Tootfinder

Looking at a pollen sample from outside (just a piece of double sided tape pressed against the roof of the car to see what had stuck).
This isn't necessarily a representative sample of what's in the air, I could do a more scientific test by leaving a piece of tape out for a while to see what settles out, but I just wanted something to show my daughter what pollen looked like.
Can anybody ID any of these? We have alder, willow, maple, poplar, and various evergreens in clos…

Ok, this is cool. You use Coqui to clone a voice from a 30 sec sample, use Qwen to call people via Google Voice using the cloned voice, and demand gift cards.
#AI #Deepfakes

No they want your DNA to track you.
Folks, have you seen GATTACA?
▶️ U.S. lawmakers demand answers after Canadian man says border officers made him give DNA sample | CBC News
https://www.cbc.ca/news/canada/windsor/us-bord…

U.S. lawmakers demand answers after Canadian man says border officers made him give DNA sample | CBC News
American lawmakers are demanding answers from the Trump administration after a Canadian man says U.S. customs officers held him for three hours and forced him to provide a DNA sample before sending him home.

Another evening, another few filters getting OOM speedups.
Tonight it was invert (27.3x, trivial memory bound shader that just outputs negative x[i] for each output sample) and the 8B/10B decode (didn't even bother to GPU it, just removing the redundant sampling operation by using the new CDR recovered-data output was enough for a 12.1x speedup and 6ms on my 50M point benchmark is fast enough I'm in no hurry to GPU... but at faster data rates with lower oversampling factors it …

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…

Back on the SEM-EDS for a class exercise in measuring chemical composition of "unknowns"

Nå spiller de f*-meg Anita Skorgan og Georg Keller på NRK mP3. " Æ syns den hær va dritkul".
OK.
Det var et sample, riktignok . HŸrtes mer ut som en remix.

Just saw my first #MLB ball/strike challenge. Seems to work as intended. On a sample size of 1, I approve.

Bodenproben vom Roten Planeten: „Mars Sample Return“ bei der NASA vor dem Aus
In einem komplizierten Manöver wollten die NASA und die ESA Bodenproben vom Mars zur Erde bringen. Daraus wird aber nichts, die USA drehen den Geldhahn zu.

