Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.02958.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:09:03.974510Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T11:12:38.700155Z
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 13b8e8c8-ef4c-4267-8d26-9845b449a38e · inbound
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model cites this paper.
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:09:03.974510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14500b73-b963-4a92-9b82-00bfaaeb0a3e · inbound
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? cites this paper.
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Reference 2012
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:07:10.056944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ce218f2-244a-4128-b40d-3f3f41c66c57 · inbound
Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning cites this paper.
Initialization Matters: Unraveling the Impact of Pre-Training on Federated Learning PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Reference 2010
- Resolution
- malformed identifier
- local_arxiv, observed 2026-08-08T11:12:38.705883Z
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.