Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.20020.
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 2026-08-10T20:22:20.051800Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:11:00.526303Z
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 d714f3d6-24cb-4c4e-b5cb-5c2d64c5aea6 · inbound
Few-Shot Learner Generalizes Across AI-Generated Image Detection cites this paper.
Few-Shot Learner Generalizes Across AI-Generated Image Detection ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:22:20.051800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 876e38e3-c78a-4bd9-a88e-6c90b3b54d7e · inbound
VisionTrap: Unanswerable Questions On Visual Data cites this paper.
VisionTrap: Unanswerable Questions On Visual Data ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:57:08.146902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a20384a-724e-45f8-9152-b44a46db50e4 · inbound
Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples cites this paper.
Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:44:07.282736Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41284de1-7ede-4c3f-9015-4ddcd3fccc36 · inbound
SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits cites this paper.
SEED: A Large-Scale Benchmark for Provenance Tracing in Sequential Deepfake Facial Edits ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:11:00.531650Z
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.