Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.00997.
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 2026-08-12T04:42:30.278910Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:54:44.527219Z
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 c5366fd6-a2d9-4667-8ec4-f8cfbac51261 · inbound
Referring Video Object Segmentation via Language-aligned Track Selection cites this paper.
Referring Video Object Segmentation via Language-aligned Track Selection RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:42:30.278910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5c6324e-ed1f-44bc-9d23-12fb89929b46 · inbound
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation cites this paper.
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:47:59.756198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96aa7da2-e04b-4f4b-bf52-88c1171744b1 · inbound
CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation cites this paper.
CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:54:44.531720Z
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.