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Paper Citation Record · LEDGER

SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.05239.

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

pith.paper-citation-record.v1
2312.05239 v7

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:02:37.497170Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T13:02:37.761262Z

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 c46bfa33-803d-4f3f-a489-07f204d93b8f · inbound

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration cites this paper.

InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:02:37.768366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T13:02:37.497170Z digest=sha256:0f245bc1fb6b4bfdaf55fb653edb0c5734a7b2f6cc46719da992dee364afbeca

Observation feeddfa1-1b50-4089-8be5-5feb27eeb8b5 · inbound

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts cites this paper.

Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation

Reference 276

Resolution
unresolved
no resolver link, observed 2026-08-01T16:42:35.514436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:42:35.514436Z digest=sha256:f39037b205eab33149355603e708c31541be2c6455dc2142b8a7dbd411756159