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Citation notice #3876 · 2026-07-11 03:19:04.437643+00:00

Pre-trained Large Language Models Learn Hidden Markov Models In-context

Correction Crossref Open

cites Standardized and reproducible measurement of decision- making in mice.eLife, 10:e63711, 2021, which carries a correction notice dated 2022-10-19. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · bibliography line · bibliography index 26

The International Brain Laboratory, Valeria Aguillon-Rodriguez, Dora Angelaki, Hannah Bayer, Niccolo Bonacchi, Matteo Carandini, Fanny Cazettes, Gaelle Chapuis, Anne K Churchland, Yang Dan, Eric Dewitt, Mayo Faulkner, Hamish Forrest, Laura Haetzel, Michael Häusser, Sonja B Hofer, Fei Hu, Anup Khanal, Christopher Krasniak, Ines Laranjeira, Zachary F Mainen, Guido Meijer, Nathaniel J Miska, Thomas D Mrsic-Flogel, Masayoshi Murakami, Jean-Paul Noel, Alejandro Pan-Vazquez, Cyrille Rossant, Joshua Sanders, Karolina Socha, Rebecca Terry, Anne E Urai, Hernando Vergara, Miles Wells, Christian J Wilson, Ilana B Witten, Lauren E Wool, and Anthony M Zador. Standardized and reproducible measurement of decision-making in mice. eLife, 10:e63711, may 2021. ISSN 2050-084X. doi: 10.7554/eLife.63711. URL https://doi.org/10.7554/eLife.63711

02Event

Type
Correction
Source
Crossref
Original DOI
10.7554/elife.63711
Notice DOI
10.7554/elife.84310
Date
2022-10-19
Title
Correction: Standardized and reproducible measurement of decision-making in mice
Reasons
['Correction']
Work
Standardized and reproducible measurement of decision- making in mice.eLife, 10:e63711, 2021 (2021)

Schema constants (for re-runners): correction · crossref

03Dispute this notice

If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.