Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Revisiting Asymptotic Theory for Principal Component Estimators of Approximate Factor Models
Peiyun Jiang, Yoshimasa Uematsu, Takashi Yamagata
https://arxiv.org/abs/2311.00625 https://mastoxiv.page/@arXiv_mathST_bot/111339128055839658
- On the Effectiveness of Classical Regression Methods for Optimal Switching Problems
Martin Andersson, Benny Avelin, Marcus Olofsson
https://arxiv.org/abs/2506.15436 https://mastoxiv.page/@arXiv_mathOC_bot/114709239419542874
- Bayesian Distributionally Robust Merton Problem with Nonlinear Wasserstein Projections
Jose Blanchet, Jiayi Cheng, Hao Liu, Yang Liu
https://arxiv.org/abs/2512.01408 https://mastoxiv.page/@arXiv_mathOC_bot/115649350857966480
- $\alpha$-Mutual Information for the Gaussian Noise Channel
Mohammad Milanian, Alex Dytso, Martina Cardone
https://arxiv.org/abs/2604.10922 https://mastoxiv.page/@arXiv_csIT_bot/116402225977777282
- Singular Asymptotics of SPADE in Quantum Source Discrimination
Natsuki Kariya
https://arxiv.org/abs/2605.14432 https://mastoxiv.page/@arXiv_quantph_bot/116577630495105009
- Cross-Calibrated Confidence Fields for Local Risk Updates
Mingzhi Song
https://arxiv.org/abs/2606.19147 https://mastoxiv.page/@arXiv_statML_bot/116770104341022233
- A Direct Route to Markov Chain Convergence via Asymptotic Equivalence with the Target
Patrick Forr\'e
https://arxiv.org/abs/2608.03353 https://mastoxiv.page/@arXiv_mathPR_bot/117041893314585622
- Extreme principal minors of Wishart and deformed GOE matrices
Zhaorui Dong, Tiefeng Jiang, Tuan Pham, Jianfeng Yao
https://arxiv.org/abs/2608.13154 https://mastoxiv.page/@arXiv_mathPR_bot/117092881421641444
toXiv_bot_toot
[2026-07-17 Fri (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Shopware 6: Ever had an SVG icon render fine on the page but show up empty the moment the same fragment loads via AJAX? That's not a bug in your code — it's a Shopware optimization you didn't know existed, and there's a one-line fix once you know its name.
[2026-07-17 Fri (UTC), 2 new articles found for physics.app-ph Applied Physics]
toXiv_bot_toot
Gabriel--Zisman Localizations, Products, Coproducts, and Product Categories
Chencheng Zhang
https://arxiv.org/abs/2609.18617 https://arxiv.org/pdf/2609.186…
The #LeagueofWomenVoters in your area will have a concise, accurate, and non-partisan guide to your local ballot. They have local orgs all over the place, often with localized web sites. If you’re faced with a long, complicated ballot, with confusing initiatives to vote on, LWV is a good resource. They also often will have a page with their preferences on some issues. Look them up.
Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Graph Causal Optimal Transport and Wasserstein Distances
Jan Ob{\l}\'oj, Vlad Tuchilus
https://arxiv.org/abs/2608.13716 https://mastoxiv.page/@arXiv_mathPR_bot/117109746090804032
- Detection of Structural Distortions in Functional Time Series
Debanjana Datta, Rituparna Sen, Nalini Ravishanker
https://arxiv.org/abs/2608.13762 https://mastoxiv.page/@arXiv_statME_bot/117109778563001128
- A Structural Characterization of Entropy Functionals
Daniel Lazarev
https://arxiv.org/abs/2608.13917 https://mastoxiv.page/@arXiv_csIT_bot/117109760641851678
- Change Point Detection and Localization in High-Dimensional Time Series
Patrick Bastian, Daria Tieplova, Nina D\"ornemann, Tim Kutta
https://arxiv.org/abs/2608.14344 https://mastoxiv.page/@arXiv_statME_bot/117109842628849962
- A distance-based theory of lottery complexity
Giulio Principi
https://arxiv.org/abs/2608.14464 https://mastoxiv.page/@arXiv_econTH_bot/117109786200544079
- Handover of In-Context Learning State Across Session Boundaries
Masahiro Kato, Taka Kato
https://arxiv.org/abs/2608.14528 https://mastoxiv.page/@arXiv_csAI_bot/117109896699069976
toXiv_bot_toot
Online Allocation using Few Samples
Matthew Faw, Sahil Singla, Yifan Wang
https://arxiv.org/abs/2609.17343 https://arxiv.org/pdf/2609.17343
Measuring Interaction-Induced Energy Shifts of Rydberg Atoms in Hot Vapor
Tomasz Prokop, Bartosz Kasza, Wojciech Wasilewski, Micha{\l} Parniak
https://arxiv.org/abs/2607.15221 h…
Rant time for interfaces on web sites. A checkbox is that, one OR MORE items to be selected, not one. If you want one item selected then use RADIO buttons. Also, stop refreshing every time I make a selection. Wait until I am done and then have a REFRESH or UPDATE button. I know there are some that say I don't know anything, but I was doing SGML documents and HTML pages in the 1980s for work so I have a bit of knowledge on that.
Also, review the code for each page in your sit…
[2026-09-17 Thu (UTC), 1 new article found for math.CT Category Theory]
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webkb: WebKB graphs (1998)
Web graphs crawled from four Computer Science departments in 1998, with each page manually classified into one of 7 categories: course, department, faculty, project, staff, student, or other. All graphs included in a single .zip; also included are 'co-citation' graphs, which links i and j if they both point to some k. Edge weights count the number of links from i to j.
This network has 349 nodes and 1393 edges.
