Tootfinder

Facebook plans to test a full-screen "immersive video" player when users open the app, replacing the newsfeed, in select international markets this year (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Facebook Is Testing If People Want to Swap Their Feed For “Immersive Video”
The social platform says it will test a video-first look for users when they open the app in select countries, potentially bringing it to the U.S. next year.

Making an updating pass on the ngscopeclient user guide before the v0.2 release.
We're up to 363 pages of total PDF guide and I'm around halfway through this pass, at page 151. Still so much more to do.

The slack "there's been a glitch..." page always brings a tear to my eye.

I wrote this (in German), pretty much just a much shorter version of Ben Sluckin's excellent practical advice on how to use AI tools in a way that's compatible with academic work. (page 4) https://staff.germanistik.rub.de/digitale-forensische-linguistik/wp-content/uploads/sites/159/2026/07/00-hausarbeiten-hinweise.pdf
/cc @…

Facebook plans to test a full-screen "immersive video" player when users open the app, replacing the newsfeed, in select international markets this year (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

Facebook Is Testing if People Want to Swap Their Feed for “Immersive Video”
The social platform says it will test a video-first look for users when they open the app in select countries, potentially bringing it to the U.S. next year.

📰 Täglich von 6 bis 23 Uhr findest Du hier News aus Medien & Forschung auf Deutsch zu #Klimawandel, #Klimaschutz, #Energiewende,

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

Wenn alle betrügen, ist es kein Betrug mehr
https://zeitung.faz.net/data/897/reader/reader.html?social=#!preferred/0/package/897/pub/1261/page/9/content/173567

FURBNET PROGRESS: database system has been rewritten, it's now *way* faster! MIDI previews are generated and cached on demand, as well! give it a try! https://www.furbnet.com/index.iva

Replaced article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/2]:
- Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection
Alex Kantchelian, et al.
https://arxiv.org/abs/2412.06700 https://mastoxiv.page/@arXiv_csCR_bot/113627226016881063
- Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
Puwei Lian, Yujun Cai, Songze Li, Bingkun Bao
https://arxiv.org/abs/2505.20955 https://mastoxiv.page/@arXiv_csCR_bot/114584229384238830
- Cryptographic Choreographies
Sebastian M\"odersheim, Simon Lund, Alessandro Bruni, Marco Carbone, Rosario Giustolisi
https://arxiv.org/abs/2602.12967 https://mastoxiv.page/@arXiv_csCR_bot/116079470877038972
- TALUS: FIPS-204-Exact Threshold ML-DSA via Boundary Clearance
Leo Kao, Raymond Chang
https://arxiv.org/abs/2603.22109 https://mastoxiv.page/@arXiv_csCR_bot/116283533730322814
- SafeHarbor: Defining Precise Decision Boundaries via Hierarchical Memory-Augmented Guardrail for ...
Liu, Ying, Zhang, Zou, Zhang, Yang, Zhang, Peng
https://arxiv.org/abs/2605.05704 https://mastoxiv.page/@arXiv_csCR_bot/116537968700983890
- AI Security Policy Should Assess Systems, Not Only Models
Michael A. Riegler, Inga Str\"umke
https://arxiv.org/abs/2605.09504 https://mastoxiv.page/@arXiv_csCR_bot/116560756584469721
- Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models
Cheng Li, Jiexiong Liu, Yixuan Chen, Yi Li
https://arxiv.org/abs/2607.13093 https://mastoxiv.page/@arXiv_csCR_bot/116928605403267286
- From Neural Intent to Cryptographic Authorization: Securing AI-Driven Enterprise Workflows
Jiasi Weng, Jian Weng, Minrong Chen, Ming Li, Jia-Nan Liu, Zhi Li, Yue Zhang
https://arxiv.org/abs/2607.15596 https://mastoxiv.page/@arXiv_csCR_bot/116951166143038362
- Towards an Automated Test of LLM Security Knowledge
Shufan Chai, Liangliang Sun, Jessica Staddon
https://arxiv.org/abs/2607.18496 https://mastoxiv.page/@arXiv_csCR_bot/116962579240952448
- DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool ...
Navid Aftabi, Abhishek Hanchate, Satish Bukkapatnam, Dan Li
https://arxiv.org/abs/2508.21797 https://mastoxiv.page/@arXiv_eessSY_bot/115128274334268839
- CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
Xin Yang, Omid Ardakanian
https://arxiv.org/abs/2512.12086 https://mastoxiv.page/@arXiv_csLG_bot/115729063749487767
toXiv_bot_toot

[2026-07-24 Fri (UTC), no new articles found for math.CT Category Theory]
toXiv_bot_toot

Updating the ngscopeclient manual in advance of the upcoming v0.2 release and decided to add this note in hopes that it will save someone else hours of debugging in the future.

Crosslisted article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Geometric Superconducting Diode Effect in an NbN Nanoring
Li, Huang, Li, Shang, Yang, Xu, Yue, Lyu, Li, Xiong, Tu, Tao, Jia, Chen, Wang, Wu, Wang
https://arxiv.org/abs/2607.20794 https://mastoxiv.page/@arXiv_condmatsuprcon_bot/116973866726287047
- Uni-XAS: Alignment-Driven Bidirectional Multimodal Learning for X-ray Absorption Spectroscopy
Zhong, Zhao, Huang, Xu, Xu, Tao, Fang, Cheng, Tang
https://arxiv.org/abs/2607.20906 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116973913129528548
- Monolithic Magneto-Optical Mach-Zehnder Isolator Using Laser-Annealed Iron Garnet on a Silicon Wa...
Sugita, Motoji, Yoshihara, Maeda, Yamamoto, Miyashita, Ishiyama, Goto
https://arxiv.org/abs/2607.20964 https://mastoxiv.page/@arXiv_physicsoptics_bot/116973875770402667
- Matrix-free phase-field modeling of fracture in micromechanical testing simulations of inelastic ...
Di Gioacchino, Shakeri, Atkins, Stengel, Ghaffari, Thompson, Brown
https://arxiv.org/abs/2607.21150 https://mastoxiv.page/@arXiv_physicscompph_bot/116973849426928766
- Machine learning based prediction of optical properties in two-dimensional Mo-W-S-Se-Te transitio...
Vivek Chowdhury, Tarvir Anjum Aditto, Md. Samrat, Hafiz Imtiaz, Ahmed Zubair
https://arxiv.org/abs/2607.21246 https://mastoxiv.page/@arXiv_condmatmtrlsci_bot/116973941637010048
- Bayesian evidence adaptive pursuit to identify neutron sources with scatter-based spectrometers
David Breitenmoser, William Heriot, Peter Marleau, Shaun D. Clarke, Sara A. Pozzi
https://arxiv.org/abs/2607.21543 https://mastoxiv.page/@arXiv_physicsinsdet_bot/116973871839453430
toXiv_bot_toot

