Paper Citation Record · LEDGER

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2507.11943.

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

pith.paper-citation-record.v1
2507.11943 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:07.248665Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact0
verified fuzzy9
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d91b406-5da0-4861-a886-7677b368e664 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:06.359174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a0f0962-f014-4f62-9884-a5065176707f · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Vision-language models for vision tasks: A survey,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:06.429887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac8fa8c0-157d-4cec-8837-d66d5b273700 · outbound

This paper cites Toward Transformer-Based Object Detection.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Toward Transformer-Based Object Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:06.519431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef57e44f-df98-4b9f-91cc-1b63ccbea7ef · outbound

This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:08.990551Z

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.

Observation 9c9e2f77-7bfc-4c17-b142-f2155771ccdc · outbound

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

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T17:00:06.662424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5e00cd4-800c-4a74-a065-c83fca192c33 · outbound

This paper cites Melo: Low-rank adaptation is better than fine-tuning for medical image diagnosis,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Melo: Low-rank adaptation is better than fine-tuning for medical image diagnosis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:08.790021Z

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.

Observation 7d968c71-2d71-46da-9f72-afd358a2b963 · outbound

This paper cites An overview of compressible and learnable image transformation with secret key and its applications,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification An overview of compressible and learnable image transformation with secret key and its applications,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:08.656853Z

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.

Observation 4f26d0ae-0304-4856-aea0-e578ca60f839 · outbound

This paper cites Grayscale-based block scrambling image encryption for social network- ing services,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Grayscale-based block scrambling image encryption for social network- ing services,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:08.401383Z

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.

Observation 78fbbe2f-db0c-465f-acff-7b6fba7f9cef · outbound

This paper cites Privacy-preserving content-based image retrieval using compressible encrypted images,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Privacy-preserving content-based image retrieval using compressible encrypted images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:08.204443Z

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.

Observation f53c251e-0577-4383-a4e1-0183f1ef48f1 · outbound

This paper cites A protection method of trained cnn model with a secret key from unauthorized access,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification A protection method of trained cnn model with a secret key from unauthorized access,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:07.996197Z

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.

Observation 2efe996a-4f44-41ce-b41d-bd5c45e8b48f · outbound

This paper cites Encryption inspired adversarial defense for visual classification,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Encryption inspired adversarial defense for visual classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:07.831871Z

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.

Observation 7871c795-3aca-4d72-b4df-ecebb6c1b596 · outbound

This paper cites A random ensemble of encrypted vision transformers for adversarially robust defense,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification A random ensemble of encrypted vision transformers for adversarially robust defense,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:07.683615Z

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.

Observation 266121ba-0196-45e4-81cb-9bc5d439a979 · outbound

This paper cites Domain adaptation for efficiently fine-tuning vision transformer with encrypted images,.

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification Domain adaptation for efficiently fine-tuning vision transformer with encrypted images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:00:07.489677Z

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.

Pith citing papers

No inbound Pith citation observations are available.