Tootfinder

I am, luckily, at a career stage where I mostly only need two-page CVs and the list of publications of the last five years. After a long time, I needed a full CV and a complete list of publications.
My bibliography is up-to-date, but having switched to #Pandoc with #Typst as backend, I had litt…

#ScottishLabour are committing in their manifesto to:
> Recommit the NHS to delivering single sex wards on the basis of biological sex (page 16) and
> Delivering single-sex spaces on the basis of biological sex, in NHS wards, schools, sport and everyday life (page 52)
This means, essentially, excluding

currently in a 31-tab tvtropes rabbithole where one tab is a trope that has an entire page for Danganronpa examples of that trope. I've never seen any Danganronpa. why did I open that page?

@… will look into it. Do you want to hide them from UI only, or hide completely even when navigating to the page via address bar?
I'm asking because there are some new server options, in upcoming Mastodon version, that an instance admin can disable federated and/or local timelines, which applies to all users of the instance. (Phanpy already support this, mastodo…

📰 Deine finanzielle Unterstützung macht’s möglich: Ich informiere täglich über #Zukunftsthemen, die uns alle betreffen. #Klimaschutz, #Energiewende und

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

I am, luckily, at a career stage where I mostly only need two-page CVs and the list of publications of the last five years. After a long time, I needed a full CV and a complete list of publications.
My bibliography is up-to-date, but having switched to #Pandoc with #Typst as backend, I had litt…

I am, luckily, at a career stage where I mostly only need two-page CVs and the list of publications of the last five years. After a long time, I needed a full CV and a complete list of publications.
My bibliography is up-to-date, but having switched to #Pandoc with #Typst as backend, I had litt…

Crosslisted article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- Mixture-of-Experts Framework for Field-of-View Enhanced Signal-Dependent Binauralization of Movin...
Mittal, Deppisch, Forrer, Le Sueur, Ben-Hur, Alon, Wong
https://arxiv.org/abs/2509.13548 https://mastoxiv.page/@arXiv_csSD_bot/115224207763275868
- Adaptive Diagonal Loading using Krylov Subspaces for Robust Beamforming
Manan Mittal, Ryan M. Corey, John R. Buck, Andrew C. Singer
https://arxiv.org/abs/2605.11286 https://mastoxiv.page/@arXiv_eessSP_bot/116566153677823049
- STRUM: A Spectral Transcription and Rhythm Understanding Model for End-to-End Generation of Playa...
Joshua Opria
https://arxiv.org/abs/2605.12135 https://mastoxiv.page/@arXiv_csSD_bot/116566166455341917
toXiv_bot_toot

Image depitching Trump as Christ-like savior removed from president's social media page following backlash (Megan Lebowitz/NBC News)
https://www.nbcnews.com/politics/donald-trump/image-depitching-trump-christ-savior-removed-presidents-social-media-p-rcna331554
http://www.memeorandum.com/260413/p76#a260413p76

Just realised Facebook locks you up and demands of you to sign up or log in to view my Facebook author's page, which is supposed to be public, after you scroll down a bit down the timeline. F!ck that, I am removing the links to it from my website.

🔊 #NowPlaying on #BBCRadio3:
#MusicMatters
- Turning the Page
Violinist Tasmin Little looks at how, when and why musicians retire from performance. Featuring pianist Maria João Pires, violinist Lyn Fletcher and conductor Herbert Blomstedt.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002sg0g

Crosslisted article(s) found for math.CA. https://arxiv.org/list/math.CA/new
[1/1]:
- The Green Function for Elliptic Systems in the Upper-Half Space
Martin Dindo\v{s}, Dorina Mitrea, Irina Mitrea, Marius Mitrea

Coarsening and Bifurcations in Wide-Range Two-Dimensional Totalistic Cellular Automata
Franco Bagnoli, Luca Mencarelli
https://arxiv.org/abs/2604.10082 https://arxiv.org/pdf/2604.10082 https://arxiv.org/html/2604.10082
arXiv:2604.10082v1 Announce Type: new
Abstract: We investigate Boolean, totalistic cellular automata with a majority or frustrated majority vote rule, and an interaction range of variable span. These two models show a behavior which differs from the mean-field one. The majority vote model is characterized by the presence of absorbing states, and there is a related bifurcation according to the initial density, in agreement with the mean-field approximation. For initial density equal to $0.5$, however, the dynamics is dominated by a coarsening process, which stops when clusters with a definite curvature radius are established. For the frustrated majority vote model, the mean-field approximation gives chaotic oscillations or a limit cycle. Instead, we observe active patterns, with stable density. Above a certain critical value for the interacting radius there is a bifurcation of the asymptotic density as a function of the initial one.
toXiv_bot_toot

Characterization of rf field-induced a.c. Zeeman shift in multi-level highly charged ions
Shuying Chen, Lukas J. Spie{\ss}, Alexander Wilzewski, Malte Wehrheim, Jos\'e R. Crespo L\'opez-Urrutia, Piet O. Schmidt
https://arxiv.org/abs/2604.09481

Lost page of legendary Archimedes palimpsest found in France
https://phys.org/news/2026-03-lost-page-legendary-archimedes-palimpsest.html

ELISA: An Interpretable Hybrid Generative AI Agent for Expression-Grounded Discovery in Single-Cell Genomics
Omar Coser
https://arxiv.org/abs/2603.11872 https://

When you post things on Instagram, Facebook, and X, this is what they look like to people who don’t use those platforms.

Ten years ago today, in April 2016,
the Boston Globe printed a satirical front page imagining a future Trump administration.
The page was called "alarmist," "hyperbolic," "dystopian."
But we’ve put up with so much since then it now looks like . . . a slow Thursday?
https://

Niko Bowie (@nikobowie.bsky.social)
Ten years ago today, in April 2016, the Boston Globe printed a satirical front page imagining a future Trump administration. The page was called "alarmist," "hyperbolic," "dystopian." But we’ve put up with so much since then it now looks like . . . a slow Thursday?

Axios' total Q1 content output was down 22% YoY, but page views rose 30% and page views per visitor rose 22%, as the outlet shifts away from chasing traffic (Charlotte Tobitt/Press Gazette)
https://pressgazette.co.uk/north-america/axios-page-views-…

Output down, page views up: Axios shifts from volume to value
Axios cut its output by almost a quarter to concentrate on adding "real value" and stop chasing traffic - but page views grew anyway.