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/5]:
- Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Ru Wang, Wei Huang, Selena Song, Haoyu Zhang, Qian Niu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo
https://arxiv.org/abs/2502.18273 https://mastoxiv.page/@arXiv_csCL_bot/114069031700102129
- Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech
Anja Ryser, Yingqiang Gao, Sarah Ebling
https://arxiv.org/abs/2504.00780 https://mastoxiv.page/@arXiv_csCL_bot/114267149909002069
- Cultural Biases of Large Language Models and Humans in Historical Interpretation
Fabio Celli, Georgios Spathulas
https://arxiv.org/abs/2504.02572 https://mastoxiv.page/@arXiv_csCL_bot/114278467094094490
- BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text
Jiageng Wu, et al.
https://arxiv.org/abs/2504.19467 https://mastoxiv.page/@arXiv_csCL_bot/114420036189999973
- Understanding the Anchoring Effect of LLM with Synthetic Data: Existence, Mechanism, and Potentia...
Yiming Huang, Biquan Bie, Zuqiu Na, Weilin Ruan, Songxin Lei, Yutao Yue, Xinlei He
https://arxiv.org/abs/2505.15392 https://mastoxiv.page/@arXiv_csCL_bot/114550277171100272
- Just as Humans Need Vaccines, So Do Models: Model Immunization to Combat Falsehoods
Raza, Qureshi, Farooq, Lotif, Chadha, Pandya, Emmanouilidis
https://arxiv.org/abs/2505.17870 https://mastoxiv.page/@arXiv_csCL_bot/114572956853819813
- LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Fu, Jiang, Hong, Li, Guo, Yang, Chen, Zhang
https://arxiv.org/abs/2506.14493 https://mastoxiv.page/@arXiv_csCL_bot/114703502552989170
- GHTM: A Graph-based Hybrid Topic Modeling Approach with a Benchmark Dataset for the Low-Resource ...
Farhana Haque, Md. Abdur Rahman, Sumon Ahmed
https://arxiv.org/abs/2508.00605 https://mastoxiv.page/@arXiv_csCL_bot/114969875643478303
- Link Prediction for Event Logs in the Process Industry
Anastasia Zhukova, Thomas Walton, Christian E. Lobm\"uller, Bela Gipp
https://arxiv.org/abs/2508.09096 https://mastoxiv.page/@arXiv_csCL_bot/115020938764936882
- AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation
Huang, Cao, Zhang, Kang, Wang, Wang, Luo, Zheng, Qian, Chen, Yu
https://arxiv.org/abs/2509.16952 https://mastoxiv.page/@arXiv_csCL_bot/115253526588472475
- Multi-View Attention Multiple-Instance Learning Enhanced by LLM Reasoning for Cognitive Distortio...
Jun Seo Kim, Hyemi Kim, Woo Joo Oh, Hongjin Cho, Hochul Lee, Hye Hyeon Kim
https://arxiv.org/abs/2509.17292 https://mastoxiv.page/@arXiv_csCL_bot/115253586227941157
- Dual-Space Smoothness for Robust and Balanced LLM Unlearning
Han Yan, Zheyuan Liu, Meng Jiang
https://arxiv.org/abs/2509.23362 https://mastoxiv.page/@arXiv_csCL_bot/115293308293558024
- The Rise of AfricaNLP: Contributions, Contributors, Community Impact, and Bibliometric Analysis
Tadesse Destaw Belay, et al.
https://arxiv.org/abs/2509.25477 https://mastoxiv.page/@arXiv_csCL_bot/115298213432594791
- Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Reco...
Srivastav, Zheng, Bezzam, Le Bihan, Koluguri, \.Zelasko, Majumdar, Moumen, Gandhi
https://arxiv.org/abs/2510.06961 https://mastoxiv.page/@arXiv_csCL_bot/115343748052193267
- Neuron-Level Analysis of Cultural Understanding in Large Language Models
Taisei Yamamoto, Ryoma Kumon, Danushka Bollegala, Hitomi Yanaka
https://arxiv.org/abs/2510.08284 https://mastoxiv.page/@arXiv_csCL_bot/115349533441895984
- CLMN: Concept based Language Models via Neural Symbolic Reasoning
Yibo Yang
https://arxiv.org/abs/2510.10063 https://mastoxiv.page/@arXiv_csCL_bot/115372392366793754
- Schema for In-Context Learning
Chen, Chen, Wang, Leong, Fung, Bernales, Aspuru-Guzik
https://arxiv.org/abs/2510.13905 https://mastoxiv.page/@arXiv_csCL_bot/115389057899856601
- Evaluating Latent Knowledge of Public Tabular Datasets in Large Language Models
Matteo Silvestri, Fabiano Veglianti, Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei
https://arxiv.org/abs/2510.20351 https://mastoxiv.page/@arXiv_csCL_bot/115428615784704418
- LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data
Julian Valline, Cedric Lothritz, Siwen Guo, Jordi Cabot
https://arxiv.org/abs/2510.24434 https://mastoxiv.page/@arXiv_csCL_bot/115457025096322944
- Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs
Muhammed Saeed, Muhammad Abdul-mageed, Shady Shehata
https://arxiv.org/abs/2511.01187 https://mastoxiv.page/@arXiv_csCL_bot/115491321130591723
toXiv_bot_toot

Sample thing at 13s intervals. Oops! Ship the number now! Before launch, he shake tonight.

The ALMA survey to Resolve #ExoKuiper belt Substructures (ARKS) - motivation, sample, data reduction, and results overview: https://www.mpg.de/26005548/arks_part_i_overview_preprint.pdf -> ALMA Reveals Teenage Years of New Worlds: https://www.mpia.de/news/science/2026-01-arks-survey - new astronomical survey captures previously unknown growing pains in the lives of planets.

Well, that’s half of the two hard problems in computer science solved!
From W3C “Use of Large Language Models in Standards Work”
https://www.w3.org/TR/llms-standards/#brainstorming-names
Now LLMs just need to solve cache invalidation and off-by-one errors.