Tags: Informational, Web gra…
Stochastic binary networks with asymmetric and time-delayed interactions
Hantao Zhang, Sidra Gibeault, Matthew W. Daniels, Philippe Talatchian, Ursula Ebels, Advait Madhavan, Mark D. Stiles
https://arxiv.org/abs/2607.15215
Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- Subjective functions
Samuel J. Gershman
https://arxiv.org/abs/2512.15948 https://mastoxiv.page/@arXiv_csAI_bot/115745517602563939
- A modular state-space model of human perception, cognition, and decision dynamics
Sven Schoonebeek, Carlo Cenedese, Anahita Jamshidnejad
https://arxiv.org/abs/2607.14078 https://mastoxiv.page/@arXiv_eessSY_bot/116928666355965273
toXiv_bot_toot
[2026-07-17 Fri (UTC), 1 new article found for q-fin.TR Trading and Market Microstructure]
toXiv_bot_toot
Crosslisted article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[1/2]:
- Living on the Edge of Effective Field Theory: Near-Extremal Black Holes in Quadratic Gravity
Kelvin Ka-Ho Lam, Gary T. Horowitz, Nicol\'as Yunes
https://arxiv.org/abs/2608.05268 https://mastoxiv.page/@arXiv_grqc_bot/117053119278147418
- Relative entropy of entanglement of Haar random states
Takato Mori, Beni Yoshida
https://arxiv.org/abs/2608.05274 https://mastoxiv.page/@arXiv_quantph_bot/117053252355717367
- Theory of Measurement-Altered Criticality
Kabir Khanna, Sara Murciano, Romain Vasseur
https://arxiv.org/abs/2608.05289 https://mastoxiv.page/@arXiv_condmatstatmech_bot/117053093687616139
- Self-dual $S_3$ gauge theory in 2 1d: lattice model and topological phase transitions
Da-Chuan Lu, Chong Wang, Ashvin Vishwanath
https://arxiv.org/abs/2608.05294 https://mastoxiv.page/@arXiv_condmatstrel_bot/117053135203168433
- 3-form dark energy and cosmic birefringence
Kohei Kamada, Tucker Manton
https://arxiv.org/abs/2608.05296 https://mastoxiv.page/@arXiv_astrophCO_bot/117053109615577309
- GOOFy-compatible 3HDMs and beyond
I. de Medeiros Varzielas, A. Kun\v{c}inas
https://arxiv.org/abs/2608.05304 https://mastoxiv.page/@arXiv_hepph_bot/117053194550154760
- Beyond Borel Windows: A Systematic Optimization Framework for QCD Sum Rules
Raphael M. Albuquerque
https://arxiv.org/abs/2608.05322 https://mastoxiv.page/@arXiv_hepph_bot/117053194943710217
- Quantum information loss
James Fullwood, Wu-zhong Guo, Boyu Yang
https://arxiv.org/abs/2608.05535 https://mastoxiv.page/@arXiv_quantph_bot/117053277916138502
- Coherent and Stochastic Axion Dark Matter from Thermal Relaxation
Gurmani, Cilli, Channuie, Abdujabbarov, Atamurotov, G\"udekli
https://arxiv.org/abs/2608.05538 https://mastoxiv.page/@arXiv_hepph_bot/117053223846614186
- Asymmetric Quantum Oppenheimer-Snyder Collapse
Micha{\l} Bobula, Tomasz Paw{\l}owski
https://arxiv.org/abs/2608.05818 https://mastoxiv.page/@arXiv_grqc_bot/117053193567517392
- Triviality in a Non-Perturbative Second-Order Mean-Field Theory for $\phi^4_4$
Majdouline Borji
https://arxiv.org/abs/2608.05998 https://mastoxiv.page/@arXiv_mathph_bot/117053148149785707
- Measurement-induced entanglement Hamiltonian
Viktor Eisler, Erik Tonni
https://arxiv.org/abs/2608.06006 https://mastoxiv.page/@arXiv_condmatstatmech_bot/117053217162278663
- An Effective String Theory Toolbox for Quantum Hall Interfaces I: Worldsheet Kinematics and Const...
Ken K. W. Ma
https://arxiv.org/abs/2608.06097 https://mastoxiv.page/@arXiv_condmatmeshall_bot/117053183146860935
toXiv_bot_toot
Replaced article(s) found for nlin.CD. https://arxiv.org/list/nlin.CD/new
[1/1]:
- Recurrence and anti-recurrence patterns reveal an antiperiodic fingerprint that survives into cha...
Arturo C. Marti, Edson D. Leonel
https://arxiv.org/abs/2607.05323 https://mastoxiv.page/@arXiv_nlinCD_bot/116877641124609605
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One more radiative-recoil correction to the Lamb shift in muonium
Michael I. Eides, Valery A. Shelyuto
https://arxiv.org/abs/2607.15188 https://arxiv.org/p…
An abelian envelope without the quotient property
Johannes Flake, Jonathan Gruber, Thorsten Heidersdorf
https://arxiv.org/abs/2609.17467 https://arxiv.org/…
High Probability Streaming Lower Bounds for $F_2$ Estimation
William Swartworth, David P. Woodruff, Samson Zhou
https://arxiv.org/abs/2609.17286 https://ar…
Boosting Perovskite Light-Emitting Diodes Performance by Introducing High Work-function Metal Transition Layer
Laixiang Qin
https://arxiv.org/abs/2607.14471 https://
Scalar-mean rigidity theorem and Llarull's theorem for nonspin manifolds
Gaoming Wang, Jinmin Wang, Zhizhang Xie, Bo Zhu
https://arxiv.org/abs/2609.15907 https://arxiv.org/pdf/2609.15907 https://arxiv.org/html/2609.15907
arXiv:2609.15907v1 Announce Type: new
Abstract: We prove Llarull's scalar curvature rigidity theorem for spheres and scalar-mean rigidity for strictly convex Euclidean domains in all dimensions without the spin assumption.
toXiv_bot_toot
Transformation of vector modes by the Faraday effect in strong magnetic fields
Sphinx J. Svensson, Craig J. A. Millar, Danielle Pizzey, Ifan G. Hughes, Sonja Franke-Arnold
https://arxiv.org/abs/2607.15088
Converse bounds for multiple graph alignment and correlation detection based on last matching
Taha Ameen, Bruce Hajek
https://arxiv.org/abs/2608.14450 https://arxiv.org/pdf/2608.14450 https://arxiv.org/html/2608.14450
arXiv:2608.14450v1 Announce Type: new
Abstract: The paper focuses on information theoretic converse bounds for the alignment of $m$ correlated graphs and for the detection of correlation among $m$ graphs. A simple idea for $m\geq 3$ is that if the alignment of $m-1$ of the graphs is revealed as extra information (by a genie for example) then it is still necessary to produce the alignment between the one remaining graph and the others, i.e. the last matching must be accomplished. For both Gaussian and Erdos-Renyi models, the last-matching problem is equivalent to one with two observed graphs, providing a path to extend converse bounds for $m=2$ to larger $m$. While the method is rather obvious for alignment, we show that the method can also be used to derive converse bounds for weak detection of correlation.
