Project

Citation

If ResDAG contributes to published work, cite the software:

@software{estevezmoya_resdag_2026,
  author  = {Estevez-Moya, Daniel},
  title   = {ResDAG: Reservoir computing for PyTorch},
  year    = {2026},
  url     = {https://github.com/El3ssar/ResDAG},
  version = {0.8.0},
}

---

Citing the methods

ResDAG implements published methods. Alongside the software entry, cite the original papers for the methods your work uses.

You used	Cite
Echo State Networks (ESNLayer, any premade model)	Jaeger, The "echo state" approach to analysing and training recurrent neural networks, GMD Report 148 (2001)
ESN design and tuning practice	Lukoševičius, A Practical Guide to Applying Echo State Networks, in Neural Networks: Tricks of the Trade, Springer (2012)
State-augmented chaos architecture (ott_esn, power_augmented)	Pathak, Hunt, Girvan, Lu & Ott, Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach, Phys. Rev. Lett. 120, 024102 (2018)
Next-generation reservoir computing (NGReservoir, NGCell)	Gauthier, Bollt, Griffith & Barbosa, Next generation reservoir computing, Nat. Commun. 12, 5564 (2021)

Attribution

The squared-state architecture is colloquially called the "Ott ESN" — the citable source is Pathak et al. (2018), where Ott is the senior author, not a paper by Ott alone.