Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2006.00387.
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 2026-08-15T22:32:02.470023Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T13:10:30.457184Z
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 345913de-8a2d-423b-aa7e-d6e6a29c9abb · inbound
Copula Analysis of Risk: A Multivariate Risk Analysis for VaR and CoVaR using Copulas and DCC-GARCH cites this paper.
Copula Analysis of Risk: A Multivariate Risk Analysis for VaR and CoVaR using Copulas and DCC-GARCH Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:32:02.470023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc6cc512-ecfb-479b-9b5c-727120f94286 · inbound
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation cites this paper.
Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation Exploring Model Robustness with Adaptive Networks and Improved Adversarial Training
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:10:30.558547Z
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.