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Paper Citation Record · LEDGER

Avoiding Latent Variable Collapse With Generative Skip Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.04863.

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

pith.paper-citation-record.v1
1807.04863 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:57:25.603332Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T21:24:57.709389Z

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 6c5119d0-720f-47a8-b7b3-9433f94d5ce5 · inbound

Autoencoding sensory substitution cites this paper.

Autoencoding sensory substitution Avoiding Latent Variable Collapse With Generative Skip Models

Reference 204

Resolution
verified exact
local_arxiv, observed 2026-05-24T21:24:57.712139Z

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.

source=pdf_text observed=2026-05-24T21:24:11.898508Z digest=sha256:a0b20e69a9df86c103a8eef8e154b0a9864e2db697f9e26644fb8bcb3b61cdc3

Observation 4cd60cff-ea69-4539-8726-d22edb274c7f · inbound

Improve variational autoEncoder with auxiliary softmax multiclassifier cites this paper.

Improve variational autoEncoder with auxiliary softmax multiclassifier Avoiding Latent Variable Collapse With Generative Skip Models

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-14T12:57:25.603332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:57:25.603332Z digest=sha256:b9a2e37bb863be6dd6c9538c0c4677542b7e5b75d84c697e05e15a3674ac6e2c

Observation e30a2bb2-db96-4a9f-9b21-b4ad1387e7f5 · inbound

Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior cites this paper.

Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior Avoiding Latent Variable Collapse With Generative Skip Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T12:31:33.977816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:31:33.977816Z digest=sha256:b90262daed856bba18538e9b376e30c87b0191b5440ca499203b61239ca88068

Observation cc872531-905a-42a1-a1e9-7fbf2733db18 · inbound

Mixture Content Selection for Diverse Sequence Generation cites this paper.

Mixture Content Selection for Diverse Sequence Generation Avoiding Latent Variable Collapse With Generative Skip Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T05:07:39.713936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:07:39.713936Z digest=sha256:75eb592641497973382959cab84fd48ecf0b2b57048650810e222b6886cd4fe0

Observation 10dca33e-7c64-4834-bcfa-294fdc418b65 · inbound

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection cites this paper.

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection Avoiding Latent Variable Collapse With Generative Skip Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:37.694862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:37.694862Z digest=sha256:957b49573b978a0972ef8716e93c8a7014bfc90ccf43824dfe4e348a1487dff0