Paper Citation Record · LEDGER

Medical Image De-Identification Benchmark Challenge

As of 15 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.23608.

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

pith.paper-citation-record.v1
2507.23608 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:46:01.824697Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy18
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 00f075ed-6a4e-4d08-8c2a-36e78ef0ea3f · outbound

This paper cites De-identification of medical images using object-detection models, generative adversarial networks and perceptual loss.

Medical Image De-Identification Benchmark Challenge De-identification of medical images using object-detection models, generative adversarial networks and perceptual loss

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.808443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d7f25b20-ae9c-4274-ae84-15666998ccb2 · outbound

This paper cites Understanding and using dicom, the data interchange standard for biomedical imaging.

Medical Image De-Identification Benchmark Challenge Understanding and using dicom, the data interchange standard for biomedical imaging

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.766800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a8082086-8535-4853-9732-76bb8f7b68c8 · outbound

This paper cites De-identification techniques to preserve privacy in medical records.

Medical Image De-Identification Benchmark Challenge De-identification techniques to preserve privacy in medical records

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.741165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a7ebb04-3105-4114-a383-6b747b52adc5 · outbound

This paper cites an unresolved cited work.

Medical Image De-Identification Benchmark Challenge Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T10:46:02.667814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19da00c7-b408-4c27-b3f8-66fb526aa99d · outbound

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

Medical Image De-Identification Benchmark Challenge Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:01.657872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 501916ee-5bcd-481c-92da-b2d02a4722a5 · outbound

This paper cites Image data sharing for biomedical research—meeting hipaa requirements for de-identification.

Medical Image De-Identification Benchmark Challenge Image data sharing for biomedical research—meeting hipaa requirements for de-identification

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.641279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b63b53f9-0ce0-4820-9d9f-1dc24c4df8c6 · outbound

This paper cites De-identifying government datasets: Techniques and governance.

Medical Image De-Identification Benchmark Challenge De-identifying government datasets: Techniques and governance

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.588422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 431d3585-25ab-4bc9-88d0-c4868891b08c · outbound

This paper cites Medical image de-identification using cloud services.

Medical Image De-Identification Benchmark Challenge Medical image de-identification using cloud services

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.553040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a157fd3-a32e-46c0-ab54-e073f663c5aa · outbound

This paper cites Open platform for the de-identification of burned-in texts in medical images using deep learning.

Medical Image De-Identification Benchmark Challenge Open platform for the de-identification of burned-in texts in medical images using deep learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.504959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73420a55-53fe-42a8-88f6-a740f2b8765e · outbound

This paper cites A method for efficient de-identification of dicom metadata and burned-in pixel text.

Medical Image De-Identification Benchmark Challenge A method for efficient de-identification of dicom metadata and burned-in pixel text

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.454893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1eb8b579-ebe0-46b7-8e05-55c7cf0eada5 · outbound

This paper cites Introduction to the dicom standard.

Medical Image De-Identification Benchmark Challenge Introduction to the dicom standard

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.420925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 208ff685-8848-4eb9-90cc-99231955f6ce · outbound

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

Medical Image De-Identification Benchmark Challenge A de-identification pipeline for ultrasound medical images in dicom format

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.378739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f5eceef5-db5f-49c5-b746-69ae1b70b7ca · outbound

This paper cites De-identification of medical images with retention of scientific research value.

Medical Image De-Identification Benchmark Challenge De-identification of medical images with retention of scientific research value

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.347757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 01722621-01f0-41ec-9fca-89bbf371d27b · outbound

This paper cites Pseudo-phi-dicom-data collection, 2025.

Medical Image De-Identification Benchmark Challenge Pseudo-phi-dicom-data collection, 2025

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.301866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ce30eb8-b641-427c-9682-87b6518f2c1b · outbound

This paper cites Dicom part 15: Security and system management profiles, section e.2, 2025.

Medical Image De-Identification Benchmark Challenge Dicom part 15: Security and system management profiles, section e.2, 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.257895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d898d80c-92af-487c-8817-6db7fcef4df8 · outbound

This paper cites Department of Health and Human Services.

Medical Image De-Identification Benchmark Challenge Department of Health and Human Services

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.202004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6c53738-574b-4611-b608-2e80ecd39b68 · outbound

This paper cites De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy.

Medical Image De-Identification Benchmark Challenge De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:01.779987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b980a97e-0f8a-40d4-b6eb-10c179d00afa · outbound

This paper cites Rutherford, S.K.

Medical Image De-Identification Benchmark Challenge Rutherford, S.K

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.168093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2a04bf6a-4e25-4ae1-aeba-329fda4e1332 · outbound

This paper cites A dicom dataset for evaluation of medical image de-identification.

Medical Image De-Identification Benchmark Challenge A dicom dataset for evaluation of medical image de-identification

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.118983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b1e9ebb7-ab59-4899-a7b1-f5fc1e26ecf6 · outbound

This paper cites Submission and de-identification overview, 2025.

Medical Image De-Identification Benchmark Challenge Submission and de-identification overview, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.073942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f05e3f8-0dc7-46b1-8c7f-cbd1a8b23d34 · outbound

This paper cites Department of Health and Human Services.

Medical Image De-Identification Benchmark Challenge Department of Health and Human Services

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:46:02.029036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.