Paper Citation Record · LEDGER

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 5 inbound Pith citation observations for arXiv:2501.01335.

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

pith.paper-citation-record.v1
2501.01335 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:38.399736Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:07:49.656453Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:13:26.857749Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy26
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 394d2da9-20a5-4d2f-aba0-97f28a9487d0 · outbound

This paper cites Attention is all you need,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Attention is all you need,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.900094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85c47fea-b254-4483-94c5-8ed5bedf4865 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.245105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06334a4c-b326-40ff-b3a7-af985cfa448a · outbound

This paper cites GPT-4 Technical Report.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.249713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2b81a7-ce05-4e15-b14d-16675bc9ea02 · outbound

This paper cites Language models are few-shot learners,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Language models are few-shot learners,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.888463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3779f392-0e1d-423c-8d16-43f14af15ec2 · outbound

This paper cites Scaling Laws for Neural Language Models.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Scaling Laws for Neural Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.258417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf7f252-9a37-4b11-8356-e6d8a1eb7104 · outbound

This paper cites Emergent Abilities of Large Language Models.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Emergent Abilities of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.263658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e4b5da-e15a-43ae-a213-53a99deabc98 · outbound

This paper cites User centric evaluation of code generation tools (invited paper),.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models User centric evaluation of code generation tools (invited paper),

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.875961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1bfa694e-5319-4a42-a773-4fb2ed8ffbe3 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Evaluating Large Language Models Trained on Code

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.271863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf78ff7-23cd-4a91-a0be-68661a85cfaf · outbound

This paper cites GitHub and OpenAI Launch a New AI Tool That Generates Its Own Code,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models GitHub and OpenAI Launch a New AI Tool That Generates Its Own Code,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.863430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cfe53d0e-9895-4ba7-a6c3-9132f68cfcc7 · outbound

This paper cites Program Synthesis with Large Language Models.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Program Synthesis with Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.283387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb596840-b193-4ff7-aded-cea867d10a39 · outbound

This paper cites Available: https://www.theverge.com/2021/6/29/22555777/ github-openai-ai-tool-autocomplete-code.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Available: https://www.theverge.com/2021/6/29/22555777/ github-openai-ai-tool-autocomplete-code

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.849828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75b8d44c-00b9-44bb-8576-a849ba00d04b · outbound

This paper cites GitHub Copilot AI pair programmer: Asset or Liability?.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models GitHub Copilot AI pair programmer: Asset or Liability?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.287350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 795f1630-e2ec-4742-9d0b-8716ca40b5e3 · outbound

This paper cites From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.836778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c28cd4b5-51d0-401b-9765-e887f8799e09 · outbound

This paper cites (2023, April) Jailbreaking Large Language Models: A Comprehensive Guide.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models (2023, April) Jailbreaking Large Language Models: A Comprehensive Guide

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.824499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23059078-f6ee-4f6e-9942-36d70484c918 · outbound

This paper cites Low-Resource Languages Jailbreak GPT-4,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Low-Resource Languages Jailbreak GPT-4,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.811814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 369f7a32-70d8-4ae1-bfd3-4521cd26ad8c · outbound

This paper cites Making Them Ask and Answer: Jail- breaking Large Language Models in Few Queries via Disguise and Reconstruction,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Making Them Ask and Answer: Jail- breaking Large Language Models in Few Queries via Disguise and Reconstruction,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.800544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47bb46b7-dc36-4e93-8da6-5b7728b6eb8f · outbound

This paper cites A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.306228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65b8c4f-3271-444d-9564-7978ac20a2cb · outbound

This paper cites ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.310299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5f85662-b51c-4054-81a3-66a3acd0e78d · outbound

This paper cites WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.314160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f18928-7900-42da-8b72-6a48dea64be2 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.318160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa658a1a-add4-4a07-b7cd-cdb01994be11 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.322495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4585807e-2935-490f-8662-0a092b346e74 · outbound

This paper cites Universal and transferable adversarial attacks on aligned language models,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Universal and transferable adversarial attacks on aligned language models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.326659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8610f2e-47ae-4cae-8659-e84485a13a41 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.781864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91792451-f15e-4212-ac6d-e8062af6ab99 · outbound

This paper cites Malicious tasks dataset,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Malicious tasks dataset,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.770146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6f52abfc-b334-472d-8168-4543b6507443 · outbound

