Tootfinder

This https://arxiv.org/abs/2411.04999 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation
Significant progress has been made in open-vocabulary mobile manipulation, where the goal is for a robot to perform tasks in any environment given a natural language description. However, most current systems assume a static environment, which limits the system's applicability in real-world scenarios where environments frequently change due to human intervention or the robot's own actions. In this work, we present DynaMem, a new approach to open-world mobile manipulation that uses a dynamic spa…

This https://arxiv.org/abs/2502.02432 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Some topological genera and Jacobi forms
We revisit and elucidate the $\widehat{A}$-genus, Hirzebruch's $L$-genus and Witten's $W$-genus, cobordism invariants of special classes of manifolds. After slight modification, involving Hecke's trick, we find that the $\widehat{A}$-genus and $L$-genus arise directly from Jacobi's theta function. For every $k\geq 0,$ we obtain exact formulas for the quasimodular expressions of $\widehat{A}_k$ and $L_k$ as ``traces'' of partition Eisenstein series \[ \widehat{\mathcal{A}}_k(τ)= \operatorname{T…

This https://arxiv.org/abs/2412.08436 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On Poincaré polynomials for plane curves with quasi-homogeneous singularities
We define a combinatorial object that can be associated with any conic-line arrangement with ordinary singularities, which we call the combinatorial Poincaré polynomial. We prove a Terao-type factorization statement on the splitting of such a polynomial over the rationals under the assumption that our conic-line arrangements are free and admit ordinary quasi-homogeneous singularities. Then we focus on the so-called $d$-arrangements in the plane. In particular, we provide a combinatorial constr…

This https://arxiv.org/abs/2505.16091 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

OSCAR: One-Step Diffusion Codec Across Multiple Bit-rates
Pretrained latent diffusion models have shown strong potential for lossy image compression, owing to their powerful generative priors. Most existing diffusion-based methods reconstruct images by iteratively denoising from random noise, guided by compressed latent representations. While these approaches have achieved high reconstruction quality, their multi-step sampling process incurs substantial computational overhead. Moreover, they typically require training separate models for different com…

This https://arxiv.org/abs/2403.08929 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
To address efficiency and design challenges in choice-based matching platforms, we introduce a two-sided assortment optimization framework under general choice preferences. The goal in this problem is to maximize the expected number of matches by deciding which assortments are displayed to the agents and the order in which they are shown. In this context, we identify several classes of policies that platforms can use in their design. Our goals are: (1) to measure the value that one class of pol…

This https://arxiv.org/abs/2505.22299 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Logical Consistency is Vital: Neural-Symbolic Information Retrieval for Negative-Constraint Queries
Information retrieval plays a crucial role in resource localization. Current dense retrievers retrieve the relevant documents within a corpus via embedding similarities, which compute similarities between dense vectors mainly depending on word co-occurrence between queries and documents, but overlook the real query intents. Thus, they often retrieve numerous irrelevant documents. Particularly in the scenarios of complex queries such as \emph{negative-constraint queries}, their retrieval perfo…

This https://arxiv.org/abs/2505.02488 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Limits over orbit categories of locally finite groups
We correct an error in the paper [BLO3], and take the opportunity to examine in more detail the derived functors of inverse limits over orbit categories of (infinite) locally finite groups. The main results show how to reduce this in many cases to limits over orbit categories of finite groups, but we also look at generalizations of the Lyndon-Hochschild-Serre spectral sequence for higher limits over orbit categories for an extension of locally finite groups.

This https://arxiv.org/abs/2410.03874 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A differentiable N-body code for transit timing and dynamical modelling -- II. Photodynamics
Exoplanet transits contain substantial information about the architecture of a system. By fitting transit light curves we can extract dynamical parameters and place constraints on the properties of the planets and their host star. Having a well-defined probabilistic model plays a crucial role in making robust measurements of these parameters, and the ability to differentiate the model provides access to more robust inference tools. Gradient-based inference methods can allow for more rapid and a…

[2025-05-30 Fri (UTC), 1 new article found for q-fin.TR Trading and Market Microstructure]
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Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side
Truong (Jack), Luu, Binny M. Samuel
https://arxiv.org/abs/2505.23733 http…

Exposing the Impact of GenAI for Cybercrime: An Investigation into the Dark Side
In recent years, the rapid advancement and democratization of generative AI models have sparked significant debate over safety, ethical risks, and dual-use concerns, particularly in the context of cybersecurity. While anecdotally known, this paper provides empirical evidence regarding generative AI's association with malicious internet-related activities and cybercrime by examining the phenomenon through psychological frameworks of technological amplification and affordance theory. Using a quas…

This https://arxiv.org/abs/2411.11594 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Interval Multiplicities of Persistence Modules
For any persistence module $M$ over a finite poset $\mathbf{P}$, and any interval $I$ in $\mathbf{P}$, we give a formula of the multiplicity $d_M(V_I)$ of the interval module $V_I$ in the indecomposable decomposition of $M$ in terms of the ranks of matrices consisting of structure linear maps of the module $M$, which gives a generalization of the corresponding formula for 1-dimensional persistence modules. This makes it possible to compute the maximal interval-decomposable direct summand of $M$…

