SiBot: A hybrid framework for fine-grained semantic attribution of AI-generated text and its production deployment

Md. Sadiq Iqbal, Mohammod Abul Kashem

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DOI: 10.1371/journal.pone.0357405
Published: 2026-09-08
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0357405,
  title = {SiBot: A hybrid framework for fine-grained semantic attribution of AI-generated text and its production deployment},
  author = {Md. Sadiq Iqbal and Mohammod Abul Kashem},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0357405},
  url = {https://doi.org/10.1371/journal.pone.0357405}
}

RIS

TY  - JOUR
TI  - SiBot: A hybrid framework for fine-grained semantic attribution of AI-generated text and its production deployment
AU  - Md. Sadiq Iqbal
AU  - Mohammod Abul Kashem
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0357405
UR  - https://doi.org/10.1371/journal.pone.0357405
ER  -

APA

Iqbal, M. S., & Kashem, M. A. (2026). SiBot: A hybrid framework for fine-grained semantic attribution of AI-generated text and its production deployment. PLOS One. https://doi.org/10.1371/journal.pone.0357405

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crossref · retrieved 2026-11-10T10:41:20.356Z