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Paper Citation Record · LEDGER

Automated head and neck tumor segmentation from 3D PET/CT

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.10809.

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

pith.paper-citation-record.v1
2209.10809 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:01:02.631592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:06:07.628351Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 271eae80-6268-4029-94ac-f2c5668e2251 · inbound

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy cites this paper.

Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy Automated head and neck tumor segmentation from 3D PET/CT

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T15:01:02.631592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:01:02.631592Z digest=sha256:a2e36fbd86c459d153860a7a0fcd64620a87d52320afbec6e54613c30fd9aed4

Observation 140bb68e-810b-4bc9-af0d-68a0c89dd57c · inbound

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer cites this paper.

AMO-ENE: Attention-based Multi-Omics Fusion Model for Outcome Prediction in Extra Nodal Extension and HPV-associated Oropharyngeal Cancer Automated head and neck tumor segmentation from 3D PET/CT

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:06:07.706936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:18:05.760441Z digest=sha256:14707b5788b50a85d73d4b4bd8d9bdc84c773a96da71e0e508c09d46e6567fed