Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T00:30:20.387714Z
Paper Citation Record · LEDGER
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
As of 13 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2501.18161.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
8 of 8 outbound references displayed
- verified exact0
- verified fuzzy5
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ee679cbf-ac27-4127-9505-fd6bf08c765e · outbound
This paper cites According to this viewpoint, pre-processing is necessary for precise analysis.
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification According to this viewpoint, pre-processing is necessary for precise analysis
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:30:20.476222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation acfdc096-37b7-4c84-9a6d-54f465ce322b · outbound
This paper cites Section 4 details the materials and procedures.
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification Section 4 details the materials and procedures
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:30:20.485636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation f9284383-65b3-43a1-bea6-ca512eb4b02f · outbound
This paper cites Therefore, all of this noise and artifacting should be eliminated during the pre-processing processes.
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification Therefore, all of this noise and artifacting should be eliminated during the pre-processing processes
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:30:20.466651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0a010837-f6b0-4936-8003-abadc37c4b3e · outbound
This paper cites Page 5 of 18.
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:30:20.457106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 01f3e75d-af3c-435e-9c70-1a78becdc369 · outbound
This paper cites an unresolved cited work.
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T00:30:20.447669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5b13337b-02ec-4b5d-bc9c-b057d433783e · outbound
This paper cites an unresolved cited work.
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T00:30:20.437911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 62e27ebf-950e-449e-bbb2-3bf703c449bf · outbound
This paper cites 4 PROPOSED METHODOLOGY In this part, we outline the subsequent phases and our methodology's flowchart, which is seen in Fig.
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification 4 PROPOSED METHODOLOGY In this part, we outline the subsequent phases and our methodology's flowchart, which is seen in Fig
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T00:30:20.427695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c7d4ac07-d9d4-4b20-821f-af38a4088c70 · outbound
This paper cites Transfer learning with class-weighted and focal loss function for automatic skin cancer classification.
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification Transfer learning with class-weighted and focal loss function for automatic skin cancer classification
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:30:20.387714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.