Paper Citation Record · LEDGER

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2308.06522.

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

pith.paper-citation-record.v1
2308.06522 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:54.591185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:16:58.682897Z

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 5369c5a2-2c56-4249-9171-9ae594a1a5c4 · inbound

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:54.591185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb169f4e-89fe-4ed7-80c4-fe6e81a58e12 · 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 SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:46.142862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d4ee95-a4a8-4279-a2e2-05e8acd32b0c · inbound

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection cites this paper.

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:05:54.647098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3330144-5d95-46bb-ae23-4bde854e8133 · inbound

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

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:24.919860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d5cd222-702f-417e-b790-33414a3c2816 · 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 SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:36.794523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8e92727-27ac-41d0-ac9a-f72ba639c0a9 · inbound

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints cites this paper.

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:48:49.930462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3617a61f-dbda-4940-a424-865517e17c65 · inbound

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

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:43.290392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 093e054c-0f15-408d-bf53-e166f18e6d7c · inbound

A Comprehensive Data-centric Overview of Federated Graph Learning cites this paper.

A Comprehensive Data-centric Overview of Federated Graph Learning SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 185

Resolution: unresolved; no resolver link, observed 2026-08-06T15:11:16.023095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80d3ebaa-e6f4-4f1d-b043-9dd20af342c9 · inbound

From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices cites this paper.

From LLMs to Edge: Parameter-Efficient Fine-Tuning on Edge Devices SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T10:41:43.301828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de5547c-a77f-48b1-95cd-09fde13b5681 · 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 SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T20:29:47.635564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a3b1ac-e751-4ed4-9151-d7baf9ebfce0 · 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 SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T20:06:12.818243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd15108-e843-4f0c-be74-7a5c5de2d713 · inbound

Understanding Communication Backends in Cross-Silo Federated Learning cites this paper.

Understanding Communication Backends in Cross-Silo Federated Learning SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:16:08.493237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 194ec42c-d7d2-4162-b4d4-1f657411c7bd · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:16:27.672431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d7b9f298-0f38-45bd-8fbc-17d62038b1c2 · inbound

Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.

Concordia: Self-Improving Synthetic Tables for Federated LLMs SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:23:47.924548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03edae3f-2347-4073-b456-778545cac364 · inbound

FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation cites this paper.

FedSmoothLoRA: Toward Smoother and Faster Convergence in Federated Low-Rank Adaptation SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:13:15.209822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 07ed499d-4fde-49d8-93f3-886397d0467e · inbound

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

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:16:58.684524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75b7b282-63be-4910-b29f-dadd01d4d4ac · 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 SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:51.440361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.