Paper Citation Record · LEDGER

FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.07925.

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

pith.paper-citation-record.v1
2406.07925 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:20.894665Z

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
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
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 f305d27a-64df-4218-9b3b-d7e331dbb51e · 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 FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:20.894665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning cites this paper.

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

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:41.859867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58961e33-ac91-4cc2-b830-741ac29c11d9 · inbound

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

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.218174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be4c633-0e5a-4bd1-af45-197bad1d08b2 · inbound

Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization cites this paper.

Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:37:08.034731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1cb114-4e28-4ed0-b234-c18855dd09f9 · 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 FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:45.476301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7378d701-8950-4ad4-8111-c4e821c4e733 · inbound

Safe-FedLLM: Delving into the Safety of Federated Large Language Models cites this paper.

Safe-FedLLM: Delving into the Safety of Federated Large Language Models FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T11:13:25.516038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80370172-192b-4668-b855-b9883940c4b9 · inbound

SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs cites this paper.

SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:18:45.476301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b45d0b30-a41e-4428-a0c3-91a1b847275e · inbound

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models cites this paper.

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:18:45.476301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc34cb3e-1162-4118-ba5c-9c479200c3f7 · inbound

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs cites this paper.

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:18:45.476301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db8a7692-20d4-46cc-aaf3-27e2b85d7adc · inbound

Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach cites this paper.

Toward Efficient Membership Inference Attacks against Federated Large Language Models: A Projection Residual Approach FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:18:45.476301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8264a8af-749b-49c6-ba31-e9e5f9dc52ce · inbound

Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures cites this paper.

Test-Time Personalization: A Diagnostic Framework and Probabilistic Fix for Scaling Failures FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:18:45.476301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35b1f831-9c27-400e-bf4e-8eb7c0ec1ce7 · inbound

DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data cites this paper.

DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T03:18:45.476301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83900dd1-f2ea-4745-a532-da66538f3103 · 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 FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T02:23:28.937587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.