Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.19747.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T16:59:10.638625Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T16:59:12.281657Z
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 0566d741-fbcb-46b6-a8e0-1952b7f9c5f1 · inbound
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks cites this paper.
Learning to Transmit: Volatility-Aware Predictive Communication for Energy-Efficient IoT Networks Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:21:52.006097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 560e8a2e-44dc-4470-a3d9-6adbcdc5c858 · inbound
Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI cites this paper.
Grad-CAM for Vision Transformers: A Systematic Taxonomy and Audit of Methodological Ambiguity in Explainable AI Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T16:59:12.286699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.