toXiv_bot_toot
Replaced article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- On $q$-real and $q$-complex numbers
Pavel Etingof
https://arxiv.org/abs/2508.08440 https://mastoxiv.page/@arXiv_mathCV_bot/115020551459657688
- Intrinsic \(q\)-Radial Vector Derivatives and Localized Fischer Decompositions on Radial Algebras
Diana Barseghyan (Schneiderov\'a), Juan Bory-Reyes, Baruch Schneider, Yifan Zhang
https://arxiv.org/abs/2605.00775 https://mastoxiv.page/@arXiv_mathCV_bot/116515205837124345
- Simultaneous linearization and centralizers of parabolic self-maps II: positive hyperbolic step
Manuel D. Contreras, Santiago D\'iaz-Madrigal, Pavel Gumenyuk
https://arxiv.org/abs/2607.19527 https://mastoxiv.page/@arXiv_mathCV_bot/116968218011336645
- On the Bergman Metric near Exponentially Flat Infinite Type Boundary Points
Ravi Shankar Jaiswal
https://arxiv.org/abs/2607.24444 https://mastoxiv.page/@arXiv_mathCV_bot/116996628464925673
- On the flatness of the Bergman space as a module over the Hardy algebra
Amol Sasane
https://arxiv.org/abs/2607.25649 https://mastoxiv.page/@arXiv_mathCV_bot/117002196611408728
- Stable residuals of Schur-stable polynomials and exterior power sums
Xiaojun Tan, Qihang Wang, Wei Huang, Kun Chen
https://arxiv.org/abs/2608.02043 https://mastoxiv.page/@arXiv_mathCV_bot/117036293730720387
- Superforms, supercurrents and convex geometry
Bo Berndtsson
https://arxiv.org/abs/2501.02896 https://mastoxiv.page/@arXiv_mathMG_bot/113785933159857371
- Hamiltonian Actions on Homogeneous Bounded Domains
Maxim Kukol
https://arxiv.org/abs/2509.19293 https://mastoxiv.page/@arXiv_mathSG_bot/115258332559604506
- Homogeneous pre-foliations of co-degree one and degree four on the projective plane
Carla Pracias, Maycol Falla Luza
https://arxiv.org/abs/2605.07944 https://mastoxiv.page/@arXiv_mathAG_bot/116554927734304852
- The equality case of Ehrhart's volume conjecture
Jihao Liu
https://arxiv.org/abs/2608.01040 https://mastoxiv.page/@arXiv_mathCO_bot/117036382206561778
- Two absolutely bounded determinantal ratios
Hristo Sendov, Mengxu Yuan
https://arxiv.org/abs/2608.04294 https://mastoxiv.page/@arXiv_mathRA_bot/117047470056736774
toXiv_bot_toot
Rank-One Matrix Discrepancy and Algorithmic Kadison--Singer
Ekene Ezeunala, Haotian Jiang
https://arxiv.org/abs/2609.17266 https://arxiv.org/pdf/2609.17266…
Vector fields, initial scaffolds and database reduction
Isaac Carcac\'ia-Campos
https://arxiv.org/abs/2609.16221 https://arxiv.org/pdf/2609.16221
Other than that major search engines have been trash for a long time, is there a reason that the Elon Musk's fascist copy of Wikipedia shows up in search results near and sometimes even above the original Wikipedia page in DuckDuckGo (which is mostly Bing under the hood)?
Thoughtseeds as Latent Causes: A Dual-Process Computational Phenomenology of Focused-Attention Meditation
Prakash Chandra Kavi, Daniel Ari Friedman, Gustavo Patow
https://arxiv.org/abs/2607.14833 https://arxiv.org/pdf/2607.14833 https://arxiv.org/html/2607.14833
arXiv:2607.14833v1 Announce Type: new
Abstract: Meditative expertise involves sustained attention, rapid recovery from distraction, and coordinated dynamics of large-scale brain networks. We present a computational phenomenology of focused-attention meditation traversing four attractor states: breath focus, mind-wandering, meta-awareness, and redirect attention. Within a dual-process active inference formulation, the model implements a three-layer nested Markov-blanket architecture: (L1) a high-dimensional physiological neuronal substrate modeled as a stochastic multivariate Ornstein--Uhlenbeck process over attentional Yeo networks; (L2) a low-dimensional generative model (System 1) that encodes latent mental content as thoughtseeds and evaluates autonomic action tendencies; and (L3) an agentic metacognitive monitor (System 2) that implements a Global Neuronal Workspace (GNW) capacity bottleneck to selectively gate these tendencies. In L3, meta-awareness functions as the GNW ignition signal, derived from policy-prior divergence and dynamically gated by direct competition between orchestrator and distractor thoughtseeds. Policy selection actively minimizes expected free energy, and L2 actions furnish descending predictions over network activity to close the enactive perception--action cycle. Training uses variational Expectation-Maximization (EM) across expert and novice phenotypes. Simulations reproduce behavior consistent with empirical observations and findings in contemplative neuroscience, providing a tractable link between first-person phenomenology and objective neurophysiological measures.
toXiv_bot_toot
Existence and convergence of discrete-time Kyle models with multiple insiders
Jin Choi, Kasper Larsen
https://arxiv.org/abs/2607.15057 https://arxiv.org/pdf/2607.15057 https://arxiv.org/html/2607.15057
arXiv:2607.15057v1 Announce Type: new
Abstract: We extend the limited participation model in Basak and Cuoco (1998) to allow for traders with different time-preference coefficients but identical constant relative risk-aversion coefficients. Our main result gives parameter restrictions which ensure the existence of a Radner equilibrium. As an application, we give further parameter restrictions which ensure all traders survive in the long run.
toXiv_bot_toot
Generalization Error Estimation for Primal--Dual Algorithms in Non-Smooth Regression
Kai Tan, Pierre C Bellec
https://arxiv.org/abs/2608.13870 https://arxiv.org/pdf/2608.13870 https://arxiv.org/html/2608.13870
arXiv:2608.13870v1 Announce Type: new
Abstract: This paper studies trajectory-wise estimation of generalization error for primal--dual algorithms in non-smooth regression. Motivating examples include \(\ell_1\)-penalized least absolute deviations regression and square-root Lasso regression, where the data-fitting loss is non-differentiable and existing risk estimators for gradient-type optimization paths do not apply directly. We develop a general recursive framework that includes the Chambolle--Pock algorithm and related primal--dual splitting methods. We estimate risk by correcting each in-sample fitted value with a weighted combination of past dual iterates. The ideal weights are Stein derivative contractions and depend on the design covariance. We construct replacement weights from observable derivative contractions of the fitted-signal trajectory, yielding a covariance-free, data-driven correction. For high-dimensional Gaussian designs and fixed finite iteration horizon, we prove finite-sample guarantees for both estimators. For square-root ridge, we further establish a matched-Gaussian universality result beyond Gaussian designs. Numerical experiments show that the proposed estimators accurately track the out-of-sample risk along finite optimization paths.
