Paper Citation Record · LEDGER

LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2204.08387.

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

pith.paper-citation-record.v1
2204.08387 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:40.802834Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

31
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4d97eea6-7760-4b16-95c6-70844403d09f · inbound

Nougat: Neural Optical Understanding for Academic Documents cites this paper.

Nougat: Neural Optical Understanding for Academic Documents LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:42:12.591250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6561f0ba-55d3-4927-8ac7-886e6123f8bc · inbound

Template-Based Schema Matching of Multi-Layout Tenancy Schedules:A Comparative Study of a Template-Based Hybrid Matcher and the ALITE Full Disjunction Model cites this paper.

Template-Based Schema Matching of Multi-Layout Tenancy Schedules:A Comparative Study of a Template-Based Hybrid Matcher and the ALITE Full Disjunction Model LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:47:40.802834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d26657-f784-4e93-8dd6-1848d3e1e81b · inbound

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models cites this paper.

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T13:10:36.384402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b37765a-afbd-4f95-814a-a82a19028506 · inbound

Vector embedding of multi-modal texts: a tool for discovery? cites this paper.

Vector embedding of multi-modal texts: a tool for discovery? LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T21:05:25.170516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a49ca6-5c57-4ccb-994e-7a477bcf66cd · inbound

Interfaze: The Future of AI is built on Task-Specific Small Models cites this paper.

Interfaze: The Future of AI is built on Task-Specific Small Models LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T04:48:06.443689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4103739f-1479-4e63-adf2-4944ea4c36f4 · inbound

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization cites this paper.

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:50:58.269368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0626d58a-5ad4-4d49-a335-5774dcad8752 · inbound

Multimodal Approaches for Visually-Rich Document Type Classification: A Comparative Analysis cites this paper.

Multimodal Approaches for Visually-Rich Document Type Classification: A Comparative Analysis LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:46:19.633352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c325b111-1cd4-4337-ac24-e9bc7c863320 · inbound

ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation cites this paper.

ReforMe: Re-Shaping Documents with Contextual Prompting and Layout-Aware Propagation LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:56:38.959909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 97825941-3fd8-439f-b3c0-8f51a614a3ce · inbound

RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild cites this paper.

RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.195190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c82d3cd1-571a-4e75-bd28-b51d2340ede5 · inbound

Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi cites this paper.

Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:04:35.285146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.