German discount supermarket Lidl is offering a 2.24 kWh plug-in battery for just €299.
https://www.lidl.de/l/prospekte/aktionsprospekt-18-05-2026-23-05-2026-47a673/view/flyer/page/25?lf=HHZ
(via

#Sunstone browser now has a searchable history. The period to display can be set to the last hour, day, week, a custom timeframe or 'all'. There is also an option to group the results by host. By default, 50 results are displayed per page.
This is a WIP and subject to change. This biggest miss so far is a link in the page to navigate beyond the first page of results, although y…

Action Needed! Sign Open Letter Calling for a Crackdown on Animal Experiments for Chemicals #AnimalRights

Sign Our Open Letter to Prevent Cruel Chemical Animal Experiments
The EU could allow more animals to suffer in chemical experiments. Take action now.

General control of linear cellular automata
Franco Bagnoli, Sara Dridi, Bassem Sellami, Amira Mouakher, Samira El Yacoubi
https://arxiv.org/abs/2604.10076 https://arxiv.org/pdf/2604.10076 https://arxiv.org/html/2604.10076
arXiv:2604.10076v1 Announce Type: new
Abstract: In mathematics and engineering, control theory is concerned with the analysis of dynamical systems through the application of suitable control inputs. One of the prominent problems in control theory is controllability which concerns the ability to determine whether there exists a control input that can steer a dynamical system from an initial state to a desired final state within a finite time horizon. There is a general theory for controlling linear or linearizable system, but it cannot be applied to discrete systems like cellular automata, which is the problem of that we address in this paper. We develop a general theory for linear (and affine) cellular automata, and apply it to examples of one-dimensional and two-dimensional Boolean cases. We introduce the concept of controllability matrix and show that controllability holds if and only if the controllability matrix is invertible.
toXiv_bot_toot

Youtube showed me the most Dutch thing ever recently: a volunteer firefighter cycling from home to the station when he gets a page, on a dedicated emergency bicycle equipped with red and blue flashing lights on the wheels and handlebars.
The only thing missing would be a stroopwafel in the mouth anime toast style, lol.
(Dutch folks, is this common or just something one guy did on his own initiative? The emergency lights on the bike I mean, not the cycling to the fire house)

You hate to see it...

https://hit-counter.net may be the first and only site made this year to implement the netscape <blink> tag. no, i am not kidding. it's on the home page. eat your heart out, dino's tomato pie

If you hate that largely pointless LinkedIn sidebar:
```
.scaffold-layout__aside {
display: none;
}
.scaffold-layout--reflow .scaffold-layout__content--sidebar-main-aside {
grid-template-areas: "sidebar main main";
}
```
Because I was forced to use LinkedIn today.

Jimmy Carter wins Wisconsin primary, 50 years ago April 7, 1976, although Udall thought he had it. #OTD #Fargo Forum newspaper front page.

Art from 'Aliens: Reapers' from 1991. This was a short 8 page no dialog comic story by John Arcudi and illustrated by Simon Bisley about 'Reapers' - an alien race that infiltrate Xenomorph hives to eat their eggs. My kinda alien race. 🍳
#Alien #SimonBisley

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[4/6]:
- Neural Proposals, Symbolic Guarantees: Neuro-Symbolic Graph Generation with Hard Constraints
Chuqin Geng, Li Zhang, Mark Zhang, Haolin Ye, Ziyu Zhao, Xujie Si
https://arxiv.org/abs/2602.16954 https://mastoxiv.page/@arXiv_csLG_bot/116102434757760085
- Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Fres...
Ziliang Zhao, et al.
https://arxiv.org/abs/2602.17050 https://mastoxiv.page/@arXiv_csLG_bot/116102517335590034
- MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sam...
Fu, Lin, Fang, Zheng, Hu, Shao, Qin, Pan, Zeng, Cai
https://arxiv.org/abs/2602.17550 https://mastoxiv.page/@arXiv_csLG_bot/116102581561441103
- A Theoretical Framework for Modular Learning of Robust Generative Models
Corinna Cortes, Mehryar Mohri, Yutao Zhong
https://arxiv.org/abs/2602.17554 https://mastoxiv.page/@arXiv_csLG_bot/116102582216715527
- Multi-Round Human-AI Collaboration with User-Specified Requirements
Sima Noorani, Shayan Kiyani, Hamed Hassani, George Pappas
https://arxiv.org/abs/2602.17646 https://mastoxiv.page/@arXiv_csLG_bot/116102592047544971
- NEXUS: A compact neural architecture for high-resolution spatiotemporal air quality forecasting i...
Rampunit Kumar, Aditya Maheshwari
https://arxiv.org/abs/2602.19654 https://mastoxiv.page/@arXiv_csLG_bot/116125610403473755
- Augmenting Lateral Thinking in Language Models with Humor and Riddle Data for the BRAINTEASER Task
Mina Ghashami, Soumya Smruti Mishra
https://arxiv.org/abs/2405.10385 https://mastoxiv.page/@arXiv_csCL_bot/112472190479013167
- Watermarking Language Models with Error Correcting Codes
Patrick Chao, Yan Sun, Edgar Dobriban, Hamed Hassani
https://arxiv.org/abs/2406.10281 https://mastoxiv.page/@arXiv_csCR_bot/112636307340218522
- Learning to Control Unknown Strongly Monotone Games
Siddharth Chandak, Ilai Bistritz, Nicholas Bambos
https://arxiv.org/abs/2407.00575 https://mastoxiv.page/@arXiv_csMA_bot/112715733875586837
- Classification and reconstruction for single-pixel imaging with classical and quantum neural netw...
Sofya Manko, Dmitry Frolovtsev
https://arxiv.org/abs/2407.12506 https://mastoxiv.page/@arXiv_quantph_bot/112806295477530195
- Statistical Inference for Temporal Difference Learning with Linear Function Approximation
Weichen Wu, Gen Li, Yuting Wei, Alessandro Rinaldo
https://arxiv.org/abs/2410.16106 https://mastoxiv.page/@arXiv_statML_bot/113350611306532443
- Big data approach to Kazhdan-Lusztig polynomials
Abel Lacabanne, Daniel Tubbenhauer, Pedro Vaz
https://arxiv.org/abs/2412.01283 https://mastoxiv.page/@arXiv_mathRT_bot/113587812663608119
- MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
Mehran Shabanpour, Kasra Rad, Sadaf Khademi, Arash Mohammadi
https://arxiv.org/abs/2502.17457 https://mastoxiv.page/@arXiv_eessSP_bot/114069047434302054
- Tightening Optimality gap with confidence through conformal prediction
Miao Li, Michael Klamkin, Russell Bent, Pascal Van Hentenryck
https://arxiv.org/abs/2503.04071 https://mastoxiv.page/@arXiv_statML_bot/114120074927291283
- SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
Juhyeon Park, Peter Yongho Kim, Jiook Cha, Shinjae Yoo, Taesup Moon
https://arxiv.org/abs/2503.06437 https://mastoxiv.page/@arXiv_csCV_bot/114142690988862508
- How much does context affect the accuracy of AI health advice?
Prashant Garg, Thiemo Fetzer
https://arxiv.org/abs/2504.18310 https://mastoxiv.page/@arXiv_econGN_bot/114414380916957986
- Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
Daniel J. Strick, Carlos Garcia, Anthony Huang, Thomas Gardos
https://arxiv.org/abs/2505.06646 https://mastoxiv.page/@arXiv_eessIV_bot/114499319986528625
- Sharp Gaussian approximations for Decentralized Federated Learning
Soham Bonnerjee, Sayar Karmakar, Wei Biao Wu
https://arxiv.org/abs/2505.08125 https://mastoxiv.page/@arXiv_statML_bot/114505047719395949
- HoloLLM: Multisensory Foundation Model for Language-Grounded Human Sensing and Reasoning
Chuhao Zhou, Jianfei Yang
https://arxiv.org/abs/2505.17645 https://mastoxiv.page/@arXiv_csCV_bot/114572928659057348
- A Copula Based Supervised Filter for Feature Selection in Diabetes Risk Prediction Using Machine ...
Agnideep Aich, Md Monzur Murshed, Sameera Hewage, Amanda Mayeaux
https://arxiv.org/abs/2505.22554 https://mastoxiv.page/@arXiv_statML_bot/114589983451462525
- Synthesis of discrete-continuous quantum circuits with multimodal diffusion models
Florian F\"urrutter, Zohim Chandani, Ikko Hamamura, Hans J. Briegel, Gorka Mu\~noz-Gil
https://arxiv.org/abs/2506.01666 https://mastoxiv.page/@arXiv_quantph_bot/114618420761346125
toXiv_bot_toot