BBC Master 512 in DOS Plus; GEM, Turbo Pascal ( the 6502 Welcome panel). The video on the Master 512 is a bit odd - it's not got enough VRAM to be able to do normal PC modes, and it's not got the character gen to do hardware text (except teletext which is no use to the PC side). It was DOS Plus not MSDOS so some stuff was touchy. Hmm only thing I'm missing is the mouse, it might be in the loft somewhere.
I also need to try a PI RGB thing, my LCD doesn't like some st…

Are you a screen reader user who relies on F6 navigation? Maybe you have an opinion on navigating landmarks on web pages via a proposed `focuslandmark`?
https://github.com/openui/open-ui/issues/1472#issuecomment-5062013011

edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. 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 90 nodes and 127 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

GitHub plans a two-tier bug bounty system, cutting rewards for public reports and boosting payouts for an invite-only group, amid an AI-powered submission surge (Carly Page/The Register)
https://www.theregister.com/devops/2026/07

GitHub slashes public bug bounty payouts as AI report flood buries its security team
Code shack also putting new limits on first-time researchers, and reserving the biggest rewards for a hand-picked group of proven hunters

Artifact side peaks in saturated absorption spectroscopy caused by inappropriate lock-in amplification
Leo Matsuoka
https://arxiv.org/abs/2608.23596 https://

Development of Neutron Transmutation Doped Germanium (NTD-Ge) for Cryogenic Applications
Kangkang Zhao, Mingxuan Xue, Haiping Peng, Deyong Duan, Yunlong Zhang, Yi Li, Junfeng Yang, Xintan Deng, Hongjun Zhang, Huaichang Ran, Sicheng Wen, Xiaolian Wang, Zizong Xu
https://arxiv.org/abs/2608.21392

Replaced article(s) found for nlin.CD. https://arxiv.org/list/nlin.CD/new
[1/1]:
- The Binary Crisis Clock: Controlled by Sparse Ternary Interventions
Ma{\l}gorzata Nowak-K\c{e}pczyk
https://arxiv.org/abs/2607.02207 https://mastoxiv.page/@arXiv_nlinCG_bot/116854955645757455
- A multi-ensemble mean-field reduction method for networks of globally coupled phase oscillators w...
Richard Gast, Shotaro Takasu, Helmut Schmidt, Ann Kennedy
https://arxiv.org/abs/2607.09516 https://mastoxiv.page/@arXiv_condmatdisnn_bot/116911529672874736
- Gravity-Driven Eco-Epidemiological Dynamics in Tri-Trophic Food Chains
Yuvrajsingh Pravinsingh Patil, Eckehard Sch\"oll, Fakhteh Ghanbarnejad, Chandrakala Meena
https://arxiv.org/abs/2607.18434 https://mastoxiv.page/@arXiv_qbioPE_bot/116962557615085309
toXiv_bot_toot

RE: https://beige.party/@maxleibman/116965367300703261
Not a representative audience, self-selected and not a scientific sample, and yet: Four thousand to zero is quite a statement, that makes us wonder again if websites that do page obscuring pop-ups actua…

Let's talk about money today, or How my odd money habits make sense to me.
#blog

LinkedIn’s API is absolutely wild — how many hoops do I gotta jump through to get an API key that posts to my LinkedIn page?

Klimapsychologie:
Hier eine Aufzählung der beliebtesten Ausreden
https://www.klimapsychologie.com/wp/?page_id=303
Und hier die Drachen der Untätigkeit, (allerdings auf Englisch, aber es gibt ja Übersetzungsprogramme), die wir alle bezwingen müssen, um endlich in die Gän…

