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Paper Citation Record · LEDGER

ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.07381.

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

pith.paper-citation-record.v1
2312.07381 v3

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 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:08:51.253641Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:20:24.456526Z

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 4e839a60-5900-4b88-8057-bdac0cc1ab53 · inbound

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network cites this paper.

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T15:51:33.193290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:51:33.193290Z digest=sha256:ac0686b15957f7a4bc4b8405894b0026fe2d2fa48e6fb00e698de4d59cddafbb

Observation 7f212d93-4ac9-485c-bfce-3c430b8708b6 · inbound

ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation cites this paper.

ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T23:58:55.271719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:58:55.271719Z digest=sha256:5635510800a7fce072b214a08c41c5c50b45bad018455f117ec5ae1800050302

Observation a5e1c875-fb84-46c6-a69c-9d2c547ae896 · inbound

EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation cites this paper.

EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T22:27:09.271407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:27:09.271407Z digest=sha256:e1f52671637ec5cd4a2248b2995974290e069e0189f7b31f72c666cd236ead66

Observation a17044c5-f655-4118-97b1-d4b27e9668d3 · inbound

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research cites this paper.

Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Reference 150

Resolution
unresolved
no resolver link, observed 2026-08-15T20:08:51.253641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:08:51.253641Z digest=sha256:4585f1442af4bc03d6fb18830fe192163e57e652bbb1d4f12ccf228d50dcf7fc

Observation cca2d58f-6223-4de6-ace1-5ac4f36551e4 · 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 ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:21:37.612204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:37.612204Z digest=sha256:1648e810100579a11d49ea52587afa13376724dfc8f2e88e0fab5590be095040

Observation 8d8511d4-befc-4d7d-a734-7715a3be3c29 · inbound

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking cites this paper.

Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:20:24.459119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-25T05:19:46.630941Z digest=sha256:6eec9e0a5bb3513dfe5e1d446209d9ed676e1a153f0ab1e76cf4ade7fa4478d6