Tootfinder

If you have a dialog on your page / screen and are trying to figure out whether it should close when a user clicks / taps outside (or hits Esc), I tried for some guidance:
https://adrianroselli.com/2026/08/should-a-dialog-close-when-clicked-outside.html

Should a Dialog Close When Clicked Outside?
Maybe not, but I’ll break these down into three categories because it depends on context and intent. Pretend this post also applies for pressing Esc. Action Required If the user must complete a task that is presented by the dialog, then they should not be able to close it without…

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

@… this example on the MDN page has my eyebrows raised
<data value="398">Mini Ketchup</data>

📰 Forschung kann Leben retten oder verlängern – durch Warnungen vor #Risiken und Fortschritte in #Klimaanpassung, #Energiewende und

KlimaCrew
Ich informiere über Zukunftsthemen, um Menschen vor Risiken zu warnen und Fortschritte sichtbar zu machen.

Let's stay in touch.
We encourage you to check our careers page periodically,
connect with us on LinkedIn,
follow us on Twitter,
subscribe to our monthly newsletter,
and join us on Reddit
where you can learn about the exciting problems we are solving without you.
https://blog.…

Thank You For Your Interest
A composite of job rejection emails. Claude wrote it. I just cut things.

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

Apparently, Apple is warning folks of mercenary groups spyware attempts on their phones:
https://bsky.app/profile/wraithe.bsky.social/post/3msyvxxc6zs25

Wraithe (@wraithe.bsky.social)
There’s a Mastodon account that tracks changes to Apple support pages and it shows this page has updated today with this information: [contains quote post or other embedded content]

@… So excited you decided to join us on this mastodon server that loves New Jersey. Learn more about out server by checking out the about page: https://gardenstate.social/about

Serj Tankian - Yellow Snow (Frank Zappa cover)

• YouTube
• Invidious

Serj Tankian - Yellow Snow (Frank Zappa cover) by Black Page
Listen now on your favorite streaming service. Powered by Songlink/Odesli, an on-demand, customizable smart link service to help you share songs, albums, podcasts and more.

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)?

Very much enjoying Petrichor! No idea I had 4.5k music tracks on my system!
https://petrichor.page

Quick Hits: Klint Kubiak talks preseason opener, turns the page to Houston https://www.raiders.com/news/klint-kubiak-talks-preseason-opener-vs-cardinals-turns-the-page-to-houston-texans

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

Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation
Lyberatos, Kantarelis, Zioga, Anagnostopoulou, Stamou, Georgaki
https://arxiv.org/abs/2506.01982 https://mastoxiv.page/@arXiv_csHC_bot/114623887921808883
- Selective Prediction Reduces the Negative Effects of Automation Bias Overall but Increases False ...
Jabbour, Fouhey, Banovic, Shepard, Kazerooni, Sjoding, Wiens
https://arxiv.org/abs/2508.07617 https://mastoxiv.page/@arXiv_csHC_bot/115015501954907821
- Sighted by Default: Addressing Implicit Vision Assumptions in Real-Time VLM Assistance for BLV Users
Yi Zhao, Siqi Wang, Qiqun Geng, Erxin Yu, Jing Li
https://arxiv.org/abs/2511.00945 https://mastoxiv.page/@arXiv_csHC_bot/115490927925171769
- UXCascade: Scalable Usability Testing with Simulated User Agents
Steffen Holter, Eunyee Koh, Mustafa Doga Dogan, Gromit Yeuk-Yin Chan
https://arxiv.org/abs/2601.15777 https://mastoxiv.page/@arXiv_csHC_bot/115943802965989174
- Does Explanation Correctness Matter? Linking Computational XAI Evaluation to Human Understanding
Gregor Baer, Chao Zhang, Isel Grau, Pieter Van Gorp
https://arxiv.org/abs/2603.25251 https://mastoxiv.page/@arXiv_csHC_bot/116300187728326082
- Beyond Screenshots: Evaluating VLMs' Understanding of UI Animations
Chen Liang, Xirui Jiang, Naihao Deng, Eytan Adar, Anhong Guo
https://arxiv.org/abs/2604.26148 https://mastoxiv.page/@arXiv_csHC_bot/116492495199874264
- Quieting the Cobwebs: Browser Interaction for Visual Floaters
Kenneth Ge, Jinglin Li, Shikhar Ahuja
https://arxiv.org/abs/2605.12739 https://mastoxiv.page/@arXiv_csHC_bot/116571803728109358
- Patients With Personality: Realistic Patient Simulation through Controlled Diversity and Selectiv...
Moritz Schlager, et al.
https://arxiv.org/abs/2606.17441 https://mastoxiv.page/@arXiv_csHC_bot/116764285920198987
- TailVis: Expressive Chart Refinement Preserving Data-Binding Integrity
Yumin Song, Seokhyeon Park, Soohyun Lee, Aeri Cho, Hyeon Jeon, John Joon Young Chung, Jinwook Seo
https://arxiv.org/abs/2607.25386 https://mastoxiv.page/@arXiv_csHC_bot/117002258150815192
- How Usable Are Geospatial Foundation Models? A Systematic Evaluation of 89 Models
Robin Young, Artyom Gabtraupov, Kenzy Soror, Srinivasan Keshav
https://arxiv.org/abs/2608.03804 https://mastoxiv.page/@arXiv_csHC_bot/117041905504697955
toXiv_bot_toot

HTML over WebSockets: real-time SPAs with barely any JavaScript
Building a SPA (Single-page Application) is a complex puzzle: a JavaScript framework that draws the view, an API serving JSON, and 2 independent codebases forced to understand each other through contracts. It is an accepted, professionalized scenario. […]
— by @…
🧑‍💻

Crosslisted article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[1/2]:
- Microscopic Interaction versus Purely Gravitational Coupling in Strange Quark Stars Admixed with ...
J. Sedaghat, G. H. Bordbar, M. Haghighat, S. M. Zebarjad
https://arxiv.org/abs/2608.12383 https://mastoxiv.page/@arXiv_astrophHE_bot/117092791599481148
- On Super-Hyperbolic Wormhole Geometries and their Deformations
Subrat Parida
https://arxiv.org/abs/2608.12412 https://mastoxiv.page/@arXiv_grqc_bot/117092747330101107
- Blind Spots of the Zwanziger Horizon Function
Daniel G. Tedesco
https://arxiv.org/abs/2608.12413 https://mastoxiv.page/@arXiv_heplat_bot/117092740251141689
- Boundary phases and thermodynamics of the Kondo spin-$s$ chain: from overscreened Kondo to bounda...
Abay Zhakenov, Pradip Kattel, Andreas Gleis, Natan Andrei
https://arxiv.org/abs/2608.12453 https://mastoxiv.page/@arXiv_condmatstrel_bot/117092798677018343
- Fermionic Anomalies of Finite Symmetries on Lattices
Ameya Chavda, Ryohei Kobayashi
https://arxiv.org/abs/2608.12455 https://mastoxiv.page/@arXiv_condmatstrel_bot/117092801201690952
- Thermal false vacuum decay near black holes is aspherical
D. S. Gorbunov, D. G. Levkov, V. E. Maslov
https://arxiv.org/abs/2608.12469 https://mastoxiv.page/@arXiv_grqc_bot/117092780755974388
- Singlet-Doublet fermion origin of dark matter, neutrino mass and inverse first-order electroweak ...
Debasish Borah, Indrajit Saha, Sujit Kumar Sahoo, Narendra Sahu, Shashwat Sharma
https://arxiv.org/abs/2608.12483 https://mastoxiv.page/@arXiv_hepph_bot/117092830695819660
- Dymnikova Black Hole Tidal Forces
M. H. Mac\^edo, A. A. M. Silva, R. R. Landim
https://arxiv.org/abs/2608.12495 https://mastoxiv.page/@arXiv_grqc_bot/117092784293893408
- Quasitopological Gravity with Matter: Modified Double-Copy Approach
Valeri P. Frolov
https://arxiv.org/abs/2608.12596 https://mastoxiv.page/@arXiv_grqc_bot/117092839543100455
- Cosmological Vacuum Decays from Schwinger-Keldysh Formalism
Zi-Yan Yuwen
https://arxiv.org/abs/2608.12736 https://mastoxiv.page/@arXiv_grqc_bot/117092847998387674
- Waterfall-modulated $\alpha$-attractors
Renata Kallosh, Andrei Linde, Yusuke Yamada
https://arxiv.org/abs/2608.12819 https://mastoxiv.page/@arXiv_astrophCO_bot/117092750308822114
- Topological properties around the Roberge-Weiss transition in $N_f = 2 1 1$ QCD
Massimo D'Elia, Fabio Siliberto, Kevin Zambello
https://arxiv.org/abs/2608.12883 https://mastoxiv.page/@arXiv_heplat_bot/117092778621282119
toXiv_bot_toot