This paper cites ‘Do Anything Now’: Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models ‘Do Anything Now’: Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.759626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c52494ba-cdcc-41c4-99f2-b71fbdefc1c4 · outbound

This paper cites Jailbreakv28k,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Jailbreakv28k,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.747605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 13453a22-50cd-4e52-a56f-ae30aa701761 · outbound

This paper cites Chatgpt-jailbreak-prompts,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Chatgpt-jailbreak-prompts,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.736401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bce99a5c-7eec-418d-9cd5-9c62ba89b05f · outbound

This paper cites Jailbreakhub,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Jailbreakhub,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.724915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75f2139a-ca16-4e1b-bccb-602ee3084b70 · outbound

This paper cites Malicious-llm-prompts-v4,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Malicious-llm-prompts-v4,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.712709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 813ca809-fb8f-48d0-86d3-dc8786ddeae8 · outbound

This paper cites Prompt injection,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Prompt injection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.701517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation edf76cb9-b1cc-48ca-b7c7-8219466ebb49 · outbound

This paper cites Wahr ´eus, A.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Wahr ´eus, A

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.689917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b37494c0-383a-4279-9e11-7b440e425828 · outbound

This paper cites (2024) Homepage.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models (2024) Homepage

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.678044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2a3fb33-a72e-4548-bf02-df0a8b24220f · outbound

This paper cites Gemini: Google’s generative ai platform,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Gemini: Google’s generative ai platform,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.665469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f71cae31-1adb-4a68-be46-80463d21cf69 · outbound

This paper cites Claude: Anthropic’s AI Assistant,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Claude: Anthropic’s AI Assistant,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.651951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eda6621f-06da-498b-82a2-9325344c28ff · outbound

This paper cites GPT-4o Mini: Advancing Cost-Efficient Intelligence,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models GPT-4o Mini: Advancing Cost-Efficient Intelligence,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.639613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbeefd07-2889-4061-bd1a-4e0e912bf30d · outbound

This paper cites (2024) MECE Principle: Definition, Exam- ples, and Tips.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models (2024) MECE Principle: Definition, Exam- ples, and Tips

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.626742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7fd6d0aa-b977-4c09-a1f2-20e64604fe23 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T22:32:38.384119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9574c9bd-f1c5-4e4c-883d-875c7300ae1d · outbound

This paper cites Leaderboards: Models,.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Leaderboards: Models,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.614072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a4a2d54-4430-4c47-9ea6-615404516cc7 · outbound

This paper cites SELECT * FROM files WHERE filename = '{user_input}'.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models SELECT * FROM files WHERE filename = '{user_input}'

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.601965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82a4395e-ee6c-400e-abc5-9b4384aaaa4a · outbound

This paper cites [...] Exam solutions:.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models [...] Exam solutions:

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:32:38.589448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11cc1283-7cfb-4e93-8e1d-69df6b4efe38 · outbound

This paper cites Security Group: {group['GroupName']}.

CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models Security Group: {group['GroupName']}

Reference 41

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T22:32:38.577661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 4354f13b-1192-43e7-8e2e-fb844b5a9a7d · inbound

Beyond Context: Large Language Models' Failure to Grasp Users' Intent cites this paper.

Beyond Context: Large Language Models' Failure to Grasp Users' Intent CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:11:13.595981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cbc84e15-8cf5-4516-a13c-d0e9db908561 · inbound

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts cites this paper.

A Validated Prompt Bank for Malicious Code Generation: Separating Executable Weapons from Security Knowledge in 1,554 Consensus-Labeled Prompts CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:45:39.774198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c77e2777-4729-4282-8dd3-d95762d319cd · inbound

Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025) cites this paper.

Refusal Evaluation in Coding LLMs and Code Agents: A Systematic Review of Thirteen Malicious-Code Prompt Corpora (2023-2025) CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:39:48.600278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3e1333a-43e6-444d-b612-7a807749e5fa · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.859043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5ccaa60-9c45-48f2-b43f-3e6cdae197b5 · inbound

Code as a Weapon: A Consensus-Labeled Prompt Bank for Measuring Coding-Model Compliance with Malicious-Code Requests cites this paper.

Code as a Weapon: A Consensus-Labeled Prompt Bank for Measuring Coding-Model Compliance with Malicious-Code Requests CySecBench: Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:33:22.642964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.