Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.01432.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T16:36:42.516724Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T11:56:25.345250Z
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 0465bf56-bc09-4d41-8bf0-a55d953b3d7c · inbound
Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding cites this paper.
Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T16:36:42.516724Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b421a1d4-6a35-4772-8eb9-5fc256f62e7d · inbound
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation cites this paper.
Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation Models
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T11:56:25.351094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.