Tootfinder

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

A sample of FBI data allegedly stolen by ShinyHunters includes granular detail on officials' job assignments on China, Russia, cartels, cyber, and other issues (Reuters)
https://www.reuters.com/world/hacked-fbi-data-h…

Professional sample - not for sale.

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…

ShinyHunters claims it used an Oracle PeopleSoft zero-day to hack FBI-related services and steal employee and applicant data; it also defaced the FBI jobs site (Joseph Cox/404 Media)
https://www.404media.co/we-hacked-the-fbi-hackers-say-they-have-da…

‘We Hacked the FBI:’ Hackers Say They Have Data on All FBI Employees
A sample of 5,000 alleged agents seen by 404 Media includes names, addresses, phone numbers, and details on FBI employees' spouses.

Looks like #adform got compromised. It is shipping a malware-laced tracking script that is replacing crypto wallet addresses in the users clipboard. Recommend disabling adform includes in your websites. Sample: #IoC - C2 Address and Port seems to be 84.32.102.230:7744 .
#threatIntel

‘We Hacked the FBI:’ Hackers Say They Have Data on All FBI Employees https://www.404media.co/we-hacked-the-fbi-hackers-say-they-have-data-on-all-fbi-employees/

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

Every cell in your body has the potential to get smarter.
I don’t mean this metaphorically, or in a “body keeps the score” kind of way.
I mean that if lab-coated biologists took a sample of your skin and very carefully manipulated the cells inside it, they could actually make a brain.
They do it all the time.
Mini human brains are being grown in labs all over the world.
Soon, they could outthink neural networks.

AI Is Dead. Organoids Are Alive
Mini human brains are being grown in labs all over the world. Soon, they could outthink neural networks.

Generalization Error Estimation for Primal--Dual Algorithms in Non-Smooth Regression
Kai Tan, Pierre C Bellec
https://arxiv.org/abs/2608.13870 https://arxiv.org/pdf/2608.13870 https://arxiv.org/html/2608.13870
arXiv:2608.13870v1 Announce Type: new
Abstract: This paper studies trajectory-wise estimation of generalization error for primal--dual algorithms in non-smooth regression. Motivating examples include \(\ell_1\)-penalized least absolute deviations regression and square-root Lasso regression, where the data-fitting loss is non-differentiable and existing risk estimators for gradient-type optimization paths do not apply directly. We develop a general recursive framework that includes the Chambolle--Pock algorithm and related primal--dual splitting methods. We estimate risk by correcting each in-sample fitted value with a weighted combination of past dual iterates. The ideal weights are Stein derivative contractions and depend on the design covariance. We construct replacement weights from observable derivative contractions of the fitted-signal trajectory, yielding a covariance-free, data-driven correction. For high-dimensional Gaussian designs and fixed finite iteration horizon, we prove finite-sample guarantees for both estimators. For square-root ridge, we further establish a matched-Gaussian universality result beyond Gaussian designs. Numerical experiments show that the proposed estimators accurately track the out-of-sample risk along finite optimization paths.
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Aretha Franklin:
🎵 Ain’t No Way
#ArethaFranklin
https://ericnoir.bandcamp.com/track/aint-no-way-aretha-franklin-sample
https://open.spotify.com/track/4lxMHQSmOQilVxV526Kvqd

Found and fixed a bug that could cause the MockOscilloscope driver in ngscopeclient to report bogus sample rates and memory depths when working with offline sessions. Unfortunately the bad state is persistent if you save a session when it happens, and it had been lurking for quite a long time.
There's no permanent data loss, since if you have waveform data in the session you can figure out the actual sample rate and memory depth from the channel metadata, but you need to manually p…

Comparing certificate information files between a v7 and a v8 sample yields a difference in this extra hash (I think that's what it is), for every cert.

Is that an #accordion sample? 🪗
#ListeningClub

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

#totp Great baseline though. Where did they sample it from?

Been thinking about debuggers for my rule engine langue, here's a sample rule - 2 sets of somewhat complex logic. Lots of scope for error, typos, things just not having the value you expect etc.
So added a tracing evaluator that shows the AST walk, outcomes, timings etc.
Be better on the web, so the dashboard will make this really awesome along with a rule editor.

