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Paper Citation Record · LEDGER

Conditional Adversarial Generative Flow for Controllable Image Synthesis

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.01782.

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

pith.paper-citation-record.v1
1904.01782 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:33:40.371587Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T18:57:06.748566Z

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 47c0b622-f6b6-4cef-b894-a3f50e9d4558 · inbound

Shaping Belief States with Generative Environment Models for RL cites this paper.

Shaping Belief States with Generative Environment Models for RL Conditional Adversarial Generative Flow for Controllable Image Synthesis

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:57:06.753125Z

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=2026-05-25T18:56:19.459447Z digest=sha256:dbf0492258703423456b4d92c2a4854ace71e8cd19a8cc273db0f226b48560d0

Observation ea66c863-f248-444f-9d1c-87fdf85366bd · inbound

StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN cites this paper.

StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN Conditional Adversarial Generative Flow for Controllable Image Synthesis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T23:33:40.371587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:33:40.371587Z digest=sha256:884011246e7b5830a342cd65761d327e0332fb20a653e04f5696c53ab59ae6d7