Crosslisted article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[1/1]:
- TopoGuard: Graph Theory Based Defenses Against Split-Knowledge Attacks on RAG
Chahana Dahal, Zuobin Xiong
https://arxiv.org/abs/2607.20437 https://mastoxiv.page/@arXiv_csCL_bot/116973867316185089
- Isolating LLM Alignment from Regex: Zero Coverage and Metric-Dependent Divergence Under Adversari...
Alexandre Cristov\~ao Maiorano
https://arxiv.org/abs/2607.20494 https://mastoxiv.page/@arXiv_csAI_bot/116973970735647184
- Edit-Neighboring Data Streams and Privacy under Continual Observation
Joel Daniel Andersson, Anamay Chaturvedi, Monika Henzinger, Roodabeh Safavi
https://arxiv.org/abs/2607.20727 https://mastoxiv.page/@arXiv_csDS_bot/116973794572869732
- Beyond Heavy Log Curation: Perplexity-Based APT Detection via Unsupervised, Context-Augmented Lan...
Shoya Otsu, Kei Suzuki, Toshiaki Koike-Akino, Jing Liu, Ye Wang
https://arxiv.org/abs/2607.20832 https://mastoxiv.page/@arXiv_csLG_bot/116973999245670512
- The Consensus Number of Untraceable Cryptocurrencies
Christian Cachin, David Lehnherr, Juan Villacis, Fran\c{c}ois-Xavier Wicht
https://arxiv.org/abs/2607.20929 https://mastoxiv.page/@arXiv_csDC_bot/116973788672146161
- Weak Private Information Retrieval for Graph-based Storage
Shodasakshari Vidya, Chandan Anand, Prasad Krishnan
https://arxiv.org/abs/2607.21014 https://mastoxiv.page/@arXiv_csIT_bot/116973843557672147
- Risk-Limiting Audits for Parliamentary Majorities
Jack Freestone, Dennis Leung, Damjan Vukcevic
https://arxiv.org/abs/2607.21082 https://mastoxiv.page/@arXiv_statAP_bot/116973845690486258
- Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference
Xiaolong Liang, Juanjuan Li, Rui Qin, Yisheng Lv
https://arxiv.org/abs/2607.21162 https://mastoxiv.page/@arXiv_csLG_bot/116974022251021755
- Advances in STV Margin Computation
Michelle Blom, Alexander Ek, Peter J. Stuckey, Vanessa Teague, Damjan Vukcevic
https://arxiv.org/abs/2607.21178 https://mastoxiv.page/@arXiv_csGT_bot/116973834510813731
- Unconditional Unclonable Encryption
Prabhanjan Ananth, Amit Sahai
https://arxiv.org/abs/2607.21551 https://mastoxiv.page/@arXiv_quantph_bot/116974006325118063
toXiv_bot_toot

Almost like he wants another 9-11 type attack, which he thinks he will then be able to seize extra powers as a result of such an attack. The Reichstag may have been fire, but I don't think a reboot will work as he hopes.
"Congress created…TSA after…September 11, 2001…Before…airlines contracted…private security firms to screen…but…9/11 attacks showed…private system had dangerous vulnerabilities. Now…Trump administration is resurrecting that…"

July 21, 2026
The front page of yesterday’s New York Times featured some of the 440,000 Americans from Arizona alone who have lost Supplemental Nutrition Assistance Program (SNAP) benefits since the Republicans’ One Big Beautiful Bill Act made the deepest cuts to SNAP in its history, expanded work rules, and shifted costs to the states even as cuts to federal grant programs have forced Arizona to lay off a third of its caseworkers.

This is what cve.org is showing when I don't allow JavaScript execution for a third party domain (mitre.org) in my LibreWolf browser: "Service is currently unavailable." 🤦‍♂️
I guess the #security community should do better than that.
And yes, when JavaScript is disabled for cve.org, I do get a helpful message that informs me that the web site can't work without JavaS…

[2026-08-26 Wed (UTC), no new articles found for math.HO History and Overview]
toXiv_bot_toot

@… I tried to make a payment on your chuffed.org page today, but it says 'donations closed'. What's happened? Are you all right?

[2026-06-26 Fri (UTC), no new articles found for physics.med-ph Medical Physics]
toXiv_bot_toot

On Website Technicals (2022-06) - Tech updates: 100% good page experience, conexDHW, Review.name, a11y, isAccessibleForFree, hunspell en_GB, throbber. - https://www.earth.org.uk/note-on-site-technicals-61.html

On Website Technicals (2022-06)
Tech updates: 100% good page experience, conexDHW, Review.name, a11y, isAccessibleForFree, hunspell enGB, throbber.

The US government’s latest allegations that Cuba is behind “many of the most significant upheavals in recent American political history”
and that its leaders pose “a unique threat to American homeland security”
have come as startling revelations to those living under the six-month-long US oil blockade in Havana,
where desperate people search through piles of uncollected rubbish for food, or else swelter at home in 24-hour-plus blackouts.
The unsigned 100-page report, …

US claims of Cuba’s ‘unique threat’ jar with reality of hunger and blackouts
State department’s 100-page report is latest push in Trump administration campaign to bring down government

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 …

[2026-08-26 Wed (UTC), 3 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Replaced article(s) found for math.CT. https://arxiv.org/list/math.CT/new
[1/1]:
- Double Categories of Open Systems: the Cospan Approach
John C. Baez
https://

Gate Voltage Effect on Pulse Detection Efficiency of Perimeter-Gated SPADs
Hunter Guthrie, Md Sakibur Sajal, Zexi Liu, Marc Dandin
https://arxiv.org/abs/2608.21371 https://

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
- Reflector-Free, Highly Confined Love-Like SAWs Enabled by a Phononic Metasurface for Real-Time Mo...
Monaldi, Kosior, Mart\'inez, Badie, Alem, Sarry, Oudich
https://arxiv.org/abs/2604.24436 https://mastoxiv.page/@arXiv_physicsappph_bot/116481341300116455
- A Rapid Reconstruction Method of Gamma Radiation Field based on Normalized Proper Orthogonal Deco...
Kai Tan, Hojoon Son, Fan Zhang
https://arxiv.org/abs/2505.07088 https://mastoxiv.page/@arXiv_physicsmedph_bot/114499371059179663
- A universal framework for nonlinear frequency combs under electro-optic modulation
Xue, Lv, Wu, Lei, Cao, Lei, Wang, Zhu, Li, Gong, Zhu, Hu
https://arxiv.org/abs/2511.21059 https://mastoxiv.page/@arXiv_physicsoptics_bot/115620753361832407
toXiv_bot_toot

[2026-07-24 Fri (UTC), no new articles found for nlin.CD Chaotic Dynamics]
toXiv_bot_toot

With alt. Also top of page 2: https://storage.courtlistener.com/recap/gov.uscourts.njd.601006/gov.uscourts.njd.601006.12.0.pdf
What you get when the agents & agency get incentives to detain and the detainee is sent to a private …

The Birth of Number Theory (Book VII of Euclid's Elements) from the Arithmetization of Pythagorean Music
Stelios Negrepontis, Vassiliki Farmaki, Angeliki Pisimisi
https://arxiv.org/abs/2608.22572

