Paper Citation Record · LEDGER

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.24739.

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

pith.paper-citation-record.v1
2505.24739 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:19:13.807662Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

17 of 17 outbound references displayed

verified exact1
verified fuzzy11
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e788727-73cb-4ddb-91ee-399d0af5878d · outbound

This paper cites The human pla- centa project: placental structure, development, and function in real time.Placenta, 35(5):303–304, 2014.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI The human pla- centa project: placental structure, development, and function in real time.Placenta, 35(5):303–304, 2014

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:16.958398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8760a335-8b1a-43a6-b980-27c08103fde7 · outbound

This paper cites Placental development in normal and compromised pregnancies—a review.Placenta, 23:S119–S129, 2002.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Placental development in normal and compromised pregnancies—a review.Placenta, 23:S119–S129, 2002

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:16.768567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3b189890-c0b1-447c-b755-637fd9b6776f · outbound

This paper cites Prenatal imaging of fetal lung lesions: magnetic resonance imaging complements ultrasound.Journal of Radiology Nursing, 29(1):3–9, 2010.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Prenatal imaging of fetal lung lesions: magnetic resonance imaging complements ultrasound.Journal of Radiology Nursing, 29(1):3–9, 2010

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:16.514440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 60c102c1-6555-4fd9-8490-3a2f6b8c14e5 · outbound

This paper cites Quantitative susceptibility mapping: current status and future directions.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Quantitative susceptibility mapping: current status and future directions

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:16.222534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ab247483-a5f1-46f4-a7b0-57e6eae2c8d9 · outbound

This paper cites Feasibility of qsm in the human placenta.Magnetic Resonance in Medicine, 85(3):1272–1281, 2021.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Feasibility of qsm in the human placenta.Magnetic Resonance in Medicine, 85(3):1272–1281, 2021

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:15.980667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3944413c-be60-411b-934a-b1b2fa97b86d · outbound

This paper cites an unresolved cited work.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:19:15.679737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bcf2e7e3-7a21-4d55-9696-c2df5cb74bdc · outbound

This paper cites Segnext: Rethinking convolutional attention design for semantic segmentation.Advances in neural information processing systems, 35:1140–1156, 2022.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Segnext: Rethinking convolutional attention design for semantic segmentation.Advances in neural information processing systems, 35:1140–1156, 2022

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:12.285869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ebc11c2-56e5-41ca-b896-a40ce9981ecf · outbound

This paper cites PlaNet-S: Automatic Semantic Segmentation of Placenta.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI PlaNet-S: Automatic Semantic Segmentation of Placenta

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:19:14.137986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e331029-228c-479d-acb6-d75a0a9678f1 · outbound

This paper cites Placental t2* as a measure of placental function across field strength from 0.55 t to 3t.Scientific Reports, 14(1):28594, 2024.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Placental t2* as a measure of placental function across field strength from 0.55 t to 3t.Scientific Reports, 14(1):28594, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:15.500587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4422145d-e82d-4f29-8682-ea235013587a · outbound

This paper cites Masked autoencoders are scalable vision learners.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Masked autoencoders are scalable vision learners

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:12.700735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec8eeb0-30d6-4316-87aa-c1f26ad4fff4 · outbound

This paper cites Mapseg: Unified unsupervised domain adaptation for heterogeneous medical image segmentation based on 3d masked autoencoding and pseudo-labeling.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Mapseg: Unified unsupervised domain adaptation for heterogeneous medical image segmentation based on 3d masked autoencoding and pseudo-labeling

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:15.315854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a63521d6-f500-4853-8a79-9900747cdcd8 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:13.007115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da9ac537-a864-4d9e-a826-f4c0d25ae041 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI U-net: Convolutional networks for biomedical image segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:15.099492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41f36277-6138-4c0b-afa4-34298c5cad26 · outbound

This paper cites Unet++: A nested u-net architecture for medical image segmentation.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Unet++: A nested u-net architecture for medical image segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:14.793114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa38c92b-a771-4494-9ae7-de57d8b5fbaf · outbound

This paper cites Linknet: Exploiting encoder represen- tations for efficient semantic segmentation.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Linknet: Exploiting encoder represen- tations for efficient semantic segmentation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:14.496447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f235426-98b8-4cbf-b968-2fabbd10c1b5 · outbound

This paper cites Feature pyramid networks for object detection.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI Feature pyramid networks for object detection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:19:13.648498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 895f461d-8a2c-428a-acea-006806b30493 · outbound

This paper cites nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021.

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI nnu-net: a self-configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:19:14.294750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.