Pith. sign in

Paper Citation Record · LEDGER

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition?

As of 18 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2508.09936.

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

pith.paper-citation-record.v1
2508.09936 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:46:56.278412Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

72 of 72 outbound references displayed

  • verified exact1
  • verified fuzzy69
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39d9c13f-537a-4cc7-ba87-771f4ae60dfb · outbound

This paper cites Boosting offline handwritten text recog- nition in historical documents with few labeled lines.IEEE Access, 2021.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Boosting offline handwritten text recog- nition in historical documents with few labeled lines.IEEE Access, 2021

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.228636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.038396Z digest=sha256:93ecb077b009e42a1b5907f0d129bc4a587651246a4a62038bf3371fa5f2c557

Observation 2162ddb3-9b53-4860-b553-40af0c136b23 · outbound

This paper cites Handwrit- ing Recognition in Low-Resource Scripts Using Adversarial Learning.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Handwrit- ing Recognition in Low-Resource Scripts Using Adversarial Learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.217355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.042394Z digest=sha256:4b0b9e096c10fb2d696896b86f1c807ea220eded30e09fe3d98f93ec45136000

Observation 0bfb1c5a-33ef-4678-91f2-86b90ea38e75 · outbound

This paper cites Handwriting Transformers.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Handwriting Transformers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.205695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.046316Z digest=sha256:5c07f6c38bdf3e6d35ed2afa322caebe54772325c5703f790e2ae728a2497f5f

Observation aeb2fb7f-5a37-4900-b15c-3fffdabb9d14 · outbound

This paper cites Sutherland, Michael Arbel, and Arthur Gretton.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Sutherland, Michael Arbel, and Arthur Gretton

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.194774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.050088Z digest=sha256:25c082ec2170c51a5ce63abcb753227108ac7864d7de0c328dd2c030251c97f6

Observation e058ecd8-3ece-4add-a4b6-d4a561973d2d · outbound

This paper cites Joint line segmentation and transcrip- tion for end-to-end handwritten paragraph recognition.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Joint line segmentation and transcrip- tion for end-to-end handwritten paragraph recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.183166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.053620Z digest=sha256:066ba26f0f6437ce4e3a4081475711b8c7120c4899d55670b265be36e90e8bb1

Observation 4a632420-0ef9-4092-a7fd-80dc4e769f0a · outbound

This paper cites Gated convolu- tional recurrent neural networks for multilingual handwriting recognition.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Gated convolu- tional recurrent neural networks for multilingual handwriting recognition

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.172199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.057098Z digest=sha256:4d11dd8c5b74f825ea16c02f95f3e1c6f67edf11968751f73cf24d25ed5990d4

Observation b42cdad3-fa64-4d76-8aaa-ac6f37d7ebf5 · outbound

This paper cites Scan, Attend and Read: End-to-End Handwrit- ten Paragraph Recognition with MDLSTM Attention.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Scan, Attend and Read: End-to-End Handwrit- ten Paragraph Recognition with MDLSTM Attention

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.161180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.060805Z digest=sha256:2aaf232672ec2c0aa15e3637a04b1e9840eff20f5b3bd204675ec40a13bbc0a3

Observation a83c194a-d0c6-41b4-be94-b6d26dab32d6 · outbound

This paper cites Learning to Read L’Infinito: Handwritten Text Recognition with Synthetic Training Data.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Learning to Read L’Infinito: Handwritten Text Recognition with Synthetic Training Data

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.149821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.064635Z digest=sha256:d39dd5f861f929f97add7822bf92cd907ca2166cb50ac737d53bf2a782453c7f

Observation 28e54554-223d-4ba1-8632-26e3d3f700a6 · outbound

This paper cites Boosting Modern and Historical Handwrit- ten Text Recognition with Deformable Convolutions.IJDAR, pages 1–15, 2022.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Boosting Modern and Historical Handwrit- ten Text Recognition with Deformable Convolutions.IJDAR, pages 1–15, 2022

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.138980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.067822Z digest=sha256:f21f8c6ada77e551416299c9dc5c14b13707d1a0c96a32598282b25e8d0c62e0

