Paper Citation Record · LEDGER

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.00499.

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

pith.paper-citation-record.v1
2306.00499 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:39:08.800114Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:54:40.678248Z

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 72375e1a-fe67-475f-bc23-2c927b3b7f1a · inbound

Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images cites this paper.

Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:39:08.800114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3b5974-2bdc-4266-9c78-203201690740 · inbound

VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with Language cites this paper.

VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with Language DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:12.703218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9bf5461-f685-4f54-aa89-09c7f50d58b4 · inbound

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:24.780751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b2d5209-9f4b-4426-a4b5-b39643efa823 · inbound

CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning cites this paper.

CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:54:40.737497Z

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.