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Paper Citation Record · LEDGER

Federated LoRA with Sparse Communication

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:21:35.658770Z

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

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  • malformed identifier0
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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 73f48e06-e71f-4399-9d44-818b080db656 · inbound

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation cites this paper.

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation Federated LoRA with Sparse Communication

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T10:21:35.658770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:21:35.658770Z digest=sha256:c598f3355a8a6b97fa981b346c3d4d6323c1b8f75525f456f9330669d3b6ac5f

Observation cacfa445-76ae-4eee-9533-2c00368257f4 · inbound

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

Decentralized Low-Rank Fine-Tuning of Large Language Models Federated LoRA with Sparse Communication

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T14:26:47.994182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:47.994182Z digest=sha256:8dee0b89c94fe3c6a26c54fe07e278400c1b1bb5ec1df85166140c1a92c38597

Observation 4323ae66-b5ee-4593-a4a3-5828d9955432 · 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 Federated LoRA with Sparse Communication

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T20:20:45.759491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:20:45.759491Z digest=sha256:4243d5034fe6d468b37cabc32f378a5d375c3025d47e4d3a96182a6715e77c44

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.

source=pdf_text observed=2026-08-07T14:36:21.190736Z digest=sha256:0f5d6e0ce86689fee9711ee4b50c3c3dd6ed2bd966dfaed3cf010c5b62a4bcb3

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.

source=arxiv_source observed=2026-08-07T12:01:28.092790Z digest=sha256:91ee780f7534993062898b5f9bc5ab1913085c1df637e36c66d9c152e6b71050

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.

source=pdf_text observed=2026-08-07T11:57:25.152017Z digest=sha256:1d9104e00f048cfb485859d50cc81b45e4b7160502eeca98ec600460499ac834

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.

source=pdf_text observed=2026-08-07T10:19:49.174414Z digest=sha256:40974641a161834f59a528a8b9254f499c9cfb434381041f698eb1b85a66e6bb

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.

source=pdf_text observed=2026-08-06T18:57:15.966975Z digest=sha256:37f08b925b331f8e9d21e45b635a66054a5bd48a520d32cf254680916a595474

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.

source=pdf_text observed=2026-08-06T14:49:56.596673Z digest=sha256:79c44679e4b8a18705dac459ee66734584d647c029f2751303ab461c2d7e1dab

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.

source=pdf_text observed=2026-08-05T11:39:19.044187Z digest=sha256:bb35f2ed42898eb01f0c7dd28b3815203b6197ad9c8c113a30434d63f16d2cad

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.

source=pdf_text observed=2026-08-05T05:37:33.513163Z digest=sha256:438d1b7ea73641c3b643b621ff6f2dd230aa5cddf8acd01c12242de79e3d0c71

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T14:50:12.857642Z digest=sha256:600a2dc27bfdc8a6a3dc8c63dc39ccccb43daa6ebd6eb9a9a1265b4f52d786f9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-11T02:15:57.763495Z digest=sha256:02bda7c24f727556cee90e7e3a10f863fd3ca0b238de01d1ceded0c3dd73a3f5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T19:50:03.055481Z digest=sha256:c5f4b26ac359288e327db85faa0c7551aaaefc8b8bfa002692983453d3770b70