Paper Citation Record · LEDGER

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 11 inbound Pith citation observations for arXiv:2502.08826.

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

pith.paper-citation-record.v1
2502.08826 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:35:56.696199Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:23.389782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T13:52:19.900688Z

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy9
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05af56c5-002d-4b9e-86e3-878fb9b05e28 · outbound

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

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation ColPali: Efficient Document Retrieval with Vision Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.592793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a87a8cb-ba8b-44c6-b64b-0d440ab080ec · outbound

This paper cites Quilt-1M: One Million Image-Text Pairs for Histopathology.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Quilt-1M: One Million Image-Text Pairs for Histopathology

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.596727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bba59d9-2c57-4b31-bf42-5a430becd9f1 · outbound

This paper cites In Proceedings of the Seventh Fact Extraction and VERification Work- shop (FEVER), pages 280–296, Miami, Florida, USA.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation In Proceedings of the Seventh Fact Extraction and VERification Work- shop (FEVER), pages 280–296, Miami, Florida, USA

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-07T23:35:57.060328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ef38721-359e-40b8-807a-e07e6cb9b81b · outbound

This paper cites RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.611119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9218ba7b-d40b-4ded-a336-e612624d698c · outbound

This paper cites ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation ENWAR: A RAG-empowered Multi-Modal LLM Framework for Wireless Environment Perception

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.614682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a4e7827-97ca-416c-80b4-8d28d47004fc · outbound

This paper cites OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.618177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43e93990-8672-4384-8f17-d2c0a2a14b34 · outbound

This paper cites In EMNLP-Findings.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation In EMNLP-Findings

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.200681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ab2d5fe-6f1a-448a-94e3-6567b66a70e8 · outbound

This paper cites Qwen2.5 Technical Report.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Qwen2.5 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.628121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a0c812-13ae-463b-ae08-72ba0ec64ed4 · outbound

This paper cites Reasoning LLMs for User-Aware Multimodal Conversational Agents.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Reasoning LLMs for User-Aware Multimodal Conversational Agents

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T23:35:56.932994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 434af60d-f575-4461-b9b5-c5fa8b652af5 · outbound

This paper cites RAVEN: Multitask Retrieval Augmented Vision-Language Learning.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation RAVEN: Multitask Retrieval Augmented Vision-Language Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.635121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d86c8ca0-ce33-4a21-9e16-3b49d0ddde45 · outbound

This paper cites Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented Generation

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T23:35:56.906988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 160ac32f-3e20-4e8e-b23d-f07a6a600840 · outbound

This paper cites Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.641630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e0b30f7-f02f-4163-9ad5-8bb04d200ac0 · outbound

This paper cites Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.645227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eded5b37-1dfd-46f0-97ce-b92c1073c59b · outbound

This paper cites A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.652468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446b6532-d96d-450e-bd5d-1408315f2191 · outbound

This paper cites MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.656089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cac02ab-68db-4eae-bbb7-469423258364 · outbound

This paper cites Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.659200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa924b93-b754-405b-b7e7-894f78269409 · outbound

This paper cites UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.662287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33f88b7-94b0-435e-abb8-8ff90b8e6dbd · outbound

This paper cites Preprint, arXiv:2402.10828.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Preprint, arXiv:2402.10828

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.665201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cdd8dc1-59d3-454e-ac30-51e83ef4162a · outbound

This paper cites MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.668315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b51c1402-16a4-4739-ab7b-7c1b7375b8ae · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 22010–22019.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 22010–22019

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.192093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c93073cb-44c9-452c-8baf-19e0c059e9f2 · outbound

This paper cites an unresolved cited work.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:35:57.172631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1f820524-db67-455b-8088-9d45c8098376 · outbound

This paper cites Any-to-Any.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Any-to-Any

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.163104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7599c248-0d31-4538-86bb-ac732037468d · outbound

This paper cites an unresolved cited work.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:35:57.152643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57ee6bac-cabf-4d4f-8335-75ec5b950253 · outbound

This paper cites an unresolved cited work.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T23:35:57.115139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3de8cf9a-4538-4be6-9770-a09f7bff2786 · outbound

This paper cites In the med- ical domain, MIMIC-CXR (Johnson et al., 2019) and CheXpert (Irvin et al., 2019) facilitate tasks such as medical report generation.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation In the med- ical domain, MIMIC-CXR (Johnson et al., 2019) and CheXpert (Irvin et al., 2019) facilitate tasks such as medical report generation

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.182386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34e2f063-8de8-40ad-9246-26317cc008c8 · outbound