🇺🇦 Auf radioeins läuft...
Foxwarren:
🎵 Listen2me
#NowPlaying #Foxwarren
https://foxwarren.bandcamp.com/track/listen2me-stem20-sample-listen2me
https://open.spotify.com/track/29WWHCuzU0OCWTfiBKbOm1

It's sooo nice having SEM sample prep and mounting gear at home.
I don't need to waste time in the lab at work getting everything ready, I can prep my sample in the comfort of my own home then show up bright and early Monday morning and pop it in the chamber with no dilly-dallying.

In einer kleinen Studie wurden #Mikroplastik-Partikel in den Plazenten von drei trächtigen #Katzen und in Föten von zwei Tieren nachgewiesen.
Insgesamt fanden Forschende 19 verschiedene #Kunststoffarten

Detection of microplastics in the feline placenta and fetus
The present study aimed to detect microplastics in feline placentas and fetuses in the early stage of pregnancy. For this study, 8 pregnant queens were evaluated. A standardized protocol for the digestion of biological matter was used, as well as a plastic-free approach for sample collection and manipulation. Microplastics were investigated by means of Raman spectroscopy, with the aim of identifying their composition. Four of eight animals were contaminated, with a total of 19 microplastics det…

Why Pass@k Optimization Can Degrade Pass@1: Prompt Interference in LLM Post-training
Anas Barakat, Souradip Chakraborty, Khushbu Pahwa, Amrit Singh Bedi
https://arxiv.org/abs/2602.21189 https://arxiv.org/pdf/2602.21189 https://arxiv.org/html/2602.21189
arXiv:2602.21189v1 Announce Type: new
Abstract: Pass@k is a widely used performance metric for verifiable large language model tasks, including mathematical reasoning, code generation, and short-answer reasoning. It defines success if any of $k$ independently sampled solutions passes a verifier. This multi-sample inference metric has motivated inference-aware fine-tuning methods that directly optimize pass@$k$. However, prior work reports a recurring trade-off: pass@k improves while pass@1 degrades under such methods. This trade-off is practically important because pass@1 often remains a hard operational constraint due to latency and cost budgets, imperfect verifier coverage, and the need for a reliable single-shot fallback. We study the origin of this trade-off and provide a theoretical characterization of when pass@k policy optimization can reduce pass@1 through gradient conflict induced by prompt interference. We show that pass@$k$ policy gradients can conflict with pass@1 gradients because pass@$k$ optimization implicitly reweights prompts toward low-success prompts; when these prompts are what we term negatively interfering, their upweighting can rotate the pass@k update direction away from the pass@1 direction. We illustrate our theoretical findings with large language model experiments on verifiable mathematical reasoning tasks.
toXiv_bot_toot

Learning how to psyop Third World populations with Manual of The Mercenary Soldier
https://archive.org/details/PaulBalorManualOfTheMercenarySoldier

I just sent this to my Congress critter who voted for HR 7006 - which effectively funds trump rather than resists him.
(It is too large for one part, so I am splitting it...)
I am *EXTREMELY* disappointed that you voted in favor of H. R. 7006.
That bill simply pours money into the pockets of our mad president - he will spend it without regard for the niceties or purposes in the bill. Did you read this bill? Just as a single sample from the bill's vast absurdities is th…

@… 's ngscopeclient showing a trace and fft (from a 1kHz sample) from my Rigol DS series scope; I can't say it's that happy with the Rigol, but hey I think that's as much about the Rigol's firmware.
https…

🇺🇦 #NowPlaying on KEXP's #Early
Curtis Mayfield:
🎵 No Thing on Me (Cocaine Song) (instrumental version)
#CurtisMayfield
https://gurusamplebeats.bandcamp.com/track/dekaos-discipulo-sample-curtis-mayfield-no-thing-on-me
https://open.spotify.com/track/4ex8e6IZAcqQ0O8C9LyOU4

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…

Comparing Malik Willis to prior small-sample wonders, plus Dane Brugler's post-combine risers https://www.nytimes.com/athletic/7090880/2026/03/05/malik-willis-nfl-history-comps-matt-flynn/

"Microplastics found in rural woodland at higher levels than in city centers"
#Microplastics #Plastic #Plastics

Microplastics found in rural woodland at higher levels than in city centers
Air-polluting microplastics have been found in rural environments in greater quantities than in urban locations, researchers say. Scientists led by the University of Leeds detected up to 500 microscopic particles of plastic per square meter per day in an area of woodland during the three-month study—almost twice as much as in a sample collected in a city center. The findings are published in the journal Environmental Pollution.

