Paper Citation Record · LEDGER

Fully Convolutional Networks for Handwriting Recognition

As of 23 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1907.04888.

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

pith.paper-citation-record.v1
1907.04888 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T23:35:37.808211Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

32 of 32 outbound references displayed

verified exact2
verified fuzzy30
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87ba221e-0e48-482d-bd2a-c76baa0a663b · outbound

This paper cites Accessed: 2017.

Fully Convolutional Networks for Handwriting Recognition Accessed: 2017

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.930548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 23136d58-daec-4d62-935a-cf96c3568a6b · outbound

This paper cites Deep learning based isolated arabic scene character recognition.

Fully Convolutional Networks for Handwriting Recognition Deep learning based isolated arabic scene character recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.861034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 242f5357-3c7e-4bb2-94c5-738c9322bf0e · outbound

This paper cites Rimes evaluation campaign for handwritten mail processing.

Fully Convolutional Networks for Handwriting Recognition Rimes evaluation campaign for handwritten mail processing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.921881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f510bd81-c285-4bf9-a23f-fb6cc5e0428f · outbound

This paper cites Handwritten text recognition using deep learning.

Fully Convolutional Networks for Handwriting Recognition Handwritten text recognition using deep learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.945333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0081cd0f-00fa-494b-97e2-bec6b52dd3fd · outbound

This paper cites A comparison of sequence-trained deep neural networks and recurrent neural networks optical modeling for handwriting recognition.

Fully Convolutional Networks for Handwriting Recognition A comparison of sequence-trained deep neural networks and recurrent neural networks optical modeling for handwriting recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.889028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8774f3f5-1a1e-4ed4-9dab-dadf31083bb9 · outbound

This paper cites Structured document segmentation and representation by the modiﬁed xy tree.

Fully Convolutional Networks for Handwriting Recognition Structured document segmentation and representation by the modiﬁed xy tree

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.910707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c631847c-1f35-42f4-a057-ed0941a356ee · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

Fully Convolutional Networks for Handwriting Recognition DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:36:27.635157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7d19961-fa31-4a93-ba81-e994c0a78e75 · outbound

This paper cites A system for ofﬂine character recognition using auto-encoder networks.

Fully Convolutional Networks for Handwriting Recognition A system for ofﬂine character recognition using auto-encoder networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.917926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 839beba1-d949-4cff-a377-64b61fb7b524 · outbound

This paper cites Fast and robust training of recurrent neural networks for ofﬂine handwriting recogni- tion.

Fully Convolutional Networks for Handwriting Recognition Fast and robust training of recurrent neural networks for ofﬂine handwriting recogni- tion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.903106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation db54f90e-d0b2-4fa1-b78e-5366b884d07a · outbound

This paper cites Hierarchical hybrid mlp/hmm or rather mlp features for a discrimi- natively trained gaussian hmm: a comparison for ofﬂine handwriting recognition.

Fully Convolutional Networks for Handwriting Recognition Hierarchical hybrid mlp/hmm or rather mlp features for a discrimi- natively trained gaussian hmm: a comparison for ofﬂine handwriting recognition

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.889594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 511fe7ca-5062-4f25-95e4-5c298d96a1e2 · outbound

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

Fully Convolutional Networks for Handwriting Recognition Improving ofﬂine handwritten text recognition with hybrid hmm/ann models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.938007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa93acef-f2f7-46ed-b44d-f618927afd4d · outbound

This paper cites Handwritten word recognition with character and inter-character neural networks.

Fully Convolutional Networks for Handwriting Recognition Handwritten word recognition with character and inter-character neural networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.903517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69a111aa-bab0-4273-b961-89e6f1aacbb1 · outbound

This paper cites Connectionist temporal classiﬁcation: labelling unseg- mented sequence data with recurrent neural networks.

Fully Convolutional Networks for Handwriting Recognition Connectionist temporal classiﬁcation: labelling unseg- mented sequence data with recurrent neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.958313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 530ecd4c-4eb2-4dd8-9d8c-5ee4fd06247d · outbound

This paper cites Long short-term memory.

Fully Convolutional Networks for Handwriting Recognition Long short-term memory

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.913835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc564e7e-f6ee-4f35-8d29-c8c1b16b347a · outbound

This paper cites Word segmentation of off-line handwritten documents.

Fully Convolutional Networks for Handwriting Recognition Word segmentation of off-line handwritten documents

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.900020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67daee99-50f3-44a6-bfda-57aa836edde2 · outbound

This paper cites Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition.

