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Paper Citation Record · LEDGER

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering

As of 16 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.16604.

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

pith.paper-citation-record.v1
2607.16604 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:32:18.470918Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

25 of 25 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4538cbe8-2dbb-475d-a672-4ffbaf2b5c3d · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 1

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Observation b2484dc6-277a-4892-a94f-9a32cfe08242 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 2

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Observation ebd6590b-41cf-4959-9b21-89f4ffb1fc38 · outbound

This paper cites CRAG – comprehensive RAG benchmark,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering CRAG – comprehensive RAG benchmark,

Reference 3

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source=pdf_text observed=2026-08-01T20:32:16.383796Z digest=sha256:feca70b17e4365d4409f27071bc630756fba22799d7fab625980d0bafd800128

Observation 3aa02689-8a88-4a35-b7de-de4ce9f9e8ad · outbound

This paper cites PixelRAG: Web screenshots beat text for retrieval-augmented generation,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering PixelRAG: Web screenshots beat text for retrieval-augmented generation,

Reference 4

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source=pdf_text observed=2026-08-01T20:32:16.451693Z digest=sha256:52a7eea91e33432cd5963e60eef13cf63cf38f5909a5aac634d5a661fd6414c2

Observation 5c41c072-4d1d-4c41-a45b-bcd9ca294923 · outbound

This paper cites MMed-RAG: Versatile multimodal RAG system for medical vision language models,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering MMed-RAG: Versatile multimodal RAG system for medical vision language models,

Reference 5

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source=pdf_text observed=2026-08-01T20:32:16.533879Z digest=sha256:e211dd3c96e10813d51bc2ba0867578be28b61c8f5370e934d2d62c928802016

Observation 71cda8c7-be2b-4456-8664-0d00a92680bd · outbound

This paper cites ColPali: Efficient Document Retrieval with Vision Language Models.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering ColPali: Efficient Document Retrieval with Vision Language Models

Reference 6

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source=pdf_text observed=2026-08-01T20:32:16.609691Z digest=sha256:ec16e818a5fab4a511a77cbaf43e13ae1900593f90d5398c98a857d8047d4c95

Observation 38202c8e-1352-40f8-8e5f-49333e582865 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 7

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source=pdf_text observed=2026-08-01T20:32:16.683589Z digest=sha256:0b8cb6db5124c034a520a9a9b078281b81d463c312ff7e7709e9570764029f7a

Observation 2961fbf4-4c70-4e04-b49f-5794a096b1ba · outbound

This paper cites M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Reference 8

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source=pdf_text observed=2026-08-01T20:32:16.757013Z digest=sha256:fc79ea1acf56c3c1d72d2c0ce238ac099f1cde4c04f930b5a9a93aa671c82840

Observation 75a98041-c246-4ae1-b583-61b5df60b1d7 · outbound

This paper cites Bench- marking retrieval-augmented multimodal generation for document ques- tion answering,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Bench- marking retrieval-augmented multimodal generation for document ques- tion answering,

Reference 9

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source=pdf_text observed=2026-08-01T20:32:16.831867Z digest=sha256:ef13408ff2cab20ba7c2d68a720cb03b20185c2c5f0caf52ade7f01d3c3c9bac

Observation a947caf0-4aec-494c-b325-d19702c61a1c · outbound

This paper cites MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation

Reference 10

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source=pdf_text observed=2026-08-01T20:32:16.940686Z digest=sha256:c2020849b416bfdf06f49c88ea6c2037e18e11ef548056753148faeff5bcb522

Observation 0df98cbf-d124-4e4b-8a18-b8a3ec85d35a · outbound

This paper cites Multimodal Graph RAG for Long-range Visually Rich Document Understanding.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Multimodal Graph RAG for Long-range Visually Rich Document Understanding

Reference 11

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source=pdf_text observed=2026-08-01T20:32:17.046207Z digest=sha256:5c47c923c8fd1b3c57d8348404b265f89f60e4404e83b32c42634a574f678011

Observation c65138aa-1e9e-4bbc-b82e-20bfc427b024 · outbound

This paper cites PubLayNet: Largest dataset ever for document layout analysis,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering PubLayNet: Largest dataset ever for document layout analysis,

Reference 12

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source=pdf_text observed=2026-08-01T20:32:17.141690Z digest=sha256:bb163d61a7fff0cc832df1a07cbb18786300a95cbc1f6017b503fa3ec06ecf30

Observation 72ea4953-00d7-43b3-bd4c-2f6c05371d90 · outbound

This paper cites Dense passage retrieval for open-domain question an- swering,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Dense passage retrieval for open-domain question an- swering,

Reference 13

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source=pdf_text observed=2026-08-01T20:32:17.238396Z digest=sha256:d833e68d0fe4f17b2bc62220876eec6388d1bb66c132049e55fd5b1fc8a925f7

