Paper Citation Record · LEDGER

Large-Scale Differentially Private BERT

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:08:57.270395Z

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.