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Paper Citation Record · LEDGER

Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.08051.

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

pith.paper-citation-record.v1
1910.08051 v1

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 2026-08-04T10:41:57.607988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:53:29.835098Z

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 e55e5909-9f9a-4105-af8a-44c99558ee17 · inbound

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training cites this paper.

Improving Clean Accuracy via a Tangent-Space Perspective on Adversarial Training Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:53:29.838517Z

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=pdf_text observed=2026-05-23T21:50:40.105297Z digest=sha256:8492fbee34427eff29c241fb4ed6f867d89a2ff49e67c8bc840022b302bf22a1

Observation ab49ac8e-36dc-43b1-ad5a-2749e54434c9 · inbound

A unifying Bayesian framework for adversarial robustness cites this paper.

A unifying Bayesian framework for adversarial robustness Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T10:41:57.607988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:41:57.607988Z digest=sha256:5d6114c1a39d5978d89f670a1a72f421ac489b0ee957916a71a5bbf3cc6355f0