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Paper Citation Record · LEDGER

A Hybrid Convolutional Variational Autoencoder for Text Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1702.02390.

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

pith.paper-citation-record.v1
1702.02390 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:01:09.144521Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:27:16.091103Z

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 56ae4670-c184-4684-9ac8-16e755a53e74 · inbound

Survey on Deep Neural Networks in Speech and Vision Systems cites this paper.

Survey on Deep Neural Networks in Speech and Vision Systems A Hybrid Convolutional Variational Autoencoder for Text Generation

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-14T13:01:09.144521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:01:09.144521Z digest=sha256:ffb87efbf5331716bace6c3d09255397e4da8c6373be16c7be0aa648aae893d7

Observation 68586a5d-58f0-4d7a-b69c-2d43d0d9999b · inbound

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs cites this paper.

FASTGEN: Fast and Cost-Effective Synthetic Tabular Data Generation with LLMs A Hybrid Convolutional Variational Autoencoder for Text Generation

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:27:16.095780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T15:27:16.058235Z digest=sha256:82bab8e8084b559f7bac5c5d7972191e7da107ffcd1904bfcea94d3e9fa8bcc2