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Paper Citation Record · LEDGER

Improving LoRA in Privacy-preserving Federated Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2403.12313.

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

pith.paper-citation-record.v1
2403.12313 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:12:57.536855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.944122Z

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 7edae3d2-c2e6-4907-a19e-1fc9014fada8 · inbound

Split Fine-Tuning for Large Language Models in Wireless Networks cites this paper.

Split Fine-Tuning for Large Language Models in Wireless Networks Improving LoRA in Privacy-preserving Federated Learning

Reference 33

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no resolver link, observed 2026-08-10T20:12:57.536855Z

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source=pdf_text observed=2026-08-10T20:12:57.536855Z digest=sha256:3afcec76172c39a3bc2a0777d3762cc2df651697ef74495bc78e77b769d0fafa

Observation 662b9071-095b-47a7-9f30-5b499db0017b · inbound

SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network cites this paper.

SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network Improving LoRA in Privacy-preserving Federated Learning

Reference 21

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no resolver link, observed 2026-08-10T16:18:36.267155Z

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source=pdf_text observed=2026-08-10T16:18:36.267155Z digest=sha256:064fca5aad2a61343a387911ef83a5594507b496121199347d9c411de84e375c

Observation 2d4e400a-45a5-4e0e-9885-2dd8353c68d0 · inbound

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models cites this paper.

Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models Improving LoRA in Privacy-preserving Federated Learning

Reference 43

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no resolver link, observed 2026-08-10T15:35:30.636528Z

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source=arxiv_source observed=2026-08-10T15:35:30.636528Z digest=sha256:8fd4d991e69b9a93e1e93c86ad606499412f57e3a8c66221e802e3be2f649acd

Observation 11fa83cd-1f74-428f-a42e-5a0a638dacbf · inbound

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

Decentralized Low-Rank Fine-Tuning of Large Language Models Improving LoRA in Privacy-preserving Federated Learning

Reference 24

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no resolver link, observed 2026-08-10T14:26:48.001154Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:26:48.001154Z digest=sha256:6659d4a0eee8ad7a76fb1c1a0f8b3ea3057df395c6834d839e4c1e2bb432441b

Observation dce24a14-6981-4bd2-a5af-f53fa36b350a · 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 Improving LoRA in Privacy-preserving Federated Learning

Reference 38

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no resolver link, observed 2026-08-09T20:20:45.803548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:20:45.803548Z digest=sha256:6ede62fd1f3d27854fa60b6259d3a6fbd168d91138dd9b9c62d7b1a6efecad1c

Observation aad7f318-e963-446e-ab34-b30c33d4d71c · inbound

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning cites this paper.

Task-agnostic Low-rank Residual Adaptation for Efficient Federated Continual Fine-Tuning Improving LoRA in Privacy-preserving Federated Learning

Reference 14

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verified exact
arxiv_id, observed 2026-05-22T13:54:52.979661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T13:54:38.393967Z digest=sha256:2f9c8e5543f138fec14f8a2610ec7ba930a22f839ebad3cc1675fd94fca55fe9

Observation cd4f1f19-9f84-43b6-916a-7537a4fc842a · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models Improving LoRA in Privacy-preserving Federated Learning

Reference 14

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no resolver link, observed 2026-08-07T13:42:46.239849Z

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source=pdf_text observed=2026-08-07T13:42:46.239849Z digest=sha256:d1e975be3ab21236a41a84bdd1182a834e01e27cf4d32174d318ff8baa11884a

Observation 92e1ba78-aca2-4050-96d2-212c1c6e74e4 · 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 Improving LoRA in Privacy-preserving Federated Learning

Reference 17

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source=pdf_text observed=2026-08-07T12:20:46.403337Z digest=sha256:b3d855b9fdf9389299fd786f30f8b0a9ac09b2452beb8147822682507e9771b9

Observation 798eea59-8197-4795-b68a-9056a0f6456c · inbound

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

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix Improving LoRA in Privacy-preserving Federated Learning

Reference 31

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source=pdf_text observed=2026-08-06T17:53:48.229512Z digest=sha256:2f416cc228f6cd7b7816b144bd030b84b451b9199961e92f7d91014736706b4e

Observation 12f1e12d-0084-4053-8f23-4e4765d0f3f2 · inbound

An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data cites this paper.

