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Paper Citation Record · LEDGER

Generative Adversarial Networks as Variational Training of Energy Based Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1611.01799.

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

pith.paper-citation-record.v1
1611.01799 v1

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:43:14.367774Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:45:24.933941Z

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 2b170ebd-691c-402b-9ed5-5b56f66fee57 · inbound

OOD Detection with immature Models cites this paper.

OOD Detection with immature Models Generative Adversarial Networks as Variational Training of Energy Based Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T17:43:14.367774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:43:14.367774Z digest=sha256:4a18c12092e4b6897a71b3ebfd5a1c365643832dab2262b019c60a25dda8086f

Observation 791957fe-c66b-4335-be96-4f2b0db02347 · inbound

Exploring bidirectional bounds for minimax-training of Energy-based models cites this paper.

Exploring bidirectional bounds for minimax-training of Energy-based models Generative Adversarial Networks as Variational Training of Energy Based Models

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:45:24.939791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T10:45:24.894951Z digest=sha256:104943805c53f56de3281f55489ab2779082e37b38d63c67bbf9975a5f2c2316