Gutierrez: Fernando Mendoza delivers in his debut; the bigger test awaits https://www.raiders.com/news/fernando-mendoza-debut-preseason-2026-vs-arizona-cardinals

That feeling when your renderer can handle a component that outputs HTML inside link text in Markdown that’s embedded in HTML.
(Yes, I’m bragging.)
#Kitten #SmallWeb #SmallTech

Somebody told DeepSeek to build in-browser ransomware and it gleefully complied
https://www.theregister.com/security/2026/07/01/somebody-told-deepseek-to-build-in-browser-ransomware-and-it-gleefully-compli…

Somebody told DeepSeek to build in-browser ransomware and it gleefully complied
The original incomplete DeepSeek sample can be transformed into a fully functional attack with minimal effort,' Check Point researcher tells The Reg

Replaced article(s) found for q-fin.TR. https://arxiv.org/list/q-fin.TR/new
[1/1]:
- Asymptotic and finite-sample distributions of one- and two-sample empirical relative entropy
Matthieu Garcin, Louis Perot
https://arxiv.org/abs/2512.16411 https://mastoxiv.page/@arXiv_statME_bot/115745600813668734
toXiv_bot_toot

Visual form matching supports arithmetic across visual and auditory modalities https://link.springer.com/article/10.1007/s00426-026-02362-x

Visual form matching supports arithmetic across visual and auditory modalities - Psychological Research
Arithmetic computation is ubiquitous in daily life and occurs in both visual and auditory modalities. Visual form matching, as a key visual perceptual ability, serves as an important cognitive basis for arithmetic ability, but its role in auditory arithmetic tasks remains unclear. The primary aim of this study was to examine whether the association between visual form matching and arithmetic processing is influenced by the presentation modality. A sample of 241 undergraduates from China (109 ma…

Al, like humans, is subject to confirmation bias. Try to use neutral wording for filenames and output. For instance, "sample" instead of "malware" in filenames. Or
"notable-import" instead of "suspicious-import" "Teaching Al to Analyze Malware: How to Encode Practitioner Expertise into an MCP Server" by Lenny Zeltser at #blueteamcon (6/n)

Listening to NPRATC, a Frank Langfitt story about the “Charney Sibs” who are *dozens* of biological children of a single fertility doctor.
Many of them are doctors. Multiple OB-GYNs & at least one urologist, Also, many accomplished academics.
It really makes me wonder about the nature of heredity. These people didn’t grow up in a random sample of households, they grew up with parents who could afford the best fertility doctor in Philly. So this isn’t evidence really. It jus…

Weiss einer von euch, womit dieser Film gemacht wurde ?
#animation

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

Two kinds of robustness are not the same: disentangling fault tolerance and low-SNR robustness in multi-domain event detection on real data
Isao Kurosawa
https://arxiv.org/abs/2606.29339 https://arxiv.org/pdf/2606.29339 https://arxiv.org/html/2606.29339
arXiv:2606.29339v1 Announce Type: new
Abstract: Reliable event detection underpins induced-seismicity monitoring for Carbon dioxide Capture and Storage (CCS) and geothermal operations, distributed acoustic sensing (DAS), and industrial condition monitoring. In each setting a detector must stay reliable both when sensors fail and when the signal is buried in noise. These two failure modes are routinely conflated, and architectural complexity is often credited with robustness it may not deserve. We assemble a unified binary event-detection benchmark from three physically distinct real sources -- Hi-net seismic waveforms, Utah FORGE 2024 borehole DAS, and MAFAULDA industrial vibration -- each mapped to a common 8-channel, 256-sample representation, and evaluate a fault-tolerant detector (CEPHALON) trained with per-sample sensor-dropout against standard detectors (a 1D convolutional network, a temporal convolutional network, and a compact Transformer) trained with an identical recipe. On clean data every model is near-perfect (AUC ~ 0.99). Under progressive sensor loss, simple models with sensor-dropout are already robust and CEPHALON holds no advantage. Under additive noise, however, CEPHALON degrades far more gracefully: at -2.5 dB its overall AUC is 0.939 versus 0.532-0.572 for the convolutional baselines. Same-architecture ablations isolate the cause: disabling internal redundancy at inference reduces the low-SNR advantage only modestly, whereas removing sensor-dropout training collapses it (0.899 to 0.603 at -5 dB). The training recipe is therefore the dominant cause and parallel redundancy only secondary. We release a complete, numbered, reproducible pipeline so that every figure can be regenerated.
toXiv_bot_toot

Gutierrez: Fernando Mendoza delivers in his debut; the bigger test awaits https://www.raiders.com/news/fernando-mendoza-debut-preseason-2026-vs-arizona-cardinals

