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Paper Citation Record · LEDGER

Sparsity Winning Twice: Better Robust Generalization from More Efficient Training

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.09844.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2202.09844 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:59.672324Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-07T13:12:59.672324Z digest=sha256:e5f6d3e42467bc6920200d75226ab1f31f8761ea0864128c63400ffd1f8b7482

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T04:15:12.355089Z digest=sha256:6cd9c97c4813595057689806d6d3d3232b1a8debfd7cdcf9ba2e46982ee21323