Paper Citation Record · LEDGER

Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.12889.

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

pith.paper-citation-record.v1
2408.12889 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:10:44.927618Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:43:23.418714Z

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 639d5d32-0df1-4cdc-b5bd-dd262ce56583 · inbound

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

On Efficient Variants of Segment Anything Model: A Survey Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.421897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 033235cd-4951-4c8d-b6a9-2e2b1ed95e66 · inbound

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain cites this paper.

Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:03.109251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be9c375-a0f3-43c6-89cb-ac4580fc3eda · inbound

Segment Any RGB-Thermal Model with Language-aided Distillation cites this paper.

Segment Any RGB-Thermal Model with Language-aided Distillation Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.927618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b3b63df-f6a6-4ea6-890e-800df09029ba · inbound

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models cites this paper.

Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation Models Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:17.260885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56926d1-9266-4eeb-b9bb-042ab5479cf2 · inbound

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus cites this paper.

SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:37.172350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35fe274d-02e8-4f84-8849-4b9cf06b25d5 · inbound

Organoid Tracker: A SAM2-Powered Platform for Zero-shot Cyst Analysis in Human Kidney Organoid Videos cites this paper.

Organoid Tracker: A SAM2-Powered Platform for Zero-shot Cyst Analysis in Human Kidney Organoid Videos Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T17:10:48.924038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62538aad-0a3a-4f87-bc20-65f32cb2c62e · inbound

Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation cites this paper.

Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:00:58.826021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.