Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- Learning Stiff Dynamical Operators: Scaling, Fast-Slow Excitation, and Eigen-Consistent Neural Mo...
Mauro Valorani
https://arxiv.org/abs/2601.01632 https://mastoxiv.page/@arXiv_physicscompph_bot/115847284915795620
- How Physical Dynamics Shape the Properties of Ising Machines: Evaluating Oscillators vs. Bistable...
Abir Hasan, Nikhil Shukla
https://arxiv.org/abs/2603.06843 https://mastoxiv.page/@arXiv_physicscompph_bot/116204003660873932
- Quantum metric-induced generalized magneto-optical effects in $\mathcal{PT}$-symmetric antiferrom...
Yongpan Li, Yichen Liu, Cheng-Cheng Liu
https://arxiv.org/abs/2503.04312 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/114120036631640231
- Filtered Quantum Phase Estimation
Gwonhak Lee, Minhyeok Kang, Jungsoo Hong, Stepan Fomichev, Joonsuk Huh
https://arxiv.org/abs/2510.04294 https://mastoxiv.page/@arXiv_quantph_bot/115332659452746830
- NAVIS: A LAMMPS-Python framework for efficient computation of nanochannel velocity and thermal in...
Sleeba Varghese, Sobin Alosious, Jesper Schmidt Hansen, Billy Dean Todd
https://arxiv.org/abs/2601.11391 https://mastoxiv.page/@arXiv_condmatsoft_bot/115920990500539102
- Fast proton transport and neutron production in proton therapy using Fourier neural operators
Blangiardi, Ratliff, Teichert, Ytre-Hauge, Langer, Meric
https://arxiv.org/abs/2603.03912 https://mastoxiv.page/@arXiv_physicsmedph_bot/116175752411043510
- Smoluchowski Coagulation Equation and the Evolution of Primordial Black Hole Clusters
Borui Zhang, Wei-Xiang Feng, Haipeng An
https://arxiv.org/abs/2604.01684 https://mastoxiv.page/@arXiv_astrophCO_bot/116339761602853235
- Identical Particle Systems : Hierarchical Spectral Reconstruction
Hovan Lee, R\'emi Lef\`evre, Gr\'egoire Ithier
https://arxiv.org/abs/2605.02864 https://mastoxiv.page/@arXiv_quantph_bot/116521159694499994
- A matrix free action of the Ashtekar-Lewandowski volume operator of loop quantum gravity
Waleed Sherif
https://arxiv.org/abs/2606.18397 https://mastoxiv.page/@arXiv_grqc_bot/116770027887442756
toXiv_bot_toot
Replaced article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Low-degree mod 2 cohomology of classifying spaces of $G_2$-gauge groups
Dang Vo Phuc
https://arxiv.org/abs/2512.12195 https://mastoxiv.page/@arXiv_mathAT_bot/115728413632127609
- A constructive proof for the simple connectedness of finite subset spaces
J\=anis Lazovskis
https://arxiv.org/abs/2602.09815 https://mastoxiv.page/@arXiv_mathAT_bot/116051017610760615
- Quantum Cellular Automata: The Group, the Space, and the Spectrum
Mattie Ji, Bowen Yang
https://arxiv.org/abs/2602.16572 https://mastoxiv.page/@arXiv_mathAT_bot/116096221770061192
- On the equivariant $KU_G$-local sphere for finite abelian groups
Yingxin Li
https://arxiv.org/abs/2605.30285 https://mastoxiv.page/@arXiv_mathAT_bot/116656745104853224
- New model structures for Algebraic Quantum Field Theory
Victor Carmona
https://arxiv.org/abs/2107.14176
- Shimura data and corners: topology
J. Wildeshaus
https://arxiv.org/abs/2206.15361
- Equivariant Elliptic Cohomology and Mapping Stacks
Nicol\`o Sibilla, Paolo Tomasini
https://arxiv.org/abs/2303.10146 https://mastoxiv.page/@arXiv_mathAG_bot/110054433473145905
- Higher-dimensional generalization of Youngs' theorem and circular colorings
Kengo Enami, Takahiro Matsushita
https://arxiv.org/abs/2505.23562 https://mastoxiv.page/@arXiv_mathCO_bot/114595592462927480
- Elementary $\infty$-toposes from type theory
Dani\"el Apol, Maximilian Petrowitsch
https://arxiv.org/abs/2512.18891 https://mastoxiv.page/@arXiv_mathCT_bot/115768156994168598
toXiv_bot_toot
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/2]:
- Interpolation of Microscale Stress and Strain Fields Based on Mechanical Models
Wenzhe Shan, Udo Nackenhorst
https://arxiv.org/abs/2104.09749
- Joint discovery of governing partial differential equations from multi-source datasets by competi...
