Tootfinder

It’s not like PA has any history of needing such alarms… https://epistolary.org/@vees/114616119029931607

Rob Carlson :ally: :BLM: (@vees@epistolary.org)
Attached: 1 image Neighbor on local Facebook group savaged for complaining about “excessive” semi-annual nuclear power plant alert siren network testing.

"The most effective countermeasure is simple: tariffs for oligarchs. Countries should tie market access for foreign multinationals and billionaires to fair taxation. As soon as Trump follows through with tariffs on Canada and Mexico, those countries should retaliate by taxing US oligarchs."
https://

An Advanced Cyber-Physical System Security Testbed for Substation Automation
Akila Herath, Chen-Ching Liu, Junho Hong, Mansi Girdhar
https://arxiv.org/abs/2505.24021

An Advanced Cyber-Physical System Security Testbed for Substation Automation
A Cyber-Physical System (CPS) testbed serves as a powerful platform for testing and validating cyber intrusion detection and mitigation strategies in substations. This study presents the design and development of a CPS testbed that can effectively assess the real-time dynamics of a substation. Cyber attacks exploiting IEC 61850-based SV and GOOSE protocols are demonstrated using the testbed, along with an analysis on attack detection. Realistic timing measurements are obtained, and the time fra…

Real-Time Sounding in ISAC networks: Design and Implementation of a Multi-Node Testbed with Synchronized Airborne and Ground-Based Sensors
Julia Beuster, Carsten Andrich, Sebastian Giehl, Marc Miranda, Lorenz Mohr, Dieter Novotny, Tom Kaufmann, Christian Schneider, Reiner S. Thom\"a
https://arxiv.org/abs/2506.00624

Real-Time Sounding in ISAC networks: Design and Implementation of a Multi-Node Testbed with Synchronized Airborne and Ground-Based Sensors
As integrated sensing and communication (ISAC) capabilities become more prevalent in the mobile 6G radio landscape, there is a substantial opportunity to enhance situational awareness across diverse applications through multi-static radar sensing within meshed ISAC networks. To facilitate the development and testing of detection and localization algorithms across diverse scenarios, this paper introduces a synchronized distributed channel sounding testbed with airborne and ground-based multi-cha…

This https://arxiv.org/abs/2502.01164 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Tightening Causal Bounds via Covariate-Aware Optimal Transport
Causal estimands can vary significantly depending on the relationship between outcomes in treatment and control groups, potentially leading to wide partial identification (PI) intervals that impede decision making. Incorporating covariates can substantially tighten these bounds, but requires determining the range of PI over probability models consistent with the joint distributions of observed covariates and outcomes in treatment and control groups. This problem is known to be equivalent to a c…

This https://arxiv.org/abs/2412.06043 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Probing Gravity -- Fundamental Aspects of Metric Theories and their Implications for Tests of General Relativity
Guided by the Einstein equivalence principle that identifies the phenomenon of gravitation as a manifestation of the dynamics of spacetime in contrast to a localizable force, we review and explore its consequences on formulating a theory of gravity. The resulting space of metric theories of gravity may address open conceptual and observational puzzles through a wealth of effects beyond general relativity, whose traces can be searched for within today's and tomorrow's gravitational testing groun…

Conditional Method Confidence Set
Lukas Bauer, Ekaterina Kazak
https://arxiv.org/abs/2505.21278 https://arxiv.org/pdf/2505.21278

Conditional Method Confidence Set
This paper proposes a Conditional Method Confidence Set (CMCS) which allows to select the best subset of forecasting methods with equal predictive ability conditional on a specific economic regime. The test resembles the Model Confidence Set by Hansen et al. (2011) and is adapted for conditional forecast evaluation. We show the asymptotic validity of the proposed test and illustrate its properties in a simulation study. The proposed testing procedure is particularly suitable for stress-testing …

A bad #Python bump morning in #Gentoo:
1. A project that couldn't be bothered to make a release with a security fix for 4 years finally made a release. Of course, if you make one release in 7 years, it is definitely a good idea to replace your build system with a broken #PythonPoetry #setuptools hybrid.
2. Another project made a release with a bunch of test failures — that were fixed in "master" branch already at the time, but I guess nobody bothered testing the release branch.
3. Just discovered that a bunch of projects are using pkg_resources namespaces again — and we were supposed to have gotten rid of them years ago! Of course it's #Google. And on top of that, since pkg_resources are now throwing deprecation warnings, they are indirectly breaking random other test suites.
On the positive side, test_lolwut is failing for me in redis-py.