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Paper Citation Record · LEDGER

One-Shot Multilingual Font Generation Via ViT

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.11342.

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

pith.paper-citation-record.v1
2412.11342 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:06:18.270268Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact7
  • verified fuzzy9
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db7f158a-274b-46a2-9e90-bce454ba6277 · outbound

This paper cites Multi-Content GAN for Few-Shot Font Style Transfer.

One-Shot Multilingual Font Generation Via ViT Multi-Content GAN for Few-Shot Font Style Transfer

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.173822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.173822Z digest=sha256:7b20b6d92ffc6bb6121b7693f1a00abde0d0dbcecf0d0d4f166c98267adffec2

Observation ebb8cdf3-d231-471f-9285-16faef3a8871 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

One-Shot Multilingual Font Generation Via ViT BEiT: BERT Pre-Training of Image Transformers

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.178622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.178622Z digest=sha256:b82cce97e9a53926aee7527167ba53a09c36b2bde55ed2cf37f7faba76b6a3ed

Observation 451ccffc-dbfd-4fd0-956f-c2342b8383c2 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

One-Shot Multilingual Font Generation Via ViT Improving language models by retrieving from trillions of tokens

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.182931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.182931Z digest=sha256:9ebc633bc684c617803be1d84320183855553fc83f22b74f7b1f13352882bc40

Observation 4bf83a5c-b95e-4b76-8b8b-c74454b7d127 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

One-Shot Multilingual Font Generation Via ViT An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.187167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.187167Z digest=sha256:b809733b568c9f7b4e9208c475b54a1d400285f5989d736b13ed4ff6c5f563f2

Observation 66c654cc-99eb-4a65-8247-0ecefad91fa5 · outbound

This paper cites ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation.

One-Shot Multilingual Font Generation Via ViT ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.191441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.191441Z digest=sha256:1327ce7ef07c1188c5ae76ed4cb985413c3f39dff544b13d24c4b6ea7c20fc1f

Observation 7321e65e-ff26-4b1c-b945-5dc703b993bc · outbound

This paper cites GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks.

One-Shot Multilingual Font Generation Via ViT GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:06:18.478318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.195917Z digest=sha256:f51e035d99f43553140e4a75d0cd4557bb527a872e37e29e21b0d2270a95dc38

Observation 3532f3f6-9081-4beb-ae16-93d52028a0b5 · outbound

This paper cites Diff-Font: Diffusion Model for Robust One-Shot Font Generation.

One-Shot Multilingual Font Generation Via ViT Diff-Font: Diffusion Model for Robust One-Shot Font Generation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.658861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.199794Z digest=sha256:821fec4ec31c009cecf7b49416a6847bc55b565f5043dc5a42ecd402b0fab991

Observation e9616580-0ede-4678-a40e-4b0794cf481c · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

One-Shot Multilingual Font Generation Via ViT Masked Autoencoders Are Scalable Vision Learners

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.203278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.203278Z digest=sha256:fe465d4959754ea7cd6cf5a0a4db2066d36c3569b075b350d88989cd99785382

Observation adcb2b13-4dcd-469c-a205-7b0231547095 · outbound

This paper cites Ar- bitrary Font Generation by Encoder Learning of Disentan- gled Features.

One-Shot Multilingual Font Generation Via ViT Ar- bitrary Font Generation by Encoder Learning of Disentan- gled Features

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.646265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.206624Z digest=sha256:a72d333492068db5825064bf552c1f7a020547146a63c73d17da910c1b8c3979

Observation c1365801-ca7d-4714-947e-8784373089a0 · outbound

This paper cites Few-shot Font Style Transfer between Different Languages.

One-Shot Multilingual Font Generation Via ViT Few-shot Font Style Transfer between Different Languages

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.633835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.209958Z digest=sha256:703b97a73c1aac03c8fa221255deba4f6d7fa3290a31088cc5a09fa3d2e1ed6c

Observation 547c82f9-5a2b-42ce-b45e-b92f1cc21a05 · outbound

This paper cites FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers.

One-Shot Multilingual Font Generation Via ViT FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformers

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:06:18.446686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.213271Z digest=sha256:7cf9405efca9a3536863fc56801c3cbf6290340b18cabcd3063f5fde6ccc1965

Observation f2b5c93d-74e0-45a8-b195-e01f955cdf5f · outbound

This paper cites Handwritten Text Generation from Visual Archetypes.

One-Shot Multilingual Font Generation Via ViT Handwritten Text Generation from Visual Archetypes

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.216928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.216928Z digest=sha256:485e55946dad64af6b3f9e0e3587052a577d7e60447a2644da31da34fc939347

Observation 76b6b5c3-dd15-42fc-ab40-5346694adea9 · outbound

This paper cites Hiera: A Hier- archical Vision Transformer without the Bells-and-Whistles,.

