Paper Citation Record · LEDGER

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2506.01388.

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

pith.paper-citation-record.v1
2506.01388 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:10.777750Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T04:38:49.512293Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:42:04.436599Z

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy12
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66858e4b-f5bc-4c16-86b1-5e9300c60366 · outbound

This paper cites Form-nlu: Dataset for the form natural language understanding.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Form-nlu: Dataset for the form natural language understanding

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:13.861693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ea21328d-8faa-4527-b7cd-6c93d3d69b14 · outbound

This paper cites 3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding 3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:49:11.108695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4ddf283f-3cd7-4135-9c16-1951ac6b46f3 · outbound

This paper cites Mask r-cnn.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Mask r-cnn

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:13.694463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d4a62393-152b-4421-88f4-980b42b1b12c · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36,.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Visual instruction tuning.Advances in neural information processing systems, 36,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:12.886130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dea4200a-6c0e-4ec7-b2fd-21b27c72125a · outbound

This paper cites Hello gpt-4o.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Hello gpt-4o

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:09.628609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5cc385-1a0a-4151-a9f2-c55e03706a25 · outbound

This paper cites Cord: a consolidated receipt dataset for post-ocr pars- ing.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Cord: a consolidated receipt dataset for post-ocr pars- ing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:12.630089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 53d1255f-7b73-44f8-a7b1-695661a9ab82 · outbound

This paper cites You only look once: Unified, real-time object detection.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding You only look once: Unified, real-time object detection

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:12.402963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 543dd6a1-9e1e-436f-ab5a-916c46b4e8d3 · outbound

This paper cites Towards robust visual information extraction in real world: New dataset and novel solution.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Towards robust visual information extraction in real world: New dataset and novel solution

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:11.711186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8337f539-ca88-4a94-ac26-752cbbdbf8a1 · outbound

This paper cites LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:10.488825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed0ceba4-9e7c-4f19-95d3-5f1362107066 · outbound

This paper cites xgen-mm (blip-3): A family of open large multimodal models.arXiv preprint arXiv:2408.08872,.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding xgen-mm (blip-3): A family of open large multimodal models.arXiv preprint arXiv:2408.08872,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:10.632836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ac4e59-5f8b-464d-ad6b-1c3e5a998a2b · outbound

This paper cites Detrs beat yolos on real-time object de- tection.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Detrs beat yolos on real-time object de- tection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:11.441845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b44f0f5e-c3a8-4266-a7e9-e3cddaa59010 · outbound

This paper cites Kleister: key information extraction datasets involving long documents with complex layouts.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Kleister: key information extraction datasets involving long documents with complex layouts

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:12.141867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57ef1854-b6c7-403c-a274-757055004725 · outbound

This paper cites Faster r-cnn: Towards real-time ob- ject detection with region proposal networks.Advances in neural information processing systems, 28,.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Faster r-cnn: Towards real-time ob- ject detection with region proposal networks.Advances in neural information processing systems, 28,

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:09.961206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a21c81-ceae-488b-adf1-bccb94a64354 · outbound

This paper cites Icdar2019 competition on scanned receipt ocr and information extraction.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Icdar2019 competition on scanned receipt ocr and information extraction

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:13.536986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27088a13-a74f-44e8-89d0-052d6c690446 · outbound

This paper cites Layoutlmv3: Pre-training for document ai with unified text and image masking.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Layoutlmv3: Pre-training for document ai with unified text and image masking

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:13.374992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f1697ce6-a1d4-4c7d-abb0-a4bcab3d657b · outbound

This paper cites Unifying vision, text, and layout for universal document processing.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Unifying vision, text, and layout for universal document processing

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:11.928334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d13bf1e7-d242-4def-87fb-9122e04bcc48 · outbound

This paper cites Dit: Self-supervised pre- training for document image transformer.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding Dit: Self-supervised pre- training for document image transformer

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:49:13.125103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29675e18-bc61-4d54-a1b8-bd3c025bcad1 · outbound

This paper cites David: Domain adap- tive visually-rich document understanding with synthetic insights.arXiv preprint arXiv:2410.01609,.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding David: Domain adap- tive visually-rich document understanding with synthetic insights.arXiv preprint arXiv:2410.01609,

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:08.221446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11227b6e-6f49-4fa6-9d1c-ed6ce3a5b060 · outbound

This paper cites PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering.

VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:08.346682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6e2022bd-1519-4e72-9d7a-8af56266ec37 · inbound

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends cites this paper.

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:42:04.439042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.