Paper Citation Record · LEDGER

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.11192.

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

pith.paper-citation-record.v1
2607.11192 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:59:50.917441Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy0
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1503f42d-2456-4b72-a690-f76d13f48eaf · outbound

This paper cites an unresolved cited work.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:47.512163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce926125-01ae-4ea7-bec4-e6c04aaa7034 · outbound

This paper cites MEGA-Bench: Scaling multimodal evaluation to over 500 real-world tasks.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents MEGA-Bench: Scaling multimodal evaluation to over 500 real-world tasks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:47.618955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f42f38fe-2bdb-4d37-bee1-191651d23c39 · outbound

This paper cites HybridQA: A dataset of multi-hop question answering over tabular and textual data.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents HybridQA: A dataset of multi-hop question answering over tabular and textual data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:47.741062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae972ef0-121a-4b3a-97da-fa86effe503f · outbound

This paper cites RoDLA: Benchmarking the robustness of document layout analysis models.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents RoDLA: Benchmarking the robustness of document layout analysis models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:47.818325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa97481b-8b08-42f0-bdd4-ae2a715a85e0 · outbound

This paper cites FinQA: A dataset of numerical reasoning over financial data.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents FinQA: A dataset of numerical reasoning over financial data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:47.887088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1758d779-b0e3-46b8-820f-2fa1926ddd01 · outbound

This paper cites M-LongDoc: A benchmark for multimodal super- long document understanding and a retrieval-aware tuning framework.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents M-LongDoc: A benchmark for multimodal super- long document understanding and a retrieval-aware tuning framework

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:47.964650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0813694c-b113-495d-8769-8033b83f521c · outbound

This paper cites LongDocURL: a comprehensive multimodal long document benchmark integrating understanding, reason- ing, and locating.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents LongDocURL: a comprehensive multimodal long document benchmark integrating understanding, reason- ing, and locating

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.084336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87d17363-7126-457e-a2f9-3888a67aab7e · outbound

This paper cites Benchmarking retrieval- augmented multimodal generation for document question answering.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Benchmarking retrieval- augmented multimodal generation for document question answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.175604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 649cf94f-ccb4-4c6c-acac-1efd58691928 · outbound

This paper cites OCRBench v2: An improved benchmark for evaluating large multimodal models on visual text localization and reason- ing.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents OCRBench v2: An improved benchmark for evaluating large multimodal models on visual text localization and reason- ing

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.265432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd9df8c1-19e7-4ae0-b385-874eff285fcd · outbound

This paper cites Ho, Christopher R ´e, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Ho, Christopher R ´e, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.354389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de12bad6-9928-4403-a343-baeb8b5b53dc · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents FinanceBench: A New Benchmark for Financial Question Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.470437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea17296-4621-43b4-896b-90b57445ca0e · outbound

This paper cites FUNSD: A dataset for form understanding in noisy scanned documents.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents FUNSD: A dataset for form understanding in noisy scanned documents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.563708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a659499-5611-41bc-b05c-349e5c7a6e2a · outbound

This paper cites an unresolved cited work.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.656576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd29ea2-af0e-4f38-8116-a7ec9fcde986 · outbound

This paper cites OCRBench: On the hidden mystery of OCR in large multimodal models.Science China Information Sciences, 67(12):220102, 2024.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents OCRBench: On the hidden mystery of OCR in large multimodal models.Science China Information Sciences, 67(12):220102, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.744101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e8bb9bc-eeca-4549-a62e-76d8d84dc41d · outbound

This paper cites MathVista: Evaluating mathemat- ical reasoning of foundation models in visual contexts.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents MathVista: Evaluating mathemat- ical reasoning of foundation models in visual contexts

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.834842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61b70dc-e9b4-4801-bc6f-05934a7a1bdd · outbound

This paper cites MMLongBench-Doc: Bench- marking long-context document understanding with visualiza- tions.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents MMLongBench-Doc: Bench- marking long-context document understanding with visualiza- tions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.923992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af192d1-7a62-4dd6-b9fe-94530adde980 · outbound

This paper cites OK-VQA: A visual question answering benchmark requiring external knowledge.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents OK-VQA: A visual question answering benchmark requiring external knowledge

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:48.992266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b872526-b1bf-4200-bc91-220acd6c05d1 · outbound

This paper cites ChartQA: A benchmark for question answering about charts with visual and logical reasoning.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents ChartQA: A benchmark for question answering about charts with visual and logical reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.063092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f486bcc6-a4bd-4e26-b4e0-0a7a3b1624b3 · outbound