Hao Xu, Siyu Lou, Yuntian Chen, Dongxiao Zhang
https://arxiv.org/abs/2606.30699 https://mastoxiv.page/@arXiv_csLG_bot/116843565775934283
- LinApart3: efficient algorithm for multivariate partial fraction decomposition with linear denomi...
L. Fek\'esh\'azy, A. Kardos
https://arxiv.org/abs/2606.30708 https://mastoxiv.page/@arXiv_hepph_bot/116843629511193799
- Introducing AuriGLOBES: the effect of compressive tides, compact object-induced mass loss, and si...
Pablo Contreras Guerra, Robert J. J. Grand, Marta Reina-Campos, Claudio Dalla Vecchia
https://arxiv.org/abs/2606.30746 https://mastoxiv.page/@arXiv_astrophGA_bot/116843732310368458
- Time-dependent adaptive mesh refinement solver for the Gross-Pitaevskii-Poisson equations
Iv\'an \'Alvarez-Rios
https://arxiv.org/abs/2606.30827 https://mastoxiv.page/@arXiv_astrophGA_bot/116843767701812779
- Computed materials proposals depart from the structural memory of experimental discovery
Dan Nguyen, Karen Cao, Brian Chu, Nick Lemoff, Paul Kienzle, William Ratcliff II
https://arxiv.org/abs/2606.30967 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116843665854969922
- An Enhanced RPA-LDA Model for Ion Stopping Power from Cold Matter to High-Energy Density Plasmas:...
Thomas A. Mehlhorn, Ming Feng Gu, Igor Golovkin
https://arxiv.org/abs/2606.30978 https://mastoxiv.page/@arXiv_physicsplasmph_bot/116843597824839239
- Full-Wave Green's-Function Modeling of Collective Single-Photon Emission in Non-Markovian Open-Sy...
Hyunwoo Choi, Jisang Seo, Junwoo Gim, Bowoo Jang, Weng C. Chew, Dong-Yeop Na
https://arxiv.org/abs/2606.31317 https://mastoxiv.page/@arXiv_quantph_bot/116843791099390803
- Side-Chain Tuning of Thermal-Expansion Crossover in Metal-Organic Frameworks
Wei Qiu, Penghua Ying
https://arxiv.org/abs/2606.31417 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116843748631678308
toXiv_bot_toot
Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Diffusiophoretic transport of colloids and emulsions in complex environments
Amir A. Pahlavan
https://arxiv.org/abs/2607.01031 https://mastoxiv.page/@arXiv_condmatsoft_bot/116849321690610175
- Verification of a sequential thermo-poroelasticity formulation in PFLOTRAN
J. Al Kubaisy, G. E. Hammond, S. Karra, J. Burghardt, L. Murdoch, T. Johnson, K. M. Rosso
https://arxiv.org/abs/2607.01156 https://mastoxiv.page/@arXiv_physicscompph_bot/116849307307337867
toXiv_bot_toot
Shall I tell you the secret to "AI security"? It's actually really simple. You heard that AIs can hallucinate, right? Well... that's the secret. Treat an AI like that. It's unreliable. You cannot trust it. That obviously means your AI should not decide whether or not to delete your data. Or whether or not to reset a user's password without authentication.
Pretty much all AI security issues can be traced back to that.