Star formation powers optical line emission from the CGM
Huanian Zhang, Lizhi Xie, Zhijie Qu, Dennis Zaritsky, Luis C. Ho, Min Bao, Fabio Fontanot, Michaela Hirschmann, Chenxu Liu, Gabriella De Lucia, Enci Wang, Haoyan Zheng
https://arxiv.org/abs/2607.18385 https://arxiv.org/pdf/2607.18385 https://arxiv.org/html/2607.18385
arXiv:2607.18385v1 Announce Type: new
Abstract: Using integral field spectroscopy, we explore the disk-halo interface, or the inner circumgalactic medium (CGM), of individual galaxies by constructing and analyzing emission-line maps for a large sample (72) of normal, low-redshift galaxies spanning three orders of magnitude in stellar mass and four orders in star formation rate (SFR). We find a steep turnover occurring at $(1-2) R_e$ in the H$\alpha$, [O {\small II}], and [O {\small III}] line emission radial profiles. Beyond this radius, the slope of the line emission radial profiles becomes shallower as the SFR of the central galaxy decreases, which might reflect the strength of the feedback processes. The line emission fluxes at large radius ($(5-10) R_e$ or $\sim (0.1-0.25)r_{\rm vir}$) correlate with the galaxy's SFR, but not with its stellar mass. These findings suggest that ionizing photons escaping from star-forming regions in the central galaxy account for the observed emission line fluxes from the inner CGM, with escape fractions inferred from the [O {\small III}] and [O {\small II}] ratio. Different state-of-the-art theoretical models do not agree on the predicted dependence of cool gas on the SFR of the central galaxies, highlighting the importance of CGM emission line measurements to distinguish between different subgrid models for star formation and feedback processes.
toXiv_bot_toot

ngscopeclient now has a newly unbitrotted RGMII protocol decode!
We had this years ago in scopeclient but it used the old inefficient (std::vector<bool> at each sample) parallel bus data model and was commented out for ngscopeclient until we could come up with a better data model.
Now it's back, in time for v0.2.
I also had to un-bitrot this session file: it was an ancient (June 2020) dataset that predated the modern multi-instrument data model in ngscopeclient.…

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

Interestingly, my sample file system for the Intel ME (v8.x) contains more certificates than what Intel documents.
Among those is, for example, Entrust:
https://ssl-tools.net/subjects/2c4aa669590b963b11d4f6901d6beecb7fa576d0
It's running out …

Sharp Minimax Theory for Randomized Experiments
Timothy Sudijono, Edgar Dobriban, Eric Tchetgen Tchetgen
https://arxiv.org/abs/2608.13822 https://arxiv.org/pdf/2608.13822 https://arxiv.org/html/2608.13822
arXiv:2608.13822v1 Announce Type: new
Abstract: We study minimax-optimal designs and estimators for estimating the sample average treatment effect in finite population randomized experiments, where both design and estimator are unrestricted. For binary potential outcomes, we show this minimax risk is equivalent to the minimax risk $\rho_n^*$ of an estimation problem with $2$ unknown parameters. We leverage this reduction to establish a second-order risk expansion $\rho_n^* = n^{-1} - Cn^{-4/3} o_n(n^{-4/3})$ for an explicit constant $C$ related to the Airy function. The minimax risk is attained by Bernoulli randomization with a nonlinear shrinkage estimator. Our results show that standard procedures such as complete randomization with difference in means are only minimax optimal up to first order in $n.$ We derive further results on admissibility of these procedures and discuss the practical implications of our results.
toXiv_bot_toot

Three gaps for out of the box AI. AI knows the common tools, but the long tail of specialized ones takes practitioner expertise. AI states strong findings and weak guesses in the same confident voice. AI is non-deterministic, so two runs on the same sample can diverge. "Teaching Al to Analyze Malware: How to Encode Practitioner Expertise into an MCP Server" by Lenny Zeltser at #blueteamcon (4/n)

Hyperspectral Calibration Detection: A Novel Concept For Change Detection With Unsupervised Incremental Safe Pseudo-Labeling Implementation
Chia-Hsiang Lin, Shih-Min Hsu, Ching-Yun Liang, Jocelyn Chanussot, Jhih-Yan Chen
https://arxiv.org/abs/2608.06028 https://arxiv.org/pdf/2608.06028 https://arxiv.org/html/2608.06028
arXiv:2608.06028v1 Announce Type: new
Abstract: Hyperspectral change detection (HCD) has found numerous key applications, such as land cover monitoring. The majority of benchmark HCD algorithms are semi-supervised methods, and some of them can even achieve very low sample labeling rates. However, in some practical scenarios, such as those requiring immediate detection responses for onboard edge computing, we need to achieve the zero-label requirement as ground-truth labeling would not be available onboard for newly acquired images. In this work, we propose a fully unsupervised HCD algorithm, together with a lightweight model, quite suitable for onboard detection missions. Based on an iteratively augmented training set that safely collects some unchanged pixel samples, we learn an iteratively refined spectrum calibration function that eventually compensates the variability of acquisition conditions (often observed in bitemporal images), thereby making the changed pixels easily detectable by analyzing the calibrated spectra. The proposed hyperspectral looping unsupervised calibration and incremental detection (HyperLUCID) algorithm is not only computationally efficient (around 1 to 2 orders of magnitude faster than most benchmark HCD methods), but has also achieved state-of-the-art results (around 93.6% to 97.9% overall accuracy) on several real benchmark HCD datasets. Source codes: https://github.com/IHCLab/HyperLUCID.
toXiv_bot_toot

