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| Comments: | 28 pages, 6 figures, Journal Submission (Finance/Accounting & Computer Science Interdiscipline), 6 tables, 40 references, trimodal benchmark (88,412 firm-quarter observations) and end-to-end multimodal detection framework for corporate AI-washing |
| Subjects: | Computers and Society (cs.CY); Artificial Intelligence (cs.AI) |
| MSC classes: | 68T05, 68T45, 91B60, 91B82, 62P20 |
| ACM classes: | F.2.2; I.2.7; I.5.4; K.4.4; G.3 |
| Cite as: | arXiv:2604.09644 [cs.CY] |
| (or arXiv:2604.09644v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2604.09644 arXiv-issued DOI via DataCite |
From: Zhanjie Wen [view email]
[v1]
Tue, 24 Mar 2026 01:30:36 UTC (1,215 KB)
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