A Fast and Scalable Transformer Pipeline for Binary Black Hole Detection
- DOI
- 10.48550/arxiv.2609.00339
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- supportingOpen access status: Normalized open-access status: open.
- supportingPublication license: A publication license was supplied: https://creativecommons.org/licenses/by/4.0/legalcode. Presence improves reuse transparency, not research validity.
- cautionPublication version: Identified as a preprint; peer review and later versions may change the record.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2609.00339,
title = {A Fast and Scalable Transformer Pipeline for Binary Black Hole Detection},
author = {Chatterjee, Chayan and Petulante, Abigail and Fu, Haowei and Hu, Yang and Lau, Roy and Jani, Karan},
year = {2026},
doi = {10.48550/arxiv.2609.00339},
url = {https://doi.org/10.48550/arxiv.2609.00339}
}RIS
TY - JOUR TI - A Fast and Scalable Transformer Pipeline for Binary Black Hole Detection AU - Chatterjee, Chayan AU - Petulante, Abigail AU - Fu, Haowei AU - Hu, Yang AU - Lau, Roy AU - Jani, Karan PY - 2026 DO - 10.48550/arxiv.2609.00339 UR - https://doi.org/10.48550/arxiv.2609.00339 ER -
APA
Chayan, C., Abigail, P., Haowei, F., Yang, H., Roy, L., & Karan, J. (2026). A Fast and Scalable Transformer Pipeline for Binary Black Hole Detection. https://doi.org/10.48550/arxiv.2609.00339
Source records
- datacite · retrieved 2026-09-25T15:51:32.454Z