Sunscreen produces persistent free radicals when exposed to light, study finds #environment

Sunscreen produces persistent free radicals when exposed to light, study finds
Research from the Department of Environmental Health Sciences explores how common sunscreen ingredients behave under light exposure. Led by associate professor Eric Vejerano, the team tested seven commercially available sunscreens (including four mineral-based formulas) and found that every sample produced persistent free radicals (PFRs) when exposed to artificial light. The study, published in Environmental Science & Technology Letters, provides new insight into sunscreen photochemistry and ma…

Target's dev server offline after hackers claim to steal source code
https://www.bleepingcomputer.com/news/security/targets-dev-server-offline-after-hackers-claim-to-steal-source-code/

Target's dev server offline after hackers claim to steal source code
Hackers are claiming to be selling internal source code belonging to Target Corporation, after publishing what appears to be a sample of stolen code repositories on a public software development platform. After BleepingComputer notified Target, the files were taken offline and the retailer's developer Git server was inaccessible.

🇺🇦 Auf radioeins läuft...
Foxwarren:
🎵 Listen2me
#NowPlaying #Foxwarren
https://foxwarren.bandcamp.com/track/listen2me-stem20-sample-listen2me
https://open.spotify.com/track/29WWHCuzU0OCWTfiBKbOm1

Restoring missing low scattering angle data in two-dimensional diffraction patterns of isolated molecules
Yanwei Xiong, Martin Centurion
https://arxiv.org/abs/2603.24334 https://arxiv.org/pdf/2603.24334 https://arxiv.org/html/2603.24334
arXiv:2603.24334v1 Announce Type: new
Abstract: Anisotropic two-dimensional diffraction signals contain more information than the conventional isotropic signals for both gas phase ultrafast electron and X-ray diffraction experiments and are common in typical time-resolved diffraction experiments due to the use of linearly polarized lasers to excite the sample that imprints spatial anisotropy on the molecules. We report an iterative algorithm to restore the missing data at low scattering angles in a two-dimensional diffraction signal, which is essential to obtain real-space representation. The iterative algorithm transforms two-dimensional signals back and forth between the momentum transfer domain and the real space domain through Fourier and Abel transforms and apply real space constraints to retrieve missing signal at low scattering angles. The algorithm only requires an approximate a-priori knowledge of the shortest and longest internuclear distances in the molecule. We demonstrated successful retrieval of the missing signal in simulated patterns and in experimentally measured diffraction patterns from laser-induced alignment of trifluoroiodomethane molecules.
toXiv_bot_toot

Like the Hayabusa2 mission,
which explored and returned samples from an asteroid,
#MMX will investigate the Martian moons -- and return a sample from Phobos to Earth.
The mission is scheduled for launch in JFY 2026, followed by an approximately five year journey for the round-trip to the Martian sphere and exploration of the system.
MMX aims to collect more than 10g of material from P…

A massive (but not unusual) sneezing fit followed by hiccups certainly wakes you up in the morning. I hope Wednesday is good to you. I'm bringing together the findings from one part of a small sample set we've processed and then moving onto the microscopes to analyse the other part. I enjoy both aspects but tragically it's the admin that really makes my heart sing 😄 I spent years fighting it but now I accept I was born under the admin star.

Comparing Malik Willis to prior small-sample wonders, plus Dane Brugler's post-combine risers https://www.nytimes.com/athletic/7090880/2026/03/05/malik-willis-nfl-history-comps-matt-flynn/

The #LOFAR Two-metre Sky Survey - VII. Third Data Release: https://arxiv.org/abs/2602.15949 -> Largest Ever Radio Sky Survey Maps the Universe in Unprecedented Detail: https://www.ru.nl/en/research/research-news/largest-ever-radio-sky-survey-maps-the-universe-in-unprecedented-detail (see the ALT text for what the three sample images show).

