Paper Citation Record · LEDGER

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT

As of 14 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2509.02402.

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

pith.paper-citation-record.v1
2509.02402 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:38:05.490129Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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 exact2
verified fuzzy4
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d406211c-bd86-4920-9ef5-b3a41c5a8723 · outbound

This paper cites Human pathology 31(5), 578--583 (2000).

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT Human pathology 31(5), 578--583 (2000)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:38:05.703790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ad3a4b6f-fde4-425b-8315-1141c556a9c0 · outbound

This paper cites Cancer 120(22), 3433--3445 (November 2014).

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT Cancer 120(22), 3433--3445 (November 2014)

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T11:38:05.568223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e35b664-0e4c-43d2-a582-3e3615648a9a · outbound

This paper cites Nature Machine Intelligence 6(11), 1396--1405 (2024).

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT Nature Machine Intelligence 6(11), 1396--1405 (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:38:05.688172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b8cb8b94-e827-49a2-b1d0-8333259da3ce · outbound

This paper cites https://doi.org/10.7937/gkr0-xv29 (2022).

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT https://doi.org/10.7937/gkr0-xv29 (2022)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:05.445685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dad785b-293a-451c-b67e-a45ca1f2c76c · outbound

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

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT Nature methods 18(2), 203--211 (2021)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:38:05.672380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8bc01305-f20e-4c5a-b954-0fdda903febc · outbound

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

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:05.455499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee44cc2e-4d0f-4013-8648-b6fcbf04f701 · outbound

This paper cites https://doi.org/10.7937/r7ep-3x37 (2024).

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT https://doi.org/10.7937/r7ep-3x37 (2024)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:05.460877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d05eb77-367a-4e72-a0c1-dad119e3c0c8 · outbound

This paper cites Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT.

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:05.465593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2b569a-c65c-4551-999d-2ec4d198f344 · outbound

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

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:05.470465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 894aca03-f171-4206-b21a-f0769bff8a35 · outbound

This paper cites Nature Reviews Cancer 23(7), 474--490 (July 2023).

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT Nature Reviews Cancer 23(7), 474--490 (July 2023)

Reference 10

Resolution: verified exact; doi, observed 2026-08-05T11:38:05.528888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aa6fdb09-faf5-499e-81a4-35f29f10a8d1 · outbound

This paper cites Radiology: Artificial Intelligence 5(5) (2023).

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT Radiology: Artificial Intelligence 5(5) (2023)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T11:38:05.656226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a87b220-679b-46c3-9e60-ab713b938352 · outbound

This paper cites , " * write output.state after.block = add.period write.

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT , " * write output.state after.block = add.period write

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:05.484910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df51690-993d-423a-93d1-b9b5e6bfb66a · outbound

This paper cites write newline.

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT write newline

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T11:38:05.490129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.