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Paper Citation Record · LEDGER

Improving LoRA in Privacy-preserving Federated Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:20:45.803548Z

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 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

Resolution
unresolved
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=sha256:40e9efca2eb9e7bf09f58265fd044f3ad7074d347d055aa09aa32315d23a1e30

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:54:38.393967Z digest=sha256:51f5b69a57eec10336e514d706f21d359ef2a76f1deaf12ec7b328e16b32fd46

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:46.239849Z digest=sha256:5645c321cdd62f391c662ab8a792f1fcafba2af54b111ea711c29e9bcf71ea28

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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no resolver link, observed 2026-08-07T12:20:46.403337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:46.403337Z digest=sha256:d46795a9d41d7cc332e67431866a46ec66dbdc110020241e6334dd59d1220247

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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no resolver link, observed 2026-08-06T17:53:48.229512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:53:48.229512Z digest=sha256:53966c4294ed165596f06ec352ea9322e2534d742fe25cdad3a173cf85a819e6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:38:49.370808Z digest=sha256:65072c18721006bbf842259f60637993c34b1be9925e3e835c337099a7b053fd

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T21:58:12.430340Z digest=sha256:f992589fea5fdfac2177e834939e563d64597f82a47cde9fceca556c2b3120f3

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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no resolver link, observed 2026-08-04T13:31:03.641942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:31:03.641942Z digest=sha256:8a8d2c2136ca88fb9b04dbad835d781c01d6f43ebd8c83d994ed63da41a4d771

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:29:50.603105Z digest=sha256:1b9b51273c3f0fbe6deb2cdfdfbd6e85e55a129351520be29696301cb6a892b1

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:45:44.405069Z digest=sha256:533ec306d6975e9490c8e418e5a49abeabef0166a8fa3f0a62279b24e1ee16e6

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

Resolution
unresolved
no resolver link, observed 2026-08-02T20:06:13.859708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:06:13.859708Z digest=sha256:81239d51278e4e92ff093faf8ad08883a157c5b06ee0ae320d7b5b1b7313f67c

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:26:17.264779Z digest=sha256:715f372b913607c8cefb1bdaab79d7544b74dc29195e17beb512670c9d85b5f2

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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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:22:40.613937Z digest=sha256:144d310c8a1a0baebb21b688494bb5b3542ff1d53f01628a1f4bf0899133f03b

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T21:48:48.992712Z digest=sha256:fb1dce97e29c71fa2273ad9a77e5233a388db7ebcb497d58d2f23bad77dd0bef

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T14:50:12.857642Z digest=sha256:c93e50bc911de9a68a5a65e77ee77629e0315aaa24ea017cec3697d3e0510d6b

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T08:08:47.402298Z digest=sha256:d0f75afc3a8c32634d4abc9730b166cd45f276438ecfd87b2dda48c109b2bb94

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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verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:89aa2e5e604250254ff220df0b84c864ec9f981e2a4c79d9a5b41017e6dcdc9d

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

Resolution
metadata mismatch
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T01:27:04.241484Z digest=sha256:a8f4ba5aeaa1e06b7b8d1980ebb6c049d77fbf194905e1842ababd1b81820d57

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

Resolution
verified exact
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:50:03.055481Z digest=sha256:4af8aac6fbd35bd056caaa1ef0518ecc653f5a96731eef506819d2d78cc3b493

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T06:37:44.328625Z digest=sha256:85d4043cdbd11113b7093551fd41aa84d632381fd98da46d0a3efd32ca7b2cf1

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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no resolver link, observed 2026-08-02T06:42:17.098363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:42:17.098363Z digest=sha256:b79307dfaaa7aaead72fe246f7741d51b838bc1d3acc36568c1c4f8a5f73f36a

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=sha256:8ebf23fb4988492f0a3c1e4a71d7028adb748342fa1970fd4f775ee28df930d0

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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no resolver link, observed 2026-08-02T09:01:50.820923Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:01:50.820923Z digest=sha256:6b3c231219c6ffa802aa36c154ca92a8994f32c59c5af6db59dc6c7aea7abe4f

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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no resolver link, observed 2026-08-05T22:13:23.592645Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:13:23.592645Z digest=sha256:b3c9c016d47cd952189bcbbd894795605d0a5b12e54d55442b0a9a050337e0ea