This https://arxiv.org/abs/2305.13054 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Fluid limits for interacting queues in sparse dynamic graphs
Consider a network of $n$ single-server queues where tasks arrive independently at each server at rate $λ_n$. The servers are connected by a graph that is resampled at rate $μ_n$ in a way that is symmetric with respect to the servers, and each task is dispatched to the shortest queue in the graph neighborhood where it appears. We aim to gain insight in the impact of the dynamic network structure on the load balancing dynamics in terms of the occupancy process which describes the empirical dis…

This https://arxiv.org/abs/2410.02835 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
We revisit the recently introduced Local Glivenko-Cantelli setting, which studies distribution-dependent uniform convergence rates of the Empirical Mean Estimator (EME). In this work, we investigate generalizations of this setting where arbitrary estimators are allowed rather than just the EME. Can a strictly larger class of measures be learned? Can better risk decay rates be obtained? We provide exhaustive answers to these questions, which are both negative, provided the learner is barred from…

This https://arxiv.org/abs/2412.10066 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Non-Ground Congruence Closure
Congruence closure on ground equations is a well-established and efficient algorithm for deciding ground equalities. It constructs an explicit representation of ground equivalence classes based on a given set of input equations, allowing ground equalities to be decided by membership. In many applications, these ground equations originate from grounding non-ground equations. We propose an algorithm that directly computes a non-ground representation of ground congruence classes for non-ground e…

[2025-05-30 Fri (UTC), 2 new articles found for q-bio.BM Biomolecules]
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[2025-05-30 Fri (UTC), 1 new article found for math.SG Symplectic Geometry]
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Self-orthogonalizing attractor neural networks emerging from the free energy principle
Tamas Spisak, Karl Friston
https://arxiv.org/abs/2505.22749 https://…

Self-orthogonalizing attractor neural networks emerging from the free energy principle
Attractor dynamics are a hallmark of many complex systems, including the brain. Understanding how such self-organizing dynamics emerge from first principles is crucial for advancing our understanding of neuronal computations and the design of artificial intelligence systems. Here we formalize how attractor networks emerge from the free energy principle applied to a universal partitioning of random dynamical systems. Our approach obviates the need for explicitly imposed learning and inference ru…

This https://arxiv.org/abs/2505.22094 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning
We propose ReinFlow, a simple yet effective online reinforcement learning (RL) framework that fine-tunes a family of flow matching policies for continuous robotic control. Derived from rigorous RL theory, ReinFlow injects learnable noise into a flow policy's deterministic path, converting the flow into a discrete-time Markov Process for exact and straightforward likelihood computation. This conversion facilitates exploration and ensures training stability, enabling ReinFlow to fine-tune diverse…

Rigidity and functional properties of $\mathrm{BD}_{dev}(\Omega)$
Marco Caroccia, Nicolas Van Goethem
https://arxiv.org/abs/2505.23348 https://

Rigidity and functional properties of $\mathrm{BD}_{dev}(Ω)$
We provide a structural analysis of the space of functions of bounded deviatoric deformation, $\mathrm{BD}_{dev}$, which arises in models of plasticity and fluid mechanics. The main result is the identification of the annihilator and a rigidity theorem for $\mathrm{BD}_{dev}$-maps with constant polar vector in the wave cone characterizing the structure of singularities for such maps. This result, together with an explicit kernel projection operator, enables an iterative blow-up procedure for re…

Frictional Contact Network in Dense Suspension Flow
Shweta Sharma, Abhishek Sharma, Abhinendra Singh
https://arxiv.org/abs/2505.22747 https://

Frictional Contact Network in Dense Suspension Flow
Dense particulate suspensions often exhibit a dramatic increase in viscosity in response to external deformation. This shear thickening behavior has been related to a transition from lubricated, unconstrained pairwise motion to a frictional contact network (FCN) at high stresses. Here, we study the characteristics of the FCN formed during shear thickening to investigate the role of constraints, emphasizing the impact of resistance to gear-like rolling. We contrast the FCN formed by sliding fric…

This https://arxiv.org/abs/2403.08929 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
To address efficiency and design challenges in choice-based matching platforms, we introduce a two-sided assortment optimization framework under general choice preferences. The goal in this problem is to maximize the expected number of matches by deciding which assortments are displayed to the agents and the order in which they are shown. In this context, we identify several classes of policies that platforms can use in their design. Our goals are: (1) to measure the value that one class of pol…

This https://arxiv.org/abs/2504.00744 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Spatiotemporal Synchronization of Distributed Arrays using Particle-Based Loopy Belief Propagation
Sensing and imaging with distributed radio infrastructures (e.g., distributed MIMO, wireless sensor networks, multistatic radar) rely on knowledge of the positions, orientations, and clock parameters of distributed apertures. We extend a particle-based loopy belief propagation (BP) algorithm to cooperatively synchronize distributed agents to anchors in space and time. Substituting marginalization over nuisance parameters with approximate but closed-form concentration, we derive an efficient est…

This https://arxiv.org/abs/2505.20720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…

