Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.12187.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T12:45:22.434941Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T11:46:56.559852Z
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 f09bba74-f2d8-49b9-bdb7-ce3ae7fb6245 · inbound
ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction cites this paper.
ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:45:22.434941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eb36b8d-8c0a-4aba-86cf-dcc3e0f0557b · inbound
SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images cites this paper.
SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:46:56.570432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.