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Paper Citation Record · LEDGER

SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.14481.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2312.14481 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:56:03.813856Z

measured 0 of 1 external citation measurements

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T17:56:03.813856Z digest=sha256:b71d41c9e598f21c658174f8aa7cc46b6586f3b46d05c20b97b64f1d6e8518b8

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.

source=pdf_text observed=2026-07-13T18:24:58.428701Z digest=sha256:f686b541774221e6c61d4191e2b38d39e8170e3ebb6130133b79b99851354f5f