Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.13697.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T19:12:16.091691Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T14:35:46.440478Z
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 63295246-971b-4355-b15f-0925dcc6a8c9 · inbound
OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.
OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T19:12:16.091691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20aa1e88-1073-4591-89e4-ad9408ba5475 · inbound
Adaptive Forensic Feature Refinement via Intrinsic Importance Perception cites this paper.
Adaptive Forensic Feature Refinement via Intrinsic Importance Perception ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:18:32.337572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ae091159-c592-4b5d-ba8f-d74d88c3b13f · inbound
Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation cites this paper.
Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T14:35:46.442637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.