Paper Citation Record · LEDGER

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.02958.

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

pith.paper-citation-record.v1
2406.02958 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:46.530911Z

measured 0 of 1 external citation measurements

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 2026-08-22T06:32:14.747728+00:00.

Observation b8e90d9e-3b2f-470e-b04d-985968c98a20 · inbound

POPri: Private Federated Learning using Preference-Optimized Synthetic Data cites this paper.

POPri: Private Federated Learning using Preference-Optimized Synthetic Data PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:46.530911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.