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Geoff Barrow and Adrian Utley of Portishead:
🎵 Talking about the sample used in the song Biscuit
#GeoffBarrowandAdrianUtleyofPortishead

RE: https://mastodon.social/@h4ckernews/116938117605014689
So many ignorant and arrogant comments on this HN post, it's a miracle science and humans have progressed this far. 😒
FWIW, I tried this Devanagari sample and the result is quite good, esp. intonation.
चन्द्रविभूषण चन्द्रपुरोगैर्वन्द्यपदांबुरुहं पवमानं ।
आनंदतीर्थ महामुनिराजं गोविंदभक्त शिखामणिमीडे ॥

🇺🇦 #NowPlaying on #BBC6Music's #TheBethDittoShow
Bobby Womack:
🎵 If You Think You're Lonely Now
#BobbyWomack
https://catfood88.bandcamp.com/track/bobby-womack-if-you-think-youre-lonely-now-high-pitch-sample-chop-remix
https://open.spotify.com/track/6BSHpKBd2pc3A9WQfRWzyM

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds
Qian Serena Hou, Zecheng Gan
https://arxiv.org/abs/2607.00750 https://arxiv.org/pdf/2607.00750 https://arxiv.org/html/2607.00750
arXiv:2607.00750v1 Announce Type: new
Abstract: We propose the Long-Short-Range Neural Network (LSR-Net), an extensible operator-learning framework for predicting pattern dynamics on planar domains, spherical surfaces, and general manifolds. The method decomposes the forward evolution operator into a long-range component, represented by a compact Fourier multiplier constructed via the Sum-of-Exponentials (SOE) approximation, and a short-range component adapted to the underlying geometry and its intrinsic symmetries. For general manifolds represented by irregularly sampled point clouds, the long-range component is implemented by Gaussian gridding onto an auxiliary regular grid, where the Fourier multiplier is efficiently applied in k-space using FFT and the result is interpolated back to the original sample points. We evaluate LSR-Net on several benchmark systems, including the Allen-Cahn, Cahn-Hilliard, Schnakenberg, and Turing systems, over planar domains, spherical surfaces, and a blob-shaped manifold. Numerical results demonstrate that LSR-Net consistently achieves higher accuracy and improved stability compared with baseline operator-learning models. In particular, for Allen-Cahn dynamics on the sphere, the RMSE is reduced by approximately three orders of magnitude compared with the Spherical Fourier Neural Operator (SFNO). Rotation and reflection equivariance tests further confirm that the learned operator is consistent with these geometric transformations. These results indicate that LSR-Net provides an effective and robust approach for learning pattern dynamics on complex geometries.
toXiv_bot_toot

HenTwin: A Multimodal Digital Twin Framework for Longitudinal Biological State Monitoring in Laying Hens
Yashan Dhaliwal, Shreya Rao, Suresh Neethirajan
https://arxiv.org/abs/2607.28652 https://arxiv.org/pdf/2607.28652 https://arxiv.org/html/2607.28652
arXiv:2607.28652v1 Announce Type: new
Abstract: Early-life monitoring in laying hens remains constrained by fragmented single-modality sensing and the absence of formal system-level state representations. HenTwin, a multimodal digital twin framework implemented as a five-layer IoT architecture, formalizes flock-level multimodal biological state dynamics from hatch through 25 weeks of age. A four-dimensional biological state vector integrating body surface temperature, acoustic energy entropy, band energy ratio, and optical-flow-based motion is defined, with the temperature-humidity index treated as an exogenous environmental input to preserve intervention capability. A discrete-time state transition model is estimated from 25 weeks of longitudinal multimodal data collected from 150 Lohmann LSL-Lite hens across five controlled rooms at the Atlantic Poultry Research Centre, Dalhousie University. The estimated transition matrix exhibits modality-specific persistence while remaining asymptotically stable. Perturbation analysis demonstrates that a sustained 2.0 THI increase produces a stable long-run acoustic entropy elevation of 0.54 nats, approximately one-quarter of the entire 1.87-nat developmental decline observed across the study period. Pettitt change-point detection identifies coordinated multimodal developmental state transitions at Weeks 12-14. Cross-room validation suggests that structural transition parameters are partially transferable across rooms, whereas environmental input sensitivity requires room-specific calibration, supporting a two-tier IoT deployment architecture. Leave-one-out cross-validation demonstrates consistent out-of-sample model performance. HenTwin takes a first step toward formal, state-aware digital twin inference in precision livestock farming.
toXiv_bot_toot