toXiv_bot_toot
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Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Dynamic sliding and rolling friction models for viscoelastic contact pairs
Luigi Romano
Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- A vacuum-ultraviolet spectropolarimeter for an electron beam ion trap
Nobuyuki Nakamura, Ryohko Ishikawa, Motoshi Goto
Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[1/3]:
- Supersymmetry and Localization on Three-Dimensional Orbifolds
Matteo Inglese, Dario Martelli, Antonio Pittelli
https://arxiv.org/abs/2312.17086 https://mastoxiv.page/@arXiv_hepth_bot/111661930015105222
- Unitarity of partially broken massless higher-spin models
D. Dalmazi, B. dos S. Martins, E. L. Mendon\c{c}a, R. Schimidt Bittencourt
https://arxiv.org/abs/2510.14199 https://mastoxiv.page/@arXiv_hepth_bot/115388701396007760
- Torus Knots in Adjoint Representation
Andrei Mironov, Vivek Kumar Singh
https://arxiv.org/abs/2512.23095 https://mastoxiv.page/@arXiv_hepth_bot/115808100278108852
- Deforming the Double-Scaled SYK & Reaching the Stretched Horizon From Finite Cutoff Holography
Sergio E. Aguilar-Gutierrez
https://arxiv.org/abs/2602.06113 https://mastoxiv.page/@arXiv_hepth_bot/116039719167009927
- Holographic metals at finite volume
Lucas Acito, Nicolas Grandi
https://arxiv.org/abs/2602.10460 https://mastoxiv.page/@arXiv_hepth_bot/116056835954460834
- Finite $N$ Hilbert Spaces of Bilocal Holography
Robert de Mello Koch, Antal Jevicki, Junggi Yoon
https://arxiv.org/abs/2602.20788 https://mastoxiv.page/@arXiv_hepth_bot/116130640823800094
- Complex scaling approach to quasinormal modes of Schwarzschild and Reissner--Nordstr\"om black holes
Shoya Ogawa, Takuya Hirose, Okuto Morikawa
https://arxiv.org/abs/2604.20442 https://mastoxiv.page/@arXiv_hepth_bot/116453020870329417
- Consistent Scattering Amplitudes, Yang-Mills, the Higgs Mechanism and the EFTs Beyond
Timothy Trott
https://arxiv.org/abs/2605.04152 https://mastoxiv.page/@arXiv_hepth_bot/116532245633307495
- Higher-Derivative Corrections to Reissner--Nordstr\"om Black Holes from Worldline QFT
Siddarth Ajith, Ravisankar Rajagopal, Nur Rifat, Diana Vaman, Kent Yagi
https://arxiv.org/abs/2605.31331 https://mastoxiv.page/@arXiv_hepth_bot/116673830969414004
- Symmetry extension by condensation defects II: general dimensions and higher-groups
Matteo Bertolini, Lorenzo Di Pietro, Stefano C. Lanza, Antonio Santaniello
https://arxiv.org/abs/2607.16099 https://mastoxiv.page/@arXiv_hepth_bot/116951286668798706
- R-Twisting, Fibered Knots, and Gauge Theories
Shi Cheng
https://arxiv.org/abs/2607.24037 https://mastoxiv.page/@arXiv_hepth_bot/116996723595312857
toXiv_bot_toot
[2026-09-16 Wed (UTC), 3 new articles found for math.CT Category Theory]
toXiv_bot_toot
Sharp Minimax Theory for Randomized Experiments
Timothy Sudijono, Edgar Dobriban, Eric Tchetgen Tchetgen
https://arxiv.org/abs/2608.13822 https://arxiv.org/pdf/2608.13822 https://arxiv.org/html/2608.13822
arXiv:2608.13822v1 Announce Type: new
Abstract: We study minimax-optimal designs and estimators for estimating the sample average treatment effect in finite population randomized experiments, where both design and estimator are unrestricted. For binary potential outcomes, we show this minimax risk is equivalent to the minimax risk $\rho_n^*$ of an estimation problem with $2$ unknown parameters. We leverage this reduction to establish a second-order risk expansion $\rho_n^* = n^{-1} - Cn^{-4/3} o_n(n^{-4/3})$ for an explicit constant $C$ related to the Airy function. The minimax risk is attained by Bernoulli randomization with a nonlinear shrinkage estimator. Our results show that standard procedures such as complete randomization with difference in means are only minimax optimal up to first order in $n.$ We derive further results on admissibility of these procedures and discuss the practical implications of our results.
toXiv_bot_toot
Crosslisted article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Towards a monolithic platform for coupling superconducting circuits to low-loss microwave phonons...
Yuanchen Deng, et al.
edit_wikinews: Wikipedia news edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about news events. A user connects to a page if that user edited that page. Edits (edges) are timestamped. Edge weights represent counts of the number of edits.
This network has 3508 nodes and 19011 edges.
Tags: Informational, Web graph, Multigraph, Timestamps
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Ab initio calculations of $^{229}$Th band-to-band internal conversion rate in $^{229}$ThO$_2$
Udeshika C. Perera, H. B. Tran Tan, H. W. T. Morgan, Eric Hudson, Daniel A. R…
Improved Regular Expression Matching with Simple Backreferences
Philip Bille, Inge Li G{\o}rtz, Rikke Schjeldrup Jessen
https://arxiv.org/abs/2609.16914 https://
[2026-08-17 Mon (UTC), 3 new articles found for math.ST Statistics Theory]
toXiv_bot_toot
Replaced article(s) found for q-fin.TR. https://arxiv.org/list/q-fin.TR/new
[1/1]:
- Option prices from operational-time reaction-boundary lattices
Chris Angstmann, Tim Gebbie
https://arxiv.org/abs/2606.09564 https://mastoxiv.page/@arXiv_qfinPR_bot/116719026581082215
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Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[2/3]:
- Toward an Observable Algebra for de Sitter Space: Gap Protection and Modular Dressings
Hassan ElSayed
https://arxiv.org/abs/2607.26194 https://mastoxiv.page/@arXiv_hepth_bot/117007888988009612
- Extended Scalar Particle Solutions in Black String Spacetimes with Anisotropic Quintessence
M. L. Deglmann, B. V. Sim\~ao, C. C. Barros Jr
https://arxiv.org/abs/2504.17765 https://mastoxiv.page/@arXiv_grqc_bot/114397428123774125
- Universal supercritical thermodynamics for black holes
Shoucheng Wang, Xinyang Li, Yuliang Jin, Li Li
https://arxiv.org/abs/2506.10808 https://mastoxiv.page/@arXiv_grqc_bot/114675464316469493
- Running Quantum Computers in Discovery Mode
Aydin Deger, Benedikt Placke, G. J. Sreejith, Alessio Lerose, S. L. Sondhi
https://arxiv.org/abs/2507.01013 https://mastoxiv.page/@arXiv_quantph_bot/114783153034025740
- Full Eigenstate Thermalization in Integrable Spin Systems
Tanay Pathak
https://arxiv.org/abs/2510.05887 https://mastoxiv.page/@arXiv_condmatstatmech_bot/115337676705890347
- Boundary structure of gauge fields on asymptotically AdS spaces
Maxim Grigoriev, Mikhail Markov
https://arxiv.org/abs/2512.06576 https://mastoxiv.page/@arXiv_mathph_bot/115688746382829511
- Improved frequency hierarchy treatment for anisotropic spectral distortions
Jens Chluba, Sara Evangelista, Tom Daman, Geoff Vasil
https://arxiv.org/abs/2602.14963 https://mastoxiv.page/@arXiv_astrophCO_bot/116085543680916118
- Black-Hole Microstate Hair Requires a Horizon Measurement
Sudhanva Joshi, Sunil Kumar Mishra
https://arxiv.org/abs/2604.28050 https://mastoxiv.page/@arXiv_quantph_bot/116498398591886253
- Unified dark sector and Hubble-tension alleviation in scalar-vector-tensor gravity
Kimet Jusufi, Amir A. Khodahami, Ahmad Sheykhi, Jackson Levi Said, Emmanuel N. Saridakis
https://arxiv.org/abs/2605.14977 https://mastoxiv.page/@arXiv_grqc_bot/116577642488987255
- Exact spectrum and anomalous relaxation in the open disorder-free Sachdev-Ye-Kitaev system
Soshun Ozaki, Hironobu Yoshida, Hosho Katsura
https://arxiv.org/abs/2606.08079 https://mastoxiv.page/@arXiv_condmatstrel_bot/116719187444301432
- Energy Flux as an Entanglement Current in Moving-Mirror Radiation
Yasusada Nambu, Riku Yoshimoto
https://arxiv.org/abs/2607.19763 https://mastoxiv.page/@arXiv_grqc_bot/116968262813501741
toXiv_bot_toot
Improved Approximation for Unsplittable CVRP via a Greedy Approach
Daniel Ebert, Leonard Weismantel
https://arxiv.org/abs/2609.16910 https://arxiv.org/pdf/…
Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Stable convergence of partial sum processes towards discontinuous limits
Johannes Brutsche
https://arxiv.org/abs/2608.12740 https://mastoxiv.page/@arXiv_mathPR_bot/117092840163122403
- Bayesian Inference Procedures for A/B Testing: An Overview
M{\aa}rten Schultzberg, Mattias Fr{\aa}nberg
https://arxiv.org/abs/2608.12949 https://mastoxiv.page/@arXiv_statME_bot/117092799825341949
- Estimation of distribution functions, their jumps and interval probabilities under measurement error
Kairat Mynbaev, Carlos Martins-Filho, Chad Brown
https://arxiv.org/abs/2608.13152 https://mastoxiv.page/@arXiv_econEM_bot/117092724945077876
- Extreme principal minors of Wishart and deformed GOE matrices
Zhanrui Dong, Tiefeng Jiang, Tuan Pham, Jianfeng Yao
https://arxiv.org/abs/2608.13154 https://mastoxiv.page/@arXiv_mathPR_bot/117092881421641444
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of...