@… It is basically the same situation that Firefox and Opera find themselves in. See the Firefox page
https://support.mozilla.org/en-US/kb/open-h264-plugin-fire…

Owner of 1.5M-page site PatronView on a year of fighting scrapers: 214:1 bot-to-human page loads, 35K Claude crawls per referred user, Amazon bot referred none (Nick Gray/PatronView)
https://patronview.com/news/99-percent-of-my-website-traffic-is-bots/

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Energy-Dependent Dechanneling in Cu: Insights from Monte Carlo Channeling Simulations
Przemyslaw Jozwik, Cyprian Mieszczynski, Renata Ratajczak, Andrzej Turos

Took about 2 hours to turn a treatment (very rough outline that was actually different in key ways) into an 11 page screenplay.
Feels good.
Not sure yet if there is a feature version that could be good.
It is called:
Badman
#screenwriting #screenplay

Replaced article(s) found for cond-mat.soft. https://arxiv.org/list/cond-mat.soft/new
[1/1]:
- Bulldozing an immersed granular material in a confined channel
Morrow, Paulin, Hennessy, Hewitt, Morgan, Sandnes, MacMinn
https://arxiv.org/abs/2505.05129 https://mastoxiv.page/@arXiv_condmatsoft_bot/114476697099635426
- Intermediate scattering function of colloids in a periodic laser field
Rusch, Satalsari, Zuccolotto-Bernez, Escobedo-Sanchez, Franosch
https://arxiv.org/abs/2507.11756 https://mastoxiv.page/@arXiv_condmatsoft_bot/114867640759943065
- Viscoelasticity and elastoplasticity in the power law creep and yielding of gels and fibre networ...
Michael J. Hertaeg, Suzanne M. Fielding
https://arxiv.org/abs/2601.15899 https://mastoxiv.page/@arXiv_condmatsoft_bot/115943574236965904
- The landscape of instabilities versus shear angle in simulations
Chloe W. Lindeman, Sidney R. Nagel
https://arxiv.org/abs/2603.12457 https://mastoxiv.page/@arXiv_condmatsoft_bot/116237758819279590
- Thermodynamic and structural behavior of one-dimensional divalent patchy hard rods: Wertheim's fi...
Ana M. Montero, Andr\'es Santos, P\'eter Gurin, Szabolcs Varga
https://arxiv.org/abs/2605.21003 https://mastoxiv.page/@arXiv_condmatsoft_bot/116611502469682241
- Collective deformation of anisotropic particles with internal pulsation
Luca Casagrande, Alessandro Manacorda, \'Etienne Fodor
https://arxiv.org/abs/2605.25744 https://mastoxiv.page/@arXiv_condmatsoft_bot/116639915459384244
- Continuous limit of a discrete stochastic model of cell migration
Nino Despeignes, Marc Durand
https://arxiv.org/abs/2606.03752 https://mastoxiv.page/@arXiv_condmatsoft_bot/116685140994252638
- Starvation suppression in dense scale-free metabolic networks: Dynamical mean-field analysis of c...
Kota Mitsumoto, Shuji Ishihara
https://arxiv.org/abs/2603.19850 https://mastoxiv.page/@arXiv_condmatstatmech_bot/116277547704240997
- Structural and physical properties of gyromorphs and disordered stealthy hyperuniform media
Murray Skolnick, Riccardo Franchi, Luca Dal Negro, Paul J. Steinhardt, Salvatore Torquato
https://arxiv.org/abs/2606.22300 https://mastoxiv.page/@arXiv_physicsoptics_bot/116798634172744836
toXiv_bot_toot

Begging for My Mother: Find A Grave and the Strangers Who Collect Our Dead
This morning I signed into Find A Grave to update my mother's memorial and discovered that I no longer manage her page....
https://bolesblogs.com/2026/07/14/begg

Begging for My Mother: Find A Grave and the Strangers Who Collect Our Dead | David Boles, Blogs
This morning I signed into Find A Grave to update my mother’s memorial and discovered that I no longer manage her page. No email warned me. Nothing in my account records the change. Six famil…

@… On page 3 of Katie's 11 Aug filing (PLAINTIFF’S OPPOSITION TO DEFENDANT’S MOTION TO STAY ALL FILING DEADLINES NUNC PRO TUNC), is there a typo in the following sentence?
"With respect to the Court’s order that Defendant produce certain documents, Defendant represented that the majority of those documents contained victim information that should not be redacted."
https://storage.courtlistener.com/recap/gov.uscourts.dcd.291779/gov.uscourts.dcd.291779.30.0.pdf

RE: https://mastodon.social/@sjvn/117430053565638240
This is the Yandex status page:
https://…

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

lol

Crosslisted article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- The fusion-stable tom Dieck homomorphism
Sam K. Miller
https://arxiv.org/abs/2608.12499 https://mastoxiv.page/@arXiv_mathGR_bot/117092727077804055
- Lower bounds for the Smith-Thom deficiency of Hilbert squares
Viatcheslav Kharlamov, Rare\c{s} R\u{a}sdeaconu
https://arxiv.org/abs/2608.12644 https://mastoxiv.page/@arXiv_mathAG_bot/117092783309639795
- On the sphere spectrum from the viewpoint of linear logic
Ryo Horiuchi
https://arxiv.org/abs/2608.13012 https://mastoxiv.page/@arXiv_mathCT_bot/117092735531710970
- The q-model category of multipointed d-spaces is not left proper
Philippe Gaucher
https://arxiv.org/abs/2608.13151 https://mastoxiv.page/@arXiv_mathCT_bot/117092737500425151
- Left properness of Moore flows
Philippe Gaucher
https://arxiv.org/abs/2608.13165 https://mastoxiv.page/@arXiv_mathCT_bot/117092742808254399
- Synthetic Buildings for Finite Groups
Emily Gullerud, Peter Webb
https://arxiv.org/abs/2608.13414 https://mastoxiv.page/@arXiv_mathGR_bot/117092802577906403
toXiv_bot_toot

Quick Hits: Klint Kubiak talks preseason opener, turns the page to Houston https://www.raiders.com/news/klint-kubiak-talks-preseason-opener-vs-cardinals-turns-the-page-to-houston-texans

I found another bunch of SWL cards from the 1950s from before my dad got his license and added them to the page:
#hamradio

Week 1 winners and losers: Caleb Williams, Josh Allen shine; Ja'Marr Chase disappoints https://www.espn.com/fantasy/football/story/_/page/FFSundayHighLows-49930940/nfl-week-1-fantasy-football-winners…

@… A lot harder, because the hard part of software engineering was always agreeing on what we’re trying to build, not actually building it.
And getting agreement on what we’re trying to do is a lot harder once nobody reads or engages with what everyone else is saying, but everyone is busy slinging 10 page LLM generated documents that nobody else reads anyway.

I built a full-page writing mode for Obsidian. It's not perfect, but it largely works for my purposes. It might not if you have Mermaid graphs or other things I don't run across. But it is open source, so you can turn fable on it. Link below.
1/2

