Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.13099.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:55:20.832421Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T23:46:09.853394Z
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 2d2904ad-74bc-40de-a063-e022dfabe760 · inbound
Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification cites this paper.
Self-Supervised Learning in Deep Networks: A Pathway to Robust Few-Shot Classification Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:53:45.925394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbb3894c-c761-48dc-84f6-c42b8990f027 · inbound
A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation cites this paper.
A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:55:20.832421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4e513ad-e6f2-4e45-8a76-ec29526045f1 · inbound
Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction cites this paper.
Adaptive Cache Management for Complex Storage Systems Using CNN-LSTM-Based Spatiotemporal Prediction Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:55:18.010791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6209d80-9121-4ce2-81d0-d021b5fe3940 · inbound
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction cites this paper.
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T23:46:09.857731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.