Pith. sign in

Paper Citation Record · LEDGER

SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models

As of 8 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 2026-08-08T06:32:00.761636+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.

source=pdf_text observed=2026-08-07T14:17:54.591185Z digest=sha256:7efadc8a2dc0b8d27baafb0a8cbd337b35eb846ef34bec0ab1bc161d5df63412

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.

source=pdf_text observed=2026-08-07T12:20:46.142862Z digest=sha256:61ca37897b5b3856daaa705617f2b6bf801eecac5aa70eddf844013a1122d4b6

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.

source=pdf_text observed=2026-08-07T12:05:54.647098Z digest=sha256:0ae1eae53452987fb84fd146651e599c95386f59ea2aa1df1dca55df09b4c3ad

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.

source=pdf_text observed=2026-08-07T11:57:24.919860Z digest=sha256:6039e7b1db238a3985b955bdebfe3bceb0efc35fdd62b82e009d1b899e7b9afb

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.

source=pdf_text observed=2026-08-07T01:03:36.794523Z digest=sha256:9b29c0d2dbd99d9b2962e4e1adcb2b8db1058d88c9961d263ffab416a45be4ba

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.

source=pdf_text observed=2026-08-06T18:48:49.930462Z digest=sha256:0aa13e22eef429ffa3dc14430daa005f6731d9d5016b467d4e33e42b05a7dff4

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.

source=pdf_text observed=2026-08-06T17:53:43.290392Z digest=sha256:e50ec437ff56e856b6575434853e7de031497ef9f10f9fa31c37c8f84635d0e5

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.

source=pdf_text observed=2026-08-06T15:11:16.023095Z digest=sha256:06653b7622a1b5db89f101ca126678aac5754491fedf7a24d2c6f59b6f1a2345

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.

source=pdf_text observed=2026-08-06T10:41:43.301828Z digest=sha256:bc112ec0dcc164322d8f2417a7f02c610feb4282777856c8196876f468aa0e7e

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.

source=pdf_text observed=2026-08-03T20:29:47.635564Z digest=sha256:1d4e966248cec991174fc1efdf6c1a4e36ed1a11b019796ad6d0aa65946a9069

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.

source=pdf_text observed=2026-08-02T20:06:12.818243Z digest=sha256:12c931d5d3b48005e2deb3dfd9ce375dcaa5fbc96cd4471295c06507259a34e6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T15:03:32.069261Z digest=sha256:39c8568f41da78498930f04ae279bd3e1d8e50ca818c330f8a338ba0a087bbbb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:26:50.410397Z digest=sha256:76ad599ef38826df6f0f9b2ca79c73470f0e29bd7e963b28b5772f0a2cfec653

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T22:21:03.637418Z digest=sha256:ac8ad2129aecd5b276b1881da07ac9cc3e114ecceb9626c0f45a636e08b5ff89

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T08:08:47.402298Z digest=sha256:12e4f0ff9b1d566a5acdb41fd4efc1822232803b8d5f3f7e52587bcf8e5429b8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T01:27:04.241484Z digest=sha256:5c7b772afa278c59eac315a58f43430b7edee24c5315353103137d431803a358

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.

source=arxiv_source observed=2026-08-02T09:01:51.440361Z digest=sha256:01c591534019fc0a22c809b5ab10d805921ad51642262fad69482fc34a636162