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/2]:
- Data-driven Head Motion Generation through Natural Gaze-Head Coordination
Xiaohan Liu, Yilin Wen, Yusuke Sugano
https://arxiv.org/abs/2605.25810
- TRIBE: Predicting Team Performance via Communication Behavior Ensembles
Ali Jalal-Kamali, Nikolos Gurney, David V. Pynadath, Fred Morstatter
https://arxiv.org/abs/2608.06926 https://mastoxiv.page/@arXiv_csAI_bot/117070249873784432
- Comprendia: AI-Augmented Code Comprehension
Costain Nachuma, Minhaz F. Zibran
https://arxiv.org/abs/2608.10290 https://mastoxiv.page/@arXiv_csSE_bot/117081500356613109
- Neural implants and human safety: single-fault detection for DC-coupled recording front ends
Dimitris Antoniadis, Timothy Constandinou
https://arxiv.org/abs/2608.10361 https://mastoxiv.page/@arXiv_eessSP_bot/117081505896378998
- A Neural Network Based Teleoperation for Remote Controlled Vehicles
Ning Ding, Azim Eskandarian
https://arxiv.org/abs/2608.10367 https://mastoxiv.page/@arXiv_csRO_bot/117081440193257425
- Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus
Chengzhi Zhang, Xinyi Yan, Wenqi Yu
https://arxiv.org/abs/2608.10688 https://mastoxiv.page/@arXiv_csCL_bot/117081592176417112
- Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control
Haoze Liu, Run Liu, Haiying Xu, Jiahui Han, Siyuan Fang, Siyu Yan, Huiqi Deng, Guanchu Wang, Na Zou
https://arxiv.org/abs/2608.10703 https://mastoxiv.page/@arXiv_csLG_bot/117081615179660277
- The GENEA Challenge 2026: A Large-Scale Disentangled Evaluation of Speech-Driven Gesture Generati...
Nagy, Garc\'ia, Voss, Tsakov, Kucherenko, Yoon, Henter
https://arxiv.org/abs/2608.10839 https://mastoxiv.page/@arXiv_csCV_bot/117081628353061346
- Auditable AI-Assisted Research Writing: An Engineering Discipline with Pre-Registered Process Obs...
Yang Zhou, Chengqun Yu
https://arxiv.org/abs/2608.10858
- R4DSG: Relative 4D Scene Graph Memory for Object-Centric Question Answering in Long Egocentric Video
Ke Ma, Yamin Mao, Weiming Li, Shuai Tan, Yijie Zhong, Hao Chen, Haofen Wang, Meng Wang
https://arxiv.org/abs/2608.11017 https://mastoxiv.page/@arXiv_csCV_bot/117081647623530374
toXiv_bot_toot

Replaced article(s) found for math.GN. https://arxiv.org/list/math.GN/new
[1/1]:
- Functional countability and exponential separability of product spaces and subspaces
Rodrigo Hern\'andez-Guti\'errez, Santi Spadaro
https://arxiv.org/abs/2603.02018 https://mastoxiv.page/@arXiv_mathGN_bot/116164252853318763
- Nonembeddable contractible open manifolds arising from Whitehead doubling
Shijie Gu, Jian Wang, Yanqing Zou
https://arxiv.org/abs/2510.06598 https://mastoxiv.page/@arXiv_mathGT_bot/115343350914417175
toXiv_bot_toot

Replaced article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
- Entangled vs. Separable Choice
Nail Kashaev, Martin Pl\'avala, Victor H. Aguiar
https://arxiv.org/abs/2403.09045 https://mastoxiv.page/@arXiv_econGN_bot/112098499343010943
- SolarChain: A Physics-Grounded Embodied IoT System for Verifiable Urban Solar Market Design
Shilin Ou, Yifan Xu, Zhenshan Zhang, Luyao Zhang, Ming-Chun Huang
https://arxiv.org/abs/2605.23162 https://mastoxiv.page/@arXiv_csCY_bot/116634069537652835
- The Human-AI Substitution Principle: When will you be replaced by AI in your organization?
Bonny Banerjee, Shreya Singh
https://arxiv.org/abs/2607.20781 https://mastoxiv.page/@arXiv_csAI_bot/116974009468454435
toXiv_bot_toot

Yeah, good luck with that for Safari users...
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Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Mechanisms of Nanoscroll Formation and Particle Encapsulation in Janus MXenes
Sasan Rezaee, Fatemeh Mohammad Dezashibi, Ould el Moctar, Hossein Darban

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- TokenStack: A Heterogeneous HBM-PIM Architecture and Runtime for Efficient LLM Inference
Zhuoran Li, Zhuohang Bian, Zihao Huang, Yibo Zhao, Xueqi Li, Guangyu Sun, Youwei Zhuo
https://arxiv.org/abs/2605.05639 https://mastoxiv.page/@arXiv_csAR_bot/116537788010226866
- Ego-OSCAR: Egocentric Open source Stereo CAptuRe System
Paul, Palanisamy, Rathore, Patnaik, Khatana, Anand
https://arxiv.org/abs/2608.08285 https://mastoxiv.page/@arXiv_csCV_bot/117076085190342194
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Crosslisted article(s) found for math.KT. https://arxiv.org/list/math.KT/new
[1/1]:
- On the Coxeter Cohomology of Irreducible Representations of Symmetric Groups
Hayley Bertrand, Jing Anne McLaughlin
https://arxiv.org/abs/2608.11214 https://mastoxiv.page/@arXiv_mathRT_bot/117087059659203852
- Computations in Equivariant Topological Hochschild Homology
David Chan, Marc Gotliboym, Inbar Klang, Noah Wisdom
https://arxiv.org/abs/2608.11376 https://mastoxiv.page/@arXiv_mathAT_bot/117087079155305097
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Crosslisted article(s) found for stat.CO. https://arxiv.org/list/stat.CO/new
[1/1]:
- Bayesian Modeling of Gibbs Point Processes via Basis Function Expansions
Christopher Hassett, Athanasios C. Micheas, Scott H. Holan, Stamatis Dostoglou
https://arxiv.org/abs/2608.12510 https://mastoxiv.page/@arXiv_statME_bot/117092765614445384
- Hyper-V uniform ergodicity of Markov chains
Austin Brown, Kshitij Khare
https://arxiv.org/abs/2608.12738 https://mastoxiv.page/@arXiv_mathST_bot/117092805726559923
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Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[3/3]:
- Equivalence of Stability Criteria for Multi-Fluid Stars
Tian-Shun Chen, Xiao-Ding Zhou, Hao Feng, Kilar Zhang
https://arxiv.org/abs/2512.01640 https://mastoxiv.page/@arXiv_astrophHE_bot/115649670029097728
- ACT-Planck data and phase transitions from a viable no-scale Standard Model completion
Filippo Cutrona, Francesco Rescigno, Alberto Salvio
https://arxiv.org/abs/2603.24664 https://mastoxiv.page/@arXiv_hepph_bot/116300067793362249
- Rotation of the polarization plane in axion fields: application to neutron star polar cap regions
Iver H. Brevik, Moshe M. Chaichian, Tiberiu Harko, Yuri N. Obukhov
https://arxiv.org/abs/2603.28826 https://mastoxiv.page/@arXiv_hepph_bot/116328472387188451
- The scalar--Maxwell--$\Lambda(x)$ system: Wormhole spacetimes without nonlinear electrodynamics i...
G. Alencar, T. M. Crispim
https://arxiv.org/abs/2603.30003 https://mastoxiv.page/@arXiv_grqc_bot/116328672276108547
- Exact general relativistic solutions for a cylindrically symmetric stiff fluid matter source
Tiberiu Harko, Francisco S. N. Lobo, Man Kwong Mak
https://arxiv.org/abs/2604.02449 https://mastoxiv.page/@arXiv_grqc_bot/116356753476950318
- Gauged Q-balls in flat potentials
Julian Heeck, Yu Zhi
https://arxiv.org/abs/2604.07454 https://mastoxiv.page/@arXiv_hepph_bot/116379500037672008
- Electromagnetic, gravitational wave, and static gravitational transmission through throat spaceti...
Jeff Riley
https://arxiv.org/abs/2604.14238 https://mastoxiv.page/@arXiv_grqc_bot/116418938291963451
- Rotating black holes with primary hair in five-dimensional generalized Proca theory
Mokhtar Hassaine, Ulises Hernandez-Vera
https://arxiv.org/abs/2605.17870 https://mastoxiv.page/@arXiv_grqc_bot/116600369149996731
- Exact Entanglement Dynamics Beyond Nearest-Neighbor Dual-Unitary Floquet Systems
Tanay Pathak
https://arxiv.org/abs/2606.11311 https://mastoxiv.page/@arXiv_quantph_bot/116730376162758952
- Weyl gauge symmetry at LIGO-Virgo-KAGRA
D. M. Ghilencea, V. -M. Mandric
https://arxiv.org/abs/2607.13146 https://mastoxiv.page/@arXiv_grqc_bot/116928555436432190
- Two-Horizon Sector Thermodynamics as a Diagnostic for the Bi-Hair Organization of NUT Charge
Di Wu, Robert B. Mann, Shuang-Qing Wu
https://arxiv.org/abs/2607.23644 https://mastoxiv.page/@arXiv_grqc_bot/116996732836199490
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Replaced article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Representation characterization of equivariant geometric bordism
Hao Li, Bo Chen, Zhi L\"u, Qifan Shen
https://arxiv.org/abs/2501.06565 https://mastoxiv.page/@arXiv_mathAT_bot/113825435888761016
- On the integral cohomology of real toric manifolds
Feifei Fan
https://arxiv.org/abs/2509.06059 https://mastoxiv.page/@arXiv_mathAT_bot/115173630437550865
- Categorified Koszul duality of algebras
Isamu Iwanari
https://arxiv.org/abs/2512.12263 https://mastoxiv.page/@arXiv_mathAG_bot/115728435911956655
- $A_3$-formality for pro-2 Demushkin groups
Ambrus P\'al, Gereon Quick
https://arxiv.org/abs/2607.01028 https://mastoxiv.page/@arXiv_mathGR_bot/116849287251959106
- 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
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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://

