Tootfinder

“The impact of the reforms — and 3rd Assault’s attitude toward the importance of training — is already being felt on the battlefield…”
https://newlinesmag.com/spotlight/inside-ukraines-plan-to-build-self-sufficient-defense-force/

Inside Ukraine’s Plan To Build a Self-Sufficient Defense Force
With Western security guarantees uncertain, Kyiv is turning to elite, battle-hardened units as the core of a remodeled military

🇺🇦 #NowPlaying on KEXP's #Roadhouse
Neil Young:
🎵 Lookout Joe
#NeilYoung
https://agentdoublebylamomie.bandcamp.com/track/cover-neil-young-lookout-joe
https://open.spotify.com/track/0sZyTfpfRdARYW60d5O2I1

#NowPlaying a great rap record from 2022 I'd missed until now, 'Marlowe 3' by Marlowe, which here is rapper Solemn Brigham and beats by L’Orange, in North Carolina. Some REALLY wild flows, beats and even melodies on this one. Another one Bandcamp recommended to me, this time via the 'conscious hip hop' tag. They're fuckin nailing it over there

"The Nordic and Baltic states have quietly demonstrated that Europe has done more than its fair share in helping an embattled ally. The continent as a whole is a lot stronger than it looks. Perhaps it’s time it knew its own strength."
https://newlinesmag.com/argument/the-farther-east-one-goes-in-europe-the-more-west-one-winds-up/

Assumption-lean Inference for Network-linked Data
Wei Li, Nilanjan Chakraborty, Robert Lunde
https://arxiv.org/abs/2510.00287 https://arxiv.org/pdf/2510.00…

Assumption-lean Inference for Network-linked Data
We consider statistical inference for network-linked regression problems, where covariates may include network summary statistics computed for each node. In settings involving network data, it is often natural to posit that latent variables govern connection probabilities in the graph. Since the presence of these latent features makes classical regression assumptions even less tenable, we propose an assumption-lean framework for linear regression with jointly exchangeable regression arrays. We …

A Deep Neural Network Codebook Approach for Near-Field Nulling Control Beam Focusing
Mohammadhossein Karimi, Yuanzhe Gong, Tho Le-Ngoc
https://arxiv.org/abs/2509.22204 https://

A Deep Neural Network Codebook Approach for Near-Field Nulling Control Beam Focusing
This paper proposes a deep neural network (DNN) codebook approach for multi-user interference (MUI) mitigation in extremely large multiple-input multiple-output (XL-MIMO) systems operating in the near-field region. Unlike existing DNN-based nulling control beamforming (NCBF) methods that face scalability and complexity challenges, the proposed framework partitions the Fresnel region using correlation-based sampling and assigns a lightweight fully connected DNN model to each subsection. Each mod…

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