Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.06211.
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 2026-08-04T17:37:43.708743Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:43:23.413178Z
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 6da0c5e3-0360-4de7-882b-0bd5687b8a70 · inbound
On Efficient Variants of Segment Anything Model: A Survey cites this paper.
On Efficient Variants of Segment Anything Model: A Survey A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:43:23.416115Z
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 b4fb4993-9de2-4886-ba1c-16366f5cc676 · inbound
SCOPE: Speech-guided COllaborative PErception Framework for Surgical Scene Segmentation cites this paper.
SCOPE: Speech-guided COllaborative PErception Framework for Surgical Scene Segmentation A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:37:43.708743Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 757b6ce0-f81f-49b4-86ad-394e0ecac6f5 · inbound
PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation cites this paper.
PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T22:32:36.129552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.