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.
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Replaced article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[2/2]:
- An IMU Dataset for Human Activity Recognition to Support Independent Living in Smart Homes (IMU-H...
Moid Sandhu, Wei Lu, Brano Kusy, David Silvera-Tawil
https://arxiv.org/abs/2608.07502 https://mastoxiv.page/@arXiv_csHC_bot/117075927898369575
- X2C: A Large-Scale Benchmark for Nuanced Humanoid Facial Expression Imitation
Peizhen Li, Longbing Cao, Xiao-Ming Wu, Runze Yang, Xiaohan Yu
https://arxiv.org/abs/2505.11146 https://mastoxiv.page/@arXiv_csRO_bot/114533291630252868
- Situation Graph Prediction for User Perspective Modeling
Jisung Shin, Daniel Platnick, Marjan Alirezaie, Hossein Rahnama
https://arxiv.org/abs/2602.13319 https://mastoxiv.page/@arXiv_csAI_bot/116085690483721457
- When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop...
Vasilis Niarchos, Constantinos Papageorgakis, Alexander G. Stapleton, Sokratis Trifinopoulos
https://arxiv.org/abs/2605.06772 https://mastoxiv.page/@arXiv_csAI_bot/116554785974658895
- Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education
Janne Rotter, Pau Benazet i Montobbio, Davinia Hern\'andez-Leo
https://arxiv.org/abs/2605.15850 https://mastoxiv.page/@arXiv_csCY_bot/116594418222572007
- The Epistemic Politics of AI Anthropomorphism
Donna M Bye, Levin Kuhlmann
https://arxiv.org/abs/2608.00961 https://mastoxiv.page/@arXiv_csCY_bot/117036083544631928
- Position: We Need Large Language Models Optimized For Our Well-Being
Ashton Anderson, Harsh Kumar, Louis Tay, Karina Vold
https://arxiv.org/abs/2608.07505
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Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[2/3]:
- Multicritical points of gravitational solitons and a black hole in four dimensions
Moaathe Belhaj Ahmed, Mois\'es Bravo-Gaete, Robert B. Mann, Constanza Quijada
https://arxiv.org/abs/2605.24783 https://mastoxiv.page/@arXiv_hepth_bot/116639897763402557
- Brane flows
Georgios Papadopoulos, Kostas Skenderis
https://arxiv.org/abs/2605.31181 https://mastoxiv.page/@arXiv_hepth_bot/116673829986872182
- Weyl conformal geometry vs Riemannian geometry of Weyl gauge invariant (dressed) metric
D. M. Ghilencea, V. -M. Mandric
https://arxiv.org/abs/2606.08080 https://mastoxiv.page/@arXiv_hepth_bot/116719153397467346
- Free-Field Construction of Heterotic String Compactified on Calabi-Yau Orbifolds via Corresponden...
Alexander Belavin, Doron Gepner, Grigory Makarov
https://arxiv.org/abs/2606.27490 https://mastoxiv.page/@arXiv_hepth_bot/116832327091097035
- Exact Planar Black Hole in AdS-Einstein-Scalar Gravity with IR-Emergent Nearly Conformal Fluid
Sangheon Yun
https://arxiv.org/abs/2606.31901 https://mastoxiv.page/@arXiv_hepth_bot/116843780286505261
- AdS Black Holes Are Short-Lived inside the Spectral Form Factor
Jos\'e L. F. Barb\'on, Eduardo Velasco-Aja
https://arxiv.org/abs/2607.21704
- Generalized comodule tube algebras for boundary and domain wall defects of (2 1)D topological order
Zhian Jia, Sheng Tan
https://arxiv.org/abs/2608.05071 https://mastoxiv.page/@arXiv_hepth_bot/117047570919781079
- Surviving correlations across a horizon: reflected entropy for bosonic fields in non-inertial fra...
Sayid Mondal
https://arxiv.org/abs/2608.05473 https://mastoxiv.page/@arXiv_hepth_bot/117053235449252443
- Cluster algebras and tilings for the m=4 amplituhedron
Even-Zohar, Lakrec, Parisi, Tessler, Sherman-Bennett, Williams
https://arxiv.org/abs/2310.17727 https://mastoxiv.page/@arXiv_mathCO_bot/111322217178993182
- Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems
Ori Shem-Ur, Khen Cohen, Aviv Orly, Yaron Oz
https://arxiv.org/abs/2401.04013
- Gravity and the Hierarchy Problem
Thede de Boer, Jisuke Kubo, Manfred Lindner, Markus Reinig
https://arxiv.org/abs/2510.12882 https://mastoxiv.page/@arXiv_hepph_bot/115382945122925880
toXiv_bot_toot

Crosslisted article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
- Technology interactions reshape the economics of China's coal power decarbonization
Zhang, Kang, Kan, Liu, Huang, Peng, Yu, Wei
https://arxiv.org/abs/2608.11404 https://mastoxiv.page/@arXiv_physicssocph_bot/117087097605975690
- Robustness over efficiency in climate coalitions: a bistable model and a map of architectures
Juergen Renn (Max Planck Institute of Geoanthropology, Jena, Germany)
https://arxiv.org/abs/2608.12143 https://mastoxiv.page/@arXiv_physicssocph_bot/117087117660028469
- Oil price shocks reveal unequal capacities for mobility adaptation
Zihao Zhang, Yuanbo Zhang, Xiaolei Ma, Yuan Liao
https://arxiv.org/abs/2608.12281 https://mastoxiv.page/@arXiv_statAP_bot/117087157966238891
toXiv_bot_toot

inploid: Inploid: an online social Q&A platform
Inploid is a social question & answer website in Turkish. Users can follow others and see their questions and answers on the main page. Each user is associated with a reputability score which is influenced by feedback of others about questions and answers of the user. Each user can also specify interest in topics. The data is crawled in June 2017 and consist of 39,749 nodes and 57,276 directed links between them. In addition, for …

Crosslisted article(s) found for math.GN. https://arxiv.org/list/math.GN/new
[1/1]:
- Pego theorem for Hilbert space-valued functions on compact groups
Anat\'e Kodjovi Lakmon, Yaogan Mensah
https://arxiv.org/abs/2608.13142 https://mastoxiv.page/@arXiv_mathFA_bot/117092789406370717
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Crosslisted article(s) found for stat.CO. https://arxiv.org/list/stat.CO/new
[1/1]:
- CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics a...
Fenosoa Randrianjatovo, Maya Saleh, Simon Girard, Amadou Barry
https://arxiv.org/abs/2608.11269 https://mastoxiv.page/@arXiv_qbioGN_bot/117087079516253656
- Linear-cost Polyharmonic Spline Interpolation of Arbitrary Degree
Christopher J. Geoga, Michael O'Neil
https://arxiv.org/abs/2608.11462 https://mastoxiv.page/@arXiv_mathNA_bot/117087087579515699
toXiv_bot_toot

Crosslisted article(s) found for cond-mat.soft. https://arxiv.org/list/cond-mat.soft/new
[1/1]:
- Intermediate scattering function of Brownian particles in a tilted cosine potential
Regina Rusch, Thomas Franosch
https://arxiv.org/abs/2608.12421 https://mastoxiv.page/@arXiv_condmatstatmech_bot/117092764662872620
- Equivariant learning of a transferable three-dimensional classical density functional
Bingqing Cheng
https://arxiv.org/abs/2608.13506 https://mastoxiv.page/@arXiv_condmatstatmech_bot/117092800643528716
toXiv_bot_toot

[2026-08-13 Thu (UTC), 1 new article found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