Observation 06fd4748-b01c-4b0d-9b4b-80dca0420bd2 · outbound

This paper cites The lam dataset: A novel benchmark for line- level handwritten text recognition.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? The lam dataset: A novel benchmark for line- level handwritten text recognition

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.127938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.071060Z digest=sha256:21bc1b576ec4f72925a133faf034987baab99339ed7ad3b8afab37b118da3ef2

Observation f5292f64-8343-459a-8868-0070da8af5cc · outbound

This paper cites Handwriting recognition of historical documents with few labeled data.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Handwriting recognition of historical documents with few labeled data

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.116176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.074220Z digest=sha256:e9fc55e5d16fb0dcaed17198ae77ed47498e9c2554f85059e79603fea9313371

Observation 3c6b2ccf-d3c9-4482-ab12-111bae7f018e · outbound

This paper cites A ranking-based feature selection approach for handwritten character recogni- tion.Pattern Recognit.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? A ranking-based feature selection approach for handwritten character recogni- tion.Pattern Recognit

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.104927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.077867Z digest=sha256:86f2d7cccf55e57f49a2f9d0260f871fb47dc092313301f97f2aa9f6bd291494

Observation a73e880a-5a4a-485a-b4f3-ea3009d1f61d · outbound

This paper cites KuroNet: Pre-Modern Japanese Kuzushiji Character Recog- nition with Deep Learning.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? KuroNet: Pre-Modern Japanese Kuzushiji Character Recog- nition with Deep Learning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.093647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.081680Z digest=sha256:196df83b5efb56190dce2db71eaa93fcde11633386ae59e49d2d0afc73d21379

Observation 25a47d8d-ab71-4959-acf6-a16fb6776a8a · outbound

This paper cites Clark, Dan Garrette, Iulia Turc, and John Wi- eting.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Clark, Dan Garrette, Iulia Turc, and John Wi- eting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.082198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.084867Z digest=sha256:66e34179df87ee8fef311f453e26766e2ae674ecb1f3c85137635398ce6abf57

Observation ae378b91-4cd2-4695-83fa-a20c5b65ebf4 · outbound

This paper cites Watch Your Strokes: Improving Handwritten Text Recognition with Deformable Convolutions.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Watch Your Strokes: Improving Handwritten Text Recognition with Deformable Convolutions

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.071029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.088405Z digest=sha256:1d8cc54f07aa516c17604452463379b6344381a55e9a587441f7c7d43f94b1b3

Observation d19ccddf-fd14-4805-98bb-8536f098a3e2 · outbound

This paper cites Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.059818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.091729Z digest=sha256:b7719b989c92a45d94e5904135b70542d8554557d6de564915b8ad590cee28be

Observation 55858acb-ae7b-4d56-9878-8377cc673f01 · outbound

This paper cites Deformable convolutional networks.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Deformable convolutional networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.048219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.095005Z digest=sha256:c444a7479c6601b083a86e734d64c46984bd40336b5c71104bd42e8845a5a7f2

Observation 0b9825cb-d8bd-4461-9ea9-f7738d251ecf · outbound

This paper cites Improving handwritten OCR with training samples generated by glyph conditional denoising diffusion probabilistic model.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Improving handwritten OCR with training samples generated by glyph conditional denoising diffusion probabilistic model

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.036956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.098169Z digest=sha256:82d2b31f94bd0899b175b74decdafba265f0bdaa366d3cbad67cbda57962c30b

Observation 1d2e99ac-9d10-449c-ae4b-ca447adb9476 · outbound

This paper cites Transcription alignment of Latin manuscripts using hidden Markov models.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Transcription alignment of Latin manuscripts using hidden Markov models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.025230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.101482Z digest=sha256:fceafb0799a84e0209dfa3a4a0e349a40eb9119b44a0a9af16e2b288467e2578

Observation ecf969da-c0c2-4eea-96bf-e25ed339567b · outbound

This paper cites Lexicon-free handwritten word spotting using character HMMs.Pattern Recognit.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Lexicon-free handwritten word spotting using character HMMs.Pattern Recognit

