Paper Citation Record · LEDGER

COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.07959.

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

pith.paper-citation-record.v1
2410.07959 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:01.720588Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T09:57:00.691632Z

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 18968b68-ef8f-4c59-8ec1-69467b5a8c12 · inbound

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Reference 232

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:36.978285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ca1663f-e8b9-4ce7-9873-268c1456183e · inbound

Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments cites this paper.

Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:01.720588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232edc08-05fc-4859-ae8c-82d5204efa6b · inbound

AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models cites this paper.

AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:36:22.390278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7bc503b2-076e-41f3-ab3b-72eaf90a0254 · inbound

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts cites this paper.

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:35:48.818939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 81fd9744-4afa-4e10-bd14-8bb553e7aa52 · inbound

Meta-Benchmarks for Financial-Services LLM Evaluation cites this paper.

Meta-Benchmarks for Financial-Services LLM Evaluation COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:18:22.699375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4d7027e0-d598-417e-b515-4306f895bdd8 · inbound

Reverse Engineering Compliance: A Dual-Graph Verification Framework for Auditing Legacy IT Security Concepts cites this paper.

Reverse Engineering Compliance: A Dual-Graph Verification Framework for Auditing Legacy IT Security Concepts COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-10T09:57:00.693221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e9ca873-9a3b-4e68-ba1c-8295710a7627 · inbound

Do Generative AI Assistants Respect robots.txt? Tracing Web Access Beyond Visible Answers cites this paper.

Do Generative AI Assistants Respect robots.txt? Tracing Web Access Beyond Visible Answers COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T02:07:30.687637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.