LLM-QFL: Distilling Large Language Model for Quantum Federated Learning | Paper Citation Record

Observation 75106132-aa4e-4e90-aa8d-1a909d005b09 · outbound

This paper cites OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 1

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Observation b537b100-dc9d-4a69-8f09-9c012663250b · outbound

This paper cites Towards Quantum Machine Learn- ing for Constrained Combinatorial Optimization: a Quantum QAP Solver,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Towards Quantum Machine Learn- ing for Constrained Combinatorial Optimization: a Quantum QAP Solver,

Reference 2

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Observation e56508ba-9a29-4ee0-9f3e-3571603e6b28 · outbound

This paper cites Quantum Support Vector Machine for Classifying Noisy Data,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Quantum Support Vector Machine for Classifying Noisy Data,

Reference 3

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Observation b6eeb6cf-7650-4fcd-bb5f-df9ad6450a2f · outbound

This paper cites Quantum Federated Learning Experiments in the Cloud with Data Encoding.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Quantum Federated Learning Experiments in the Cloud with Data Encoding

Reference 4

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Observation aaa5076b-3476-46d6-8acc-8005e2c8d248 · outbound

This paper cites A Survey on Multimodal Large Language Models.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning A Survey on Multimodal Large Language Models

Reference 5

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Observation df0496a3-490e-481a-b0d0-888732ddc807 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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Observation 2842c48e-a543-4b79-85d9-3aac582bd93f · outbound

This paper cites NetLLM: Adapting Large Language Models for Networking.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning NetLLM: Adapting Large Language Models for Networking

Reference 7

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Observation ef353449-8d6d-4cc5-bcc5-0d7ae8758320 · outbound

This paper cites FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model,

Reference 8

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Observation bd5d9f74-5f90-4487-bb34-4ee929fb60d2 · outbound

This paper cites A data- encoding approach to quantum federated learning: Experiment- ing with cloud challenges,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning A data- encoding approach to quantum federated learning: Experiment- ing with cloud challenges,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.949445Z

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Observation e775aabd-e239-406a-8b62-6dd9bd8ac06c · outbound

This paper cites QuantumFed: A Federated Learning Framework for Collaborative Quantum Training,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning QuantumFed: A Federated Learning Framework for Collaborative Quantum Training,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.833911Z

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Observation 4532c038-3d6a-45a5-b292-05f48cd5bbcf · outbound

This paper cites Quantum Federated Learning with Quantum Data,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Quantum Federated Learning with Quantum Data,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.742292Z

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Observation ec0bac9c-e76f-4007-af71-81a729d575bf · outbound

This paper cites Quantum federated learning through blind quantum computing,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Quantum federated learning through blind quantum computing,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.647382Z

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Observation 5d9a8cb6-4be1-4abd-975f-d1d37230d848 · outbound

This paper cites Federated quantum natural gradient descent for quantum federated learning,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Federated quantum natural gradient descent for quantum federated learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.523469Z

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Observation ce17d435-c673-4652-b5e5-cbab72dfcc84 · outbound

This paper cites Slimmable Quantum Federated Learning.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Slimmable Quantum Federated Learning

Reference 14

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Observation cd8f489d-edeb-4064-be45-3a69eb9c2cd8 · outbound

This paper cites Federated Quantum Machine Learning,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Federated Quantum Machine Learning,

Reference 15

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Observation 66513f05-1bd3-4b0e-b05b-87cb7967ce4e · outbound

This paper cites Non-IID Quantum Federated Learning with One-shot Communication Complexity.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Non-IID Quantum Federated Learning with One-shot Communication Complexity

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:32:44.388600Z

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Observation ea24a593-7bb0-43f6-b2b9-1625535b8d74 · outbound

This paper cites Quantum Federated Learning With Decentralized Data,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Quantum Federated Learning With Decentralized Data,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.365755Z

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Observation 5e6d2475-1252-4160-9221-e1714bd4312e · outbound

This paper cites A personalized quantum federated learning,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning A personalized quantum federated learning,

Reference 18

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Observation 49cb0f6a-7121-4131-a53f-d973ba919658 · outbound

This paper cites Chained continuous quantum federated learning frame- work,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Chained continuous quantum federated learning frame- work,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.246635Z

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Observation 88d34376-4706-44dd-83d8-62264d7581ca · outbound

This paper cites Quantum federated learning for metaverse: Analysis, design and implementation,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Quantum federated learning for metaverse: Analysis, design and implementation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.143835Z

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Observation e261e2f2-3264-478f-9b6d-9159e24b5b05 · outbound

This paper cites Performance Analysis and De- sign of a Weighted Personalized Quantum Federated Learning,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Performance Analysis and De- sign of a Weighted Personalized Quantum Federated Learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:49.071756Z

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Observation beba78a0-dd28-41d2-a149-c64deae5f292 · outbound

This paper cites PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.973799Z

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Observation 3414688e-0733-4027-bd25-33947a0e0f40 · outbound

This paper cites FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.827692Z

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Observation be5cb5fd-7d88-4fcf-9914-b5374482a546 · outbound

This paper cites Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.728693Z

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Observation a7bde3d4-bd2a-4a8f-b1b0-092f19e6784b · outbound

This paper cites FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 25

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Observation 20aef370-ab53-4f82-9cb3-d2970742ca17 · outbound

This paper cites FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.620202Z

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Observation 0a66fd8c-05a3-405a-b15f-71539b3eaa0f · outbound

This paper cites FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 27

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Observation f0322046-7901-488e-92c5-793502392a34 · outbound

This paper cites FedPETuning: When federated learning meets the parameter- efficient tuning methods of pre-trained language models,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning FedPETuning: When federated learning meets the parameter- efficient tuning methods of pre-trained language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.522030Z

