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Paper Citation Record · LEDGER

AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.15479.

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

pith.paper-citation-record.v1
2310.15479 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:04:00.777052Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:33:04.064760Z

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 3a17139a-2022-4dd1-9643-dce4ead70e2e · inbound

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation cites this paper.

Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T15:04:00.777052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:04:00.777052Z digest=sha256:79c5c8976610759c2af518e3fb00f347e7fccee163375fd1da91504aa16279b8

Observation 3d21ab9d-77b7-4053-9e6c-98ee9d50888c · inbound

Ensembling Membership Inference Attacks Against Tabular Generative Models cites this paper.

Ensembling Membership Inference Attacks Against Tabular Generative Models AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:33:04.154747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T11:32:59.586262Z digest=sha256:e13c317f21e0dfc1b01e30be5bb993b1f44e8127d882f418e65aa5de328b06ef