This https://arxiv.org/abs/2403.15001 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Torsion pairs in categories of modules on ringed finite sites
Let $\mathcal{C}$ be a small category. In this paper, we mainly study the category of modules $\mathfrak{M}\mbox{od-}\mathfrak{R}$ on ringed sites $(\mathbf{C},\mathfrak{R})$. We firstly reprove the Theorem A of the paper (M. Wu and F. Xu. Skew category algebras and modules on ringed finite sites. J. A. 631, 2023), then we characterize $\mathfrak{M}\mbox{od-}\mathfrak{R}$ in terms of the torsion modules on $Gr(\mathfrak{R})$, where $Gr(\mathfrak{R})$ is the linear Grothendieck construction of $…

Charting circumstellar chemistry of carbon-rich asymptotic giant branch stars. II. Abundances and spatial distributions of CS
R. Unnikrishnan, M. Andriantsaralaza, E. De Beck, L. -{\AA}. Nyman, H. Olofsson, W. H. T. Vlemmings, M. Maercker, M. Van de Sande, T. Danilovich, T. J. Millar, S. B. Charnley, M. G. Rawlings
https://arxiv…

Charting circumstellar chemistry of carbon-rich asymptotic giant branch stars. II. Abundances and spatial distributions of CS
The circumstellar envelopes (CSEs) of asymptotic giant branch (AGB) stars harbour a rich variety of molecules and are sites of complex chemistry. Our current understanding of the circumstellar chemical processes of carbon-rich AGB stars is predominantly based on observations of a single star, IRC+10216, often regarded as an archetypical carbon star. We aim to estimate stellar and circumstellar properties for five carbon stars, and constrain their circumstellar CS abundances. This study compares…

This https://arxiv.org/abs/2308.14124 has been replaced.
link: https://scholar.google.com/scholar?q=a

The APX-hardness of the Traveling Tournament Problem
The Traveling Tournament Problem (TTP-$k$) is a well-known benchmark problem in sports scheduling, which asks us to design a double round-robin schedule such that each pair of teams plays one game in each other's home venue, no pair of teams plays each other on two consecutive days, each team plays at most $k$ consecutive home games or away games, and the total traveling distance of all the $n$ teams is minimized. TTP-$k$ allows a polynomial-time approximation scheme when $k=2$ and becomes APX-…

This https://arxiv.org/abs/2303.00847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Analysis of Four-Dimensional Variational Data Assimilation Problems in Low Regularity Spaces
We carry out a rigorous analysis of four-dimensional variational data assimilation ($4D$-VAR) problems for linear and semilinear parabolic partial differential equations. Continuity of the state with respect to the spatial variable is required since pointwise observations of the state variable appear in the cost functional. Using maximal parabolic regularity tools, we prove this regularity for initial conditions with $L^β$-regularity guaranteed by control constraints, rather than Sobolev regul…

An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
Jiahao Yang, Ran Fang, Ming Zhang, Jun Zhou
https://arxiv.org/abs/2505.22678

An Efficient deep learning model to Predict Stock Price Movement Based on Limit Order Book
In high-frequency trading (HFT), leveraging limit order books (LOB) to model stock price movements is crucial for achieving profitable outcomes. However, this task is challenging due to the high-dimensional and volatile nature of the original data. Even recent deep learning models often struggle to capture price movement patterns effectively, particularly without well-designed features. We observed that raw LOB data exhibits inherent symmetry between the ask and bid sides, and the bid-ask diffe…

Positive curvature and rational ellipticity in cohomogeneity three
Elahe Khalili Samani, Marco Radeschi
https://arxiv.org/abs/2505.22577 https://

Positive curvature and rational ellipticity in cohomogeneity three
We prove that a closed, simply connected, positively curved, cohomogeneity-three manifold whose quotient space has no boundary is rationally elliptic, thus providing a generalization of similar results regarding rational ellipticity of homogeneous, cohomogeneity-one, and almost non-negatively curved cohomogeneity-two manifolds.

This https://arxiv.org/abs/2505.21246 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Physics Computational Literacy: Programming, modeling and collaboration at the journeyman level
Computation has become an integral part of physics research. However, little is known about how students learn to productively use computation as a tool beyond the introductory level, especially as they transition into physics research. In this study, we apply the theory of Physics Computational Literacy and the Novice-Expert framework to describe the development of expertise in computational physics, as students transition from novice to journeymen computational physicists. We base this descri…

Scrapers selectively respect robots.txt directives: evidence from a large-scale empirical study
Taein Kim, Karstan Bock, Claire Luo, Amanda Liswood, Emily Wenger
https://arxiv.org/abs/2505.21733

Scrapers selectively respect robots.txt directives: evidence from a large-scale empirical study
Online data scraping has taken on new dimensions in recent years, as traditional scrapers have been joined by new AI-specific bots. To counteract unwanted scraping, many sites use tools like the Robots Exclusion Protocol (REP), which places a robots.txt file at the site root to dictate scraper behavior. Yet, the efficacy of the REP is not well-understood. Anecdotal evidence suggests some bots comply poorly with it, but no rigorous study exists to support (or refute) this claim. To understand th…

