Paper Citation Record · LEDGER

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2508.06496.

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

pith.paper-citation-record.v1
2508.06496 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

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measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:30:16.612345Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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verified fuzzy38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14e827d4-3a7f-4295-8a7b-82a5f0ff9681 · outbound

This paper cites The inception team at vqa-med 2020: Pre- trained vgg with data augmentation for medical vqa and vqg.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG The inception team at vqa-med 2020: Pre- trained vgg with data augmentation for medical vqa and vqg

Reference 1

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Observation eb557038-88f4-4a43-b0ee-c850e2ccf7de · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Flamingo: a visual language model for few-shot learning

Reference 2

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Observation 8602554d-77e0-436c-94d1-8e251e02e49a · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Bottom-up and top-down attention for image captioning and visual question answering

Reference 3

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Observation 80d00b1a-e995-4d4e-b5be-d985abfe1037 · outbound

This paper cites Vqa: Visual question answering.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Vqa: Visual question answering

Reference 4

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This paper cites A-okvqa: A dataset for adap- tive open knowledge visual question answering.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG A-okvqa: A dataset for adap- tive open knowledge visual question answering

Reference 5

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Observation e792d4f3-7a7e-4d15-96f2-df33914590e8 · outbound

This paper cites Ocr-vqa: A dataset for visual question answering with text in the wild.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Ocr-vqa: A dataset for visual question answering with text in the wild

Reference 6

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This paper cites Okvqa: A dataset for open knowledge visual question answering.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Okvqa: A dataset for open knowledge visual question answering

Reference 7

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Observation d71c85ab-0fa7-44fa-a174-c2d049d6783a · outbound

This paper cites Veagle: Advancements in multimodal rep- resentation learning.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Veagle: Advancements in multimodal rep- resentation learning

Reference 8

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This paper cites Visualgpt: Data-efficient adaptation of pretrained language models for image captioning.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Visualgpt: Data-efficient adaptation of pretrained language models for image captioning

Reference 9

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Observation e7ccec12-a2b3-4400-957f-a558af30c738 · outbound

This paper cites Unsupervised Learning of KB Queries in Task-Oriented Dialogs.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Unsupervised Learning of KB Queries in Task-Oriented Dialogs

Reference 10

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Observation b4f33e8a-ebaa-41b2-958b-5da2bf0b5877 · outbound

This paper cites Multi-level Chaotic Maps for 3D Textured Model Encryption.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Multi-level Chaotic Maps for 3D Textured Model Encryption

Reference 11

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Observation 8cae71b0-d663-4c17-b572-2f014ef36f99 · outbound

This paper cites From local to global: A graph rag approach to query-focused sum- marization, 2025.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG From local to global: A graph rag approach to query-focused sum- marization, 2025

Reference 12

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Observation 39130238-8533-4adb-8d0d-1a2a8dd27a6d · outbound

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Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Unresolved cited work

Reference 13

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Observation dbbee4d6-7915-4b50-a854-cd9903bea7e6 · outbound

This paper cites Prompt learning with knowledge graphs for zero- shot relation extraction.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Prompt learning with knowledge graphs for zero- shot relation extraction

Reference 14

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Observation da219817-ea59-44c6-9930-56e48ceb66f2 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Imagebind: One embedding space to bind them all

Reference 15

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Observation 3cb271ab-e6c5-424f-881e-0af75fd87ede · outbound

This paper cites Girshick.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Girshick

Reference 16

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Observation 06590fca-c945-4c04-95dc-75762879fd07 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 17

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This paper cites Bliva: A simple multimodal llm for better handling of text-rich visual questions.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Bliva: A simple multimodal llm for better handling of text-rich visual questions

Reference 18

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Observation b568daf0-229e-4f1d-9114-669fb58e0758 · outbound

This paper cites Interpretable medical image visual question answering via multi-modal relationship graph learning.Med- ical Image Analysis, 97:103279, 2024.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Interpretable medical image visual question answering via multi-modal relationship graph learning.Med- ical Image Analysis, 97:103279, 2024

Reference 19

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Observation cc70cdb8-06c0-4033-b745-1084bcd88cc1 · outbound

This paper cites Retrieval-augmented gener- ation for knowledge-intensive nlp tasks.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Retrieval-augmented gener- ation for knowledge-intensive nlp tasks

Reference 20

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This paper cites Llava-med: Training a large language- and-vision assistant for biomedicine in one day.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Llava-med: Training a large language- and-vision assistant for biomedicine in one day

Reference 21

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This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 22

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Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 23

