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Paper Citation Record · LEDGER

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.16793.

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

pith.paper-citation-record.v1
2607.16793 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:01:26.159647Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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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

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 668b3602-bbec-4303-9653-5426bb13adb5 · outbound

This paper cites Risk Factors and Preventions of Breast Cancer.International Journal of Biological Sciences.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Risk Factors and Preventions of Breast Cancer.International Journal of Biological Sciences

Reference 1

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Observation e2824825-649a-4309-81a1-9f6938b2d56c · outbound

This paper cites Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

Reference 2

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Observation bae78c7d-9166-473a-bda5-42a544e16dfd · outbound

This paper cites GLOBOCAN 2020: Breast Cancer Data Visualization Tool.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework GLOBOCAN 2020: Breast Cancer Data Visualization Tool

Reference 3

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Observation 06daac57-73f6-4be3-9d01-3c6da1f5e75c · outbound

This paper cites Comparison of supplemental breast cancer imaging techniques-interim results from the BRAID randomised controlled trial.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Comparison of supplemental breast cancer imaging techniques-interim results from the BRAID randomised controlled trial

Reference 4

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Source-reported events for the cited work

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Observation 28132230-75f0-4a09-abaa-69f9db919bda · outbound

This paper cites Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.Annals of Internal Medicine.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.Annals of Internal Medicine

Reference 5

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Observation af497118-4885-442d-8104-93c90b173848 · outbound

This paper cites High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer

Reference 6

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Observation e961dee9-636a-4900-81a1-3fc2fff3a64d · outbound

This paper cites Mammographic breast density: effect on imaging and breast cancer risk.Journal of the National Comprehensive Cancer Network.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Mammographic breast density: effect on imaging and breast cancer risk.Journal of the National Comprehensive Cancer Network

Reference 7

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Observation 0154803e-8365-458b-9658-a5754c303872 · outbound

This paper cites Mammographic density and breast cancer risk: current understanding and future prospects.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Mammographic density and breast cancer risk: current understanding and future prospects

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b528edc3-82ba-48fd-b7f7-49a0861ec7b9 · outbound

This paper cites Mammographic density and the risk and detection of breast cancer.The New England Journal of Medicine.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Mammographic density and the risk and detection of breast cancer.The New England Journal of Medicine

Reference 9

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Observation 4a9aafda-aaa7-4c6f-aeaa-0b4f4f7b106c · outbound

This paper cites An overview of mammographic density and its association with breast cancer.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework An overview of mammographic density and its association with breast cancer

Reference 10

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Observation aa224663-d7db-40a8-8f66-84af16623692 · outbound

This paper cites The impact of changes in breast density over time on breast cancer risk.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework The impact of changes in breast density over time on breast cancer risk

Reference 11

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Source-reported events for the cited work

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Observation 6c1ac438-eae4-4070-ba3e-8644f335ae83 · outbound

This paper cites Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 37a6c1ad-6640-4b05-98df-5fd97325529f · outbound

This paper cites Derived mammographic masking measures based on simulated lesions predict the risk of interval cancer after controlling for known risk factors: a case-case analysis.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Derived mammographic masking measures based on simulated lesions predict the risk of interval cancer after controlling for known risk factors: a case-case analysis

Reference 13

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Observation 378c2349-7356-421e-b863-1a18ef694116 · outbound

This paper cites Breast density effect on the sensitivity of digital screening mammography in a UK cohort.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Breast density effect on the sensitivity of digital screening mammography in a UK cohort

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b85bdd24-128c-46d7-b9a5-75e25e200c02 · outbound

This paper cites Breast Cancer in Dense Breasts: Detection Challenges and Supplemental Screening Opportunities.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Breast Cancer in Dense Breasts: Detection Challenges and Supplemental Screening Opportunities

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c3a3a888-13f4-424b-b315-dc66087a31e5 · outbound

This paper cites Breast density as a predictor of mammographic detection: comparison of interval- and screen- detected cancers.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Breast density as a predictor of mammographic detection: comparison of interval- and screen- detected cancers

Reference 16

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Source-reported events for the cited work

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Observation 024d7e9d-5a5a-4c1c-a443-8a3dcafa178c · outbound

This paper cites Extremely dense breasts: A comprehensive review of increased cancer risk and supplementary screening methods.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Extremely dense breasts: A comprehensive review of increased cancer risk and supplementary screening methods

Reference 17

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Observation d17efd07-289c-4565-827e-2ae0fe9c8741 · outbound

This paper cites Longitudinal data subject to irregular observation: A review of methods with a focus on visit processes, assumptions, and study design.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Longitudinal data subject to irregular observation: A review of methods with a focus on visit processes, assumptions, and study design

