Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.11541.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:02.118687Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T23:34:26.505856Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f1173338-d532-45ff-a7ed-15eabc914c55 · inbound
Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters? cites this paper.
Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters? Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:34:26.507578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 06ebf391-d7f0-49e3-8c04-bf0b58274439 · inbound
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios cites this paper.
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:37:02.118687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.