Han Dong, Jiaming Li, Yongqiang Gong, Ruixi Li, Yin Liu
https://arxiv.org/abs/2608.13201 https://mastoxiv.page/@arXiv_statML_bot/117092803789923153
- Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties,...
Bighneswar Sahoo, Suchandan Kayal
https://arxiv.org/abs/2608.13363 https://mastoxiv.page/@arXiv_statME_bot/117092858417590746
- Nearly sharp comparison results for sliced and max-sliced Wasserstein distances
Jonathan Niles-Weed, Jacob Shkrob
https://arxiv.org/abs/2608.13374 https://mastoxiv.page/@arXiv_mathPR_bot/117092901477246948
- Theoretical Properties of Covariate-Adaptive Randomization with a Diverging Number of Covariates
Yuhang Tao, Li-Xin Zhang
https://arxiv.org/abs/2608.13442 https://mastoxiv.page/@arXiv_statME_bot/117092865494823071
- The data geometry of masking diffusion: Certified-optimal schedules via unmasking growth complexity
Martin J. Wainwright
https://arxiv.org/abs/2608.13520 https://mastoxiv.page/@arXiv_csLG_bot/117092942960850473
toXiv_bot_toot
Replaced article(s) found for math.DG. https://arxiv.org/list/math.DG/new
[1/1]:
- Characterizations of weak almost ${\mathcal S}$-manifolds with curvature properties
Sourav Nayak, Dhriti Sundar Patra, Vladimir Rovenski
https://arxiv.org/abs/2508.08871 https://mastoxiv.page/@arXiv_mathDG_bot/115020407904524620
- Contact lifts and Holder lifts to central extension of Carnot groups
Yihan Cui
https://arxiv.org/abs/2512.11897 https://mastoxiv.page/@arXiv_mathDG_bot/115728123603076917
- A strict gap above the Brito--Chacon--Naveira bound for the Sasaki volume on higher odd spheres
Jonas Matuzas
https://arxiv.org/abs/2602.22961 https://mastoxiv.page/@arXiv_mathDG_bot/116141540006410959
- Hausdorff-type metric geometry of the space of Cauchy hypersurfaces
Christian Lange, Jonas W. Peteranderl
https://arxiv.org/abs/2604.11783 https://mastoxiv.page/@arXiv_mathDG_bot/116402225320621066
- Unexpected phenomena for mean curvature functionals in the Heisenberg group
Mattia Fogagnolo, Andrea Pinamonti, Simone Verzellesi
https://arxiv.org/abs/2605.29912 https://mastoxiv.page/@arXiv_mathDG_bot/116656777517434165
- Making Surfaces Biharmonic by Conformal Reparametrization in Anti-de Sitter Three-Space
Dipesh Bhandari
https://arxiv.org/abs/2607.06280 https://mastoxiv.page/@arXiv_mathDG_bot/116883321480043758
- $L^p$ Liouville theorems for pluriharmonic functions on gradient K\"ahler-Ricci solitons
Guangwen Zhao
https://arxiv.org/abs/2607.28057 https://mastoxiv.page/@arXiv_mathDG_bot/117013591192494418
- New Complex-Valued Harmonic Morphisms via Rational Exponents
Sigmundur Gudmundsson
https://arxiv.org/abs/2608.03905 https://mastoxiv.page/@arXiv_mathDG_bot/117041918873461280
- Analysis on surfaces with locally bounded integral curvature
Sebastian Boldt, Batu G\"uneysu, Maxime Marot
https://arxiv.org/abs/2608.03982 https://mastoxiv.page/@arXiv_mathDG_bot/117041925953852654
toXiv_bot_toot
A deterministic $(2 \varepsilon)$-approximation for directed feedback vertex sets in tournaments
Ebrahim Ghorbani, Matthias Mnich
https://arxiv.org/abs/2609.16723 https://
wiki_science: Wikipedia Map of Science (2020)
A network of scientific fields, extracted from the English Wikipedia in early 2020. Nodes are wikipedia pages representing natural, formal, social and applied sciences, and two nodes are linked if the cosine similarity of the page content is above a threshold. See <http://www.s…
[2026-09-16 Wed (UTC), 6 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
SETH-based Lower Bound for Dynamic Degeneracy
Konrad Majewski, Micha{\l} Pilipczuk
https://arxiv.org/abs/2609.16303 https://arxiv.org/pdf/2609.16303…
Electrostatic quadrupole lens for focusing a cryogenic $^{205}$TlF molecular beam
Pengyu Zhou, Olivier Grasdijk, David DeMille, Jakob Kastelic, David Kawall, Jianhui Li, Oskari Timgren, Konrad Wenz, Yuanhang Yang, Tanya Zelevinsky
https://arxiv.org/abs/2609.17915
Scheduling Jobs with Multiple Operational Modes and Tail Times
Bo Chen, Jelmer Pier van der Gaast, Xiandong Zhang
https://arxiv.org/abs/2609.16001 https://…
Characterizing (Co)Free Dagger Categories
Jean-Simon Pacaud Lemay
https://arxiv.org/abs/2609.14285 https://arxiv.org/pdf/2609.14285
[2026-09-17 Thu (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
[2026-09-16 Wed (UTC), 14 new articles found for cs.DS Data Structures and Algorithms]
toXiv_bot_toot
Replaced article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- A new kernel-based approach for the global sensitivity analysis of models with correlated inputs
Troy Larsen, Alen Alexanderian
https://arxiv.org/abs/2603.00849 https://mastoxiv.page/@arXiv_mathST_bot/116164541348754007
- Identifiability, Convergence and Nonparametric Estimation of Bivariate Archimax Copulas
Nicolas Dietrich, Wolfgang Trutschnig
https://arxiv.org/abs/2607.19087 https://mastoxiv.page/@arXiv_mathST_bot/116962627413524469
- Proper Bayes minimax multiple shrinkage estimation
Pankaj Bhagwat, William E. Strawderman, Edward I. George
https://arxiv.org/abs/2607.23717 https://mastoxiv.page/@arXiv_mathST_bot/116996538414904121
- Local Second-Order Bounds for Aggregation-Order Variation in Density Fusion
Ratan Bahadur Thapa
https://arxiv.org/abs/2608.01420 https://mastoxiv.page/@arXiv_mathST_bot/117036312800349457
- Debiased Causal Mediation Analysis in Ultra-High-Dimensional Settings in the Presence of Interact...
