Pith. sign in

Paper Citation Record · LEDGER

Avoiding Latent Variable Collapse With Generative Skip Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 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 2026-08-07T04:42:37.694862Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T21:24:11.898508Z digest=sha256:2aa103ba3aef22e60b21709f7dfb0e3da2b080c95dc4a934d044faa66433659a

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:d2a24fbc8c791728992c77e75e9793fd8763c6352de42c2f31c064fd9aa742e2