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Paper Citation Record · LEDGER

AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.14936.

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

pith.paper-citation-record.v1
2308.14936 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:11:55.820153Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:56:36.252476Z

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 c8a24972-8e58-4295-ba65-530782366070 · inbound

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training cites this paper.

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T14:11:55.820153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:55.820153Z digest=sha256:b1964c900cf6501a8fb55052a1cc5477f9adb081cdaab1ee3fb0737ae8c807a2

Observation 124ce880-c82d-4410-86fe-ab8f035a5488 · inbound

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation cites this paper.

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T18:20:58.659878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:20:58.659878Z digest=sha256:8f38355a25d9aa98fe083878de20194114c2e666349d0b2815750486c8325d43

Observation fb3deffc-88d2-4bea-80c8-1ed0268aac7e · inbound

Diffusion-empowered AutoPrompt MedSAM cites this paper.

Diffusion-empowered AutoPrompt MedSAM AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:56:36.258431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-09T10:56:35.822835Z digest=sha256:8359cff0a4fe05026acb4eaab2ae9574248bbfb414cb83ce795f6afdd1e2df0b