Crosslisted article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Scalar Curvature, Volumes and the Bergman Kernel
Bo-Yong Chen, Yuanpu Xiong, Liyou Zhang
https://arxiv.org/abs/2606.01153 https://mastoxiv.page/@arXiv_mathDG_bot/116679443889586205
- A natural e\~ne product construction of the Big Witt ring
Daniel Barsky, Ricardo Perez-Marco, Jean-Pierre Ramis
https://arxiv.org/abs/2606.01395 https://mastoxiv.page/@arXiv_mathRA_bot/116679451585777679
- Infinitely many holes in connectedness loci for collinear affine iterated function systems
Bernat Espigule
https://arxiv.org/abs/2606.01467 https://mastoxiv.page/@arXiv_mathDS_bot/116679410071504745
toXiv_bot_toot
«Hacker nutzen Support-Bot von Meta, um Instagram-Konten zu kapern:
Ein kritischer Fehler im KI-Support von Meta führte dazu, dass Angreifer fremde Instagram-Konten kapern konnten. Selbst das offizielle Archiv-Konto des Weißen Hauses unter Barack Obama war betroffen. […]»
Ein Argument mehr um Meta Produkte nicht zu nutzen. Was daran vorallem auffällt, ist dass das plumpen überreden von den "Hacker" der KI zum ausnutzen ausreicht.
🙄
Crosslisted article(s) found for cs.OS. https://arxiv.org/list/cs.OS/new
[1/1]:
- Beyond Edge Coverage: Per-Task Data-Flow Extraction at Kernel Function Boundaries via LLVM
Yunseong Kim
https://arxiv.org/abs/2606.00455 https://mastoxiv.page/@arXiv_csCR_bot/116679551831736060
toXiv_bot_toot
Crosslisted article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Towards fast computation of higher discrete homology
Jacob Ender, Chris Kapulkin
https://arxiv.org/abs/2606.00245 https://mastoxiv.page/@arXiv_csCG_bot/116679339682085058
- Real analytic lift of foliations of Thurston and Tsuboi
Teruaki Kitano, Yoshihiko Mitsumatsu, Shigeyuki Morita
https://arxiv.org/abs/2606.01017 https://mastoxiv.page/@arXiv_mathGT_bot/116679449001037203
- Minimal intersection radius for $n$ growing, non-homogeneous ellipsoids in $\mathbb{R}^d$
Barbara Giunti, Sean Hill, Felix X. -F. Ye
https://arxiv.org/abs/2606.01548 https://mastoxiv.page/@arXiv_mathOC_bot/116679612978757695
toXiv_bot_toot
[2026-06-02 Tue (UTC), no new articles found for q-fin.RM Risk Management]
toXiv_bot_toot
[2026-06-01 Mon (UTC), 2 new articles found for nlin.CG Cellular Automata and Lattice Gases]
toXiv_bot_toot
Lake Mary, Florida-based Spur Intelligence, which helps distinguish human and bot traffic to find fake users and threats, raised $200M led by Insight Partners (Julie Bort/TechCrunch)
https://techcrunch.com/2026/07/28/bot-detection-startup-spur-nabs-200m-f…
Gassolini
bot by @…
No laws were broken in the making of this bot: let's not make entertainment lead to internment.
#satire #potus45
Replaced article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- How Physical Dynamics Shape the Properties of Ising Machines: Evaluating Oscillators vs. Bistable...
Abir Hasan, Nikhil Shukla
https://arxiv.org/abs/2603.06843 https://mastoxiv.page/@arXiv_physicscompph_bot/116204003660873932
- Pulgon-tools: A toolkit for analysing and harnessing symmetries in quasi-1D systems
Yu-Jie Cen, Sandro Wieser, Georg K. H. Madsen, Jes\'us Carrete
https://arxiv.org/abs/2603.28435 https://mastoxiv.page/@arXiv_physicscompph_bot/116322896642584491
- MADField: Multi-fidelity Amortized Density Field for Adsorption in Nanoporous Materials
Yoonho Kim, Seongsu Kim, Sungsoo Ahn, Honghui Kim
https://arxiv.org/abs/2606.21284 https://mastoxiv.page/@arXiv_physicscompph_bot/116798531764581123
- Monte Carlo Physics-informed Neural Networks for Inverse Multiscale Heat Conduction Problems via ...
Qingyi Lin, Chuang Zhang, Xuhui Meng, Zhaoli Guo
https://arxiv.org/abs/2606.25793 https://mastoxiv.page/@arXiv_physicscompph_bot/116809736857979012
- TRIDS: AI-native molecular docking framework for accelerating high-throughput virtual screening w...
