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Paper Citation Record · LEDGER

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.02942.

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

pith.paper-citation-record.v1
2506.02942 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:51.626181Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

42 of 42 outbound references displayed

  • verified exact3
  • verified fuzzy35
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13bfc165-cd93-4529-8ad5-4cbe4216bc1a · outbound

This paper cites Sharing Is Caring-Data Sharing Initiatives in Healthcare.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Sharing Is Caring-Data Sharing Initiatives in Healthcare

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:59.216116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.203423Z digest=sha256:59335831d17dbf529bee8f3d5a8285271b96fb91892769290380c4e46837d144

Observation 4a85e485-b6c2-4dbd-9a53-e57802ef36cc · outbound

This paper cites Microdata.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Microdata

Reference 3

Resolution
verified exact
doi, observed 2026-08-07T11:17:51.874381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.281161Z digest=sha256:40d110afe6a196c8a7d35d4590793e273d6b6c48e4e1f6f0c3d45c1d96461837

Observation 885ea006-9399-4b25-8806-04dda1528dd4 · outbound

This paper cites identification.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation identification

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:59.362753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.135430Z digest=sha256:bc2cc84966db2f95188df5acc52c576f7363e7da335022c8f3a8827ad870083e

Observation c5a784af-e2ab-45d2-9952-ed27a0289829 · outbound

This paper cites [cited 2025 May 29].

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation [cited 2025 May 29]

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:59.084395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.350818Z digest=sha256:55eca9e25ab4ce260ce5eb73904deef8f47052db515fb015e05f6967293846b8

Observation 88e39c45-90f3-439f-a01a-a6eeca7624c7 · outbound

This paper cites Sensitive attribute privacy preservation of trajectory data publishing based on l-diversity.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Sensitive attribute privacy preservation of trajectory data publishing based on l-diversity

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:58.911282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.434089Z digest=sha256:3694d7ade244483319136cef3cd98d03c8a6065affaf95e1df3621316b4a951d

Observation 281feab7-5a94-4d11-b65f-c07aa7b646f8 · outbound

This paper cites Patient level dataset to study the effect of COVID-19 in people with Multiple Sclerosis.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Patient level dataset to study the effect of COVID-19 in people with Multiple Sclerosis

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:58.721033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.506856Z digest=sha256:c2bec558d7e6b14bc05f065bf9733f8ff2bf9827b6f622585aa6ef7546036722

Observation a69a06bd-8734-4c59-b152-468a9e7c016d · outbound

This paper cites Demystifying the likelihood of reidentification in neuroimaging data: A technical and regulatory analysis.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Demystifying the likelihood of reidentification in neuroimaging data: A technical and regulatory analysis

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:58.565222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.510153Z digest=sha256:d9bd3b76ef37e8023b0fb09447ee660e3c99367fc95b50873bf415ea91d9b0cd

Observation 11e3adc0-46de-4556-a8cd-2598d9046388 · outbound

This paper cites Observational health research in Europe: understanding the General Data Protection Regulation and underlying debate.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Observational health research in Europe: understanding the General Data Protection Regulation and underlying debate

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:58.379048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.571589Z digest=sha256:e858e457c104425b29c27a8c9ef32cb6e73c3f0c37f7fc0ea7999ba4eb981bd6

Observation 7e5ff312-1650-4243-a5cf-70f45587c699 · outbound

This paper cites Disruptive and avoidable: GDPR challenges to secondary research uses of data.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Disruptive and avoidable: GDPR challenges to secondary research uses of data

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:58.228370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.680450Z digest=sha256:53c3366af1f0c589b03bcc0ced2822425d68a6a7689a4e76ab2f3e168f1c7903

Observation d60ed08f-12fd-4e1c-a2fd-8d91b52eb09e · outbound

This paper cites Are We There Yet? Understanding the Challenges Faced in Complying with the General Data Protection Regulation (GDPR).

