CAI Computing Power Law: A Quantitative Framework for the Tripartite Balance of Computing Power, Algorithms and Generalized Information Resources

Zhiyun Chen

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DOI: 10.21203/rs.3.rs-10517610/v1
Published: 2026-07-30
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-10517610/v1,
  title = {CAI Computing Power Law: A Quantitative Framework for the Tripartite Balance of Computing Power, Algorithms and Generalized Information Resources},
  author = {Zhiyun Chen},
  year = {2026},
  doi = {10.21203/rs.3.rs-10517610/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10517610/v1}
}

RIS

TY  - JOUR
TI  - CAI Computing Power Law: A Quantitative Framework for the Tripartite Balance of Computing Power, Algorithms and Generalized Information Resources
AU  - Zhiyun Chen
PY  - 2026
DO  - 10.21203/rs.3.rs-10517610/v1
UR  - https://doi.org/10.21203/rs.3.rs-10517610/v1
ER  -

APA

Chen, Z. (2026). CAI Computing Power Law: A Quantitative Framework for the Tripartite Balance of Computing Power, Algorithms and Generalized Information Resources. https://doi.org/10.21203/rs.3.rs-10517610/v1

Source records

crossref · retrieved 2026-09-25T22:29:20.493Z