Liu, Zhang, Xue, Hao, Bing, Chai, Zhao, Yang, Zhang, Gao
https://arxiv.org/abs/2510.24186 https://mastoxiv.page/@arXiv_physicschemph_bot/115456702015641743
- Absence of poor local minima in matrix product states
Hao-Kai Zhang, Chenghong Zhu, Shuo Liu, Shi-Xin Zhang, Tao Xiang
https://arxiv.org/abs/2606.09988 https://mastoxiv.page/@arXiv_quantph_bot/116724766789822682
toXiv_bot_toot
[2026-06-02 Tue (UTC), 1 new article found for math.GN General Topology]
toXiv_bot_toot
Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Steadily moving semi-infinite fracture in plane poroelasticity
Evgenii Kanin, Andreas M\"ori, Dmitry Garagash, Brice Lecampion
https://arxiv.org/abs/2604.18483 https://mastoxiv.page/@arXiv_physicsgeoph_bot/116441660700474747
- Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling
Boris Kriuk
https://arxiv.org/abs/2606.13695 https://mastoxiv.page/@arXiv_physicsgeoph_bot/116753002636569610
toXiv_bot_toot
Replaced article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Quantization of K\"ahler manifolds via differential operators
Kwokwai Chan, Naichung Conan Leung, Qin Li, Yutung Yau
https://arxiv.org/abs/2511.16889 https://mastoxiv.page/@arXiv_mathDG_bot/115603588434367651
- Planar $W^{1,\,1}$-extension domains
Pekka Koskela, Tapio Rajala, Yi Ru-Ya Zhang
https://arxiv.org/abs/2512.09167 https://mastoxiv.page/@arXiv_mathFA_bot/115699861520267528
- The Kobayashi-Hitchin correspondence for nef and big classes
Satoshi Jinnouchi
https://arxiv.org/abs/2603.10312 https://mastoxiv.page/@arXiv_mathDG_bot/116215312082065439
toXiv_bot_toot
Replaced article(s) found for cs.OS. https://arxiv.org/list/cs.OS/new
[1/1]:
- TuneAgent: Agentic Operating System Kernel Tuning with Reinforcement Learning
Hongyu Lin, Yuchen Li, Haoran Luo, Zhenghong Lin, Libo Zhang, Mingjie Xing, Yanjun Wu
https://arxiv.org/abs/2508.12551 https://mastoxiv.page/@arXiv_csLG_bot/115055236888864569
toXiv_bot_toot
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[1/1]:
- A High-Order Arbitrary Lagrangian-Eulerian Discontinuous Galerkin Method for the Boltzmann Equati...
Atakan Aygun, Onur Ata, Tim Warburton, Ali Karakus
https://arxiv.org/abs/2607.00199 https://mastoxiv.page/@arXiv_physicsfludyn_bot/116849258941218034
- A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Pre...
Xin-Yang Liu, Xiantao Fan, Jian-Xun Wang
https://arxiv.org/abs/2607.00460 https://mastoxiv.page/@arXiv_csCE_bot/116849212144848429
- When is vaccine prioritization worth optimizing?
Mi Feng, Zhaohua Lin, Changsong Zhou, Liang Tian
https://arxiv.org/abs/2607.00484 https://mastoxiv.page/@arXiv_physicsbioph_bot/116849279781216938
- A Nonstandard Finite Difference Scheme for a Nonlinear Parabolic Equation with p-Laplacian-Type D...
Achraf Zinihi, Matthias Ehrhardt, Moulay Rchid Sidi Ammi
https://arxiv.org/abs/2607.00489 https://mastoxiv.page/@arXiv_mathNA_bot/116849363932310131
- The BiP-PRISM algorithm for fast and scalable core-loss STEM-EELS simulations
Philipp Pelz
https://arxiv.org/abs/2607.00756 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116849366488683473
toXiv_bot_toot
Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Regimes of rotating convection in an experimental model of the Earth's tangent cylinder
Rishav Agrawal, Martin Holdsworth, Alban Poth\'erat
https://arxiv.org/abs/2408.07837 https://mastoxiv.page/@arXiv_physicsgeoph_bot/112970809988434109
- Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
Bo, Elsheikh, Menke, Maes, Geiger, Kashim, Bakar, Singh
https://arxiv.org/abs/2602.06989 https://mastoxiv.page/@arXiv_physicsgeoph_bot/116045261443672160
- Guided Unconditional and Conditional Generative Models for Super-Resolution and Inference of Quas...
