Paper Citation Record · LEDGER

ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.18093.

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

pith.paper-citation-record.v1
2402.18093 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 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:37:39.768205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:56:16.017637Z

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 4182dbb4-605b-4697-9d00-4235e14b56c8 · inbound

Training Users Against Human and GPT-4 Generated Social Engineering Attacks cites this paper.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.768205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a49264b-2765-4387-9dd0-7288edc47d28 · inbound

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails cites this paper.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:22.965521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c573979f-9b5a-4e0f-a172-efd690ec4f38 · inbound

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

Enhancing Phishing Email Identification with Large Language Models ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T21:38:52.568993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8548b7e7-a6b4-4b7e-a2d6-237279415af1 · 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 ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T17:19:44.094826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768f1df3-6c74-4b12-ac78-4d388afcf134 · inbound

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection cites this paper.

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:15.674553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 147971cf-4964-4c2c-a6fa-79525ed620ac · inbound

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability cites this paper.

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:37.348346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc344906-a770-42de-8b3a-794d2ca084e0 · 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 ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:38:22.584922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 690e0d2b-ac53-4de9-a10d-88e38e9a75f1 · inbound

An LLM-based Chain-of-Response Counter-Scam System cites this paper.

An LLM-based Chain-of-Response Counter-Scam System ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:16.019159Z

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.