Crosslisted article(s) found for math.CT. https://arxiv.org/list/math.CT/new
[1/1]:
- The doctrinal G\"odel's completeness theorem and the type space functor
Marco Abbadini, Francesca Guffanti

[2026-08-25 Tue (UTC), 12 new articles found for physics.ins-det Instrumentation and Detectors]
toXiv_bot_toot

edit_wikibooks: Wikipedia book edits (2010)
Two bipartite user-page networks extracted from Wikipedia, about books. 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 84 nodes and 112 edges.
Tags: Informational, Web graph, Multigraph, Timestamps

[2026-07-24 Fri (UTC), 16 new articles found for cs.CR Cryptography and Security]
toXiv_bot_toot

Second-Order Rayleigh-Schr\"odinger Perturbation Theory for the Grasp
G. Gaigalas, P. Rynkun, L. Kitovien\.{e}
https://arxiv.org/abs/2609.29272 https://

[2026-07-24 Fri (UTC), no new articles found for physics.app-ph Applied Physics]
toXiv_bot_toot

Sources: Alphabet has more than quadrupled its office space in Miami, partially driven by Larry Page's and Sergey Brin's residential real estate purchases (Anna J Kaiser/Bloomberg)
https://www.bloomberg.com/news/articles/20

Bent Functions and the Completed Maiorana-McFarland Class
Enes Pasalic, Alexandr Polujan, Fengrong Zhang, Sadmir Kudin
https://arxiv.org/abs/2608.21461 https://

Crosslisted article(s) found for nlin.CD. https://arxiv.org/list/nlin.CD/new
[1/1]:
- Driven criticality links universal computation and optimal representations
Adri\'an Roig, Miguel A. Mu\~noz, Guillermo B. Morales
https://arxiv.org/abs/2607.21232 https://mastoxiv.page/@arXiv_condmatdisnn_bot/116973851588623673
toXiv_bot_toot

[2026-07-23 Thu (UTC), 3 new articles found for math.CT Category Theory]
toXiv_bot_toot

[2026-09-25 Fri (UTC), 1 new article found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

[2026-08-25 Tue (UTC), 2 new articles found for math.HO History and Overview]
toXiv_bot_toot

GPE: Evaluating Robust Evidence Aggregation for Fact Verification under Controllable GEO-Style Poisoning
Zhaoqi Wang, Zijian Zhang, Xiaomei Yuan, Pengtao Kou, Jiamou Liu, Zhen Li, Liehuang Zhu
https://arxiv.org/abs/2607.20730 https://arxiv.org/pdf/2607.20730 https://arxiv.org/html/2607.20730
arXiv:2607.20730v1 Announce Type: new
Abstract: Large language models increasingly use search tools to retrieve up-to-date information, introducing a new attack surface in which retrieved documents can be manipulated. This risk is amplified by the development of generative engine optimization, which can make selected content more likely to be retrieved, cited, and adopted by models. Existing fact-verification benchmarks and evaluation frameworks do not provide the controlled evidence environments needed to assess robustness against GEO poisoning. We therefore propose GPE, which consists of a multi-domain fact-verification benchmark and an evaluation framework for controlling evidence sources and poisoning ratios. Experiments across multiple verification methods and poisoning attacks demonstrate that GPE exposes robustness degradation and efficiency trade-offs that cannot be observed through clean evaluation alone, confirming the need to evaluate fact verification under adversarial evidence environments.
toXiv_bot_toot

Replaced article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- Gain-Layer Project
Niels G. Sorgenfrei, et al.

webkb: WebKB graphs (1998)
Web graphs crawled from four Computer Science departments in 1998, with each page manually classified into one of 7 categories: course, department, faculty, project, staff, student, or other. All graphs included in a single .zip; also included are 'co-citation' graphs, which links i and j if they both point to some k. Edge weights count the number of links from i to j.
This network has 349 nodes and 1393 edges.
Tags: Informational, Web gra…

Some categorical remarks on coarse subspaces of coarse spaces
Muneto Miyaji, Hiroaki Nagaya, Kento Ogawa, Takayuki Okuda
https://arxiv.org/abs/2607.19846 https://

Quantum statistics on atom-ion Feshbach resonances
Joachim Siemund, Fabian Thielemann, Jonathan Grieshaber, Wei Wu, Patrick Mullan, Panagiotis Giannakeas, Krzysztof Jachymski, Tobias Schaetz
https://arxiv.org/abs/2606.26995

Leaky Language Models: Stealing Architecture and Inference Optimizations via Per-Token Timing
Sadegh Majidi, Niloofar Mireshghallah, Kazem Taram
https://arxiv.org/abs/2607.20723 https://arxiv.org/pdf/2607.20723 https://arxiv.org/html/2607.20723
arXiv:2607.20723v1 Announce Type: new
Abstract: This work presents LeakyLMs, a set of attacks that leak proprietary model, architecture, and deployment information from production language models. LeakyLMs is the first to demonstrate that key model and deployment details can be inferred using only token generation timing, even when interacting through remote APIs. LeakyLMs introduces two core attacks. The first attack targets inference optimizations and deployment strategies. For example, our attack detects whether a provider uses speculative decoding, a widely deployed inference-time optimization, and further identifies the context length of the draft model used in the pipeline. Our measurements show that Google Gemini Flash 2.5 uses speculative decoding with a draft context window of approximately 128K tokens. The second attack recovers key architectural properties, including the number of transformer layers, hidden dimension size, and number of attention heads. To achieve this, LeakyLMs builds a detailed and accurate model of token-generation timing on modern NVIDIA GPUs, characterizing how latency scales with model configuration and hardware parameters. The attack then performs a search over the architecture space using this timing model. In experiments with Llama models, the near-correct architectural configuration appears in the top-10 guesses more than 90% of the time.
toXiv_bot_toot

Crosslisted article(s) found for physics.ins-det. https://arxiv.org/list/physics.ins-det/new
[1/1]:
- How Architecture and Training Affect TPC Representations Across Experiments
Tyler Wheeler, et al.

