Paper Citation Record · LEDGER

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.21074.

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

pith.paper-citation-record.v1
2607.21074 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:38:31.472369Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec860c12-03da-4181-8a4d-95d1e7c00dbc · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers An image is worth 16x16 words: Transformers for image recognition at scale

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:28.834920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f125565e-2608-4a05-b2b0-bff916200260 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Learning transferable visual models from natural language supervision

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:28.924826Z

Source-reported events for the cited work

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Observation be75d79f-b6a6-4f61-a21c-b34e9d33093b · outbound

This paper cites Dinov2: Learning robust visual features without supervision.TMLR, 2024.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Dinov2: Learning robust visual features without supervision.TMLR, 2024

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.054746Z

Source-reported events for the cited work

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Observation 73397116-bf33-4528-863e-c31b6ee20c6c · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Parameter-efficient transfer learning for nlp

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.116501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5301611b-6a50-423e-8310-0c8a9dadf1d9 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.248290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed7c7cc-25bc-41a4-868c-b5d41b3735f2 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Communication-efficient learning of deep networks from decentralized data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.364748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db6b3a9-2cb4-4978-992b-d53f8dbad03f · outbound

This paper cites Federated optimization in heterogeneous networks.MLSys, 2:429–450, 2020.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Federated optimization in heterogeneous networks.MLSys, 2:429–450, 2020

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.421252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6476e56f-67a1-43ed-baae-5a14a3500490 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Scaffold: Stochastic controlled averaging for federated learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.534441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7462d839-cca7-47dc-8536-48bef1928086 · outbound

This paper cites Model-contrastive federated learning.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Model-contrastive federated learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.677438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec4b3f7-9100-4867-93a3-4f8760a1fc25 · outbound

This paper cites Federated learning based on dynamic regularization.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Federated learning based on dynamic regularization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.816318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 449fd285-e7d8-4876-b619-67c5d8183a92 · outbound

This paper cites Heterogeneous lora for federated fine-tuning of on-device foundation models.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Heterogeneous lora for federated fine-tuning of on-device foundation models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:29.932649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37289da6-3445-4b04-90a0-96c20b0d4412 · outbound

This paper cites Federated learning with buffered asynchronous aggregation.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Federated learning with buffered asynchronous aggregation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.012966Z

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Unavailable: canonical work link unavailable.

Observation f8f31b26-bbf4-43c4-99fb-b49de5a29a72 · outbound

This paper cites Heterofl: Computation and communication efficient federated learning for heterogeneous clients.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Heterofl: Computation and communication efficient federated learning for heterogeneous clients

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.081175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8e5e9cd-4996-41c0-9548-f212c428874b · outbound

This paper cites Towards building the federatedgpt: Federated instruction tuning.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Towards building the federatedgpt: Federated instruction tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.159263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69d4704c-8968-4641-8d30-75aefcc9a9d4 · outbound

This paper cites Improving lora in privacy-preserving federated learning.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Improving lora in privacy-preserving federated learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.284744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c40c2b91-5654-43f9-8804-210ea0cb8ce7 · outbound

This paper cites Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.424741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37afa640-fb74-4086-b0f9-f5924aa6529f · outbound

This paper cites Federated fine-tuning of large language models under heterogeneous tasks and client resources.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Federated fine-tuning of large language models under heterogeneous tasks and client resources

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.518643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ab38f2-3a36-43cb-a0db-114da5e99825 · outbound

This paper cites FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers FLoRIST: Singular Value Thresholding for Efficient and Accurate Federated Fine-Tuning of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.594411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97d360a3-3308-4aae-be7f-79f605d196b3 · outbound

This paper cites Lora-fair: Federated lora fine-tuning with aggregation and initialization refinement.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Lora-fair: Federated lora fine-tuning with aggregation and initialization refinement

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.689797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56367f4-fbb1-4e0b-b8a7-19fb407a445d · outbound

This paper cites Screenot: Exact mse-optimal singular value thresholding in correlated noise.Annals of Statistics, 2023.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Screenot: Exact mse-optimal singular value thresholding in correlated noise.Annals of Statistics, 2023

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.764984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2cb1361-6a3d-4f6e-b410-7d9159755884 · outbound

This paper cites Golub and Charles F.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Golub and Charles F

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.854281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e77d2958-6157-4704-a548-5a77af9d45f2 · outbound

This paper cites On the distribution of the largest eigenvalue in principal components analysis.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers On the distribution of the largest eigenvalue in principal components analysis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:30.959323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32687a6e-78b7-4e7d-a918-2b9724b57a9e · outbound

This paper cites Pytorch image models.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Pytorch image models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:31.083840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1710422e-a866-4aa4-ab5b-38ca786d54aa · outbound

This paper cites Moment matching for multi-source domain adaptation.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Moment matching for multi-source domain adaptation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:31.209510Z

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Unavailable: canonical work link unavailable.

Observation 1f69bbff-bf48-46fb-9527-a50a1cb14acc · outbound

This paper cites Towards non-iid image classification: A dataset and baselines.Pattern Recognition, 110:107383, 2021.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Towards non-iid image classification: A dataset and baselines.Pattern Recognition, 110:107383, 2021

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:31.345994Z

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Unavailable: canonical work link unavailable.

Observation 73c3a835-ac70-4c63-bc7d-b8a3b6ec6cf0 · outbound

This paper cites Federated learning on non-iid data silos: An experimental study.

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers Federated learning on non-iid data silos: An experimental study

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:31.472369Z

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Pith citing papers

No inbound Pith citation observations are available.