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.014264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.104754Z digest=sha256:bcc7d09b012722faebc4a8225f0021ce5396f0f00401a71c569eaa980a268aaf

Observation 8d8c34b5-eed4-4749-bdd5-a32116c546ab · outbound

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

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:57.002793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.108257Z digest=sha256:02b6b6e299617950b913bd49d0a7fbd0111bfff44211b001dbbec58bf5e73a33

Observation ed7a2320-8586-4d0f-849f-42b56a0cf451 · outbound

This paper cites HiGAN: Handwriting Imita- tion Conditioned on Arbitrary-Length Texts and Disentan- gled Styles.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? HiGAN: Handwriting Imita- tion Conditioned on Arbitrary-Length Texts and Disentan- gled Styles

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.991047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.111844Z digest=sha256:22ba4bd6da119871365c56459d50df0a642b5579636a148676e7aa9d24703933

Observation 4201c6aa-b495-4552-bdab-cb64103c263b · outbound

This paper cites Hi- GAN+: Handwriting Imitation GAN with Disentangled Rep- resentations.ACM Trans.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Hi- GAN+: Handwriting Imitation GAN with Disentangled Rep- resentations.ACM Trans

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.979617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.115285Z digest=sha256:a33ac78bd86ce1867cdcc03fdd77d964ce1bfc986150ced7f541b2f403d179cf

Observation 087c3a3e-b45e-4c7f-a8a3-9219aaa382e4 · outbound

This paper cites Generative Adversarial Nets.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Generative Adversarial Nets

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.967456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.118599Z digest=sha256:5eed6dc416c537f453d76b60fdc269fa3a251c375b8eb9a7bb2a147cfbafac84

Observation 6d7705ff-2987-4529-aa64-b2188696dd07 · outbound

This paper cites Transfer learning for handwriting recognition on historical documents.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Transfer learning for handwriting recognition on historical documents

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.956010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.122299Z digest=sha256:c9cdc26e9040a212bb4b63804d2f4c374f3a214384266c0626a9d4a8b9ea4de9

Observation 04786dae-90fc-4972-a82a-fac391066fe7 · outbound

This paper cites Offline handwrit- ing recognition with multidimensional recurrent neural net- works.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Offline handwrit- ing recognition with multidimensional recurrent neural net- works

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.944229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.125541Z digest=sha256:3845a895551d4a74d834e241b83db98eeb83bd89c45eb1df256f5f0675332f1f

Observation c5566ef6-b0fd-411d-8974-6be45dd8b5f2 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.932386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.128911Z digest=sha256:467d50aeaa064213b970056e8d2b36453c2e0f3842ddfb14e4101d8e40017e2f

Observation 9e12ef64-c1c6-4f70-af78-bcaf395a67e8 · outbound

This paper cites Boosting handwriting text recognition in small databases with transfer learning.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Boosting handwriting text recognition in small databases with transfer learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.920763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.132536Z digest=sha256:2b024ffe4598ef91a91e7780cf321d71b6ffba60309f31f7ca0542e74e80d6c4

Observation 5f90988f-24c1-4452-afa9-fc9755522b25 · outbound

This paper cites GANwriting: Content- Conditioned Generation of Styled Handwritten Word Im- ages.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? GANwriting: Content- Conditioned Generation of Styled Handwritten Word Im- ages

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.908761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.135731Z digest=sha256:8220bc815731feb152054f871c7d50c701693a4b587f7b09826685e802c2809c

Observation f9795441-2dfb-4b0f-84e5-79803278dc30 · outbound

This paper cites Content and style aware generation of text-line images for handwriting recognition.IEEE Trans.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Content and style aware generation of text-line images for handwriting recognition.IEEE Trans

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.896900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.138769Z digest=sha256:49e50a4f296cfdb0d391a082ce07e5e1dd7a762f1fb49316c9396577f1bf7e54

