Paper Citation Record · LEDGER

Large-Scale Differentially Private BERT

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2108.01624.

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

pith.paper-citation-record.v1
2108.01624 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:46:23.904802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.075443Z

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 25166d02-c32b-4371-b99a-639ec4dca86d · inbound

Quantifying Memorization Across Neural Language Models cites this paper.

Quantifying Memorization Across Neural Language Models Large-Scale Differentially Private BERT

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:04:59.719858Z

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 29b8f53e-8efe-4ffc-8fd5-de82409646e7 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Large-Scale Differentially Private BERT

Reference 224

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:45:17.942185Z

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 6b00b5ca-8972-4dbe-a249-dacf990cebc9 · inbound

On the Privacy Risk of In-context Learning cites this paper.

On the Privacy Risk of In-context Learning Large-Scale Differentially Private BERT

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T19:46:23.904802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffb21bcb-0bb7-4890-9824-daeae5a399e5 · inbound

The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification cites this paper.

The Impact of Generalization Techniques on the Interplay Among Privacy, Utility, and Fairness in Image Classification Large-Scale Differentially Private BERT

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:31:35.689861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 807bf33c-57d7-452b-9f79-7ea34005f6ae · inbound

A Lightweight Method to Disrupt Memorized Sequences in LLM cites this paper.

A Lightweight Method to Disrupt Memorized Sequences in LLM Large-Scale Differentially Private BERT

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T20:08:57.270395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40ba1c93-4b24-4713-b47a-4c5a8363e815 · 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 Large-Scale Differentially Private BERT

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:16.813407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8390a5-d080-424e-a9b5-434193777d07 · inbound

FlashDP: Private Training Large Language Models with Efficient DP-SGD cites this paper.

FlashDP: Private Training Large Language Models with Efficient DP-SGD Large-Scale Differentially Private BERT

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:06:00.814361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa0ad4d-1028-47ba-932a-820e5293f6e3 · inbound

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD cites this paper.

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Large-Scale Differentially Private BERT

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T13:37:56.542875Z

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 1fb76b8c-0167-4009-8b53-7b9d9d87407b · inbound

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Large-Scale Differentially Private BERT

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:27:31.076788Z

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.