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Paper Citation Record · LEDGER

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.00654.

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

pith.paper-citation-record.v1
2010.00654 v3

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 2026-08-10T21:18:52.962925Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T03:56:19.944849Z

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 995bec05-ee45-4826-97f9-fc1b06939c13 · inbound

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed cites this paper.

Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-17T03:56:19.946917Z

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=2026-05-17T03:56:19.837017Z digest=sha256:1c6345f976c0ae10943a8dda4cbe2d7fe48b085888dd5cecb079d0c812c56df0

Observation 1b83fe17-e8cb-4bed-8be3-7cbefaae63b3 · inbound

The GAN is dead; long live the GAN! A Modern GAN Baseline cites this paper.

The GAN is dead; long live the GAN! A Modern GAN Baseline VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:52.962925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:52.962925Z digest=sha256:61fe7fec8751b68b5c85e108ad3b6ac26ad33fd79d65cf9195bb45b94d9cf59b