Pith. sign in

Paper Citation Record · LEDGER

GRIG: Few-Shot Generative Residual Image Inpainting

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.12035.

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

pith.paper-citation-record.v1
2304.12035 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:33:17.942904Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:09:10.819503Z

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 73254ffd-cd26-4a63-aeab-3b2a94d33bad · inbound

From Noise to Nuance: Advances in Deep Generative Image Models cites this paper.

From Noise to Nuance: Advances in Deep Generative Image Models GRIG: Few-Shot Generative Residual Image Inpainting

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T17:33:17.942904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:33:17.942904Z digest=sha256:f01f0814240302aa5bbdd42cf0ce8637b6032c52ff50f9e7019449791637c623

Observation ff581ca1-8c9d-4d0f-b470-83fa76581e36 · inbound

FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing cites this paper.

FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing GRIG: Few-Shot Generative Residual Image Inpainting

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T01:05:49.748296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:05:49.748296Z digest=sha256:854098e7e9991fab8df7e6c8ed15379bc631980ce701418200370cd7d31e6a08

Observation 3b5201ec-4cb9-4595-a27d-5c87c32cd598 · inbound

Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration cites this paper.

Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration GRIG: Few-Shot Generative Residual Image Inpainting

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T23:09:10.825812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T23:09:10.649569Z digest=sha256:bdda72b0b03904b8d736da15005177d9e89805716636d025f77fa3625370399d