Paper Citation Record · LEDGER

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure?

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.11565.

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

pith.paper-citation-record.v1
2505.11565 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:00.747373Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:27:18.699798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T15:27:18.878913Z

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy13
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47c57ae0-f5aa-4de6-9150-923871842a50 · outbound

This paper cites CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.600158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60d253aa-33b7-4b57-be58-1e1c3ff435ed · outbound

This paper cites https://aws.amazon.com/bedrock/ (2023), accessed: 2024-10-11.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? https://aws.amazon.com/bedrock/ (2023), accessed: 2024-10-11

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.368543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2af5245b-6c22-48a9-b8ba-d207dbce07b2 · outbound

This paper cites AWS Documentation (2024).

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? AWS Documentation (2024)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.353809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e8ee5aaf-dfaf-4764-b8ad-7b0a3c5fc0fd · outbound

This paper cites https://paperswithcode.com/paper/the-claude-3-model-family-opus- sonnet-haiku (2024), accessed: 2024-06-24.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? https://paperswithcode.com/paper/the-claude-3-model-family-opus- sonnet-haiku (2024), accessed: 2024-06-24

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.339783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2c4686d4-931d-4a66-a02a-98f6bade1583 · outbound

This paper cites CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? CyberSecEval 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.620761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf1f447-2422-464e-bd27-8c13e78f977d · outbound

This paper cites In: Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security, pp.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? In: Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security, pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.325782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c4c05fec-6e51-402a-90a1-e829248ce575 · outbound

This paper cites DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.631085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89707cac-3e35-48d3-97b1-5305fb4952a4 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Gemini: A Family of Highly Capable Multimodal Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.635944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 717a178a-a2eb-4163-84e7-2f5612d4739d · outbound

This paper cites an unresolved cited work.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:03:01.309888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 357e5a00-7952-4c92-a3e8-e9ed4eb26c62 · outbound

This paper cites SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.645056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26886b76-a113-4868-b9cc-a0d24da6dfaf · outbound

This paper cites Exploring the Limits of ChatGPT in Software Security Applications.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Exploring the Limits of ChatGPT in Software Security Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.649993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346bb960-b896-490a-b376-01b987e8b5ca · outbound

This paper cites In: Proceedings of the Workshop on Autonomous Cybersecurity, p.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? In: Proceedings of the Workshop on Autonomous Cybersecurity, p

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.294328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a8933d4c-2bdc-450a-9f1c-67a4ea59b97b · outbound

This paper cites Journal of Cybersecurity Research12(2), 78–93 (2025).

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Journal of Cybersecurity Research12(2), 78–93 (2025)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.279142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc07bc72-7e6e-411f-a805-f10812dc361c · outbound

This paper cites In: The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2024).

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? In: The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track (2024)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.264476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 91dc3a3a-b10d-48c7-98ba-590c951bfb72 · outbound

This paper cites OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? OCCULT: Evaluating Large Language Models for Offensive Cyber Operation Capabilities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.669351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00d26e69-dc3a-4100-b645-3f1d02db5f3c · outbound

This paper cites https://diagrams.mingrammer.com/ (2020).

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? https://diagrams.mingrammer.com/ (2020)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.249943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2bdfd671-618f-4aaf-928e-649455dd4fe5 · outbound

This paper cites In: Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, p.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? In: Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, p

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.679247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c093a09f-547f-40ec-8ebc-eab70e0a9f9a · outbound

This paper cites In: Text Summarization Branches Out, pp.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? In: Text Summarization Branches Out, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.235313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22e0a3d1-34c9-495a-806d-69f606450066 · outbound

This paper cites IEEE Transactions on Dependable and Secure Computing21(3), 1558–1571 (2024) 16 S.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? IEEE Transactions on Dependable and Secure Computing21(3), 1558–1571 (2024) 16 S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.220493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7affbaf8-aa44-4feb-bf7a-0081299f8756 · outbound

This paper cites Microsoft Security Developer Center (2009).

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Microsoft Security Developer Center (2009)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.205641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5be3c08c-ff79-4a8d-b2a0-bc4df2035934 · outbound

This paper cites an unresolved cited work.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:03:01.190244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 15012679-d1ad-4a11-8dd5-759ce3f5e223 · outbound

This paper cites GPT-4 Technical Report.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? GPT-4 Technical Report

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.702661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89d048a6-287f-43b9-a024-ce3006850d6e · outbound

This paper cites an unresolved cited work.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:03:01.173318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f46d63e-ab30-4b48-b0fb-6d5d6d486985 · outbound

This paper cites Evaluating Frontier Models for Dangerous Capabilities.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Evaluating Frontier Models for Dangerous Capabilities

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.711731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6e258fd-c589-481a-959d-4adbc2725d75 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.716571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f18f7a7-645b-4f8d-b89b-ebbab65635ab · outbound

This paper cites an unresolved cited work.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:03:01.157807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fafbfe44-7f51-47bd-8ed3-47bd7982a174 · outbound

This paper cites John Wiley & Sons (2014).

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? John Wiley & Sons (2014)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.142161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e1e8e86-26e2-4f5d-a6c6-3a4a86b6c419 · outbound

This paper cites https://techcrunch.com/2024/02/02/ai-pushes-quarterly-cloud- infrastructure-revenue-to-74b-globally/ (2024).

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? https://techcrunch.com/2024/02/02/ai-pushes-quarterly-cloud- infrastructure-revenue-to-74b-globally/ (2024)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:03:01.126740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1c4f3760-6060-4832-82e2-3b20d32836e0 · outbound

This paper cites CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.734118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f62e579-9cfb-41c8-8050-7ea2aeb6c8ec · outbound

This paper cites an unresolved cited work.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:03:01.109876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3b41d085-96b3-4584-8832-8d0fcb759c12 · outbound

This paper cites CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.742819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7b22b0b-cb7d-4a2f-acb7-dc3f95228778 · outbound

This paper cites ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System.

ACSE-Eval: Can LLMs threat model real-world cloud infrastructure? ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.747373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4e1e1554-5e54-4247-baac-180ca981b41d · inbound

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping cites this paper.

ThreatForest: Multi-Agent Attack Tree Generation with Pluggable TTP Framework Mapping ACSE-Eval: Can LLMs threat model real-world cloud infrastructure?

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T15:27:18.886162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.