Vz-GAL Dusty Star-Forming Galaxies: Revisiting the CO-H2 Conversion Factor Tension
Prachi Prajapati, Axel Weiss, Dominik Riechers, Tom J. L. C. Bakx, Leindert A. Boogaard, Diana Ismail, Pierre Cox, Andrew J. Baker, Roberto Neri, Matthew Lehnert, Chentao Yang, Emilio Romano-Diaz, Hiddo S. B. Algera, Stefano Berta, Edoardo Borsato, Kirsty M. Butler, Asantha Cooray, Bethany Jones, Amelie Saintonge, Paul van der Werf
https://arxiv.org/abs/2607.18440 https://arxiv.org/pdf/2607.18440 https://arxiv.org/html/2607.18440
arXiv:2607.18440v1 Announce Type: new
Abstract: The CO luminosity-to-H$_2$ mass conversion factor ($\alpha_{CO}$) remains a debated uncertainty in determining molecular gas masses of high-redshift dusty star-forming galaxies (DSFGs). Dynamical mass constraints have often favored $\alpha_{CO}=0.8$~$M_{\odot}~{(K~km~{s}^{-1}~{pc}^{2})}^{-1}$, whereas dust- and radiative-transfer-based methods imply higher values. We revisit this ``tension" using the largest homogeneous sample of 21 unlensed $z\sim1-4$ DSFGs, with securely measured \coonezero luminosities from the VLA \vzgal survey and resolved ($\sim{0.1}^{\prime\prime}$) ALMA 1~mm dust continuum imaging. For 12 galaxies with robust modeling constraints, we derive molecular gas masses using dust spectral energy distribution modeling and the TUNER LVG framework, adopting a solar-metallicity gas-to-dust mass ratio of 100. Although not fully independent due to shared assumptions on dust properties, these approaches yield mutually consistent gas masses corresponding to $\alpha_{CO}\sim1.5-11.5$, with a median near the Galactic $\alpha_{CO}=4.3$. Isotropic virial dynamical masses agree with these gas masses when realistic molecular gas sizes are adopted, while our proposed ``mixed" (rotating, pressure-supported, thick-disk) estimator systematically underestimates dynamical masses, producing low $\alpha_{CO}$ limits. Using GN20 ($z=4.055$) as a case study, we show that resolved gas geometry and kinematics reconcile the discrepancy with LVG-derived $\alpha_{CO}$. Our results suggest that current data do not require $\alpha_{CO}=0.8$, and intermediate to near-Galactic values remain dynamically viable given uncertainties in gas geometry, dust properties, and gas-to-dust ratios. Further progress in calibrating $\alpha_{CO}$ in the early universe will require resolved molecular gas observations, physically motivated ISM modeling, and stringent constraints on dust properties.
toXiv_bot_toot

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

Help me break a thing to make it better!
New #fediverse #activitypub #selfhosted #software time!
? do you like making …

Late entry for #fungifriday - this jelly fungus was showing off its fall colors - another lovely sample from the #bwca. (guessing it's an orange jelly, but don't take my ids as gospel)

@… Not a #Recall but maybe should be?
They found arsenic in *every sample*
https://www.foodandwine.com/arsenic-levels-in-rice-consumer-reports-analysis-2026-12013714

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Joe Cocker:
🎵 Woman to Woman
#JoeCocker
https://zackdaniels.bandcamp.com/track/tupac-vs-joe-cocker-woman-to-california-love-zack-daniels-og-sample-segway
https://open.spotify.com/track/0MwwLooObZFoknC6PTLGof

How Organizations Use AI: Evidence from ChatGPT
Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga
https://arxiv.org/abs/2608.12236 https://arxiv.org/pdf/2608.12236 https://arxiv.org/html/2608.12236
arXiv:2608.12236v1 Announce Type: new
Abstract: We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterprise AI adoption and use. First, ChatGPT Enterprise usage has grown rapidly due to a combination of new firm adoption and growing intensity among existing adopters. Second, U.S.-based public company adoption is concentrated among larger, more valuable, and more R&amp;D- and SG&amp;A-intensive firms. Third, active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers. Fourth, ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks, including writing, technical work, communication, and information synthesis. In aggregate, these results suggest that firms differ widely in the speed, breadth and purpose of their enterprise AI adoption, and that they are still actively learning how to integrate AI into organizational workflows.
toXiv_bot_toot

