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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:48.754559Z

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T13:54:38.393967Z digest=sha256:7827a9e82798cf632382c7e32e4daf0afbebdc6ef1d385e5690e8fe3c3ab3927

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T01:43:44.406488Z digest=sha256:8157f84a96bf1b6c27ea3748b256df0dab5e429ba524d25623cf459b7fc798e0

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:cadc28c4f2970bcc1fc56b81a94c39790d1e86af0538a48d4d610bc30bed0dbd

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-21T21:58:12.430340Z digest=sha256:be1e59561aea7f9e754641554b0d9222a0ce8e1e9d264c60af037c46bbd55c01

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=sha256:5e8c3989ff069443c5624aa4f0dfa2903df968674d3f5a4140fafa363593823c

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T20:07:38.811639Z digest=sha256:574c2463997e4cf807b8ec66266395714871f658bb5d35ea6d3a7b7faa44ae1c

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T18:30:14.867025Z digest=sha256:772ff82daade6a3bb11deb9ee6d932f79c85db9ffb87b6a81b43927ef1a378e6

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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T01:27:04.241484Z digest=sha256:6f834a5fda4142c207bbd220c7cfe655747c3040d8ba6e3754eac917bd2b8602

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