Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.09844.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:31:43.140140Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:15:18.705647Z
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 9d2ce34d-811b-4584-bceb-01cc3ec6ccf6 · inbound
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation cites this paper.
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:31:43.140140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ce0a46a-f246-49b5-8b15-3ab9c510bcb5 · inbound
Understanding Adversarial Training with Energy-based Models cites this paper.
Understanding Adversarial Training with Energy-based Models Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:12:59.672324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57136f77-88a8-4ef1-80eb-f5a0bff34629 · inbound
Dynamic Sparse Training of Diagonally Sparse Networks cites this paper.
Dynamic Sparse Training of Diagonally Sparse Networks Sparsity Winning Twice: Better Robust Generalization from More Efficient Training
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:15:18.709283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.