Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:23:49.642415Z

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 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 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 2026-08-09T06:31:02.800959+00:00.