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Paper Citation Record · LEDGER

Enhancing Prostate Cancer Segmentation for Multi-Domain Generalization using a novel Parallel-Route Coherent Mixup Regularization Training

As of 20 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2607.00370.

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

pith.paper-citation-record.v1
2607.00370 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T04:53:22.001699Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

3 of 3 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f755f3d2-5aac-485d-8868-f813bf55c0f9 · outbound

This paper cites SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model,.

Enhancing Prostate Cancer Segmentation for Multi-Domain Generalization using a novel Parallel-Route Coherent Mixup Regularization Training SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model,

Reference 1

Resolution
verified exact
doi, observed 2026-07-02T04:56:38.135898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T04:53:22.001699Z digest=sha256:974bae8b7e655caef3c64751d3e140cf5ab99c99a91905e9d01e1a3383610c93

Observation d9cc5060-6ed5-481a-be15-ac86a73ca806 · outbound

This paper cites Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer,.

Enhancing Prostate Cancer Segmentation for Multi-Domain Generalization using a novel Parallel-Route Coherent Mixup Regularization Training Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer,

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:56:38.123522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T04:53:22.001699Z digest=sha256:1b6fc0780ef2f4d151c865625acbb746113e853598cfa16fb70e4a23583bc51d

Observation 6e6d5ec4-a94d-41a3-a80c-8276595e4cb1 · outbound

This paper cites Zhang, X.

Enhancing Prostate Cancer Segmentation for Multi-Domain Generalization using a novel Parallel-Route Coherent Mixup Regularization Training Zhang, X

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T04:56:38.132715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T04:53:22.001699Z digest=sha256:5659730d97b8f84ba2a1fe8585515f0fca61cbd1b937600373857a0cb51938ec

Pith citing papers

No inbound Pith citation observations are available.