Pith. sign in

Paper Citation Record · LEDGER

FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.06263.

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

pith.paper-citation-record.v1
2401.06263 v1

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 2026-08-11T10:51:52.923142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:05:31.218177Z

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 090b24e3-4dc4-4206-86e4-8052867b1c94 · inbound

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

Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T10:51:52.923142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:51:52.923142Z digest=sha256:a3aaea11492d46828b4f146c7114cf041b6ce8055d1fb5bea08b299e18fb2cb7

Observation 75e7fbb1-26e7-423c-97f8-1d00bf1347bd · inbound

Diffusion and Flow Matching Models for Tabular Data: A Survey cites this paper.

Diffusion and Flow Matching Models for Tabular Data: A Survey FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation

Reference 124

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:05:31.220969Z

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=2026-05-25T08:00:32.132054Z digest=sha256:e8508a76932dae166c3e196513c6b689492147043e939a0625301335ece95b5a