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Are We There Yet? Understanding the Challenges Faced in Complying with the General Data Protection Regulation (GDPR)

Reference 11

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T11:17:52.744129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.765401Z digest=sha256:5c699da43a06fc803ac276149b6e45e9f2b04905e32d565f3dfb39e4167f929c

Observation 2fd080f2-a508-4844-8389-2f8bc9f578b0 · outbound

This paper cites an unresolved cited work.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:17:58.099544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:48.901609Z digest=sha256:5a3ee29c0e4f283fb2260b0fb95c5bf5a15edb10c5d933b54b20afc5eefb6c4c

Observation 40bf8478-8b9b-46c5-9ec8-42cab28249c1 · outbound

This paper cites The Role of Quasi-identifiers in k-Anonymity Revisited.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation The Role of Quasi-identifiers in k-Anonymity Revisited

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:17:52.506317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.000002Z digest=sha256:bab0678061049022ea280ef54a3d14ec112d9add0fd5e16b5279da50c45103cc

Observation 670419a1-a476-4fa2-8677-c208b15a8df1 · outbound

This paper cites The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:57.951316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.079486Z digest=sha256:e130c22f7001c0f26718969f390211fed83fff96c64cdb9c67b16df9f232531a

Observation 1f0520d9-b503-4653-b1f2-8b894a639fd5 · outbound

This paper cites Parsifal.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Parsifal

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:57.786743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.164185Z digest=sha256:27f3ef77aa91e670b514fdadc32efda3a1ceef1ec2ce6f34cd81788ab63a01ba

Observation 6a786e72-5a3f-401e-9adc-9b3e6cd1a6e8 · outbound

This paper cites How-to conduct a systematic literature review: A quick guide for computer science research.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation How-to conduct a systematic literature review: A quick guide for computer science research

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:57.637939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.219919Z digest=sha256:d53375b8f0ad8379a0d98e28c81991880f4c1979d9c28a57a150b83446706bbf

Observation 7d201422-765c-4e4b-969f-268f5308a2e6 · outbound

This paper cites STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:57.446615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.310116Z digest=sha256:1301b97ed3403a5ac2eefccd9596bf801fa937fa83c51112be99299e690eefcf

Observation 44ff8ce3-ed6d-4818-94e3-3b3685812430 · outbound

This paper cites EndNote [Internet].

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation EndNote [Internet]

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:57.276234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.398161Z digest=sha256:3211042ed2301651f77485633b2d5cb0c7bdad89f685e5cca3ef6560be913038

Observation 335f0d83-9836-445e-a790-a36229823905 · outbound

This paper cites Quality assessment in systematic literature reviews : A software engineering perspective.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Quality assessment in systematic literature reviews : A software engineering perspective

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:57.115458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.479984Z digest=sha256:114baddffb4fae0cdf4c411fc40831cefcffe03ee4b77e2656ce598b7d4956cc

Observation 30f34ebf-53c4-4584-ad20-375538a2dad2 · outbound

This paper cites The Real-World Data Challenges Radar: A Review on the Challenges and Risks regarding the Use of Real-World Data.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation The Real-World Data Challenges Radar: A Review on the Challenges and Risks regarding the Use of Real-World Data

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:56.974341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.546716Z digest=sha256:6697293ae2b9b10751fa9e73e9cedb3b72e8552e632260a3085fb8bb60ef435b

Observation 2d3e4df7-ce49-4a91-9163-6fdc38f80142 · outbound

This paper cites Anonymization of Data Sets with NULL Values.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Anonymization of Data Sets with NULL Values

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:56.822619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.610911Z digest=sha256:9b2a9cdc96b6ec8057a6aa6081ab68d575b760dfc84263988900c753054d436f

Observation 58cf0ff9-557d-4dfc-8500-eb8e696122cf · outbound

This paper cites Quasi-Identifier Recognition Algorithm for Privacy Preservation of Cloud Data Based on Risk Reidentification.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Quasi-Identifier Recognition Algorithm for Privacy Preservation of Cloud Data Based on Risk Reidentification

