Paper Citation Record · LEDGER

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.07730.

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

pith.paper-citation-record.v1
2507.07730 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:38:40.625326Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy2
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0d6d037-1c25-4f9f-9f74-2ee3474a881d · outbound

This paper cites Nature communications 13(1), 4128 (2022).

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Nature communications 13(1), 4128 (2022)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:38.753226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac28a482-7a21-4a61-977b-8fe69b9d03c8 · outbound

This paper cites SegVol: Universal and Interactive Volumetric Medical Image Segmentation.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging SegVol: Universal and Interactive Volumetric Medical Image Segmentation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:38.888911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ed9edf-53b7-4913-8440-b12ab485b873 · outbound

This paper cites The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:38:40.840547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 20ca2807-f06c-47fb-adcc-beee34ffa260 · outbound

This paper cites an unresolved cited work.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:38:41.218570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7292dd46-7e1d-4123-82be-d4a7d9d1a85c · outbound

This paper cites Nature methods18(2), 203–211 (2021).

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Nature methods18(2), 203–211 (2021)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:39.416694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4b63193-27d4-4958-b688-87b758391646 · outbound

This paper cites nnInteractive: Redefining 3D Promptable Segmentation.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging nnInteractive: Redefining 3D Promptable Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:39.531945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529b073a-c5d9-47eb-9c1b-35516e75095d · outbound

This paper cites Advances in neural information processing systems35, 36722–36732 (2022).

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Advances in neural information processing systems35, 36722–36732 (2022)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:41.087969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9171a09-33fc-46a5-93db-8f27f8b10ba9 · outbound

This paper cites RadSAM: Segmenting 3D radiological images with a 2D promptable model.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging RadSAM: Segmenting 3D radiological images with a 2D promptable model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:39.918277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bbda8d-448b-419f-a1f8-f170911ea077 · outbound

This paper cites Segment Anything.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Segment Anything

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:40.109664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd1d8b72-bb2a-4cc0-bc39-9b2bb6a6aab7 · outbound

This paper cites Medical Image Analysis97, 103285 (2024).

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Medical Image Analysis97, 103285 (2024)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:38:40.951389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be6e9c10-f797-42d6-92d2-e89b48101a05 · outbound

This paper cites SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:40.457448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e5a7d7-7a71-4e37-b9b3-2acf8b19ec8c · outbound

This paper cites Radiology: Artificial Intelligence5(5) (Sep 2023).

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Radiology: Artificial Intelligence5(5) (Sep 2023)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:40.552208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cb9b5c1-eafc-4a10-8fda-832773febfc4 · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

RAPS-3D: Efficient interactive segmentation for 3D radiological imaging Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:38:40.625326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.