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Paper Citation Record · LEDGER

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 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 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:59:30.560291Z

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

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c3a04e88-ec91-4586-8f8e-8d7b80bbb73e · inbound

Federated Continual Learning for Edge-AI: A Comprehensive Survey cites this paper.

Federated Continual Learning for Edge-AI: A Comprehensive Survey SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 166

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no resolver link, observed 2026-08-12T15:59:30.560291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:59:30.560291Z digest=sha256:b6098228b0c6b9c231afe76531b8589e61311c3954c7e1616a0a109f299c23f1

Observation 7289a125-b125-4a14-ad78-ede933f400b2 · inbound

HeteroTune: Efficient Federated Learning for Large Heterogeneous Models cites this paper.

HeteroTune: Efficient Federated Learning for Large Heterogeneous Models SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 2

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no resolver link, observed 2026-08-12T13:29:09.147721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:29:09.147721Z digest=sha256:f831157bcbdd15a05b992ef4c17b798d000398843060ae7f0db211c89f9bdbdc

Observation 954dc0b7-9727-4ff5-97c8-fc042d3dee23 · inbound

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

Decentralized Low-Rank Fine-Tuning of Large Language Models SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 18

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no resolver link, observed 2026-08-10T14:26:47.951941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:47.951941Z digest=sha256:5a7c2fa9d3fe609b75116982a10104f2481c2b7046fc89c9aca9bde8ff452085

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:54.591185Z digest=sha256:c8db2bab0815441ac044c0aebe13ca6ac296ec39c46a19cfd267c4d958add131

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:46.142862Z digest=sha256:1ce8d3dcfc5e843d0900487e2c059b33e27d15612eaf03070449009f6a2b53e9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:54.647098Z digest=sha256:3f9ba52842903f88f370bfa9c49492469eda13f74cec236ac637fd6fdc4b2ca2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:24.919860Z digest=sha256:22434514b1d5165f191578dd96abc7db6441975ab8ce793dba7d9ba388f0adf0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:36.794523Z digest=sha256:3d4e540120bdff2d47cb8649fd5927cd9ba65e4d204fa75a01ac04dab5a5e4f2

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:48:49.930462Z digest=sha256:3ca34a52bf6afa8708136461db76a5f705ad1ff3a561d36467e2c5d5105b87e9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:53:43.290392Z digest=sha256:611c7c3c1a36ef73080afd2fa44a2030f9d85137e69ac684df7957929f719f80

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:11:16.023095Z digest=sha256:7aa8ef096c98986219f23cd7411a60a216c3975e3d7086c5f28af351558dd414

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:41:43.301828Z digest=sha256:12931b0f819efaa028691987288c8237ca96ac49c9c5eaacb16c13015421c14c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:29:47.635564Z digest=sha256:0374b14dc438553d11261041dede86cabc52f76cb7a3b04954c06c49de9d020d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:06:12.818243Z digest=sha256:ca212cb89504e86839b93fc058b7d92905b117d552cf38f235de16a7b9c71cf2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:03:32.069261Z digest=sha256:c3bb8ecce5f9911c1e3c88d7e49b2cbff4cd0e2a88bc8171077f148aa09322ef

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T04:26:50.410397Z digest=sha256:fafa688c10a1924fa2aa478f53b817f78d7898f79230eeb4d0c4feb8117894b4

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T22:21:03.637418Z digest=sha256:8d683608756d993e28cb21ed176c187588aa71dc2ac757c189fb470b56e4ff44

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

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T08:08:47.402298Z digest=sha256:0688e9ad3162740ea32996bb8e6feee778174b1aa560d2fe82c55c0d75860bc6

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
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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T01:27:04.241484Z digest=sha256:34ebc8d500300fb69185b779355a2193fccdfaaf917d8f1d09516f6fdac1fe64

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:01:51.440361Z digest=sha256:1f20bb10d5c86c19f27ea1c880ce611c2606dcf0bd94ec8aa46b8da1927cd729

Observation 8bc60040-de93-48fb-8228-5095ffb6f7c3 · inbound

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes cites this paper.

Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

Reference 9

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no resolver link, observed 2026-08-12T00:13:13.373946Z

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source=arxiv_source observed=2026-08-12T00:13:13.373946Z digest=sha256:7818f3bd0392260b43c582c90aa95c21ac1e7bd1454fe30e5fe0a39f262d4400