Paper Citation Record · LEDGER

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2104.07762.

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

pith.paper-citation-record.v1
2104.07762 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:39:04.552704Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T04:13:53.165607Z

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 3db5a586-8310-4533-83fb-df13a4585802 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:53.168057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 437e6b98-c95f-48a6-9ec8-85228a19c429 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.049784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37fcec31-ba01-48e2-848d-39f4cac1b8c9 · inbound

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks cites this paper.

InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T11:29:29.428886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e70d11f-103d-4448-ac26-2bf7cf4802e8 · inbound

DMRL: Data- and Model-aware Reward Learning for Data Extraction cites this paper.

DMRL: Data- and Model-aware Reward Learning for Data Extraction Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T23:39:04.552704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.