Paper Citation Record · LEDGER

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2412.13720.

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

pith.paper-citation-record.v1
2412.13720 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:55:12.373534Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:05.454214Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:27:07.078659Z

Reference resolution

22 of 22 outbound references displayed

verified exact0
verified fuzzy8
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad1028ae-223c-4c74-881b-13b3a61936e7 · outbound

This paper cites Large Language Models: A Survey.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Large Language Models: A Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.291951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a518c5ce-2854-4969-8568-e1e287804a1d · outbound

This paper cites & Kiela, D.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models & Kiela, D

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.650822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97ab8bcf-e078-40fb-81e9-6da62a593edf · outbound

This paper cites an unresolved cited work.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:55:12.640093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ca8ba80a-2047-4696-9a52-fcbe1a66a480 · outbound

This paper cites an unresolved cited work.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:55:12.628753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 62176f2f-d81c-43f0-ad00-6a243efd10a3 · outbound

This paper cites & Zhou, J.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models & Zhou, J

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.616781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 487a9f4d-5c8d-4ff4-a020-b73da20049fa · outbound

This paper cites 10, 2024].

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models 10, 2024]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.604730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a6cddd3-caa8-4a83-9907-1b9bb0f4d6e8 · outbound

This paper cites ”Available Metrics.” [Online].

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models ”Available Metrics.” [Online]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.593389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2dcfd0be-26ef-4706-b3cf-99146117d602 · outbound

This paper cites Optimal Client Sampling for Federated Learning.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Optimal Client Sampling for Federated Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.320879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c28b80b-a795-4faf-85c3-16f4e376ce4f · outbound

This paper cites Federated Learning with Regularized Client Participation.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Federated Learning with Regularized Client Participation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.325325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 421736dd-e54c-47c7-91cf-ac148d513bae · outbound

This paper cites Z., & Yao, L.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Z., & Yao, L

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.580961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 408c3ce6-8231-4d31-b260-e683806c8326 · outbound

This paper cites an unresolved cited work.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:55:12.567780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63f43a84-30db-4716-9c60-ac62a555c7a9 · outbound

This paper cites FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.336501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22bed15e-3c56-44e3-a4cf-efdc84c8a614 · outbound

This paper cites & Chen, S.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models & Chen, S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.555633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a248179-809c-4ef8-af6d-d558389741ad · outbound

This paper cites & Chen, Y.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models & Chen, Y

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.542369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b8b1b37-f699-4cfb-aca2-6a6202b7fe84 · outbound

This paper cites Flower: A Friendly Federated Learning Research Framework.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Flower: A Friendly Federated Learning Research Framework

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.347155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a5432cc-2f61-4b8f-8b02-c1d3512a1440 · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models On the Convergence of FedAvg on Non-IID Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.351277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e9b57e-134d-4923-a55f-715aeb731828 · outbound

This paper cites ”PubMed Central Open Access PDF Archive.” [Online].

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models ”PubMed Central Open Access PDF Archive.” [Online]

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:55:12.530490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f74b7fc1-9588-4a2a-9df4-ba72f5dae537 · outbound

This paper cites an unresolved cited work.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:55:12.517213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 38227186-da9a-49ae-bd0c-88693a201b44 · outbound

This paper cites The Faiss library.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models The Faiss library

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.362026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e31ac3-6bdb-4190-9878-d98e0f9bbfad · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.365549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183d0128-7e76-4e15-8c97-847a97322e46 · outbound

This paper cites MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.369496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c45457d-710f-48d3-9060-58a2eeb1cf82 · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T12:55:12.373534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c82fd34d-1a45-4009-b506-76c5aeb29176 · inbound

Federated Retrieval-Augmented Generation: A Systematic Mapping Study cites this paper.

Federated Retrieval-Augmented Generation: A Systematic Mapping Study Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:27:07.156938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.