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Paper Citation Record · LEDGER

Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.07596.

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

pith.paper-citation-record.v1
2306.07596 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:54.900052Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:07:44.117859Z

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 801ffbd4-1b02-4425-acae-dd7d95ff5fa4 · inbound

MagicQuill: An Intelligent Interactive Image Editing System cites this paper.

MagicQuill: An Intelligent Interactive Image Editing System Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-12T20:26:10.190989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:26:10.190989Z digest=sha256:c61abbc4d39fe587fedd3f20522d79a984c8eb88c9987f9c8cadb30e02ef60fb

Observation 2bf838ca-bda3-4cd0-bfd3-3e7e0c6633a8 · inbound

Generating Compositional Scenes via Text-to-image RGBA Instance Generation cites this paper.

Generating Compositional Scenes via Text-to-image RGBA Instance Generation Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T19:15:04.593399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:15:04.593399Z digest=sha256:1bdec0857a3c0e729d4192b170fe86ed0c9191903a43854920eb89fbf25afe61

Observation 12c08b92-bf81-488a-a2b3-2b4a6b5eafb4 · inbound

Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction cites this paper.

Dense-Face: Personalized Face Generation Model via Dense Annotation Prediction Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T05:04:28.172149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:04:28.172149Z digest=sha256:1ebdd9d43d47c67430b32392891bb487db499257c636b2487029960f6decf5dd

Observation c70bd387-45d9-42bc-8baa-ff59514fe79d · inbound

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking cites this paper.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:54.900052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:35:54.900052Z digest=sha256:e6afde320e9ab5c2d870ede9dcdcbb99097fcadcaff3fb1a9eb37591d969fae5

Observation 8e33bcea-f389-4d88-a2e5-99e04aa35385 · inbound

HarmonPaint: Harmonized Training-Free Diffusion Inpainting cites this paper.

HarmonPaint: Harmonized Training-Free Diffusion Inpainting Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:07:44.195771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T15:07:40.866063Z digest=sha256:317005f68b9ae3ebaab929b9db2940adbcb0206c256c9ac1b4f7a756e6a2fdef

Observation 0daf0761-92e1-4e03-8eb8-48f638521b41 · inbound

Borrowing from anything: A generalizable framework for reference-guided instance editing cites this paper.

Borrowing from anything: A generalizable framework for reference-guided instance editing Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T15:53:58.173192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:53:58.173192Z digest=sha256:26d825efed28751b5ad26a033364f315069664fd530d49cab8bbc53f17c3a8c2