Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T13:31:50.031383Z
Paper Citation Record · LEDGER
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models
As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.26554.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
13 of 13 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 05ffd618-ba4c-4a53-ba21-c3bf67e28a7c · outbound
This paper cites Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.478865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e273ddb7-e9ba-4c17-9ad9-0c7cc9ffad04 · outbound
This paper cites Token Merging: Your ViT But Faster.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models Token Merging: Your ViT But Faster
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.132485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 554e84dd-8e5f-4049-963b-9fff0e6f9b06 · outbound
This paper cites InEuropean Conference on Com- puter Vision, 19–35.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models InEuropean Conference on Com- puter Vision, 19–35
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.205675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dccde79-540c-45dc-9f0c-0377b851e5db · outbound
This paper cites arXiv:2403.17834.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models arXiv:2403.17834
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.317466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67f10e6e-7741-46f2-8e2e-ce5772543623 · outbound
This paper cites InPro- ceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 4084–4096.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models InPro- ceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 4084–4096
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.585708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27f5e0a6-1a91-4c90-bd1a-13c0f68943bc · outbound
This paper cites DINOv3.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models DINOv3
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.759096Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a75dfbe-705c-4332-9c4f-cd9d7b394b10 · outbound
This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 19792–19802.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 19792–19802
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.920929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b76c417c-7df6-4cef-976a-4adddbfb8e78 · outbound
This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:50.031383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdac6bc8-4d9c-4a27-83f5-f2f7b0f680c7 · outbound
This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models Flamingo: a Visual Language Model for Few-Shot Learning
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:48.928951Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e68d50a-a259-40c0-9161-6825b3e215d1 · outbound
This paper cites Wu,L.;Zhuang,J.;andChen,H.2024.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models Wu,L.;Zhuang,J.;andChen,H.2024
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.834700Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfb6c282-c217-4b04-887e-8be7488d40c8 · outbound
This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.000325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e42810f3-7dde-4684-bc51-6c3aec1343ab · outbound
This paper cites Qwen3-VL Technical Report.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models Qwen3-VL Technical Report
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.060106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7bad1cf-ec24-446a-8d96-69920e4dd851 · outbound
This paper cites MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models.
MedARC: Training-Free Adaptive Redundancy Compression of Visual Tokens for 3D Medical Vision-Language Models MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T13:31:49.673391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.