A Max-Flow Approach to Random Tensor Networks.

Fitter K, Loulidi F, Nechita I

Open source

DOI
10.3390/e27070756
Published
2025 Jul 15
Container
Entropy (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/e27070756,
  title = {A Max-Flow Approach to Random Tensor Networks.},
  author = {Fitter K and Loulidi F and Nechita I},
  year = {2025},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e27070756},
  url = {https://doi.org/10.3390/e27070756}
}

RIS

TY  - JOUR
TI  - A Max-Flow Approach to Random Tensor Networks.
AU  - Fitter K
AU  - Loulidi F
AU  - Nechita I
PY  - 2025
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e27070756
UR  - https://doi.org/10.3390/e27070756
ER  - 

APA

K, F., F, L., & I, N. (2025). A Max-Flow Approach to Random Tensor Networks.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e27070756

Source records