Paper Citation Record · LEDGER

From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.15336.

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

pith.paper-citation-record.v1
2305.15336 v1

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 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:35:15.677931Z

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

28
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 b1e62eaf-a501-40f9-a49b-13807ce092fc · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Reference 285

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:30:45.113293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57754555-124f-4f80-91fb-22445828f4d8 · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:49.993901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ede95ae1-3897-431d-9796-e8cda9752b94 · inbound

PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages cites this paper.

PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:15.677931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb1b0d52-1d4f-4cec-8629-687b4d7cd886 · inbound

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T16:24:28.303875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed7984b-8f98-4228-b648-4a15ac91245a · inbound

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM cites this paper.

Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T23:13:01.893879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d76718-2953-4059-bf7e-72e2d53977d2 · inbound

Ransomware 3.0: Self-Composing and LLM-Orchestrated cites this paper.

Ransomware 3.0: Self-Composing and LLM-Orchestrated From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:09:23.701321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce772ba0-031c-4f85-9aa1-b932447a5e3f · inbound

Synthetic APTs: the Collapse of TTP-Based Attribution cites this paper.

Synthetic APTs: the Collapse of TTP-Based Attribution From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-27T22:11:21.033417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.