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Paper Citation Record · LEDGER

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation

As of 9 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2502.04176.

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

pith.paper-citation-record.v1
2502.04176 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:20:01.204321Z

measured 54 of 54 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:30:08.756767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:40:07.536409Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved51
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc9e559f-d767-43c6-89d9-131cf994bb62 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-08-08T23:20:00.963580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:00.963580Z digest=sha256:5a76911433d3edc4147a98145aef23a15b92647b9c1534a46c6326c6ab3f5300

Observation d514c9de-8493-4418-94c1-1bf6cfd9f34c · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Hallucination of Multimodal Large Language Models: A Survey

Reference 2

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no resolver link, observed 2026-08-08T23:20:00.968048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:00.968048Z digest=sha256:8ec51d6d18a8d40cb07b1b087ad138339a847ab854af9d67111af2dd015414f7

Observation 3a24ebba-a154-46db-be7a-42df2939375e · outbound

This paper cites WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:20:01.476263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:20:00.972117Z digest=sha256:9a5fd50f3bb8691280cc8b2727a8f7c3f84ad21c2e2f3b7e23fb87edae0e854c

Observation 7ffb8d29-0fbf-43c1-929e-ae2e4a951736 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-08T23:20:01.647144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:20:00.975898Z digest=sha256:642e4eb9aafdca06e4b6de19b4a9a595640b32d29715a46d6e33daa0ebd51e8a

Observation ad6323e6-addb-4e8c-aedc-4305e405d28b · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 5

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no resolver link, observed 2026-08-08T23:20:00.979616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:00.979616Z digest=sha256:afedc01d38db06bab51948c3fbfd7bf0a379c978c6b4b9f21ebe94464d8aed66

Observation d2f0424b-b94b-4aae-9e70-994e4d7507bc · outbound

This paper cites MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T23:20:00.983801Z digest=sha256:8500fd6a1215a29ca2638303b0fdb576f9512f56f0932a86ac97866a4b506c23

Observation 43321dff-4be8-48d7-8055-8195a6e15781 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:00.987901Z digest=sha256:796579e601250f6a246b5dd6e87ec1f6c0157a0b255b5b54b7ea9bb49533395a

Observation ca3ee25c-58a3-430c-93da-15be130f60e3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:00.991692Z digest=sha256:2dc2e0d473eba2850f85a3053fd2e5d2f04ed6145a3337481be3fdc22450fabd

Observation 1de530e1-634d-4e33-96a5-99d5679dacb8 · outbound

This paper cites The Llama 3 Herd of Models.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation The Llama 3 Herd of Models

Reference 9

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no resolver link, observed 2026-08-08T23:20:00.996182Z

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source=pdf_text observed=2026-08-08T23:20:00.996182Z digest=sha256:67037bae258276e5e21371ab1094a103be059b21b82bd35b077618f735395ffa

Observation 79ec296d-fa21-4558-b7e0-f177ce35511c · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:00.999923Z digest=sha256:0e1442caeba3d449eb925198b70d8326ec6bf35a77e723d0bb53bdd8fd8d73f4

Observation 437b61c3-6d98-423a-921a-2018e88794e5 · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 11

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source=pdf_text observed=2026-08-08T23:20:01.003475Z digest=sha256:3d1ed67579cfe233b0ef833898eac3bd1b3491e50852459e016391fe4266aea1

Observation f80fd8c1-cbf8-4f06-9b3e-ffd6659b9abf · outbound

This paper cites KAT: A Knowledge Augmented Transformer for Vision-and-Language.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation KAT: A Knowledge Augmented Transformer for Vision-and-Language

Reference 12

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no resolver link, observed 2026-08-08T23:20:01.008761Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T23:20:01.008761Z digest=sha256:7a290121fa427d1f276371d683ddda158985f9979f9ddcb199afb150e5238735

Observation 90134a62-5c2b-4768-acb7-547d2d876932 · outbound

This paper cites RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Reference 13