Looking back at some of my old decaps compared to one I did recently. Amazing what a difference 15 years of practice makes lol.
The etch is so much more surgical now (and I can preserve copper bond wires which was a pipe dream before - although to be fair back then copper wires were not in common use)
The clipped pin on the recent sample is intentional, you'll find out why in a few weeks

I’ve been wondering for years about the source of the sample at the beginning of Etienne de Crécy’s “Affaires Š faire.” https://youtu.be/7URcTSDDLMU
Maybe an obscure Nouvelle vague film? No, it’s from… “Dallas.”

I’ve been wondering for years about the source of the sample at the beginning of Etienne de Crécy’s “Affaires Š faire.” https://youtu.be/7URcTSDDLMU
Maybe an obscure Nouvelle vague film? No, it’s from… “Dallas.”

I’ve been wondering for years about the source of the sample at the beginning of Etienne de Crécy’s “Affaires Š faire.” https://youtu.be/7URcTSDDLMU
Maybe an obscure Nouvelle vague film? No, it’s from… “Dallas.”

how many times can an 8yo scream directly into your ear before your brain melts?
(study shortcomings include the tiny sample size of 1)

Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
Zhangjie Xia, Yu Yang, Pan Xu
https://arxiv.org/abs/2602.21072 https://arxiv.org/pdf/2602.21072 https://arxiv.org/html/2602.21072
arXiv:2602.21072v1 Announce Type: new
Abstract: Off-dynamics offline reinforcement learning (RL) aims to learn a policy for a target domain using limited target data and abundant source data collected under different transition dynamics. Existing methods typically address dynamics mismatch either globally over the state space or via pointwise data filtering; these approaches can miss localized cross-domain similarities or incur high computational cost. We propose Localized Dynamics-Aware Domain Adaptation (LoDADA), which exploits localized dynamics mismatch to better reuse source data. LoDADA clusters transitions from source and target datasets and estimates cluster-level dynamics discrepancy via domain discrimination. Source transitions from clusters with small discrepancy are retained, while those from clusters with large discrepancy are filtered out. This yields a fine-grained and scalable data selection strategy that avoids overly coarse global assumptions and expensive per-sample filtering. We provide theoretical insights and extensive experiments across environments with diverse global and local dynamics shifts. Results show that LoDADA consistently outperforms state-of-the-art off-dynamics offline RL methods by better leveraging localized distribution mismatch.
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…

This projector does not photograph well at all.
But should be a fun talk

Orientation Reconstruction of Proteins using Coulomb Explosions
Tomas Andr\'e, Alfredo Bellisario, Nicusor Timneanu, Carl Caleman
https://arxiv.org/abs/2603.24553 https://arxiv.org/pdf/2603.24553 https://arxiv.org/html/2603.24553
arXiv:2603.24553v1 Announce Type: new
Abstract: We solve the orientation recovery of a tumbling protein in the gas phase from single-event measurements of the spatial positions of its ions after an X-ray laser induced explosion. We simulate diffracted X-ray signal and ion dynamics under experimental conditions and compare our method to conventional orientation recovery in single-particle imaging with X-ray free-electron lasers using only diffraction data. We reconstruct 3D diffraction intensities using orientations recovered from the ion signatures and retrieve the electron density with established phase-retrieval algorithms. We test our orientation recovery procedure on 56 proteins ranging from 14 to 52 kDa (1800 to 6500 atoms), achieving roughly an angular error of around 5{\deg}. The resulting 3D electron-density reconstructions are compared to ground-truth volumes simulated at the same nominal resolution, and achieve the resolution at the edge of the detector in conditions similar to current single-particle imaging setups. We investigate the reconstruction quality and demonstrate that ion data can be used for reliable orientation recovery of particles in single-particle imaging, achieving orientation on par or better than currently used recovery techniques. This work shows the potential of ion detection for retrieving additional information from the sample fragmentation, and boost single particle imaging with X-ray lasers in the cases where the diffraction signal is a limiting factor.
toXiv_bot_toot

