Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.09478.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:58:30.304897Z
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 40cdcf8f-8032-40be-b6b1-1d4464571bcb · inbound
Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets cites this paper.
Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumor segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:58:30.304897Z
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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.
Observation dbef42c8-656f-4816-a7ee-33f4a1e26e34 · inbound
Foundation Model-Enabled Efficient Data Sampling (FEEDS): A label-efficient training strategy for pan-cancer, multi-tracer PET/CT datasets cites this paper.
Foundation Model-Enabled Efficient Data Sampling (FEEDS): A label-efficient training strategy for pan-cancer, multi-tracer PET/CT datasets From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:52:26.546917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.