Weird, I just got the r/freebsd page from three months ago (3rd February) at <https://old.reddit.com/r/freebsd/new/>.
It's not an entirely cached copy. The single maroon rectangle contains text that was updated two days ago (Sunday 10th May):
"temporarily blocked 2025-08-07―2…

edit_wiktionary: Wiktionary edits (2010)
Three bipartite user-page networks extracted from Wiktionary, for French, German, and English. 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 139 nodes and 171 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[5/5]:
- AppellateGen: A Benchmark for Appellate Legal Judgment Generation
Yang, Wang, Fan, Hu, Wang, Liu, Zeng, Fu, Gong, Zhang, Li, Zheng, Xu
https://arxiv.org/abs/2601.01331 https://mastoxiv.page/@arXiv_csCY_bot/115847038572575387
- Vision-Language Agents for Interactive Forest Change Analysis
James Brock, Ce Zhang, Nantheera Anantrasirichai
https://arxiv.org/abs/2601.04497 https://mastoxiv.page/@arXiv_csCV_bot/115864542639529766
- FigEx2: Visual-Conditioned Panel Detection and Captioning for Scientific Compound Figures
Jifeng Song, Arun Das, Pan Wang, Hui Ji, Kun Zhao, Yufei Huang
https://arxiv.org/abs/2601.08026 https://mastoxiv.page/@arXiv_csCV_bot/115892719657942341
- Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
Luo, Zhang, Hu, Zhang, Wang, Su, Sun, Liang, Zhang
https://arxiv.org/abs/2601.10079 https://mastoxiv.page/@arXiv_csLG_bot/115904206341755873
- Compounding Disadvantage: Auditing Intersectional Bias in LLM-Generated Explanations Across India...
Amogh Gupta (Neil), Niharika Patil (Neil), Sourojit Ghosh (Neil), SnehalKumar (Neil), S Gaikwad
https://arxiv.org/abs/2601.14506 https://mastoxiv.page/@arXiv_csCY_bot/115937624654783353
- Measuring Complexity at the Requirements Stage: Spectral Metrics as Development Effort Predictors
Vierlboeck, Pugliese, Nilchian, Grogan, Babu
https://arxiv.org/abs/2602.07182 https://mastoxiv.page/@arXiv_csSE_bot/116045826365214235
- CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
Sarkar, Pautrat, Miksik, Pollefeys, Armeni, Rad, Dusmanu
https://arxiv.org/abs/2602.13191 https://mastoxiv.page/@arXiv_csCV_bot/116079824094529198
- MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Pref...
Ashutosh Chaubey, Jiacheng Pang, Mohammad Soleymani
https://arxiv.org/abs/2603.03192 https://mastoxiv.page/@arXiv_csCV_bot/116170511143131333
- Image Generation Models: A Technical History
Rouzbeh Shirvani
https://arxiv.org/abs/2603.07455 https://mastoxiv.page/@arXiv_csCV_bot/116204960613280699
- Rethinking Attention Output Projection: Structured Hadamard Transforms for Efficient Transformers
Shubham Aggarwal, Lokendra Kumar
https://arxiv.org/abs/2603.08343 https://mastoxiv.page/@arXiv_csLG_bot/116205064359384079
- FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Chaojie Sun, Bin Cao, Tiantian Li, Chenyu Hou, Ruizhe Li, Jing Fan
https://arxiv.org/abs/2603.12702 https://mastoxiv.page/@arXiv_csIR_bot/116237827836520478
- CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
Yongqiang Chen, Chenxi Liu, Zhenhao Chen, Tongliang Liu, Bo Han, Kun Zhang
https://arxiv.org/abs/2603.14575 https://mastoxiv.page/@arXiv_csLG_bot/116243782215605653
- Silicon Bureaucracy and AI Test-Oriented Education: Contamination Sensitivity and Score Confidenc...
Yiliang Song, Hongjun An, Jiangan Chen, Xuanchen Yan, Huan Song, Jiawei Shao, Xuelong Li
https://arxiv.org/abs/2603.21636 https://mastoxiv.page/@arXiv_csAI_bot/116283590092117172
- Problems with Chinchilla Approach 2: Systematic Biases in IsoFLOP Parabola Fits
Eric Czech, Zhiwei Xu, Yael Elmatad, Yixin Wang, William Held
https://arxiv.org/abs/2603.22339 https://mastoxiv.page/@arXiv_csLG_bot/116288991182888131
- X-OPD: Cross-Modal On-Policy Distillation for Capability Alignment in Speech LLMs
Di Cao, Dongjie Fu, Hai Yu, Siqi Zheng, Xu Tan, Tao Jin
https://arxiv.org/abs/2603.24596 https://mastoxiv.page/@arXiv_eessAS_bot/116300009464853696
toXiv_bot_toot

https://hit-counter.net may be the first and only site made this year to implement the netscape <blink> tag. no, i am not kidding. it's on the home page. eat your heart out, dino's tomato pie

Control of Cellular Automata by Moving Agents with Reinforcement Learning
Franco Bagnoli, Bassem Sellami, Amira Mouakher, Samira El Yacoubi
https://arxiv.org/abs/2604.10066 https://arxiv.org/pdf/2604.10066 https://arxiv.org/html/2604.10066
arXiv:2604.10066v1 Announce Type: new
Abstract: In this exploratory paper we introduce the problem of cognitive agents that learn how to modify their environment according to local sensing to reach a global goal. We concentrate on discrete dynamics (cellular automata) on a two-dimensional system. We show that agents may learn how to approximate their goal when the environment is passive, while this task becomes impossible if the environment follows an active dynamics.
toXiv_bot_toot

yep

This book cover design drives me nuts.
It looks great but the cover is cut off to let the first page be visible at the edge. That is disturbingly annoying to flip through.