RE: https://flipboard.com/@spacecom/space.com-06o8ff5iz/-/a-uaYJjWjASkOFZag4tBuDuQ:a:1693190246-/0
More in https://www.aaas.org/news/fy-2026-rd-appropriations-dashboard, https://scicomm.xyz/@AkaSci@fosstodon.org/115845815382959954, https://www.leonarddavid.com/mars-sample-return-given-the-political-axe/ and https://eos.org/research-and-developments/science-escapes-largest-cuts-in-latest-budget-bills

On the Generalization Behavior of Deep Residual Networks From a Dynamical System Perspective
Jinshu Huang, Mingfei Sun, Chunlin Wu
https://arxiv.org/abs/2602.20921 https://arxiv.org/pdf/2602.20921 https://arxiv.org/html/2602.20921
arXiv:2602.20921v1 Announce Type: new
Abstract: Deep neural networks (DNNs) have significantly advanced machine learning, with model depth playing a central role in their successes. The dynamical system modeling approach has recently emerged as a powerful framework, offering new mathematical insights into the structure and learning behavior of DNNs. In this work, we establish generalization error bounds for both discrete- and continuous-time residual networks (ResNets) by combining Rademacher complexity, flow maps of dynamical systems, and the convergence behavior of ResNets in the deep-layer limit. The resulting bounds are of order $O(1/\sqrt{S})$ with respect to the number of training samples $S$, and include a structure-dependent negative term, yielding depth-uniform and asymptotic generalization bounds under milder assumptions. These findings provide a unified understanding of generalization across both discrete- and continuous-time ResNets, helping to close the gap in both the order of sample complexity and assumptions between the discrete- and continuous-time settings.
toXiv_bot_toot

Just back from a demo of the XPS! #Chemistry

Crosslisted article(s) found for q-fin.PM. https://arxiv.org/list/q-fin.PM/new
[1/1]:
- A novel approach to trading strategy parameter optimization using double out-of-sample data and w...
Tomasz Mroziewicz, Robert \'Slepaczuk

High-Dimensional Robust Mean Estimation with Untrusted Batches
Maryam Aliakbarpour, Vladimir Braverman, Yuhan Liu, Junze Yin
https://arxiv.org/abs/2602.20698 https://arxiv.org/pdf/2602.20698 https://arxiv.org/html/2602.20698
arXiv:2602.20698v1 Announce Type: new
Abstract: We study high-dimensional mean estimation in a collaborative setting where data is contributed by $N$ users in batches of size $n$. In this environment, a learner seeks to recover the mean $\mu$ of a true distribution $P$ from a collection of sources that are both statistically heterogeneous and potentially malicious. We formalize this challenge through a double corruption landscape: an $\varepsilon$-fraction of users are entirely adversarial, while the remaining ``good'' users provide data from distributions that are related to $P$, but deviate by a proximity parameter $\alpha$.
Unlike existing work on the untrusted batch model, which typically measures this deviation via total variation distance in discrete settings, we address the continuous, high-dimensional regime under two natural variants for deviation: (1) good batches are drawn from distributions with a mean-shift of $\sqrt{\alpha}$, or (2) an $\alpha$-fraction of samples within each good batch are adversarially corrupted. In particular, the second model presents significant new challenges: in high dimensions, unlike discrete settings, even a small fraction of sample-level corruption can shift empirical means and covariances arbitrarily.
We provide two Sum-of-Squares (SoS) based algorithms to navigate this tiered corruption. Our algorithms achieve the minimax-optimal error rate $O(\sqrt{\varepsilon/n} \sqrt{d/nN} \sqrt{\alpha})$, demonstrating that while heterogeneity $\alpha$ represents an inherent statistical difficulty, the influence of adversarial users is suppressed by a factor of $1/\sqrt{n}$ due to the internal averaging afforded by the batch structure.
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…

