Paper Citation Record · LEDGER

Membership Inference Attack Susceptibility of Clinical Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2104.08305.

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

pith.paper-citation-record.v1
2104.08305 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:05.925061Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:57:23.312202Z

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 1402fa65-65ff-4970-aa4e-1bdb7a7a0584 · inbound

Detecting Pretraining Data from Large Language Models cites this paper.

Detecting Pretraining Data from Large Language Models Membership Inference Attack Susceptibility of Clinical Language Models

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T18:07:24.713765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 257c0821-d1ef-480c-ae18-cf1290eee821 · inbound

Towards the Anonymization of the Language Modeling cites this paper.

Towards the Anonymization of the Language Modeling Membership Inference Attack Susceptibility of Clinical Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:32:39.513413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 75e0d7c1-e896-445e-8955-0c2f71d19b1b · inbound

Synthetic Data Privacy Metrics cites this paper.

Synthetic Data Privacy Metrics Membership Inference Attack Susceptibility of Clinical Language Models

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-10T21:47:30.110969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc571b6-0d81-468c-a431-cd115d822cc2 · inbound

Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks? cites this paper.

Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks? Membership Inference Attack Susceptibility of Clinical Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:05.925061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0947d675-f46e-4524-a871-03e07e1a84c8 · inbound

Fragments to Facts: Partial-Information Fragment Inference from LLMs cites this paper.

Fragments to Facts: Partial-Information Fragment Inference from LLMs Membership Inference Attack Susceptibility of Clinical Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:16:09.389602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511de3b9-d4c2-49ca-850f-d28796d01f96 · inbound

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks cites this paper.

SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks Membership Inference Attack Susceptibility of Clinical Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:16.912279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3471d20b-b584-48ff-99ca-ce2e80c38b12 · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Membership Inference Attack Susceptibility of Clinical Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.092761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35ea8178-8806-4476-a7c9-97beaec3ca41 · inbound

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble cites this paper.

Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble Membership Inference Attack Susceptibility of Clinical Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:30:35.110437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05d069b2-6601-4db2-a964-fee0a8743362 · inbound

Data Compressibility Quantifies LLM Memorization cites this paper.

Data Compressibility Quantifies LLM Memorization Membership Inference Attack Susceptibility of Clinical Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:02:07.682146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6bbfa29f-679f-4868-b35b-45f2fa72831d · inbound

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models cites this paper.

LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models Membership Inference Attack Susceptibility of Clinical Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T18:20:44.386267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b94f5828-2308-4ed4-bbc5-0e9a0dc89b8d · inbound

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models cites this paper.

MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models Membership Inference Attack Susceptibility of Clinical Language Models

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:23.313636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.