Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:39:41.136708Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T21:01:51.444559Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 806280cb-86dd-4b30-bca0-a3ebccd5b5a8 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b068f2ee-e71e-494a-aed3-b64b16601c15 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fa24217-b973-401f-b74c-d23e6eacbd06 · inbound
HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3757171b-05db-461a-a37d-d1bbada69c16 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a30315c-cb69-4e2a-9ce3-8168ea2d4d83 · inbound
Enhancing Phishing Email Identification with Large Language Models Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 405ed541-d779-4c5a-966f-d18a280f9100 · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Reference 109
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9a89035-a099-44d5-8f14-0c51ad0dbf0b · inbound
SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Reference 47
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.