Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.07667.
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 2026-08-07T13:14:08.401537Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T03:42:22.362901Z
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 4cdf48ec-5a38-4c15-b751-9fea9be95a5a · inbound
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models cites this paper.
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:14:08.401537Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 595e6990-5ee0-464d-ba98-c33153196064 · inbound
Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.
Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
Reference 140
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:42:22.365174Z
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.