Film „Junge Mütter“
Vollkommen wahr erfunden
https://zeitung.faz.net/data/697/reader/reader.html?social=#!preferred/0/package/697/pub/973/page/14/content/126976

Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement
Danilo de Oliveira, Tal Peer, Timo Gerkmann
https://arxiv.org/abs/2605.12107 https://arxiv.org/pdf/2605.12107 https://arxiv.org/html/2605.12107
arXiv:2605.12107v1 Announce Type: new
Abstract: Speech enhancement (SE) systems are typically evaluated using a variety of instrumental metrics. The use of automatic speech recognition (ASR) systems to evaluate SE performance is common in literature, usually in terms of word error rate (WER). However, WER scores depend heavily on the choice of ASR system and text normalization pipeline. In this paper, we investigate how modern ASR models correlate with human recognition of enhanced speech. A listening experiment reveals that modern ASR models with large-scale noisy training and embedded language models correlate more with human WER than simpler ones, with a transducer model providing the most reliable transcriptions. Nevertheless, we also show that these models' robustness to noise and use of context can be uninformative to an acoustics-focused evaluation of enhancement performance.
toXiv_bot_toot

Nice to have this "cite this repository" menu on Github. Too bad, tough, that the citation info is not visible (at least here on Firefox).
I'm looking at this page: https://github.com/WDscholia/scholia

Reading the Wikipedia deletion page for "Ghost Murmur" - a supposed CIA technology for locating people over long distances based on heartbeats - allegedly used in the Dude 44 rescue.
Mainly because it's driving me crazy trying to remember which movie or video game it's from.

A Standardized Framework For Evaluating Gene Expression Generative Models
Andrea Rubbi, Andrea Giuseppe Di Francesco, Mohammad Lotfollahi, Pietro Li\`o
https://arxiv.org/abs/2603.11244

I realize that in 2026, saying the WaPo op-ed page has gotten dumber than a bag of bricks is not saying something novel, but "Your salted caramel mocha latte is destroying society", invoking Edmund Burke, might set a benchmark for the year even though we're only 3 months in.

So here is the context of the crazy 1985 magazine illustrration: you find the complete article at https://archive.org/details/Unix_World_Vol02_02.pdf/page/n29/mode/2up h/t Ralf Bülow on X

A nice reminder that @… just shared :)
#ArtemisII

Ils sont où les résultats du vote ?
https://www.lemonde.fr/recherche/?search_keywords=Hongrie &page=1

#ARVO2026 today, May 6, 2:30-2:45pm room 403 talk 4493 in Emerging technologies for low vision: Comparing tactile & auditory sensory substitution on visual cortex recruitment in the early and late blind https://

Crosslisted article(s) found for math.KT. https://arxiv.org/list/math.KT/new
[1/1]:
- Combinatorial Models for Linear Homotopy Theories
Atabey Kaygun
https://…

K: Now streaming on Knowledge Documentaries

EMERGENCE: Women in the Storm
Nova Ami and Velcrow Ripper explore the realities of climate change through the perspectives of women on the frontlines during recent disasters in BC and the Northwest Territories. As heat domes, megafires and atmospheric rivers reshape our world, how do we protect the things that are most vital?

Sharp Eigenfunction Bounds on the Torus for large $p$
Daniel Pezzi
https://arxiv.org/abs/2603.10927 https://arxiv.org/pdf/2603.10927

[2026-04-13 Mon (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
toXiv_bot_toot

Sources: 60 Minutes correspondent Sharyn Alfonsi is out at the end of the month when her contract expires; Weiss threatened to sue Alfonsi over 60 Minutes leaks (Tatiana Siegel/Page Six)
https://pagesix.com/2026/05/08/hollywo

'60 Minutes' star Sharyn Alfonsi lawyers up for Bari Weiss battle as she faces the chop from CBS at end of the month
Last week, Sharyn Alfonsi told the crowd while picking up a Ridenhour Prize: “My hope recently has been that I still have a job.”

Zero crossings of the differential scalar polarizability of Ba$^ $ clock transition
N Jayjong, M D K Lee, K J Arnold, M D Barrett
https://arxiv.org/abs/2603.10740 https://

Mirra Andreeva, the 18-year-old who surprised many by winning this event last year,
torched Solana Sierra of Argentina in 50 minutes
winning 6-0, 6-0.
She won 54 of the 75 total points.
Andreeva advances to play either Leylah Fernandez or Katerina Siniakova in the third round Monday.
Other top 10 women required a little more time on court Saturday.
No. 2 Iga Swiatek only had room for one bagel but then battled past Kayla Day 6-0, 7-6(2).
No. 3 Elena …

Thanks to a question in A11y Slack, I dug up recent testing results on dynamic accDescriptions:
https://www.darins.page/articles/dynamic-accessible-descriptions-reference#update-03-11-2026
11 March 2026 from @…

Dynamic accessible descriptions reference - Darin Senneff
I recently needed to test the support of a dynamic accessible description – a element’s description that is initially one (or no) value, then changes to…

Cross-Species Antimicrobial Resistance Prediction from Genomic Foundation Models
Huilin Tai
https://arxiv.org/abs/2603.11141 https://arxiv.org/pdf/2603.111…

📰 Deine finanzielle Unterstützung macht’s möglich: Ich informiere täglich über #Zukunftsthemen, die uns alle betreffen. #Klimaschutz, #Energiewende und

