Paper Citation Record · LEDGER

Digitization of Document and Information Extraction using OCR

As of 21 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2506.11156.

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

pith.paper-citation-record.v1
2506.11156 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:41:40.917301Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T05:48:34.771799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:53:05.108803Z

Reference resolution

21 of 21 outbound references displayed

verified exact4
verified fuzzy16
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c281e1c3-ebe1-404f-95e9-5fb7a604c69b · outbound

This paper cites For scanned documents, techniques like binarization and skew correction are utilized to enhance text clarity and improve OCR accuracy.

Digitization of Document and Information Extraction using OCR For scanned documents, techniques like binarization and skew correction are utilized to enhance text clarity and improve OCR accuracy

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.227123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80849641-0fac-464d-91cb-3b02280b3edd · outbound

This paper cites ● python-docx: Utilized for retrieving text and formatting details from DOCX documents.

Digitization of Document and Information Extraction using OCR ● python-docx: Utilized for retrieving text and formatting details from DOCX documents

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.214883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d984e35-cf1c-4337-b47e-ec8a45245ef2 · outbound

This paper cites ● Maintained Structural Metadata: Internal components such as paragraphs, headings, and tables improve segmentation and contextual understanding.

Digitization of Document and Information Extraction using OCR ● Maintained Structural Metadata: Internal components such as paragraphs, headings, and tables improve segmentation and contextual understanding

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.202671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3da482c-5b3e-4c6c-9cc9-f4f90b8c06cb · outbound

This paper cites Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images,.

Digitization of Document and Information Extraction using OCR Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.189673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c12a3421-735b-4dde-80c4-63a5ef73bd7a · outbound

This paper cites A Deep Learning Based Optical Character Recognition Model for Old Turkic,.

Digitization of Document and Information Extraction using OCR A Deep Learning Based Optical Character Recognition Model for Old Turkic,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.177480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2897f759-c764-45fb-961d-aae826c89caa · outbound

This paper cites Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports,.

Digitization of Document and Information Extraction using OCR Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.165801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43d76243-64af-40ea-85a7-ccf88349082f · outbound

This paper cites A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing.

Digitization of Document and Information Extraction using OCR A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:41:41.027510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db03292f-8eb8-4106-bbe2-4a4bb31ed784 · outbound

This paper cites TransDocAnalyser: A Framework for Offline Semi-structured Handwritten Document Analysis in the Legal Domain.

Digitization of Document and Information Extraction using OCR TransDocAnalyser: A Framework for Offline Semi-structured Handwritten Document Analysis in the Legal Domain

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:41:41.010124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc2103d7-000a-450e-94bd-2a3b6f9c997b · outbound

This paper cites Handwritten Text Recognition Using Convolutional Neural Network.

Digitization of Document and Information Extraction using OCR Handwritten Text Recognition Using Convolutional Neural Network

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:41:40.991503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3823ade-e530-46d5-a213-ca6e587460e2 · outbound

This paper cites OCR-free Document Understanding Transformer.

Digitization of Document and Information Extraction using OCR OCR-free Document Understanding Transformer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T04:41:40.869980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b73c1663-ac78-4bfd-bc54-e55fc141578d · outbound

This paper cites TrOCR: Transformer-based Optical Character Recognition with Pretrained Models,.

Digitization of Document and Information Extraction using OCR TrOCR: Transformer-based Optical Character Recognition with Pretrained Models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.153579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation eeece3e0-ce99-47c5-8a28-c70777ef9626 · outbound

This paper cites KuroNet: Pre-modern Japanese Kuzushiji Character Recognition with Deep Learning,.

Digitization of Document and Information Extraction using OCR KuroNet: Pre-modern Japanese Kuzushiji Character Recognition with Deep Learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.128808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0577096a-424f-4f63-b8ed-9f874d80d9ad · outbound

This paper cites Documentation of Old Turkic Runic Inscriptions of the Altai Mountains Using Photogrammetric Technology,.

Digitization of Document and Information Extraction using OCR Documentation of Old Turkic Runic Inscriptions of the Altai Mountains Using Photogrammetric Technology,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.116524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c6c7cf34-f874-4093-9e3d-83168521bc47 · outbound

This paper cites Historical Document Image Restoration Using Multispectral Imaging System,.

Digitization of Document and Information Extraction using OCR Historical Document Image Restoration Using Multispectral Imaging System,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.090874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57994a05-55c8-4fc3-b34f-52ae1645b6e1 · outbound

This paper cites Deep Learning for Document Image Enhancement,.

Digitization of Document and Information Extraction using OCR Deep Learning for Document Image Enhancement,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.078089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6eb9c5b5-15b5-44c5-844a-954e58604e95 · outbound

This paper cites Recognition of Historical Scripts Using Shallow Convolutional Neural Networks,.

Digitization of Document and Information Extraction using OCR Recognition of Historical Scripts Using Shallow Convolutional Neural Networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.065607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a78178eb-af2d-44b7-8f6d-3526092c1006 · outbound

This paper cites PILOT: A Promptable Interleaved Layout-aware OCR Transformer.

Digitization of Document and Information Extraction using OCR PILOT: A Promptable Interleaved Layout-aware OCR Transformer

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:41:40.957820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation caee586c-29f5-415c-9038-00350925bd70 · outbound

This paper cites DeepNetDevanagari: A Deep Learning Model for Devanagari Ancient Character Recognition,.

Digitization of Document and Information Extraction using OCR DeepNetDevanagari: A Deep Learning Model for Devanagari Ancient Character Recognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.104150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cef4a466-41e4-4aa3-a52a-54d2e529a34a · outbound

This paper cites Post-OCR Parsing: Building Simple and Robust Parser via BIO Tagging,.

Digitization of Document and Information Extraction using OCR Post-OCR Parsing: Building Simple and Robust Parser via BIO Tagging,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.052685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b8b0c408-2afa-4c63-8406-41b55733a9cd · outbound

This paper cites Extract Data Points from Invoices with Multi-layer Graph Attention Network and Named Entity Recognition,.

Digitization of Document and Information Extraction using OCR Extract Data Points from Invoices with Multi-layer Graph Attention Network and Named Entity Recognition,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.040409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 38b76331-9ef4-4889-9ca5-c9647c56c00c · outbound

This paper cites A Hybrid CNN-Transformer Model for Historical Document Image Binarization,.

Digitization of Document and Information Extraction using OCR A Hybrid CNN-Transformer Model for Historical Document Image Binarization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:41:41.141411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 264e1d50-a59c-4524-ae2e-bd687ca6b29d · inbound

Structured Layout Priors for Robust Out-of-Distribution Visual Document Understanding cites this paper.

Structured Layout Priors for Robust Out-of-Distribution Visual Document Understanding Digitization of Document and Information Extraction using OCR

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:53:05.110294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.