Observation 827cf506-e7cb-4142-93ab-70fe96b400fd · outbound

This paper cites Pay attention to what you read: non- recurrent handwritten text-line recognition.Pattern Recog- nit., 129:108766, 2022.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Pay attention to what you read: non- recurrent handwritten text-line recognition.Pattern Recog- nit., 129:108766, 2022

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.885449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.142007Z digest=sha256:3f19a82c1d602434de9fe72169fbfaf643816ebafe44c0e623cc70f31f9ece44

Observation 6430d2d9-e430-4953-9f31-7c0c582db2ad · outbound

This paper cites Auto-Encoding Vari- ational Bayes.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Auto-Encoding Vari- ational Bayes

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.874024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.145219Z digest=sha256:60c68a664945393ec996ab2fe0a9c7d954cc8bdb7690f30768a442b242bd6bfb

Observation 55918fcb-9229-40ab-9d21-47518dff5daf · outbound

This paper cites TextStyleBrush: Transfer of Text Aesthetics from a Single Example.IEEE Trans.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? TextStyleBrush: Transfer of Text Aesthetics from a Single Example.IEEE Trans

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.863076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.148351Z digest=sha256:e543981952c64dfc0ed41b957ce2a2f988220bca99288f4bdd7353cc1210543c

Observation 6b04bd2e-9d13-481d-93e8-4afdda663d8a · outbound

This paper cites TrOCR: Transformer-based optical character recognition with pre- trained models.AAAI, 2023.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? TrOCR: Transformer-based optical character recognition with pre- trained models.AAAI, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.851939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.151429Z digest=sha256:005fa696fa323b518fef1a52dc1ee1cf6e3b91a374dd518ea1f78e86b87a04f0

Observation cc66849f-4328-4ae0-aa03-20a2eb9db9ad · outbound

This paper cites Diffusion models for Handwriting Generation.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Diffusion models for Handwriting Generation

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:56.154776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:56.154776Z digest=sha256:34960648e5ce1bc442a0db7aed56e57dc03cbfef9e1bc9fac7117d329ac47894

Observation 5dbff6df-8e82-4030-8c30-8a3f2ff7e0b7 · outbound

This paper cites Conditional Generative Adversarial Nets.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Conditional Generative Adversarial Nets

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T20:46:56.158698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:46:56.158698Z digest=sha256:de0c7e1774e6a149fe2d40b36a949aefc39fc27e44fe6cd36ff3d8b1e6c3b06d

Observation c90182f6-0a54-4472-a086-331a5d49e883 · outbound

This paper cites Full-page text recognition: Learning where to start and when to stop.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Full-page text recognition: Learning where to start and when to stop

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.840590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.162154Z digest=sha256:bbb03a319758c429c975495c97301fb3d74bb0374b4e4107c3bdf73e0e846ccb

Observation 665e92d4-b02a-4152-9152-54e542abf803 · outbound

This paper cites A Survey of Historical Document Im- age Datasets.IJDAR, 25(4):305–338, 2022.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? A Survey of Historical Document Im- age Datasets.IJDAR, 25(4):305–338, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.829856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.165346Z digest=sha256:86e5ade3e0a5211a54fb4e530bbfeee7c7ccc6a8b46d9ce0ddb85362bef190a6

Observation 8870e920-6e83-4f29-9f37-1b4caeed4721 · outbound

This paper cites WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.818445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.168465Z digest=sha256:75ec3e214ad5dbee4356908c152a54c8c97c0262751b0ad971a14617b6f300aa

Observation 0b40cb65-cff5-4516-b334-0007c21e0c7a · outbound

This paper cites DiffusionPen: Towards Controlling the Style of Handwritten Text Generation.ECCV, 2024.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? DiffusionPen: Towards Controlling the Style of Handwritten Text Generation.ECCV, 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.807399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.171645Z digest=sha256:b1ed954c0456961da8bcc33e5eb60b380bd88decf77b05b841a4e9672a9d7860

Observation cab4b383-0ab1-4092-9d64-26118dddb207 · outbound

This paper cites Rethinking HTG Evaluation: Bridg- ing Generation and Recognition.ECCVW, 2024.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Rethinking HTG Evaluation: Bridg- ing Generation and Recognition.ECCVW, 2024

