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Paper Citation Record · LEDGER

Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2103.01914.

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

pith.paper-citation-record.v1
2103.01914 v2

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 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:13:00.930617Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:13:02.533835Z

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 41a057b5-d254-4099-b731-3461a6e22089 · inbound

Understanding Adversarial Training with Energy-based Models cites this paper.

Understanding Adversarial Training with Energy-based Models Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:13:02.639233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:13:00.930617Z digest=sha256:6c4b99040deea02cd6828064b01efe46cd4732b279220c62c35281792f7ec27a