Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.02924.
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 2026-08-06T17:00:38.532996Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:56:48.082352Z
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 96e6625d-0ec3-44e1-a84a-19de2b770795 · inbound
A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming cites this paper.
A Review of Generative AI in Aquaculture: Foundations, Applications, and Future Directions for Smart and Sustainable Farming Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment
Reference 239
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:00:38.532996Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f5520be-901a-4af1-a9e8-ee5d349acc37 · inbound
AquaChat: An LLM-Guided ROV Framework for Adaptive Inspection of Aquaculture Net Pens cites this paper.
AquaChat: An LLM-Guided ROV Framework for Adaptive Inspection of Aquaculture Net Pens Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:56:48.090669Z
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 3a7d664c-1f08-4346-a9b5-d2b4b8d8a5cb · inbound
Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners cites this paper.
Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:49:02.716378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.