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Paper Citation Record · LEDGER

AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:58:10.266241Z

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 70d21de1-fd68-4fa5-8e07-287548435e96 · inbound

LLMs unlock new paths to monetizing exploits cites this paper.

LLMs unlock new paths to monetizing exploits AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:10.266241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:10.266241Z digest=sha256:30081f733fca5980ab3a80e70290d2063b630be7353b56e9522feac012075a93

Observation 24625837-5955-4a37-a26f-c90c28372f39 · inbound

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models cites this paper.

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T19:53:32.995201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:53:32.995201Z digest=sha256:192d788efa31cbc54f07f60f5332acea893f1ba7f98c6fc707e2169b955c4b7d

Observation 65c86e73-a71e-4016-9aec-da3a4cf46ef8 · inbound

Running in CIRCLE? A Simple Benchmark for LLM Code Interpreter Security cites this paper.

Running in CIRCLE? A Simple Benchmark for LLM Code Interpreter Security AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:25:15.766936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:25:15.766936Z digest=sha256:39665ea66662d568ffd35510483d9571b049f4bb628c59a71655036ddb8e9b56

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T00:39:43.196010Z digest=sha256:bf9e464ac69dd302e582a7bd0925b7b56105690a4271b139f57ad38121890bd0

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=sha256:562dd1cdea3311b52d239c9c90973b2b083f68afdeb618ddad9cd2e9f9174d5d