Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T10:42:19.205881Z
Paper Citation Record · LEDGER
AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images
As of 15 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2604.28177.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-30T11:00:38.934700Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
3 of 3 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8276cbe4-2766-4f43-9bb0-34d89f57ed17 · outbound
This paper cites InICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1–5.
AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images InICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 1–5
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T10:44:47.452099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e90aca84-2d34-416d-82bf-fa40d260ad59 · outbound
This paper cites DINOv3.
AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images DINOv3
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:44:47.456962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f21950ad-875f-4ae6-a205-1a28ed30bd3b · outbound
This paper cites Lower FID scores indi- cate higher visual fidelity and closer alignment with real-image statistics.
AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images Lower FID scores indi- cate higher visual fidelity and closer alignment with real-image statistics
Reference 3
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-22T10:44:48.327918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation f0ca3a17-b5d9-497b-a670-2dce87a585a8 · inbound
Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection cites this paper.
Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T11:00:38.934700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.