Shi Bo, AmirEmad Ghassami, Debarghya Mukherjee
https://arxiv.org/abs/2412.08827 https://mastoxiv.page/@arXiv_statME_bot/113644641256825402
- Schnorr Randomness and Effective Bayesian Consistency and Inconsistency
Simon M. Huttegger, Sean Walsh, Francesca Zaffora Blando
https://arxiv.org/abs/2501.11210 https://mastoxiv.page/@arXiv_mathLO_bot/113872370795037324
- Semiparametric Inference for Half-Trek Estimators in Linear Structural Equation Models
Leopold Mareis, Nils Sturma, Mathias Drton
https://arxiv.org/abs/2606.26931 https://mastoxiv.page/@arXiv_statME_bot/116815434864895376
- A Bayesian Proof of the Bernoulli Theorem
Jingbo Liu, Ilias Zadik
https://arxiv.org/abs/2608.11031 https://mastoxiv.page/@arXiv_mathPR_bot/117081540858079561
- The Geometry of Cochains on Sampled Vietoris-Rips Complexes
Darrick Lee, Kelly Maggs
https://arxiv.org/abs/2608.11137 https://mastoxiv.page/@arXiv_mathDG_bot/117081537320356423
toXiv_bot_toot
Fast, parallel, three-dimensional rearrangement of atom arrays using superpositions of elementary holograms
D. J. Hoare, P. Dunniece, J. Rodewald, K. K. Voges, M. R. Tarbutt
https://arxiv.org/abs/2610.21609
A Rydberg atom array coupled to a high-cooperativity optical cavity
Tai Xiang, Yue-Hui Lu, Tsai-Chen Lee, Jacquelyn Ho, Michael Lan, Zhenjie Yan, Harry Levine, Nathaniel B. Vilas, Dan M. Stamper-Kurn
https://arxiv.org/abs/2610.20889
[2026-10-16 Fri (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Crosslisted article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[2/2]:
- An Effective String Theory Toolbox for Quantum Hall Interfaces II: Majorana Fermions on Fluctuati...
Ken K. W. Ma
https://arxiv.org/abs/2608.06098 https://mastoxiv.page/@arXiv_condmatmeshall_bot/117053197898934096
- An Effective String Theory Toolbox for Quantum Hall Interfaces III: Open Worldsheets, Endpoint Co...
Ken K. W. Ma
https://arxiv.org/abs/2608.06100 https://mastoxiv.page/@arXiv_condmatmeshall_bot/117053204184534164
- A Neutron Star Hidden Inside a Black Hole
Chen Tan, Yong-Qiang Wang
https://arxiv.org/abs/2608.06224 https://mastoxiv.page/@arXiv_grqc_bot/117053234071755193
- Approximate Quantum Error Correction at Chiral Topological Edges
Yuntai Song, Zejun Liu, Zhencheng Wang, Jong Yeon Lee, Bowen Shi
https://arxiv.org/abs/2608.06258 https://mastoxiv.page/@arXiv_quantph_bot/117053306228922080
toXiv_bot_toot
Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Graphical Models for Multivariate Count Data
Iza Danielewska, Bartosz Ko{\l}odziejek
https://arxiv.org/abs/2608.11366 https://mastoxiv.page/@arXiv_statME_bot/117087137518300934
- Semiparametric efficient estimation of the Cox regression coefficient when there can be ties
Benjamin R Baer
https://arxiv.org/abs/2608.11399 https://mastoxiv.page/@arXiv_statME_bot/117087137911796087
- Kernel Methods for Learning Operators with Multiple Inputs and Outputs
Adrien Weihs, Chunyang Liao, Jingmin Sun, Hayden Schaeffer
https://arxiv.org/abs/2608.11831 https://mastoxiv.page/@arXiv_csLG_bot/117087254700651171
- Efficient Response-Adaptive Randomization for Multi-arm Trials with Prioritized Composite Endpoints
Ayon Mukherjee
https://arxiv.org/abs/2608.11953 https://mastoxiv.page/@arXiv_statME_bot/117087188083583909
- Deviation inequalities for U-processes of growing order, with applications to half-space depth
Stanislav Minsker, Shunan Yao
https://arxiv.org/abs/2608.12056 https://mastoxiv.page/@arXiv_mathPR_bot/117087117268165539
- Sharp Berry-Esseen Bounds for the Log Determinant of a Gaussian Sample Correlation Matrix
Hongru Zhao
https://arxiv.org/abs/2608.12242 https://mastoxiv.page/@arXiv_mathPR_bot/117087153642598120
- A contiguity approach to replica symmetric marginals
Ernesto Mordecki, Anas A. Rahman, Manuel S\'aenz
https://arxiv.org/abs/2608.12309 https://mastoxiv.page/@arXiv_mathph_bot/117087180577891013
toXiv_bot_toot
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Hartree-Fock Density-Matrix Renormalization Group for Very Long Chains
Steven R. White
Improved systematic uncertainty evaluation of the $^{171}$Yb optical lattice clock NMIJ-Yb1 with uncertainty of $2.6\times10^{-17}$
Takumi Kobayashi, Akiko Nishiyama, Ikuhiko Saito, Daisuke Akamatsu, Akio Kawasaki, Shintaro Nagase, Masami Yasuda
https://arxiv.org/abs/2609.18468
Second-Order Rayleigh-Schr\"odinger Perturbation Theory for the GRASP2018 Package: Three-Particle Feynman Diagram Contribution to Core-Valence Correlations
G. Gaigalas, P. Rynkun, L. Kitovien\.{e}
https://arxiv.org/abs/2609.18251
Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Exact damping-basis continued fractions for few-atom lasers: collective correlations beyond secon...
