New Papers for bibbot!

[pancetta]

https://doi.org/10.48550/arXiv.2605.12683
https://doi.org/10.48550/arXiv.2605.11979

[github-actions]

I could not find arXiv infos for https://arxiv.org/abs/2605.12683, maybe try without the version suffix 'v[.]'
I could not find arXiv infos for https://arxiv.org/abs/2605.11979, maybe try without the version suffix 'v[.]'

[github-actions]

@misc{HessEtAl2026,
doi = {10.48550/ARXIV.2605.12683},
url = {https://arxiv.org/abs/2605.12683},
author = {Hess, Florian and Götz, Florian and Durstewitz, Daniel},
keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Distributed, Parallel, and Cluster Computing (cs.DC), Computational Physics (physics.comp-ph), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Physical sciences, FOS: Physical sciences},
title = {Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction},
publisher = {arXiv},
year = {2026},
copyright = {Creative Commons Attribution 4.0 International}
}

@misc{LiEtAl2026,
doi = {10.48550/ARXIV.2605.11979},
url = {https://arxiv.org/abs/2605.11979},
author = {Li, Guanglian and Lin, Qingle and Zhang, Kai and Zhou, Zhi},
keywords = {Numerical Analysis (math.NA), FOS: Mathematics, FOS: Mathematics, 65M55},
title = {Optimized Two-Step Coarse Propagators in Parareal Algorithms},
publisher = {arXiv},
year = {2026},
copyright = {arXiv.org perpetual, non-exclusive license}
}