Pith. sign in

Paper Citation Record · LEDGER

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.03286.

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

pith.paper-citation-record.v1
2408.03286 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 2026-08-06T22:50:02.323903Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T19:43:23.482659Z

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 53679bac-ea13-4b95-9014-17923bd96d03 · inbound

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

On Efficient Variants of Segment Anything Model: A Survey Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-23T19:43:23.485200Z

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:f88be9fbc11b59d3a5f349d56aa71047937f2ae0dc9933e97f8ce9d030e40a32

Observation 1199619f-7d92-4b6c-a0b9-39fb0e1d9125 · inbound

AI-Driven MRI-based Brain Tumour Segmentation Benchmarking cites this paper.

AI-Driven MRI-based Brain Tumour Segmentation Benchmarking Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T22:50:02.323903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:02.323903Z digest=sha256:6a2d0257f98beb934e6164593e0a1be037804b43b3a11ee14294dee3c6420aad

Observation 380dd777-cd90-482b-a680-275aca4c058e · inbound

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation cites this paper.

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T17:58:46.807571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:58:46.807571Z digest=sha256:6a5c639f301fb088eef3c7de6af5dec69ba6f56961266b44535f4633501e9f26

Observation a0f54efe-0e60-430f-8534-404aeb2ccbb1 · inbound

Semantic Segmentation of iPS Cells: Case Study on Model Complexity in Biomedical Imaging cites this paper.

Semantic Segmentation of iPS Cells: Case Study on Model Complexity in Biomedical Imaging Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T12:37:58.081259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:37:58.081259Z digest=sha256:29a962fba09d9ce0447658c1f64b4f5e9e238389b828b6b39c70b68058adc7bd

Observation 428d72f4-fd20-4807-8928-d1d1eeeb0117 · inbound

Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models cites this paper.

Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:11:11.685032Z

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=2026-05-16T19:08:37.460895Z digest=sha256:71d83ce5cefee74a9bdaea03ec3c078b8d4831deb4abf6fdc751b9b4545b4d71

Observation 37856ed5-feea-4446-b661-a2771a49a60d · inbound

Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Work cites this paper.

Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Work Biomedical SAM 2: Segment Anything in Biomedical Images and Videos

Reference 126

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:16:12.507849Z

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=2026-05-08T06:16:16.121447Z digest=sha256:5b9c67200b5d6bb06d9d4206cefc3bb5a4c4fb3bf843266b35b11728faef10ea