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Paper Citation Record · LEDGER

Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1905.13074.

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

pith.paper-citation-record.v1
1905.13074 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:02:13.610802Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-12T15:02:13.684734Z

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 ff761314-7568-430d-bdd1-880f78652264 · inbound

Analytic Continuation by Feature Learning cites this paper.

Analytic Continuation by Feature Learning Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:02:13.691158Z

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.

source=pdf_text observed=2026-08-12T15:02:13.610802Z digest=sha256:d36fd94262e39390961c5adf2b2d829c821921676bf5c47347e22e75240a3e28