Pith. sign in

Paper Citation Record · LEDGER

Digitization of Document and Information Extraction using OCR

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.831643Z digest=sha256:0085c2ee8cfc32bd66abaaf16ccbdd21edf994c565b5182f07662b51d0d99228

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.836605Z digest=sha256:10df02d15cacfdfc224f15c9d0604d5f4ba4d62df35bea1eb0b040c668b2eab6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.840781Z digest=sha256:a906ce35ff093a1ef9cad0eca8fabcaf702f7ce2bfe06ee8ad2a282afc72a2f2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.845242Z digest=sha256:06a96a77e60c2834bb39612aa7841c2016e8a8842b4339debb7a791d171c61a7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.849375Z digest=sha256:acb41d07b4389f49c8a17921afa65782100015074d8032278dd9ad58a21dc09c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.853477Z digest=sha256:2081b3be7ff47239fc2bc64dbc270a3b15e50eaf7494df1dcba20d8ce05d45a2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.857409Z digest=sha256:2c240aa1284fa4b0d319ff1d668bcedfebf1c9cbd089cb35ce434613432679e9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.861557Z digest=sha256:6e7491f3f4a36b5b029026a38b1a110d29ff7d5df5a77ab58ef29fe28888ca1a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.865733Z digest=sha256:1983c27281cba95dd8c33960ab89eb059323526e63ec3a6151cb2eb32990589e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.873957Z digest=sha256:02638036285f58b349e880219a112f164421bf75807bed1447e4b90e9e6d0ff9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.881234Z digest=sha256:6d6337343dfe8380a8df17f943d2ed397a51d1f3dbd6544263843c434d884a64

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.884965Z digest=sha256:d746e07c311b89848590e5b0e5be559136787fcf8c553ed6183a9e5c24aa8255

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.892046Z digest=sha256:b549cf9b0cff5a712803c112169e47140853774895108a66b8b78a23a958cd40

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.895701Z digest=sha256:25e2e593eeacbed6b3cdfcf6ddc5c48ec1526c50ca25d324a66d9d31b9d728bd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.899326Z digest=sha256:f983536cac98f1ca491adcb902bbd5359c2cdb620f280cf328aaf8bd8ad24376

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.902982Z digest=sha256:233491194180c1373546eb5e6a4f7a5c9869926611c18ffc56b926bb09cf246c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.906823Z digest=sha256:7dde6a642055e807c0ec3b21d298f818b57a42271d8e2e4af49a630f6233e021

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.910271Z digest=sha256:73dd20a49611cfdbffdb7475ae9115db52b277f11a985d16a83382456f404f69

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.913761Z digest=sha256:0e30258a70260a9b061ffe3331e145ae2ff6f88ebcf3930a3ee8a227362fc9a0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T04:41:40.917301Z digest=sha256:fb8b62dcb4aa1828ca586fa5d08d628ffb0164d71ed6425a85aa7562c23b59c2

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T05:48:34.771799Z digest=sha256:5783ac1baaf7ca03b60da87e5316a35cfae77d5b2101df30c80eb6f33391ec9d