Paper Citation Record · LEDGER

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2507.23736.

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

pith.paper-citation-record.v1
2507.23736 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:32:36.341466Z

measured 39 of 39 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 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

39 of 39 outbound references displayed

verified exact2
verified fuzzy21
unresolved15
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c19d46c-42f6-4fa1-9650-3bbecb4ade00 · outbound

This paper cites Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research.National Academies Press (US), 2009.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Beyond the HIPAA Privacy Rule: Enhancing Privacy, Improving Health Through Research.National Academies Press (US), 2009

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.704084Z

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 55fd47b4-1c11-44c6-9bb3-48e7e1a4368b · outbound

This paper cites Security and Privacy of Technologies in Health Informa- tion Systems: A Systematic Literature Review.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Security and Privacy of Technologies in Health Informa- tion Systems: A Systematic Literature Review

Reference 2

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T10:32:37.662774Z

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 f02c711d-db16-4c4e-b6be-9a14f0598396 · outbound

This paper cites B.; Kirby, J.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction B.; Kirby, J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.639730Z

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 5e615ea0-0076-4a26-abdd-e4d29406ada9 · outbound

This paper cites Y .; van Kernebeek, G.; Berendsen, B.; Oudkerk, M.; van Ooijen, P.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Y .; van Kernebeek, G.; Berendsen, B.; Oudkerk, M.; van Ooijen, P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.618561Z

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 8dedc652-a9dc-481a-a0d0-fbd1149c73ab · outbound

This paper cites Ethical considerations and bias mitigation in deep learning for medical imaging.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Ethical considerations and bias mitigation in deep learning for medical imaging

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.586609Z

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 a67b71ab-1265-41f5-9b66-9256cbde56da · outbound

This paper cites Methods for De-Identification of PHI.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Methods for De-Identification of PHI

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.558351Z

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 70f12c0f-69df-44e6-9147-ca7bb3325fc8 · outbound

This paper cites Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:32:36.748818Z

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 b402f59d-550c-4bf7-9fa9-2a432d7616ce · outbound

This paper cites The Limitations of De- Identification – Protecting Unit-Record Level Personal Information.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction The Limitations of De- Identification – Protecting Unit-Record Level Personal Information

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.521485Z

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 4a0ed202-9285-4b8b-90e8-1bd9c9f6a6ca · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.493354Z

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 5564bf00-2f20-4712-a8a4-7241da1e0d17 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.458563Z

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 a9dde68e-2917-485e-9173-527caf88ab1d · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.438165Z

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 197b5c41-48c8-4442-a60c-ccbf0dc496ff · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.412391Z

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 9e8cbd24-4bd1-4c2d-a064-5bfc85b5adcc · outbound

This paper cites hide in plain sight.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction hide in plain sight

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.384191Z

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 0034aa1e-6729-4b5c-84c5-8097751d1528 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.351613Z

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 c11eb487-9a04-42ba-bda6-b0ffc9c4034e · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.317572Z

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 60d0fec3-c49c-440a-8323-f8f2c7d30304 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.280671Z

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 e6383da8-98fb-47ea-8650-b1a00ff51d33 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.256853Z

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 fa7d8bdc-bee8-4f37-a839-0abc9a126e6e · outbound

This paper cites Faker: Python library for generating fake data.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Faker: Python library for generating fake data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.235217Z

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 22829e21-8073-4cd6-8292-32cc5ae6bbc7 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.211019Z

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 81cc38a7-7f63-4150-94c1-5d98225fb07d · outbound

This paper cites Open Source Computer Vision Library.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Open Source Computer Vision Library

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.186470Z

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 25bf828e-aa56-4ff9-9376-f82e7f8255be · outbound

This paper cites fuzzywuzzy: Fuzzy String Matching in Python, 2014–2021.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction fuzzywuzzy: Fuzzy String Matching in Python, 2014–2021

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.164684Z

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 9ed0ceb5-b1b2-49e3-8450-0d4f42be8e4f · outbound

This paper cites LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T10:32:36.154384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36229ae7-887e-4188-8cbf-05cf9a9fa9ab · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.144283Z

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 d2e35d67-790e-42a0-9983-f16caaaf2dd4 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.120495Z

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 12e3cd8b-997b-4f2b-9cdb-aa6664104e7e · outbound

This paper cites Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:32:36.184591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57856d03-368e-4655-953e-54baedbcb9f5 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.095951Z

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 1319176a-60e5-4333-9c35-ba4c31f68693 · outbound

This paper cites C.; Rasool, G.; Shterenberg, R.; Fathallah-Shaykh, H.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction C.; Rasool, G.; Shterenberg, R.; Fathallah-Shaykh, H

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.069856Z

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 4d275303-28c5-4e5e-a259-f5eb04ff9aa3 · outbound

This paper cites Tesseract: an open-source optical character recognition engine.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Tesseract: an open-source optical character recognition engine

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.046071Z

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 1740a48a-944f-49f5-bc25-bdaf875038b0 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:32:37.022654Z

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 d4ede1cf-8ba1-46b1-b482-6d4a734a08e3 · outbound

This paper cites Model inversion attacks that exploit confidence information and ba- sic countermeasures.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Model inversion attacks that exploit confidence information and ba- sic countermeasures

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:37.000948Z

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 a00846a3-14e5-49df-bdff-e75da43169e8 · outbound

This paper cites Membership inference attacks against machine learning models.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Membership inference attacks against machine learning models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.977026Z

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 3900b188-a705-40b9-a7bc-f16835df0837 · outbound

This paper cites an unresolved cited work.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Unresolved cited work

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-06T10:32:36.632870Z

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 9350a600-3d95-481c-a221-aee054b75b1f · outbound

This paper cites DICOM Templates.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction DICOM Templates

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.950682Z

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 c7c23652-fc4e-4ede-b93f-bf770fa9ed76 · outbound

This paper cites ChatGPT-4,.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction ChatGPT-4,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.922633Z

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 7852379e-40fd-462d-87ce-b3bf47c296c3 · outbound

This paper cites A de-identification pipeline for ultrasound medical images in DICOM format.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction A de-identification pipeline for ultrasound medical images in DICOM format

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.895383Z

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 97084403-018a-47d4-83b6-0388164d7460 · outbound

This paper cites Mickley, Pouria Rouzrokh, Michael J.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Mickley, Pouria Rouzrokh, Michael J

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.868630Z

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 3f133bf8-0cf5-426a-a02f-ae9d2df65db6 · outbound

This paper cites Transformers in medical image analysis.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Transformers in medical image analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.839945Z

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 152992c3-5c56-404d-8e27-79b90f682579 · outbound

This paper cites Simon, Optimal State Estimation: Kalman, H-Infinity, and Nonlinear Approaches.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction Simon, Optimal State Estimation: Kalman, H-Infinity, and Nonlinear Approaches

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.804627Z

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 89c44db1-95cb-420e-9be8-639e16456205 · outbound

This paper cites i2b2 at Mayo Clinic: Self-service clinical data query tool.

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction i2b2 at Mayo Clinic: Self-service clinical data query tool

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:32:36.782083Z

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.

Pith citing papers

No inbound Pith citation observations are available.