Tootfinder

Today I had a successful POTA activation, logging zero QSOs.
How did I do that?
As a control operator of a club station, I supervised two new hams with Technician privileges making successful SSB QSOs on 20m, giving them a taste of what they'll be able to do on their own, once they get their General (or Amateur Extra) upgrades as each of them plans to do.
Also, I helped one of them work on CW.
I'll get my own 10 again another time.

📢 Trump: Russland und Ukraine einigen sich auf dreitägige Waffenruhe
US-Präsident Trump hat für morgen den Beginn einer dreitägige Waffenruhe zwischen der Ukraine und Russland verkündet. Der ukrainische Staatschef Selenskyj bestätigte die Einigung grundsätzlich. Es soll auch einen Gefangenenaustausch geben.
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Trump: Russland und Ukraine einigen sich auf Waffenruhe
US-Präsident Trump hat für morgen den Beginn einer dreitägige Waffenruhe zwischen der Ukraine und Russland verkündet. Beide Kriegsparteien bestätigten das Vorhaben. Teil der Verabredung ist auch ein Gefangenenaustausch.

Cubone giving his usual serious look as he blends into the blanket
#caturday

I gave the Strangers in a Tangled Wilderness crew the significant challenge of trying to make me sound coherent in this interview with Inmn Neruin. I was managing some pretty significant sleep deprivation and a mild cold, but I think it turned out pretty good (despite my best efforts).
But I did talk a lot about my trauma related to some of my experience living in #rural areas, and in doing that I was definitely not as careful as I could have been to talk about that as a trauma experience rather than as reality. Some people get trapped in rural areas, but other folks live there because they find beautiful things.
Not only is #RuralOrganizing critical (Trumpism grew out of areas neglected by "the left"), but rural living can be beautiful and rewarding. I briefly mentioned growing up throwing knives. A friend of mine lived way out in the woods, and there's something special about having a playground that spans several square miles. Intertwined with the old settler colonialism, antisemitism, *phobias, and isolation, that is at the heart of a lot of my personal rural misery, there's also a joyous and feral thing that taught me a lot and, I think, helped me organize more fearlessly. That thing is both individualist and collectivist, in different ways, and I don't think it's well understood without experiencing it. There's far more nuance than I was able to offer (and I definitely could have been more careful not to play into anti-rural stereotypes).
I think I said, "no one wants to live there." People do. You do. So let me try to fix that by giving you a chance to talk about that. I also talked about how slow things move, how nothing changes, but there are also sometimes opportunities to change things in huge ways specifically because structures don't exist to stop those changes. So while I'm bumping this zine and interview, also I want to use this as an opportunity to welcome my rural comrades to help fill in the gaps:
What draws you to where you are?
Do you choose to live in a rural area vs urban, and why?
Is there any other thing I've said that you would like to correct?
What other things should folks know?
https://www.tangledwilderness.org/features/near-death

Giving some more thought to replacing my 2007 Mazda 3 with a used EV. The two-door electric Minis seem like a good fit in terms of size, range, and style. I also like the Fiat 500e, but it seems a little too small. What else is good?
#ElectricVehicles #EVs

Giving your human treats can help reenforce good behavior (like leaving the bathroom door open)

RE: https://unstable.systems/@jneen/116618931097778342
Worth looking at both the quoted text here and •especially• the linked page, which is quite good.
I’ll add another item of my own. The first screenshot mentions giving an LLM the task of “implementing an HTTP server in JavaScript from scratch” in 90 minutes. Sounds impressive, right? Until you remember that every open-source Javascript HTTP server in existence ••was in the training data••.
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Ich bin immer wieder entsetzt darüber, dass es Menschen gibt, Männer und Frauen, die sich dabei gut fühlen, anderen Gewalt anzutun und sie zu foltern.
In einem Podcast hörte ich zufällig heute von einer Statistik, nach der 40% der Bevölkerung in ihrem Leben eine psychiatrische Diagnose bekommen hätten.
Das kann noch heiter werden!. ☹️

Fall Gablingen: "Größter JVA-Skandal der Bundesrepublik"
Wärter der JVA Augsburg-Gablingen sollen Gefangene aus Spaß gedemütigt und misshandelt haben. Das geht aus Recherchen von BR und Kontraste hervor. Die frühere Bundesjustizministerin Leutheusser-Schnarrenberger spricht von "Abgründen".

