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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:42.033944Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T13:54:38.393967Z digest=sha256:f7d383a06f0ecbb3f9ee052b9f45b3ddcc34e4e80ed5784effad7f60e06de8ff

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.

source=pdf_text observed=2026-08-07T14:32:42.033944Z digest=sha256:462a9c0cb3b0e6e8675febd2b9c742b7a3a830ad7db85b49df13f66d17abd659

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.

source=pdf_text observed=2026-08-07T13:42:46.295564Z digest=sha256:09564d9bb4455baf0b5116707ea79b86ec9ba0c5bd5020ce4f8e0146a8f23dc0

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.

source=pdf_text observed=2026-08-07T12:20:46.494096Z digest=sha256:662f9c24a48724d9878cd6f0cd5e333e9f264f01701680e65e4f9c06daaa4558

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T01:43:44.406488Z digest=sha256:c8808f55cd48d568e1c3dd37df53c62e82b0b760c7f90a4411c54506e641444b

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.

source=pdf_text observed=2026-08-07T01:03:41.633323Z digest=sha256:f1e24050e98a6530160d5d3c9a5a641057ff64ac209d8dfb99a5e95542fa1241

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.

source=arxiv_source observed=2026-08-07T04:18:31.894512Z digest=sha256:d2d6b3eb43b038aba5e36ea5920597f0e2c9491fadc6ab89b922595700fc3d49

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.

source=pdf_text observed=2026-08-06T20:59:02.480244Z digest=sha256:ed3b57b8a3881354ecd585aff0ac3a2889f663171f3cd83b882256c4f8f5a065

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.

source=pdf_text observed=2026-08-06T17:53:48.754559Z digest=sha256:bf18e4e552e9b74472446dc4066c88c55f2d87d00c95782421022808f3f5aa8d

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.

source=pdf_text observed=2026-08-05T11:39:18.764751Z digest=sha256:21fd2be1628e9bae6c3697b883a15c177cd45461dc1c8b2bdf7d26b4dbba7cae

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-21T21:58:12.430340Z digest=sha256:f33a704819fd60c5fea0d80e956752075e456c218a84b91578d0a895783dc49b

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.

source=pdf_text observed=2026-08-04T19:48:48.190822Z digest=sha256:a11f0ad1f04f82cbe291d4d24d3b179e77677234ee6d94050248488532184476

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.

source=pdf_text observed=2026-08-03T20:29:51.869030Z digest=sha256:ccaddfc46712c787dc55d80ad6fa7adbf7cd914c3f64c478b249c9d9ac323891

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T20:07:38.811639Z digest=sha256:c80a515f6091fafd9a0bf06a3daf12cb925be4479fcfb2662c9d1470f6ad8ae3

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.

source=pdf_text observed=2026-08-02T20:06:14.258378Z digest=sha256:04fbe0231593f197b368d0f966c7b9d59e6a1ff62e8e99dcd4c5b923d34f781c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T18:30:14.867025Z digest=sha256:182c286e212133274fc0d5a1a665d61c78a4dcfe98d22e10021bbcda4f1f7701

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T01:27:04.241484Z digest=sha256:5218df708e130c31ef4e2280dd12d534c1db666b5ced9d1404af92b79760d7cb

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.

source=arxiv_source observed=2026-08-02T09:01:51.090768Z digest=sha256:e3e2e2dbe1457def94ed4cfa3ff9b4d79aad492236dc08e9a9b2887bf74fe0ca