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Paper Citation Record · LEDGER

Digitization of Document and Information Extraction using OCR

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.831643Z digest=sha256:75db2da4efe82af9453a744b5e745ed1b214767e459f4933aa825577a6a7f81f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.836605Z digest=sha256:893ac42c1564e22bf83b62dd27975309257262dab9717e602b1993cea53a51b0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.840781Z digest=sha256:3eced2a09063ed489c32b76ad3f4b19e1423a4b7e8f2b6d794987b92ce8b85c3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.845242Z digest=sha256:6137dffbda74b631f970e5b59719327384c3bdb1123621ad0f4cd2685772f7c6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.849375Z digest=sha256:2099cbc6bba858ac8b5074db53ca13b0eefdd99e0bb8fe46ba805a7ed40eee2b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.853477Z digest=sha256:8e4c4493d4583c2758cf3d2095a7716ac017521998ae27d54b3c4ab97d3e7756

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.857409Z digest=sha256:12591b5ae6d7d413bbf5a7f17ed9f2f4dc03830925e6a7e639ff7f5410c6b66f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.861557Z digest=sha256:5266a6446cdb16fca04b0318c30a1be092ec23eccdf81084da07c7cc52c11e03

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.865733Z digest=sha256:016ec9e652e3738a076be03b5d40b0c1ed87d8ac7eb391b4a82210559b093d9a

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.

source=pdf_text observed=2026-08-07T04:41:40.869980Z digest=sha256:7a46a42175073ffd93ae13792bd17a7ce64c19b5649d96898c238d1596413f6f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.873957Z digest=sha256:75023985548d024929b1e7ae54b7deb0f6a1a013bca073d1a13bb2c4808e0481

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.881234Z digest=sha256:ede599b2ec92416c5bd4f99fa95aa1bb2c498aef74e4e850a26ddeb4d3e70b05

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.884965Z digest=sha256:04bb8ec008e4a758ce40d6faea256198ac987c5d0d087006467c390c23c390bc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.892046Z digest=sha256:64e03744ec7a5197168f2314032c5a21edd5defdd63f9b4f808af98772f852ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.895701Z digest=sha256:a9547a2560e8affcf9b562b11e720f614e20ebee177c58a17bc1f2493117ae51

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.899326Z digest=sha256:a7dc80aa438c9d5012ebdae55ea8670c4e7ae7f459f6571e141993521216bad4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.902982Z digest=sha256:04bf9fdf3ed76dbe41d250e4b3e0a458259b5f059609125a94513723370d9771

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.906823Z digest=sha256:c8993268b2816011b282059dcf76731f24b219411bb1b9073430e04a919b15e1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.910271Z digest=sha256:bf7f73ecdf0e2932eb60673d58e75d112dd40648c50fa575c81a3c8990de687b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.913761Z digest=sha256:d9a2c3f3e69135467559099b2ae9060873ab9af0a35a20c5fde1c4d542e15636

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:41:40.917301Z digest=sha256:45be1b0ce283ac82f67a63498717dc5d42b0b6d5746de889d29119247753f23f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T05:48:34.771799Z digest=sha256:f8b41af07185910020f687b68995e3805258059a915d03c107cc89a4dda70a98