A Review of Deep-learning-based Seismic Data Denoising and Its Promising Paradigm Shift to Foundation Models
- DOI
- 10.21203/rs.3.rs-11188693/v1
- Published
- 2026-10-23
- Container
- Not recorded
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.21203/rs.3.rs-11188693/v1,
title = {A Review of Deep-learning-based Seismic Data Denoising and Its Promising Paradigm Shift to Foundation Models},
author = {Xintong Dong and Zhengyi Yuan and Changxin Wei and Wenshuo Yu and Shiqi Dong and Jun Lin},
year = {2026},
doi = {10.21203/rs.3.rs-11188693/v1},
url = {https://doi.org/10.21203/rs.3.rs-11188693/v1}
}RIS
TY - JOUR TI - A Review of Deep-learning-based Seismic Data Denoising and Its Promising Paradigm Shift to Foundation Models AU - Xintong Dong AU - Zhengyi Yuan AU - Changxin Wei AU - Wenshuo Yu AU - Shiqi Dong AU - Jun Lin PY - 2026 DO - 10.21203/rs.3.rs-11188693/v1 UR - https://doi.org/10.21203/rs.3.rs-11188693/v1 ER -
APA
Dong, X., Yuan, Z., Wei, C., Yu, W., Dong, S., & Lin, J. (2026). A Review of Deep-learning-based Seismic Data Denoising and Its Promising Paradigm Shift to Foundation Models. https://doi.org/10.21203/rs.3.rs-11188693/v1
Source records
- crossref · retrieved 2026-11-10T14:42:23.663Z