Millimeter-scale rigid diamond probe for high sensitivity endoscopic-magnetometry applications
Jihongbo Shen, Heng Yuan, Hongyu Tao, Zekun Niu, Haoming Xu, Chentao Zhang, Chen Su, Zhuo Wang, Chen Zhang
https://arxiv.org/abs/2602.06077 https://arxiv.org/pdf/2602.06077 https://arxiv.org/html/2602.06077
arXiv:2602.06077v1 Announce Type: new
Abstract: Magnetometry based on diamond nitrogen-vacancy (NV) centers has been extensively studied for applications requiring diverse capabilities, spanning from nanometer spatial resolution to subpicotesla sensitivity. Among various applications, diamond magnetometers can demonstrate high sensitivity magnetic sensing within millimeter-scale size for endoscopic applications. However, the trade-off between sensitivity and spatial resolution of diamond magnetometry makes it difficult to achieve such a probe. In this study, we present a millimeter-scale rigid diamond magnetometer probe with enhanced sensitivity via optimizing the optical design. By coupling the frustum diamond with the miniaturized compound parabolic concentrator (CPC) lens, we enhance the fluorescence collection efficiency by 37% within 4 mm diameter, and the achieved sensitivity is 200 pT/Hz1/2 based on the sample with the resonance linewidth of ~8 MHz. With this verified structure, endoscopes with mm-size probe and picotesla sensitivity can be projected for surgical and industrial applications in the future.
toXiv_bot_toot

WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs
Lisa L\"uddecke, Michael Hohmann, Sebastian Eilermann, Jan Tillmann-Mumm, Pezhman Pourabdollah, Mario Oertel, Oliver Niggemann
https://arxiv.org/abs/2602.20714 https://arxiv.org/pdf/2602.20714 https://arxiv.org/html/2602.20714
arXiv:2602.20714v1 Announce Type: new
Abstract: Reliable prediction of hydraulic performance is challenging for Piano Key Weir (PKW) design because discharge capacity depends on three-dimensional geometry and operating conditions. Surrogate models can accelerate hydraulic-structure design, but progress is limited by scarce large, well-documented datasets that jointly capture geometric variation, operating conditions, and functional performance. This study presents WeirNet, a large 3D CFD benchmark dataset for geometric surrogate modeling of PKWs. WeirNet contains 3,794 parametric, feasibility-constrained rectangular and trapezoidal PKW geometries, each scheduled at 19 discharge conditions using a consistent free-surface OpenFOAM workflow, resulting in 71,387 completed simulations that form the benchmark and with complete discharge coefficient labels. The dataset is released as multiple modalities compact parametric descriptors, watertight surface meshes and high-resolution point clouds together with standardized tasks and in-distribution and out-of-distribution splits. Representative surrogate families are benchmarked for discharge coefficient prediction. Tree-based regressors on parametric descriptors achieve the best overall accuracy, while point- and mesh-based models remain competitive and offer parameterization-agnostic inference. All surrogates evaluate in milliseconds per sample, providing orders-of-magnitude speedups over CFD runtimes. Out-of-distribution results identify geometry shift as the dominant failure mode compared to unseen discharge values, and data-efficiency experiments show diminishing returns beyond roughly 60% of the training data. By publicly releasing the dataset together with simulation setups and evaluation pipelines, WeirNet establishes a reproducible framework for data-driven hydraulic modeling and enables faster exploration of PKW designs during the early stages of hydraulic planning.
toXiv_bot_toot

Ok fedi, you're full of game devs and weird microarchitecture experts and generally the right kind of people to ask...
I'm thinking about a generic data representation for multi-bit vectors in ngscopeclient.
Right now we support single-bit digital signals (one byte aka C bool per sample), analog signals (one float32 per sample), and arbitrary struct/class types (for protocol decoder output).
Notably missing is multi-bit digital vectors. There is some legacy code i…

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…

Math people: If I have a bunch of sampled data that I've found a local maximum on, and I want to interpolate the peak location to sub-sample precision, what's a good way to do that?
I know how to interpolate a zero crossing linearly but this is a bit more complex, I feel like I'll probably want to fit a sinc or gaussian or something to the data somehow?