Anantha Narayanan Suresh Babu, Akhil Sadam, Pierre F. J. Lermusiaux
https://arxiv.org/abs/2507.00719 https://mastoxiv.page/@arXiv_physicsfludyn_bot/114782990520242000
- PCP-GAN: Property-Constrained Pore-scale image reconstruction via conditional Generative Adversar...
Ali Sadeghkhani, Brandon Bennett, Masoud Babaei, Arash Rabbani
https://arxiv.org/abs/2510.19465 https://mastoxiv.page/@arXiv_csCV_bot/115422929244004682
- Fate of Secondary Droplets Produced by High-speed Raindrops Interacting with a Liquid Pool
Han-Hsiang Kuo, Xuanting Hao
https://arxiv.org/abs/2604.10491 https://mastoxiv.page/@arXiv_physicsfludyn_bot/116402146676519672
- Excursion-set structure factor of the auroral electric field
Magnus F Ivarsen, Kaili Song, Jean-Pierre St-Maurice, Glenn C Hussey
https://arxiv.org/abs/2606.26854 https://mastoxiv.page/@arXiv_physicsspaceph_bot/116815350546290631
toXiv_bot_toot
[2026-06-01 Mon (UTC), no new articles found for q-fin.RM Risk Management]
toXiv_bot_toot
[2026-06-02 Tue (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
toXiv_bot_toot
BLOATUS
bot by @…
No laws were broken in the making of this bot: please don't extraordinarily rendition me to a black site.
#satire #potus45
[2026-06-01 Mon (UTC), no new articles found for math.GN General Topology]
toXiv_bot_toot
Crosslisted article(s) found for physics.comp-ph. https://arxiv.org/list/physics.comp-ph/new
[2/2]:
- Fully compensated ferrimagnetic triferroics and multistate transport in hidden-phase wurtzite MnS...
Zhuang Ma, Hongfei Liang, Po Ma, Guangqian Ding, Xuehao Wu, Sikander Azam, Guoying Gao, Long Zhang
https://arxiv.org/abs/2606.31419 https://mastoxiv.page/@arXiv_physicsappph_bot/116843598417234230
- Mesoscopic simulations of linear and ring polymer solutions with explicit hydrodynamics under goo...
Ashish Kumar Singh, Angelo Rosa
https://arxiv.org/abs/2606.31656 https://mastoxiv.page/@arXiv_condmatsoft_bot/116843658778265550
- GQL-Based Physical-Constraint-Preserving High-Order Finite Difference Schemes for Special Relativ...
Linfeng Xu, Shengrong Ding, Kailiang Wu
https://arxiv.org/abs/2606.31992 https://mastoxiv.page/@arXiv_mathNA_bot/116843746861915057
toXiv_bot_toot
[2026-06-02 Tue (UTC), 3 new articles found for cs.OS Operating Systems]
toXiv_bot_toot
Crosslisted article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Probabilistic Inversion with Flow Matching
Baldur Paulwitz, Stefan Buske
https://arxiv.org/abs/2606.31288 https://mastoxiv.page/@arXiv_csLG_bot/116843787558583720
toXiv_bot_toot
Replaced article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Low-degree mod 2 cohomology of classifying spaces of $G_2$-gauge groups
Dang Vo Phuc
Fiberace
bot by @…
No laws were broken in the making of this bot: I hope you'll lol, not take legal action.