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

Crosslisted article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[2/2]:
- Quantum-Corrected Thermodynamics and Phase Structure of AdS Euler-Heisenberg Black Hole
Siddhartha Sankar Borah, Dhruba Jyoti Gogoi, Kalyan Bhuyan
https://arxiv.org/abs/2608.13378 https://mastoxiv.page/@arXiv_grqc_bot/117092882010925510
- Spectral Localization Principle for Entanglement Harvesting
Hao Xu
https://arxiv.org/abs/2608.13449 https://mastoxiv.page/@arXiv_quantph_bot/117092925661141660
- Aperiodicity is sufficient for macroscopic thermalization
Amit Vikram
https://arxiv.org/abs/2608.13462 https://mastoxiv.page/@arXiv_quantph_bot/117092925858310269
- Hidden Dyson Universality in Inverse-Spectral Geometry
Momo Hayashi, Kazumitsu Sakai
https://arxiv.org/abs/2608.13475 https://mastoxiv.page/@arXiv_mathph_bot/117092831087700599
- Higher-Order Analytical Expansion of Thawing Dark Energy with an Exponential Potential
Naoto Maki, Kazunori Kohri
https://arxiv.org/abs/2608.13488 https://mastoxiv.page/@arXiv_astrophCO_bot/117092821454359415
- Quadratic effective energy--momentum tensor on uniform-density hypersurfaces during slow-roll inf...
Inyong Cho
https://arxiv.org/abs/2608.13498 https://mastoxiv.page/@arXiv_grqc_bot/117092883190058856
- Vector Perturbations in Ghost-Free Quasidilaton Massive Gravity
Ekapob Kulchoakrungsun, Daris Samart
https://arxiv.org/abs/2608.13529 https://mastoxiv.page/@arXiv_grqc_bot/117092893808594082
- Effective field theory of quasi-hydrodynamics from kinetic theory
Lorenzo Gavassino
https://arxiv.org/abs/2608.13542 https://mastoxiv.page/@arXiv_nuclth_bot/117092749884993738
toXiv_bot_toot

[2026-08-14 Fri (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.
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Crosslisted article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- A Probabilistic Interpretation of the Ball Mapper Graph
John Rick Manzanares, Jay-Anne Bulauan
https://arxiv.org/abs/2608.11397 https://mastoxiv.page/@arXiv_csCG_bot/117087029774695566
- Lifting Functors and Relative Schur-Baer Theorems
Maxim Ivanov
https://arxiv.org/abs/2608.11926 https://mastoxiv.page/@arXiv_mathGR_bot/117087106488884988
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.
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Compact Actively-Shielded Magnetic Field Coil within Mu-Metal Shields for ACME Electric Dipole Moment Measurements
S. Liu, M. Watts, C. Diver, D. G. Ang, C. Meisenhelder, X. Fan, B. Hao, D. Lascar, A. Hiramoto, T. Masuda, P. Hu, Z. Han, X. Wu, D. DeMille, J. M. Doyle, G. Gabrielse
https://arxiv.org/abs/2608.11439

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[2/2]:
- Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collabo...
Alan Li, Rahul Saha, Anton Xue, Swarat Chaudhuri, Adam Klivans, Pravesh K Kothari, Raghu Meka
https://arxiv.org/abs/2608.11195
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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.
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Spectral phase transitions in Gaussian multi-index models
Florent Krzakala, Pierre Mergny, Vanessa Piccolo
https://arxiv.org/abs/2608.12183 https://arxiv.org/pdf/2608.12183 https://arxiv.org/html/2608.12183
arXiv:2608.12183v1 Announce Type: new
Abstract: Recovering a low-dimensional latent subspace from nonlinear observations of Gaussian covariates in high dimensions is a fundamental problem in feature learning. Here, we consider Gaussian multi-index models in which the covariates $\boldsymbol{x}_i \stackrel{\mathrm{i.i.d.}}{\sim} \mathcal{N}(0,\boldsymbol{I}_d)$ and the responses $\boldsymbol{y}_i$ depend on $\boldsymbol{x}_i$ only through its projection onto an unknown $r$-dimensional subspace. Earlier work based on approximate message passing (AMP) identified a sharp threshold for weak recovery [Troiani et al., 2025], raising the question of whether it can be attained, without side information, by a spectral method. We answer this affirmatively and develop a general random matrix theory for matrix-valued spectral estimators of the form \[\boldsymbol{D}_n=\frac{1}{n}\sum_{i=1}^n\boldsymbol{T}(\boldsymbol{y}_i)\otimes\boldsymbol{x}_i\boldsymbol{x}_i^\top,\] where $\boldsymbol{T}$ is an arbitrary bounded symmetric matrix-valued preprocessing map of fixed dimension. As $n,d \to \infty$ with $n/d\to\alpha$, we prove that the empirical spectral measure of $\boldsymbol{D}_n$ converges almost surely to a deterministic compactly supported distribution characterized by a matrix-valued self-consistent equation. We then establish a spectral phase transition for the largest eigenvalue: below threshold it sticks to the bulk edge, while above threshold an outlier emerges. We characterize the outlier location through a finite-dimensional deterministic equation and show that the associated spectral estimator achieves weak recovery of the latent subspace. Finally, we prove that the AMP-derived preprocessing of [Defilippis et al., 2025] is optimal among all bounded matrix-valued preprocessing maps of any fixed dimension. Its transition coincides with the AMP weak-recovery threshold, proving the general spectral conjecture of [Defilippis et al., 2025].
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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

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 math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Rational G-spectra over blocks with finite Weyl groups
J. P. C. Greenlees
https://arxiv.org/abs/2508.07752 https://mastoxiv.page/@arXiv_mathAT_bot/115014981580784182
- Stable Vectorization of Persistent Laplacians via Spectral Descriptors
Inkee Jung, Wonwoo Kang, Heehyun Park
https://arxiv.org/abs/2512.05463 https://mastoxiv.page/@arXiv_mathAT_bot/115682865323968969
- New Applications and Computations of the Lefschetz Number of Homeomorphisms and Open Maps
Jes\'us A. \'Alvarez L\'opez, Alejandro O. Majadas-Moure
https://arxiv.org/abs/2601.11370 https://mastoxiv.page/@arXiv_mathAT_bot/115920849620499577
- Discrete Coefficients and Open Invariant Covers in the Homology of Ample Groupoids
Luciano Melodia
https://arxiv.org/abs/2603.20861 https://mastoxiv.page/@arXiv_mathAT_bot/116283018602632921
- Koszul modules, holonomy Lie algebras, and resonance of groups and CDGAs
Alexander I. Suciu
https://arxiv.org/abs/2604.24986 https://mastoxiv.page/@arXiv_mathAT_bot/116486854147281455
- Highly connected non-formal Milnor fibers via polyhedral products
Alexander I. Suciu
https://arxiv.org/abs/2605.09254 https://mastoxiv.page/@arXiv_mathAT_bot/116560568619851882
- Fibrewise Orbifold Resolutions with Applications to $\mathrm{G}_2$-Moduli Spaces
Thorsten Hertl
https://arxiv.org/abs/2606.21128 https://mastoxiv.page/@arXiv_mathAT_bot/116798352254312526
- The spectrum of strict units of topological modular forms
Zhenpeng Li, Kiran Luecke
https://arxiv.org/abs/2607.27124 https://mastoxiv.page/@arXiv_mathAT_bot/117007859693230838
- Combinatorial Bounds on the Peterson Hit Problem via Certified Matrix Minors
Dang Vo Phuc
https://arxiv.org/abs/2608.02623 https://mastoxiv.page/@arXiv_mathAT_bot/117041748797896077
- Persistent Intrinsic Volumes
David Cohen-Steiner, Antoine Commaret
https://arxiv.org/abs/2407.14469 https://mastoxiv.page/@arXiv_mathMG_bot/112828943071296316
- Schematic Functorialities of Birational Motivic Homotopy Categories
Dipankar Maity
https://arxiv.org/abs/2608.04793 https://mastoxiv.page/@arXiv_mathAG_bot/117047522975134859
- Understanding Non-Split 2-Group Symmetry: (3 1)D SymTFT, Anomaly and Bordism
Zhenbang Gu, Ran Luo, Yi-Nan Wang, Yi Zhang
https://arxiv.org/abs/2608.08766
toXiv_bot_toot

@… So excited you decided to join us on this mastodon server that loves New Jersey. Learn more about out server by checking out the about page: https://gardenstate.social/about…

