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Paper Citation Record · LEDGER

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2509.08780.

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

pith.paper-citation-record.v1
2509.08780 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:14:17.871008Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

49 of 49 outbound references displayed

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  • verified fuzzy0
  • unresolved45
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 6cb175a2-1e36-41e3-b02b-7863d9992dcb · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 1

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Observation 55340855-0f48-4b43-ac00-cb8a3aa49d13 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 2

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Observation 4312e18d-b06f-43a2-9d1a-538bf1ad169d · outbound

This paper cites Urban, S.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Urban, S

Reference 3

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Observation 88980ec2-a9f4-40b4-b6c5-92ca99c877fe · outbound

This paper cites Podgorski, M.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Podgorski, M

Reference 4

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Observation fb665f4f-647e-4166-833e-2bd339cb8488 · outbound

This paper cites URLhttps://www.who.int/news-room/fact-sheets/detail/ arsenic.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images URLhttps://www.who.int/news-room/fact-sheets/detail/ arsenic

Reference 5

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Observation 362f231c-64b9-4bdd-9e66-5727d1484e10 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 6

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Observation a232c93b-4b5c-4b64-a2b6-1bd9e253b833 · outbound

This paper cites int/news-room/fact-sheets/detail/arsenic, accessed: 2025-09-06 (2022).

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images int/news-room/fact-sheets/detail/arsenic, accessed: 2025-09-06 (2022)

Reference 7

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Observation 4fa3077e-b590-4de7-b70d-e45ea2cd8d34 · outbound

This paper cites Khatun, Association between serum periostin levels and the severity of arsenic-induced skin lesions, PLoS One (2023).

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Khatun, Association between serum periostin levels and the severity of arsenic-induced skin lesions, PLoS One (2023)

Reference 8

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Observation b47a7a80-de4c-4bd3-9d8f-eb4f3122a176 · outbound

This paper cites Shajil, G.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Shajil, G

Reference 9

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Observation 0e1aea29-2da0-4715-8332-78530febf945 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 10

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Observation 5a07e7ff-50d4-4d0c-92b8-65c155b20ff7 · outbound

This paper cites Vahter, Health effects of early life exposure to arsenic, Basic & Clinical Pharmacology & Toxicology 102 (2) (2008) 204–211.doi: 10.1111/j.1742-7843.2007.00168.x.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Vahter, Health effects of early life exposure to arsenic, Basic & Clinical Pharmacology & Toxicology 102 (2) (2008) 204–211.doi: 10.1111/j.1742-7843.2007.00168.x

Reference 11

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Observation a7e7336e-ae8e-49e9-ba2c-8f6d89932311 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 12

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Observation 0f201d4a-289c-4d2d-a3e5-5aceb315bccf · outbound

This paper cites Esteva, A.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Esteva, A

Reference 13

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Observation 4d5dbcda-664f-4de7-bfd1-198336b56436 · outbound

This paper cites Newaz, S.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Newaz, S

Reference 14

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Observation da7e249b-d62d-48bf-8547-cceb59ebc9ea · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 15

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Observation 2cfd1dc3-3190-49af-aaa0-46cd0f4ab0ba · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 16

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Observation ec98d0c1-3bc5-434e-a14f-1d9e83dc399c · outbound

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

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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Observation 69f610a5-f94b-48a6-8509-db72673aa01a · outbound

This paper cites Rotemberg, N.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Rotemberg, N

Reference 18

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Observation 133de6ce-816d-48a3-b58c-c24f20f3528d · outbound

This paper cites Tschandl, C.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Tschandl, C

Reference 19

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Observation bc9348b9-8b7f-4c09-8691-447a96c75829 · outbound

This paper cites Choudhary, J.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Choudhary, J

Reference 20

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Observation 2259abf6-b1ea-4286-b865-c9a2a2569a22 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 21

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Observation 6ecc5cfb-08a1-4301-9be4-6e0d199b588f · outbound

This paper cites why should i trust you?.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images why should i trust you?

