Paper Citation Record · LEDGER

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams

As of 22 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 3 inbound Pith citation observations for arXiv:2412.13528.

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

pith.paper-citation-record.v1
2412.13528 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:05:23.238383Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:11:46.334141Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:33:48.591475Z

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy8
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f01915f7-b87f-424e-a5a4-95076a3aed7f · outbound

This paper cites Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.291759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 755fbab8-edfa-4a24-9dbf-6e1ee5de7b9a · outbound

This paper cites Scamming the Scammers: Towards Automatic Detection of Persuasion in Advance Fee Frauds,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams Scamming the Scammers: Towards Automatic Detection of Persuasion in Advance Fee Frauds,

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.356919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44653b28-ef67-4c25-9417-dcb739b2af8d · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks,

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.339847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5e62f8b-df33-435d-8be5-e5fa53580f9a · outbound

This paper cites An Investigation of Phishing Awareness and Education Over Time: When and How to Best Remind Users,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams An Investigation of Phishing Awareness and Education Over Time: When and How to Best Remind Users,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.323981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa37cd3a-d1ad-4dda-8ceb-826f8fbd1fec · outbound

This paper cites Detecting Telephone-Based Social Engineering Attacks using Scam Signatures,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams Detecting Telephone-Based Social Engineering Attacks using Scam Signatures,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.373123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5d612be-3f42-4d23-a44d-ef166dc0470f · outbound

This paper cites Cybersecurity Education, Awareness Raising, and Training Initiatives: National Level Evidence-Based Results, Challenges, and Promise,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams Cybersecurity Education, Awareness Raising, and Training Initiatives: National Level Evidence-Based Results, Challenges, and Promise,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.307196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 59eb3fc1-d9f7-4309-a47f-99ed3be1f51f · outbound

This paper cites FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact -Checking,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact -Checking,

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.388901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1080e724-343a-4862-b9ef-35e81888e544 · outbound

This paper cites Anatomy of an AI -Powered Malicious Social Botnet,.

ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams Anatomy of an AI -Powered Malicious Social Botnet,

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:23.275381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 32b65904-4f43-4348-b594-a451fae3d5b2 · inbound

Promoting Online Safety by Simulating Unsafe Conversations with LLMs cites this paper.

Promoting Online Safety by Simulating Unsafe Conversations with LLMs ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:55:32.889476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e0f69cd-3734-47ce-866a-ec95cd97e430 · inbound

Send to which account? Evaluation of an LLM-based Scambaiting System cites this paper.

Send to which account? Evaluation of an LLM-based Scambaiting System ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T16:11:46.334141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d73c78b-1e6c-4b23-97e4-9a9a09aa44cd · inbound

ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage cites this paper.

ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage ScamGPT-J: Inside the Scammer's Mind, A Generative AI-Based Approach Toward Combating Messaging Scams

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:33:48.594561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.