Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Patchnet: Interpretable Neural Networks for Image Classification
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1705.08078.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:35.454752Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T14:54:22.224077Z
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 b022a37a-98e1-4ffc-836b-8820fcaf2fc1 · inbound
Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI cites this paper.
Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI Patchnet: Interpretable Neural Networks for Image Classification
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T14:54:22.231441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 505ae1ac-5a89-4c46-bf47-07540c40b7d6 · inbound
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification cites this paper.
An approach based on class activation maps for investigating the effects of data augmentation on neural networks for image classification Patchnet: Interpretable Neural Networks for Image Classification
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:35:35.454752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.