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source=pdf_text observed=2026-08-08T23:20:01.012259Z digest=sha256:ef611ca418f05555ef8830fcf73330c82ead363a35a7f2610f194e7211b40cc4

Observation 6ea5f90e-fde6-493a-a325-4903327ebaef · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:01.015830Z digest=sha256:55577c9c6c9fca348b72a77fdfeec32c163006719bba5077bae3dfb7177808b8

Observation 8921ecbe-3616-46d2-a40c-2465f21ba7c7 · outbound

This paper cites MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines

Reference 15

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no resolver link, observed 2026-08-08T23:20:01.019195Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:01.019195Z digest=sha256:76eea202aff25a7fe4871e59f5ce406affd0e93d0c9de3f8c1ce990ccba92931

Observation 88fb0ce0-bb3f-4458-a746-9ea86cc554c7 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-08T23:20:01.638511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:20:01.022969Z digest=sha256:924f69df3ac335af0af2ccf076cbdea7e4884b2ebca300687b58976a9bf3eda7

Observation 2178f723-5ec4-4a05-a08b-d52092de6bcc · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-08T23:20:01.629626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:20:01.026324Z digest=sha256:d3d08930281e65735c710c3b1da9935def2e22cf258dd16c83b04c86615e2600

Observation a37951d5-4c65-4996-8dbf-85523f262b56 · outbound

This paper cites jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images

Reference 18

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source=pdf_text observed=2026-08-08T23:20:01.029650Z digest=sha256:38a688d43493d5ea096113fd14a1e50130c13b935693c0662285383a7e776fff

Observation cdf9a4d7-3dec-4341-ba60-4a7545620d76 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:01.033810Z digest=sha256:368f7a166f55b33ff8b5a9e5a6cf58f6ed3b3f969bcb0a70a89e4589d93408a7

Observation eb6ea0f1-5e91-4b31-a827-d4ea99000d8a · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f5eaa238-35e2-4d40-9b94-3cd644d66d62 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-08T23:20:01.053365Z digest=sha256:c7a02e38fafdde906d643c66a80ae8b1eace0581947db451513690d9d4e5e7f2

Observation 9538a13a-9d2b-4ddf-8226-c174c3ddb07c · outbound

This paper cites DeepSeek-V3 Technical Report.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation DeepSeek-V3 Technical Report

Reference 22

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source=pdf_text observed=2026-08-08T23:20:01.057079Z digest=sha256:70fc34f984a12b2f712ac2db1f93bd1aa098c2c23b39b288052165111fc8b78a

Observation a956a995-265c-402f-b209-7a4e5374e7b8 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:20:01.060763Z digest=sha256:fe5658ada9065f01d2416ddf242452ba224c8e9e6c3a482d5a4469ab90b776a6

Observation 1dbd175a-0f78-46ac-bbde-619fdc5c7fe5 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-08T23:20:01.064089Z digest=sha256:5af2e32bb1243f0250555db9fddda391dbf0d33d0b2077c806b5d2dc83f9b029

Observation dc1f6bf2-1fb4-4a3d-87db-c09205a667ac · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 957371e7-3cf7-474d-8f95-5d55219a6f75 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 26

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Observation c077fc8b-8275-43b2-bc75-478b5ca2888b · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9c3a9d43-9c71-4611-aca0-107f674ed545 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0fc1a6fe-3494-4a9f-a285-6ed68e1ff0ca · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 29

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c8be1041-9977-4989-a806-24b9fbe4ec46 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-08T23:20:01.100074Z digest=sha256:a0210eab6fc5fd3e1efe8acf732e7686d91a7367dbf4560f56484d363487f842

Observation c985f481-cea8-4282-a398-961788db2fca · outbound

This paper cites KILT: a Benchmark for Knowledge Intensive Language Tasks.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation KILT: a Benchmark for Knowledge Intensive Language Tasks