#satire #potus45
$L^p$-boundedness of Berezin transforms on generalized Hartogs triangles
Qian Fu
https://arxiv.org/abs/2606.02364 https://arxiv.org/pdf/2606.02364 https://arxiv.org/html/2606.02364
arXiv:2606.02364v1 Announce Type: new
Abstract: Let $m,l\in\N$ be relatively prime and let \[ \Omega_{m/l}^{n 1}=\bigl\{(z,w)\in\C^n\times\C:\ \norm{z}^{m}<\abs{w}^{l}<1\bigr\} \] be the rational generalized Hartogs triangle of exponent $m/l$ in $\C^{n 1}$. In this paper, we study the Berezin transform $\BB_{m/l,n}$ associated with the Bergman kernel of $\Omega_{m/l}^{n 1}$, and prove that $\BB_{m/l,n}$ is bounded on $L^p(\Omega_{m/l}^{n 1})$ if and only if $p>m nl$.
toXiv_bot_toot
[2026-06-01 Mon (UTC), no new articles found for cs.OS Operating Systems]
toXiv_bot_toot
Crosslisted article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Towards fast computation of higher discrete homology
Jacob Ender, Chris Kapulkin
Pedoführer
bot by @…
No laws were broken in the making of this bot: let's not have humor lead to homicide.
#satire #potus45
Strong Localization of the Kobayashi-Eisenman Volume Element and Its Boundary Asymptotics
Ravi Shankar Jaiswal, Debaprasanna Kar
https://arxiv.org/abs/2606.01773 https://arxiv.org/pdf/2606.01773 https://arxiv.org/html/2606.01773
arXiv:2606.01773v1 Announce Type: new
Abstract: We establish a quantitative version of strong localization of the Kobayashi-Eisenman volume element and the quotient invariant near plurisubharmonic peak points of domains in $\mathbb{C}^n$. As an application of this strong localization result, we derive the non-tangential asymptotic limit of the Kobayashi-Eisenman volume element at exponentially flat infinite type boundary points of domains in $\mathbb{C}^{n 1}$.
toXiv_bot_toot
Characterizing Metastable Faults and Failures
Ali Farahbakhsh (Cornell University), Qingjie Lu (University of Pennsylvania), Lorenzo Alvisi (Cornell University), Andreas Haeberlen (University of Pennsylvania), Robbert Van Renesse (Cornell University)
https://arxiv.org/abs/2606.00942 https://arxiv.org/pdf/2606.00942 https://arxiv.org/html/2606.00942
arXiv:2606.00942v1 Announce Type: new
Abstract: Metastable failures are hard to detect, prevent, and mitigate. During a metastable failure, a system exhibits self-sustaining bad behavior even in the absence of adversarial conditions. Prior work focuses on symptoms and has portrayed metastable failures as instances of self-sustaining overload. This characterization leaves the underlying failure causes and dynamics unknown, and does not account for metastable failures that do not manifest as overload. We present the first causal characterization of metastable failures by identifying their origin in metastable faults, i.e., structural destabilizing cycles of interaction among systems components that, in isolation, are stabilizing. Metastable failures arise when scheduling decisions let these destabilizing interactions gain the upper hand over the individual components' stabilizing tendencies. We then derive a methodology to predict metastable failures, and to build metastable-fault-tolerant (MFT) systems. We apply our methodology to three case studies, showcasing the generality of our results.
toXiv_bot_toot
[2026-07-02 Thu (UTC), 1 new article found for physics.geo-ph Geophysics]
toXiv_bot_toot
The Nodfather
bot by @…
No laws were broken in the making of this bot: please don't ruin my life.
#satire #potus45
[2026-07-01 Wed (UTC), 1 new article found for physics.geo-ph Geophysics]
toXiv_bot_toot
Idleness is Relative: Exploiting Tool-Call Idle Windows for Offloading in Agentic Systems with MORI
Tian Xia, Hanchen Li, Zhifei Li, Xiaokun Chen, Hao Kang, Yifan Qiao, Yi Xu, Ion Stoica
https://arxiv.org/abs/2606.00866 https://arxiv.org/pdf/2606.00866 https://arxiv.org/html/2606.00866
arXiv:2606.00866v1 Announce Type: new
Abstract: Modern LLM serving systems increasingly host agentic workloads, whose sessions issue tens of model invocations interleaved with tool calls, accumulating KV cache that can be reused across steps. As requests' total KV cache size easily exceeds GPU HBM capacity, researchers offload them to CPU DRAM. However, tool-call durations span orders of magnitude, and the cost of transferring KV cache between tiers makes it impractical to re-place entries on every call. We observe that agentic programs exhibit a two-phase structure: busy phases of rapid short tool calls and idle phases dominated by long-running calls. Current eviction policies such as LRU fail to capture this property. A binary busy/idle label also falls short because the ratio of busy to idle programs may not match the hardware's GPU-to-CPU capacity ratio. When it does not, one tier sits underutilized while the other is oversubscribed, wasting memory or forcing unnecessary evictions. We present MORI, an agent serving system that solves the above problem. Our key insight is that idleness is a continuous, relative spectrum. MORI ranks all active programs by idleness, assigns the busiest to GPU HBM and the most idle to CPU DRAM, dynamically shifts the partition boundary to match hardware capacity, and enforces admission control at each memory tier. Evaluated on real coding agent workloads collected from Claude Code across four GPU and model pairs, MORI delivers 20--71% higher throughput and 18--43% lower TTFT than the best baseline with offloading.