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:56.643668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.662589Z digest=sha256:27e14fb61ec583f4a7fa7a3cdaaefc2dd748bd01c6ea74f17a357bb5d05b0157

Observation 2c0ed9cb-440a-4d74-9916-bb455bf1389f · outbound

This paper cites Quasi-identifier recognition with echo chamber optimization-based anonymization for privacy preservation of cloud storage.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Quasi-identifier recognition with echo chamber optimization-based anonymization for privacy preservation of cloud storage

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:56.489582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.730066Z digest=sha256:8933f1ae835ea38cf656a7d55cae7bd2cda9be1a16fa3f1fbc9184db141155bb

Observation 306c98f6-4122-4f4c-89f6-c47b4fb4ceed · outbound

This paper cites De-Identification Guideline.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation De-Identification Guideline

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:56.345485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.804888Z digest=sha256:fe60b3a31e740f06a082cd8043cfd80c65e5a16b5c93637a7446b02b35ebfd1f

Observation 17d1179b-96ab-4e51-ae53-3a56e549bbf9 · outbound

This paper cites De-identification of personal information [Internet].

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation De-identification of personal information [Internet]

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:56.177458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:49.886411Z digest=sha256:4d9d0fba85e3151f480fda038df97d8bd7095b87919e95055214f4eb67974240

Observation 67773f3d-9b0e-4653-bb58-4e10378b57a2 · outbound

This paper cites ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:56.037925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.002405Z digest=sha256:ef042fdd2576cb5a5dc036d8f8f7493c0604398bc18d5c5196d14c63f141ecb1

Observation dca1e623-9e70-4cfc-ae16-ee7e1fc699ad · outbound

This paper cites k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:55.909288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.087568Z digest=sha256:5b2367f124a438361243e05c0af642e5ce43f9e71168ac7fe39d40ebb56db6ac

Observation 96321138-3d37-48e9-b890-c6ce99ac0e00 · outbound

This paper cites L-diversity: Privacy beyond k-anonymity.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation L-diversity: Privacy beyond k-anonymity

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:55.742769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.222144Z digest=sha256:9cc1d728ef54bdf6dd64e71b596ab291c956c4d8f25f566d17453207213492bd

Observation 27f6537f-5166-468b-b134-eed3a783660a · outbound

This paper cites t-Closeness: Privacy Beyond k-Anonymity and -Diversity.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation t-Closeness: Privacy Beyond k-Anonymity and -Diversity

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:55.589775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.332695Z digest=sha256:a4949e869f7d05d03d38b035892ccabc5daed2270e9cda797e99f1fcc070bf52

Observation 1ca3ed7d-93b3-495c-bd2e-90da3c8ed0fe · outbound

This paper cites Privacy Protection in Social Science Research: Possibilities and Impossibilities.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Privacy Protection in Social Science Research: Possibilities and Impossibilities

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:55.429619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.451965Z digest=sha256:005125e5defd86d75515e356292900cd155c4b0483d358797de3861b3fa66939

Observation b40b5969-a3d6-431d-8731-d3200189ed7f · outbound

This paper cites An Experimental Comparison of Quality Models for Health Data De-Identification.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation An Experimental Comparison of Quality Models for Health Data De-Identification

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:55.282589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.583180Z digest=sha256:6e58ae0da42458fbe99cd932c3c021f235cb4de94ec0097f1090b83aaff2a923

Observation f06db596-c6d0-4cd3-ace4-8a3a9002562a · outbound

This paper cites Utility-driven assessment of anonymized data via clustering.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Utility-driven assessment of anonymized data via clustering

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:55.104435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.705912Z digest=sha256:f686acdb916e753ec401652ccdff345a9e118a3ad45f1f776b48e3007abf5fff

Observation 42ef07d9-a7e7-4114-8eea-cd6823a0ba0a · outbound

This paper cites Utility-preserving transaction data anonymization with low information loss.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Utility-preserving transaction data anonymization with low information loss