An (in)complete NIRSpec census of Balmer absorption in Type 1 AGN -- radiation-driven outflows in little red dots, quasars and variable stars
Ignas Juod\v{z}balis, Xihan Ji, Francesco D'Eugenio, Jan Scholtz, Roberto Maiolino, Amanda Stoffers, Alessandro Marconi, Elena Bertola, Andrew J. Bunker, Stefano Carniani, Giovanni Cresci, Emma Curtis-Lake, Zheng Ma, Cosimo Marconcini, Eleonora Parlanti, Pierluigi Rinaldi, Brant Robertson, Hannah \"Ubler, Giacomo Venturi, Junyu Zhang
https://arxiv.org/abs/2607.19057 https://arxiv.org/pdf/2607.19057 https://arxiv.org/html/2607.19057
arXiv:2607.19057v1 Announce Type: new
Abstract: A notable achievement of the first generation of JWST surveys was the discovery of an abundance of faint high-redshift ($z > 4$) broad-line active galactic nuclei (AGN) in the $L_{\rm bol} < 10^{45}$~erg~s$^{-1}$ regime, previously only accessible at $z < 1$. The high prevalence of absorption features in their broad hydrogen lines is one of the peculiarities of a significant fraction of this new population. In this paper, we conduct a broad census of Balmer absorption in a sample of 47 Type-1 AGN spanning $2 < z < 7$. Accounting for incompleteness of JWST spectroscopic data, we estimate that $44_{-6}^{ 21}$~\% of Little Red Dots (LRDs) have absorption in \Has while the incidence rate is $< 25$~\% (at 2$\sigma$) in Little Blue Dots (LBDs). Additionally, R1000 JWST/NIRSpec data is strongly resolution limited, implying an inability to disentangle Doppler broadening in the absorption from optical depth effects. This is alleviated with R2700 observations, although some degeneracies remain. We find a significant correlation between the velocity of the Balmer absorption and the [OIII]5007 narrow line luminosity, suggesting a common driving mechanism. We do not find any other significant correlations (and do not confirm previously claimed correlations) between Balmer absorption and other spectral properties of LRDs (except for the expected correlation between \Has and \Hbs absorption velocities). Comparing LRDs, quasars and stellar \Has absorbers, we establish that absorption in both LRDs and broad absorption line quasars is consistent with radiatively driven outflows, echoing the physics of variable stars yet occurring at vastly different scales.
toXiv_bot_toot

Crosslisted article(s) found for math.ST. https://arxiv.org/list/math.ST/new
[1/1]:
- Graphical Models for Multivariate Count Data
Iza Danielewska, Bartosz Ko{\l}odziejek
https://arxiv.org/abs/2608.11366 https://mastoxiv.page/@arXiv_statME_bot/117087137518300934
- Semiparametric efficient estimation of the Cox regression coefficient when there can be ties
Benjamin R Baer
https://arxiv.org/abs/2608.11399 https://mastoxiv.page/@arXiv_statME_bot/117087137911796087
- Kernel Methods for Learning Operators with Multiple Inputs and Outputs
Adrien Weihs, Chunyang Liao, Jingmin Sun, Hayden Schaeffer
https://arxiv.org/abs/2608.11831 https://mastoxiv.page/@arXiv_csLG_bot/117087254700651171
- Efficient Response-Adaptive Randomization for Multi-arm Trials with Prioritized Composite Endpoints
Ayon Mukherjee
https://arxiv.org/abs/2608.11953 https://mastoxiv.page/@arXiv_statME_bot/117087188083583909
- Deviation inequalities for U-processes of growing order, with applications to half-space depth
Stanislav Minsker, Shunan Yao
https://arxiv.org/abs/2608.12056 https://mastoxiv.page/@arXiv_mathPR_bot/117087117268165539
- Sharp Berry-Esseen Bounds for the Log Determinant of a Gaussian Sample Correlation Matrix
Hongru Zhao
https://arxiv.org/abs/2608.12242 https://mastoxiv.page/@arXiv_mathPR_bot/117087153642598120
- A contiguity approach to replica symmetric marginals
Ernesto Mordecki, Anas A. Rahman, Manuel S\'aenz
https://arxiv.org/abs/2608.12309 https://mastoxiv.page/@arXiv_mathph_bot/117087180577891013
toXiv_bot_toot

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

If you grab the appalling sample videos, VLC can play them.

