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Paper Citation Record · LEDGER

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types

As of 21 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2501.05991.

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

pith.paper-citation-record.v1
2501.05991 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:11.960298Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:30:09.432572Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-15T16:30:09.520776Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact7
  • verified fuzzy26
  • unresolved24
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06b87c44-229c-417e-bd19-ec00d7b998a3 · outbound

This paper cites Accessed on 18 May 2024.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 18 May 2024

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e67768a6-6a91-4cc0-8919-79b83110cfe5 · outbound

This paper cites Accessed on 18 July 2023.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 18 July 2023

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c8af5cea-9421-46c6-82d3-2c833197ce11 · outbound

This paper cites Accessed on 18 May 2023.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 18 May 2023

Reference 3

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4c650f51-0ea6-47a8-8120-a86a05af532d · outbound

This paper cites Choudhary, J.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Choudhary, J

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.735751Z digest=sha256:1c39b9e63a649b2d0709c77fd50ec6e8c60e8d0fafe344c813d427ed7e458450

Observation 57f3df2c-125b-4816-aac2-38c56fd44dfd · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8712a6f4-5cef-451b-aef4-25a37317c635 · outbound

This paper cites Accessed on 18 May 2023.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 18 May 2023

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.743945Z digest=sha256:ec08a97fd4b4332aa66414d03453a1186f1386f686e7f7555314637c07cd081d

Observation c1b8cfd2-0428-4cd2-a215-c0e6fc71b182 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 7

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.748497Z digest=sha256:5fe776101ae40d1ce23155b3d14cee6b8665c79dd413fdadfc0485d02c6b979c

Observation 5a40612b-bcac-4027-85fb-3d3a8333f53d · outbound

This paper cites Arora, A.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Arora, A

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.752206Z digest=sha256:f141771b2d1e7f17788192155aa5fd8e991a53617bf3790801d838127b1aadd4

Observation 0b688f77-6e7a-4da4-8eb0-6452135a823d · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.755892Z digest=sha256:bf34a70bf4315a981de9d70494c82ff0c642ba528969730934eaac606ccfcc12

Observation f229e670-0fc5-473d-91ca-d4b104ccd415 · outbound

This paper cites Rafay, W.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Rafay, W

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d2beb646-1d91-4b1e-a090-12213eec7bb8 · outbound

This paper cites Accessed on 24 May 2024.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 24 May 2024

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7b0e43be-b9c7-45bd-9ecc-aaca43424631 · outbound

This paper cites Accessed on 18 May 2024.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 18 May 2024

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cfcab72a-3706-4f16-b356-299541ebfa55 · outbound

This paper cites Accessed on 18 May 2024.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 18 May 2024

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.770991Z digest=sha256:425fa32303397fc289eb75ac5769ce760403252537de494e52168c00d5777c16

Observation 1ee7c833-0e50-4549-be76-f477d4dab29e · outbound

This paper cites Accessed on 24 May 2024.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 24 May 2024

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.775306Z digest=sha256:3d974e5e99e512282b5d4c0a0257ce7640f9ad13f31dddd5e133838777eeb041

Observation faed957b-0d1c-4bcc-bf25-a351936c6b06 · outbound

This paper cites Prasanna Kumar, K.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Prasanna Kumar, K

Reference 15

Resolution
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no resolver link, observed 2026-08-10T21:09:11.779752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.779752Z digest=sha256:4cc613c66902e6c35603e1104cfc03e3f4c5fe96d8cec044262fadeb091cc7f1

Observation 0d543064-5955-4d2e-8096-3e163a2c441f · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:13.261355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.784154Z digest=sha256:0c6dbcdb429428383226d5d005d3c96531f64b15a8bd7069e0026f2e3529d5f3

Observation e0463b5d-e5b4-46fe-9b51-c8fbdd99183f · outbound

This paper cites Choudhary, J.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Choudhary, J

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.788684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.788684Z digest=sha256:87a8d8ec6fb60c8ecd06bd92a1522906c65d9d755cde77d3ad673c07dde8a706

Observation 9926e4ce-4bb5-4a76-9efa-a00ebb0a10ca · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.792436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.792436Z digest=sha256:362adf06af918725250cfe0ea09e26fb2e26d876fda06df9d4e2b24f12f70c25

Observation 7dd5d239-bd95-41bf-ae46-161abdc2401a · outbound

This paper cites Young, G.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Young, G

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 555fcb4a-f1b2-49d6-a22c-c512d85b617b · outbound

This paper cites Tschandl, C.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Tschandl, C

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.800578Z digest=sha256:41fa41ad368d7b5300662bea62a30ba7324c92aefc6af1ec27df67c98efece49

Observation 202fcb41-8908-4762-b111-94c4a87a69dc · outbound

This paper cites Chowdhury, A.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Chowdhury, A

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.804585Z digest=sha256:8a3e9ade8326ece8322a1948fa33801f71aeb0f75fb0364e0db06bb61fcb6a8d