Improved Approximation Guarantees for Groupwise Maximin Share Fairness
Georgios Amanatidis, Anna Korfiati, Evangelos Markakis, Christodoulos Santorinaios
https://arxiv.org/abs/2606.04731 https://arxiv.org/pdf/2606.04731 https://arxiv.org/html/2606.04731
arXiv:2606.04731v1 Announce Type: new
Abstract: We study the problem of fairly allocating a set of indivisible goods to a set of $n$ agents with additive valuation functions. We focus on the very demanding notion of \textit{groupwise maximin share fairness} (GMMS), which requires that each agent $i$ receives value comparable to their maximin share, where the latter is computed \textit{with respect to any subset of agents that contains $i$}. We show that it is possible to compute $(\phi-1)$-approximate GMMS allocations in polynomial time, where $\phi \approx 1.618$ is the golden ratio). This improves on the previously known guarantee of $4/7$ of Chaudhury et al. [SICOMP; 2021] and Amanatidis et al. [TCS; 2020]. We propose a simple algorithm that maintains the same main properties as the Draft-and-Eliminate algorithm of Amanatidis et al. [TCS, 2020] and we improve on the approximation guarantee analysis by carefully bounding the relevant value within any subinstance induced by the restriction of our allocation to a subset of agents. Our analysis is asymptotically tight for algorithms that share these properties and has the additional benefit of giving improved guarantees for restricted settings; in particular, when the agents agree on the top $n$ goods or when the number of agents is small. To illustrate the challenges of going beyond the guarantees of our algorithm, we also present a variant with an improved approximation of $(\sqrt{10}-1)/3 \approx 0.72$ for the case of three agents. To achieve this improvement we partially characterize the maximin share guarantees of short picking sequences for a small number of goods.
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Crosslisted article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/2]:
- Bridge-RAG: An Abstract Bridge Tree Based Retrieval Augmented Generation Algorithm With Cuckoo Fi...
Li, Liu, Zong, Tao, Dai, Ren, Liu, Jiang, Yang
https://arxiv.org/abs/2603.26668 https://mastoxiv.page/@arXiv_csIR_bot/116322781593134028
- SRAG: RAG with Structured Data Improves Vector Retrieval
Shalin Shah, Srikanth Ryali, Ramasubbu Venkatesh
https://arxiv.org/abs/2603.26670 https://mastoxiv.page/@arXiv_csIR_bot/116322784870180864
- LITTA: Late-Interaction and Test-Time Alignment for Visually-Grounded Multimodal Retrieval
Seonok Kim
https://arxiv.org/abs/2603.26683 https://mastoxiv.page/@arXiv_csIR_bot/116322841916406330
- Agentic AI for Human Resources: LLM-Driven Candidate Assessment
Yuksel, Anees, Elneima, Hewavitharana, Al-Badrashiny, Sawaf
https://arxiv.org/abs/2603.26710 https://mastoxiv.page/@arXiv_csIR_bot/116322937601675587
- SEAR: Schema-Based Evaluation and Routing for LLM Gateways
Zecheng Zhang, Han Zheng, Yue Xu
https://arxiv.org/abs/2603.26728 https://mastoxiv.page/@arXiv_csDB_bot/116322627580095245
- SleepVLM: Explainable and Rule-Grounded Sleep Staging via a Vision-Language Model
Guifeng Deng, Pan Wang, Jiquan Wang, Shuying Rao, Junyi Xie, Wanjun Guo, Tao Li, Haiteng Jiang