From Continuous Dynamics to Practical Gradient-Based Samplers
James Chok
https://arxiv.org/abs/2608.05425 https://arxiv.org/pdf/2608.05425 https://arxiv.org/html/2608.05425
arXiv:2608.05425v1 Announce Type: new
Abstract: Gradient-based Markov chain Monte Carlo methods are often introduced as a catalog of algorithms: Hamiltonian Monte Carlo (HMC), the Metropolis-adjusted Langevin algorithm (MALA), the No-U-Turn Sampler (NUTS), and several underdamped variants. This presentation obscures the common structure of the methods and, more importantly, the reasons why a sampler that is correct in principle may be ineffective in practice. We develop a unified account, beginning with exact continuous-time dynamics that represent idealized sampling methods and for which Metropolis adjustments are not required. Numerical discretization makes the dynamics computationally feasible but introduces bias. Metropolis adjustment removes the asymptotic bias by converting numerical errors into rejection, leading to HMC, MALA, NUTS, and the Metropolis-adjusted kinetic Langevin algorithm (MAKLA).
The second half of the paper presents geometric design choices that determine practical performance, namely, although MAKLA and NUTS have nice theoretical properties, their sampling efficiency may be slow in practice. Importantly, a fixed mass matrix can whiten globally anisotropic targets, often fixing sampling inefficiency in Bayesian posteriors with large data. Whereas hierarchical posteriors introduce their own problem, causing state-dependent variation in the Hessian (e.g., Neal's funnel). We explain how a randomized step size can be used effectively to sample from such a distribution. The resulting paper is both a tutorial on the mechanics of gradient-based sampling and a set of practical recipes to improve sampler performance.
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The fading hierarchy of Galactic open clusters
Guimei Liu, Jo\~ao Alves, Yu Zhang, Emily L. Hunt, Ruqiu Lin, Josefa E. Gro{\ss}schedl, Efrem Maconi, Nora Wagner, Lilly Kormann, Cameren Swiggum
https://arxiv.org/abs/2609.09122 https://arxiv.org/pdf/2609.09122 https://arxiv.org/html/2609.09122
arXiv:2609.09122v1 Announce Type: new
Abstract: Galactic open clusters provide a record of both hierarchical star formation and the subsequent dynamical evolution of the Milky Way disk. We use the two-point correlation function to characterize the spatial and kinematic clustering of open clusters in the solar neighborhood, considering their three-dimensional (3D) distributions and their projections onto the Galactic plane, as well as subsamples divided by age, mass, and survey volume. We quantify the clustering through fractal dimensions and characteristic correlation scales. We find that the youngest clusters have fractal dimensions comparable to those measured in the interstellar medium, suggesting that they retain part of the hierarchical structure of their natal molecular clouds. The clustering strength then decreases systematically with age and becomes weak on a characteristic timescale of order 100 Myr. This evolution is scale dependent: the excess correlation at tens of parsecs fades more rapidly than the weaker correlation at hundreds of parsecs. By contrast, we find only a weak dependence of the clustering properties on cluster mass and volume. Using the same cluster sample, we derive an empirical mapping between projected and 3D fractal dimensions, providing an observational calibration for comparing the Milky Way with studies of external galaxies, where only projected measurements are available. The open-cluster population exhibits characteristic spatial and kinematic clustering scales of approximately 370 pc and 11 km/s, respectively. These results support a picture in which young open clusters inherit a spatial hierarchy from star formation and progressively lose their spatial correlations through subsequent evolution.
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Is that an #accordion sample? 🪗
#ListeningClub

🇺🇦 #NowPlaying on #BBC6Music's #6MusicsRaveForever
X-Sample:
🎵 Dreamin' in Buristead Road (Eclipse Mix)
#XSample
https://clubbingtraxx.bandcamp.com/track/10-x-sample-dreamin-in-buristead-road-jazzy-attitude-mix
https://open.spotify.com/track/2V6ejScX5IrPLw5LgXt1Hu

