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Paper Citation Record · LEDGER

A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.07056.

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

pith.paper-citation-record.v1
2204.07056 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:35:46.956117Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T09:26:02.325652Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cb36aa70-75dc-43da-806e-3c99532dbcdd · inbound

RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification cites this paper.

RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:46.956117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:46.956117Z digest=sha256:898fc6a76542728665a629ac07c756e343219b03e379ebbe1b5ffedb39b42418

Observation c0324496-b89a-4668-87cb-3da04c14bd6e · inbound

From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction cites this paper.

From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:26:02.329278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:01:01.656670Z digest=sha256:b530cce4fc3d9bacb03dce45c383c6c46a9c7f47984e243d967f0ef6a39b4973