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Paper Citation Record · LEDGER

Diff-Font: Diffusion Model for Robust One-Shot Font Generation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.05895.

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

pith.paper-citation-record.v1
2212.05895 v3

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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:39:45.300890Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T15:04:23.785892Z

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 3c14f90a-b700-4762-b3bb-7cb4b6e99a38 · inbound

A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond cites this paper.

A comprehensive survey of oracle character recognition: challenges, benchmarks, and beyond Diff-Font: Diffusion Model for Robust One-Shot Font Generation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:45.300890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:45.300890Z digest=sha256:282d680b9c98d371664c1a35f589a17fade733dd4f04d05b6c728674f55630fe

Observation 6ab6c305-ed4d-4181-8b54-5e3bd1d5648b · inbound

AnyText2: Visual Text Generation and Editing With Customizable Attributes cites this paper.

AnyText2: Visual Text Generation and Editing With Customizable Attributes Diff-Font: Diffusion Model for Robust One-Shot Font Generation

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:04:23.791937Z

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=2026-08-12T15:04:23.475161Z digest=sha256:cc5ad6d6ebd629656c90007407f0685d1f7aa3f5df07baba867526c09d9644bf

Observation e9f87ca3-0312-44ca-a15a-000886b79ca6 · inbound

Advancements in Chinese font generation since deep learning era: A survey cites this paper.

Advancements in Chinese font generation since deep learning era: A survey Diff-Font: Diffusion Model for Robust One-Shot Font Generation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T22:30:13.235578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:30:13.235578Z digest=sha256:5cc7a9ef7d67c904ebf4d59c2f8e3ac6d78279b70880fbb951c2a4e1c985e657