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

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[5/6]:
- Watermarking Degrades Alignment in Language Models: Analysis and Mitigation
Apurv Verma, NhatHai Phan, Shubhendu Trivedi
https://arxiv.org/abs/2506.04462 https://mastoxiv.page/@arXiv_csCL_bot/114635190037336859
- Sensory-Motor Control with Large Language Models via Iterative Policy Refinement
J\^onata Tyska Carvalho, Stefano Nolfi
https://arxiv.org/abs/2506.04867 https://mastoxiv.page/@arXiv_csAI_bot/114635187854195641
- ICE-ID: A Novel Historical Census Dataset for Longitudinal Identity Resolution
de Carvalho, Popov, Kaatee, Correia, Th\'orisson, Li, Bj\"ornsson, Sigur{\dh}arson, Dibangoye
https://arxiv.org/abs/2506.13792 https://mastoxiv.page/@arXiv_csAI_bot/114703312162525342
- Feedback-driven recurrent quantum neural network universality
Lukas Gonon, Rodrigo Mart\'inez-Pe\~na, Juan-Pablo Ortega
https://arxiv.org/abs/2506.16332 https://mastoxiv.page/@arXiv_quantph_bot/114732532383196043
- Programming by Backprop: An Instruction is Worth 100 Examples When Finetuning LLMs
Cook, Sapora, Ahmadian, Khan, Rocktaschel, Foerster, Ruis
https://arxiv.org/abs/2506.18777 https://mastoxiv.page/@arXiv_csAI_bot/114738213040759661
- Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
Jiechen Chen, Bipin Rajendran, Osvaldo Simeone
https://arxiv.org/abs/2506.21324 https://mastoxiv.page/@arXiv_csNE_bot/114754367612728319
- Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
Pierre Boudart (SIERRA), Pierre Gaillard (Thoth), Alessandro Rudi (PSL, DI-ENS, Inria)
https://arxiv.org/abs/2507.05306 https://mastoxiv.page/@arXiv_statML_bot/114822374525501660
- Characterizing State Space Model and Hybrid Language Model Performance with Long Context
Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon
https://arxiv.org/abs/2507.12442 https://mastoxiv.page/@arXiv_csAR_bot/114867589638074984
- Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Da...
Ayush Roy, Samin Enam, Jun Xia, Won Hwa Kim, Vishnu Suresh Lokhande
https://arxiv.org/abs/2507.19575 https://mastoxiv.page/@arXiv_csCV_bot/114935399825741861
- TASER: Table Agents for Schema-guided Extraction and Recommendation
Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
https://arxiv.org/abs/2508.13404 https://mastoxiv.page/@arXiv_csAI_bot/115060386723032051
- Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling
Nuno Costa, Julija Zavadlav
https://arxiv.org/abs/2509.02060 https://mastoxiv.page/@arXiv_qbioBM_bot/115139546511384706
- PCPO: Proportionate Credit Policy Optimization for Aligning Image Generation Models
Jeongjae Lee, Jong Chul Ye
https://arxiv.org/abs/2509.25774 https://mastoxiv.page/@arXiv_csCV_bot/115298580419859537
- Multi-hop Deep Joint Source-Channel Coding with Deep Hash Distillation for Semantically Aligned I...
Didrik Bergstr\"om, Deniz G\"und\"uz, Onur G\"unl\"u
https://arxiv.org/abs/2510.06868 https://mastoxiv.page/@arXiv_csIT_bot/115343320768797486
- MoMaGen: Generating Demonstrations under Soft and Hard Constraints for Multi-Step Bimanual Mobile...
Chengshu Li, et al.
https://arxiv.org/abs/2510.18316 https://mastoxiv.page/@arXiv_csRO_bot/115416889485910123
- A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs
Roxanne Holden, Luana Ruiz
https://arxiv.org/abs/2510.20954 https://mastoxiv.page/@arXiv_statML_bot/115445273121677005
- Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
Bazinska, Mathys, Casucci, Rojas-Carulla, Davies, Souly, Pfister
https://arxiv.org/abs/2510.22620 https://mastoxiv.page/@arXiv_csCR_bot/115451397563132982
- Uncertainty Calibration of Multi-Label Bird Sound Classifiers
Raphael Schwinger, Ben McEwen, Vincent S. Kather, Ren\'e Heinrich, Lukas Rauch, Sven Tomforde
https://arxiv.org/abs/2511.08261 https://mastoxiv.page/@arXiv_csSD_bot/115535982708483824
- Two-dimensional RMSD projections for reaction path visualization and validation
Rohit Goswami (Institute IMX and Lab-COSMO, \'Ecole polytechnique f\'ed\'erale de Lausanne)
https://arxiv.org/abs/2512.07329 https://mastoxiv.page/@arXiv_physicschemph_bot/115688910885717951
- Distribution-informed Online Conformal Prediction
Dongjian Hu, Junxi Wu, Shu-Tao Xia, Changliang Zou
https://arxiv.org/abs/2512.07770 https://mastoxiv.page/@arXiv_statML_bot/115689281155541568
- Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Ang Lv, Jin Ma, Yiyuan Ma, Siyuan Qiao
https://arxiv.org/abs/2512.23447 https://mastoxiv.page/@arXiv_csCL_bot/115808311310246601
toXiv_bot_toot

An invitation to dimension interpolation
Jonathan M. Fraser
https://arxiv.org/abs/2603.10729 https://arxiv.org/pdf/2603.10729

Quantum-logic spectroscopy of forbidden vibrational transitions in single nitrogen molecular ions
Aleksandr Shlykov, Meissa L. Diouf, Richard Karl, Mikolaj Roguski, Umesh C. Joshi, Stefan Willitsch
https://arxiv.org/abs/2603.10553

webkb: WebKB graphs (1998)
Web graphs crawled from four Computer Science departments in 1998, with each page manually classified into one of 7 categories: course, department, faculty, project, staff, student, or other. All graphs included in a single .zip; also included are 'co-citation' graphs, which links i and j if they both point to some k. Edge weights count the number of links from i to j.
This network has 348 nodes and 33250 edges.
Tags: Informational, Web gr…

@… also, for convenience, the overview page:
<https://www.freebsd.org/releases/14.4R/>

Manuela Hoelterhoff, who won a 1983 Pulitzer for arts criticism at the WSJ and later wrote a book about the backstage world of opera, died on Wednesday at 77 (Tim Page/New York Times)
https://www.nytimes.com/2026/05/07/arts/music/manuela-hoelterhoff-dead.html

Manuela Hoelterhoff, Pulitzer-Winning Arts Critic, Dies at 77
She won the top journalism honor for criticism while with The Wall Street Journal. She later wrote a wry, perceptive book about the backstage world of opera.

