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Paper Citation Record · LEDGER

Improving the Robustness of Deep Neural Networks via Stability Training

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1604.04326.

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

pith.paper-citation-record.v1
1604.04326 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 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T10:58:48.515002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T10:58:48.567005Z

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 fbb68828-b053-4462-bb71-0596f006e510 · inbound

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima cites this paper.

On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima Improving the Robustness of Deep Neural Networks via Stability Training

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:57:50.473780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T10:58:48.515002Z digest=sha256:a3e5232d8740eeaaf9731d06b41833d5dce9b6a0f4a174f1ca91a692b39c583d