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Paper Citation Record · LEDGER

Efficient MedSAMs: Segment Anything in Medical Images on Laptop

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.16085.

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

pith.paper-citation-record.v1
2412.16085 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:39:18.365047Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T19:43:23.297891Z

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 063cd06f-0b0c-48d2-a5a7-f74ccffb7a0c · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Efficient MedSAMs: Segment Anything in Medical Images on Laptop

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:43:23.304243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:bb5c4b9c2cadddf599961f75f99a8a4d269532d3f64833b51a7ee905d5d27ae5

Observation a54a5849-f252-40b0-becd-39e4628df74e · inbound

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation cites this paper.

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation Efficient MedSAMs: Segment Anything in Medical Images on Laptop

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:46:43.208696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T04:22:26.340374Z digest=sha256:663807767d5c5dc9ea30b17c4ab727fa35c92569fc887033a83546b2aa9cc7df

Observation 8096a0c2-61d1-4260-ad18-196e9f46ef2f · inbound

ReportMedSAM: Guiding Segmentation Through Radiology Reports cites this paper.

ReportMedSAM: Guiding Segmentation Through Radiology Reports Efficient MedSAMs: Segment Anything in Medical Images on Laptop

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T14:39:18.365047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:39:18.365047Z digest=sha256:06a13312dd051a680d0050705381eb73886d187710960ec1ebdc432fd1a5f963