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Paper Citation Record · LEDGER

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1703.03702.

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

pith.paper-citation-record.v1
1703.03702 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:57:26.871318Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:57:26.987974Z

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 634b6505-e232-4319-a659-bbbb3d61c498 · inbound

Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents cites this paper.

Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:57:26.993544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T14:57:26.871318Z digest=sha256:e64c4866299ef0f271a9ab26665fa1eb520dd298b78c9f21e0c3bd881eb87ec2

Observation ffab0478-8fa6-48d7-93e4-c429f6f7d980 · inbound

LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models cites this paper.

LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T11:13:47.539864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:13:47.539864Z digest=sha256:38af61a34f65d71282aa53c404ed1a5691701ad578a6582016edb0eff234e41a