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Paper Citation Record · LEDGER

Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1712.06424.

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

pith.paper-citation-record.v1
1712.06424 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:06:18.224628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:31:08.548065Z

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 0c53e12b-2137-40f3-aa86-7025cbcab7bb · inbound

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

One-Shot Multilingual Font Generation Via ViT Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.224628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.224628Z digest=sha256:0f95fd593c620728589355416fd669980a1f1ce286c8010e03f9128c85c7595d

Observation ece5674b-b9ce-421e-816f-d12964b5a748 · inbound

MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories cites this paper.

MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categories Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T10:38:10.095447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:38:10.095447Z digest=sha256:2cfaf3b65aea5efbdf41e14cb21b3ef907a182f4cc759232e68ba85bc33149ed

Observation 73c076f3-b14a-4074-8f1c-8ce55ea46a45 · inbound

DRG-Font: Dynamic Reference-Guided Few-shot Font Generation via Contrastive Style-Content Disentanglement cites this paper.

DRG-Font: Dynamic Reference-Guided Few-shot Font Generation via Contrastive Style-Content Disentanglement Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:50:56.713165Z

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=pdf_text observed=2026-05-10T13:13:30.596448Z digest=sha256:a925ed46a6499c60c7a9f8c6c8d2bea4ef71e23de1af8a1cc6f16e8ac152e1ae

Observation 9c06f945-dad3-43a2-b039-183bb55216cf · inbound

InkDiffuser: High-Fidelity One-shot Chinese Calligraphy via Differentiable Morphological Optimization cites this paper.

InkDiffuser: High-Fidelity One-shot Chinese Calligraphy via Differentiable Morphological Optimization Learning to Write Stylized Chinese Characters by Reading a Handful of Examples

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T22:50:56.713165Z

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=pdf_text observed=2026-05-09T16:29:49.152092Z digest=sha256:9d9f781e2b69b7cc8b637113dcb152853e687f17140929b68d32aad6df3a2e12