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 94d0bdf9-a11c-40f0-bd82-690745489b5d · outbound

This paper cites Irregular screening participation increases advanced stage breast cancer at diagnosis: A population-based study.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Irregular screening participation increases advanced stage breast cancer at diagnosis: A population-based study

Reference 19

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 650b33dd-72c3-446a-bfc9-07be53053949 · outbound

This paper cites an unresolved cited work.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 7ff1daf1-3647-4abf-b1ac-161195b1c453 · outbound

This paper cites Joint Models for Longitudinal and Time-to-Event Data: With Applications in R.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Joint Models for Longitudinal and Time-to-Event Data: With Applications in R

Reference 21

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Observation 058ace87-fe54-4565-b179-13f827df0351 · outbound

This paper cites Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Mixed-effects models for health care longitudinal data with an informative visiting process: A Monte Carlo simulation study

Reference 22

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Observation f6b58530-b99d-47ef-9ad1-55d90e5349ef · outbound

This paper cites Doubly robust estimation, optimally truncated inverse-intensity weighting and increment-based methods for the analysis of irregularly observed longitudinal data.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Doubly robust estimation, optimally truncated inverse-intensity weighting and increment-based methods for the analysis of irregularly observed longitudinal data

Reference 23

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correction dated 2013-08-23. Source: crossref record 10.1002/sim.5952->10.1002/sim.5640:correction, observed 2026-07-11T03:02:38.161364+00:00. This notice travels one citation hop only.

source=pdf_text observed=2026-08-01T20:01:23.958122Z digest=sha256:a9e89b92f7f6bf453668d24725c6307b548c7d6350a67760a0cf8267c284d3da

Observation f7461c4b-f9a6-43e1-b900-b9bd2f6e81d3 · outbound

This paper cites Artificial intelligence in clinical research of cancers.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Artificial intelligence in clinical research of cancers

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e22a5f36-ebb1-48de-827c-08598bdeb7bb · outbound

This paper cites Breast Cancer Prediction Using Deep Learning and Machine Learning Techniques.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Breast Cancer Prediction Using Deep Learning and Machine Learning Techniques

Reference 25

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Observation 936751f4-03ab-4e9c-aea5-cbe2b4211b3b · outbound

This paper cites Prediction of Breast Cancer using Machine Learning Approaches.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Prediction of Breast Cancer using Machine Learning Approaches

Reference 26

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Source-reported events for the cited work

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Observation 39c9d9b8-4d27-45c0-b2aa-42a8b5a10d2c · outbound

This paper cites Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques

Reference 27

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Observation 49ed6ff5-3553-4a2a-a153-a8b5be9d210f · outbound

This paper cites Breast Cancer Malignancy Prediction Using Deep Learning Neural Networks.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Breast Cancer Malignancy Prediction Using Deep Learning Neural Networks

Reference 28

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Observation 8e560694-cd09-4071-a756-4339fde132cd · outbound

This paper cites International evaluation of an AI system for breast cancer screening.Nature.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework International evaluation of an AI system for breast cancer screening.Nature

Reference 29

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Observation a6eb0a22-f07f-4de7-8967-df00a9a28f49 · outbound

This paper cites Latent Markov Models for Longitudinal Data.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Latent Markov Models for Longitudinal Data

Reference 30

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Source-reported events for the cited work

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Observation 7b35d972-2ba9-4d89-8dc0-61333cc15a8d · outbound

This paper cites Mammographic density and risk of breast cancer.American Society of Clinical Oncology Educational Book.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Mammographic density and risk of breast cancer.American Society of Clinical Oncology Educational Book

Reference 31

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9b205021-596a-4c4a-aa42-8c84922304af · outbound

This paper cites Obesity and Breast Cancer Risk: The Oncogenic Implications of Metabolic Dysregulation.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Obesity and Breast Cancer Risk: The Oncogenic Implications of Metabolic Dysregulation

Reference 32

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8af23632-b3c8-47e8-8124-efe0d85f12de · outbound

This paper cites The impact of body mass index on breast cancer incidence among women at increased risk: an observational study from the International Breast Intervention Studies.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework The impact of body mass index on breast cancer incidence among women at increased risk: an observational study from the International Breast Intervention Studies

Reference 33

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Observation ec96479d-07fd-4e80-9164-475b4801b537 · outbound

This paper cites Adult weight gain, fat distribution and mammographic density in Spanish pre- and post-menopausal women (DDM-Spain).

