Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration
- DOI
- 10.48550/arxiv.2506.07647
- Published
- 2025
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
Credibility signals
limited evidence Score 41/100 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- supportingPublication license: A publication license was supplied: http://arxiv.org/licenses/nonexclusive-distrib/1.0/. 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.2506.07647,
title = {Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration},
author = {Cheng, Xiang and Liu, Boxun and Liu, Xuanyu and Liu, Ensong and Huang, Ziwei},
year = {2025},
doi = {10.48550/arxiv.2506.07647},
url = {https://doi.org/10.48550/arxiv.2506.07647}
}RIS
TY - JOUR TI - Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration AU - Cheng, Xiang AU - Liu, Boxun AU - Liu, Xuanyu AU - Liu, Ensong AU - Huang, Ziwei PY - 2025 DO - 10.48550/arxiv.2506.07647 UR - https://doi.org/10.48550/arxiv.2506.07647 ER -
APA
Xiang, C., Boxun, L., Xuanyu, L., Ensong, L., & Ziwei, H. (2025). Foundation Model Empowered Synesthesia of Machines (SoM): AI-native Intelligent Multi-Modal Sensing-Communication Integration. https://doi.org/10.48550/arxiv.2506.07647
Source records
- datacite · retrieved 2026-09-25T20:49:54.211Z