One-Shot Multilingual Font Generation Via ViT Hiera: A Hier- archical Vision Transformer without the Bells-and-Whistles,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.622776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.221107Z digest=sha256:e0978a2ddb20f3440d66dc4b182db21cc8928a16227341152bc9d731623fdd81

Observation 0c53e12b-2137-40f3-aa86-7025cbcab7bb · outbound

This paper cites Learning to Write Stylized Chinese Characters by Reading a Handful of Examples.

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=sha256:01680d87375e706230bf0b7128ffd56f79f6fe39d7ccd7b1ea29d663e305f735

Observation 71f7883e-66ee-4e7d-9e8a-4d52f4457c54 · outbound

This paper cites Few-Shot Font Generation by Learning Fine-Grained Local Styles.

One-Shot Multilingual Font Generation Via ViT Few-Shot Font Generation by Learning Fine-Grained Local Styles

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:06:18.408210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.228739Z digest=sha256:9711dc9996de509ca78331be422453065d1e26c08040a2c466314d8edb80169b

Observation e7c3f5f5-6155-4d63-8870-110ae226cba0 · outbound

This paper cites kaonashi-tyc/Rewrite, 2024.

One-Shot Multilingual Font Generation Via ViT kaonashi-tyc/Rewrite, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.611635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.232537Z digest=sha256:5b4c9f6c0559ef0c81512e5e8372e684d1abad4237b37504b4c18f2d15a9c230

Observation 05e4fd56-b89c-4c79-be01-ced0e43d3f0d · outbound

This paper cites kaonashi-tyc/zi2zi, 2024.

One-Shot Multilingual Font Generation Via ViT kaonashi-tyc/zi2zi, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.601570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.236092Z digest=sha256:baa04d66e8262641a2e1e1703816e38ef46604727aced87a901cc52cded6d4ea

Observation 3889af2f-1652-49b3-9a39-278dbbb5fe4e · outbound

This paper cites Attention Is All You Need.

One-Shot Multilingual Font Generation Via ViT Attention Is All You Need

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T15:06:18.239674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:06:18.239674Z digest=sha256:5dc8d0c10d641465791cb2ab803da97f4e8b372143492064bef61edbd4276a63

Observation 56ee5571-99b0-49bd-8c96-6ebe39f0a088 · outbound

This paper cites ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach.

One-Shot Multilingual Font Generation Via ViT ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approach

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:06:18.382499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.243641Z digest=sha256:818dc0bc7460ee6372da0c0fe0787ac6e28888c25ed68ca8e257a819a04acc57

Observation 961c98cb-3eba-4a00-8e8a-841c61740249 · outbound

This paper cites DG-Font: Deformable Generative Networks for Unsupervised Font Generation.

One-Shot Multilingual Font Generation Via ViT DG-Font: Deformable Generative Networks for Unsupervised Font Generation

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:06:18.364719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.247598Z digest=sha256:3f6c5e829388c0ca5f4bca421433534ee8b7e77b90cdbd61af527d686d0dc5c6

Observation 592a336d-bc05-4755-9e1f-4af238a29993 · outbound

This paper cites MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks,.

One-Shot Multilingual Font Generation Via ViT MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.588840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.251600Z digest=sha256:fa63e43755c5802f4b98e5424716def04ac6172dcc8bada22ea4d463854b9a8f

Observation d1e6d48c-3236-4d0a-bb99-39ddef09a515 · outbound

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

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:a5025ca65d6ed3197a046e87bb1ce2a327bb6c531bb008f93381c3c895f05763

Observation 58bc0640-efad-4433-8c7a-7d3bc8864e69 · outbound

This paper cites Few Shot POP Chinese Font Style Transfer using CycleGAN.

One-Shot Multilingual Font Generation Via ViT Few Shot POP Chinese Font Style Transfer using CycleGAN

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.575893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.263177Z digest=sha256:c5233bacccbd3a2dea533d36e894378e9033483651ab4cb4e0413f67e98adf2c

Observation 2b4f8e45-6f5f-4d82-8ed4-586ad954b103 · outbound

This paper cites Sep- arating Style and Content for Generalized Style Transfer,.

One-Shot Multilingual Font Generation Via ViT Sep- arating Style and Content for Generalized Style Transfer,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:06:18.562961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.266594Z digest=sha256:aab601e07e5193af6243f959ceed00b3c65802dc3105a940de35249fa83bc721

Observation 9e44c02c-fd45-4a17-b561-1e59c49c04a1 · outbound

This paper cites Separating Style and Content for Generalized Style Transfer.

One-Shot Multilingual Font Generation Via ViT Separating Style and Content for Generalized Style Transfer

Reference 2018

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:06:18.315262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.270268Z digest=sha256:eb172b11729c6653204beeace1e3d1cf5eb08d966e245f9f0c541656a68ddc08

Observation 37169738-0629-4ad7-9f18-61f17b314e40 · outbound

This paper cites MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks.

One-Shot Multilingual Font Generation Via ViT MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks

Reference 2023

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:06:18.347360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T15:06:18.255275Z digest=sha256:16959ad0d38defbca967476180bb7f6446731f1f3f7cf5f54f6eefb84f30fd72

Pith citing papers

No inbound Pith citation observations are available.