[2025-05-29 Thu (UTC), 3 new articles found for math.MG Metric Geometry]
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Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
Jiawei Fu, Donald P. Green
https://arxiv.org/abs/2505.21909

Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis
How should we analyze randomized experiments in which the main outcome is measured in multiple ways and each measure contains some degree of error? Since Costner (1971) and Bagozzi (1977), methodological discussions of experiments with latent outcomes have reviewed the modeling assumptions that are invoked when the quantity of interest is the average treatment effect (ATE) of a randomized intervention on a latent outcome that is measured with error. Many authors have proposed methods to estimat…

Representing local protein environments with atomistic foundation models
Meital Bojan, Sanketh Vedula, Advaith Maddipatla, Nadav Bojan Sellam, Federico Napoli, Paul Schanda, Alex M. Bronstein
https://arxiv.org/abs/2505.23354

Representing local protein environments with atomistic foundation models
The local structure of a protein strongly impacts its function and interactions with other molecules. Therefore, a concise, informative representation of a local protein environment is essential for modeling and designing proteins and biomolecular interactions. However, these environments' extensive structural and chemical variability makes them challenging to model, and such representations remain under-explored. In this work, we propose a novel representation for a local protein environment d…

A Homotopical Invariant of Weinstein Surfaces
Shanon J. Rubin
https://arxiv.org/abs/2505.23377 https://arxiv.org/pdf/2505.23377

A Homotopical Invariant of Weinstein Surfaces
One generally expects that the techniques of arboreal singularities and gluing of local differential graded categories will result in a useful global invariant for all Weinstein manifolds. In this paper we construct explicit models for the homotopy limits of diagrams of microlocal sheaf categories which arise from Weinstein surfaces with arboreal skeleta. This is done by characterizing all relevant Reedy model structures on the categories of diagrams that we care about. We prove invariance usin…

This https://arxiv.org/abs/2412.09107 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Divisibility of the Multiplicative Order Modulo Monic Irreducible Polynomials Over Finite Fields
We consider the set of monic irreducible polynomials $P$ over a finite field $\mathbb{F}_q$ such that the multiplicative order modulo $P$ of some a in $\mathbb{F}_q(T)$ is divisible by a fixed positive integer $d$. Call $R_q(a,d)$ this set. We show the existence or non-existence of the density of $R_q(a,d)$ for three distinct notions of density. In particular, the sets $R_q(a,d)$ have a Dirichlet density. Under some assumptions, we prove simple formulas for the density values.

Homology of Rook-Brauer Algebras and Motzkin Algebras
Khoa Ta
https://arxiv.org/abs/2505.21977 https://arxiv.org/pdf/2505.21977

Homology of Rook-Brauer Algebras and Motzkin Algebras
Using the technique of inductive resolution introduced in arXiv:2303.07979, we prove that the homology of Rook-Brauer Algebra, interpreted as appropriate Tor-group, is isomorphic to that of symmetric group for all degrees under the assumption that $ε$ in $R$ is invertible; furthermore, we also prove the homology of the Motzkin algebras vanishes in positive degrees under the same assumption. These results thereby establish homological stability of both algebras.

Wow, what a weird rabbit-hole I just ended up down.
So, the “Spread Mastodon" page (tutorial?) recommends a cool-sounding browser extension as an alternative to all those constantly-dead 'fedifinder' / Twitter-person-looker-upper-tools: the ‘Whosum Social Assistant' browser extension.
Sounds cool! Sounds like the correct solution to this problem!

This https://arxiv.org/abs/2303.00847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Analysis of Four-Dimensional Variational Data Assimilation Problems in Low Regularity Spaces
We carry out a rigorous analysis of four-dimensional variational data assimilation ($4D$-VAR) problems for linear and semilinear parabolic partial differential equations. Continuity of the state with respect to the spatial variable is required since pointwise observations of the state variable appear in the cost functional. Using maximal parabolic regularity tools, we prove this regularity for initial conditions with $L^β$-regularity guaranteed by control constraints, rather than Sobolev regul…

After the #COS statement on #OpenScience as a reaction to the US crap I'm surprised that they still have a Diversity Equity and Inclusion page up on their website.
Can't say I'm surprised but I'm still disappointed I suppose..

LazyVLM: Neuro-Symbolic Approach to Video Analytics
Xiangru Jian, Wei Pang, Zhengyuan Dong, Chao Zhang, M. Tamer \"Ozsu
https://arxiv.org/abs/2505.21459

LazyVLM: Neuro-Symbolic Approach to Video Analytics
Current video analytics approaches face a fundamental trade-off between flexibility and efficiency. End-to-end Vision Language Models (VLMs) often struggle with long-context processing and incur high computational costs, while neural-symbolic methods depend heavily on manual labeling and rigid rule design. In this paper, we introduce LazyVLM, a neuro-symbolic video analytics system that provides a user-friendly query interface similar to VLMs, while addressing their scalability limitation. Lazy…

This https://arxiv.org/abs/2504.00847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

