Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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

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.

source=pdf_text observed=2026-08-06T17:00:06.359174Z digest=sha256:125fc6163cef2a9e40217cb27ad32cd1ae9ecb523e32bf46228856fb5893bc88

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.

source=pdf_text observed=2026-08-06T17:00:06.519431Z digest=sha256:c7f9046b05f81b6cc41bcb34a5ef1957e40ebc8024afc705fa39f4aa65c3f70d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:06.580973Z digest=sha256:3c56ee3a2adf4dd26cf1afe97558268868b96f514f965137d8c58ece5e25dfd0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:06.723328Z digest=sha256:41da4f57f8d2394fbdcf87728c1802560cf36234679c5fbdeb88fa359aeb0e67

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:06.801348Z digest=sha256:514eba68101b3ab606ffe5b74c63cf03c9e1f4ae94453503646218173d979d48

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:06.863227Z digest=sha256:58512e835bf03445e370724248dcba5ba56df9e6301adb1357019cc8344364ae

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:06.942228Z digest=sha256:2d73971c63fb0d7637e06a52c0e71d28b1b970c7f0817625386468c065ad2908

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:07.031191Z digest=sha256:b47b82093bb81bbdbc1faa85bb14c31369472698a672cb3b663fb3c3a5ebb805

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:07.099657Z digest=sha256:4725d7b847b28492f15365a670f2b712d334b5b3a4930967b4755e4450e9aa82

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:07.162092Z digest=sha256:8731f879708606467a641eee8ed31fb0a04d9f326a404932067308456d2cc49c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T17:00:07.248665Z digest=sha256:77170b64e0e4ea6d3bb19de120bcdcb9989b735345128c5b7604457bf0a0a338

Pith citing papers

No inbound Pith citation observations are available.