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Paper Citation Record · LEDGER

VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.11941.

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

pith.paper-citation-record.v1
2006.11941 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:47.220219Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:05:50.209258Z

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 b7185c67-3836-4d6c-84cd-243c4529115b · inbound

Masked Conditioning for Deep Generative Models cites this paper.

Masked Conditioning for Deep Generative Models VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:47.220219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:47.220219Z digest=sha256:35f1e33cacc2e1a3bda8ce56d662f6ac5b26ec9bf7841b1c519c77d8345413d4

Observation 0ea8604e-b822-471c-8ed8-2e01b64ba929 · inbound

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation cites this paper.

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:05:50.211082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:42:28.942657Z digest=sha256:781d0d2559396c49723e731a03e394c04619d745da7176c7e449e3523d9aafdb