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Allusionist 218: Banned Books #podcast

Exponential convergence of multiagent systems with lack of connection
Fabio Ancona, Mohamed Bentaibi, Francesco Rossi
https://arxiv.org/abs/2510.11334 https://

Exponential convergence of multiagent systems with lack of connection
Finding conditions ensuring consensus, i.e. convergence to a common value, for a networked system is of crucial interest, both for theoretical reasons and applications. This goal is harder to achieve when connections between agents are temporarily lost. Here, we prove that known conditions (introduced by Moreau) ensure an exponential convergence to consensus, with explicit rate of convergence. The key result is related to the length of the graph (i.e. the number of connections to reach a comm…

It's the end of #BannedBooksWeek, but not the end of book bans. Local involvement with your library is the best way to fight back and defend everyone's access to knowledge. Check out For The People's excellent new Libraries 101 video to learn how!

Leptogenesis and neutrino mass with one right-handed neutrino and Higgs inflaton
Disha Bandyopadhyay, Debasish Borah, Suruj Jyoti Das, Nobuchika Okada
https://arxiv.org/abs/2508.10103

Leptogenesis and neutrino mass with one right-handed neutrino and Higgs inflaton
We propose a novel and minimal setup where the observed baryon asymmetry of the Universe and neutrino oscillation data can be satisfied with only one right-handed neutrino (RHN) and a second Higgs doublet with the latter being also responsible for driving cosmic inflation. While inflation is realised via non-minimal coupling of the Higgs to gravity, baryon asymmetry is generated via Affleck-Dine leptogenesis. Due to the presence of only two new fields beyond the standard model (BSM), the propos…

Assessing Bias in the Variable Bandpass Periodic Block Bootstrap Method
Yanan Sun, Eric Rose, Kai Zhang, Edward Valachovic
https://arxiv.org/abs/2509.08647 https://

Assessing Bias in the Variable Bandpass Periodic Block Bootstrap Method
The Variable Bandpass Periodic Block Bootstrap(VBPBB) is an innovative method for time series with periodically correlated(PC) components. This method applies bandpass filters to extract specific PC components from datasets, effectively eliminating unwanted interference such as noise. It then bootstraps the PC components, maintaining their correlation structure while resampling and enabling a clearer analysis of the estimation of the statistical properties of periodic patterns in time series da…

Generalized infinite dimensional Alpha-Procrustes based geometries
Salvish Goomanee, Andi Han, Pratik Jawanpuria, Bamdev Mishra
https://arxiv.org/abs/2511.09801 https://<…