Observation a97e62c5-14b3-428d-96e1-42874f9be527 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:13.197973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.808797Z digest=sha256:85b9a262c993727a0174010c42d702ec1fe3d38f42e142bdef7a989bdf1f9d96

Observation 13e8a283-9702-457d-8eae-0034e48ac007 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 23

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.812639Z digest=sha256:163bd679dee10afa359ffae3609cd127651731d3fd38e70efa80e5b43868f4e1

Observation 248f572a-e34b-455b-a5c5-1957fe8d36a6 · outbound

This paper cites Ayas, Multiclass skin lesion classification in dermoscopic images using swin transformer model, Neural Computing and Applications 35 (2023) 6713–6722.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Ayas, Multiclass skin lesion classification in dermoscopic images using swin transformer model, Neural Computing and Applications 35 (2023) 6713–6722

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.181395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.817064Z digest=sha256:2ba94898d736a3342059efba9995f682f51b86f1afecc168f0c2e6266f9ca6b9

Observation 22a4c258-e355-4b9f-9dda-1b4be80cf88c · outbound

This paper cites BCN20000: Dermoscopic Lesions in the Wild.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types BCN20000: Dermoscopic Lesions in the Wild

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.821616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.821616Z digest=sha256:79633d1b8e3f312eb705715aef5db678a0b5233e442b71560f97ee0e51f900fb

Observation f683c0b4-5bdc-4f98-a964-7be10b75050e · outbound

This paper cites Desale, P.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Desale, P

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.166356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 220736e9-438f-4779-b85f-84ecae5c8029 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:13.151009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5c4cce2b-339b-4126-bef0-15962109db3f · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.834252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.834252Z digest=sha256:7f317fede0e0b6d4e160dcc6f0e45e78567293e9d3a5857fff80cddc7f6fd4a2

Observation 2349b28e-ae6c-4ded-b682-abbc1221ef03 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:13.134154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 05b0d649-81e0-4653-8567-9dceb35a9b31 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:13.117850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b4e5387a-9ffb-4bfa-a657-1cd02b27168c · outbound

This paper cites Nakai, Y .-W.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Nakai, Y .-W

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.101936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.847741Z digest=sha256:d3adac549ea571ecf5add28f2cf6542ed7a845ea4b7c0af7c92d219b0c3c2ebd

Observation e9c695dc-fab4-45ff-a094-6d080944e2f4 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 32

Resolution
verified exact
doi, observed 2026-08-10T21:09:12.058038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c9206c34-5baf-4ee0-833f-a19136f9f796 · outbound

This paper cites Mendonc ¸a, M.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Mendonc ¸a, M

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.077531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.855888Z digest=sha256:818658b2ca7cd3b6f1245d79ea7706a614cc086aee1772ee042c3f0a7fdb73a8

Observation 87c2d015-4958-4352-81a6-5eed6e787302 · outbound

This paper cites Rezaee, H.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Rezaee, H

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.063490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.860053Z digest=sha256:dbc503d370560332f49171f28d2e21e30a7aac8adc95560812e8e565af0e4f4d

Observation 05f1a05b-a5cf-4199-a53c-17f893bb5aa4 · outbound

This paper cites Ahmad, J.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Ahmad, J

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.051313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.863850Z digest=sha256:03d2649dc044d23d1055222a8faec3d90a2a9dc0c37340d1e06e04a3377845da

Observation 36a4d64a-029f-4c91-9e61-70df32e47f46 · outbound

This paper cites Rotemberg, N.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Rotemberg, N

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.036656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.868190Z digest=sha256:e38f95d6271eabd3355f326e5024c2df0e673300bd333cba3216630ee01fde3f

Observation 7aaf7549-4efd-4242-919f-cf97597253ef · outbound

This paper cites Nagadevi, K.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Nagadevi, K

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:13.023484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 83f6bcea-ee6a-45c7-a2e3-7a01cdb6b7c3 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:13.009153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f5e491af-840d-439c-9a6c-72e12149571c · outbound

This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.880038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.880038Z digest=sha256:fab33f716857d7e28f5e8ddd208b1d0969a7f90edb3be5b15a5863c7239a47cb

Observation a97743d7-3849-45d6-b0d3-702bc05e8f44 · outbound

This paper cites Accessed on 24 May 2024.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 24 May 2024

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:12.995519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.885084Z digest=sha256:4e0278c9970db46adb0ceb79c3cdcebae9565d4ae7f19be860ab9d573e126a47

Observation a9dc8683-de08-4190-ac0c-03f823463798 · outbound

This paper cites Sadik, A.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Sadik, A

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.889503Z digest=sha256:92e45ae9b8eeaafe97058162ca5fa77a1e850b50280204de6e534c386b3dea13

Observation 9a176bcf-ec1a-42a7-b4f0-ad40c9178652 · outbound

This paper cites Accessed on 24 May 2024.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 24 May 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:12.967840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.893775Z digest=sha256:5c8fbdb48782f2c455b2ae1f55464b8462642ba493ccf57b0d13b5256795aed6

