Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:17:48.121800Z
Paper Citation Record · LEDGER
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
As of 14 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 6 inbound Pith citation observations for arXiv:2506.08356.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T21:07:07.540354Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T15:34:48.298282Z
Reference resolution
28 of 28 outbound references displayed
- verified exact0
- verified fuzzy18
- unresolved10
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f5398c87-321f-4aff-86a1-21002849a1ac · outbound
This paper cites Prior: Prototype-driven radiograph interpretation with optimized representations.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Prior: Prototype-driven radiograph interpretation with optimized representations
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation adaefa76-cb4a-4e27-87c3-f13d49d1e008 · outbound
This paper cites The rsna pulmonary embolism ct dataset.Radiology: Artificial Intelligence, 3(2):e200254, 2021.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding The rsna pulmonary embolism ct dataset.Radiology: Artificial Intelligence, 3(2):e200254, 2021
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.643582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c1c29dcc-f63b-4ef2-b991-ffd567ea686a · outbound
This paper cites an unresolved cited work.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Unresolved cited work
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91f15da7-3eba-4917-9148-45c94322bef9 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Imagenet: A large-scale hierarchical image database
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.617956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d8a41f0d-4869-489b-a081-c179de96b5c6 · outbound
This paper cites an unresolved cited work.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Unresolved cited work
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6d96e1aa-2df2-4258-a98c-9a1fc689c5ef · outbound
This paper cites Lungren, and Serena Yeung.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Lungren, and Serena Yeung
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.584723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 89fd9e6b-e67c-46f1-9532-a4bd50684258 · outbound
This paper cites Quilt-1m: One million image-text pairs for histopathology.Advances in neural information processing systems, 36:37995–38017,.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Quilt-1m: One million image-text pairs for histopathology.Advances in neural information processing systems, 36:37995–38017,
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1e131399-c868-46f3-b7a3-89f9cc78067e · outbound
This paper cites Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9d394f8d-0bdf-466f-bfd0-25daee8e2489 · outbound
This paper cites UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9396f99-3ef5-4e29-a832-d924af718337 · outbound
This paper cites Lepikhin.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Lepikhin
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.533942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b7bcc4d9-e371-46ce-9c39-807f1fb082f8 · outbound
This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f422193-30af-4b45-b2dd-f20620740774 · outbound
This paper cites Pmc-clip: Con- trastive language-image pre-training using biomedical docu- ments.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Pmc-clip: Con- trastive language-image pre-training using biomedical docu- ments
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.518368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2ca4d97a-76c8-4a08-b64b-9290924ac3d0 · outbound
This paper cites Visual instruction tuning, 2023.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Visual instruction tuning, 2023
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f72311e-a390-4356-9a28-7809a119428f · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Swin transformer: Hierarchical vision transformer using shifted windows
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.491696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 541895c5-d679-4d4e-a516-8856621bfd9e · outbound
This paper cites Lovt: Local vision-text alignment for medical image analysis.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Lovt: Local vision-text alignment for medical image analysis
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.476519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3eca9f33-bf40-449b-8640-cef5ed274c1e · outbound
This paper cites Quiltnet: Efficient deep learning inference on multi-chip accelerators using model partitioning.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Quiltnet: Efficient deep learning inference on multi-chip accelerators using model partitioning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.460406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bd551092-4124-4d44-8d5a-1975a3e38f4d · outbound
This paper cites An open access thy- roid ultrasound image database.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding An open access thy- roid ultrasound image database
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.442592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d06c4b51-7716-48a3-9252-109404a92299 · outbound
This paper cites Learning transferable visual models from natural language supervision.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Learning transferable visual models from natural language supervision
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.425176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d57f68db-d743-4a2a-923a-b62be92f49c5 · outbound
This paper cites an unresolved cited work.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Unresolved cited work
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b7a8db79-c5a3-49a5-91d4-4c4d2b79a712 · outbound
This paper cites an unresolved cited work.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Unresolved cited work
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efa49bd9-b0ad-446b-a36e-da63638d3529 · outbound
This paper cites Large language models encode clinical knowledge.Nature, 620 (7972):172–180, 2023.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Large language models encode clinical knowledge.Nature, 620 (7972):172–180, 2023
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.393110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 31d7b083-5b53-4600-acf5-83e43db10259 · outbound
This paper cites Medclip: Contrastive learning from unpaired medical images and text.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Medclip: Contrastive learning from unpaired medical images and text
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.377499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0fa57136-a3e1-45a1-a1f5-0125523da4c8 · outbound
This paper cites Mm-retinal: Knowledge-enhanced founda- tional pretraining with fundus image-text expertise.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Mm-retinal: Knowledge-enhanced founda- tional pretraining with fundus image-text expertise
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.361645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd752eab-7fd1-444f-abcf-e21d77a4ec37 · outbound
This paper cites Deepseek-vl2: Mixture-of-experts vision-language models for advanced multimodal understanding, 2024.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Deepseek-vl2: Mixture-of-experts vision-language models for advanced multimodal understanding, 2024
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04250e9c-33a1-4e97-86a3-4c0192ec77eb · outbound
This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:17:48.106513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec5c7f92-22b3-476f-b221-aa77b1730f19 · outbound
This paper cites CLIP in Medical Imaging: A Survey.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding CLIP in Medical Imaging: A Survey
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:17:48.111873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3adb32e7-0589-4a28-815c-30456422e0c9 · outbound
This paper cites Zhao, Andrew Dai, Zhifeng Chen, Quoc Le, and James Laudon.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Zhao, Andrew Dai, Zhifeng Chen, Quoc Le, and James Laudon
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.335486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 174f643f-cd80-4210-8d85-820ba0178085 · outbound
This paper cites Advancing radiograph representation learning with masked record mod- eling.ICLR, 2023.
MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding Advancing radiograph representation learning with masked record mod- eling.ICLR, 2023
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:17:48.319118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation 8e69c662-1f2c-479a-baf2-bfa69f288ff1 · inbound
M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model cites this paper.
M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 10b2fc26-09ab-4448-8bda-453d9588253d · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
Reference 9
- Resolution
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- arxiv_id, observed 2026-05-12T08:41:25.884555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c96ccbb1-8ccd-4a9b-8b84-783d7f9de267 · inbound
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution cites this paper.
MedSynapse-V: Bridging Visual Perception and Clinical Intuition via Latent Memory Evolution MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T00:53:53.444926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation de0fbaff-f16c-454a-b27c-feb5d9d600e0 · inbound
Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models cites this paper.
Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T08:04:43.009309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 09f23761-25ac-4aea-a4e8-fd0f331179da · inbound
Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey cites this paper.
Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:34:48.299864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 57e88c4d-9892-4f82-997b-395e7c3a7058 · inbound
LocAnyMed: Vision-Language Grounding for Multimodal Medical Images cites this paper.
LocAnyMed: Vision-Language Grounding for Multimodal Medical Images MedMoE: Modality-Specialized Mixture of Experts for Medical Vision-Language Understanding
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.