From learnable objects to learnable random objects
We consider the relationship between learnability of a "base class" of functions on a set $X$, and learnability of a class of statistical functions derived from the base class. For example, we refine results showing that learnability of a family $h_p: p \in Y$ of functions implies learnability of the family of functions $h_μ=λp: Y. E_μ(h_p)$, where $E_μ$ is the expectation with respect to $μ$, and $μ$ ranges over probability distributions on $X$. We will look at both Probably Approximatel…

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback
Rex Chen, Karen Wu, John McCartney, Norman Sadeh, Fei Fang
https://arxiv.org/abs/2505.21349

Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback
How can a traffic simulation be designed to faithfully reflect real-world traffic conditions? Past data-driven approaches to traffic simulation in the literature have relied on unrealistic or suboptimal heuristics. They also fail to adequately account for the effects of uncertainty and multimodality in the data on simulation outcomes. In this work, we integrate advances in AI to construct a three-step, end-to-end pipeline for generating a traffic simulation from detector data: computer vision f…

This https://arxiv.org/abs/2502.09008 has been replaced.
initial toot: https://mastoxiv.page/@…

Dynamics of the Bose-Hubbard Model Induced by On-Site or Long-Range Two-Body Losses
We present a theoretical study of the dissipative dynamics of the Bose-Hubbard model induced by on-site or long-range two-body losses. We first consider the one-dimensional chain and the two-dimensional square lattice, and study the dynamics induced by the sudden switch-on of two-body losses on a weakly-interacting superfluid state. The time-dependent density is obtained in the spirit of the Bogolyubov approach by calculating theoretically the equations of motion associated to the relevant quad…

This https://arxiv.org/abs/2505.20720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…

[2025-05-28 Wed (UTC), 12 new articles found for cs.GR Graphics]
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[2025-05-28 Wed (UTC), 5 new articles found for econ.TH Theoretical Economics]
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PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
Pawan Neupane, Jian Liu, Jianlin Cheng
https://arxiv.org/abs/2505.22674

PSBench: a large-scale benchmark for estimating the accuracy of protein complex structural models
Predicting protein complex structures is essential for protein function analysis, protein design, and drug discovery. While AI methods like AlphaFold can predict accurate structural models for many protein complexes, reliably estimating the quality of these predicted models (estimation of model accuracy, or EMA) for model ranking and selection remains a major challenge. A key barrier to developing effective machine learning-based EMA methods is the lack of large, diverse, and well-annotated dat…

On the Role of Demagnetizing Tensors in Arbitrary Orientations of General Ellipsoid: Implications for MRI Safety Assessment
Tomppa Pakarinen
https://arxiv.org/abs/2505.21761

On the Role of Demagnetizing Tensors in Arbitrary Orientations of General Ellipsoid: Implications for MRI Safety Assessment
This work explores the behaviour of demagnetizing tensors for general ellipsoids under arbitrary rotations in homogeneous magnetic fields. The work is motivated by the concerns in magnetic resonance imaging safety and their practical evaluation in clinical environments. Whereas demagnetizing tensor is a well-defined concept in the principal axes, its transformation under three-dimensional reorientation is often overlooked - a justifiable omission for solutions derived from Poisson equation, whe…

[2025-05-29 Thu (UTC), 7 new articles found for astro-ph.EP Earth and Planetary Astrophysics]
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Today is the 30th anniversary of the launch of the first wiki by Ward Cunningham. A page that anyone could edit. Right from the browser. It was generally seen as a bad idea. What if people did bad things?
Originally to support the software development community in creating a repository of software design patterns, wikis were later used for many other goals (even an encyclopedia!), and became part of Web 2.0, together with blogs, fora and social media.
Thank you,

[2025-05-28 Wed (UTC), no new articles found for q-fin.GN General Finance]
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Soliton resolution for the coupled complex short pulse equation
Nan Liu, Ran Wang
https://arxiv.org/abs/2505.22210 https://arxiv.org/…

Soliton resolution for the coupled complex short pulse equation
We address the long-time asymptotics of the solution to the Cauchy problem of ccSP (coupled complex short pulse) equation on the line for decaying initial data that can support solitons. The ccSP system describes ultra-short pulse propagation in optical fibers, which is a completely integrable system and posses a $4\times4$ matrix Wadati--Konno--Ichikawa type Lax pair. Based on the $\bar{\partial}$-generalization of the Deift--Zhou steepest descent method, we obtain the long-time asymptotic app…

[2025-05-27 Tue (UTC), no new articles found for cs.PF Performance]
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Viewing large language models as compression machines helps explain why they seem at turns big-brained and pea-brained. To learn more, join me for Honey, AI Shrunk the Archive, an IEEE/UMaine AI webinar next Thursday 3 April at noon Eastern
https://ai.umaine.edu/webinars

[2025-05-29 Thu (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
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Translation of Enterprise Architecture Concept to Facilitate Digital Transformation Initiatives in Vietnam: Processes, Mechanisms and Impacts
Duong Dang, Quang Bui
https://arxiv.org/abs/2505.20247