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.796094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.174912Z digest=sha256:fd2279ccce9e214baf673e9f8da69812ac35f5c6332397f9b07913feb8eea9a2

Observation 27c6fe94-cc4c-4c86-a7d9-8360cac04f0b · outbound

This paper cites Dropout improves recurrent neural net- works for handwriting recognition.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Dropout improves recurrent neural net- works for handwriting recognition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.784964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.178282Z digest=sha256:ca44047d7ff4f9db2ff0dde1149d76a5687e2324206ab69d32a7aa05736e814d

Observation 22944b2b-1e25-4348-9a42-3272973766aa · outbound

This paper cites Evaluating Synthetic Pre-Training for Handwrit- ing Processing Tasks.Pattern Recognit.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Evaluating Synthetic Pre-Training for Handwrit- ing Processing Tasks.Pattern Recognit

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.773185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.181788Z digest=sha256:c3353c69ad8392a93ae313d7392de0e5200216ef904f1ac886987af294229e61

Observation 38111493-a675-4ede-a7be-5563e1a7ca4d · outbound

This paper cites Hand- written Text Generation from Visual Archetypes.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Hand- written Text Generation from Visual Archetypes

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.667623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.185359Z digest=sha256:c5a63cde549bbe023530fc62e3e82935cae29444fed2b59fcba5ef92b1229d84

Observation 08119c78-9de7-491a-92d9-a5266951b7ed · outbound

This paper cites How to choose pretrained handwriting recognition models for single writer fine-tuning.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? How to choose pretrained handwriting recognition models for single writer fine-tuning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.656805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.188775Z digest=sha256:595259acce7942941d2bcacaa1027ab2098438a95a28b711d4d83e79ba68d5bf

Observation 92593e63-2d22-4e61-8f1a-2eed7728eb2e · outbound

This paper cites HWD: A Novel Evaluation Score for Styled Handwritten Text Generation.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? HWD: A Novel Evaluation Score for Styled Handwritten Text Generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.645684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.192151Z digest=sha256:309186267cb3c9109b525a270e4c54cd12c668be3e3b5eb9d55abb85a780a0b6

Observation d79657c1-bc56-45d2-aadb-be51bf19bb13 · outbound

This paper cites Zero-Shot Styled Text Image Generation, but Make It Autoregressive.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Zero-Shot Styled Text Image Generation, but Make It Autoregressive

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.633924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.195176Z digest=sha256:ffda2b281bf475e13feb2019d131e53c153acc579ca1b7632dbb74e4d7e31015

Observation a72bd02c-c5e9-4c74-8ae7-08593de14a67 · outbound

This paper cites Are multidimensional recurrent layers re- ally necessary for handwritten text recognition? InICDAR,.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Are multidimensional recurrent layers re- ally necessary for handwritten text recognition? InICDAR,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.622414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.198384Z digest=sha256:74abdd870d5dc04283a99fd0a82df24a5917ddde3b2e768b65f4926b71785ada

Observation a7401880-39d8-43b7-92d6-c58ec21b44b9 · outbound

This paper cites V olumetric fast fourier convolution for detecting ink on the carbonized herculaneum papyri.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? V olumetric fast fourier convolution for detecting ink on the carbonized herculaneum papyri

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.611223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.202117Z digest=sha256:a2666300a01ef2f101df2e00473f255bf0f3492c6fd15974ab85d99187d42a38

Observation 5a782fe1-5e81-477e-bf63-856c9e64aea6 · outbound

This paper cites Alfie: Democratising RGBA Image Generation with No.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Alfie: Democratising RGBA Image Generation with No

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.599872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.205102Z digest=sha256:98d080ae01a729016fff305af2e16008f598baef3ccda4cb095386f8b2aaf914

Observation 0417844f-3f52-47cc-b3b8-4941d58840f2 · outbound

This paper cites Binarizing documents by leveraging both space and frequency.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Binarizing documents by leveraging both space and frequency

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.588463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.208117Z digest=sha256:8e93cb3ff8056eb55d241d59aedf8d4253f8ed56767c2641a1a28fa340d329dd

