Paper Citation Record · LEDGER

Private Fine-tuning of Large Language Models with Zeroth-order Optimization

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.04343.

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

pith.paper-citation-record.v1
2401.04343 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:37:44.328625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:27:31.055732Z

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 f988bea5-4287-49a5-ba27-77e5a5c13c18 · inbound

Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States cites this paper.

Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:02:16.854897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e440e004-e1bb-4f98-8f97-ea7aef482678 · inbound

Memory-Efficient Differentially Private Training with Gradient Random Projection cites this paper.

Memory-Efficient Differentially Private Training with Gradient Random Projection Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.456796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 462a191e-50c4-41c9-a8be-0aff6b089183 · inbound

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

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T13:37:56.474131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5125a4f8-94ca-478b-bef7-4e6273868327 · inbound

Efficient DP-SGD for LLMs with Randomized Clipping cites this paper.

Efficient DP-SGD for LLMs with Randomized Clipping Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:34:39.072241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 439c73c4-d4c0-44e5-b4c6-2973bfd1a457 · 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 Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:27:31.057068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation aa47c630-7e16-48f6-8d70-cfe8eaf46c89 · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Private Fine-tuning of Large Language Models with Zeroth-order Optimization

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:05:37.607353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.