Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transfer learning with class-weighted and focal loss function for automatic skin cancer classification
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.05977.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T00:30:20.387714Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T12:34:11.789258Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation c7d4ac07-d9d4-4b20-821f-af38a4088c70 · inbound
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification cites this paper.
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.
Observation e01ddc7f-1dc3-44ae-b77e-c3e3e4113008 · inbound
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation cites this paper.
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation Transfer learning with class-weighted and focal loss function for automatic skin cancer classification
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T12:34:11.796430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.