Paper Citation Record · LEDGER

FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2409.05976.

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

pith.paper-citation-record.v1
2409.05976 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:12.398635Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:16:58.651080Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 38343b07-f692-4f48-a918-687094b7ad35 · inbound

Modality Alignment Meets Federated Broadcasting cites this paper.

Modality Alignment Meets Federated Broadcasting FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T13:57:38.999702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f2720f-8d04-4db1-a8a9-50d6d39c430b · inbound

AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning cites this paper.

AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T11:24:12.214484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a600be-a888-4b0b-9c1c-69a8e3a594d3 · inbound

Decentralized Low-Rank Fine-Tuning of Large Language Models cites this paper.

Decentralized Low-Rank Fine-Tuning of Large Language Models FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:26:47.988265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8df9f74d-e498-468c-8377-feec52585706 · inbound

Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs cites this paper.

Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T20:20:45.818007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6a7eb37-5aff-49dd-9f9e-85bdeaa2e75f · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 142

Resolution: unresolved; no resolver link, observed 2026-08-16T11:24:12.398635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dfbd923-b04f-417b-bffc-d49db8cdf85c · inbound

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning cites this paper.

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 109

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:30.804633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d930cf-1a70-45c0-80d7-b5c7488852dd · inbound

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning cites this paper.

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:54:52.916473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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

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

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

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:42.033944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38976448-b22b-4b01-bd5e-4d7044f75c0e · 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 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:42:46.295564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e02cad9-dde7-4802-92d8-9f18a4c15c5f · inbound

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption cites this paper.

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:46.494096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14345970-2989-4964-98b3-6be159a29e08 · inbound

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model cites this paper.

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-22T01:44:30.371403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 12668488-4d7f-42af-905b-a5c7be40a40c · inbound

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation cites this paper.

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:41.633323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d3e264-bc7e-4dc0-a755-445279419b9c · 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 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:31.894512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f46de6-3c64-4808-bef5-e05fb84fd548 · inbound

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE cites this paper.

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:27.764845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ff07f6-ccb0-43f3-beb1-d05a180084db · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T20:59:02.480244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0517748-081f-4fa3-b2d7-e808e0ca38f8 · inbound

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix cites this paper.

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:48.754559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc765b05-20c2-4961-8bcd-d32b5882c88e · inbound

A Survey: Towards Privacy and Security in Mobile Large Language Models cites this paper.

A Survey: Towards Privacy and Security in Mobile Large Language Models FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:18.764751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d174f7c7-988d-45e5-806e-3699b1abddc1 · 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 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:00:41.429883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1875822b-55ee-4e4b-9149-549dc5006be4 · inbound

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models cites this paper.

DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:48:48.190822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0998660a-16ca-4b1a-a4a0-b79e582f1917 · inbound

ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models cites this paper.

ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T20:29:51.869030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b00153-d0a8-450d-9a45-2b93849ca9ca · inbound

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

Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:10:18.160714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f1a08bd-1fc5-42d3-a8ca-45b691cdbd24 · inbound

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning cites this paper.

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T20:06:14.258378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b36fac5a-5f7e-449b-baf3-ac42c179441e · inbound

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge cites this paper.

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:30:51.297047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e7fdf49f-1583-44bd-9d13-fb3e235dc239 · inbound

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models cites this paper.

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:16:58.652434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75550042-cd31-4890-99d1-dda36d8ab576 · 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 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:51.090768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.