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Observation 75cd5d11-9ede-422a-96ba-4ec8773a8f88 · outbound

This paper cites pFedPrompt: Learning Per- sonalized Prompt for Vision-Language Models in Federated Learning,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning pFedPrompt: Learning Per- sonalized Prompt for Vision-Language Models in Federated Learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.256166Z

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Observation 83d5ff32-b8f9-40a1-ab61-391543c0588a · outbound

This paper cites Scaling Federated Learning for Fine-Tuning of Large Language Models,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Scaling Federated Learning for Fine-Tuning of Large Language Models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.144452Z

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Observation b8a2d374-6ca7-43f2-9f1c-014bdfc4a3e7 · outbound

This paper cites Titanic: Towards Production Federated Learning with Large Language Models,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Titanic: Towards Production Federated Learning with Large Language Models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:48.067938Z

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Observation 716c7dea-5af1-4082-9a7b-ea704d1dd54e · outbound

This paper cites Recovering Private Text in Federated Learning of Language Models,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Recovering Private Text in Federated Learning of Language Models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.965436Z

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Observation 03eb3bec-b97d-4ce5-9c7c-a3844ab53a1c · outbound

This paper cites Genomic benchmarks: a collection of datasets for genomic sequence classification,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Genomic benchmarks: a collection of datasets for genomic sequence classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.860148Z

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Observation a8e7b83b-0e40-4cf3-8cb3-2f9b3468e518 · outbound

This paper cites Semeval-2017 task 4: Sentiment analysis in twitter,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Semeval-2017 task 4: Sentiment analysis in twitter,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.738401Z

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Observation 1453f973-7bdb-4f51-901d-3d524e70a824 · outbound

This paper cites Llama: Open and efficient foundation language models,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Llama: Open and efficient foundation language models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.645684Z

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Observation ca469260-d7a9-43ea-b945-3f9cd64defff · outbound

This paper cites Language models are unsupervised multitask learners,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Language models are unsupervised multitask learners,

Reference 36

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Observation 01d4cc40-ef68-45bd-8f5f-6346a05b97b0 · outbound

This paper cites Attention is All you Need,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Attention is All you Need,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.532852Z

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Observation da2a572a-d980-43ef-9842-c2ddcb6734b5 · outbound

This paper cites A Survey of Large Language Models.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning A Survey of Large Language Models

Reference 38

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Observation 7d73f962-9c4c-4496-ba08-6b9ee6c015b3 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 39

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Observation 88aa87a7-d106-4adc-948a-2eca85536bc2 · outbound

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

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 40

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Observation 498c0184-7337-4ec7-8d94-65bb6f5794f6 · outbound

This paper cites Distilling the Knowledge in a Neural Network,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Distilling the Knowledge in a Neural Network,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.396425Z

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Observation ae8156fe-b413-41ae-a93e-31f419454988 · outbound

This paper cites Model compression,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Model compression,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.316924Z

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Observation a2c08cf1-7f0d-42e8-805c-7b13c83ed437 · outbound

This paper cites A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimen- tal Design,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimen- tal Design,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.259241Z

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Observation 7e1551ad-7b37-4760-a1fc-3af17af8975c · outbound

This paper cites Communication-efficient federated learning via knowledge distillation,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Communication-efficient federated learning via knowledge distillation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:47.065589Z

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Observation 02c07bd5-e645-46be-b5ff-8830f956ef0d · outbound

This paper cites ON THE CONVERGENCE OF FEDA VG ON NON-IID,.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning ON THE CONVERGENCE OF FEDA VG ON NON-IID,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:46.825458Z

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LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Unresolved cited work

Reference 47

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Observation 849082ee-534c-44d5-bb4b-5c2312168231 · outbound

This paper cites an unresolved cited work.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Unresolved cited work

Reference 48

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Observation 8a79ff22-2e41-4fa0-8d70-ee027bfac271 · outbound

This paper cites an unresolved cited work.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Unresolved cited work

Reference 49

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Observation e1369b68-424c-4717-b748-c99e522592c4 · outbound

This paper cites For thesentencetask, there are three classesnegative, positive,andneutral with varying sample as shown in Figure 12.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning For thesentencetask, there are three classesnegative, positive,andneutral with varying sample as shown in Figure 12

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:45.999720Z

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Observation a0018a75-f1c8-4abf-93cf-bfb698430e63 · outbound

This paper cites The encoded and PCA (n=4) applied dataset is shown in Figure 13.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning The encoded and PCA (n=4) applied dataset is shown in Figure 13

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:45.881326Z

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Observation bf023b9d-ea0a-4824-96bf-d51d5ec20958 · outbound

This paper cites LLM is based on the Transformer architecture, while VQC is based on the Quantum Neural Network architecture.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning LLM is based on the Transformer architecture, while VQC is based on the Quantum Neural Network architecture

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:45.756136Z

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Observation 731da8a6-ce03-4e2c-b38f-d810c5cfeb95 · outbound

This paper cites Based on the required data sample size, we deduct small samples.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Based on the required data sample size, we deduct small samples

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:45.632418Z

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Observation a97172c4-965f-44e9-9bb5-8868c3d860f8 · outbound

This paper cites dset” for train or “test.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning dset” for train or “test

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:45.421723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5200151c-2389-49e2-99f0-41fd9880681c · outbound

This paper cites an unresolved cited work.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:32:45.201913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2d00cbfe-b6c8-478d-b698-91d7c3efa62d · outbound

This paper cites Job create exceeds open plan job usage limits.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Job create exceeds open plan job usage limits

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:32:44.911859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bed4efd1-c693-4317-b00b-eb9068ec662a · outbound

This paper cites an unresolved cited work.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:32:48.407372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers