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Paper Citation Record · LEDGER

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2410.13085.

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

pith.paper-citation-record.v1
2410.13085 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:35:56.656089Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.189769Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation cites this paper.

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.

source=pdf_text observed=2026-08-07T23:35:56.656089Z digest=sha256:828f2a91fdb1cadfb58c8f61f48c70fd580f98aac2480c7033210769ecd80d11

Observation 69e9cec2-5a46-42f0-af9d-c514275dfb14 · inbound

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation cites this paper.

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:58.946846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:58.946846Z digest=sha256:cb16d031896427bbe1b93698e6f3dae1e5ab61c87d95cca1ec184fdd68dbc5e6

Observation f8b00934-d4bf-499e-a129-23641da62f2b · 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 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T12:42:27.113416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:42:27.113416Z digest=sha256:b4504d60330223cba66e41fe8497b02df345d924b7163af4425f65a9e662f664

Observation 2742562c-ddeb-4354-bf06-1157a149b324 · 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 MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:33:14.060873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:33:14.060873Z digest=sha256:d0c1995a6de73b5f9a9f094b2d392fbab4e54cd85c6b381b001d9d512aef0ebd

Observation e2dbe96d-6737-4bea-822a-aed2561d4f2c · inbound

MIRA: A Novel Framework for Fusing Modalities in Medical RAG cites this paper.

MIRA: A Novel Framework for Fusing Modalities in Medical RAG MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:34:25.495015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:34:25.495015Z digest=sha256:9745ffca27f71e0ac04cb87aa2cee4a912a60f7c8dd967543bccb5ee23fabf65

Observation d5c086df-ac1b-4c52-91ab-9783d4e66fa2 · inbound

QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval cites this paper.

QuRe: Query-Relevant Retrieval through Hard Negative Sampling in Composed Image Retrieval MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T16:52:25.333053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:52:25.333053Z digest=sha256:35ce5d073a2e3c44149c0392f39196a74fd8a0d3ddee87e0005f898d59d2811c

Observation 6b1af2f5-c375-4af6-8573-bf58fde856c3 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-05T20:28:54.438432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:28:54.438432Z digest=sha256:3eb4951bd013564f28bb8660d64d1859c408d3e6a3b2306a78b434ea17349918

Observation e0bf14cf-8f50-46b5-b013-930594d39a68 · inbound

Active Learning for Neurosymbolic Program Synthesis cites this paper.

Active Learning for Neurosymbolic Program Synthesis MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T17:44:13.092035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:44:13.092035Z digest=sha256:9e376484365de3553b1b86bab6548d470ccd9996ee5397adb7e508d9fd9350c2

Observation 34dc12ff-cf9e-4297-a82c-86d0ef4494f8 · inbound

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering cites this paper.

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-03T10:44:10.519505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T10:44:10.519505Z digest=sha256:be0e5f24e26a0b5a8d58e50030a3f28674e260c23b809753dc46c0d818f8a663

Observation afe62d2c-1479-4faa-bed6-f140d208d9f0 · inbound

SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning cites this paper.

SemEnrich: Self-Supervised Semantic Enrichment of Radiology Reports for Vision-Language Learning MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:11:03.253190Z

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.

source=pdf_text observed=2026-05-10T16:47:07.376206Z digest=sha256:96193f3d6b8bfe62bcece4dce6a8cd456c2aed7d8764f4748be50385cc6c3619

Observation 0d2ae102-195c-4f60-bb8c-df28f51389ba · inbound

Neuro-Oracle: A Trajectory-Aware Agentic RAG Framework for Interpretable Epilepsy Surgical Prognosis cites this paper.

Neuro-Oracle: A Trajectory-Aware Agentic RAG Framework for Interpretable Epilepsy Surgical Prognosis MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:01:04.434003Z

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.

source=pdf_text observed=2026-05-10T15:40:40.272294Z digest=sha256:3cc6870ffa650850286200a7a32706398cc2524ea3da7283ae02ab48811eea5c

Observation 6ade5e22-e56a-4f8b-ae21-96f7233bdd2c · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:51:06.805857Z

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.

source=pdf_text observed=2026-05-08T13:48:17.815440Z digest=sha256:0e280059a10272659a5fa641bb14731a896a7c6d3d981c8389270dbf4f3cd442

Observation 4b6c4a21-15ae-40e8-afa5-d9b6e8c13167 · inbound

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation cites this paper.

Retina-RAG: Retrieval-Augmented Vision-Language Modeling for Joint Retinal Diagnosis and Clinical Report Generation MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:00:54.913334Z

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.

source=pdf_text observed=2026-05-11T02:03:15.389641Z digest=sha256:b4bfea9d75235e2b5e1c922117ce638afd293f25f677453249e21d2a9df89518

Observation a1777d55-4012-4ef2-83d7-d4ad799d568f · inbound

MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph cites this paper.

MicroWorld: Empowering Multimodal Large Language Models to Bridge the Microscopic Domain Gap with Multimodal Attribute Graph MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:11:19.111826Z

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.

source=pdf_text observed=2026-05-12T03:08:45.633999Z digest=sha256:ddfd2c527c564555c37c53be4a437a6a47445ca54fe3103c0b458804c75e7917

Observation 21c6973c-56be-4a1d-886f-dfa84ec2e882 · inbound

FLOWREADER: Min-Cost Flow Optimization for Multi-Modal Long Document Q&A cites this paper.

FLOWREADER: Min-Cost Flow Optimization for Multi-Modal Long Document Q&A MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:17:21.479744Z

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.

source=pdf_text observed=2026-06-27T20:47:31.149251Z digest=sha256:55fa7dbbffaff06720fb1a75daae7455b5e92badd298eeccc21f42405f044a14

Observation 3221bf60-8c4e-4918-9192-50c2fa15a4e9 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 268

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:57:41.394491Z

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.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:eef26fa52cc73932ea7c87be8c1e81ded63ce7f8f3ce3e3b7f31be4f42ee9753

Observation 0675c5e1-f10d-418c-87b6-4eadbcc6dfd5 · inbound

MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization cites this paper.

MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:34.191816Z

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.

source=pdf_text observed=2026-06-26T17:14:39.736338Z digest=sha256:06bb1d5d8bd10336ac31caf85010c4f5a4c3096a8d57cf5ffb66e3da18bf7385