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This paper cites Masked vision and language pre-training with uni- modal and multimodal contrastive losses for medical visual question answering.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Masked vision and language pre-training with uni- modal and multimodal contrastive losses for medical visual question answering

Reference 24

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This paper cites Lawrence Zitnick.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Lawrence Zitnick

Reference 25

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This paper cites Visual instruction tuning.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Visual instruction tuning

Reference 26

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This paper cites Can we Trust Chatbots for now? Accuracy, reproducibility, traceability; a Case Study on Leonardo da Vinci's Contribution to Astronomy.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Can we Trust Chatbots for now? Accuracy, reproducibility, traceability; a Case Study on Leonardo da Vinci's Contribution to Astronomy

Reference 27

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This paper cites Foundation models for generalist medi- cal artificial intelligence.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Foundation models for generalist medi- cal artificial intelligence

Reference 28

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Observation df2e7e2e-9c2a-46e5-bc64-df92b5195c67 · outbound

This paper cites Med-flamingo: a multimodal medical few-shot learner.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Med-flamingo: a multimodal medical few-shot learner

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:50:54.809268Z

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This paper cites K-pathvqa: Knowledge-aware multimodal rep- resentation for pathology visual question answering.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG K-pathvqa: Knowledge-aware multimodal rep- resentation for pathology visual question answering

Reference 30

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Observation 44b3a3d5-27fd-4a0a-bc36-d7e7d952c21d · outbound

This paper cites Overcoming data limi- tation in medical visual question answering.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Overcoming data limi- tation in medical visual question answering

Reference 31

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Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG St-vqa: Visual question answering with a focus on scene texts

Reference 32

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Observation 2c23d8ba-83b4-42c1-8a05-38b2adcde634 · outbound

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

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Learning transferable visual models from natural language supervi- sion

Reference 33

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This paper cites Docvqa: A dataset for document visual question answer- ing.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Docvqa: A dataset for document visual question answer- ing

Reference 34

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This paper cites Maivar-t: Multimodal audio-image and video action recognizer using transformers.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Maivar-t: Multimodal audio-image and video action recognizer using transformers

Reference 35

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This paper cites Sharma, A.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Sharma, A

Reference 36

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This paper cites Multimodal few-shot learning with frozen language models.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Multimodal few-shot learning with frozen language models

Reference 37

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This paper cites Attention is all you need.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Attention is all you need

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:50:54.711077Z

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Observation a1a75ff0-74c1-46f4-ba75-805f6df4ab5a · outbound

This paper cites Medical graph rag: Towards safe medical large language model via graph retrieval-augmented generation.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Medical graph rag: Towards safe medical large language model via graph retrieval-augmented generation

Reference 39

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Observation 92cc7a48-8678-4f67-8c0b-8788de69aa39 · outbound

This paper cites Mmed-rag: Versatile multimodal rag system for medical vi- sion language models.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Mmed-rag: Versatile multimodal rag system for medical vi- sion language models

Reference 40

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This paper cites Rule: Reliable multimodal rag for factuality in medical vision language models.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Rule: Reliable multimodal rag for factuality in medical vision language models

Reference 41

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Observation 60dfb2fe-7e4f-4ab4-b54e-b52444cd22fe · outbound

This paper cites Ramm: Retrieval-augmented biomedical visual question answering with multi-modal pre-training.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Ramm: Retrieval-augmented biomedical visual question answering with multi-modal pre-training

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:50:54.664309Z

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Observation 58fe69e3-9993-41a6-b5dd-69ff91bacd1d · outbound

This paper cites A generalist vision–language foundation model for diverse biomedical tasks.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG A generalist vision–language foundation model for diverse biomedical tasks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:50:54.650767Z

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Observation e7c6b56e-e8e5-425d-836e-adad4a8b1ab4 · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 44

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This paper cites Multimodal representation learning by alternating uni- modal adaptation.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Multimodal representation learning by alternating uni- modal adaptation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:50:54.638093Z

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Observation 409a3c91-1642-4f8a-a0c8-d3c77c495ad1 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T15:50:54.477871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f91b943d-e1e0-46c1-89c2-96937c131f6d · outbound

This paper cites an unresolved cited work.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:50:54.625452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 93c184ca-0c8a-4628-bf3f-73fa882a2742 · outbound

This paper cites Crossclr: Cross-modal contrastive learning for multi-modal video representations.

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG Crossclr: Cross-modal contrastive learning for multi-modal video representations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:50:54.612976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation f7428869-4c5b-484c-9168-979a7864cfe6 · inbound

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy cites this paper.

The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG

Reference 164

Resolution: unresolved; no resolver link, observed 2026-07-14T06:30:16.612345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.