Paper Citation Record · LEDGER

Federated LoRA with Sparse Communication

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2406.05233.

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

pith.paper-citation-record.v1
2406.05233 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:21.190736Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.950489Z

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 4d059639-d2dd-4977-ba54-11109a142b5f · 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 Federated LoRA with Sparse Communication

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:21.190736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a1b130f-7aeb-4656-8240-86299938dd06 · inbound

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity cites this paper.

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity Federated LoRA with Sparse Communication

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:28.092790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a123d7-6fee-49a9-939b-0d3bde124afc · inbound

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

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA Federated LoRA with Sparse Communication

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:25.152017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672da7be-7b33-43ee-b4bd-22fcda09aaa9 · inbound

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR cites this paper.

Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR Federated LoRA with Sparse Communication

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:49.174414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c2223c-c500-4a90-97b3-d6caf9d3a629 · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use Federated LoRA with Sparse Communication

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:57:15.966975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1633f46-e75f-4c18-b791-431c3d32dcaa · inbound

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design cites this paper.

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design Federated LoRA with Sparse Communication

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:56.596673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002889dd-8046-43f4-a069-fe005c096554 · 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 Federated LoRA with Sparse Communication

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:19.044187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e102b0-37e8-43bb-ae80-03bf6eac0fc0 · inbound

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights cites this paper.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Federated LoRA with Sparse Communication

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:33.513163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 044015eb-e993-4779-9a0f-7699ff8ed31c · inbound

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

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning Federated LoRA with Sparse Communication

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:09.204011Z

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 75a068a4-0076-4a43-8172-73dc5e3a111b · inbound

Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback cites this paper.

Self-Play Enhancement via Advantage-Weighted Refinement in Online Federated LLM Fine-Tuning with Real-Time Feedback Federated LoRA with Sparse Communication

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:54.398042Z

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 680716c4-bd5f-4a6a-b305-eeae97da72e5 · inbound

AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments cites this paper.

AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments Federated LoRA with Sparse Communication

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:17:24.952101Z

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.