https://arxiv.org/abs/2603.26738 https://mastoxiv.page/@arXiv_csCV_bot/116322739676378309
- Aesthetic Assessment of Chinese Handwritings Based on Vision Language Models
Chen Zheng, Yuxuan Lai, Haoyang Lu, Wentao Ma, Jitao Yang, Jian Wang
https://arxiv.org/abs/2603.26768 https://mastoxiv.page/@arXiv_csCV_bot/116323078149576728
- Learning to Select Visual In-Context Demonstrations
Eugene Lee, Yu-Chi Lin, Jiajie Diao
https://arxiv.org/abs/2603.26775 https://mastoxiv.page/@arXiv_csLG_bot/116322648878995047
- CRISP: Characterizing Relative Impact of Scholarly Publications
Hannah Collison, Benjamin Van Durme, Daniel Khashabi
https://arxiv.org/abs/2603.26791 https://mastoxiv.page/@arXiv_csDL_bot/116322621679820997
- GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem S...
Xinyi Duan, Yuanrong Tang, Jiangtao Gong
https://arxiv.org/abs/2603.26807 https://mastoxiv.page/@arXiv_csIR_bot/116322959557860848
- In your own words: computationally identifying interpretable themes in free-text survey data
Jenny S Wang, Aliya Saperstein, Emma Pierson
https://arxiv.org/abs/2603.26930 https://mastoxiv.page/@arXiv_csCY_bot/116322780637316287
- Multilingual Stutter Event Detection for English, German, and Mandarin Speech
Felix Haas, Sebastian P. Bayerl
https://arxiv.org/abs/2603.26939 https://mastoxiv.page/@arXiv_csSD_bot/116322704289189130
- FormalProofBench: Can Models Write Graduate Level Math Proofs That Are Formally Verified?
Ravi, Ying, Nesterov, Krishnan, Uskuplu, Xia, Aswedige, Nashold
https://arxiv.org/abs/2603.26996 https://mastoxiv.page/@arXiv_csAI_bot/116322625941412681
- PHONOS: PHOnetic Neutralization for Online Streaming Applications
Waris Quamer, Mu-Ruei Tseng, Ghady Nasrallah, Ricardo Gutierrez-Osuna
https://arxiv.org/abs/2603.27001 https://mastoxiv.page/@arXiv_eessAS_bot/116322763598554193
- ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding
Jovana Kondic, et al.
https://arxiv.org/abs/2603.27064 https://mastoxiv.page/@arXiv_csCV_bot/116323214468792735
- daVinci-LLM:Towards the Science of Pretraining
Qin, Liu, Mi, Xie, Huang, Si, Lu, Feng, Wu, Liu, Luo, Hou, Guo, Qiao, Liu
https://arxiv.org/abs/2603.27164 https://mastoxiv.page/@arXiv_csAI_bot/116322653467105951
- LightMover: Generative Light Movement with Color and Intensity Controls
Zhou, Wang, Kim, Shu, Yu, Hold-Geoffroy, Chaturvedi, Wu, Lin, Cohen
https://arxiv.org/abs/2603.27209 https://mastoxiv.page/@arXiv_csCV_bot/116323263295656104
- Self-evolving AI agents for protein discovery and directed evolution
Tan, Zhang, Li, Yu, Zhong, Zhou, Dong, Hong
https://arxiv.org/abs/2603.27303 https://mastoxiv.page/@arXiv_csAI_bot/116322838641595927
- Inference-Time Structural Reasoning for Compositional Vision-Language Understanding
Amartya Bhattacharya
https://arxiv.org/abs/2603.27349 https://mastoxiv.page/@arXiv_csCV_bot/116323280006044500
- LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications
Alexandre Cristov\~ao Maiorano
https://arxiv.org/abs/2603.27355 https://mastoxiv.page/@arXiv_csAI_bot/116322987708962414
- Heterogeneous Debate Engine: Identity-Grounded Cognitive Architecture for Resilient LLM-Based Eth...
Jakub Mas{\l}owski, Jaros{\l}aw A. Chudziak
https://arxiv.org/abs/2603.27404 https://mastoxiv.page/@arXiv_csAI_bot/116322999177460352
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