Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.19684.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:10:05.415563Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T22:37:26.494552Z
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 e2cbb630-3bb8-4782-989a-d29b2f0b95b2 · inbound
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning cites this paper.
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:10:05.415563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1413c7a-f36c-43d1-a5c8-ca336a0980b3 · inbound
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation cites this paper.
Toward a Vision-Language Foundation Model for Medical Data: Multimodal Dataset and Benchmarks for Vietnamese PET/CT Report Generation MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T13:51:49.772453Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cbe650e-0647-49b3-9228-3165824af08d · inbound
XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis cites this paper.
XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:03:19.890099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d29316fa-8be9-4c72-b014-903201a6619c · inbound
Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models cites this paper.
Beyond Surrogate Gradients: Fully Differentiable Token Pruning for Vision-Language Models MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 72
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T13:13:27.437713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation aa4ff03c-160e-4ba0-8136-cdd4168ab181 · inbound
A unified multi-task framework enables interpretable chest radiograph analysis cites this paper.
A unified multi-task framework enables interpretable chest radiograph analysis MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T02:26:26.612820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e912aa31-b58d-48ce-9fbc-db27f3656292 · inbound
Learnable Token Sparsification for Efficient Gigapixel Whole Slide Image Reasoning cites this paper.
Learnable Token Sparsification for Efficient Gigapixel Whole Slide Image Reasoning MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T22:37:26.496193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 66c42414-cee6-4ad4-b5b2-795048e0f53e · inbound
PathSelect: Sequential Token Selection for Whole Slide Pathology cites this paper.
PathSelect: Sequential Token Selection for Whole Slide Pathology MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T17:15:34.947525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d41fddf2-6438-4ff3-b61f-5f0f148e643f · inbound
DiffPrune: differentiable information throttling for token pruning in vision-language models cites this paper.
DiffPrune: differentiable information throttling for token pruning in vision-language models MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generation
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:18:16.391750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.