Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.09478.

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

pith.paper-citation-record.v1
2409.09478 v2

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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:32:50.455401Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9a7dcfb0-acc2-4238-ae36-840c890dcf6b · inbound

GRASPing Anatomy to Improve Pathology Segmentation cites this paper.

GRASPing Anatomy to Improve Pathology Segmentation From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T04:32:50.455401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113f867f-9b78-4f3b-9aff-c45cafa1c47c · inbound

Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models cites this paper.

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 4b2b569a-c65c-4551-999d-2ec4d198f344 · inbound

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

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 1dbaefa3-28ea-4797-8299-93e4f54c52ca · inbound

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization cites this paper.

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT $\unicode{x2013}$ Multitracer Multicenter Generalization From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Reference 111

Resolution: verified exact; arxiv_id, observed 2026-05-08T21:09:13.886782Z

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 cb694d6b-6ca6-43de-87e2-656ca49036fb · inbound

Improving PET/CT-Based Whole-Body Lesion Segmentation Using Prediction Uncertainty-Augmented Models cites this paper.

Improving PET/CT-Based Whole-Body Lesion Segmentation Using Prediction Uncertainty-Augmented Models From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:57:30.286000Z

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 1fc6c68a-32ed-4707-ab2c-afeaf666d215 · inbound

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning cites this paper.

RADIANT-PET: Reasoning-Augmented PET/CT Lesion Segmentation with Large Language Models and Reinforcement Learning From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:14:35.828226Z

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.