Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.11423.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.520715Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f6e3329c-6bd8-4686-88d7-aafc46836abc · inbound
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
Reference 179
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:24:12.520715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f7cb68c-c85a-429a-b05b-0f20b46cd02f · inbound
FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models cites this paper.
FLAME-MoE: A Transparent End-to-End Research Platform for Mixture-of-Experts Language Models Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:02:44.098280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88dbfb96-ff98-480c-a124-cde4b7442db9 · inbound
Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks cites this paper.
Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
Reference 37
- Resolution
- verified exact
- local_arxiv, observed 2026-08-02T02:59:30.947605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.