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Paper Citation Record · LEDGER

AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.01811.

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

pith.paper-citation-record.v1
2503.01811 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:07:32.454803Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:39:48.155427Z

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 08a58d6f-cfef-4f3a-9d2e-5227acd86895 · inbound

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing cites this paper.

Auto-ART: Structured Literature Synthesis and Automated Adversarial Robustness Testing AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:39:48.157486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T00:39:43.196010Z digest=sha256:f2db013b0d30c824fe5ac0a9f95396c50f76fbda31050539c1e22f509be1b4a1

Observation 6324c058-f995-42fe-b8b6-2a1b1d0eb78a · inbound

Engineering Trustworthy Agentic AI for Critical Systems cites this paper.

Engineering Trustworthy Agentic AI for Critical Systems AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-01T15:07:32.454803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:07:32.454803Z digest=sha256:a4ed8a1a47b9d41af411da3f125e0c9d622ec4bd0a0740ebf488540033c8704d