Stephan Hartmann
A QED Functional Formulation of Relativistic Many-Body Perturbation Theory in Atoms
Cedric de Jonge, Zolt\'an Harman
https://arxiv.org/abs/2610.22216 https://
Cold-atom comagnetometry via optical control of spin states
J. -L. Zhang, W. -T. Luo, Y. A. Yang, Y. -Q. Wang, T. Xia, Z. -T. Lu
https://arxiv.org/abs/2608.13936 https://…
Precision calculations of the hyperfine constants and isotope and isomer shifts in low-lying states of 229Th3
S. G. Porsev, M. S. Safronova
https://arxiv.org/abs/2608.13700 htt…
Strong-field Herman-Kluk propagator method for high-harmonic generation in molecules
Phi-Hung Tran, Hao Quan Truong, R. Esteban Goetz, Anh-Thu Le
https://arxiv.org/abs/2608.13686
Dual-species alkali and alkaline-earth-like optical tweezer arrays via interferometrically aligned high-NA objectives
K. Weber, M. McMaster, M. Anderson, J. Tu, S. E. Eustice, N. A. Schine, I. B. Spielman, J. V. Porto, S. L. Rolston, S. Subhankar
https://arxiv.org/abs/2608.13646
[2026-08-17 Mon (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Sharp proper estimation of fixed-component Gaussian location mixtures in polynomial time
Hengzhi He, Guang Cheng
https://arxiv.org/abs/2608.12701 https://arxiv.org/pdf/2608.12701 https://arxiv.org/html/2608.12701
arXiv:2608.12701v1 Announce Type: new
Abstract: We consider a mixture of at most $k$ unit-covariance Gaussians in $\mathbb{R}^d$ whose means belong to a fixed-radius ball, with no separation or minimum-weight condition. Doss, Wu, Yang and Zhou (2023) proved that the minimax Hellinger risk is of order $\sqrt{d/n}\wedge 1$ and constructed a proper polynomial-time estimator with the slower general bound $(d/n)^{1/4}$; obtaining the sharp rate in polynomial time for fixed $k\geq 3$ was left open. We resolve this question. The key device is a moment-fiber range finder. A second-moment subspace controls the energy missed by projection. We then estimate finitely many one-free-index Hermite contractions. These vector-valued contractions recover every tensor component containing exactly one missed direction at the sharp $\sqrt{d/n}$ scale. Every remaining term contains at least two missed factors and is therefore controlled by the residual second-moment energy. The resulting subspace has dimension depending only on $k$. Exhaustive moment fitting in this constant-dimensional space produces a proper mixture and, together with the dimension-free moment characterization of Gaussian mixtures, achieves the optimal Hellinger rate in polynomial arithmetic time for every fixed $k$.
toXiv_bot_toot
Universality of e-detectors for ARL control
Aaditya Ramdas
https://arxiv.org/abs/2608.12660 https://arxiv.org/pdf/2608.12660 https://arxiv.org/html/2608.12660
arXiv:2608.12660v1 Announce Type: new
Abstract: An e-detector for a pre-change class $\mathcal P$ is a nonnegative process $M$ such that $\mathbb E_P[M_\tau] \leq \mathbb E_P[\tau]$ for all stopping times $\tau$ and all $P \in \mathcal P$. Thresholding e-detectors controls the average run length (ARL): declaring a change at the first time $T_b$ when $M$ crosses $b$ ensures that $\inf_{P \in \mathcal P}\mathbb E_P[T] \geq b$. But e-detectors do substantially more than control the ARL; they also satisfy a \emph{optional-horizon inequality}: \[ P(T_b\leq\sigma)\leq \mathbb E_P[\sigma]/b \] for every data-dependent stopping time (monitoring horizon) \(\sigma\) and $P\in \mathcal P$. In particular, every e-detector-based procedure obeys $P(T\leq t)\leq t/b$ at each fixed $t$, thus avoiding early false alarms. Remarkably, the converse also holds: every stopping time $T$ that satisfies the optional-horizon inequality must in fact arise from thresholding an e-detector. We also derive a universal representation of stopping times that satisfy (only) ARL control. These are represented by \emph{weak} e-detectors, that only require $\mathbb E_P[M_\tau] \leq \mathbb E_P[\tau]$ to hold at all threshold stopping times $T_b$. Appendices present universal representations for other (less common) change detection metrics.
toXiv_bot_toot
Density Estimation on Compact Manifolds under Intrinsic Spectral Block Variation
Olga Klopp, Fedor Noskov
https://arxiv.org/abs/2608.12637 https://arxiv.org/pdf/2608.12637 https://arxiv.org/html/2608.12637
arXiv:2608.12637v1 Announce Type: new
Abstract: We introduce an intrinsic spectral sparsity model for nonparametric density estimation on compact connected Riemannian manifolds. Instead of penalizing coefficients in an arbitrarily chosen Laplace--Beltrami eigenbasis, we group each complete eigenspace and measure the Hilbert norm of its spectral component. The resulting block-variation space is basis independent and isometry invariant. We establish its structural, atomic, and nonlinear approximation properties and clarify its relation to Sobolev, Besov, and coefficientwise spectral $\ell^1$ classes. We then construct a coordinate-free block-shrinkage estimator and prove a nonasymptotic signal-dependent $L^2$-oracle inequality that adapts to the unknown set of detectable eigenspaces. Under polynomial spectral growth, the risk theory separates the number of spectral blocks from their multiplicities and exhibits two regimes: one driven by a single high-dimensional eigenspace and the other by cumulative spectral complexity. Under matching spectral-growth and nondegeneracy assumptions, corresponding minimax lower bounds show that this multiplicity dependence is intrinsic, with sharp consequences for spheres and the rotation group $SO(3)$. Finally, we develop a positive, normalized, block-penalized exponential spectral sieve for log-densities and derive likelihood oracle inequalities together with expected Kullback--Leibler, Hellinger, and $L^2$ risk bounds. The resulting framework provides a geometry-respecting theory of sparse density estimation that remains invariant under changes of eigenbasis.
toXiv_bot_toot
[2026-08-14 Fri (UTC), 8 new articles found for math.ST Statistics Theory]
toXiv_bot_toot
Photoemission study of Iodoalkanes
Maximilian Forster, Maximilian Pollanka, Sven-Joachim Paul, Pascal Freisinger, Christian Schr\"oder, Robert Richter, Michele Alagia, Alessio Bruno, Stefano Stranges, Reinhard Kienberger
https://arxiv.org/abs/2610.19055
On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective
Nestor R. Barraza, Gabriel Pena
https://arxiv.org/abs/2608.13510 https://arxiv.org/pdf/2608.13510 https://arxiv.org/html/2608.13510
arXiv:2608.13510v1 Announce Type: new
Abstract: Machine learning procedures are commonly evaluated in terms of predictive accuracy and computational efficiency. However, their achievable performance is fundamentally constrained by structural properties of the underlying data-generating process, which are formalized in terms of informational bounds. In this work we examine intrinsic limits of data-driven decision systems from an information-theoretic and interaction-based perspective. We analyze minimal achievable error in classification through Fano-type bounds and precision limits in parametric estimation via the Cram\'er-Rao inequality, emphasizing that such limits depend on the underlying model rather than on algorithmic sophistication alone. We further discuss how implicit assumptions, such as independence, ergodicity, and distributional stability, affect the validity of inferential procedures. Building on interaction-based modeling principles, we review typical frameworks such as Markov Random Fields and potential based representations for encoding dependence mechanisms. We also describe decision systems, including LLM-integrated agent architectures, as feedback-driven stochastic processes where state-dependent dynamics may induce emergent macroscopic behavior. This perspective highlights the importance of having adequate models for the data as a prerequi- site for expanding predictive capability, and situates algorithmic learning within the informational limits imposed by the models.