Observation d14f51ff-be94-4d58-b51d-0706d2d02405 · outbound

This paper cites Merging and splitting diffusion paths for se- mantically coherent panoramas.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Merging and splitting diffusion paths for se- mantically coherent panoramas

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.576837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.211330Z digest=sha256:040cd28b82d0ea95c3e2d79bd4dd2971a1327e31a08a55557a784021c454cbc0

Observation b24e82fb-1def-4cab-b8d0-6efe0c3c2dbd · outbound

This paper cites In ECCVW, pages 212–228, 2024.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? In ECCVW, pages 212–228, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.565587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.214597Z digest=sha256:e438accd4516137229ef19be2916dcb9226a95d9b811d8a8ced0216058cb0cb4

Observation 2774fc57-3b7e-4305-8bcc-e20b64e2c49d · outbound

This paper cites From Seq2Seq Recognition to Handwritten Word Embeddings.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? From Seq2Seq Recognition to Handwritten Word Embeddings

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.555041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.218000Z digest=sha256:9e377d718d5b5f625e8569af1aebf1ac37d29f2c6d08ee361a70d78fe8caf7d1

Observation 08936aa9-6a51-47da-a61a-21249343fb63 · outbound

This paper cites Best Practices for a Handwritten Text Recognition System.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Best Practices for a Handwritten Text Recognition System

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.543969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.221133Z digest=sha256:aab3277aebbab7c7462cd17f7b88a366b24aa20653ac88984f68e3cce39a2749

Observation e0871ce8-410b-4ece-8bd9-75afc07c7516 · outbound

This paper cites Enhancing CRNN HTR Architectures with Trans- former Blocks.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Enhancing CRNN HTR Architectures with Trans- former Blocks

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.532142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.224417Z digest=sha256:59a3d8a1a9105520acf63c5fe1f54db58660c09f272e8771f3f7575b04f11207

Observation a9450fbb-baf0-41ba-8094-21f4cd758359 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? High-resolution image syn- thesis with latent diffusion models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.521306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.227738Z digest=sha256:8a6f26ca68915528515d5f967f7d08d3f0526cef4e5123ea30411441093d6238

Observation 8e801e14-bd43-4f00-8e7f-caeae1771aaf · outbound

This paper cites U- Net: Convolutional Networks for Biomedical Image Seg- mentation.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? U- Net: Convolutional Networks for Biomedical Image Seg- mentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.510075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.231160Z digest=sha256:548c7d7750acb448849ce43caefaa4249ae6bcd24b4250111bc7142177b37333

Observation 8da79505-8d24-4172-9353-6429092a05a3 · outbound

This paper cites A method of synthesiz- ing handwritten chinese images for data augmentation.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? A method of synthesiz- ing handwritten chinese images for data augmentation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.499090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.234600Z digest=sha256:5cebe79b0106a455af3adcb8171855ca58e6a4a42d362f62f0d2ce78e4fd4778

Observation cf727b35-ebf0-44c7-aa9e-f7a437340b14 · outbound

This paper cites An end-to-end trainable neural network for image-based sequence recogni- tion and its application to scene text recognition.IEEE Trans.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? An end-to-end trainable neural network for image-based sequence recogni- tion and its application to scene text recognition.IEEE Trans

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.487451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.238098Z digest=sha256:ac0eeadbd2f5696b3e8070d5828bcddd1d58bb382410eb983806a5b449b478e9

Observation 2d80e5ce-9a4a-4a14-9c5e-466e170d5a87 · outbound

This paper cites One-shot Compositional Data Generation for Low Resource Handwritten Text Recogni- tion.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? One-shot Compositional Data Generation for Low Resource Handwritten Text Recogni- tion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.475485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.241559Z digest=sha256:aaf6d5e5d98f782ab24ad28acd0eb99629aaad497f3da04afc531ae35de2f2dd

Observation 49a8d14a-8400-4203-9411-28e67c4d2866 · outbound

This paper cites Improving text recognition using optical and language model writer adaptation.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Improving text recognition using optical and language model writer adaptation

