The DOI matches its Crossref record.
Artificial Intelligence: Third CAAI International Conference, CICAI 2023, Fuzhou, China, July 22–23, 2023, Revised Selected Papers, Part II
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The evaluation criteria were grounded in expert feedback and existing research on quality assessment for AI-generated content.
“Grounded in expert feedback and existing research on quality assessment for AI-generated content [40, 54, 58, 61], the criteria focused on aspects such as realism, visual quality, level of detail, and creative impact”
From Understanding Creative Potential and Use Cases of AI-Generated Environments for Virtual Film Productions: Insights from Industry Professionals (2025) · cites this paper as [54]
Citations
Cited by
Sorted by citations
Leininger, P., Weber, C. J., & Rothe, S. (2025) · Proceedings of the 2025 ACM International Conference on Interactive Media Experiences · doi:10.1145/3706370.3727853 · Cited by 3
Metadata
- Authors
- Fang, L., Pei, J., Zhai, G., & Wang, R.
- Affiliations
- Tsinghua University (CN)
- Duke University (US)
- Shanghai Jiao Tong University (CN)
- Chinese Academy of Sciences (CN)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Singapore
- Published
- 2024
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4391489009
- Cited by
- 25
- References
- 0
- Citations by year
- 2026: 2 · 2024: 2
- FWCI
- 1.15
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- artificial intelligence, AI-generated content, computer vision, machine learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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