Fully Convolutional Networks for Handwriting Recognition Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T23:36:27.630251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a1c71d96-8929-481a-b56e-27d8f04222c7 · outbound

This paper cites Caffe: Convolutional architecture for fast feature embedding.

Fully Convolutional Networks for Handwriting Recognition Caffe: Convolutional architecture for fast feature embedding

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.930050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 849be5b6-a8a8-47df-81a0-bac8d97184ef · outbound

This paper cites Improvements in rwth’s system for off-line handwriting recognition.

Fully Convolutional Networks for Handwriting Recognition Improvements in rwth’s system for off-line handwriting recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.892458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dcd5273a-94af-4a46-8ca1-f2a12a9c06e8 · outbound

This paper cites Fully convo- lutional networks for semantic segmentation.

Fully Convolutional Networks for Handwriting Recognition Fully convo- lutional networks for semantic segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.950150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfee1e52-6de9-490e-a559-ffddeb50fd99 · outbound

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

Fully Convolutional Networks for Handwriting Recognition The iam-database: an english sentence database for ofﬂine handwriting recognition

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.926654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6657766c-8f08-48b1-aa98-456f05bc6fc5 · outbound

This paper cites The a2ia french handwriting recognition system at the rimes-icdar2011 competition.

Fully Convolutional Networks for Handwriting Recognition The a2ia french handwriting recognition system at the rimes-icdar2011 competition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.867504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8581440f-32ca-4050-a0b3-28961e5e5c74 · outbound

This paper cites Dropout improves recurrent neural networks for hand- writing recognition.

Fully Convolutional Networks for Handwriting Recognition Dropout improves recurrent neural networks for hand- writing recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.934259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e800217c-b1a8-4159-8480-e48f710077da · outbound

This paper cites Cnn-n-gram for handwriting word recognition.

Fully Convolutional Networks for Handwriting Recognition Cnn-n-gram for handwriting word recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.920334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d805ebb5-bac3-4214-be1c-2fd33293f5ad · outbound

This paper cites Faster r- cnn: Towards real-time object detection with region proposal networks.

Fully Convolutional Networks for Handwriting Recognition Faster r- cnn: Towards real-time object detection with region proposal networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.917155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1647a6c4-ab7a-4091-9369-4c91d372c356 · outbound

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

Fully Convolutional Networks for Handwriting Recognition An end-to-end trainable neural network for image-based sequence recognition and its applica- tion to scene text recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.906735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3c78c32-ea0c-48a3-9546-44fef7c62089 · outbound

This paper cites Robust scene text recognition with automatic rectiﬁcation.

Fully Convolutional Networks for Handwriting Recognition Robust scene text recognition with automatic rectiﬁcation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.926047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a2ed901-8678-4a12-b6e8-16ba0fbb0265 · outbound

This paper cites An analysis of sentence boundary detection systems for english and portuguese documents.

Fully Convolutional Networks for Handwriting Recognition An analysis of sentence boundary detection systems for english and portuguese documents

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.914209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ae0cdf4-b989-407b-b0b0-c6e4630c5cfb · outbound

This paper cites Convolutional multi-directional recurrent network for ofﬂine handwritten text recognition.

Fully Convolutional Networks for Handwriting Recognition Convolutional multi-directional recurrent network for ofﬂine handwritten text recognition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.871341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 494feb4c-c5b4-4ee2-8d1f-063185917bfb · outbound

This paper cites Feature extraction methods for character recognition-a survey.

Fully Convolutional Networks for Handwriting Recognition Feature extraction methods for character recognition-a survey

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.954183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b2d78f6-01e4-4678-a432-6ff55dee6001 · outbound

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

Fully Convolutional Networks for Handwriting Recognition Handwriting recognition with large multidimensional long short-term memory re- current neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.885950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6bc1d8cd-a47a-4afc-875c-b271a57c5ab7 · outbound

This paper cites Fully convolutional recurrent network for handwritten chinese text recognition.

Fully Convolutional Networks for Handwriting Recognition Fully convolutional recurrent network for handwritten chinese text recognition

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.878925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 967afad0-d2a3-4f07-ae7c-23572064bbb1 · outbound

This paper cites A deep learning based character recognition system from multimedia document.

Fully Convolutional Networks for Handwriting Recognition A deep learning based character recognition system from multimedia document

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T23:36:27.875056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.