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.463936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.244975Z digest=sha256:ec0f86f5aa22eedea2b3d2f981dcb49a53402095d376e275ed884f55432edfc8

Observation 65661ef8-f4ea-4854-8baa-c434efbdec0a · outbound

This paper cites Fully convolutional networks for handwriting recognition.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Fully convolutional networks for handwriting recognition

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.451859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.248386Z digest=sha256:31c013d7d521ac61a9b9fca0e03eaa7eaabf101b91aa5461f087c9bc95bfae7e

Observation 2465f9d5-f01f-4ebe-b5ff-8d868ed79ced · outbound

This paper cites V ATr++: Choose Your Words Wisely for Handwritten Text Genera- tion.IEEE Trans.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? V ATr++: Choose Your Words Wisely for Handwritten Text Genera- tion.IEEE Trans

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.439729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.251744Z digest=sha256:0f88c884ebd98edfae527dc25f685bf4a5e57d714443655281e1a937fe0c4658

Observation bc4e481d-4c2b-40bc-8483-5b273b89f584 · outbound

This paper cites Attention is all you need.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Attention is all you need

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.427835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.255031Z digest=sha256:01d3f61938acac6c9cacc77d00aad3e11a52c0a291c9fadc52f29c163d219e9b

Observation 6faa9508-60b3-4568-b56d-6ef9a3555f20 · outbound

This paper cites Handwriting recognition with large multidimensional long short-term memory recurrent neural networks.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Handwriting recognition with large multidimensional long short-term memory recurrent neural networks

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.416052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.258581Z digest=sha256:2fd7955472748d4bd222cd23d3d369696cd182b216fc714f37fb0076b96f014b

Observation 5138c7c5-50db-464e-ad40-398e27faf7b2 · outbound

This paper cites Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:46:56.316563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.261793Z digest=sha256:5acd1fb99cd96f9294fd56174923192d42f38baad7cf07505df183198baf7cc3

Observation 32e4cd06-a5df-4954-bfd9-fc347cb5952c · outbound

This paper cites Trans- former for Handwritten Text Recognition Using Bidirec- tional Post-decoding.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Trans- former for Handwritten Text Recognition Using Bidirec- tional Post-decoding

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.403165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.265572Z digest=sha256:4575e13eb6820c72fb8c75118d3f9fd46eed719e4d2a70cda5fd7e0c7c618ac5

Observation e7ba44d5-72a4-4175-84f7-fb60655f6cf8 · outbound

This paper cites Data augmentation for recog- nition of handwritten words and lines using a CNN-LSTM network.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Data augmentation for recog- nition of handwritten words and lines using a CNN-LSTM network

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.391457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.268716Z digest=sha256:75407b15ec98835bd34ee46606a5b3fb37a890604533cdf2a455bc87139ce7fb

Observation ecb3f455-f8f2-424c-b793-82613c8c4c1f · outbound

This paper cites Start, Follow, Read: End-to-End Full-Page Handwriting Recognition.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Start, Follow, Read: End-to-End Full-Page Handwriting Recognition

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.379952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.272010Z digest=sha256:a793888b2824fc3a688e03e90a2c65a625bbedb2ad0b3e18ce2d93c5b07af12f

Observation 9cd558c8-e8f9-4957-b315-0958b6052548 · outbound

This paper cites OrigamiNet: Weakly- Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? OrigamiNet: Weakly- Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.367799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.275193Z digest=sha256:69d4f546fa835a7ca124dce812d5c2a14b1e9e6679bcb67f5c0edd6790f59032

Observation 3afe3243-605b-464c-9a40-2d13edc8b8b9 · outbound

This paper cites Conditional Text Image Generation with Diffu- sion Models.

Quo Vadis Handwritten Text Generation for Handwritten Text Recognition? Conditional Text Image Generation with Diffu- sion Models

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:46:56.355157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T20:46:56.278412Z digest=sha256:0b105edc2f51a9f5a755edf4157badfcb5cb1fdc398ffadc1b4cda729eacaa42

Pith citing papers

No inbound Pith citation observations are available.