Observation 404be34c-1306-4259-842e-15b540679c4c · outbound

This paper cites RAGAS: Au- tomated evaluation of retrieval augmented generation,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering RAGAS: Au- tomated evaluation of retrieval augmented generation,

Reference 14

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source=pdf_text observed=2026-08-01T20:32:17.311439Z digest=sha256:a791a7029056aeba581b224dea0646926c821a7e719c716ca97b0e5bd0a03362

Observation eb8ed7eb-211c-4d71-b00d-e290c0d85bb7 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Learning transferable visual models from natural language supervi- sion,

Reference 15

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source=pdf_text observed=2026-08-01T20:32:17.430209Z digest=sha256:b8220a4afa5e9d318107c8f5b574cfe3375f6d282c361257c3668d7525b4be37

Observation 5be24bd1-9b21-478b-9344-169cc01c42d1 · outbound

This paper cites Exploring network structure, dynamics, and function using NetworkX,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Exploring network structure, dynamics, and function using NetworkX,

Reference 16

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source=pdf_text observed=2026-08-01T20:32:17.554305Z digest=sha256:c1d056106a01b335d2e5ca7d33cb99b233d290ba9c3bef17196c7cae3aed4be5

Observation 624cf77c-f692-4444-99b6-2579d894742d · outbound

This paper cites GPT-4o System Card.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering GPT-4o System Card

Reference 17

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Observation 909d2372-3f05-42b9-959b-12b4f5a02110 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Gemini: A Family of Highly Capable Multimodal Models

Reference 18

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source=pdf_text observed=2026-08-01T20:32:17.861687Z digest=sha256:9450bf8f5f50632a5a3874d1dff2cddbc6625d1ff1a5b9cdac15c48fa64c4ec2

Observation bf9a9633-d9c6-4992-ac86-61c4437cf19e · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering The llama 4 herd: The beginning of a new era of natively multimodal ai innovation,

Reference 19

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source=pdf_text observed=2026-08-01T20:32:17.930733Z digest=sha256:38c73271a409786e0ca8068f6835a35b0c91d4fa25cc450096779e6f9b0415e8

Observation 57c0fbe5-9473-4b98-a96d-02fdcbc34322 · outbound

This paper cites Llama 4 Scout 17B 16E Instruct model card,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Llama 4 Scout 17B 16E Instruct model card,

Reference 20

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source=pdf_text observed=2026-08-01T20:32:18.012147Z digest=sha256:ad45ccb7236d815fbb7e4c736bf5c860ea9087152191073927315c17b46b1d54

Observation 3ee55f96-babc-4f2b-be52-48b64d90d6a6 · outbound

This paper cites Llama 4 Maverick 17B 128E Instruct FP8 model card,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Llama 4 Maverick 17B 128E Instruct FP8 model card,

Reference 21

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source=pdf_text observed=2026-08-01T20:32:18.160411Z digest=sha256:9db038148abddb6f7b0bd51d9c84e3681ca328d35ca55cd99f74209347d47a2b

Observation af91b799-d97e-4683-b29c-3868a71553bc · outbound

This paper cites small-publaynet-wds,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering small-publaynet-wds,

Reference 22

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source=pdf_text observed=2026-08-01T20:32:18.234692Z digest=sha256:b42441825de982fbaa1e9f0e9e1be6fda792d23d43f98a40e095858b9f993884

Observation 5eeaa352-7929-4222-add8-fc5430cbbd2a · outbound

This paper cites New embedding models and api updates,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering New embedding models and api updates,

Reference 23

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source=pdf_text observed=2026-08-01T20:32:18.307058Z digest=sha256:0bb4c3cd73f39989381f450f81b6b2053a15503c95a551cede98e7b9283ee765

Observation 48c29ff7-5178-45d8-acc6-b89a510fde9f · outbound

This paper cites Billion-scale similarity search with GPUs,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering Billion-scale similarity search with GPUs,

Reference 24

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source=pdf_text observed=2026-08-01T20:32:18.430312Z digest=sha256:1594bcf52001e26cdebee201913460a7059a2056df3a6bbbe8c771fe16f1de66

Observation 7515ff62-6b24-47d0-bf3f-ff1eb4864bff · outbound

This paper cites GPT-4o mini: Advancing cost-efficient intelligence,.

When Do Multimodal and Graph-Augmented RAG Help? A Controlled Evaluation for Document Question Answering GPT-4o mini: Advancing cost-efficient intelligence,

Reference 25

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source=pdf_text observed=2026-08-01T20:32:18.470918Z digest=sha256:6624a001d814d0db6843d15f49d31c78db02e3bb9c659f32111fd66aff19d2bf

Pith citing papers

No inbound Pith citation observations are available.