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Paper Citation Record · LEDGER

A Framework for Evaluating Emerging Cyberattack Capabilities of AI

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2503.11917.

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

pith.paper-citation-record.v1
2503.11917 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:34:05.024195Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation edeb7c67-7fd6-498c-9e35-a670721dccca · inbound

Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures cites this paper.

Mapping Industry Practices to the EU AI Act's GPAI Code of Practice Safety and Security Measures A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:34:05.024195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:34:05.024195Z digest=sha256:11e805bd6d1e1363cf7e63256304957353c84bfe83b0aa74d5e4d5a8b6670676

Observation ac12a9b0-4073-4b69-844a-8988ac3e958c · inbound

Defending Against Intelligent Attackers at Large Scales cites this paper.

Defending Against Intelligent Attackers at Large Scales A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:14:29.892675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:14:29.892675Z digest=sha256:4b242b380f61b433053969c7c623bce88d4d2dd40f067b54d2e82138c59c768d

Observation 57d50ef7-e924-414e-8437-a5f2f792130c · inbound

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks cites this paper.

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 161

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:59.484922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:59.484922Z digest=sha256:0575efaf420dc9a60d57d5b46e50180fc80ff351c2347d6b56136e7924fb8a29

Observation c80dba00-874f-4d64-8dbd-0988ac42796d · inbound

Leveraging LLM Inconsistency to Boost Pass@k Performance cites this paper.

Leveraging LLM Inconsistency to Boost Pass@k Performance A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:30:13.107210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:30:13.107210Z digest=sha256:531088204cc599b8320d69aadbc0b7c455df1bb43a589c0f9686402acfbb18cc

Observation b9d6e145-57cb-4e42-94ce-aa6c45b86a81 · inbound

Mitigating Cyber Risk in the Age of Open-Weight LLMs: Policy Gaps and Technical Realities cites this paper.

Mitigating Cyber Risk in the Age of Open-Weight LLMs: Policy Gaps and Technical Realities A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:02.491572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:20:02.491572Z digest=sha256:9557d9b785689c6e1a9cecd69e7d4a651ec50e2162c2753d9b00355e199dedcb

Observation 35c7a435-5a16-4f23-a9b8-ca22286b7f37 · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:52:07.702807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:c42dcf0dd6986e47160f99f50f23f4f9b86040243c52503e84a88e2a35d18887

Observation 815b227e-cbfa-490c-b9e3-b04ddef48960 · inbound

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities cites this paper.

Neuro-Symbolic AI for Cybersecurity: State of the Art, Challenges, and Opportunities A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T18:06:42.965664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T18:04:09.528381Z digest=sha256:648d9048efdd357aeec9c3d97379010eec63c7baf839004d02cd9beb60b5fbbc

Observation a1b444b4-ba4b-461c-8f56-3645c50d27aa · inbound

CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge cites this paper.

CyberCertBench: Evaluating LLMs in Cybersecurity Certification Knowledge A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:34:47.021369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T00:32:59.120345Z digest=sha256:80d1289e4d8ebedfe3b9669d4cae6118826af639ed703349ef93b176e8debcdf

Observation c0391ffe-52b4-4b62-8e4e-b70a8e470155 · inbound

AI Agents Enable Adaptive Computer Worms cites this paper.

AI Agents Enable Adaptive Computer Worms A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T04:16:35.428305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T09:18:59.008107Z digest=sha256:73765b2c6f1cc9e995796560eb45a38e5c1d1c9d57350eddc1de824311439cb8

Observation 67ed9d9a-b3e5-41ca-ade5-e9a5662f69d0 · inbound

The Emergence of Autonomous Penetration Capabilities in Large Language Model-Powered AI Systems cites this paper.

The Emergence of Autonomous Penetration Capabilities in Large Language Model-Powered AI Systems A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:38:33.519676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T06:25:17.298114Z digest=sha256:b2219486be699f6a2b4456ea239e459c6a1f955c6dfe8748b3053f80995660f9

Observation e6f7603d-c921-48cc-a6be-1a81e0cb9c01 · inbound

The Emergence of Autonomous Penetration Capabilities in Large Language Model-Powered AI Systems cites this paper.

The Emergence of Autonomous Penetration Capabilities in Large Language Model-Powered AI Systems A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:34:38.128977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T11:27:22.436981Z digest=sha256:3b415ce8c572801279d593be0de4dbbfb7c179979330f37e8bca73a07c6dda89

Observation 9c912376-5d42-4e2a-bcfe-6e5b171d7495 · inbound

Harmonizing AI Safety Thresholds cites this paper.

Harmonizing AI Safety Thresholds A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T21:24:14.901012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:24:14.901012Z digest=sha256:20f76f503ac00ba73682dae88fe8a6a7590fae048ab25f393553e391744238bc

Observation 0a85ae0a-5a5d-494f-add0-39f6ec715351 · inbound

SoK: How Frontier AI Reshapes System-Level Security Risk Dynamics in Critical Infrastructure cites this paper.

SoK: How Frontier AI Reshapes System-Level Security Risk Dynamics in Critical Infrastructure A Framework for Evaluating Emerging Cyberattack Capabilities of AI

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T00:13:33.133908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:13:33.133908Z digest=sha256:80f82abaf54e0d84d72a8edda7225179e175ce2973ca7ef3e641d3f704d41e18