Observation fed480e9-0c1b-4592-a41e-7d7843707dea · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:12.953460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.897954Z digest=sha256:573dc74fa3a3109c5700e9c05ccebee310cfa57811bbbd75a7c9d82af4d7d2c3

Observation 7f4eb87c-76c9-4173-832f-24650e92723c · outbound

This paper cites Accessed on 18 May 2023.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Accessed on 18 May 2023

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:12.939439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.902814Z digest=sha256:19f0c879450f3b3fb8948ec9ea8633f590623646dc8c885ea0d04d7b74daf4df

Observation 11f833d8-1b48-4144-8a43-927a6823ec20 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:12.925175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.906970Z digest=sha256:86c2acfe3bb8d08ac0ce6e6fc0a9021e51b4b7b8d580f8c623755e1a68fd198e

Observation e8e49ca0-4b78-4e59-b361-6196aa813edb · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:09:12.911412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.910528Z digest=sha256:fc487ba7676377a51973df8c7c22a7d6323be3753466fe8c3dd7801899e37ab4

Observation 89c36f04-04da-4648-b306-6484d709eb5d · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 47

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.914034Z digest=sha256:c18f0eaa491057a2433186bbd4a52a28141e0f35f395fe586eb0accff829a528

Observation 07bc2396-a557-4526-9e1d-c840c36c2e3a · outbound

This paper cites van Hooij, E.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types van Hooij, E

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:09:12.897425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.918402Z digest=sha256:13704999c3084299a60a167b2fd6b7dc648fb065c7b62c779038dd0860668c00

Observation c3eec915-1a12-48bb-82dc-ef7f33eaf795 · outbound

This paper cites Alshahrani, M.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Alshahrani, M

Reference 49

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.922217Z digest=sha256:2710b15d149188b0483314d27322a46c220c7d7bfe7d65202d1c7f8d6eb8bbe8

Observation 3cffb324-fff0-4913-879b-5a8b3039abff · outbound

This paper cites Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:09:12.487528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.926091Z digest=sha256:cef7ec8895feacb2cb2d2baae78f97304705cb182216cf7407128e4563789811

Observation 207069c5-d170-43cf-bde3-0a116f520045 · outbound

This paper cites Yunusa, S.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Yunusa, S

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.930336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.930336Z digest=sha256:c8d3c695365a08ba87e6992e520b94a303d6c94c1c11509d6b69eac01260940c

Observation ba99f4ce-c7f7-40ee-9c69-d9d42e13cf04 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.935245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.935245Z digest=sha256:e922f1ed539f84971738269f54119abf9db5eb98f569388417b0bf9c9b9f6469

Observation 709ddff3-ef39-4edb-85af-eb844ee18bdd · outbound

This paper cites A Multimodal Vision Foundation Model for Clinical Dermatology.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types A Multimodal Vision Foundation Model for Clinical Dermatology

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.939549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.939549Z digest=sha256:27fdd62fa12e7ec748bb41a5a3f8cd906b7aa413a35bc768237ac002e7085337

Observation 3a9a42b3-9b6a-40a2-a46e-5b4c1bd51e88 · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.944894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.944894Z digest=sha256:542fd2298581080ca30f2c436ec800a86dfdb4de3189a7c572101719fe2c70f9

Observation ab6631a5-6c01-4ce6-ba3d-05255778ad8d · outbound

This paper cites an unresolved cited work.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.948872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.948872Z digest=sha256:4badb9eefbd14e6aeed951b537a827192ee074ff1401f3d4e8a938ef396fe3c6

Observation 95396f09-b616-47b4-9cd5-ba651638844d · outbound

This paper cites Ghnemat, S.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Ghnemat, S

Reference 56

Resolution
verified exact
doi, observed 2026-08-10T21:09:12.021663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.952216Z digest=sha256:213fcfb2b2a4442429daa28c433b6a38a82fd03e1c6cca1580901a1d419e48ee

Observation 05ecd078-3dc6-46c9-b6f1-40e1a0c54a12 · outbound

This paper cites Tmamna, E.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Tmamna, E

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T21:09:11.956593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:09:11.956593Z digest=sha256:907f504f92cc4420c0dd1459228bc8af367a0e4a3e29a93f9f1908f0de18d2b4

Observation 06f0f732-7e46-4435-8e70-882d3a34fef0 · outbound

This paper cites Mishra, H.

An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types Mishra, H

Reference 58

Resolution
verified exact
doi, observed 2026-08-10T21:09:11.996105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:09:11.960298Z digest=sha256:2b35314c55715fda3ad2fec730f695e76d5d7682b8e9b7c69a469d954173b259

Pith citing papers

Observation 15d60a0f-1332-4709-925b-79c1d0248091 · inbound

Toward Accessible Dermatology: Skin Lesion Classification Using Deep Learning Models on Mobile-Acquired Images cites this paper.

Toward Accessible Dermatology: Skin Lesion Classification Using Deep Learning Models on Mobile-Acquired Images An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T16:30:09.526741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T16:30:09.432572Z digest=sha256:92ef85cc685ad49e7c8e0bcb5230905d95795a35f739870b427f72287e7a5cd4