Translation of Enterprise Architecture Concept to Facilitate Digital Transformation Initiatives in Vietnam: Processes, Mechanisms and Impacts
Governments around the world have increasingly adopted digital transformation (DT) initiatives to increase their strategic competitiveness in the global market. To support successful DT, governments have to introduce new governance logics and revise IT strategies to facilitate DT initiatives. In this study, we report a case study of how Enterprise Architecture (EA) concepts were introduced and translated into practices in Vietnamese government agencies over a span of 15 years. This translation …

Une nouvelle page si vous voulez naviguer Š travers les contributeurs/auteurs du Sillon fictionnel:
🌊 https://sillon-fictionnel.club/auteurs/
🌊 Š propos du Sillon fictionnel

This https://arxiv.org/abs/2504.15207 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Parametric Gromov width of Liouville domains
The classical Gromov width measures the largest symplectic ball embeddable into a symplectic manifold; inspired by the symplectic camel problem, we generalize this to ask how large a symplectic ball can be embedded as a family over a parameter space $N$. Given a smooth map $f: N \to Ω$, where $Ω$ is a symplectic manifold, we define the \emph{parametric Gromov width} $\mathrm{Gr}(f,Ω)$ as the supremum of capacities $a>0$ for which there exists a family of balls, parametrized by $N$, of capaci…

The FreeBSD Forums versus the Internet Archive Wayback Machine
Recently: "Save Page Now could not capture this URL because it was unreachable. If the site is online, it may be blocking access from our service."
I assume that the block is inadvertent.
Pictured below: an attempt to capture

[2025-05-28 Wed (UTC), no new articles found for q-bio.OT Other Quantitative Biology]
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In which I find myself on the front page of the Sunday op-ed section in the newspaper my parents have subscribed to since I learned out to read it, hoping to rally hometown opposition to the Trump administration's destruction of federal research agencies
Local boy makes op-ed

"How to get the most out of tech while freeing ourselves from the lunatics in Silicon Valley"
Says Ian Dunt in his article on a corporate Substack page linked from his block-chain owned Bluesky account.
He does so without using the words "Fedi" "blog", "decentralize" "open source", "free software", or "mastodon", and while calling Facebook and Instagram "seemingly more benign".
There must be a form of moderate tech disinvestment, which allows us the things we benefit from while removing the things which harm us.
He pleads, admitting
I have no answers for this
Yeah, no kidding.
But he has stopped using Amazon so much and buys more DVDs now, and tries to use a tablet more than a phone!?
Well done I guess.

Breakfast maneuvers
More #Comics at: #Sims4

Caerfinon’s Comics | Substack
A place for my comics. Click to read Caerfinon’s Comics, a Substack publication. Launched 9 months ago.

This https://arxiv.org/abs/2402.07141 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSC_…

Reading Rational Univariate Representations on lexicographic Groebner bases
In this contribution, we consider a zero-dimensional polynomial system in $n$ variables defined over a field $\mathbb{K}$. In the context of computing a Rational Univariate Representation (RUR) of its solutions, we address the problem of certifying a separating linear form and, once certified, calculating the RUR that comes from it, without any condition on the ideal else than being zero-dimensional. Our key result is that the RUR can be read (closed formula) from lexicographic Groebner bases o…

**[Цей і наступні пости викладаються тут для архівних цілей, майже в тому вигляді, який вони мали в оригіналі]**
Не знаю, на скільки мене вистачить, але тримайте.
Дрезден Кодак - "Темна Наука (https://dresdencodak.com/2010/06/03/dark-science-01/)"…

Dark Science #01 - The Collected Works of Shakespeare: the Movie - Dresden Codak
So this is page one of a new series that will be going on in Dresden Codak! Page 2 will be up next week.

[2025-05-28 Wed (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
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[2025-05-29 Thu (UTC), 1 new article found for q-bio.BM Biomolecules]
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[2025-05-29 Thu (UTC), no new articles found for math.SG Symplectic Geometry]
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This https://arxiv.org/abs/2502.17906 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Why do financial prices exhibit Brownian motion despite predictable order flow?
In financial market microstructure, there are two enigmatic empirical laws: (i) the market-order flow has predictable persistence due to metaorder splitters by institutional investors, well formulated as the Lillo-Mike-Farmer model. However, this phenomenon seems paradoxical given the diffusive and unpredictable price dynamics; (ii) the price impact $I(Q)$ of a large metaorder $Q$ follows the square-root law, $I(Q)\propto \sqrt{Q}$. Here we theoretically reveal why price dynamics follows Browni…

[2025-05-26 Mon (UTC), 1 new article found for physics.ed-ph Physics Education]
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HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
Jie Gao, Jun Li, Jing Hu, Shanzhuo Zhang, Kunrui Zhu, Yueyang Huang, Xiaonan Zhang, Xiaomin Fang
https://arxiv.org/abs/2505.21873

HelixDesign-Binder: A Scalable Production-Grade Platform for Binder Design Built on HelixFold3
Protein binder design is central to therapeutics, diagnostics, and synthetic biology, yet practical deployment remains challenging due to fragmented workflows, high computational costs, and complex tool integration. We present HelixDesign-Binder, a production-grade, high-throughput platform built on HelixFold3 that automates the full binder design pipeline, from backbone generation and sequence design to structural evaluation and multi-dimensional scoring. By unifying these stages into a scalab…

