Paper Citation Record · LEDGER

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2508.21680.

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

pith.paper-citation-record.v1
2508.21680 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:08:52.959544Z

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 exact1
verified fuzzy4
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9623a4c5-c435-4147-a0ff-43bd2871e687 · outbound

This paper cites JGNIHEP5, https://doi.org/10.7937/K9/TCIA.2016.JGNIHEP5, data set.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models JGNIHEP5, https://doi.org/10.7937/K9/TCIA.2016.JGNIHEP5, data set

Reference 1

Resolution: verified exact; doi, observed 2026-08-05T14:08:53.268424Z

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 c639b7b4-801f-4b59-9598-5fac4a92f220 · outbound

This paper cites Scientific data5(1), 1–9 (2018).

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models Scientific data5(1), 1–9 (2018)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:08:54.867758Z

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 2a2ea702-ef60-462a-b645-02bd2afac02a · outbound

This paper cites an unresolved cited work.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:08:54.634096Z

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 22bfc6e2-66dc-4591-918e-595f9e5dab13 · outbound

This paper cites an unresolved cited work.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T14:08:51.863418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b20b4d-a843-4256-8055-94b3ec711f8d · outbound

This paper cites Nature methods 18(2), 203–211 (2021).

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models Nature methods 18(2), 203–211 (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:08:54.104513Z

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 cbe464b6-8207-45d7-b2f7-a03aba7c5ef1 · outbound

This paper cites nnInteractive: Redefining 3D Promptable Segmentation.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models nnInteractive: Redefining 3D Promptable Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T14:08:52.173807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f88ebc47-b9c7-43a3-ac02-2d2a56611620 · outbound

This paper cites nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:08:52.355918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d7529c-8abe-46d5-a0b8-268cdc56d990 · outbound

This paper cites https://doi.org/10.7937/r7ep-3x37 (2024), the Cancer Imaging Archive.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models https://doi.org/10.7937/r7ep-3x37 (2024), the Cancer Imaging Archive

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:08:52.502408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7430540e-d5cb-473f-9b24-a09ee57fa0c0 · outbound

This paper cites Segment Anything.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models Segment Anything

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:08:52.592336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c6c96e-0479-4d5f-aa4e-f66de0c90788 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:08:53.827171Z

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 113f867f-9b78-4f3b-9aff-c45cafa1c47c · outbound

This paper cites From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:08:52.826145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6887f19d-c230-47d5-9324-2f45eb0ddcdf · outbound

This paper cites In: Inter- national Conference on Medical Image Computing and Computer-Assisted Inter- vention.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models In: Inter- national Conference on Medical Image Computing and Computer-Assisted Inter- vention

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:08:53.567854Z

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 318d62a8-4aba-4c79-a9fc-ef127b2dbbaa · outbound

This paper cites an unresolved cited work.

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models Unresolved cited work

Reference 617

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:08:54.388325Z

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.

Pith citing papers

No inbound Pith citation observations are available.