Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.08503.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:38:49.400448Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:38:53.861112Z
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 42018d8d-b1fc-40eb-9255-d8da56b3b0b3 · inbound
TRIX- Trading Adversarial Fairness via Mixed Adversarial Training cites this paper.
TRIX- Trading Adversarial Fairness via Mixed Adversarial Training Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:38:53.965954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 95a02da9-5826-46b3-bd6c-9789673d6571 · inbound
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws cites this paper.
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:14:15.496080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.