Paper Citation Record · LEDGER

Lateral Phishing With Large Language Models: A Large Organization Comparative Study

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.09727.

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

pith.paper-citation-record.v1
2401.09727 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:56.472802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:52:05.348532Z

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 c3ca37bd-1410-4c7a-9780-79451661701b · inbound

PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models cites this paper.

PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T18:39:41.141716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c7dea3-b133-437e-b1f7-6c7fc158ab03 · inbound

SpearBot: Leveraging Large Language Models in a Generative-Critique Framework for Spear-Phishing Email Generation cites this paper.

SpearBot: Leveraging Large Language Models in a Generative-Critique Framework for Spear-Phishing Email Generation Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:21:48.334119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7efc8be-948e-40c0-b496-1cb7f875415b · inbound

GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge cites this paper.

GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:18:47.198514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58b781ef-4abf-493e-8b88-2f4fd6cec763 · inbound

Generative AI for Internet of Things Security: Challenges and Opportunities cites this paper.

Generative AI for Internet of Things Security: Challenges and Opportunities Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.642415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78e440a-ac7c-4544-897b-edd9be22041f · inbound

The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations cites this paper.

The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:56.472802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3548ff91-727d-4441-9c79-8ea749ee29d7 · inbound

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams cites this paper.

ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:12:40.703187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35dab3e8-97cb-4294-84b9-9390f7709454 · inbound

PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants cites this paper.

PiMRef: Detecting and Explaining Ever-evolving Spear Phishing Emails with Knowledge Base Invariants Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 116

Resolution: unresolved; no resolver link, observed 2026-08-06T15:38:32.048436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1afdc2b4-df4d-4bc7-afff-f35aafde13f5 · inbound

Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data cites this paper.

Context-Aware Spear Phishing: Generative AI-Enabled Attacks Against Individuals via Public Social Media Data Lateral Phishing With Large Language Models: A Large Organization Comparative Study

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:52:05.351034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.