An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data Improving LoRA in Privacy-preserving Federated Learning

Reference 17

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no resolver link, observed 2026-08-05T05:38:49.370808Z

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source=pdf_text observed=2026-08-05T05:38:49.370808Z digest=sha256:2dcfe9f9118e820863bb2445a275d2f36832dc3415821a5508494fbaaed10565

Observation 25cc88b9-8a0e-4cb4-bbed-35776017e89d · inbound

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints cites this paper.

FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints Improving LoRA in Privacy-preserving Federated Learning

Reference 34

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arxiv_id, observed 2026-05-21T22:00:41.453627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-21T21:58:12.430340Z digest=sha256:5f217e11d8c43e11d5de0d6d809a6a107a31aed8ae5f293923ef3979105e9ba7

Observation 698325b9-6deb-43ea-8a43-ad4849f0bff1 · inbound

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation cites this paper.

Train Large, Deploy Compact: Structured Compression for Compact Low-Rank Adaptation Improving LoRA in Privacy-preserving Federated Learning

Reference 64

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:31:03.641942Z digest=sha256:e18bf1f7e606fa672bfc1d38deb2aa9c8a29ccceaf7ae7041c877e8d02fe3b96

Observation 9dd77519-44bf-4d68-9846-5cb96801f1cd · 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 Improving LoRA in Privacy-preserving Federated Learning

Reference 35

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no resolver link, observed 2026-08-03T20:29:50.603105Z

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source=pdf_text observed=2026-08-03T20:29:50.603105Z digest=sha256:4b190c05f08608de244c64cbfb26f073affa56c44d404abeb488a57ff852edcd

Observation acaf47a4-7a2c-46ed-90dc-2001aaf25466 · inbound

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search cites this paper.

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search Improving LoRA in Privacy-preserving Federated Learning

Reference 30

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no resolver link, observed 2026-08-03T09:45:44.405069Z

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source=pdf_text observed=2026-08-03T09:45:44.405069Z digest=sha256:71cb698ecf4e07f26991fd744e162dcb2c2919433c728e9f19b5af63f6e2d735

Observation fa163e0f-87f3-4d82-ac37-66d07056fa2e · 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 Improving LoRA in Privacy-preserving Federated Learning

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:06:13.859708Z digest=sha256:0ff070b0472db884be8d6f06579c6a0d1fa8ddcedbba5ecb2530eebde64c7b57

Observation 34c01ee8-ebd7-4783-b331-eca97d938007 · inbound

Task-Centric Personalized Federated Fine-Tuning of Language Models cites this paper.

Task-Centric Personalized Federated Fine-Tuning of Language Models Improving LoRA in Privacy-preserving Federated Learning

Reference 5

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verified exact
arxiv_id, observed 2026-05-14T21:27:59.640143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T21:26:17.264779Z digest=sha256:656fe25f82bb5d001b9b492e1e42c2925e5e963b3989de84964655599e03bf00

Observation 9101db02-d1b3-4fe4-8bf6-1153c0f9a40e · inbound

FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization cites this paper.

FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization Improving LoRA in Privacy-preserving Federated Learning

Reference 7

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arxiv_id, observed 2026-05-11T06:56:02.051345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:22:40.613937Z digest=sha256:1d2a3adeca30c9baeaa61a6522361bf176c0ff5e5dde278a82b2de07bdcf4136

Observation 7d6479cb-602f-471e-b89d-35904df6cd5a · inbound

Low-Rank Adaptation Redux for Large Models cites this paper.

