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Paper Citation Record · LEDGER

Generative Models for Effective ML on Private, Decentralized Datasets

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.06679.

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

pith.paper-citation-record.v1
1911.06679 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:51:53.050682Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T09:32:16.566681Z

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 02f2bb1c-785a-4ac8-a1a7-b8491becc9ef · inbound

Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis cites this paper.

Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis Generative Models for Effective ML on Private, Decentralized Datasets

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T10:51:53.050682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:51:53.050682Z digest=sha256:8b827178e2f33234db5c4b3c05c9900e8465614a59c9e79cdcf6ee09d8980cbf

Observation 2df0028f-4e6d-4321-8a22-745548689a44 · inbound

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cites this paper.

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation Generative Models for Effective ML on Private, Decentralized Datasets

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:16.569679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T09:28:32.185398Z digest=sha256:a5162e398b67a54163f231a24098bcfa5b99637d83c2ef4c3512f00bf21a7e5c