Paper Citation Record · LEDGER

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.09844.

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

pith.paper-citation-record.v1
2509.09844 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:40:58.612666Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7e70fb12-6a6a-4215-8874-003e6a7966be · outbound

This paper cites Generating highly realistic images of skin lesions with GANs,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Generating highly realistic images of skin lesions with GANs,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.549624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4060832a-9c96-4ffe-9527-e0a524676893 · outbound

This paper cites Ros-net: A deep convolutional neural network for automatic identification of rosacea lesions,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Ros-net: A deep convolutional neural network for automatic identification of rosacea lesions,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.554995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 039510a7-3b64-45a6-a139-7aa625d6b5de · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Dermatologist-level classification of skin cancer with deep neural networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.559654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ceba88-1f46-4d55-94be-99fdbeb467d7 · outbound

This paper cites Differential diagnosis of rosacea using machine learning and dermoscopy,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Differential diagnosis of rosacea using machine learning and dermoscopy,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.564227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee3ed76-bc0a-46a6-8fe7-f1268140fa26 · outbound

This paper cites Generative adversarial networks,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Generative adversarial networks,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.568759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 163b2679-cb7f-4743-b146-ac5886a0bd00 · outbound

This paper cites Multi-label chest X-ray image classification via category-wise residual attention learning,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Multi-label chest X-ray image classification via category-wise residual attention learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.573434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aeb88b0-2148-484b-97c3-7b819c0f0c1e · outbound

This paper cites Deep residual learning for image recognition,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Deep residual learning for image recognition,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.578502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c5db85-0c2e-4854-97f2-ad3d2b5ab5a3 · outbound

This paper cites A style-based generator architecture for generative adversarial networks,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection A style-based generator architecture for generative adversarial networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.583060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f877386a-328b-45b6-8530-8a1887ce429d · outbound

This paper cites Deep learning face attributes in the wild,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Deep learning face attributes in the wild,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.587158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483592cc-e894-4001-afb4-256669bbc940 · outbound

This paper cites Towards synthetic generation of clinical rosacea images with GAN models,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Towards synthetic generation of clinical rosacea images with GAN models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.591451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f71ce1c-835f-47d5-8d27-80c10ad6e4d4 · outbound

This paper cites The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.595533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ab0149-c1f2-42b5-bd40-3d42d2c17be0 · outbound

This paper cites Zoom-in- net: Deep mining lesions for diabetic retinopathy detection,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Zoom-in- net: Deep mining lesions for diabetic retinopathy detection,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.599634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7b0d518-c5e9-4a1d-809e-1e8da755be3c · outbound

This paper cites Increasing rosacea awareness among population using deep learning and statistical approaches,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Increasing rosacea awareness among population using deep learning and statistical approaches,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.603849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36ac7dc9-e981-48ce-98c3-d529dbc561fc · outbound

This paper cites Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection Interpretable Automatic Rosacea Detection with Whitened Cosine Similarity

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.608017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4917c696-cd9a-4db1-8dcc-a5f68cabfe13 · outbound

This paper cites A study of face obfuscation in ImageNet,.

Privacy-Preserving Automated Rosacea Detection Based on Medically Inspired Region of Interest Selection A study of face obfuscation in ImageNet,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T18:40:58.612666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.