Low-Rank Adaptation Redux for Large Models Improving LoRA in Privacy-preserving Federated Learning

Reference 181

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arxiv_id, observed 2026-05-11T14:26:03.878986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T21:48:48.992712Z digest=sha256:8fbc56b7acc323631126697a6d9ca6dc186b452a9ef10e72b6f2f4b187f9041d

Observation f72a9033-868c-4403-9b17-663c4bb78bb0 · inbound

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

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning Improving LoRA in Privacy-preserving Federated Learning

Reference 14

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arxiv_id, observed 2026-05-11T18:41:09.335154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T14:50:12.857642Z digest=sha256:50d257226ae2c2d69091fe30e472d5f77711012ba20fc2229888488be7eaf12d

Observation 3cc0bcde-859b-4635-af3b-d0236a81498e · 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 Improving LoRA in Privacy-preserving Federated Learning

Reference 34

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arxiv_id, observed 2026-06-29T08:13:15.250089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T08:08:47.402298Z digest=sha256:bc94a1e2c526ffd4bddcc04d3d1046122eb6a07f830b48ef032a8bd413929d99

Observation 351c9f23-fac3-46dc-8fb0-73729b9f0a54 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Improving LoRA in Privacy-preserving Federated Learning

Reference 215

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arxiv_id, observed 2026-06-28T18:42:29.180156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:839d9f34f5ae73613effce99a5e88f814ff1f40c7de4b6945f80dfc8701757e6

Observation e07d668a-ee29-4272-9849-f18f744ab919 · inbound

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

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models Improving LoRA in Privacy-preserving Federated Learning

Reference 30

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arxiv_id, observed 2026-07-02T13:16:58.658797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T01:27:04.241484Z digest=sha256:3cdbca2626cf5cc245c5cdf73482b658a6c16c9e4bafb9fe247beedf34f7ec95

Observation 0bc5454a-9174-49ac-8970-d01ce7dc2871 · 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 Improving LoRA in Privacy-preserving Federated Learning

Reference 7

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arxiv_id, observed 2026-07-02T21:17:24.947863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T19:50:03.055481Z digest=sha256:a3269ce95ca55a0d192cd8faf0ff5ee7d6a12bee2275258d2a2dcf18f618165a

Observation 30b809b8-69c3-4f85-9fb6-bfdec4fb4474 · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Improving LoRA in Privacy-preserving Federated Learning

Reference 21

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metadata mismatch
arxiv_id, observed 2026-07-01T09:25:40.767815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T06:37:44.328625Z digest=sha256:c61dbe0889ef0e57cb22719b28fe368dc3bfc708ac43f04bd58c9d20d08115c5

Observation 4798fc88-828b-416f-ae75-d69c30355b48 · inbound

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models cites this paper.

Efficient and Privacy Aware Edge Cloud Collaborative Inference for Large Language Models Improving LoRA in Privacy-preserving Federated Learning

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:42:17.098363Z digest=sha256:33298b6f02adaf120901a4acd28a573fcc65a54cfe9a5ad14d2f7d1958261137

Observation bd14b956-db28-4700-8059-4b7e8f484d05 · inbound

Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning cites this paper.

Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning Improving LoRA in Privacy-preserving Federated Learning

Reference 41

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no resolver link, observed 2026-08-02T02:23:30.310961Z

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source=pdf_text observed=2026-08-02T02:23:30.310961Z digest=sha256:25c362bafa99291a942882a686748ed8507bc62c43f39b7f40b69430211ed47f

Observation 470f24ab-c669-40e3-abe4-e67cc94272ae · 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 Improving LoRA in Privacy-preserving Federated Learning

Reference 70

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source=arxiv_source observed=2026-08-02T09:01:50.820923Z digest=sha256:8fbe0b0e8a99f4816ab821c708cbc596f69ab33dbabf3301f592ee8d739619c9

Observation d6704cce-9c10-4f14-8774-67de6e89c09e · inbound

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA cites this paper.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Improving LoRA in Privacy-preserving Federated Learning

Reference 10

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source=pdf_text observed=2026-08-05T22:13:23.592645Z digest=sha256:a255777ce4daeb9d66f48301a6d588e67890b8b0ad9172cd80c9cb19127e6cf4