toXiv_bot_toot
[2026-10-15 Thu (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
On Bridging Mixture Distributions
Pierre Del Moral, Ajay Jasra, Ke Zhao
https://arxiv.org/abs/2608.13383 https://arxiv.org/pdf/2608.13383 https://arxiv.org/html/2608.13383
arXiv:2608.13383v1 Announce Type: new
Abstract: In this article we consider bridging between two mixture probability measures. In particular, given access to a Markov kernel between two component distributions, we provide a general mechanism to generate samples from one mixture to the other. Associated to a given reference and extended state space, we prove entropic optimality of this approach. In order to use this idea one needs to know the underlying mixtures and the Markov kernel, which is seldom available, and so we consider the case of Gaussian mixtures and Schr\"odinger Bridges. We prove a general $2-$Wasserstein continuity bound between the exact bridge and one that is approximated, based on $\epsilon-$covariance inflation, and these rely on a novel continuity analysis of perturbed Riccati maps. We apply our results in the context of bridging mixtures of Gaussians, single Gaussians and empirical estimators of the Gaussian parameters and the Monge map. For mixtures of Gaussians, when the parameters are estimated using the Expectation-Maxmization algorithm, the upper-bound on the $2-$Wasserstein distance between the true and approximated bridges is, under assumptions and with probability at least $1-10N^{-1}$, $\mathcal{O}\big(\big[\big(\tfrac{d\log N}{N}\big)^{1/2}\left\{1 \big(\tfrac{d\log N}{N}\right)^{1/2}(\epsilon^{-2} 1)\big\} \epsilon^2\big]\big) $
and for the other two cases, in expectation, $\mathcal{O}\left(d\left\{\tfrac{1 \epsilon^{-2}}{1 N} \epsilon^2\right\}\right)$, where $d,N\in\mathbb{N}$ is the dimension of the Gaussian and the number of empirical samples respectively. We also investigate our bounds numerically.
toXiv_bot_toot
Foundations of Independent Component Analysis
Patrick Forr\'e
https://arxiv.org/abs/2608.13229 https://arxiv.org/pdf/2608.13229 https://arxiv.org/html/2608.13229
arXiv:2608.13229v1 Announce Type: new
Abstract: We present the mathematical foundations of linear independent component analysis (ICA) models based on standard literature in a self-contained note. It is aimed at readers with a background in measure-theoretic probability theory. We first develop the theory of the characteristic functions of probability measures on $\mathbb{R}^d$, including their analyticity and the way in which they determine and characterise the distributions. We then focus on several identifiability results of ICA models with successively strengthened assumptions on the sources: from merely non-constant, to non-Gaussian, to Gaussian-free independent sources. Under the strictest assumptions, we show that the independent sources are identifiable up to translation, permutation, scales and signs, and this even in the presence of additive Gaussian noise. Furthermore, we present the online equivariant gradient descent ICA algorithm for recovering the independent sources from data, in the standard complete noiseless non-Gaussian ICA setting.
toXiv_bot_toot
Weighted Nuclear Elastic Net Estimation of (Near-) Low-Rank Drift Matrices in Ornstein-Uhlenbeck Processes
Dmytro Marushkevych, Francisco Pina, Mark Podolskij
https://arxiv.org/abs/2608.12838 https://arxiv.org/pdf/2608.12838 https://arxiv.org/html/2608.12838
arXiv:2608.12838v1 Announce Type: new
Abstract: We study estimation of the drift matrix in a continuously observed high-dimensional Ornstein-Uhlenbeck process when the drift is exactly or approximately low rank. In this setting, exact low rank induces non-stable directions and hence a non-ergodic regime, resulting in a poorly conditioned empirical covariance matrix. To address this difficulty, we introduce a Weighted Nuclear Elastic Net Estimator that combines ridge regularization with a nuclear-norm penalty expressed in the empirical likelihood geometry.
Under a general diagonalizable spectral framework, we establish oracle inequalities relative to arbitrary low-rank comparison matrices. For near low-rank drifts, the approximation error is naturally measured through the singular-value decay of the drift after weighting by the regularized empirical covariance. The stochastic term is controlled by self-normalized martingale arguments under appropriate choice of the tuning parameter.
For a symmetric positive-semidefinite exact low-rank model, we verify the empirical-curvature condition required to translate the weighted bound into a Frobenius-norm bound. With an appropriate choice of tuning parameters, the resulting estimator satisfies, up to a logarithmic factor, the standard rank-$r$ matrix-estimation scaling $r d/T$: specifically, its squared Frobenius error is of order $r d\log(T)/T$ with high probability, under an explicit dimension-horizon condition.
toXiv_bot_toot
Hyper-V uniform ergodicity of Markov chains
Austin Brown, Kshitij Khare
https://arxiv.org/abs/2608.12738 https://arxiv.org/pdf/2608.12738 https://arxiv.org/html/2608.12738
arXiv:2608.12738v1 Announce Type: new
Abstract: We develop a new uniform drift condition and local minorization that implies a stronger weighted form of uniform ergodicity for Markov chains we call hyper-V uniform ergodicity. The convergence guarantees geometric decay of the bias towards the invariant measure independently of the initialization for all functions controlled by a dominating function V. A key advantage of the approach is that it bypasses the need to establish a global minorization condition, which is often substantially more difficult to verify in practice, while yielding stronger convergence guarantees than global minorization. Optimal convergence bounds in a minimax sense of the framework are established. The utility of the framework is demonstrated through applications to the P'olya-Gamma and Kolmogorov-Gamma Gibbs samplers. We also show qualitative hyper-V uniform ergodicity convergence for two-variable Gibbs samplers can be inferred by the form of the invariant measure, bypassing convergence analysis entirely.
toXiv_bot_toot
Additional ionization during nuclear $\beta^{\pm}$ decay in atomic systems
Alexei M. Frolov
https://arxiv.org/abs/2610.14109 https://arxiv.org/pdf/2610.141…
[2026-10-14 Wed (UTC), 11 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
Critical Microwave Mach-Zehnder-Type Interferometry with Dual-LO Rydberg Atoms
Jun-Rong Chen, Guo-Qing Qin, Peng-Fu Liang, He Hao, Ming-Min Zhao, Ling-Qiang Meng, Gui-Lan Li, Min-Jian Zhao, Bin-Bin Wei, Hao Tian
https://arxiv.org/abs/2608.13222
Precision Positronium Spectroscopy as a Test of the Helium Ionization Energy Anomaly
J. P\'{e}rez-R\'{i}os, D. B. Cassidy
https://arxiv.org/abs/2608.12747 https://
Predissociation dynamics of charged long-range Rydberg molecules
Neethu Abraham, P. Giannakeas, Matthew T. Eiles
https://arxiv.org/abs/2608.12716 https://a…
[2026-08-14 Fri (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot
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