Paper Citation Record · LEDGER

DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1805.12352.

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

pith.paper-citation-record.v1
1805.12352 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:46:41.629374Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T05:07:40.807665Z

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 d0b7d4cf-d8a3-4d78-a235-709686269b14 · inbound

Conditional Flow Variational Autoencoders for Structured Sequence Prediction cites this paper.

Conditional Flow Variational Autoencoders for Structured Sequence Prediction DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-14T11:26:52.496307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a90676ad-29cf-4990-a9b2-92d1f2cef8e4 · inbound

Implicit Deep Latent Variable Models for Text Generation cites this paper.

Implicit Deep Latent Variable Models for Text Generation DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T10:19:26.411237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4e46b7-b0ab-44c0-8014-ea8eaafebff7 · inbound

Mixture Content Selection for Diverse Sequence Generation cites this paper.

Mixture Content Selection for Diverse Sequence Generation DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:07:40.812245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1b774fb1-bb1f-4b2a-97b4-524ac712ac62 · inbound

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models cites this paper.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T21:46:41.629374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.