[2026-03-12 Thu (UTC), 2 new articles found for math.CA Classical Analysis and ODEs]
toXiv_bot_toot

Kinetic-Optimal Scheduling with Moment Correction for Metric-Induced Discrete Flow Matching in Zero-Shot Text-to-Speech
Dong Yang, Yiyi Cai, Haoyu Zhang, Yuki Saito, Hiroshi Saruwatari
https://arxiv.org/abs/2605.09386 https://arxiv.org/pdf/2605.09386 https://arxiv.org/html/2605.09386
arXiv:2605.09386v1 Announce Type: new
Abstract: Metric-induced discrete flow matching (MI-DFM) exploits token-latent geometry for discrete generation, but its practical use is limited by two issues: heuristic schedulers requiring hyperparameter search, and finite-step path-tracking error from its first-order continuous-time Markov chain (CTMC) solver. We address both issues. First, we derive a kinetic-optimal scheduler for prescribed scalar-parameterized probability paths, and instantiate it for MI-DFM as a training-free numerical schedule that traverses the path at constant Fisher-Rao speed. Second, we introduce a finite-step moment correction that adjusts the jump probability while preserving the CTMC jump destination distribution. We validate the resulting method, GibbsTTS, on codec-based zero-shot text-to-speech (TTS). Under controlled comparisons with a unified architecture and large-scale dataset, GibbsTTS achieves the best objective naturalness and is preferred in subjective evaluations over masked discrete generative baselines. Additionally, in comparison with the evaluated state-of-the-art TTS systems, GibbsTTS shows strong speaker similarity, achieving the highest similarity on three of four test sets and ranking second on the fourth. Project page: https://ydqmkkx.github.io/GibbsTTSProject
toXiv_bot_toot

[2026-03-12 Thu (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Reducing Linguistic Hallucination in LM-Based Speech Enhancement via Noise-Invariant Acoustic-Semantic Distillation
Zheng Wang, Xiaobin Rong, Hang Su, Tianyi Tan, Junnan Wu, Lichun Fan, Zhenbo Luo, Jian Luan, Jing Lu
https://arxiv.org/abs/2605.08608 https://arxiv.org/pdf/2605.08608 https://arxiv.org/html/2605.08608
arXiv:2605.08608v1 Announce Type: new
Abstract: Language model (LM)-based speech enhancement (SE) can generate natural-sounding speech, but under severe noise it often suffers from unreliable conditioning, leading to perceptually plausible yet linguistically incorrect outputs. To address this issue, we propose L3-SE, a noise-invariant acoustic-semantic distillation framework for reducing linguistic hallucination in LM-based SE. The proposed method learns a noise-invariant conditioning encoder from noisy speech by jointly distilling two complementary clean-speech targets: an acoustic target for reconstruction fidelity and a semantic target for linguistic consistency. The resulting noise-invariant acoustic-semantic representations are used to condition a decoder-only autoregressive language model, which predicts clean acoustic tokens that are decoded into enhanced speech. To support high-quality generation, we further employ a high-fidelity codec built on learnable weighted WavLM layer representations as the discrete acoustic interface. By improving the reliability of conditioning under adverse conditions, the proposed framework substantially reduces hallucination and improves content faithfulness. Experiments show that the proposed method consistently outperforms prior LM-based speech enhancement baselines on linguistic consistency metrics, with especially clear gains under low-SNR and reverberant conditions, while maintaining competitive perceptual quality. Audio samples are available at https://max1wz.github.io/L3-SE-Demo-Page/. The complete source code will be released after the manuscript is accepted.
toXiv_bot_toot

Electron loss and target excitation in keV-energy proton collisions with B and C$^{ }$
N. W. Antonio, I. B. Abdurakhmanov, A. E. Gayosso, A. S. Kadyrov
https://arxiv.org/abs/2605.10669

＂Clean up the pkgbase wiki page and remove outdated information.＂
💚 <https://github.com/FreeBSDFoundation/status-updates/blob/main/Isaac_Freund/2026-02.md> 💚
– via <

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[6/6]:
- Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning
Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang
https://arxiv.org/abs/2601.09708 https://mastoxiv.page/@arXiv_csCV_bot/115898618760721320
- Universality of Many-body Projected Ensemble for Learning Quantum Data Distribution
Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima
https://arxiv.org/abs/2601.18637 https://mastoxiv.page/@arXiv_quantph_bot/115967001797773134
- FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
Haozheng Luo, Zhuolin Jiang, Md Zahid Hasan, Yan Chen, Soumalya Sarkar
https://arxiv.org/abs/2601.19001 https://mastoxiv.page/@arXiv_csCL_bot/115972068838908815
- Analysis of Shuffling Beyond Pure Local Differential Privacy
Shun Takagi, Seng Pei Liew
https://arxiv.org/abs/2601.19154 https://mastoxiv.page/@arXiv_csDS_bot/115971701218309765
- CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models
Weining Fu, Kai Shu, Kui Xu, Qiangfeng Cliff Zhang
https://arxiv.org/abs/2602.02620
- XtraLight-MedMamba for Classification of Neoplastic Tubular Adenomas
Sultana, Afsar, Rahu, Singh, Shula, Combs, Forchetti, Asari
https://arxiv.org/abs/2602.04819
- Flow-Based Conformal Predictive Distributions
Trevor Harris
https://arxiv.org/abs/2602.07633 https://mastoxiv.page/@arXiv_statML_bot/116045671088130364
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
https://arxiv.org/abs/2602.08550 https://mastoxiv.page/@arXiv_csCV_bot/116046486984991360
- UI-Venus-1.5 Technical Report
Venus Team, et al.
https://arxiv.org/abs/2602.09082 https://mastoxiv.page/@arXiv_csCV_bot/116050980295461008
- The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
Xincan Feng, Noriki Nishida, Yusuke Sakai, Yuji Matsumoto
https://arxiv.org/abs/2602.09448 https://mastoxiv.page/@arXiv_csIR_bot/116051022881293649
- Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
https://arxiv.org/abs/2602.16729 https://mastoxiv.page/@arXiv_csCR_bot/116101884238965526
- The Metaphysics We Train: A Heideggerian Reading of Machine Learning
Heman Shakeri
https://arxiv.org/abs/2602.19028 https://mastoxiv.page/@arXiv_csCY_bot/116125225694943789
- Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
David Schmotz, Luca Beurer-Kellner, Sahar Abdelnabi, Maksym Andriushchenko
https://arxiv.org/abs/2602.20156 https://mastoxiv.page/@arXiv_csCR_bot/116125330557447048
- A Very Big Video Reasoning Suite
Maijunxian Wang, et al.
https://arxiv.org/abs/2602.20159 https://mastoxiv.page/@arXiv_csCV_bot/116125664801070747
toXiv_bot_toot

SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements
Ege Erdem, Shoichi Koyama, Tomohiko Nakamura, Orchisama Das, Zoran Cvetkovi\'c
https://arxiv.org/abs/2605.10398 https://arxiv.org/pdf/2605.10398 https://arxiv.org/html/2605.10398
arXiv:2605.10398v1 Announce Type: new
Abstract: Reconstructing a 3D sound field from sparse microphone measurements is a fundamental yet ill-posed problem, which we address through Acoustic Transfer Function (ATF) magnitude estimation. ATF magnitude encapsulates key perceptual and acoustic properties of a physical space with applications in room characterization and correction. Although recent generative paradigms such as Flow Matching (FM) have achieved state-of-the-art performance in speech and music generation, their potential in spatial audio remains underexplored. We propose a novel framework for 3D ATF magnitude reconstruction as a guided generation task, with a 3D U-Net conditioned by a permutation-invariant set encoder. This architecture enables reconstruction from an arbitrary number of sparse inputs while leveraging the stable and efficient training properties of FM. Experimental results demonstrate that SF-Flow achieves accurate reconstruction up to \SI{1}{kHz}, trains substantially faster than the autoencoder baseline, and improves significantly with dataset size.
toXiv_bot_toot

Amazon adds Clips, a feed of TikTok-like vertical short-form videos, to Prime Video's mobile home page for select US customers on iOS, Android, and Fire devices (Will Shanklin/Engadget)
https://www.engadget.com/2168176/prime-video-is-adding-a-tiktok-like-feed/

Prime Video Is Adding A TikTok-Like Feed
Your wish for a vertical recommendation carousel has been granted.

