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Paper Citation Record · LEDGER

Make It So: Steering StyleGAN for Any Image Inversion and Editing

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.14403.

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

pith.paper-citation-record.v1
2304.14403 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 2026-08-12T15:17:29.444666Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T05:46:06.993094Z

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 98623a91-7f15-4c89-aad0-e43dde8fbe77 · inbound

MyTimeMachine: Personalized Facial Age Transformation cites this paper.

MyTimeMachine: Personalized Facial Age Transformation Make It So: Steering StyleGAN for Any Image Inversion and Editing

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T15:17:29.444666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:17:29.444666Z digest=sha256:826a83bde2c5617e93bb5212c7d51bf5aa7954a0852c792505966abe73a99616

Observation 797d7b51-e726-4ec7-8aa5-8114b62e7992 · inbound

LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting cites this paper.

LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting Make It So: Steering StyleGAN for Any Image Inversion and Editing

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:46:06.999216Z

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=2026-08-12T05:46:06.413029Z digest=sha256:0a0ae6a935bddf4ca32c9fa045aea13f5d42755de18d2573bec398a9091d3788