Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Adversarial Robustness of Ensembles with Diversity Training
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1901.09981.
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 2026-08-11T20:46:57.347353Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:27:47.866741Z
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 c912392c-b3c6-4864-b546-ca79718ddddb · inbound
Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data cites this paper.
Multi-Armed Bandit Approach for Optimizing Training on Synthetic Data Improving Adversarial Robustness of Ensembles with Diversity Training
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:46:57.347353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12cf5c06-83d8-4f65-8b39-c3c0e6f4eb5a · inbound
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation cites this paper.
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic Segmentation Improving Adversarial Robustness of Ensembles with Diversity Training
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:51:09.738105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 095eaf16-9be1-45ec-a2ed-1f8a7e2d5bbc · inbound
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss cites this paper.
Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss Improving Adversarial Robustness of Ensembles with Diversity Training
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:49:51.235837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7c10f41-6e4b-43d3-b12b-b8fd1eec84c3 · inbound
Learning from Peers: Collaborative Ensemble Adversarial Training cites this paper.
Learning from Peers: Collaborative Ensemble Adversarial Training Improving Adversarial Robustness of Ensembles with Diversity Training
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T15:27:47.873138Z
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.