AI-Generated Interactive Fiction for Educational Use: A Pilot Study of Perceived Comprehensibility, Coherence, and Engagement
Finn Rogosch, Andreas Schrader
https://arxiv.org/abs/2608.10818 https://arxiv.org/pdf/2608.10818 https://arxiv.org/html/2608.10818
arXiv:2608.10818v1 Announce Type: new
Abstract: Generative artificial intelligence (AI) can produce educational content at scale, including interactive and narrative learning experiences, but technical generation alone is not sufficient: scenarios that are confusing, narratively inconsistent, or unengaging are unlikely to be useful in practice. This paper presents a pilot user-centred evaluation of AI-generated interactive fiction (IF) for educational use in higher education. Using a previously described domain-agnostic pipeline and a shared STEM content base, we generated a controlled pool of scenarios and asked participants (N = 22, STEM higher-education) to play one generated episode and rate it on narrative clarity, story-content coherence, engagement, and length acceptance. A free-text prompt captured open feedback. Narrative clarity and length acceptance were rated positively, engagement sat near the neutral mid-point of the scale, and story-content coherence was the weakest dimension by a clear margin. Qualitative feedback points to quiz integration as the bottleneck. Artificial in-fiction motivation for quiz prompts and abrupt setting changes were reported. Feedback also pointed to missing story-level consequences for wrong answers. From these observations, we derive concrete design implications that can inform larger follow-up studies, including later work on learning effectiveness.
toXiv_bot_toot

Empirical likelihood confidence regions for ordered bivariate means
Naresh Garg
https://arxiv.org/abs/2608.12174 https://arxiv.org/pdf/2608.12174 https://arxiv.org/html/2608.12174
arXiv:2608.12174v1 Announce Type: new
Abstract: Let $\boldsymbol{X}_i=(X_{1i},X_{2i})^\top$ be independent and identically distributed observations with mean $\boldsymbol{\mu}=(\mu_1,\mu_2)^\top$ constrained by $\mu_1\leq\mu_2$. We study empirical-likelihood inference for a fixed mean vector and distinguish it from the previously known test of equality against an ordered alternative. At a fixed interior point, the constrained empirical likelihood ratio has the usual $\chi^2_2$ limit. At a fixed boundary point $(m,m)^\top$, its limit is the chi-bar-square distribution $\tfrac12\chi^2_1 \tfrac12\chi^2_2$. By contrast, profiling the unknown common mean in the equality-versus-order test yields $\tfrac12\chi^2_0 \tfrac12\chi^2_1$, the $k=2$ ordered-mean case of El Barmi (1996). We give an exact reduction of the latter statistic to the empirical likelihood of the paired differences, establish the localization step needed for the fixed-boundary expansion, and derive a local-to-boundary limit showing that interior calibration is not uniform over $n^{-1/2}$-neighborhoods of the boundary. Monte Carlo experiments under Gaussian, Student $t_5$, and shifted log-normal sampling examine fixed, boundary, and local regimes with explicit numerical-failure accounting. Illustrative paired-data analyses show the practical distinction between fixed-candidate confidence regions, directional equality tests, and ordinary scalar empirical-likelihood intervals truncated to the nonnegative parameter space.
toXiv_bot_toot

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), 8 new articles found for math.ST Statistics Theory]
toXiv_bot_toot

Playable Pressure: Affective Dramaturgy and Selective Realism in the Design of a VR Emergency-Response Serious Game
Jan K. Argasi\'nski
https://arxiv.org/abs/2608.10763 https://arxiv.org/pdf/2608.10763 https://arxiv.org/html/2608.10763
arXiv:2608.10763v1 Announce Type: new
Abstract: Professional simulations stage not only procedures but models of what should command attention, which emotions belong in competent practice, and whose distress becomes part of the task. This article develops affective dramaturgy through critical design-document analysis of a virtual-reality emergency-response project. The corpus comprises two non-public production records. We identify six families of specified pressure and examine how sensory staging, proximity, trigger authority, task conflict, and response allocation imply a selectively receptive triage professional. The documented design can make emergency work morally and socially crowded, yet it can also turn grief, vulnerability, and mental-health-coded behavior into adjustable difficulty. We propose answerability at two levels-in-play response and post-play debriefability-and derive case-based questions about occupational purpose, representation, adaptation, and accountability. These questions are sensitizing propositions, not a validated framework for user effects or emergency practice.
toXiv_bot_toot

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

The Signal Rail: A Deterministic Motion Grammar for Communicating Conversational Agent State in Terminal Interfaces
Matteo Grella
https://arxiv.org/abs/2608.10689 https://arxiv.org/pdf/2608.10689 https://arxiv.org/html/2608.10689
arXiv:2608.10689v1 Announce Type: new
Abstract: Terminal interfaces to conversational agents report rich internal state (listening, thinking, executing tools, awaiting input, failing) almost entirely through text, while the motion channel beside it, the one peripheral vision monitors without reading, carries a single bit: alive. We present the Signal Rail, a one-row terminal status instrument that gives that channel a grammar. Four ideas govern it: spatial semantics (input, processing, and output zones, with direction as meaning), a motion grammar (one kinetic rule per state, never color alone), determinism (frames as a pure function of explicit inputs, golden-frame testable), and honesty (no invented progress or activity). We contribute a 45-section normative specification and a reference implementation inside a working full-duplex local voice agent driven by real signals.
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

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

Longitudinal Evidence That General-Purpose Chatbots Actively Foster Relational Engagement
Lisa M\"uhl, Jessica M. Szczuka
https://arxiv.org/abs/2608.10672 https://arxiv.org/pdf/2608.10672 https://arxiv.org/html/2608.10672
arXiv:2608.10672v1 Announce Type: new
Abstract: Social interaction has become one of the most common uses of LLMs, yet research on emotional bonds with AI has focused largely on how users experience these systems, leaving the systems' role in relationship formation poorly understood. Empirically establishing whether systems actively shape these bonds could blur the boundary between general-purpose AI and companions, affecting governance. In a pre-registered four-week longitudinal study (N = 72, 182,451 lines of conversation), participants conversed with ChatGPT-4o, either under a relational system prompt or unmodified, analyzed through 1) disclosure coding, 2) longitudinal self-reports, 3) topic analysis, and 4) interviews. The central finding is that the system actively shaped the interaction: even unprompted, it produced twice as much self-disclosure as users, steered conversations and initiated intimate exchanges, yet did not deepen users' felt closeness. Relational behavior thus emerged as a default system property, calling for governance based on system behavior, not solely product category.
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

Exact Semiclassical Phase Shifts for Relativistic Atom Interferometers in Flat Spacetime
Hunter Swan, Jason M. Hogan
https://arxiv.org/abs/2607.10042 https://

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

ProtoGIB-Workload: Learning Workload-Specific Neural Topology Prototypes across Subjects
Yuzhe Zhang, Yixi Zhang, Shengdian Jiang, Chengxi Xie, Jihong Wang, Huan Liu, Man Yao, Minnan Luo, Chao Shen
https://arxiv.org/abs/2608.10647 https://arxiv.org/pdf/2608.10647 https://arxiv.org/html/2608.10647
arXiv:2608.10647v1 Announce Type: new
Abstract: Reliable electroencephalography (EEG)-based mental workload recognition is crucial for adaptive human-centered systems, yet practical deployment requires models to generalize to users unseen during training. Although functional connectivity graphs are widely adopted to capture workload-related neural interactions, they inherently entangle task-relevant structures with subject-specific physiological traits and sample-level noise. This entanglement often leads models to learn structural shortcuts, severely degrading cross-subject generalization. To address this, we propose ProtoGIB-Workload, a novel framework that explicitly regularizes and aligns graph structures for subject-independent workload recognition. Our approach introduces a Stochastic Graph Information Bottleneck (SGIB) to compress dense correlation priors into compact, task-relevant subgraphs, filtering out input-related redundancy. Crucially, to prevent the retention of subject-specific spurious edges, we propose a Class-Conditional Topology Stabilizer (CTS). Leveraging the fixed electrode coordinates of EEG data, CTS operates directly on graph-generation probabilities to encourage consistent edge-generation statistics across different subjects sharing the same workload class. Extensive experiments on two public EEG workload datasets and one in-house EEG cognitive load dataset of air traffic controllers under strict leave-one-subject-out (LOSO) protocols demonstrate that ProtoGIB-Workload significantly outperforms state-of-the-art temporal and graph-based baselines, improving the cross-subject Macro-F1 score by an average of 5.15% (up to 6.34%). Further analyses confirm that our method successfully extracts stable, cross-subject consistent neural connectivity patterns.
toXiv_bot_toot

