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Paper Citation Record · LEDGER

AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

As of 18 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 2026-08-18T06:34:40.430872+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:a4e6c93745afc924996d902dd28b421d2e0402e260c4b7eaa2d3051cd1a8a0fd

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:e63853c8b6efcd13272738c794080f27b23bcafee6da50435f6b10c4727a2567

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:a76dba4de38650653eb5871c619ba62355978e57ab66ad995dd3015b2932687d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T00:39:43.196010Z digest=sha256:9f33106f1e5338969dda21ccb39b6b3b6e73565bf639d559c0f79285fbbe3f08

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=sha256:38ee02725549425f3639aa7234fc9be5430f40f88e0f656305d93805a4e957fa