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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 2026-08-18T06:34:40.430872+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This paper cites Boosting offline handwritten text recog- nition in historical documents with few labeled lines.IEEE Access, 2021.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 Boosting offline handwritten text recog- nition in historical documents with few labeled lines.IEEE Access, 2021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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.038396Z digest=sha256:a2ed74fa45332456f9c547917fad6afbf95693f45a9bc1e91ab5ee212733e926

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.042394Z digest=sha256:7d174c325c9ac66e07198ec96ad2d6acf182d056040094a12063e3e445d4a8ff

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.046316Z digest=sha256:efbad82ae3a16c90b79ae17fece044d05e6669a2575cb153a3dc228b60a3cb74

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.050088Z digest=sha256:d02199b41a44a03d87e8478838ead3b1785815678f1929d49ae58e026dfe4c00

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.053620Z digest=sha256:2448b3ec660525b7f9ccf60da7a9943cd74cb57cd6cf37ee00a96e26f27ddd74

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.057098Z digest=sha256:0732d05113f996b4cd59ee8cbc8c31ce3f61f3ac62d840357dc99cda451bed58

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.060805Z digest=sha256:542f97b3084da95e423817f38a1c6f30aad35860801f9746eae25992fbac6fea

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.064635Z digest=sha256:5cf2b3a06c44002e447c69aebc65837fa2fe319816f7f9873fed14a40e9f8435

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.067822Z digest=sha256:09b1ccb68fdc7a336d609f0eaaa4042c775b3b0f518d4483c40c5f6fc1261a83

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.071060Z digest=sha256:fd17663390d39716b114821ffa39aa8ed75c2bb252191efeedbdd4fc2228f482

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.074220Z digest=sha256:c1db00f75b47bda1a546ecd8450d11a5f86e8ec696ce137692b192b109e20c62

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.077867Z digest=sha256:ad0d225423c5784ea5323715ee391a242fe783417bd6bbee4bbc1da7a19b3aca

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.081680Z digest=sha256:f8ff901b9c5e6a2ec4cba7bd4b1decc4814f9cfbd62793514d317bff72c32bb5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.084867Z digest=sha256:51829631d3b1a71e1be77c364fbdf995f20167be75b1dced18fefe177ae1d9dc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.088405Z digest=sha256:7f8f09783d806e9f9e18bee248942049cc446529caf960e2118b874f5a580b8d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.091729Z digest=sha256:5545c2d7ee6a217fa0e28458ad150df66f0f9e1239a3a0b493e52dc9a30ab91e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.095005Z digest=sha256:43fd5a8f1438945d60368827396312cb39d8b4adc8f61a56584e60409ccb882a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.098169Z digest=sha256:ab6a4489524fdd151c5b6e507f1acb84ddb9d783ae9ee466e56e2e48efba76af

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.101482Z digest=sha256:f04ee911501434540d2077d915863f354aad28b1457663812bdcf5de117d95b8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.104754Z digest=sha256:f985b1f7b86ec5b8041f4d50d7d85e006653757768fbb03c3e1e97e28d40ebe7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.108257Z digest=sha256:7b10bf574b062254413408697d646916d6cbdcf054337b6439ae54ab0cb15960

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.111844Z digest=sha256:3d8542703a3b22e0db48e03e6242d7d873ded7527716efc7c3b0e320d9467b12

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.115285Z digest=sha256:b17022e2b0fc08f9da2af9402ab9adaf6c6090d425979307fe2c7d268ddb5b8a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.118599Z digest=sha256:7b50db7be7f4f8ea6bd87f4d960e62101242dcf7324f4e9ae0809155f341b7b8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.122299Z digest=sha256:245abe451929e570e2c957daad9d4a35af96eae25293d553b5a41f50299f3d45

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.125541Z digest=sha256:2f792aee2ec9c0bfbd7d1b8cf7ab3fc26cc302b4c574a168b83f69e4d059d7ce

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.128911Z digest=sha256:49efe8ae10f9ee5d23ecc7cda24c597f10bc0cad8741744b35ffba5019c26630

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.132536Z digest=sha256:845ea7f65644a869d1f2f73660f8be696451b27717fdd0f12e52ada59ecf0ae9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.135731Z digest=sha256:f35974c54a4b43646dcf946fea5796d41e4a6afeb829a943a1b1d3187c8a8056

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.138769Z digest=sha256:c00272951f41a61d647a40d6bbed4c21b4bf79e9dfb27d5a60c4630d1ef21788

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.142007Z digest=sha256:5b449bc70b6c9ad0acaa04279f65216ef6096fe84f20814b9e60e012608fc7f3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.145219Z digest=sha256:5a103020d741f71d8fc01694c392b3d578473d3b5c13afdc441d2a286bd3df86

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.148351Z digest=sha256:44803c30f58082bd98af23fdc5f2e4c032e41859ef7475c3da0e12346b0b0f9b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.151429Z digest=sha256:52f86ba68c7b123b4764209d200c19384dd4c387f1aa6f3d8dd8f6142fd5097e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.162154Z digest=sha256:425172f9777ef708f6248f99ba584f6026df825abee2f0efd8bf3e911b590d54

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.165346Z digest=sha256:706ccda399b7c4339d0b91bfa349fa5ab65444d946897fcc2ce6bd3a4fa5887c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.168465Z digest=sha256:2802ff5c3bfb8d740ba39d267c6d720c5f2c3fb2ba3a64fdea76db4883118ba4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.171645Z digest=sha256:1cdbbb57a318c5e3873d8559340cf69b2a30c6b58f961da0cb1e2fd5c7652c5a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.174912Z digest=sha256:9f19aad64f09bab7e6c2f94e0825bbba095b9668d35a226b816cf59127d30ac4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.178282Z digest=sha256:77c838d10a7711735deb54f1a2b16f0c19bbe7dea52c3ed351f0de434666de49

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.181788Z digest=sha256:411e227191f77e962301ac069a90a5b6c8bab26c57eb42d16134c6ff727579ef

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.185359Z digest=sha256:44a98d4ea97b0cf125d9205569303720033880dce3ebf37f3caab3ec032e16d9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.188775Z digest=sha256:12e23c32f9bf7003c1f851b9d1dde97137225cf1b920c45d4fcab465564036db

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.192151Z digest=sha256:6e145ab9c4e0f935d218072ae18714fc75f9d63144d352f83a3b6f90f38cf990

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.195176Z digest=sha256:37495d9ca2258bfee86abcebc93ecf653b45652d9b30bbc859432f513b92fca9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.198384Z digest=sha256:4c2002286fc7d4ee8cdbf9d2276f456f6bfc788c9fdf50ee2903c02ab0967221

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.202117Z digest=sha256:f29c5872b50cfffb2a447e5b165e385cee531410729bc0d215390a1c226e2be5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.205102Z digest=sha256:9f3995e3085a6ce79df1c37738cf7b005ee54fcd74ebc0e3c49b21467a49b85f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.208117Z digest=sha256:88267393691810510a3a96f4698d3d7b75a603a9211a1bf1309d501429724cd0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.211330Z digest=sha256:c630b9d6a38e32b29a4b638735a8716d4b53d8f0d0134980d6f585df98d2785f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.214597Z digest=sha256:5b0d134531f9ca61538d3fee69f8937599c88252d55f0caeaca1d45310896b9f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.218000Z digest=sha256:3fe5ed4f0bdca05cdbbd731e110cf32f497614b60c5e2d448e3b6429a6271277

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.221133Z digest=sha256:2cf23ae05701863eb164eb5552e0e1abdb137fe70c900c0a21cbc58f6ebe31ac

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.224417Z digest=sha256:20efd78ac40212cd03fed4513c576c34d009ea117c47529f39f56abec4fad25b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.227738Z digest=sha256:ee2b9cbbb31d2b2d18f96ba9a3b0116efb512ca6c2196e1e316c5fb2df9749a1

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.231160Z digest=sha256:f5c1c696259e1d84b40e529f8340eb0dd71a78e0b1366915d1a3164027d78ff4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.234600Z digest=sha256:3b5eaa583ff822f764d829bd8b6f0859c6046dea5a735aaba35c8e28dc7fbeb9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.238098Z digest=sha256:929ec133f81ed7625baf7a9748ef8392c9c5dfd6c6bb3f4e85f65f2f31e56281

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.241559Z digest=sha256:280a47b8dc3f2d8ce07fb9851172434b29b65c4e41c4e864a76e2c6efde9abb3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.244975Z digest=sha256:fd1d6c118e563b74f2f1c072ee71ccd5525a04cf4d5e03b692458b6cf92935cd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.248386Z digest=sha256:63f93edba5a51c4b3fc7e02816d0d19483b20ff832166024bf95dc04f012c018

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.251744Z digest=sha256:09a988d42ad76f61e2543c0e838cd02f820257adf6ff66b94f2a54f3f69f3ece

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.255031Z digest=sha256:3fb6efb0b53dd520eab3fd672a98b0b4c704bb7fd4f1add9fa4c7b278ccd716a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.258581Z digest=sha256:12728b9ac907d1b5919f1f6f4a406c09a3be39d6626daa35c21a0c5775accf14

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.261793Z digest=sha256:0ebfcb765e2f92b452bd0245a1fba2801147997b4ba35237f35a8f729e29d69a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.265572Z digest=sha256:43d9907f4a5ec44f71cb62598bdbd29f2982dba7c75e7aecd7d95e3418550696

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.268716Z digest=sha256:8eae84cbd8bb5966469a89ec55833861dea37149df115252946820f0c5fda164

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.272010Z digest=sha256:1b525d6815e865043fcaedcec5acef5100423a440a3f6d77e095d08bb2566953

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.275193Z digest=sha256:2da7e174f8bae35d65413035c87f44524252f66869e919d5778ea38486670db6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T20:46:56.278412Z digest=sha256:9466e8022e23e6a0b66617de55f5b45268ad1e55ceb85cb13fa2d5983bcbb82f

Pith citing papers

No inbound Pith citation observations are available.