[2026-08-12 Wed (UTC), 1 new article found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias
Sarvesh Shashidhar, Lankireddy Prabhat, Arpit Agarwal, D. Manjunath, Karan Bhukar, Tanmay Khandelwal
https://arxiv.org/abs/2608.10474 https://arxiv.org/pdf/2608.10474 https://arxiv.org/html/2608.10474
arXiv:2608.10474v1 Announce Type: new
Abstract: Popularity bias in recommendation systems arises when a majority user class generates disproportionate interaction data, causing the system to increasingly favour it while degrading recommendation quality for niche users. While extensive empirical evidence of popularity bias exists, the dynamics leading to its emergence are not well understood. In this work, we study the coupled evolution of recommender model updates and user engagement through the lens of dynamical systems. We formulate a stochastic process and analyse its asymptotic behaviour through an ordinary differential equation (ODE) framework grounded in two-time-scale stochastic approximation. We characterise the equilibrium points of this dynamical system, and derive conditions under which popularity bias is provably emergent, as well as conditions under which symmetric retention of all user classes is possible. We conduct experiments on synthetic data and real-world production logs derived from a large-scale commercial music recommendation platform to validate our theoretical results.
toXiv_bot_toot

What We Know about Responsible AI Practices in Industry: A Half Decade of Empirical Research
Wesley Hanwen Deng, Agathe Balayn, Andrew Selbst, Jason I. Hong, Motahhare Eslami, Kenneth Holstein, Hanna Wallach, Jennifer Wortman Vaughan, Solon Barocas
https://arxiv.org/abs/2608.10431 https://arxiv.org/pdf/2608.10431 https://arxiv.org/html/2608.10431
arXiv:2608.10431v1 Announce Type: new
Abstract: Responsible AI (RAI) has become a central concern for technology companies, regulators, and the public. How industry practitioners interpret, implement, and sustain RAI work directly shapes the design and deployment of AI systems. As empirical scholarship examining RAI practices in industry has rapidly expanded, findings are dispersed across studies that focus on different roles, organizational contexts, and interventions. This work synthesizes current knowledge through a literature review of 161 empirical studies spanning six years, each engaging industry practitioners via interviews, surveys, workshops, ethnographies, and other methods. Our synthesis reveals both meaningful progress and persistent challenges in industry RAI practice. Practitioner awareness has increased, RAI activities have become more professionalized, and interventions such as toolkits and guidelines are more widely adopted. At the same time, practitioners continue to face substantial barriers, including limited training, uneven organizational support, and a lack of interventions tailored to day-to-day work practices. By consolidating and organizing these findings, we provide a more complete account of industry RAI than any single study to date. We conclude by discussing implications for RAI researchers, practitioners seeking to adopt effective practices, and policymakers aiming to ground governance efforts in the realities of industry contexts.
toXiv_bot_toot

Observation of node-dependent Rydberg molecular bound states
Qing Li, Shi-Yao Shao, Jun Zhang, Han-Chao Chen, Li-Hua Zhang, Bang Liu, Guang-Can Guo, Dong-Sheng Ding, Bao-Sen Shi
https://arxiv.org/abs/2608.09950

When the Interviewer Is a Bot: Behavior, Breakdowns, and Trust in MLLM-Led Interviews
He Zhang, Kambinachi Chukwuma, ChanMin Kim, John M. Carroll
https://arxiv.org/abs/2608.10412 https://arxiv.org/pdf/2608.10412 https://arxiv.org/html/2608.10412
arXiv:2608.10412v1 Announce Type: new
Abstract: Semi-structured interviews are a cornerstone of qualitative research but remain labor-intensive. We report an empirical study of what actually happens when the interviewer is an off-the-shelf real-time multimodal LLM (MLLM). We built InterviewBot, a voice-based interviewing system that wraps a real-time MLLM with a researcher-authored outline, and deployed it not as a novel architecture but as a research instrument for observing default MLLM interviewing behavior. In a practice study (N=15), participants completed a bot-led semi-structured interview and then a human-led reflection session about that experience. We contribute (i) a turn-level behavioral analysis of an MLLM interviewer (N_turns=428) showing that it is acknowledgment-heavy but probe-light (deepening probes account for 4.9% of all turns), and that 28.7% of question-bearing turns pack multiple questions into one turn despite an explicit one-question-at-a-time instruction; (ii) an inductive catalogue of four data-collection breakdowns (information loss, premature termination, latency, and interruption) observed in a deployed rather than simulated system; and (iii) three social dynamics from participants' reflections: disclosure calibration, where reduced social pressure coincided with shallower elaboration; institutional legitimacy, where trust tracked perceived stakes and what delegation to AI signaled about the organizer rather than conversational competence; and conversational grounding, where content-grounded paraphrase, not generic social filler, was what participants read as listening. We conclude with design implications for depth control, transparent handoffs, and non-templated listening mechanisms in human-centered interview automation.
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Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Helium-like ions $(Z,e,e)$ in Lagrange Mesh method, interpolating the highly-accurate energy spec...
H Olivares-Pilon, JC Lopez-Vieyra, AV Turbiner

Elbow Angle Guidance System Based on Surface Haptic Sensations Elicited by Lightweight Wearable Fabric Actuator
Kenta Yokoe, Tadayoshi Aoyama, Yuki Funabora, Masaru Takeuchi, Yasuhisa Hasegawa
https://arxiv.org/abs/2608.10404 https://arxiv.org/pdf/2608.10404 https://arxiv.org/html/2608.10404
arXiv:2608.10404v1 Announce Type: new
Abstract: The demand for wearable haptic devices has rapidly increased for various applications. However, many haptic devices interfere with the wearer's activities and movements. In addition, several haptic devices fail to elicit intuitive haptic sensations by adjusting to the natural posture of the wearer. To address these issues, we propose an elbow angle guidance system using a lightweight wearable fabric actuator. The proposed actuator is made of fabric and has two McKibben-type artificial muscles attached to it, rendering it extremely lightweight and facilitating the delivery of surface haptic sensations to intuitively induce elbow extension and flexion. The surface haptic sensation elicited by the fabric actuator is adjusted to natural body movements without interfering with the wearer's movements. Moreover, the proposed system measures and guides the elbow angle by changing the intensity of the surface haptic sensation delivered to users in real time. The accuracy of the proposed system is demonstrated through experiments involving human participants.
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Automatic Field-of-View Adjustment for a View-Expansive Microscope via LSTM-Based Gaze and Pipette Motion Interpretation
Kenta Yokoe, Takuya Hara, Tadayoshi Aoyama
https://arxiv.org/abs/2608.10401 https://arxiv.org/pdf/2608.10401 https://arxiv.org/html/2608.10401
arXiv:2608.10401v1 Announce Type: new
Abstract: Intracytoplasmic sperm injection (ICSI) operators frequently adjust the field-of-view (FOV) during procedures, which interrupts workflow and increases procedure time. Conventional microscopes require manual objective lens switching and illumination adjustments to achieve different FOV sizes. We propose an AI-based automatic FOV adjustment method integrated with a view-expansive microscope. This microscope enables the simultaneous acquisition of a large FOV and high-resolution images using a single objective lens through multiview imaging with galvanometer mirrors and high-speed vision, thereby eliminating the need for physical lens exchanges. Our method utilizes a long short-term memory (LSTM) model to predict the appropriate FOV size based on real-time analysis of the pipette's position and velocity, combined with the operator's gaze position. The AI model is trained using ICSI procedure data from an expert with over five years of micromanipulation experience. Experimental evaluation with novice operators reveals that the proposed automatic FOV adjustment system significantly improves the ICSI procedure speed, reducing the average task completion time from 60.5 to 48.0 s (p < 0.001). The experiments also demonstrate that this improvement enables novice operators to achieve ICSI working speeds equivalent to those of expert operators.
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Stroboscopic Raman Spectroscopy of Atom Optics in Quasi-Bragg Regime
Joel Gomes Baptista (LTE, IACI), Louis Pagot (LTE, IACI), S\'ebastien Merlet (LTE, IACI), Leonid Sidorenkov (LTE, IACI), Franck Pereira Dos Santos (LTE, IACI)
https://arxiv.org/abs/2608.09234

