Paper Citation Record · LEDGER

PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.12720.

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

pith.paper-citation-record.v1
2404.12720 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:28:56.764648Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:13:15.042714Z

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 0f233e32-b037-4401-a55e-61e8655d5b7d · inbound

Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning cites this paper.

Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T20:28:56.764648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea5a4ee-9f61-46ee-ad81-fdafa8b38b60 · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.491401Z

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 283ec2f1-5f71-4a8a-9021-a12dce7a11ae · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:24.407871Z

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 078c664f-980d-4fb2-9d3d-39ca10e0cd31 · inbound

Lightweight and Production-Ready PDF Visual Element Parsing cites this paper.

Lightweight and Production-Ready PDF Visual Element Parsing PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:09.148986Z

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 3339602c-1ccd-484f-8fed-3b001e845583 · inbound

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark cites this paper.

DocRetriever: A Plug-and-Play Framework for Multimodal Document Retrieval with Comprehensive Benchmark PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:13:15.044494Z

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 7a4c4363-aebd-46d1-9fa1-a2571c95fa34 · inbound

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth cites this paper.

DocOCR-Eval: A Correction-Based Framework for OCR Tool Selection Without Ground Truth PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-02T14:55:34.545662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.