[2025-05-26 Mon (UTC), no new articles found for q-fin.GN General Finance]
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[2025-05-27 Tue (UTC), no new articles found for q-bio.OT Other Quantitative Biology]
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This https://arxiv.org/abs/2306.02206 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Mitigating Molecular Aggregation in Drug Discovery with Predictive Insights from Explainable AI
Herein, we present the application of MEGAN, our explainable AI (xAI) model, for the identification of small colloidally aggregating molecules (SCAMs). This work offers solutions to the long-standing problem of false positives caused by SCAMs in high throughput screening for drug discovery and demonstrates the power of xAI in the classification of molecular properties that are not chemically intuitive based on our current understanding. We leverage xAI insights and molecular counterfactuals to …

[2025-05-26 Mon (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
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[2025-05-28 Wed (UTC), 1 new article found for q-bio.BM Biomolecules]
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This https://arxiv.org/abs/2403.06761 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Magnetic billiards and the Hofer-Zehnder capacity of disk tangent bundles of lens spaces
We compute the Hofer-Zehnder capacity of disk tangent bundles of certain lens spaces with respect to the round metric. Interestingly we find that the Hofer-Zehnder capacity does not see the covering, i.e. the capacity of the disk tangent bundle of the lens space coincides with the capacity of the disk tangent bundle of the 3-sphere covering it. In particular, this gives a first example, where Gromov width and Hofer-Zehnder capacity of a disk tangent bundle disagree. Techniques we use include fo…

[2025-05-27 Tue (UTC), 1 new article found for q-fin.TR Trading and Market Microstructure]
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This https://arxiv.org/abs/2108.10914 has been replaced.
link: https://scholar.google.com/scholar?q=a

Lagrangian cobordism functor in microlocal sheaf theory I
Given a Lagrangian cobordism $L$ of Legendrian submanifolds from $Λ_-$ to $Λ_+$, we construct a functor $Φ_L^*: Sh^c_{Λ_+}(M) \rightarrow Sh^c_{Λ_-}(M) \otimes_{C_{-*}(Ω_*Λ_-)} C_{-*}(Ω_*L)$ between sheaf categories of compact objects with singular support on $Λ_\pm$ and its right adjoint on sheaf categories of proper objects, using Nadler-Shende's work. This gives a sheaf theory description analogous to the Lagrangian cobordism map on Legendrian contact homologies and the right adjoin…

This https://arxiv.org/abs/2504.16152 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Heterogeneous networks in drug-target interaction prediction
Drug discovery requires a tremendous amount of time and cost. Computational drug-target interaction prediction, a significant part of this process, can reduce these requirements by narrowing the search space for wet lab experiments. In this survey, we provide comprehensive details of graph machine learning-based methods in predicting drug-target interaction, as they have shown promising results in this field. These details include the overall framework, main contribution, datasets, and their so…

Hybrid Models for Financial Forecasting: Combining Econometric, Machine Learning, and Deep Learning Models
Dominik Stempie\'n, Robert \'Slepaczuk
https://arxiv.org/abs/2505.19617

Hybrid Models for Financial Forecasting: Combining Econometric, Machine Learning, and Deep Learning Models
This research systematically develops and evaluates various hybrid modeling approaches by combining traditional econometric models (ARIMA and ARFIMA models) with machine learning and deep learning techniques (SVM, XGBoost, and LSTM models) to forecast financial time series. The empirical analysis is based on two distinct financial assets: the S&P 500 index and Bitcoin. By incorporating over two decades of daily data for the S&P 500 and almost ten years of Bitcoin data, the study provides a comp…

TumorHoPe2: An updated database for Tumor Homing Peptides
Diksha Kashyap, Devanshi Gupta, Naman Kumar Mehta, Gajendra P. S. Raghava
https://arxiv.org/abs/2505.20913

TumorHoPe2: An updated database for Tumor Homing Peptides
Addressing the growing need for organized data on tumor homing peptides (THPs), we present TumorHoPe2, a manually curated database offering extensive details on experimentally validated THPs. This represents a significant update to TumorHoPe, originally developed by our group in 2012. TumorHoPe2 now contains 1847 entries, representing 1297 unique tumor homing peptides, a substantial expansion from the 744 entries in its predecessor. For each peptide, the database provides critical information, …

[2025-05-27 Tue (UTC), 1 new article found for math.SG Symplectic Geometry]
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[2025-05-27 Tue (UTC), 1 new article found for q-bio.BM Biomolecules]
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Global Fukaya category II: applications
Yasha Savelyev
https://arxiv.org/abs/2505.19362 https://arxiv.org/pdf/2505.19362

Global Fukaya category II: applications
To paraphrase, part I constructs a bundle of $A _{\infty}$ categories given the input of a Hamiltonian fibration over a smooth manifold. Here we show that this bundle is generally non-trivial by a sample computation. One principal application is differential geometric, and the other is about algebraic $K$-theory of the integers and the rationals. We find new curvature constraint phenomena for smooth and singular $\mathcal{G}$-connections on principal $\mathcal{G}$-bundles over $S ^{4}$, where $…

