Paper Citation Record · LEDGER

A Survey of Deep Learning Approaches for OCR and Document Understanding

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2011.13534.

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

pith.paper-citation-record.v1
2011.13534 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:40.627484Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T19:45:30.213720Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2db3219d-d91f-40b4-96fc-f61ee9bda18c · inbound

Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts cites this paper.

Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:29:17.204340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e65b203d-c468-4d6d-92bf-8637be772ae4 · inbound

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction cites this paper.

Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 220

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:15:47.087262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0a27828d-38ae-41d5-957a-8f62cd0bee5c · inbound

VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data cites this paper.

VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T04:47:03.461774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1d4e8fe-e0eb-478a-98f6-045592ee3507 · inbound

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court cites this paper.

A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:40.627484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad9f760-b8ed-4e3b-b05a-9208b09866e5 · inbound

A document is worth a structured record: Principled inductive bias design for document recognition cites this paper.

A document is worth a structured record: Principled inductive bias design for document recognition A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:02:05.157421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 715fac83-a4bd-49ed-a6ca-aad5898a213e · inbound

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? cites this paper.

Finding Needles in Images: Can Multimodal LLMs Locate Fine Details? A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T23:35:23.100123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f28a53-32a9-4176-afea-91452a2ba6fd · inbound

Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing cites this paper.

Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice Processing A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T14:20:23.707156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6c107d-3f47-46ee-93c8-e4c976351346 · inbound

Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models cites this paper.

Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:33:26.808619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e984bc97-d9d3-49ef-bfe4-d14f1c2e318b · inbound

CC-OCR V2: Benchmarking Large Multimodal Models for Literacy in Real-world Document Processing cites this paper.

CC-OCR V2: Benchmarking Large Multimodal Models for Literacy in Real-world Document Processing A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:46:47.297218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation caf705ed-5454-4742-bbe2-d53b9f119b28 · inbound

Structured Data Extraction from Real Estate Documents using Clustering, Classification, and Large Language Models cites this paper.

Structured Data Extraction from Real Estate Documents using Clustering, Classification, and Large Language Models A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-08T19:45:30.215145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 380aaecf-303f-4218-a706-a15fa7804caf · inbound

The Documentation and Traceability Burden of the Indian EV Transition cites this paper.

The Documentation and Traceability Burden of the Indian EV Transition A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 82

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T14:44:59.756592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 688ade36-baeb-42b7-9c1b-d018eec4d71f · inbound

Locating Failure in Multi-Page Visually Rich Document Understanding: An Empirical Attribution cites this paper.

Locating Failure in Multi-Page Visually Rich Document Understanding: An Empirical Attribution A Survey of Deep Learning Approaches for OCR and Document Understanding

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T00:43:45.058115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.