Paper Citation Record · LEDGER

Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1703.10960.

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

pith.paper-citation-record.v1
1703.10960 v3

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:07:39.960843Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:46:51.897033Z

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 e5e3a93c-e31a-47ca-8322-29db6569d4f4 · inbound

Mixture Content Selection for Diverse Sequence Generation cites this paper.

Mixture Content Selection for Diverse Sequence Generation Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-14T05:07:39.960843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 228ff686-d605-4ca2-92c5-3722faa37644 · inbound

TransSent: Towards Generation of Structured Sentences with Discourse Marker cites this paper.

TransSent: Towards Generation of Structured Sentences with Discourse Marker Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T04:55:49.621538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0c4141a-eda7-426b-98be-72c59ac02877 · inbound

Annotations Mitigate Post-Training Mode Collapse cites this paper.

Annotations Mitigate Post-Training Mode Collapse Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:17:23.878014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 89bde847-e40b-49ee-bfa7-e6123148ea3b · inbound

Variational Inference for Bird's Eye View Segmentation in Autonomous Driving cites this paper.

Variational Inference for Bird's Eye View Segmentation in Autonomous Driving Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T01:23:06.498248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.