[2025-05-26 Mon (UTC), 1 new article found for math.SG Symplectic Geometry]
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This https://arxiv.org/abs/2505.05784 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

FlowHFT: Flow Policy Induced Optimal High-Frequency Trading under Diverse Market Conditions
High-frequency trading (HFT) is an investing strategy that continuously monitors market states and places bid and ask orders at millisecond speeds. Traditional HFT approaches fit models with historical data and assume that future market states follow similar patterns. This limits the effectiveness of any single model to the specific conditions it was trained for. Additionally, these models achieve optimal solutions only under specific market conditions, such as assumptions about stock price's s…

Atomic Density Distributions in Proteins: Structural and Functional Implications
Sotirios Touliopoulos, Nicholas M. Glykos
https://arxiv.org/abs/2505.18566

Atomic Density Distributions in Proteins: Structural and Functional Implications
Atomic packing is an important metric for characterizing protein structures, as it significantly influences various features including the stability, the rate of evolution and the functional roles of proteins. Packing in protein structures is a measure of the overall proximity between the proteins' atoms and it can vary notably among different structures. However, even single domain proteins do not exhibit uniform packing throughout their structure. Many different methods have been used to me…

[2025-05-26 Mon (UTC), 2 new articles found for q-bio.BM Biomolecules]
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[2025-05-21 Wed (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
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Legendrian doubles, twist spuns, and clusters
James Hughes, Agniva Roy
https://arxiv.org/abs/2505.17901 https://arxiv.org/pdf/2505.17…

Legendrian doubles, twist spuns, and clusters
Let $λ$ be a Legendrian link in standard contact $\mathbb{R}^3$, such that $L_1$, $L_2$ are two exact fillings of $λ$ and $φ$ is a Legendrian loop of $λ$. We study fillability and isotopy characterizations of Legendrian surfaces in standard contact $\mathbb{R}^5$ built from the above data by doubling or twist spinning; denoting them $Λ(L_1,L_2)$ or $Σ_φ(λ)$ respectively. In the case of doubles $Λ(L_1,L_2)$, if the sheaf moduli $\mathcal{M}_1(λ)$ admits a cluster structure, we introduc…

[2025-05-23 Fri (UTC), no new articles found for q-fin.TR Trading and Market Microstructure]
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This https://arxiv.org/abs/2410.09795 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
Predicting molecular ground-state conformation (i.e., energy-minimized conformation) is crucial for many chemical applications such as molecular docking and property prediction. Classic energy-based simulation is time-consuming when solving this problem, while existing learning-based methods have advantages in computational efficiency but sacrifice accuracy and interpretability. In this work, we propose a novel and effective method to bridge the energy-based simulation and the learning-based st…

Flexible MOF Generation with Torsion-Aware Flow Matching
Nayoung Kim, Seongsu Kim, Sungsoo Ahn
https://arxiv.org/abs/2505.17914 https://

Flexible MOF Generation with Torsion-Aware Flow Matching
Designing metal-organic frameworks (MOFs) with novel chemistries is a long-standing challenge due to their large combinatorial space and the complex 3D arrangements of building blocks. While recent deep generative models have enabled scalable MOF generation, they assume (1) a fixed set of building blocks and (2) known ground-truth local block-wise 3D coordinates. However, this limits their ability to (1) design novel MOFs and (2) generate the structure using novel building blocks. We propose a …

This https://arxiv.org/abs/2504.19332 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Reeb orbits frequently intersecting a symplectic surface
Consider a symplectic surface in a three-dimensional contact manifold with boundary on Reeb orbits (periodic orbits of the Reeb vector field). We assume that the rotation numbers of the boundary Reeb orbits satisfy a certain inequality, and we also make a technical assumption that the Reeb vector field has a particular ``nice'' form near the boundary of the surface. We then show that there exist Reeb orbits which intersect the interior of the surface, with a lower bound on the frequency of thes…

This https://arxiv.org/abs/2505.07078 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?
Large Language Models (LLMs) have recently been leveraged for asset pricing tasks and stock trading applications, enabling AI agents to generate investment decisions from unstructured financial data. However, most evaluations of LLM timing-based investing strategies are conducted on narrow timeframes and limited stock universes, overstating effectiveness due to survivorship and data-snooping biases. We critically assess their generalizability and robustness by proposing FINSABER, a backtesting …

Predicting protein folding dynamics using sequence information
Ezequiel A. Galpern, Federico Caama\~no, Diego U. Ferreiro
https://arxiv.org/abs/2505.17237 …

Predicting protein folding dynamics using sequence information
Natural protein sequences somehow encode the structural forms that these molecules adopt. Recent developments in structure-prediction are agnostic to the mechanisms by which proteins fold and represent them as static objects. However, the amino acid sequences also encode information about how the folding process can happen, and how variations in the sequences impact on the populations of the distinct structural forms that proteins acquire. Here we present a method to infer protein folding dynam…

[2025-05-22 Thu (UTC), 1 new article found for q-fin.TR Trading and Market Microstructure]
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