A spectropolarimeter for vacuum-ultraviolet emission lines
Nobuyuki Nakamura, Ryohko Ishikawa, Motoshi Goto
https://arxiv.org/abs/2604.08191 https://arxiv.…

PoDAR: Power-Disentangled Audio Representation for Generative Modeling
Alejandro Luebs, Mithilesh Vaidya, Ishaan Kumar, Sumukh Badam, Stephen W. Bailey, Matthew Bendel, Jose Sotelo, Xingzhe He
https://arxiv.org/abs/2605.10084 https://arxiv.org/pdf/2605.10084 https://arxiv.org/html/2605.10084
arXiv:2605.10084v1 Announce Type: new
Abstract: The performance of audio latent diffusion models is primarily governed by generator expressivity and the modelability of the underlying latent space. While recent research has focused primarily on the former, as well as improving the reconstruction fidelity of audio codecs, we demonstrate that latent modelability can be significantly improved through explicit factor disentanglement. We present PoDAR (Power-Disentangled Audio Representation), a framework that utilizes a randomized power augmentation and latent consistency objective to decouple signal power from invariant semantic content. This factorization makes the latent space easier to model, which both accelerates the convergence of downstream generative models and improves final overall performance. When applied to a Stable Audio 1.0 VAE with an F5-TTS generator, PoDAR achieves about a $2\times$ acceleration in convergence to match baseline performance, while increasing final speaker similarity by 0.055 and UTMOS by 0.22 on the LibriSpeech-PC dataset. Furthermore, isolating power into dedicated channels enables the application of CFG exclusively to power-invariant content, effectively extending the stable guidance regime to higher scales.
toXiv_bot_toot

[2026-04-08 Wed (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
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Crosslisted article(s) found for math.CA. https://arxiv.org/list/math.CA/new
[1/1]:
- Differentiable normal linearization of partially hyperbolic dynamical systems
Weijie Lu, Yonghui Xia, Weinian Zhang, Wenmeng Zhang

Single-Microphone Audio Point Source Discriminative Localization From Reverberation Late Tail Estimation
Matthew Maciejewski
https://arxiv.org/abs/2605.09627 https://arxiv.org/pdf/2605.09627 https://arxiv.org/html/2605.09627
arXiv:2605.09627v1 Announce Type: new
Abstract: Location information can be a valuable signal for audio segmentation tasks, especially as a complement to methods focusing on the content or qualities of the sources. Though audio source localization is typically performed using the observations of the signal captured by multiple microphones in space, information about a source's location is captured by a single microphone through its arrival time and spectral amplitude--given the source's emitted signal is known. Since reverberation originates from the audio sources in a room, it accordingly contains some information about the emitted audio signals. The late-tail part of reverberation is relatively invariant to the local source and microphone geometry, depending primarily on only the room itself, and thus can provide the necessary reference information about audio signals that depends minimally on their location. In this work, we leverage the robust late-tail estimation of Weighted Prediction Error (WPE) dereverberation within a probabilistic framework to estimate the likelihood of two audio signals collected in the same room as having originated from the same location. We demonstrate the effectiveness of our approach on the speaker diarization task in both simulated and real environments.
toXiv_bot_toot

Commissioning of a fast fine-step electron-energy-scan system for electron-ion crossed-beams experiments
B. Michel D\"ohring, Alexander Borovik Jr., Kurt Huber, Alfred M\"uller, Stefan Schippers
https://arxiv.org/abs/2603.09393

[2026-04-10 Fri (UTC), no new articles found for nlin.CG Cellular Automata and Lattice Gases]
toXiv_bot_toot

RADAR Challenge 2026: Robust Audio Deepfake Recognition under Media Transformations
Hieu-Thi Luong, Xuechen Liu, Ivan Kukanov, Zheng Xin Chai, Kong Aik Lee
https://arxiv.org/abs/2605.09568 https://arxiv.org/pdf/2605.09568 https://arxiv.org/html/2605.09568
arXiv:2605.09568v1 Announce Type: new
Abstract: RADAR Challenge 2026 is an APSIPA Grand Challenge on Robust Audio Deepfake Recognition under Media Transformations, designed to simulate realistic media conditions in real-world audio distribution pipelines, including compression, resampling, noise, and reverberation. It consists of two phases: an English development phase with labeled data for analysis and paper writing, and a multilingual evaluation phase containing more than 100,000 utterances in English, Singapore English, Mandarin Chinese, Taiwanese Mandarin, Japanese, and Vietnamese. Systems are evaluated using equal error rate (EER) for binary real/fake classification. This paper describes the challenge task, the construction of the data set, the evaluation protocol, and the overall results. During the challenge, 33 teams submitted to the development phase and 22 teams submitted to the final evaluation phase. The reported results highlight the remaining challenges of robust audio deepfake detection under multilingual and media-transformed conditions.
toXiv_bot_toot

High-Order Matrix Numerov for Singular Potentials
Nir Barnea
https://arxiv.org/abs/2603.09350 https://arxiv.org/pdf/2603.09350

Evaluating the Expressive Appropriateness of Speech in Rich Contexts
Tianrui Wang, Ziyang Ma, Yizhou Peng, Haoyu Wang, Zhikang Niu, Zikang Huang, Yihao Wu, Yi-Wen Chao, Yu Jiang, Yuheng Lu, Guanrou Yang, Xuanchen Li, Hexin Liu, Chunyu Qiang, Cheng Gong, Yifan Yang, Tianchi Liu, Junyu Wang, Nana Hou, Meng Ge, Fuming You, Wei Yang, Zhongqian Sun, Haifeng Hu, Xiaobao Wang, Eng Siong Chng, Xie Chen, Longbiao Wang, Jianwu Dang
https://arxiv.org/abs/2605.09413 https://arxiv.org/pdf/2605.09413 https://arxiv.org/html/2605.09413
arXiv:2605.09413v1 Announce Type: new
Abstract: Evaluating expressive speech remains challenging, as existing methods mainly assess emotional intensity and overlook whether a speech sample is expressively appropriate for its contextual setting. This limitation hinders reliable evaluation of speech systems used in narrative-driven and interactive applications, such as audiobooks and conversational agents. We introduce CEAEval, a Context-rich framework for Evaluating Expressive Appropriateness in speech, which assesses whether a speech sample expressively aligns with the underlying communicative intent implied by its discourse-level narrative context. To support this task, we construct CEAEval-D, the first context-rich speech dataset with real human performances in Mandarin conversational speech, providing narrative descriptions together with fifteen dimensions of human annotations covering expressive attributes and expressive appropriateness. We further develop CEAEval-M, a model that integrates knowledge distillation, planner-based multi-model collaboration, adaptive audio attention bias, and reinforcement learning to perform context-rich expressive appropriateness evaluation. Experiments on a human-annotated test set demonstrate that CEAEval-M substantially outperforms existing speech evaluation and analysis systems.
toXiv_bot_toot

