Paper Citation Record · LEDGER

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.03267.

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

pith.paper-citation-record.v1
2608.03267 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:13:24.303927Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy4
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85e0f85b-3703-4aea-9977-daeefc63a2f9 · outbound

This paper cites Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T22:13:25.422152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b514e329-1e47-422c-93db-d75c9e3df520 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:23.396171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Improving LoRA in Privacy-preserving Federated Learning.

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

Reference 10

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 505b8f04-86c8-41f2-bf51-1c6f7123cdb6 · outbound

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

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:23.797672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c62d819-08f5-4bfd-a5b7-ed18ddce4eba · outbound

This paper cites InProceedings of the 2018 conference oftheNorthAmericanchapteroftheassociationforcompu- tationallinguistics:humanlanguagetechnologies,volume1 (long papers), 1112–1122.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA InProceedings of the 2018 conference oftheNorthAmericanchapteroftheassociationforcompu- tationallinguistics:humanlanguagetechnologies,volume1 (long papers), 1112–1122

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:13:26.095682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 01d3d070-fe10-4c08-b4e2-350c0bcfb1c0 · outbound

This paper cites FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA FedRot-LoRA: Mitigating Rotational Misalignment in Federated LoRA

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T22:13:24.594500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 51eca0e1-dbb4-4286-a1b1-d54140587bcb · outbound

This paper cites InICASSP2024- 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6915–6919.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA InICASSP2024- 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6915–6919

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:13:25.724268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f3712e0-f285-49e4-9789-cb387310c046 · outbound

This paper cites Improvedgradientinversionattacksand defenses in federated learning.IEEE Transactions on Big Data, 10(6): 839–850.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Improvedgradientinversionattacksand defenses in federated learning.IEEE Transactions on Big Data, 10(6): 839–850

Reference 353

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:13:26.747777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2abda72c-8cba-4699-a111-89db2d676d7e · outbound

This paper cites Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:22.472461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb69e8c-c705-481e-bbe1-7556962ec35f · outbound

This paper cites In Proceedings of the 2018 EMNLP workshop BlackboxNLP: Analyzing and interpreting neural networks for NLP, 353–.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA In Proceedings of the 2018 EMNLP workshop BlackboxNLP: Analyzing and interpreting neural networks for NLP, 353–

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T22:13:26.400421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ad0a69d-5cb8-4b32-beee-b8ada9fe186d · outbound

This paper cites Natural Language Understanding with the Quora Question Pairs Dataset.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Natural Language Understanding with the Quora Question Pairs Dataset

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:23.470869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4735b14d-1f48-4e5f-86a5-c2c7daa64805 · outbound

This paper cites Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:23.277382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35475997-d8fb-4a38-9e7e-83aab7ffb098 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:22.718087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6705901-a782-4028-9e0a-b277001e747a · outbound

This paper cites arXiv preprint arXiv:2505.12805.

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA arXiv preprint arXiv:2505.12805

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T22:13:23.094472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50adbc9c-c09e-4249-b442-52844f4049dc · outbound

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

FedGSA: Geometry-Consistent Subspace Aggregation for Differentially Private Federated LoRA Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning

Reference 2026

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T22:13:25.078247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.