Reference 22

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Observation a6284c5b-7a59-447e-8d87-c12df095ee6f · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 23

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Observation 391a2ebb-d737-4c24-9be4-2e0e7e382f34 · outbound

This paper cites Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology

Reference 24

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Observation 7aec66ff-35ec-4306-a52e-def6c09e30f4 · outbound

This paper cites Esteva, B.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Esteva, B

Reference 25

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Observation 82bd0323-fd55-445f-bf60-1ab4ac175ae5 · outbound

This paper cites Arora, A.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Arora, A

Reference 26

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Observation 2f9356bf-b326-4ecd-ad25-d59009fe9344 · outbound

This paper cites Rafay, W.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Rafay, W

Reference 27

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Observation 016b2b7f-13c6-423a-87ba-dd3aae9c478d · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 28

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Observation 08434a75-17ec-4b1e-b2a0-fadff4e387d9 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 29

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Observation 88c79187-9ec4-48d3-a128-f1c7970f6488 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 30

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Observation 99f3a41a-e8a1-4d22-ae88-c97deea60ac5 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 31

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Observation 55f0e33f-22b2-4f4d-99f3-d536f33869d6 · outbound

This paper cites Young, G.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Young, G

Reference 32

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 33

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Observation 70fdd54b-30ae-4a29-8dbe-8e4ad89a9fb5 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 34

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Observation 36e7609b-06e1-4a39-82ed-bfbe54f23f52 · outbound

This paper cites Szegedy, V.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Szegedy, V

Reference 35

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Observation 0f4af0da-c8dd-43d7-9780-231e29cf8fe7 · outbound

This paper cites Chollet, Xception: Deep learning with depthwise separable convolu- tions, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, pp.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Chollet, Xception: Deep learning with depthwise separable convolu- tions, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2017, pp

Reference 36

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Observation 29140c63-4bbc-46c1-998b-92a53a146f19 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 37

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Observation 18d23dc3-7c18-4493-b8bb-103360b8b2ca · outbound

This paper cites Howard, M.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Howard, M

Reference 38

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Observation 78daf54c-ca66-4f3f-ac01-dfef3ea18c22 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 39

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Observation 21e5a862-aede-4bb1-8695-cef83d891da9 · outbound

This paper cites Newaz, A.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Newaz, A

Reference 40

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Observation 5dc32af3-b1ef-4dcf-94ef-8da6a8f2048e · outbound

This paper cites Suara, A.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Suara, A

Reference 41

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Observation 62ca7dd3-6dcd-4498-9016-8b33f3370b7b · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 42

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Observation 590e94a3-1a57-4406-be3b-88c253108a04 · outbound

This paper cites iCost: A Novel Instance-Complexity-Based Cost-Sensitive Learning Framework.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images iCost: A Novel Instance-Complexity-Based Cost-Sensitive Learning Framework

Reference 43

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source=pdf_text observed=2026-08-04T20:14:17.634456Z digest=sha256:089c9e107d1319b1aeb327e3d1da73703663f74a301c612f2a02eafecf2bfd49

Observation 72435086-1a3f-4b4f-a618-0043299a6ccb · outbound

This paper cites Halimu, A.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Halimu, A

Reference 44

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Observation 9b52ba42-f5a3-48ed-adb2-c48cfc8723b9 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-04T20:14:17.733469Z digest=sha256:0163536a61f268606129d4d30f1395ab9c5a02585d631c1772101be7907bba76

Observation a58b32c7-3616-4092-b7d0-48101ccc4b8f · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-04T20:14:17.765977Z digest=sha256:1a8451e5cbaba70c5588b8103b114313c4eda8436d52fad90740d3d4edecd4e9

Observation bbeb7b3c-0c55-4bb1-95ee-2a2b1659d801 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-04T20:14:17.791341Z digest=sha256:37a359e61f8b8606eb1bd6dfd5c0047a2cbd833ed6fff24bb29c0e74c51611bf

Observation 4ec22513-7ac6-4b53-8197-afede25495b4 · outbound

This paper cites Frid-Adar, E.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Frid-Adar, E

Reference 48

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source=pdf_text observed=2026-08-04T20:14:17.824755Z digest=sha256:da069f1975bb36c856ceff087c5fe40bdce9f8d1239aa5061d5a0531d9ef301c

Observation 3b1b7f60-41d3-4d31-8bf9-7f6776d9a214 · outbound

This paper cites an unresolved cited work.

An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images Unresolved cited work

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T20:14:17.871008Z digest=sha256:ae325049931500d28efbcd97827d237986fec937ba569787e5867438d54a0f7c

Pith citing papers

No inbound Pith citation observations are available.