This paper cites SPIDEr (Liu et al., 2017), used in (Zhang et al., 2024c), combines both metrics.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation SPIDEr (Liu et al., 2017), used in (Zhang et al., 2024c), combines both metrics

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.143120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e29ca871-d3ae-4c9e-8696-6371df74f8a2 · outbound

This paper cites The formula for FID is: FID = ∥µr − µg∥2 + tr(Σr + Σg − 2 p ΣrΣg) (8) where µr and Σr are the mean and covariance of real images’ feature representations, respectively.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation The formula for FID is: FID = ∥µr − µg∥2 + tr(Σr + Σg − 2 p ΣrΣg) (8) where µr and Σr are the mean and covariance of real images’ feature representations, respectively

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.124480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 185024ac-c874-460e-a6a2-0294e6e8da96 · outbound

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

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Gemini: A Family of Highly Capable Multimodal Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.648890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 974f99ed-c961-4ba0-9cd8-aaa90ee754f8 · outbound

This paper cites CLIP Score (Hessel et al., 2021), used in (Shari- fymoghaddam et al., 2024; Zhang et al., 2024c), measures image-text similarity using CLIP (Radford et al., 2021).

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation CLIP Score (Hessel et al., 2021), used in (Shari- fymoghaddam et al., 2024; Zhang et al., 2024c), measures image-text similarity using CLIP (Radford et al., 2021)

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.133810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83c22ffe-8966-4450-81ce-c10c02edf91a · outbound

This paper cites In Proceedings of the IEEE/CVF winter conference on applications of computer vision, pages 2200–2209.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation In Proceedings of the IEEE/CVF winter conference on applications of computer vision, pages 2200–2209

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.219450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cc69f9b0-6d28-4543-85be-d828aafaed0c · outbound

This paper cites In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’22, page 3360–3362, New York, NY , USA.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’22, page 3360–3362, New York, NY , USA

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:35:57.210062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b55844db-be89-4d90-83cc-e23818038121 · outbound

This paper cites DeeperImpact: Optimizing Sparse Learned Index Structures.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation DeeperImpact: Optimizing Sparse Learned Index Structures

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.589123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2cad6b0-d883-48aa-87bf-d32062f03bd2 · outbound

This paper cites CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T23:35:57.105502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1dc58f8b-d36e-4198-851d-26e621e7aacc · outbound

This paper cites Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning.

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T23:35:56.603869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 957e7946-809c-4644-8e59-59e001502df2 · inbound

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation cites this paper.

Mixture-of-Retrieval Experts for Reasoning-Guided Multimodal Knowledge Exploitation Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:52:19.903166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1cedabc9-ef10-483d-a9ac-9c3fd76c3476 · inbound

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation cites this paper.

mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:23.389782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc872ce5-6551-497e-8d92-014e2e7d0332 · inbound

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions cites this paper.

BioMol-MQA: A Multi-Modal Question Answering Dataset For LLM Reasoning Over Bio-Molecular Interactions Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.656161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f78863e-e058-499f-8271-8b3df8218a37 · inbound

SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding cites this paper.

SceneRAG: Scene-level Retrieval-Augmented Generation for Video Understanding Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:35:50.716342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb752c60-9d6e-41af-83c0-657c8d2a317e · inbound

Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation cites this paper.

Agent-based Condition Monitoring Assistance with Multimodal Industrial Database Retrieval Augmented Generation Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:57:53.267960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6869c8-7c6c-4e41-8853-6f95fe75901c · inbound

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation cites this paper.

Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:33:12.540766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cfaa1fa-b651-45fa-839b-1778fcca0cdf · inbound

Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework cites this paper.

Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:28:13.933168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f17bf5d-868b-44ac-bd91-732d05df83fe · inbound

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG cites this paper.

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:12.212336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88a20606-a9f0-467e-b96e-515ad028ab75 · inbound

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG cites this paper.

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:28.128622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a3a43eb-8e9a-4a81-8bd4-4c349282aea8 · inbound

Modality Relevance is not Modality Utility: Post-hoc Selective Modality Escalation for Cost-Aware Multimodal RAG cites this paper.

Modality Relevance is not Modality Utility: Post-hoc Selective Modality Escalation for Cost-Aware Multimodal RAG Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T02:37:53.169236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 703b3f3f-fbfa-4d1d-81b3-de9fd80f5d68 · inbound

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG cites this paper.

Reason Before You Retrieve: Agentic Planning for Multi-modal RAG Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-02T10:20:56.226707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.