Paper Citation Record · LEDGER

Interactive 3D Medical Image Segmentation with SAM 2

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.02635.

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

pith.paper-citation-record.v1
2408.02635 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:48.066282Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:43:23.564504Z

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 a481596e-b91a-4cb6-874a-0fda5ec1f9b4 · inbound

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

On Efficient Variants of Segment Anything Model: A Survey Interactive 3D Medical Image Segmentation with SAM 2

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.567966Z

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.

Observation 97edf598-3b65-4d5c-b998-e277b7cbe57f · inbound

Segment Any-Quality Images with Generative Latent Space Enhancement cites this paper.

Segment Any-Quality Images with Generative Latent Space Enhancement Interactive 3D Medical Image Segmentation with SAM 2

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:47:15.706149Z

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.

Observation fbf7bd2b-ea2d-421b-91e2-5f3cd2f63bf8 · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence Interactive 3D Medical Image Segmentation with SAM 2

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T15:34:57.653180Z

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.

Observation 6367c98a-127d-4bb1-8f02-dc5c67f8f2ba · inbound

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost cites this paper.

SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost Interactive 3D Medical Image Segmentation with SAM 2

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:52:48.066282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050f7f06-0242-40cd-b077-acce4659656f · inbound

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement cites this paper.

Towards Any-Quality Image Segmentation via Generative and Adaptive Latent Space Enhancement Interactive 3D Medical Image Segmentation with SAM 2

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-16T18:13:13.249177Z

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.

Observation f1f2ce58-1f26-4268-bde0-92162e36a254 · inbound

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens cites this paper.

SAMRI-3D: Adapting SAM2 for 3D MRI Segmentation with Global Volume Tokens Interactive 3D Medical Image Segmentation with SAM 2

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T16:27:27.818561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.