toXiv_bot_toot
[2026-07-02 Thu (UTC), 4 new articles found for physics.comp-ph Computational Physics]
toXiv_bot_toot
Bargain Benito
bot by @…
No laws were broken in the making of this bot: please don't torture me.
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Edge-Based QoS-Aware Adaptive Task Placement: A Closed-Loop Control in Multi-Robot Systems
Thien Tran, Jonathan Kua, Thuong Hoang, Minh Tran, Honghao Lyu, Jiong Jin
https://arxiv.org/abs/2606.00552 https://arxiv.org/pdf/2606.00552 https://arxiv.org/html/2606.00552
arXiv:2606.00552v1 Announce Type: new
Abstract: Multi-robot systems (MRS) increasingly offload compute-intensive perception tasks to edge nodes to meet strict time-sensitive Quality-of-Service (QoS) constraints. However, static task orchestration on a shared edge node can severely degrade QoS due to network latency, jitter, and edge-resource contention. We present a pilot edge-centric MRS testbed using Raspberry Pi nodes to evaluate a camera-to-manipulator pipeline under three modes: local execution, static offloading, and a QoS-aware Adaptive Task Placement (ATP) controller. ATP scores candidate placements using a multi-metric cost (normalized latency, CPU utilization, and switching overhead) over two-second control windows. The closed-loop visual servoing testbed is instrumented with sub-millisecond clock synchronization, network emulation, and detailed monitoring of multiple metrics across nodes to capture realistic jitter. Experimental results under compute-stress and network-fault scenarios show that static edge offloading reduces on-board CPU load but amplifies tail latency and deadline misses. In contrast, the QoS-aware ATP controller, by switching task placement based on measured latency and utilization thresholds, consistently lowers deadline violations and tail latency. Overall, the results position ATP as a practical edge-side control primitive for MRS and concrete design guidelines for Cloud-Edge Robotics deployments within the broader cloud-fog automation, while motivating QoS-aware multi-objective workload orchestration for industrial cyber-physical systems.
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[2026-07-01 Wed (UTC), 4 new articles found for physics.comp-ph Computational Physics]
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Replaced article(s) found for physics.geo-ph. https://arxiv.org/list/physics.geo-ph/new
[1/1]:
- Radial gradient of superionic hydrogen in Earth's inner core
Zepeng Wu, Liangrui Wei, Chen Gao, Shunqing Wu, Renata M. Wentzcovitch, Yang Sun
https://arxiv.org/abs/2602.03509
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The effect of 20th century industrialization: Power station, acid rains, over-pumping, on an erstwhile uniform freshwater dune aquifer in Haifa Bay, Israel
Vasily Rogojin, Joel Kronfeld
https://arxiv.org/abs/2607.00893 https://arxiv.org/pdf/2607.00893 https://arxiv.org/html/2607.00893
arXiv:2607.00893v1 Announce Type: new
Abstract: A small phreatic sand dune aquifer lies along the shore of Haifa Bay. It has been exploited for its freshwater resources since the 1930s. During this time the salinity has increased continuously, partly by seawater intrusion due to overpumping. The chemistry of the young aquifer water is laterally variable and is characterized by excess SO$_4^{2-}$, high $Sr^{2 }$ concentrations above that of modern seawater, high alkalinity, and markedly enriched $\delta^{13}C_{DIC}$ values. Acidic winter rains, formed from $SO_x$ and $NO_x$ gaseous emissions from a nearby power station, leach the dry deposition that accumulated across the dune surface during the dry summers. The acidity also partially dissolves the aragonite sea shells in the dune sands, remnants of a previous marine transgression. As a consequence, this adds $Sr^{2 }$, $Ca^{2 }$ excess, and alkalinity, while leading to enriched $\delta^{13}C_{DIC}$ values, particularly during the winter, at which time the radiocarbon activity in the DIC is observed to decrease.
