Paper Citation Record · LEDGER

MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.06799.

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

pith.paper-citation-record.v1
2207.06799 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:51:42.893800Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:44:18.781900Z

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 b7a5ac34-b59b-4903-9be2-527aac12130b · inbound

ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition cites this paper.

ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T19:51:42.893800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 367bceae-f52c-4550-9ea0-2ee24b358aeb · inbound

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model cites this paper.

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:41:09.107000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 458407a2-cd37-4718-a655-a0db50708e57 · inbound

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model cites this paper.

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T11:21:28.561831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44c65092-22b1-4b60-8829-d46c0232b231 · inbound

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation cites this paper.

PGE-SAM: Prompt-Guided Feature Enhancement for Interactive Segmentation under Degradation MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:44:18.783222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a8e8821-1757-45f9-9b57-d6e0712bec0f · inbound

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation cites this paper.

UltraSAM3: A Concept-Driven Foundation Model for Universal Ultrasound Image Segmentation MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T11:49:58.185272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.