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Paper Citation Record · LEDGER

FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.12142.

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

pith.paper-citation-record.v1
2312.12142 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:06:18.259321Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:47:51.770222Z

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 d1e6d48c-3236-4d0a-bb99-39ddef09a515 · inbound

One-Shot Multilingual Font Generation Via ViT cites this paper.

One-Shot Multilingual Font Generation Via ViT FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.259321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.259321Z digest=sha256:9dfc713b93ac0d4a19920dff8ef751b00fec677b71b24e9e678f229af7cf7930

Observation 083516f2-012f-4281-8d0d-664fe25687e9 · inbound

Predicting the Original Appearance of Damaged Historical Documents cites this paper.

Predicting the Original Appearance of Damaged Historical Documents FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:47:51.778443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T14:47:51.670268Z digest=sha256:fa8b811655aeaf57faafde13b534e5acf552661c517818f259d3839ae4f5e562