Reference 31

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source=pdf_text observed=2026-08-08T23:20:01.103232Z digest=sha256:b5a7f500b30bdd10c6170f46de17fb35420fefe38453a9d7b84b38a6b7fc8649

Observation e0a5ca9b-92e8-480d-a072-a818182179bd · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-08T23:20:01.106544Z digest=sha256:6ae0dc899dbf0a163fb1f2d7a28fc53e85c3d7de188bfbd8669800d8a9061182

Observation 83133fca-cc01-4119-8e71-f63612d5c6be · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 57c5008e-b476-4b62-9fb6-f77be29fe01d · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-08T23:20:01.114742Z digest=sha256:48e08d02c46b3ca9b8cf31746172fafd27995165ce6e28d8ccb424d515e826c3

Observation af5cd519-d9eb-4c80-9d0b-162febbbafab · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 429cb005-0821-4a03-95ce-81894137a3ec · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:20:01.144101Z digest=sha256:d2c540ce3b4b91613ca32f1300b1ce9a9687023def97711715406887f97a9087

Observation e76a441a-6be2-4fd2-8018-275e1a20a3a2 · outbound

This paper cites MultiModalQA: Complex Question Answering over Text, Tables and Images.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation MultiModalQA: Complex Question Answering over Text, Tables and Images

Reference 37

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no resolver link, observed 2026-08-08T23:20:01.147309Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T23:20:01.147309Z digest=sha256:25da2fad83b44a9fc8cf5a7ecac7f71266ebdd2a87899cc8cc3358077f07a03a

Observation 284b5d1c-6601-4742-afcd-b27179c33f6c · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 38

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T23:20:01.150915Z digest=sha256:ae4a011f77b32cb7cb1de922b3f30b81f5b002fbcfcaacfb0001d69d6f3424b6

Observation 206b83ec-cb7f-455f-9455-002cbebb2d5a · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 39

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no resolver link, observed 2026-08-08T23:20:01.154288Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T23:20:01.154288Z digest=sha256:4a0636a6b80c37a84e6bdd5a50562d1039c7d0b9534f6d8c83d613eb6ca849f7

Observation 604e49ee-fb1b-4dbb-8fb0-555ea65611e1 · outbound

This paper cites A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks

Reference 40

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no resolver link, observed 2026-08-08T23:20:01.157567Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T23:20:01.157567Z digest=sha256:d80766c373e47048f534faee8dd76b4a634ef580e37d178503d742aaf7dad866

Observation 5c5ebab0-a182-4617-bb2c-9f5bf84c7779 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 41

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no resolver link, observed 2026-08-08T23:20:01.160781Z

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source=pdf_text observed=2026-08-08T23:20:01.160781Z digest=sha256:18def31ebb02958a0db662fe1bc0af05208e3a6e2ccd2afaf781b32fdfa55f5d

Observation 9ae03aec-2e88-42e2-bd07-c98ce5106371 · outbound

This paper cites QAEncoder: Towards Aligned Representation Learning in Question Answering Systems.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation QAEncoder: Towards Aligned Representation Learning in Question Answering Systems

Reference 42

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no resolver link, observed 2026-08-08T23:20:01.164910Z

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source=pdf_text observed=2026-08-08T23:20:01.164910Z digest=sha256:320e6cac1cfdce61ff6c0391879e54d4d8981b597dd9aa1753f0e7af861e57be

Observation fc94833d-d1e8-473c-a940-103a61b5d6e7 · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-08T23:20:01.168526Z

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source=pdf_text observed=2026-08-08T23:20:01.168526Z digest=sha256:a37b5c0e3762d7cdb1b4ab46b3f477ea65942fe0f54db43c35a5d06290aec7c9

Observation 45bda60d-12bd-4e1f-8280-4902184fd413 · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation C-Pack: Packed Resources For General Chinese Embeddings

Reference 44

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no resolver link, observed 2026-08-08T23:20:01.171702Z

