Paper Citation Record · LEDGER

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model

As of 19 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2501.03292.

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

pith.paper-citation-record.v1
2501.03292 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:06:37.046309Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy4
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64fbe8ac-3a15-4747-9595-aa7029fedc8b · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Differentially Private Federated Learning: A Client Level Perspective

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:36.964637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 367580c8-766e-42cd-b0df-dedfc1a0f3b3 · outbound

This paper cites One-shot federated learning.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model One-shot federated learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:37.612043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22babab1-0514-4b50-8e05-f3d45187392b · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:37.003873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1fe01d7-b6fc-4a91-b5a3-fb5064cf8b59 · outbound

This paper cites Integrating multimodal information in large pretrained transformers.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Integrating multimodal information in large pretrained transformers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:37.566802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22cce0a0-ad6f-4731-8f57-11abf30b77da · outbound

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

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:37.046309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0a3576-75fe-4684-bcf0-450268b38eba · outbound

This paper cites MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training

Reference 1992

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:37.038529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a9f6f7-e6d7-4af7-8464-21780a013c12 · outbound

This paper cites Language models are few-shot learners.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Language models are few-shot learners

Reference 1996

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:36.913275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5493da57-ceba-415a-bb18-aa486ebbcfcd · outbound

This paper cites Training Compute-Optimal Large Language Models.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Training Compute-Optimal Large Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:36.992020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91c60a1-4dd5-43f3-8717-abe6c10c85e2 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model WebGPT: Browser-assisted question-answering with human feedback

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:37.014355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41f7ba57-aa44-4f52-b87d-cc035ff1599e · outbound

This paper cites One-Shot Federated Learning.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model One-Shot Federated Learning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:36.983102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5338327d-43fd-40c9-89ac-0a9e9e809fe0 · outbound

This paper cites Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Llama Guard 3 Vision: Safeguarding Human-AI Image Understanding Conversations

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:36.928052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca68a405-afd0-45ee-b907-2324e80b6499 · outbound

This paper cites Expanding the Reach of Federated Learning by Reducing Client Resource Requirements.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Expanding the Reach of Federated Learning by Reducing Client Resource Requirements

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:36.919351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97f81d27-4952-422c-91dc-c897cb1b81f3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:36.937002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b88c5c-3dcd-4d86-b2d2-55d16f508b8c · outbound

This paper cites Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:06:37.394931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 484b3756-c04c-49cf-a57f-3895be695bd1 · outbound

This paper cites Feded: Federated learning via ensemble distillation for medical relation extraction.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Feded: Federated learning via ensemble distillation for medical relation extraction

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:37.534813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6d44f21-c8ea-4399-833e-ebba6482af1c · outbound

This paper cites Federated vs.

Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model Federated vs

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:06:37.663604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.