Gamma Imagers for Nuclear Security and Nuclear Forensics: Recommendations based on results from a side-by-side intercomparison
L. E. Sinclair, P. R. B. Saull, A. McCann, A. M. L. MacLeod, N. J. Murtha, A. El-Jaby, G. Jonkmans
https://arxiv.org/abs/2602.00826 https://arxiv.org/pdf/2602.00826 https://arxiv.org/html/2602.00826
arXiv:2602.00826v1 Announce Type: new
Abstract: Nuclear security operations and forensic investigations require the utilization of a suite of instruments ranging from passive gamma spectrometers to high-precision laboratory sample analyzers. Gamma spectroscopy survey is further broken down into wide-area search performed with large-volume scintillator-based mobile survey spectrometers which are integrated with geographic position sensors for mapping and identification of hot zones, and high-precision long-dwell measurements using solid state spectrometers for follow-on characterization to establish isotopic content and ratios. While performing well at detecting the presence, quantity and type of radioactivity, all of these methods have limited ability to determine the location of a source of radioactivity. In recent years, technology advances have resulted in gamma imager devices which can create an image of the distribution of radioactive sources using the gamma emissions which accompany radioactive decay, and overlay this on an optical photograph of the environment. These gamma imaging devices have arisen out of methods developed for medical physics, experimental particle physics, and astrophysics, resulting in a proliferation of different technological approaches. Those responsible for establishing a nuclear security concept of operations, require guidance to choose the proper gamma imager for each of the application spaces in a tiered response. Here the results of an intercomparison of two gamma imagers based on two widely different technologies, semiconductor and scintillator detectors, are presented. The optimal utilization of these imaging technologies in a tiered response is discussed based on the results of the trial. Finally, an outlook on future directions for gamma imaging advances is provided.
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Fine tuning the Lego spectrometer more.
Using a maglite as the source eliminates the need for a separate collimating lens.
I also switched away from the very flaky variable slit made of a sliding brick that wouldn't stay in place if you looked at it wrong.
After some failed experiments with aluminum foil, I discovered that the round tree trunk Duplo brick was a tiny bit smaller than a nominal square 2x2 brick. When placed next to a square brick and locked in place with …

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…

Introducing the kiddo to optical spectroscopy

So, tonight's goal is to continue with ngscopeclient performance work.
I started out by doubling the speed of the eye pattern *again* by moving index buffer calculation from CPU to GPU.
Next up is going to be getting the 100baseTX decoder to not be so slow. Right now of the 43 seconds of CPU time in the current 1-minute benchmark, 26.9 is spent sampling the MLT-3 waveform on rising edges of the recovered clock.
The thing is, we already *know* the sample values at the re…

Inter-detector differential fuzz testing for tamper detection in gamma spectrometers
Pei Yao Li, Jayson R. Vavrek, Sean Peisert
https://arxiv.org/abs/2602.00336 https://arxiv.org/pdf/2602.00336 https://arxiv.org/html/2602.00336
arXiv:2602.00336v1 Announce Type: new
Abstract: We extend physical differential fuzz testing as an anti-tamper method for radiation detectors [Vavrek et al., Science and Global Security 2025] to comparisons across multiple detector units. The method was previously introduced as a tamper detection method for authenticating a single radiation detector in nuclear safeguards and treaty verification scenarios, and works by randomly sampling detector configuration parameters to produce a sequence of spectra that form a baseline signature of an untampered system. At a later date, after potential tampering, the same random sequence of parameters is used to generate another series of spectra that can be compared against the baseline. Anomalies in the series of comparisons indicate changes in detector behavior, which may be due to tampering. One limitation of this original method is that once the detector has `gone downrange' and may have been tampered with, the original baseline is fixed, and a new trusted baseline can never be established if tests at new parameters are required. In this work, we extend our anti-tamper fuzz testing concept to multiple detector units, such that the downrange detector can be compared against a trusted or `golden copy' detector, even despite normal inter-detector manufacturing variations. We show using three NaI detectors that this inter-detector differential fuzz testing can detect a representative attack, even when the tested and golden copy detectors are from different manufacturers and have different performances. Here, detecting tampering requires visualizing the comparison metric vs. the parameter values and not just the sample number; moreover this baseline is non-linear and may require anomaly detection methods more complex than a simple threshold. Overall, this extension to multiple detectors improves prospects for operationalizing the technique in real-world treaty verification and safeguards contexts.
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