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:54.969471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.805777Z digest=sha256:4d408fa84c67e5a2cc1d4d97c5c7f1b62f707247a8e9dce99c1cf6ed57a4761b

Observation ffbb7255-b19c-48e3-9c81-b415b19cb207 · outbound

This paper cites A Generic Method for Assessing the Quality of De-Identified Health Data.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation A Generic Method for Assessing the Quality of De-Identified Health Data

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:54.790213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.879362Z digest=sha256:140e6fa6a05675dcf2e182bd409998ac084917b3def5f71f7f3887164c5a9a96

Observation b11d2990-b035-4d31-8a64-29ae3b1be5cb · outbound

This paper cites Finding Quasi-identifiers for K-Anonymity Model by the Set of Cut-vertex.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Finding Quasi-identifiers for K-Anonymity Model by the Set of Cut-vertex

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:54.608730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:50.970294Z digest=sha256:ddb38b78abddb6948d37367416770b27e3cf573515b27a44590a72aeeb4b3008

Observation 57f28fc5-a3c6-478b-b7e6-885795313d03 · outbound

This paper cites Efficient Algorithms for Masking and Finding Quasi-Identifiers.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Efficient Algorithms for Masking and Finding Quasi-Identifiers

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:54.427759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.048987Z digest=sha256:08ffd32034601512372a7cb845e5c5453393c481622eb1e6e206352461f30777

Observation d7dfd192-cbf2-435c-8b88-1ca37a0cb3df · outbound

This paper cites an unresolved cited work.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:17:54.226078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.145442Z digest=sha256:bf537b8e87c373bd779936bb2adf92635b2a6c0aa00b9e65e48c3951c9aed0b9

Observation d804a7ed-ced0-496a-90fc-5400a5dc33e9 · outbound

This paper cites Learning quasi-identifiers for privacy-preserving exchanges: a rough set theory approach.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Learning quasi-identifiers for privacy-preserving exchanges: a rough set theory approach

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:54.030336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.214136Z digest=sha256:1ad844f533116d346f6393ff2e9b61ffd55fa28d694e274d757a4a7032bcd146

Observation 0f41f92e-1328-4783-94c2-e557d449cb17 · outbound

This paper cites [cited 2025 May 29].

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation [cited 2025 May 29]

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:53.868324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.272540Z digest=sha256:f38f6af4d991820aa3d75e9947198c9879c9aa4c9571e1686b670dd8638b4d50

Observation 8d226528-2abb-4a20-86ef-317fb9b40287 · outbound

This paper cites Comparative Analysis of Python and Java for Beginners.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Comparative Analysis of Python and Java for Beginners

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:53.727563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.371909Z digest=sha256:41cdc137327c946cfe499fb9761e8619706f91fb577d35f7f90335e8cf5e9934

Observation 868d5efd-954c-4e6a-8613-3a71084805bf · outbound

This paper cites Python for Data Analytics, Scientific and Technical Applications.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Python for Data Analytics, Scientific and Technical Applications

Reference 41

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:17:52.211467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.461270Z digest=sha256:8f98e4358def22d016850a7c0b086ad502d6b0f114f6b4af74ade92b8f0e43c6

Observation 1fa653c7-1663-4437-93ba-18cca489f368 · outbound

This paper cites Utility-preserving anonymization for health data publishing.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Utility-preserving anonymization for health data publishing

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:53.394163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.557949Z digest=sha256:a9a54f3b96a7f7f69547a80b34be43fc4c55d9de38162b203de78b92ac46bfae

Observation c5aacb74-905b-4460-b06a-391c2a9c61d9 · outbound

This paper cites Empowering open data sharing for social good: a privacy-aware approach.

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation Empowering open data sharing for social good: a privacy-aware approach

Reference 43

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T11:17:53.066162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T11:17:51.626181Z digest=sha256:26b17669813cd2109cedd40473ca780e237d028516597107d9ba2a6f0240a7f9

Pith citing papers

No inbound Pith citation observations are available.