Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.14481.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:56:35.869254Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:56:04.123312Z
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 0d57302d-f6de-4bbc-9053-1a9412ce4deb · inbound
Diffusion-empowered AutoPrompt MedSAM cites this paper.
Diffusion-empowered AutoPrompt MedSAM SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:56:35.869254Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10715ede-db99-4703-8881-a371319c2727 · inbound
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges cites this paper.
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:56:04.127348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e1c8a4d4-2673-41ab-8dcf-ad10820f5e67 · inbound
ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis cites this paper.
ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T18:24:58.428701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.