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Adult weight gain, fat distribution and mammographic density in Spanish pre- and post-menopausal women (DDM-Spain)

Reference 34

Resolution
verified exact
doi, observed 2026-08-01T20:03:21.353319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:01:25.369285Z digest=sha256:210f5b822028795a807aeab584a27a9495d370c09a487cfa28abfb7efc047e19

Observation aa78f657-ab0a-4617-b51a-220820b009f8 · outbound

This paper cites Association of the Interaction Between Mammographic Breast Density, Body Mass Index, and Menopausal Status With Breast Cancer Risk Among Korean Women.JAMA Network Open.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Association of the Interaction Between Mammographic Breast Density, Body Mass Index, and Menopausal Status With Breast Cancer Risk Among Korean Women.JAMA Network Open

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T20:01:25.550362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:01:25.550362Z digest=sha256:426990fefb4b7c366a068710170d2fc5dcc4b10500fd32e73122cd98d097ec02

Observation 47370341-49a9-42dd-a83d-59dcd91fab53 · outbound

This paper cites The effect of weight change on changes in breast density measures over menopause in a breast cancer screening cohort.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework The effect of weight change on changes in breast density measures over menopause in a breast cancer screening cohort

Reference 36

Resolution
verified exact
doi, observed 2026-08-01T20:03:21.208858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:01:25.646867Z digest=sha256:45b8671c2c264698e75f34b53bced671ef0f6a5de5c4738263fe739d5ab1c02f

Observation 54c9ac91-4a0d-48a1-8d64-6e750d3faf13 · outbound

This paper cites Determinants of Mammographic Density Change.JNCI Cancer Spectrum.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Determinants of Mammographic Density Change.JNCI Cancer Spectrum

Reference 37

Resolution
verified exact
doi, observed 2026-08-01T20:03:21.076478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:01:25.766321Z digest=sha256:72f72793b57566221ff8c81d30330134445e7ce2f62ee5385402fa917d64f564

Observation 349e0dde-219d-47cd-8b93-ef14e1bf648d · outbound

This paper cites Age-related Changes in Mammographic Density and Breast Cancer Risk.American Journal of Epidemiology.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Age-related Changes in Mammographic Density and Breast Cancer Risk.American Journal of Epidemiology

Reference 38

Resolution
verified exact
doi, observed 2026-08-01T20:03:20.906642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:01:25.827725Z digest=sha256:5b65fca01cb159612c23d86496af7f1c4f40af8f77367401a638f3884eef8732

Observation 3431595b-3092-4aab-857e-4f69647ea495 · outbound

This paper cites Mammographic density in women on postmenopausal hormone replacement therapy.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Mammographic density in women on postmenopausal hormone replacement therapy

Reference 39

Resolution
verified exact
doi, observed 2026-08-01T20:03:20.704949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:01:25.907803Z digest=sha256:fe25a07d4d95536054cddc7e2664bc0542021542f2686d868c0ec66f82e15134

Observation 2bb3f4f7-e6ab-4da8-87ba-b240c2c2c194 · outbound

This paper cites LMest: An R Package for Estimating Generalized Latent Markov Models.The R Journal.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework LMest: An R Package for Estimating Generalized Latent Markov Models.The R Journal

Reference 40

Resolution
verified exact
doi, observed 2026-08-01T20:03:20.553296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:01:25.990575Z digest=sha256:ff426d592992d42eb118f1cdcf820270053e0d938d63dc78ebd496fea1a60e26

Observation 627015ca-c6c4-4e6f-a686-6a74d20d04dd · outbound

This paper cites Relationships between epidemiological features and tumor characteristics of breast cancer.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Relationships between epidemiological features and tumor characteristics of breast cancer

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T20:01:26.099496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:01:26.099496Z digest=sha256:187f87f2da0b47a2a0160792d1e3faad582ea9cc233d0895e81bc722b70092fa

Observation 35a02910-f4d9-4d77-89e8-7a9ced007ce6 · outbound

This paper cites personalized.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework personalized

Reference 42

Resolution
verified exact
doi, observed 2026-08-01T20:03:20.413551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-01T20:01:26.159647Z digest=sha256:4798d53c58ddba7ce5a1d9c8a857c7295b1575a86d9743b12e8d06faf06d9d66

Observation d0d2ae32-560f-4eb3-923d-1c661f1f6fd5 · outbound

This paper cites an unresolved cited work.

Decoupling risk and masking in mammographic density under irregular follow up using a latent Markov progression detection framework Unresolved cited work

Reference 1397

Resolution
unresolved
no resolver link, observed 2026-08-01T20:01:21.889203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:01:21.889203Z digest=sha256:b29eb63e934451bf4d362771a9c51149e55a119acb5676666f1320a0ccfc9dbe

Pith citing papers

No inbound Pith citation observations are available.