for Network CFT
Recently, BCFT and ICFT have been generalized to the CFT on networks (NCFT). A key aspect of NCFT is how we connect the CFTs in different edges at the nodes of the network. For a free scalar field, one naturally requires that the scalar fields are continuous at the nodes. In this paper, we introduce a new junction condition that instead requires the normal derivative of the scalar field to be continuous at the node. We demonstrate that this new junction condition is consistent with the variatio…

Coupling a $^{73}$Ge nuclear spin to an electrostatically defined quantum dot
Paul Steinacker, Gauri Goenka, Rocky Yue Su, Tuomo Tanttu, Wee Han Lim, Santiago Serrano, Tim Botzem, Jesus D. Cifuentes, Shao Qi Lim, Jeffrey C. McCallum, Brett C. Johnson, Fay E. Hudson, Kok Wai Chan, Christopher C. Escott, Andre Saraiva, Chih Hwan Yang, Vincent Mourik, Andrea Morello, Andrew S. Dzurak, Arne Laucht

Coupling a $^{73}$Ge nuclear spin to an electrostatically defined quantum dot
Single nuclear spins in silicon are a promising resource for quantum technologies due to their long coherence times and excellent control fidelities. Qubits and qudits have been encoded on donor nuclei, with successful demonstrations of Bell states and quantum memories on the spin-1/2 $^{31}$P and cat-qubits on the spin-7/2 $^{123}$Sb nuclei. Isoelectronic nuclear spins coupled to gate-defined quantum dots, such as the naturally occurring $^{29}$Si isotope, possess no additional charge and allo…

MultiModal Action Conditioned Video Generation
Yichen Li, Antonio Torralba
https://arxiv.org/abs/2510.02287 https://arxiv.org/pdf/2510.02287

MultiModal Action Conditioned Video Generation
Current video models fail as world model as they lack fine-graiend control. General-purpose household robots require real-time fine motor control to handle delicate tasks and urgent situations. In this work, we introduce fine-grained multimodal actions to capture such precise control. We consider senses of proprioception, kinesthesia, force haptics, and muscle activation. Such multimodal senses naturally enables fine-grained interactions that are difficult to simulate with text-conditioned gene…

DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
Hanyang Zhao, Dawen Liang, Wenpin Tang, David Yao, Nathan Kallus
https://arxiv.org/abs/2510.02212

DiFFPO: Training Diffusion LLMs to Reason Fast and Furious via Reinforcement Learning
We propose DiFFPO, Diffusion Fast and Furious Policy Optimization, a unified framework for training masked diffusion large language models (dLLMs) to reason not only better (furious), but also faster via reinforcement learning (RL). We first unify the existing baseline approach such as d1 by proposing to train surrogate policies via off-policy RL, whose likelihood is much more tractable as an approximation to the true dLLM policy. This naturally motivates a more accurate and informative two-sta…

Scalable Quantum Optimisation using HADOF: Hamiltonian Auto-Decomposition Optimisation Framework
Namasi G Sankar, Georgios Miliotis, Simon Caton
https://arxiv.org/abs/2510.02926

Scalable Quantum Optimisation using HADOF: Hamiltonian Auto-Decomposition Optimisation Framework
Quantum Annealing (QA) and QAOA are promising quantum optimisation algorithms used for finding approximate solutions to combinatorial problems on near-term NISQ systems. Many NP-hard problems can be reformulated as Quadratic Unconstrained Binary Optimisation (QUBO), which maps naturally onto quantum Hamiltonians. However, the limited qubit counts of current NISQ devices restrict practical deployment of such algorithms. In this study, we present the Hamiltonian Auto-Decomposition Optimisation Fr…

Flavor Imprints on Novel Low Mass Dark Matter
Ranjeet Kumar, Hemant Kumar Prajapati, Rahul Srivastava, Sushant Yadav
https://arxiv.org/abs/2510.02972 https://

Flavor Imprints on Novel Low Mass Dark Matter
We present a Majorana scotogenic-like loop framework in which neutrino mass generation and dark matter stability are intrinsically connected to the breaking of the discrete flavor symmetry $A_4$. This breaking leads to the emergence of the scoto-seesaw mechanism and a $Z_2$ symmetry. This naturally explains the solar and atmospheric mass-squared differences, $Δm_{sol}^{2}$ and $Δm_{atm}^{2}$, while simultaneously ensuring dark matter stability. Our model accommodates normal ordering of neutri…

Fermion Parity Resolution of Entanglement
Christian Northe
https://arxiv.org/abs/2509.03605 https://arxiv.org/pdf/2509.03605…

Fermion Parity Resolution of Entanglement
Entanglement is analyzed in the Majorana fermion conformal field theory (CFT) in the vacuum, in the fermion state, and in states built from conformal interfaces. In the boundary-state approach, Hilbert space admits two factorizations for a single interval, producing distinct entanglement spectra determined by spin structures. Although Rényi and relative entropiesare shown to be insensitive to these structures, symmetry-resolved entanglement naturally reveals their differences. The Majorana fer…

Exceptional Points, Lasing, and Coherent Perfect Absorption in Floquet Scattering Systems
David Globosits, Puneet Garg, Jakob H\"upfl, Adri\`a Can\'os Valero, Thomas Weiss, Carsten Rockstuhl, Stefan Rotter
https://arxiv.org/abs/2510.03133

Exceptional Points, Lasing, and Coherent Perfect Absorption in Floquet Scattering Systems
Periodically time-varying media, known as photonic time crystals (PTCs), provide a promising platform for observing unconventional wave phenomena. We analyze the scattering of electromagnetic waves from spatially finite PTCs using the multispectral Floquet scattering matrix, which naturally incorporates the frequency-mixing processes intrinsic to such systems. For dispersionless, real, and time-periodic permittivities, this matrix is pseudounitary. Here we demonstrate that this property leads t…

Critical Quantum Sensing: a tutorial on parameter estimation near quantum phase transitions
George Mihailescu, Uesli Alushi, Roberto Di Candia, Simone Felicetti, Karol Gietka
https://arxiv.org/abs/2510.02035

Critical Quantum Sensing: a tutorial on parameter estimation near quantum phase transitions
Quantum phenomena offer the possibility of measuring physical quantities with precision beyond classical limits. However, current progress is constrained by scalability, environmental noise, and challenges in practical integration. This highlights the necessity for novel approaches. An emerging paradigm in this direction is \emph{critical quantum metrology} -- which harnesses the enhanced susceptibility and nonclassical correlations naturally occurring near quantum phase transitions as resource…