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Paper Citation Record · LEDGER

Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2308.12287.

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

pith.paper-citation-record.v1
2308.12287 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 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:39:41.136708Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:01:51.444559Z

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 806280cb-86dd-4b30-bca0-a3ebccd5b5a8 · 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 Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:41.136708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:41.136708Z digest=sha256:b92ce3cb18c1e362ac8f3486cbb11ff130b9d164112ef81a18811d13bc3b1511

Observation b068f2ee-e71e-494a-aed3-b64b16601c15 · 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 Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:17.156022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:17.156022Z digest=sha256:12ea2288367de810bc285de68f4d30548900247bb1006b532acbf57707017d1e

Observation 0fa24217-b973-401f-b74c-d23e6eacbd06 · inbound

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing cites this paper.

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T01:00:00.100310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T01:00:00.100310Z digest=sha256:b0df3f8f717ac670286912a53c9f88fe371d32976f11856bc2851117ab0796ee

Observation 3757171b-05db-461a-a37d-d1bbada69c16 · 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 Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T15:21:48.370044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:21:48.370044Z digest=sha256:1101f868e25fecef277470fb6819726328971a1c755646173564ffa56c0db1c6

Observation 2a30315c-cb69-4e2a-9ce3-8168ea2d4d83 · inbound

Enhancing Phishing Email Identification with Large Language Models cites this paper.

Enhancing Phishing Email Identification with Large Language Models Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T21:38:52.595834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:38:52.595834Z digest=sha256:7b82b9ca2cccf74e2044cf9fac6ae150f2622cd87839e64f21c526959a272b54

Observation ff27cdc0-8526-4c76-8925-8e8e28734ed4 · inbound

Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks cites this paper.

Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-08T17:19:44.084460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:19:44.084460Z digest=sha256:08856132abc55f547de19e37c7f5f05662b90ae0f0bb0c37f9197903d717d7cf

Observation 405ed541-d779-4c5a-966f-d18a280f9100 · inbound

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

Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:30.023212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:30.023212Z digest=sha256:d900d97cbbd0dd91fda2892df660278ed9452bc932e9ff1d097fa356c3619be0

Observation e9a89035-a099-44d5-8f14-0c51ad0dbf0b · inbound

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing cites this paper.

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:01:51.447027Z

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.

source=pdf_text observed=2026-05-18T20:57:03.172931Z digest=sha256:1b01df7e4ab902de719cda273f0b985d69500cfe21e9b133c6106c1a798be195