Saturated absorption and electromagnetically induced transparency of residual rubidium in dense cesium vapor
Armen Sargsyan, Anahit Gogyan, David Sarkisyan
https://arxiv.org/abs/2603.09284

Latent Secret Spin: Keyed Orthogonal Rotations for Blind Speech Watermarking in Anisotropic Latent Spaces
Emma Coletta, Massimiliano Todisco, Michele Panariello, Antonio Faonio, Nicholas Evans
https://arxiv.org/abs/2605.08431 https://arxiv.org/pdf/2605.08431 https://arxiv.org/html/2605.08431
arXiv:2605.08431v1 Announce Type: new
Abstract: We introduce Latent Secret Spin (LSS), a blind speech watermarking method based on geometric operations in codec latent space. Based upon orthogonal rotations to principal components, LSS induces imperceptible but detectable covariance signatures according to a pseudo-random watermarking schedule. The scheme generalises across datasets, preserves perceptual quality and, unlike some learned, neural watermarking schemes, it does not require neural network training, is resistant to common signal manipulations and is flexible to payload size. Analyses show that structured latent-space watermarking is a promising and interpretable alternative to existing approaches.
toXiv_bot_toot

Strong Electron Correlation Identified in Planetary Atomic Structure
Xinglong Yu, Yongyan Han, Zhenjie Shen, Yong-Kang Fang, Shushu Ruan, Jie Liu, Zhixian Wu, Xincheng Wang, Ahai Chen, Wei-Chao Jiang, Kiyoshi Ueda, Liang-You Peng, Yuhai Jiang
https://arxiv.org/abs/2603.09102

DiffVQE: Hybrid Diffusion Voice Quality Enhancement Under Acoustic Echo and Noise
Haljan Lugo Girao, Ernst Seidel, Pejman Mowlaee, Ziyue Zhao, Tim Fingscheidt
https://arxiv.org/abs/2605.08189 https://arxiv.org/pdf/2605.08189 https://arxiv.org/html/2605.08189
arXiv:2605.08189v1 Announce Type: new
Abstract: Acoustic echo and background noise pose challenges on speech enhancement in hands-free systems and speakerphones. Discriminatively trained end-to-end methods represent a powerful solution for joint acoustic echo control (AEC) and denoising. However, with the advent of generative methods, diffusion-based approaches have seen remarkable performance in speech enhancement tasks. In this work, to the best of our knowledge, we provide the first (still non-causal) diffusion-based AEC model (DiffVQE) that is reproducible in terms of topology, training data, and training framework. So far, without employing diffusion, Microsoft's discriminative DeepVQE model has been shown to excel any of the ICASSP 2023 AEC Challenge entries achieving remarkable performance. Using data from the Interspeech 2025 URGENT Challenge for a diverse, high-quality training dataset, our DiffVQE excels DeepVQE both in echo and noise control performance, as well as in computational complexity and model size.
toXiv_bot_toot

Recent advances in Ultralong-range Rydberg molecules
Jingxu Bai, Yuechun Jiao, Xiao-Qiang Shao, Weibin Li, Jianming Zhao
https://arxiv.org/abs/2603.09091 https://

Rethinking Entropy Minimization in Test-Time Adaptation for Autoregressive Models
Wei-Ping Huang, Chee-En Yu, Guan-Ting Lin, Hung-yi Lee
https://arxiv.org/abs/2605.08186 https://arxiv.org/pdf/2605.08186 https://arxiv.org/html/2605.08186
arXiv:2605.08186v1 Announce Type: new
Abstract: Test-Time Adaptation (TTA) via entropy minimization (EM) has proven effective for classification tasks, yet its application to generative autoregressive models remains theoretically fragmented. Existing approaches typically rely on distinct heuristics, such as teacher forcing with pseudo labels or policy-gradient-based reinforcement learning, without a unified mathematical foundation. In this work, we resolve this discrepancy by deriving a rigorous formulation of EM tailored to autoregressive models. We show that the exact objective naturally decomposes into a token-level policy gradient loss and a token-level entropy loss, and we reinterpret prior methods as partial realizations of this unified formulation. Using Whisper ASR as a testbed, we demonstrate that our approach consistently improves performance across more than 20 diverse domains, including acoustic noise, accents, and multilingual settings.
toXiv_bot_toot

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Many-body theory predictions of positron binding energies in five-membered heterocycles involving...
S. K. Gregg, D. G. Green

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Compatibility of trapped ions and dielectrics at cryogenic temperatures
M. Bruff, L. Sonderhouse, K. N. David, J. Stuart, D. H. Slichter, D. Leibfried

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Quantum Simulation of Massive Relativistic Fields in 2 1 Dimensions
Zhang, Wang, Wong, Jenkins, Konstantinou, Dogra, Thywissen, Eigen, Hadzibabic

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Static-Field Tunneling Ionization in Space-Fractional Quantum Mechanics
Marcelo F. Ciappina

Relativistic KRCI calculations of symmetry violating interaction constants for YbX (X: Cu, Ag and Au) molecules
Ankush Thakur, Renu Bala, H. S. Nataraj
https://arxiv.org/abs/2604.08478

Nuclear forward scattering of Bessel beams in $^{229}$Th:CaF$_2$
Alexander Franz, Tobias Kirschbaum, Adriana P\'alffy
https://arxiv.org/abs/2604.08433 https://

[2026-05-08 Fri (UTC), 1 new article found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Bichromatic Tweezers for Qudit Quantum Computing in ${}^{87}$Sr
Enrique A. Segura Carrillo, Eric J. Meier, Michael J. Martin

Resolving magnetic-sublevel structure in Rydberg Autler-Townes spectra with arbitrary RF polarization
Noah Schlossberger, Rajavardhan Talashila, Stone B. Oliver, Nikunjkumar Prajapati, William J. Watterson, Christopher L. Holloway
https://arxiv.org/abs/2605.05466

[2026-04-08 Wed (UTC), no new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot