Citation notice #7864 · 2026-07-15 06:31:00.784129+00:00

Training-Free Generation of Protein Sequences from Small Family Alignments via Stochastic Attention

Correction Crossref Open

cites Efficient generative modeling of protein sequences using simple autoregressive models.Nature Communications, 12:5800, 2021, which carries a correction notice dated 2022-04-01. 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 9

Jeanne Trinquier, Guido Uguzzoni, Andrea Pagnani, Francesco Zamponi, and Martin Weigt. Efficient generative modeling of protein sequences using simple autoregressive models.Nature Communications, 12:5800, 2021. doi: 10.1038/s41467-021-25756-4

02Event

Type: Correction
Source: Crossref
Original DOI: 10.1038/s41467-021-25756-4
Notice DOI: 10.1038/s41467-022-29593-x
Date: 2022-04-01
Title: Author Correction: Efficient generative modeling of protein sequences using simple autoregressive models
Reasons: ['Correction']
Work: Efficient generative modeling of protein sequences using simple autoregressive models.Nature Communications, 12:5800, 2021 (2021) Nature Communications

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.