This paper cites ChartQAPro: A more diverse and challenging benchmark for chart question answering.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents ChartQAPro: A more diverse and challenging benchmark for chart question answering

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.124703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d2dff2-ebdc-4450-8bc6-b2df960b5754 · outbound

This paper cites an unresolved cited work.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.229554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3e52b5-44f5-44ea-a4d3-1998f019f6d4 · outbound

This paper cites an unresolved cited work.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.315744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92254d90-4566-446c-9797-8bb1fda97fae · outbound

This paper cites Khapra, and Pratyush Kumar.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Khapra, and Pratyush Kumar

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.400835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d6c6ae-7b8a-4a9c-a0b9-07b8405d0de1 · outbound

This paper cites OmniDocBench: Benchmarking di- verse PDF document parsing with comprehensive annotations.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents OmniDocBench: Benchmarking di- verse PDF document parsing with comprehensive annotations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.493409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f42ddebf-350c-41b7-bf56-8a982b89b375 · outbound

This paper cites CORD: A consolidated receipt dataset for post-OCR parsing.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents CORD: A consolidated receipt dataset for post-OCR parsing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.593004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b8ed1b-db6d-42ad-a10d-5b3f8fb1cedd · outbound

This paper cites ANLS* -- A Universal Document Processing Metric for Generative Large Language Models.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents ANLS* -- A Universal Document Processing Metric for Generative Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.672205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ecc4cf-06e7-4946-8282-1f8d7d04cfe9 · outbound

This paper cites Nassar, and Peter W.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Nassar, and Peter W

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.761158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c11d521-ab77-4be5-ad5f-bad25e686ef9 · outbound

This paper cites Rossi, and Franck Dernoncourt.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Rossi, and Franck Dernoncourt

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.823769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede9e7f1-8e60-4b31-9358-c1f87da616a1 · outbound

This paper cites A-OKVQA: A benchmark for visual question answering using world knowl- edge.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents A-OKVQA: A benchmark for visual question answering using world knowl- edge

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:49.901797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f09951-8e71-4775-b55f-9c5e2e53a30f · outbound

This paper cites DocILE benchmark for document information localization and extraction.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents DocILE benchmark for document information localization and extraction

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.020674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e3c209-609e-49f7-a35d-f78ef6f23148 · outbound

This paper cites Hi- erarchical multimodal transformers for Multipage DocVQA.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Hi- erarchical multimodal transformers for Multipage DocVQA

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.104411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82a8dbe-274e-4496-897b-efe72a965661 · outbound

This paper cites Document understanding dataset and evaluation (DUDE).

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Document understanding dataset and evaluation (DUDE)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.194909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bebf2e7-3eaf-415c-ab46-f8c169c7e410 · outbound

This paper cites CharXiv: Charting gaps in realistic chart understand- ing in multimodal LLMs.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents CharXiv: Charting gaps in realistic chart understand- ing in multimodal LLMs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.290926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d60f0562-17b8-4307-bc4e-7ce972cc611f · outbound

This paper cites MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.379963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 040927e4-e03f-4c22-8e85-47ea0024c31b · outbound

This paper cites MMMU-Pro: A more robust multi-discipline multimodal understanding benchmark.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents MMMU-Pro: A more robust multi-discipline multimodal understanding benchmark

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.498953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22fbf20f-1d95-48c8-accb-db24db9354b6 · outbound

This paper cites Pub- LayNet: Largest dataset ever for document layout analysis.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Pub- LayNet: Largest dataset ever for document layout analysis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.558777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5918a48f-22b1-4db9-a739-69fd7559c5d8 · outbound

This paper cites Real5-OmniDocBench: A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Real5-OmniDocBench: A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.615006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0f1e0a6-8b21-41fc-8b51-2c919fd545f9 · outbound

This paper cites TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.686542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64126c30-e86a-46ef-8b1d-4e2f06a934b2 · outbound

This paper cites Towards complex document understanding by discrete reasoning.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents Towards complex document understanding by discrete reasoning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.761784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e7b5f7-4d36-451c-a7fc-3ee6d0384bc1 · outbound

This paper cites MMDocBench: Benchmarking large vision-language models for fine-grained visual document understanding and grounding.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents MMDocBench: Benchmarking large vision-language models for fine-grained visual document understanding and grounding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.862993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfd442fb-a8db-4fb9-8d76-8b659cd90987 · outbound

This paper cites DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems.

GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T06:59:50.917441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.