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Relaxation of Incommensurate Structures via Quantum Models
Mengfan Tu, Huajie Chen, Daniel Massatt
https://arxiv.org/abs/2606.31104 https://arxiv.org/pdf/2606.31104 https://arxiv.org/html/2606.31104
arXiv:2606.31104v1 Announce Type: new
Abstract: Accurately modeling structural relaxation in incommensurate systems is intrinsically challenging due to the absence of global translational symmetry. In this work, we develop a variational quantum framework for structural relaxation in incommensurate Schr\"{o}dinger models, where displacement fields are formulated on the configuration space and the electronic Hamiltonian is represented in reciprocal space. This yields well-defined relaxed energy, local density of states, and forces through thermodynamic limits. We propose an anisotropic scattering-channel approximation, and prove exponential convergence of the approximate equilibria. Numerical experiments are performed to support the analysis and show that the model captures domain-wall formation and its impact on the electronic spectrum.
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Scenario-conditioned flow matching for probabilistic generation of three-component ground-motion waveforms
Yi Ding, Jinjun Hu, Su Chen, Xianwei Liu, Zhongxiang Zhang, Zongchao Li, Xiaojun Li, Lili Xie
https://arxiv.org/abs/2606.31340 https://arxiv.org/pdf/2606.31340 https://arxiv.org/html/2606.31340
arXiv:2606.31340v1 Announce Type: new
Abstract: Performance-based seismic risk assessment requires three-component acceleration histories compatible with specified source, path, and site conditions. Conventional ground-motion prediction equations provide scalar intensity measures, while many generative waveform models learn amplitude and waveform shape within a single high-dimensional target. We present WaveFlowGMM, a two-stage probabilistic ground-motion model that uses peak ground acceleration (PGA) as an amplitude interface between scenario conditioning and waveform generation. The amplitude stage uses physics-informed symbolic learning to estimate component-wise PGA medians and a full cross-component covariance. The waveform stage uses few-step AlphaFlow in an invertible wavelet-packet coefficient space to generate normalised three-component histories that are rescaled by sampled PGA. Tests on an event-level NGA-West2 holdout set show that the generated motions recover the main magnitude, distance, and site scaling, keep peak and spectral residuals close to zero, preserve three-component amplitude dependence, and yield velocity and displacement histories without systematic drift after integration of the generated three-component acceleration histories. The framework provides an interpretable and computationally efficient candidate component for waveform-level seismic hazard and risk analysis.
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Lanczos Method for QRPA Strength Functions in Atomic Nuclei
Dong Min Roh, Chao Yang, Jonathan Engel, Matthew L. Dai
https://arxiv.org/abs/2607.01114 https://arxiv.org/pdf/2607.01114 https://arxiv.org/html/2607.01114
arXiv:2607.01114v1 Announce Type: new
Abstract: We present a symmetric Lanczos method for computing charge-changing QRPA strength functions in atomic nuclei. Starting from the finite-amplitude-method formulation of the QRPA linear-response problem, we derive equivalent spectral representations and, in the real case, a reduced eigenvalue problem involving the matrix products $MK$ and $KM$, where $M\equiv A B$ and $K\equiv A-B$ are formed from the usual QRPA matrices $A$ and $B$. The resulting formulation enables a matrix-free Lanczos approximation of the Lorentzian-smeared strength function over a broad energy interval from a single Krylov run, in contrast to conventional frequency-by-frequency response calculations. Numerical tests for $^{112}$Sn and $^{150}$Nd first show that GMRES reproduces the converged iterative FAM strength profiles while requiring fewer iterations. Using GMRES as the frequency-by-frequency reference, we then show that the Lanczos approximation reproduces the same strength profiles with reduced overall cost. These results indicate that symmetric Lanczos projection provides an efficient and accurate approach for QRPA strength-function calculations when spectral information is required over an extended frequency range.
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