A Syntactic Approach to Ulmer's Bialgebras
David Forsman
https://arxiv.org/abs/2607.19587 https://arxiv.org/pdf/2607.19587

Infinite-time surface flux for full-dimensional three-body breakup dynamics
Jinzhen Zhu
https://arxiv.org/abs/2606.26178 https://arxiv.org/pdf/2606.26178…

Security Vulnerability Patterns in AI-Generated Code: A Cross-Model Comparative Study
Shanna M. Kahn, John D. Hastings
https://arxiv.org/abs/2607.20713 https://arxiv.org/pdf/2607.20713 https://arxiv.org/html/2607.20713
arXiv:2607.20713v1 Announce Type: new
Abstract: LLM-based coding tools enable non-expert users to generate routine automation scripts that may enter enterprise workflows without meaningful security review. This study examines that risk directly. Code was collected from ChatGPT, Microsoft Copilot, and Google Gemini using identical prompts across three automation domains. Claude Code performed a standardized vulnerability review. Each identified vulnerability was scored using CVSS v3.1 and mapped to the OWASP Top 10:2021 and the MITRE ATT&CK frameworks. Every script contained exploitable vulnerabilities. Nine of the 17 identified vulnerability classes appeared in code from all three models, while 14 of the 17 vulnerability classes appeared in at least two models. The weighted CVSS scores across platforms differed by less than 10%. The risk is not tied to any particular model but rather to the task category. Organizations should therefore ask not which tool to trust, but instead whether LLM-generated automation code should be deployed without review.
toXiv_bot_toot

Post-diffusion cooling effects on Hall-derived active lithium donor profiles in high-purity germanium
Kunming Dong, Dongming Mei, Anupama Karki, Partrick Burns, Sanjay Bhattarai
https://arxiv.org/abs/2608.23511

Twisted Deligne products of semisimple tensor categories
Pavel Etingof, Dmitri Nikshych, Victor Ostrik
https://arxiv.org/abs/2607.19560 https://arxiv.org/p…

[2026-06-26 Fri (UTC), 2 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Evaluating Large Language Models for Symbolic Security Protocol Analysis
Paolo Modesti, Syed Ahmed, Ioannis Sfyrakis, Derek Enodolomwanyi
https://arxiv.org/abs/2607.20712 https://arxiv.org/pdf/2607.20712 https://arxiv.org/html/2607.20712
arXiv:2607.20712v1 Announce Type: new
Abstract: Security protocol verification relies on formal tools such as ProVerif and OFMC. This study evaluates whether Large Language Models (LLMs) can perform comparable analysis. We test GPT and DeepSeek in chat and reasoning modes over three runs on 130 obfuscated AnB/AnBx protocols covering 388 security goals, scored against ProVerif and OFMC. Chat models reach 69 to 81% recall at precision below 31%. Reasoning models reverse this trade-off, reaching 66.5% precision for GPT and 45.4% for DeepSeek, but detect just over half the attacks. DeepSeek's two modes share one underlying model, so the comparison isolates reasoning itself, which raises precision from 27.2% to 45.4%. The GPT contrast spans a model-version change and is only suggestive. All models perform worst on authentication goals: reasoning models detect well under half of injective and non-injective agreement attacks, whereas chat models over-flag them at low precision. Confidentiality is the exception, with F1 up to 95.7% in reasoning mode. Verdicts are unstable across runs, identical on 89.7% of goals for GPT but 74.0% for DeepSeek. Self-reported confidence is uniformly high yet shows no meaningful correlation with correctness. On this benchmark LLMs do not match formal verification, but may serve, at best, as pre-screening filters.
toXiv_bot_toot

Performance Evaluation of a High-Granularity LYSO-SiPM-Based Position-Sensitive Detector for a One-Shot Gamma-Scanning System with Sub-Millimeter Spatial Resolution
Katyayni Tiwari, Arzoo Sharma, J\"urgen Gerl, Ivan Kojouharov, P. Herrmann, H. Schaffner, G. Aggez, Pushpendra P. Singh
https://arxiv.org/abs/2608.23371

Extreme-ultraviolet spectroscopy using quantum logic: a feasibility study for singly-ionized helium
A. Mart\'inez de Velasco, V. P. J. Barb\'e, E. L. Gr\"undeman, A. D\'iaz Calderon, M. Collombon, J. J. Krauth, C. F. Roth, M. Favier, R. Taieb, T. E. Mehlst\"aubler, P. O. Schmidt, L. S. Dreissen, K. S. E. Eikema
https://

Buzz to Boom: Detecting Message Progression Vulnerabilities in Electron Applications via Segmented Directed Fuzzing
Jianjia Yu, Zhengyu Liu, Ziyang Li, Yu Sun, Yinzhi Cao
https://arxiv.org/abs/2607.20698 https://arxiv.org/pdf/2607.20698 https://arxiv.org/html/2607.20698
arXiv:2607.20698v1 Announce Type: new
Abstract: Electron is a popular framework for building cross-platform desktop applications using web technologies. Such applications consist of multiple processes with different privilege levels that communicate via message passing. When inter-process messages carry attacker-controlled inputs, they can propagate across processes and reach privileged APIs, e.g., command execution. Such a message propagation behavior is characterized as Message Progression Vulnerabilities (MPVs). The exploitation of MPVs is challenging because it often requires multiple steps, e.g., first arbitrary code execution in one process via message passing, and then command injection in another process using another message crafted in the first process. To our knowledge, existing works on Electron security only study unsafe configurations and malicious Document Object Model (DOM) content, i.e., they cannot detect or exploit these vulnerabilities that need to be triggered by complex cross-process exploits via message passing. We present Proton, a segmented directed fuzzing framework for detecting MPVs. Our key insight is to decompose end-to-end fuzzing into per-process segments along message-passing boundaries, where the goals of fuzzing each segment are either: (i) reaching a sink in the current process or (ii) propagating the payload to the next process, to enable the exploration of another process. In the second case, the messages seed the corpus of the next segment. Finally, Proton synthesizes crash inputs from each process to validate end-to-end exploits. We evaluate Proton against 589 real-world Electron applications, resulting in 23 zero-day MPVs. Among them, 22 lead to OS command execution, including projects with over 50k GitHub stars. We responsibly disclosed all findings. To date, we have received 13 acknowledgments, 11 fixes, and 11 CVEs, including a bug bounty from Vercel.
toXiv_bot_toot

