Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2401.04343.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:29:34.892671Z
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 473dd0c0-fd9a-4314-ae9a-e2845f11427e · inbound
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning cites this paper.
KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:29:34.892671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-09T06:31:02.800959+00:00.
Observation 78c5b743-d256-4814-b1be-04a752662912 · inbound
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models cites this paper.
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:47:31.952969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-09T06:31:02.800959+00:00.
Observation 169e0a2c-9d39-46c8-b5bb-8dff0f5ce347 · inbound
Private Hyperparameter Tuning with Ex-Post Guarantee cites this paper.
Private Hyperparameter Tuning with Ex-Post Guarantee Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:18:51.427290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.