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Paper Citation Record · LEDGER

A Survey of Deep Learning Approaches for OCR and Document Understanding

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:35:23.100123Z

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

source=pdf_text observed=2026-05-24T09:28:35.914041Z digest=sha256:3358b7bd3485d583a4ae60f605fda9b682e7544d890a4e2442a28f75152e5fcc

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

source=pdf_text observed=2026-05-23T19:15:21.695801Z digest=sha256:7c707872ec12d708ac8aadc347479e62dfa2f5e6e9c0b762540c2e62c6c50a09

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

source=pdf_text observed=2026-05-19T04:57:35.441758Z digest=sha256:6500dee7fd1fcc3d832599dd457000540936c028ac1aaa888ac1438815e549af

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.

source=arxiv_source observed=2026-08-05T23:35:23.100123Z digest=sha256:58b3c9b41587faacf065a492bb85daddc2c6645d88924d310b81a953831886f7

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.

source=pdf_text observed=2026-08-05T14:20:23.707156Z digest=sha256:c3703648c6a6103c630fc8ddf353bd45de5350165c13b2e149237c282de91fa0

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

source=pdf_text observed=2026-05-13T23:30:53.449935Z digest=sha256:4b9c846fb12002e03cf060d63b822f34d5329663669f35231cb1772b9961b9d9

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

source=arxiv_source observed=2026-05-07T16:18:35.484800Z digest=sha256:3619a0e236dd82aab74f93cd00356fb008e91b83020fa2330066c60ed3c02dd7

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

source=pdf_text observed=2026-07-08T19:42:28.404291Z digest=sha256:0511e7c149eed707b185388271eb6a2e6e51b615faa37af2008264c0cf8a0302

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

source=pdf_text observed=2026-07-08T14:41:25.656628Z digest=sha256:951f0fd40144344ad915f095e59f56eee659089a25546ba5c9d0a5a8107fe534