Paper Citation Record · LEDGER

Generating Phishing Attacks using ChatGPT

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.05133.

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

pith.paper-citation-record.v1
2305.05133 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:20:17.008507Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:04:21.886914Z

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 ee6a62f7-4548-42db-9734-52a7417ea297 · inbound

GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization cites this paper.

GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization Generating Phishing Attacks using ChatGPT

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:05:47.007778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fb60fe0a-1749-4d93-9f8d-35940fa62bb7 · inbound

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects cites this paper.

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects Generating Phishing Attacks using ChatGPT

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:20:17.008507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dba0e195-afb6-4d12-a562-823deb0ec1be · inbound

Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency cites this paper.

Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency Generating Phishing Attacks using ChatGPT

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T18:45:35.476453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccd3f02c-1b01-4181-bf80-f76a22535934 · inbound

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques cites this paper.

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques Generating Phishing Attacks using ChatGPT

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-04T20:41:49.972077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88990d8a-23da-46ef-ac87-0129b6e6bcb1 · inbound

LLM Wardens: Mitigating Adversarial Persuasion with Third-Party Conversational Oversight cites this paper.

LLM Wardens: Mitigating Adversarial Persuasion with Third-Party Conversational Oversight Generating Phishing Attacks using ChatGPT

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:24.561593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7b48c94-43cf-40cc-b46f-1e516db534c7 · inbound

CAREBench: A Child-Safety Risk Benchmark for Language Models cites this paper.

CAREBench: A Child-Safety Risk Benchmark for Language Models Generating Phishing Attacks using ChatGPT

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.888730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.