Journal article · 2026
Many AI analysts, one dataset: Navigating the agentic data science multiverse
| Venue | Proceedings of the National Academy of Sciences |
|---|---|
| DOI | 10.1073/pnas.2606495123 |
| URL | https://doi.org/10.1073/pnas.2606495123 |
| Topics | ReplicHAI / Agent & LLM run-to-run variability ReplicHAI / Cited in CHI 2027 draft |
| Tags | replichai |
| citationKey | bertran2026manyai |
| issue | 29 |
| libraryCatalog | background/bib/bib-q1q2.bib, chi2027/paper/refs.bib |
| pages | e2606495123 |
| volume | 123 |
BibTeX
@article{bertran2026manyai,
title = {Many {AI} analysts, one dataset: {Navigating} the agentic data science multiverse},
volume = {123},
url = {https://doi.org/10.1073/pnas.2606495123},
doi = {10.1073/pnas.2606495123},
number = {29},
journal = {Proceedings of the National Academy of Sciences},
author = {Bertran, Martin and Fogliato, Riccardo and Wu, Zhiwei Steven},
year = {2026},
keywords = {replichai},
pages = {e2606495123},
}