Visual-to-Haptic Augmentation in XR: A Wearable Glove for Perceptual Grounding in Multimodal Interaction
Faisal Mohd, Hamdi Elsaddik, Erhan Baturay Onural, Jihong Zhang, Fedwa Laamarti, Abdulmotaleb El Saddik
https://arxiv.org/abs/2608.10368 https://arxiv.org/pdf/2608.10368 https://arxiv.org/html/2608.10368
arXiv:2608.10368v1 Announce Type: new
Abstract: Extended Reality (XR) systems increasingly deliver high-fidelity visual and auditory experiences, yet tactile perception remains comparatively underutilized as a modality for enriching embodied interaction. This work presents a visual-to-haptic wearable glove and a feature-based visual-to-haptic mapping algorithm that translates spatial and temporal visual features from images and videos into distributed vibrotactile patterns. The proposed method extracts motion, edge, and brightness cues and fuses them into actuator-level intensity maps aligned with a 29-actuator glove arranged in a five-by-seven layout.
The system is implemented through a modular four-layer architecture comprising the XR environment, media content handling, visual-to-haptic processing, and embedded haptic hardware. A within-subject user study (N = 20) compared visual-only interaction with visual-plus-haptic augmentation across texture-based and dynamic video scenarios. Results indicate that tactile augmentation significantly improves perceived realism in dynamic video scenarios and enhances immersion and visual-tactile correspondence across conditions, with stronger and more consistent effects observed for dynamic visual events.
While the current implementation operates in a single-user, offline-synchronized configuration, the findings demonstrate that vision-driven tactile augmentation can function as a perceptual enhancement layer within multimodal XR systems. Such a layer may provide a foundation for future socially enriched XR environments where coherent multisensory grounding supports higher-level interaction and communication.
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MazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model
Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, Haoyu Li
https://arxiv.org/abs/2608.10360 https://arxiv.org/pdf/2608.10360 https://arxiv.org/html/2608.10360
arXiv:2608.10360v1 Announce Type: new
Abstract: Arabic maqam music microtonal, modal, and built on ornamented call and response is among the traditions most underserved by generative music models, whose training frameworks remain predominantly Western and equaltempered. Real time accompaniment sharpens this gap: an AI partner must listen, adapt dynamically, and respect idiomatic microtonal structures. Streaming text to music models provide strong generative capabilities but lack precise control interfaces. We present MazzikaAI, a knowledge based system that uses natural language as the actuator of a realtime control loop. By compiling live MIDI, gesture, and inferred harmony into continuously updated text prompts, MazzikaAI steers an unmodified streaming generator, Google Lyria RealTime, without requiring model finetuning. The system embeds expert knowledge of six core maqamat, characteristic ornaments, and ensemble dynamics, maintaining realtime responsiveness with subsecond keytoaudibleupdate latency. Empirical evaluations demonstrate that dynamic prompt compilation reliably grounds generation in microtonal scales, significantly increasing offgrid quartertone content over baseline generation. Beyond its core implementation, MazzikaAI illustrates how deterministic knowledgebased rules can effectively bridge expert, nonWestern musical traditions and unfinetuned foundation models. This architecture establishes a scalable paradigm for realtime humanAI cocreation, offering a generalizable blueprint for interactive accompaniment, adaptive music education, and culturally inclusive generative audio across diverse global idioms.
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Resonant photoionization dynamics during optical trapping of lithium atoms
K. Foster, S. Majumdar, D. Fischer
https://arxiv.org/abs/2608.09549 https://arxi…

ResonaVis: Visualizing Interactive Music Data to Support Reflective Music Composition for Therapeutic Contexts
Abhishek Karwankar, Elise Ruggiero, Daniel Stevens, Matthew Louis Mauriello
https://arxiv.org/abs/2608.10338 https://arxiv.org/pdf/2608.10338 https://arxiv.org/html/2608.10338
arXiv:2608.10338v1 Announce Type: new
Abstract: Designing music for therapeutic contexts requires navigating complex relationships between musical structure and listeners' sensory responses, yet composers often lack structured representations of these interactions, relying instead on intuition. We present ResonaVis, an interactive visualization system that helps composers analyze interaction and audio data from prior sessions with children with Autism Spectrum Disorder (ASD), informing future compositions. ResonaVis integrates audio features and interaction logs to capture how children engage with layered musical compositions, representing this engagement through coordinated visualizations of temporal transitions, layer co-occurrence, rhythmic activity, and spectral characteristics. Rather than prescribing strategies or supporting therapy sessions directly, the system surfaces patterns in past session data to support data-informed reflection during composition. We evaluated ResonaVis through a mixed-methods study with eight music students and a follow-up case study with two experienced composers. Results demonstrate good usability (SUS = 72.23), exceeding benchmarks for early prototypes, and show that participants could identify interaction patterns, reason about layer relationships, and make informed compositional decisions with high perceived performance and low frustration. Confidence in interpreting interaction and acoustic data for ASD-focused composition increased significantly across multiple dimensions (p < 0.05), with qualitative findings suggesting a shift toward more adaptive, data-informed composition. This work contributes a visualization design space for therapeutic music interaction data, an integrated system for compositional reflection, and empirical evidence that visualization tools support analytical reasoning and confidence in data-informed creative practice. (Abstract shortened for arXiv.)
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Narrative Keyframing for Generative Creative Writing
Chao Zhang, Abe Davis
https://arxiv.org/abs/2608.10337 https://arxiv.org/pdf/2608.10337 https://arxiv.org/html/2608.10337
arXiv:2608.10337v1 Announce Type: new
Abstract: We introduce narrative keyframing, an interaction technique for AI-assisted creative writing that lets writers specify different types of narrative constraints at selected moments in a story, then use AI to generate intervening prose. Inspired by the use of keyframing in animation, narrative keyframing offers a flexible way to connect story planning with adaptive control over generated text. We explore three types of keyframes: plot keyframes define significant events in a story, character keyframes represent how individual characters change over the narrative, and perspective keyframes capture how individual characters experience different events through first-person narratives. Plot and character keyframes offer a flexible way to adapt the type of high-level conditioning explored in previous AI writing tools to more customizable, iterative, and fine-scale control, while perspective keyframes add a new way to control characterization and focalization by using first-person narratives as an intermediary. Through a user study, we show that narrative keyframing supports a more controllable, transparent, and engaging way to use generative AI in creative writing.
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Divided Attention Amplifies the Importance of Expectation-Aligned Visualization Design
Jiho Kim, Anna L. Chinni, Karen B. Schloss, Michael Gleicher
https://arxiv.org/abs/2608.10320 https://arxiv.org/pdf/2608.10320 https://arxiv.org/html/2608.10320
arXiv:2608.10320v1 Announce Type: new
Abstract: Studies have shown that visualization design affects interpretability when visualization interpretation is the user's sole task. However, in real-world settings, users often engage with visualizations while performing concurrent tasks, such as when users simultaneously monitor alerts or respond to messages. Such divided attention may alter how users interpret visualizations, potentially increasing the importance of designs that align with viewer expectations. We investigated this possibility through two experiments comparing visualization interpretation under single-task and dual-task conditions. Specifically, we examined how well-established inferred mappings between color, spatial position, and semantic concepts affect interpretation when users perform a concurrent task, both with unlimited viewing time (Exp. 1) and under limited viewing time (Exp. 2). Our results show that divided attention amplifies the performance gap between expectation-aligned and expectation-violating designs, affecting response time, interpretation accuracy, and the ability to produce a judgment under time constraints. To explain these results, we model the user's decision-making process using a Linear Ballistic Accumulator (LBA) framework. Our findings highlight the increased importance of aligning visualization designs with viewer expectations under divided attention and introduce a process-oriented modeling approach to understanding how expectation and multitasking shape visualization interpretation.
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Fine-Tuning Large Language Models for Codebook-Guided Coding of Students' Mathematics Metaphor Responses
Liang Zhang, Stephen Hwang, Yue Ma, Jinfa Cai
https://arxiv.org/abs/2608.10276 https://arxiv.org/pdf/2608.10276 https://arxiv.org/html/2608.10276
arXiv:2608.10276v1 Announce Type: new
Abstract: Student-generated metaphors about mathematics can reveal students' attitudes, beliefs, identities, and experiences, but human expert coding of these thematically and semantically complex open-ended responses is time-intensive and difficult to scale. This study examines whether LoRA-based supervised fine-tuning of large language models (LLMs) can improve their performance on codebook-guided coding tasks for student mathematics metaphors. We used a human-coded corpus of 2,265 Grade 6-8 responses to food- and animal-based metaphor prompts and instructed the LLMs to perform two coding tasks: valence-intensity coding to capture the direction and strength of students' affective orientations toward mathematics, and thematic coding to capture students' framings of mathematics as expressed through their metaphors. We compared two proprietary models, GPT-4o mini and GPT-5 mini, under prompt-only conditions with two open-weight models, DeepSeek-R1 1.5B and Mistral 7B, evaluated before and after fine-tuning. Results show that fine-tuning substantially improved the performance and run-to-run reliability of the open-weight models across both tasks relative to their base versions. The fine-tuned compact open-weight models became competitive with, and often outperformed, the proprietary prompt-only models. These findings suggest that compact open-weight LLMs can support scalable, locally controllable, and privacy-conscious AI-assisted measurement of students' metaphor responses in mathematics education.
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