Paper Citation Record · LEDGER

pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2310.13283.

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

pith.paper-citation-record.v1
2310.13283 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:19:33.315157Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0f77eea3-ef9f-45c0-9322-6fadfc0d4c3e · inbound

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction cites this paper.

Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T11:19:33.315157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efed6137-f862-4e14-a0ec-99b200f1839f · inbound

Many-Task Federated Fine-Tuning via Unified Task Vectors cites this paper.

Many-Task Federated Fine-Tuning via Unified Task Vectors pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T15:42:38.927051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f46647d-9fed-4505-9f0f-264338aba46d · inbound

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence cites this paper.

AI-in-the-Loop Sensing and Communication Joint Design for Edge Intelligence pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T19:06:34.325400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5783d2c9-c093-4d08-a8b1-de00eeae7cd1 · inbound

A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.

A Survey on Foundation Models for Personalized Federated Intelligence pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 161

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:34:57.832381Z

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 c4348a06-c253-475e-92d0-cf96b3b1f29b · inbound

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation cites this paper.

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:21.677787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e08e8e9-fb8c-48c3-83cd-29e8c2cc37bd · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:46.689800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0047f39b-76cf-4c92-9bc7-602f9159a942 · inbound

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA cites this paper.

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.407448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a7a39a3-a973-4c5f-b328-f240de099609 · inbound

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models cites this paper.

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:32.419377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a6a76e-799a-4d98-91c3-4c54004c57c8 · inbound

A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication cites this paper.

A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:52.818307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e82633-3e6c-48fb-bc1d-3885e73d7253 · inbound

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity cites this paper.

H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T11:37:42.938314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859e7550-2011-4ccb-abfd-d5861bb8a326 · inbound

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning cites this paper.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T05:47:56.706388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be8594b7-7976-473c-a935-59d1f0d7bb4d · inbound

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints cites this paper.

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:00:41.048937Z

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 6d926b82-54ac-4214-9eea-e07015f7676c · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:05.943226Z

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 04674954-0028-4266-89df-e22cce8421bf · inbound

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning cites this paper.

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:09.268036Z

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 a8c4b1c8-7500-4ce1-87b7-0c82d5524e70 · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:27.496171Z

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 2f8e6630-3611-41c1-96f4-ee97d0b5b9b7 · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:23:47.963447Z

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 5a19f077-6def-46e6-a371-7157702168c1 · inbound

FedSDR: Federated Self-Distillation with Rectification cites this paper.

FedSDR: Federated Self-Distillation with Rectification pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T12:18:16.307225Z

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 bf1eeb4e-4da7-40fd-b203-265c4687d866 · inbound

Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation cites this paper.

Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical Segmentation pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:07:27.012327Z

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 c19a935e-8252-44b3-99d7-3ac1812f742d · inbound

Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning cites this paper.

Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T02:23:31.403903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ec82f62-bce2-4826-9e20-b4df55ea28e3 · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:51.169227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af1b5c7c-4115-45bc-9ebe-5bf1174286da · inbound

FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense cites this paper.

FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T12:07:44.278166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acef721a-b04a-48af-bee3-934db06a1a94 · inbound

Rethinking Personalized Reward Modeling for LLMs under Preference Heterogeneity via Group-Debiased Federated Learning cites this paper.

Rethinking Personalized Reward Modeling for LLMs under Preference Heterogeneity via Group-Debiased Federated Learning pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:24.328798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.