Paper Citation Record · LEDGER

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2412.18524.

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

pith.paper-citation-record.v1
2412.18524 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:45:20.519489Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:30:14.685922Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy34
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a090356-1a98-4bc8-92d2-749a8f4b93e4 · outbound

This paper cites Ground truth creation for handwriting recognition in historical doc- uments,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Ground truth creation for handwriting recognition in historical doc- uments,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:21.015130Z

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Observation 3fb8ab45-5527-4d3d-ad3f-24c3bcc56628 · outbound

This paper cites Gated convolutional recurrent neural net- works for multilingual handwriting recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Gated convolutional recurrent neural net- works for multilingual handwriting recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:21.005651Z

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Observation fbfecb8b-918c-4d68-a58f-c5fcdd5e44d3 · outbound

This paper cites A novel connectionist system for unconstrained hand- writing recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation A novel connectionist system for unconstrained hand- writing recognition,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.995133Z

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Observation efb935f0-c4ae-4bab-918f-9a2d7e3507cf · outbound

This paper cites Dynamic and contextual information in hmm modeling for handwritten word recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Dynamic and contextual information in hmm modeling for handwritten word recognition,

Reference 4

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Observation 55794fb2-22de-4a49-8d7e-690391e5525b · outbound

This paper cites Improving cnn-rnn hybrid networks for handwriting recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Improving cnn-rnn hybrid networks for handwriting recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.972654Z

Source-reported events for the cited work

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Observation df5a1a23-1aa4-4466-b1db-f976e2abfad9 · outbound

This paper cites Markov models for offline handwriting recognition: a survey,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Markov models for offline handwriting recognition: a survey,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.960616Z

Source-reported events for the cited work

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Observation c5fabd00-9c62-4dc7-9aff-e464058c752a · outbound

This paper cites Transcription align- ment of latin manuscripts using hidden markov models,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Transcription align- ment of latin manuscripts using hidden markov models,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.950126Z

Source-reported events for the cited work

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Observation fbca17bd-cffb-4649-b271-3de59f98d725 · outbound

This paper cites An Efficient End-to-End Neural Model for Handwritten Text Recognition.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation An Efficient End-to-End Neural Model for Handwritten Text Recognition

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:45:20.601782Z

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Observation 67788457-9d16-49ea-8214-5c05300212ad · outbound

This paper cites Evaluating sequence- to-sequence models for handwritten text recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Evaluating sequence- to-sequence models for handwritten text recognition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.939216Z

Source-reported events for the cited work

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Observation 27e312ab-7bdc-4444-9707-36d535f656c6 · outbound

This paper cites Are multidimensional recurrent layers really necessary for handwritten text recognition?.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Are multidimensional recurrent layers really necessary for handwritten text recognition?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.928887Z

Source-reported events for the cited work

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Observation 06b0677b-5c5a-4832-bec0-d60d30a5dddc · outbound

This paper cites Enhancing handwritten text recognition with n-gram sequence decomposition and multitask learning,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Enhancing handwritten text recognition with n-gram sequence decomposition and multitask learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.917927Z

Source-reported events for the cited work

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Observation 7327e413-2e44-44e3-a803-cedc589e4e42 · outbound

This paper cites Accurate, data- efficient, unconstrained text recognition with convolutional neural net- works,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Accurate, data- efficient, unconstrained text recognition with convolutional neural net- works,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.905961Z

Source-reported events for the cited work

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Observation 47bb790d-f46a-4906-9d77-16cee66a5225 · outbound

This paper cites Pay attention to what you read: Non-recurrent hand-written text-line recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Pay attention to what you read: Non-recurrent hand-written text-line recognition,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.894153Z

Source-reported events for the cited work

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Observation 131c86c6-19d1-4107-8e08-778ad4dd0b23 · outbound

This paper cites Transformer for handwritten text recognition using bidirectional post-decoding,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Transformer for handwritten text recognition using bidirectional post-decoding,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.883705Z

Source-reported events for the cited work

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Observation a202e53d-6e2f-4e66-af59-15e14833ff9b · outbound

This paper cites Resnest-transformer: Joint attention segmentation-free for end-to-end handwriting paragraph recognition model,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Resnest-transformer: Joint attention segmentation-free for end-to-end handwriting paragraph recognition model,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.872143Z

Source-reported events for the cited work

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Observation 20014076-4f0b-4e40-bbd3-88313cc254c5 · outbound

This paper cites Refocus attention span networks for handwriting line recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Refocus attention span networks for handwriting line recognition,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.859094Z

Source-reported events for the cited work

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Observation 37bbf422-58ce-4e29-8730-e011215a2440 · outbound

This paper cites HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.847484Z

Source-reported events for the cited work

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Observation e73d39a3-1894-42df-94b6-8cd51f561934 · outbound

This paper cites Learning from multiple teacher networks,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Learning from multiple teacher networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.836774Z

Source-reported events for the cited work

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Observation 0ddc9aa2-4a90-4ac7-b846-24bc75713f4f · outbound

This paper cites Data augmentation for recognition of handwritten words and lines using a cnn-lstm network,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Data augmentation for recognition of handwritten words and lines using a cnn-lstm network,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.824586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 76eb1f75-df4d-49ef-8ebd-5ee03000ffc0 · outbound

This paper cites Connection- ist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Connection- ist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.808831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 27e21d43-af8d-43b8-9575-afba1bdf8e91 · outbound

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

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Best Practices for a Handwritten Text Recognition System

Reference 21

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Observation ced765d4-5a02-4d6f-9056-58fe9dfee3d8 · outbound

This paper cites Improving offline handwritten text recognition with hybrid hmm/ann models,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Improving offline handwritten text recognition with hybrid hmm/ann models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.796110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c170f3f-5289-4670-b7e4-84acb7c740a8 · outbound

This paper cites Offline continuous handwriting recognition using sequence to sequence neural networks,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Offline continuous handwriting recognition using sequence to sequence neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.783735Z

Source-reported events for the cited work

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Observation cac665d1-164d-4721-aa92-a5fba90c40e6 · outbound

This paper cites Sequence- to-sequence domain adaptation network for robust text image recogni- tion,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Sequence- to-sequence domain adaptation network for robust text image recogni- tion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.770281Z

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Observation e5e230fb-121c-49fd-925d-45278687860e · outbound

This paper cites Sequence-to-sequence contrastive learn- ing for text recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Sequence-to-sequence contrastive learn- ing for text recognition,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.758979Z

Source-reported events for the cited work

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Observation df8486b2-2e53-4caa-9d4f-dc6b5d17b213 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Neural Machine Translation by Jointly Learning to Align and Translate

Reference 26

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Observation 6bb58d1b-b227-45a5-881f-9784bb29d6c9 · outbound

This paper cites Stacked attention networks for image question answering,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Stacked attention networks for image question answering,

Reference 27

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Observation 2f940936-58d5-41e3-a276-4bb88f797774 · outbound

This paper cites Draw: A recurrent neural network for image generation,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Draw: A recurrent neural network for image generation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.741174Z

Source-reported events for the cited work

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Observation 069b8e7b-3892-4ae5-a9f5-49229b1bb90d · outbound

This paper cites Pixelsnail: An improved autoregressive generative model,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Pixelsnail: An improved autoregressive generative model,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.730335Z

Source-reported events for the cited work

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Observation cbd98e28-e96f-4e92-a416-ab152518defd · outbound

This paper cites Long Short-Term Memory-Networks for Machine Reading.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Long Short-Term Memory-Networks for Machine Reading

Reference 30

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Observation 0b3c3744-0b45-4b0d-a22a-bbd25b2b1666 · outbound

This paper cites A Decomposable Attention Model for Natural Language Inference.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation A Decomposable Attention Model for Natural Language Inference

Reference 31

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Observation 9285e69b-4f42-4d20-a451-582cb2a7f1a1 · outbound

This paper cites Cnn-n-gram for handwriting word recog- nition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Cnn-n-gram for handwriting word recog- nition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.719251Z

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Observation 196821b2-486b-45ba-bbd6-784adee0271a · outbound

This paper cites Handwriting recog- nition of historical documents with few labeled data,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Handwriting recog- nition of historical documents with few labeled data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.707384Z

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Observation fa33f254-f691-4872-870a-6a2f79b0adbf · outbound

This paper cites Attention is all you need,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Attention is all you need,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.694688Z

Source-reported events for the cited work

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Observation 561d7190-fd03-4c0b-af4e-871151ea2478 · outbound

This paper cites Transformer for handwritten text recognition using bidirectional post-decoding,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Transformer for handwritten text recognition using bidirectional post-decoding,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.683324Z

Source-reported events for the cited work

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Observation 1fce20fb-344a-48d5-b1b3-3f74a0ea17d0 · outbound

This paper cites The iam-database: an english sentence database for offline handwriting recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation The iam-database: an english sentence database for offline handwriting recognition,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.671013Z

Source-reported events for the cited work

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Observation 49ad0b71-9c05-4d2c-a2d3-07dd23667919 · outbound

This paper cites Results of the rimes evaluation campaign for handwritten mail processing,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Results of the rimes evaluation campaign for handwritten mail processing,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.658423Z

Source-reported events for the cited work

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Observation f03a4c4a-4651-4d8f-95ce-deaced5b1978 · outbound

This paper cites Building a volunteer community: results and findings from transcribe bentham,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Building a volunteer community: results and findings from transcribe bentham,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.645904Z

Source-reported events for the cited work

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Observation 01dc070a-ebe4-49da-9fb9-bb15fc393f62 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 39

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Observation 6d1b897d-a3e0-42dd-bfc0-9e9b52f7c85e · outbound

This paper cites Deformation- invariant networks for handwritten text recognition,.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Deformation- invariant networks for handwritten text recognition,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.625275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 33af32b1-38f3-4457-9e7f-3fba63ad9d02 · outbound

This paper cites Are multidimensional recurrent layers really necessary for handwritten text recognition?.

HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation Are multidimensional recurrent layers really necessary for handwritten text recognition?

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:45:20.613055Z

Source-reported events for the cited work

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Pith citing papers

Observation 3ad9b121-77ff-4c19-b425-fb2fd2318ef5 · inbound

FP-THD: Full page transcription of historical documents cites this paper.

FP-THD: Full page transcription of historical documents HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T09:30:14.685922Z

Source-reported events for the cited work

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