A Cosmic Muon Tomography System with Machine Learning based Momentum Measurement for Multi-Object Reconstruction and Material Characterization
Bharat Kumar Sirasva, Rohit Gupta, Satyajit Jena
https://arxiv.org/abs/2608.23141

Efficient Separation of the Isomeric State $^{26\text{m}}\text{Al}$ from the Intense Ground State Background via Sequential Optical Pumping in Collinear Laser Spectroscopy
Hoon Yu, Jung Bog Kim, Cheolmin Ham, Sung Jong Park
https://arxiv.org/abs/2608.22825

[2026-07-22 Wed (UTC), no new articles found for math.CT Category Theory]
toXiv_bot_toot

Enhancing Attack Detection Capabilities in BACnet/IP Networks Using Machine-Learning Models
Derek Manzella, John D. Hastings
https://arxiv.org/abs/2607.20686 https://arxiv.org/pdf/2607.20686 https://arxiv.org/html/2607.20686
arXiv:2607.20686v1 Announce Type: new
Abstract: Building Automation Systems (BAS) manage critical building functions using protocols such as BACnet/IP, yet defenders have limited tooling and few labeled datasets for detecting BACnet-specific attacks. This work addresses these gaps through three contributions. First, CISA's Zeek BACnet parser is modified to produce a unified per-packet log, simplifying feature engineering for machine-learning (ML) pipelines. Second, a simulated BACnet/IP testbed is developed using bacpypes3 to model a small commercial HVAC system with physics-based device behavior, schedule-aware controller logic, and per-packet attack labeling. Third, five unsupervised anomaly detection models are evaluated using baseline traffic and six BACnet attack types, including denial of service, reconnaissance, property tampering, and false data injection. Results show that One-Class SVM achieved the strongest overall performance, with an average F1 score of 0.864 across all attacks and F1 scores above 0.99 for high-volume denial-of-service and reconnaissance attacks. Detection is much stronger for high-volume attacks, such as DoS attacks and reconnaissance, than stealthier techniques such as tampering and false data injection, which scored around 77%.
toXiv_bot_toot

Impact of Environmental Stress on Low Gain Avalanche Diode Sensors Response
Mohamed Hijas Mohamed Farook, Gaetano Barone, Diallo Boye, Gabriele D'Amen, Gabriele Giacomini, Timo Peltola, Jennifer Roloff, Enrico Rossi, Trevor Russell, Sally Seidel, Alessandro Tricoli, Lixing Wang
https://arxiv.org/abs/2608.22482

Exchange and core-polarization effects on Rydberg-transition electric-dipole matrix elements in Rb and Cs
Yu Shi-Cheng, Zhen-Xiang Zhong, Cheng-Bin Li
https://arxiv.org/abs/2608.22798

Replaced article(s) found for math.CT. https://arxiv.org/list/math.CT/new
[1/1]:
- Combinatorics in (2,1)-categories
Krista Zehr
https://a…

Geometric Configurations of Perturbed Jailbreak Prompts
Lynn Delcon, Andres Algaba, Vincent Ginis
https://arxiv.org/abs/2607.20581 https://arxiv.org/pdf/2607.20581 https://arxiv.org/html/2607.20581
arXiv:2607.20581v1 Announce Type: new
Abstract: Perturbation techniques that turn unsuccessful jailbreak prompts into successful ones are continuously evolving, constituting a major security threat to LLM safety. In this paper, we investigate the internal representations of such string-level perturbed jailbreak inputs in the small weight models of the Qwen-2.5-1.5B/-3B/-7B-Instruct and Llama-3.2-1B/-3B/-3.1-8B-Instruct families. We select two representation spaces: the last-layer-last-token embedding space and the top-50 next-token probability space. The former space separates prompts based on their spelling and format, while the latter space is effectively one-dimensional but appears more complex to cluster. Within our refusal-dominated answer set we find no behavioral hyperplane in either space. Only the next token "Sure" in the 1.5B Qwen model, and both tokens "," and "\.C\.C" in the 1$ Llama model, display a significant association with a compliant-labeled answer.
toXiv_bot_toot

An integrated micro-thermometer for mid-infrared photothermal spectroscopy of dense materials built in a CMOS 200 mm pilot line
Sandy Mathew, Sonia Messaoud\`ene, Adrien Poizat, \'El\'ea Bourliaud, Marion Volpert, Jules Skubich, Stanislas Lhomme, Bertrand Bourlon, Kevin Jourde
https://arxiv.org/abs/2608.21809

Bound and Resonant Spectra of Few-Lepton Coulomb Systems
Liang-Zhen Wen, Yao Ma, Zhi-He Shen, Shi-Lin Zhu
https://arxiv.org/abs/2608.21901 https://arxiv.or…

Crosslisted article(s) found for math.CT. https://arxiv.org/list/math.CT/new
[1/1]:
- Coset representatives corresponding to Yetter-Drinfeld modules of modular group and continued fra...
Yiwei Zheng

Deepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis
Ameena Khan, Muhammad Ahsan Aziz, Muhammad Junaid Asif, Naeem Akhter, Rana Fayyaz Ahmad
https://arxiv.org/abs/2607.20579 https://arxiv.org/pdf/2607.20579 https://arxiv.org/html/2607.20579
arXiv:2607.20579v1 Announce Type: new
Abstract: Deepfake news refers to AI-generated (or AI ma-nipulated) multimedia content intentionally generated to deceive audiences by manipulating the facial expressions, or speech while maintaining the realistic appearance. The rapid progress of generative AI has made the synthesis of highly realistic fake videos and cloned voices widely accessible, posing a serious threat to the authenticity of digital news media. This paper presents a multi-modal framework that discerns the authenticity of video content by jointly exploiting audio and visual cues, thereby addressing the challenge of detecting the deepfake videos. We proposed a framework that involves features extraction from lip movements, audio content and video frames. Lip movements and speech content are encoded using the LipNet and DeepSpeech2 models, while facial features are extracted by leveraging the use of BlazeFace and represented with ResNet18. The extracted feature vectors are concatenated into a holistic video representation and classified with an ensemble of machine learning and deep learning models, including Random Forest (RF), Multi-layer Perceptron (MLP) and Long Short-Term Memory (LSTM) networks. Exten-sive experiments performed on the FakeAVCeleb dataset shows that the proposed approach attains an accuracy of 94% using augmented audio features, outperforming a state-of-the-art multi-modal ensemble baseline. The results confirm the robustness and practical potential of the proposed framework for deepfake news detection.
toXiv_bot_toot

[2026-08-25 Tue (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Precise Modeling of a Complex Solenoidal Magnetic Field Using a Combination of Analytic Functions and a PINN
Cole Kampa, Susan Dittmer, Henry Glass, Michael Schmitt
https://arxiv.org/abs/2608.21658

AuthProbe: Specification-Driven, Multi-Identity Detection of Broken Object-Level Authorization in Recruitment API
Jay Barach
https://arxiv.org/abs/2607.20574 https://arxiv.org/pdf/2607.20574 https://arxiv.org/html/2607.20574
arXiv:2607.20574v1 Announce Type: new
Abstract: Broken Object-Level Authorization (BOLA), also known as Insecure Direct Object Reference (IDOR), has topped the OWASP API Security ranking since 2019 and is the root cause of some of the largest exposures of applicant data in recruitment technology. The defining feature of this flaw class is that a malicious request is byte-for-byte indistinguishable from a legitimate one, which is precisely why web application firewalls and single identity scanners fail to catch it. We present AuthProbe, an open-source, black-box scanner that detects BOLA and IDOR in HTTP APIs by driving its tests from an OpenAPI specification and by acting under two or more identities that the operator controls. AuthProbe discovers, for each identity, the objects that identity legitimately owns, then attempts to read one identity's objects while authenticated as another and confirms a leak by comparing the response against a ground-truth fetch by the true owner. It also walks predictable identifiers to expose enumeration and reports missing authentication and existence oracles. The tool returns a severity-thresholded exit code and machine-readable reports so that it can gate a continuous integration build. On a synthetic recruitment API in which the McHire failure class is reproduced, AuthProbe detects every planted cross-identity read with no false positives on a hardened counterpart, and its running time grows linearly with the number of objects under test. AuthProbe is released under the Apache 2.0 license with an authorized-use guardrail.
toXiv_bot_toot

Replaced article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Engineering Zeeman-manifold quintets using state-dependent light shifts in neutral atoms
Heizenreder, Gerritsen, Fouka, Spreeuw, Schreck, Naini, Urech

Reconstructing High-Fidelity Light Yield Maps for Surface LArTPCs Using Crossing Cosmic Muons
Alex Heindel, Wei Shi, Angelo Ralaikoto, Shuaixiang Zhang, Laura Paulucci, Franciole Marinho, Maressa Pimenta Sampaio, Sanskar Jain
https://arxiv.org/abs/2608.21581

PhantomSeal: Proactive Deepfakes Defense with Identity/Context Protection and Forensic Tracing
Liangqin Ren, Zeyan Liu, Ye Wang, Yuxin Chen, Fengjun Li, Bo Luo
https://arxiv.org/abs/2607.20564 https://arxiv.org/pdf/2607.20564 https://arxiv.org/html/2607.20564
arXiv:2607.20564v1 Announce Type: new
Abstract: Deepfakes, especially face-swapping attacks, pose significant challenges to authenticity, security, and ethics across science, engineering, and society. While most existing detection/tracing approaches operate post hoc, proactive defenses that aim to intervene before deepfake generation remain limited in terms of real-world effectiveness. In this paper, we present PhantomSeal, the first proactive defense to simultaneously protect both the identity and the context of users' images from being used in face-swapping attacks, while supporting forensic tracing. We present a novel cloaking technique that embeds a selected identity as a stealthy identifier. This mechanism steers the deepfake generation process toward producing content that resembles the chosen cloak identity, thereby preventing successful face-swapping while enabling effective feature-based forensic analysis. The effectiveness and robustness of PhantomSeal is demonstrated in extensive experiments across different face-swapping architectures and models. For example, it reduces the attack success rate of SimSwap, an advanced deepfake model, to 0.30%, and correctly identifies 97.97% of manipulated content. Codes can be found at https://github.com/LiangqinRen/PhantomSeal
toXiv_bot_toot

Crosslisted article(s) found for physics.atom-ph. https://arxiv.org/list/physics.atom-ph/new
[1/1]:
- Universal Spin-Position Coupled Rydberg Interactions
Chengshu Li, Hui Zhai

Optical characterization and ionizing-radiation response of the BCF-20XL scintillating-wavelength-shifting fiber
W. Bae, L. Baker, K. Chen, J. Cho, K. Lang, C. Lee, E. Liang, C. Mathurin, C. Murthy, D. Myers, S. Nguyen, D. Phan, M. Proga, M. Zalikha, J. Zey
https://arxiv.org/abs/2608.21397

Measurement of the O$^{-}$ Photodetachment cross-section in the electrostatic storage ring FLSR
Oliver Forstner, Thorben Niemeyer, Andrey I. Bondarev, Markus Dworak, Vadim Gadelshin, Raphael Hasse, Lothar Schmidt, Markus Sch\"offler, Matou Stemmler, Kurt E. Stiebing, Dominik Studer, Klaus Wendt, Patric Ziel
https://arxiv.org/abs/2608.…

