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Paper Citation Record · LEDGER

ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:23:50.975861Z

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 76bd6ce2-4460-4f49-9fb0-42ef6ed91a85 · 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 ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T18:39:41.047995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:39:41.047995Z digest=sha256:3e92e176215f551a8217852c83d9d9b9b0001ca785a32e45eebfe44eb8cf4b00

Observation 41486531-512a-4493-ae06-1ba3826865e3 · inbound

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers cites this paper.

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T15:51:08.477349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:51:08.477349Z digest=sha256:bebdf88318c083499c4d344284999c03dd0fa787c9f75a8b747fbd373da934f1

Observation 19c933f5-0ccd-43d0-8a8a-6fad79e2ccbf · 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 ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T15:21:48.381109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:21:48.381109Z digest=sha256:99b88eb04023aaf694aea8aacf5b6af59b815894f23f9d4392e2477e31222a68

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.

source=pdf_text observed=2026-08-09T14:37:39.768205Z digest=sha256:ba0083acb434b52b6114fd6fa0629a82bc31b7d8a0c48ddc055ef06898c01311

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.

source=pdf_text observed=2026-08-09T04:21:22.965521Z digest=sha256:cd65db1454337b6e986ed4c5b52e2ecea2b60b3a081a6034e88640df70cbd13a

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.

source=pdf_text observed=2026-08-08T21:38:52.568993Z digest=sha256:63d3b32e59c260a6d694d96a2cee6f74f856cc891ed025e67f0eed999af678a2

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.

source=pdf_text observed=2026-08-08T17:19:44.094826Z digest=sha256:c4ea084514b32f8c72e2fec905763c0bf6b1a035cc32e1b317d1e40b3146fdc3

Observation dd42b44d-7cc1-4f2b-8013-a4ca49066dbb · inbound

Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey cites this paper.

Exploring the Role of Large Language Models in Cybersecurity: A Systematic Survey ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:23:50.975861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:23:50.975861Z digest=sha256:861849e53a40d06e667b15837240e134758353807210ad98e2aea140167c69b1

Observation 8326942e-a205-4345-a0a4-96d24277ff8d · inbound

Improving Phishing Email Detection Performance of Small Large Language Models cites this paper.

Improving Phishing Email Detection Performance of Small Large Language Models ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T05:23:34.759610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:23:34.759610Z digest=sha256:0a849b6cec28f57af6a8a0300b7364015672c5ca2eca9cb48d5d0282c501abbd

Observation e04a2d80-ec56-4eba-8ce2-f27485357999 · inbound

Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models cites this paper.

Advancing Email Spam Detection: Leveraging Zero-Shot Learning and Large Language Models ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T00:56:58.002825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:56:58.002825Z digest=sha256:ad1c363cd6e235859a29ff2cb21d5b5229a56dd9bbb94ecb47349e53d101428d

Observation 2d423e73-61fe-4ef4-98cb-902d34ec98d9 · inbound

Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity cites this paper.

Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T00:00:26.265217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:00:26.265217Z digest=sha256:7e93d1398d2cc4f0d21a36c2ba1f66aa90c4fe3514d0c3cdce1e355192e29cd7

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.

source=pdf_text observed=2026-08-07T13:59:15.674553Z digest=sha256:fbc60d74e50bfd0debe5093bf178d8243f2f4372723e7ac3533e4e8618fc8459

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.

source=pdf_text observed=2026-08-07T00:32:37.348346Z digest=sha256:d9517f7fc0346f29978bc0e266525774671f42d303924b6924548e94290fbf7c

Observation 9a6b4723-268e-466d-a828-c8c173bf3f71 · inbound

LLM-Powered Intent-Based Categorization of Phishing Emails cites this paper.

LLM-Powered Intent-Based Categorization of Phishing Emails ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T19:56:15.325567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:56:15.325567Z digest=sha256:806fa3f6fae06e6388ac22c7fbc82a02a8284be03d85adbbcbe2e5843a2303ae

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.

source=pdf_text observed=2026-08-06T15:38:22.584922Z digest=sha256:63fcab839d2c3029088e4450e37277268df52e06a9c390ac0948611a96343e02

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T15:58:34.433189Z digest=sha256:ab3d45ea7438352104ee05cfa71ae9a4827393ccb78fe2928bdb60889e043112