Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-03T03:54:29.562445Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.02127.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-03T03:54:29.562445Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
12 of 12 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 988e4bdf-36ed-4121-b669-e07b4b21ebc0 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Savenije, Frederik R
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1f38f18d-fb01-4182-8c5d-0611aafaca19 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Alnajjar, Andrea Salonia, and Asif Muneer
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 332bb269-362c-4826-aad5-13c9a51b57f5 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Towards popula- tion scale testis volume segmentation in DIXON MRI.Com- puters in Biology and Medicine, 198(Pt A):111139, 2025
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5439f06e-1963-40d8-924e-0c6fe39e810b · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Miller, Steve Pieper, and Ron Kikinis
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1ea39198-fe45-44b4-bde0-f47a693c65ab · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health M ¨oller, Matan Atad, Henry V ¨olzke, Robin B ¨ulow, Carsten Oliver Schmidt, Ju- lia R ¨udebusch, Matthias Jung, Marco Reisert, Jakob Weiss, Maximilian T
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bf4d29ab-2e4d-490c-b62f-36a6f6c44a94 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Management of disorders of sex de- velopment.Nature Reviews Endocrinology, 10(9):520–529, 09 2014
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3d239a76-886d-498e-bdc5-532dd0358ed6 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Jaeger, Simon A
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 13d9ac55-107d-493a-8fba-ae98c07a1086 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Mehta, Ranjit K
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d13b0f95-4332-46a7-92c1-f44d269e7954 · outbound
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fd7e211d-4642-4f3c-a042-10b04fbf3965 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Unresolved cited work
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ab43c18-4053-450b-84c9-bb0a5555a2fc · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Am i normal? a systematic review and con- struction of nomograms for flaccid and erect penis length and circumference in up to 15 521 men.BJU International, 115(6):978–986, 2015
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7d04c320-470a-4d6d-ad78-4bf210a9a8f5 · outbound
Population-Scale Segmentation of Penile Tissue in DIXON MRI using Deep Learning for Quantitative Phenotyping in Male Reproductive Health Bell, Magnus Borga, and Louise Thomas
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
No inbound Pith citation observations are available.