Themis Consensus Extension v1: MEV Mitigation by Randomized Delayed Execution and Intent-Hiding Transactions in Application-Specific Blockchains
Shoeb Siddiqui, Mateusz Nowakowski, Stanislav Vozarik, Gleb Urvanov, Peter Kris
https://arxiv.org/abs/2607.21406 https://arxiv.org/pdf/2607.21406 https://arxiv.org/html/2607.21406
arXiv:2607.21406v1 Announce Type: new
Abstract: Maximal extractable value (MEV) arises when privileged participants select, exclude, insert, or reorder pending transactions for private gain. We specify and analyze the Themis Consensus Extension v1, first published by Mangata in 2021. The design separates value extraction by reordering (VER) from value extraction by denial (VED). For VER, block construction and execution occur across consecutive producers: one producer commits a transaction set, and the next derives a publicly verifiable, deterministic, previously un- predictable seed and executes a seed-determined, dependency-preserving permutation. For selective VED, a user may encrypt a transaction for a designated builder and executor. The builder removes an outer layer and commits the opaque inner ciphertext; the executor reveals and executes the plaintext only after commitment. Under selfish but non-colluding validators, an adversary below the underlying consensus fault threshold, secure cryptography, and accountable role performance, the construction limits unilateral post-commit ordering control and hides transaction intent from relays and the builder. It does not provide send-order or receive-order fairness, complete censorship resistance, resistance to builder-executor collusion, or per-transaction price guarantees. We analyze probabilistic extraction, spam, dependent transactions, decryption liveness, session boundaries, total denial, and threshold coalitions. We also document the initial Aura-based Substrate implementation and its subsequent transition to a BABE-based sr25519/VRF seed path, together with delayed execution, Fisher-Yates shuffling, and Xoshiro256 . The result preserves the original proposal while narrowing its claims to explicit assumptions.
toXiv_bot_toot

Mitigating warp divergence in GPU optical photon Monte Carlo: an order of magnitude speedup with Shader Execution Reordering
Gabor Galgoczi
https://arxiv.org/abs/2608.21396 http…

Multi-hour stable trapping and threshold steady state of non-laser-coolable ions with ultracold atoms in a hybrid trap
Satyabrata Baidya, Sourav Dutta
https://arxiv.org/abs/2608.23768

Toward cryptographically verifiable authorization for autonomous AI agents: A security hypothesis, preliminary formal model, and proof-of-concept implementation
M. Llamb\'i-Morillas, D. Fern\'andez-Fern\'andez
https://arxiv.org/abs/2607.21325 https://arxiv.org/pdf/2607.21325 https://arxiv.org/html/2607.21325
arXiv:2607.21325v1 Announce Type: new
Abstract: Autonomous AI agents increasingly execute actions, invoke tools, and operate on protected resources with limited human oversight. Existing authentication and authorization mechanisms establish identity and delegate authority, but do not inherently provide cryptographic evidence that a concrete request issued by a specific agent satisfies the applicable policy in a specific execution context. This paper hypothesizes that agent authorization can be formalized as a cryptographically verifiable relation, denoted $R_{CVA}$, that jointly binds an agent principal, a concrete authorization request, an execution context, and the satisfaction of an applicable policy, while selectively preserving the confidentiality of private authorization attributes. We introduce a preliminary formal abstraction for Cryptographically Verifiable Agent Authorization (CVA), define a compact set of candidate security properties including authorization soundness, principal binding, request binding, policy binding, and replay resistance, and provide an executable zero-knowledge proof of concept that instantiates selected elements of the model over a Groth16 zk-SNARK construction. We further identify and formalize the structural separation among identity binding, authorization-request binding, and runtime execution binding as a central open problem in the design of secure agentic systems (a distinction {not explicitly addressed by} current agentic security frameworks) and present a falsifiable research agenda for its resolution.
toXiv_bot_toot

Cryogenic Mechanical Loss of GaAs/AlGaAs Crystalline Coatings
Nicholas A. Didio, Steven D. Penn, Satoshi Tanioka, Elenna M. Capote, Garrett D. Cole, Stefan W. Ballmer
https://arxiv.org/abs/2608.21394

Replaced article(s) found for cs.CR. https://arxiv.org/list/cs.CR/new
[2/2]:
- PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
Chenlong Yin, Runpeng Geng, Yanting Wang, Jinyuan Jia
https://arxiv.org/abs/2603.13026 https://mastoxiv.page/@arXiv_csLG_bot/116237889578853916
toXiv_bot_toot

[2026-07-24 Fri (UTC), 4 new articles found for physics.atom-ph Atomic Physics]
toXiv_bot_toot

Experimental realization of a rotating radio-frequency ion trap for precision metrology
Sun Yool Park, Anzhou Wang, Kia Boon Ng, Patricia Hector Hernandez, Addison Hartman, Tuan Anh Nguyen, Rohan Kompella, Michail Athanasakis-Kaklamanakis, Jun Ye, Eric A. Cornell
https://arxiv.org/abs/2607.21511

Plasma screening and configuration interaction effects induced large enhancement on L-shell photoionization cross sections and opacity
Fuyang Zhou, Shengbo Niu, Simei Lu, Chuangying Li, Xiang Gao, Yong Wu, Yizhi Qu, Jianguo Wang
https://arxiv.org/abs/2607.21238

Reassessment of line profile asymmetry in measurements of the 1s-2s energy interval in hydrogen
D. Solovyev, A. Anikin, T. Zalialiutdinov, L. Labzowsky
https://arxiv.org/abs/2607.21097

Measurement of the reduced dipole matrix element in Ba$^ $
N. Jayjong, M. D. K. Lee, K. J. Arnold, M. D. Barrett
https://arxiv.org/abs/2607.20920 https://a…