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source=pdf_text observed=2026-08-08T23:20:01.171702Z digest=sha256:9c775227ffe9781962903d2f263dcf1311c8d7d9c58e08d80c52128b3c0e802c

Observation 8e627791-c5cf-4537-8814-86df3d91d9d5 · outbound

This paper cites RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes

Reference 45

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no resolver link, observed 2026-08-08T23:20:01.175252Z

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source=pdf_text observed=2026-08-08T23:20:01.175252Z digest=sha256:4f6826b4a9091e599d0d38a9a7d6e81dcf5fc21f3d43b8e02c1991f97e3e25ee

Observation a06a6a69-5993-4120-a58d-014782bd304e · outbound

This paper cites an unresolved cited work.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Unresolved cited work

Reference 46

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raw_fallback, observed 2026-08-08T23:20:01.496260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T23:20:01.178772Z digest=sha256:40f155bd8de4dff4fd71aa0b91f9499742bc27156b267eb91f654e790a630288

Observation 0d9b605a-cdde-4a1a-88cc-c6fcd128c14f · outbound

This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 47

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source=pdf_text observed=2026-08-08T23:20:01.182050Z digest=sha256:536b2220f4826e073ec9644bab7ec4e490ea1f53ac3373e16211f6fd523c9db3

Observation 80eaf59c-3ff2-4f07-96d2-e354358e12d0 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation BERTScore: Evaluating Text Generation with BERT

Reference 48

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no resolver link, observed 2026-08-08T23:20:01.185459Z

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source=pdf_text observed=2026-08-08T23:20:01.185459Z digest=sha256:971583d56cbac539b679f5b9b56e8a4f9424a2a6b28157d908b84e61e4bcfe09

Observation d921b454-ad32-4c61-a09f-e6061c90f81f · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 49

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no resolver link, observed 2026-08-08T23:20:01.196499Z

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source=pdf_text observed=2026-08-08T23:20:01.196499Z digest=sha256:c27840255b4c96f144628d7911f96d3ffb20e92548124f76dda6e9283381a535

Observation f0639b5d-90d2-4819-9015-c577a8ec2ade · outbound

This paper cites RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 50

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no resolver link, observed 2026-08-08T23:20:01.200856Z

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source=pdf_text observed=2026-08-08T23:20:01.200856Z digest=sha256:1f588a11527e6bab0f89fea66c276fcc4a8d49efbbca9e8a56e28338679c1e1b

Observation 78f6d7f0-f6f5-428e-9a97-16b05588a599 · outbound

This paper cites MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering

Reference 51

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no resolver link, observed 2026-08-08T23:20:01.204321Z

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source=pdf_text observed=2026-08-08T23:20:01.204321Z digest=sha256:2cfd7777d2d04f6975b97126a1b7879715ae29b57b5e0e8ea42c2ecb61f1510e

Observation 43159f73-43ff-4c3d-923c-012756fe4084 · outbound

This paper cites Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselines.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation Multi-modal Retrieval Augmented Multi-modal Generation: Datasets, Evaluation Metrics and Strong Baselines

Reference 2024

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source=pdf_text observed=2026-08-08T23:20:01.071133Z digest=sha256:a13bd2f792d5314644231fb2128a15d97746d2d00ffa3e56d2bffa2a00dfa9ff

Pith citing papers

Observation 064feb79-9ef9-4f0c-996c-f11af597f472 · inbound

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges cites this paper.

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation

Reference 37

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source=pdf_text observed=2026-08-07T04:30:08.756767Z digest=sha256:a126642308ae012960baf5917623fb6322189680f822c5404b113366e68d3953

Observation 412345b8-5035-4ef3-9176-7deb5fbe1a2f · inbound

Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models cites this paper.

Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation

Reference 52

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verified exact
arxiv_id, observed 2026-07-04T20:40:07.538163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T19:58:23.594907Z digest=sha256:77c6d20eba98275847e02d86ef4986994ee3288d47a790245dea6b8b31f07841