Paper Citation Record · LEDGER

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models

As of 6 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2606.26431.

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

pith.paper-citation-record.v1
2606.26431 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T00:36:54.446451Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

9 of 9 outbound references displayed

verified exact8
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5958971b-bf3a-4a3f-b7a3-c701495505cb · outbound

This paper cites Mammographic Density and the Risk and Detection of Breast Cancer | New England Journal of Medicine.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Mammographic Density and the Risk and Detection of Breast Cancer | New England Journal of Medicine

Reference 1

Resolution: metadata mismatch; doi, observed 2026-06-26T00:38:42.801736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c7b84915-da44-466c-aab6-9fc484518fb5 · outbound

This paper cites Constance D Lehman, Sarah Mercaldo, Leslie R Lamb, Tari A King, Leif W Ellisen, Michelle Specht, and Rulla M Tamimi.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Constance D Lehman, Sarah Mercaldo, Leslie R Lamb, Tari A King, Leif W Ellisen, Michelle Specht, and Rulla M Tamimi

Reference 2

Resolution: verified exact; doi, observed 2026-06-26T00:38:42.795519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7b7da288-da63-4966-b081-0336009ee5a2 · outbound

This paper cites Sebastian Pertuz, Lia Morra, Camila Varela, et al.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Sebastian Pertuz, Lia Morra, Camila Varela, et al

Reference 3

Resolution: verified exact; doi, observed 2026-06-26T00:38:42.805455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c896ad54-db8b-488f-9282-d7ab1530bc9a · outbound

This paper cites an unresolved cited work.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-06-26T00:38:42.799560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c28690f-4460-4b10-b6f9-877a21006bdc · outbound

This paper cites an unresolved cited work.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Unresolved cited work

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-26T00:38:42.792756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 726fe79e-2fd8-405e-9669-756822cb3f16 · outbound

This paper cites Morón-Duran, Albert Tauler, Sara C.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Morón-Duran, Albert Tauler, Sara C

Reference 6

Resolution: verified exact; doi, observed 2026-06-26T00:38:42.803610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 498190d4-ceec-4d15-9762-11ac1d9d5cf1 · outbound

This paper cites Adam Yala, Constance Lehman, Tal Schuster, Tamir Portnoi, and Regina Barzilay.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Adam Yala, Constance Lehman, Tal Schuster, Tamir Portnoi, and Regina Barzilay

Reference 7

Resolution: verified exact; doi, observed 2026-06-26T00:38:42.791060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32326a26-8c79-47e6-9019-86f640f28371 · outbound

This paper cites Alex Zwanenburg, Martin Valli`eres, Mahmoud A.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models Alex Zwanenburg, Martin Valli`eres, Mahmoud A

Reference 8

Resolution: verified exact; doi, observed 2026-06-26T00:38:42.799395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 52502671-90c3-4ba3-a595-a407d24e801a · outbound

This paper cites The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.

Revealing Mammographic Phenotypes in Deep Learning Breast Cancer Risk Models The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Reference 9

Resolution: verified exact; doi, observed 2026-06-26T00:38:42.786071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.