Citation notice #4997 · 2026-07-11 03:19:08.722131+00:00
PepsiCo Deploys AI-Driven Pricing and Promotion Optimization at Scale
cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, which carries a correction notice dated 2020-03-04. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.
Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes
01Evidence
Raw extraction · bibliography line · bibliography index 47
Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, Burovski E, Peterson P, Weckesser W, Bright J, van der Walt SJ, Brett M, Wilson J, Millman KJ, Mayorov N, Nelson ARJ, Jones E, Kern R, Larson E, Carey CJ, Polat \.I , Feng Y, Moore EW, VanderPlas J, Laxalde D, Perktold J, Cimrman R, Henriksen I, Quintero EA, Harris CR, Archibald AM, Ribeiro AH, Pedregosa F, van Mulbregt P, SciPy 10 Contributors (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python . Nature Methods 17:261--272, ://dx.doi.org/10.1038/s41592-019-0686-2
Parser render (TeX stripped for reading; raw above is the evidence)
Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D, Burovski E, Peterson P, Weckesser W, Bright J, van der Walt SJ, Brett M, Wilson J, Millman KJ, Mayorov N, Nelson ARJ, Jones E, Kern R, Larson E, Carey CJ, Polat .I, Feng Y, Moore EW, VanderPlas J, Laxalde D, Perktold J, Cimrman R, Henriksen I, Quintero EA, Harris CR, Archibald AM, Ribeiro AH, Pedregosa F, van Mulbregt P, SciPy 10 Contributors (2020) SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python . Nature Methods 17:261--272, ://dx.doi.org/10.1038/s41592-019-0686-2
02Event
- Type
- Correction
- Source
- Crossref
- Original DOI
- 10.1038/s41592-019-0686-2
- Notice DOI
- 10.1038/s41592-020-0772-5
- Date
- 2020-03-04
- Title
- Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python
- Reasons
- ['Correction']
- Work
- SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python (2020) Nature Methods
03Dispute this notice
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