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Paper Citation Record · LEDGER

Politics of Adversarial Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.05648.

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

pith.paper-citation-record.v1
2002.05648 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:14:29.166414Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:44:08.759110Z

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 b074261a-c430-4ca9-a972-619d31bc21ea · inbound

Statistical Collusion by Collectives on Learning Platforms cites this paper.

Statistical Collusion by Collectives on Learning Platforms Politics of Adversarial Machine Learning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T21:14:29.166414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:14:29.166414Z digest=sha256:450264ec8d022a920d4d5b89523044217b6c75dde00497d3b8c77cbe72f0a738

Observation 9e5ba5bc-00f2-4b18-bcb7-249cb781e569 · inbound

Position: Certified Robustness Does Not (Yet) Imply Model Security cites this paper.

Position: Certified Robustness Does Not (Yet) Imply Model Security Politics of Adversarial Machine Learning

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:44:08.882415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T00:43:54.430300Z digest=sha256:53a9e12d285f3f1a60d73ff26087d905505df8fde50ee70b1af9803a2e6f525e