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

Price Responses of Rwandan Tungsten Exports under Conflict Minerals Regulation
Haruka Nagamori, Kazuhiko Nishimura
https://arxiv.org/abs/2608.08690 https://arxiv.org/pdf/2608.08690 https://arxiv.org/html/2608.08690
arXiv:2608.08690v1 Announce Type: new
Abstract: Section 1502 of the Dodd--Frank Act, enacted in 2010, requires U.S.-listed companies using tin, tantalum, tungsten, and gold (3TG) from the Democratic Republic of the Congo and adjoining countries to disclose information on the minerals' origins. Concerns have been raised that the regulation may have induced a de facto embargo through avoidance of sourcing from the covered region. However, how the price responsiveness of mineral exports evolved under changing institutional and market conditions remains insufficiently understood. Since tungsten production in the covered region is concentrated almost entirely in Rwanda, this study examines the price responsiveness of Rwandan tungsten exports from January 2009 to December 2023.
Because missing export quantity data prevent continuous observation of export unit values, we apply the identification approach of Nakano and Nishimura (2025), combining monthly mirror trade data from UN Comtrade with exchange rates and a world average price. An importer fixed-effects model is estimated using export value as the dependent variable, with the sample divided into four periods according to changes in the institutional and market environment.
The results reveal substantial temporal variation in price responsiveness. A statistically significant negative price response is observed in Period 1 ($\eta=-20.814$, $p<0.01$), disappears in Period 2 ($\eta=1.814$, $p>0.10$), reappears in Period 3 ($\eta=-5.277$, $p<0.01$), and disappears again in Period 4 ($\eta=0.440$, $p>0.10$). Coefficient-difference tests confirm significant changes between Periods 1 and 2 ($p=0.0021$) and between Periods 3 and 4 ($p=0.0006$). These findings suggest that the price responsiveness of Rwandan tungsten exports varied substantially over time rather than following a uniform trajectory after the regulation.
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Euclid: Quick Data Release (Q1) -- Exploring the detailed visual morphology of galaxies in clusters
Mas-Buitrago, Kruk, O'Ryan, Nardone, La Marca, Awad, Baes, Fossati, G\'eron, Ghaffari, Girardi, Lintott, Sorce, Altieri, Durret, Pettorino, Irureta-Goyena, Simmons, Reerink, S\'anchez, Knapen, Shankar, Duran-Camacho, P\'erez-Mart\'inez, Walmsley, Auricchio, Baccigalupi, Baldi, Bardelli, Battaglia, Biviano, Bolzonella, Bonchi, Branchini, Brescia, Brinchmann, Camera, Ca\~nas-Herrera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Cimatti, Colodro-Conde, Congedo, Conselice, Conversi, Copin, Costille, Courbin, Courtois, Cropper, Degaudenzi, De Lucia, Dole, Dubath, Dupac, Dusini, Ealet, Fabricius, Farina, Farinelli, Ferriol, Fosalba, Fotopoulou, Frailis, Franceschi, Fumana, Galeotta, George, Gillis, Giocoli, G\'omez-Alvarez, Gracia-Carpio, Grazian, Grupp, Gwyn, Holmes, Hook, Hormuth, Hornstrup, Huertas-Company, Jahnke, Jhabvala, Joachimi, Kermiche, Kiessling, Kubik, K\"ummel, Kunz, Kurki-Suonio, Le Brun, Ligori, Lilje, Lindholm, Lloro, Mainetti, Mansutti, Marggraf, Martinelli, Martinet, Marulli, Massey, Maurogordato, Medinaceli, Melchior, Meneghetti, Merlin, Meylan, Mora, Moresco, Moscardini, Munari, Neissner, Niemi, Nightingale, Padilla, Paltani, Pasian, Pedersen, Percival, Pezzotta, Pires, Polenta, Poncet, Popa, Pozzetti, Raison, Renzi, Rhodes, Riccio, Romelli, Roncarelli, Rusholme, Saglia, Sakr, S\'anchez, Sapone, Sartoris, Schneider, Schrabback, Scodeggio, Secroun, Sihvola, Simon, Sirignano, Sirri, Tallada-Cresp\'{i}, Taylor, Teplitz, Tereno, Tessore, Toft, Toledo-Moreo, Torradeflot, Tutusaus, Valiviita, Vassallo, Kleijn, Veropalumbo, Wang, Weller, Zacchei, Zamorani, Zerbi, Zucca, Macias-Perez, Sereno
https://arxiv.org/abs/2609.08962 https://arxiv.org/pdf/2609.08962 https://arxiv.org/html/2609.08962
arXiv:2609.08962v1 Announce Type: new
Abstract: Galaxy clusters provide unique laboratories for studying environmental effects on galaxy evolution. The morphology--density ($T$--$\Sigma$) and morphology--cluster-centric radius ($T$--$R$) relations trace how galaxy morphology is influenced by the environment, but previous studies at intermediate redshifts have been limited in both sample size and radial coverage. We use the Euclid Quick Data Release 1 (Q1) visual morphology catalogue to measure the $T$--$\Sigma$ and $T$--$R$ relations for smooth, featured-or-disc, and barred galaxies in known clusters at $0.2\leq z\leq 0.5$, extending this analysis to large cluster-centric distances ($3 R_{500c}$) and studying their dependence on stellar mass. Using photometric redshifts and stellar masses provided by Euclid, we identify 1754 cluster members within $1.5 R_{500c}$, distributed across 71 clusters. We classify the identified galaxies as smooth, featured-or-disc, or barred using the predicted vote fractions provided by the Zoobot deep learning foundation model in the Q1 visual morphology catalogue. We confirm the $T$--$\Sigma$ relation in all the stellar mass ranges studied, with a stronger influence of the cluster environment on galaxy morphology in the densest parts of the cluster and closer to the cluster centre. Beyond $1.5 R_{500c}$, the morphological segregation weakens, with featured-or-disc galaxies overtaking smooth galaxies at the lowest densities, consistent with the growing contribution of field interlopers in the cluster outskirts. For barred galaxies, we find a tentative decline of the bar fraction toward lower densities that is most pronounced for the most massive galaxies. In conclusion, our results show that the cluster environment drives a progressive transformation of galaxy morphology, with the loss of disc structure becoming more pronounced towards the cluster core, where environmental processes act most efficiently.
toXiv_bot_toot

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…

twitter: Twitter followers (2010)
A directed network of following relationships from Twitter, from a snowball sample crawl across "quality" users in 2009. A directed edge (i, j) indicates that user i follows user j.
This network has 465017 nodes and 834797 edges.
Tags: Social, Online, Unweighted
https://network…