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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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.

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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.

source=pdf_text observed=2026-08-06T17:00:06.429887Z digest=sha256:baa50b672a3a35606dada7f941d0db07c53451170f55cfef3a1a092386d29606

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.

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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:06.580973Z digest=sha256:59836e4305ef64161aacc87e64ca2237e46c72615ee858ef0295670c321e4621

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.

source=pdf_text observed=2026-08-06T17:00:06.662424Z digest=sha256:0e43c55a5d7aebfb175d5fccc58cf668d704e5210f9d3be584b2dd099cbcd4bd

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:06.723328Z digest=sha256:bc8c1005d651b6ef107e8cfffa278883a99cf400369f24893a517255525c53f5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:06.801348Z digest=sha256:9f3ba6fe1d22396d6e06d1a22f69c0655c0f0db83fc1c447c68decc7e79661eb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:06.863227Z digest=sha256:91721eb1f77c6dbeb158b79ba3da91d8862fcf48dd6c67dbc2b60c22bbbe088a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:06.942228Z digest=sha256:263c7f97bbd5446e6009207967e24f873e1652121d0491ccf11bf64e8596947b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:07.031191Z digest=sha256:25032a74eaa727e4c64d7d165b9018f39a8195f2d647d055dbaf08ae290a6a7d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:07.099657Z digest=sha256:1829961b7426c079ddecca36e4a7463d5c7239facdf7be0d7cc9605be700825f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:07.162092Z digest=sha256:9af104245bd67382138a4266f9cf0971f5d0f4f0a008fee75c35d23b7f812747

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:00:07.248665Z digest=sha256:e4b105aecc6586147da45ba145e982e7840329ab16777e8ae740fc4ca4d4b245

Pith citing papers

No inbound Pith citation observations are available.