Paper Citation Record · LEDGER

Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.05595.

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

pith.paper-citation-record.v1
2310.05595 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T01:00:00.112251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:41:14.474373Z

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 7cc61d5c-d1df-4799-8046-07250a2ee288 · inbound

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

HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T01:00:00.112251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b283edc1-6763-4706-87ee-73e4df1b9071 · inbound

Provably effective detection of effective data poisoning attacks cites this paper.

Provably effective detection of effective data poisoning attacks Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T17:57:28.820359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dd944c6-0c52-4121-af60-c1334cae4cab · inbound

Automated Privacy Information Annotation in Large Language Model Interactions cites this paper.

Automated Privacy Information Annotation in Large Language Model Interactions Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:43.736237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ef707c5-d172-48d9-920a-cc4db3499a0a · inbound

SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviors cites this paper.

SEAR: A Multimodal Dataset for Analyzing AR-LLM-Driven Social Engineering Behaviors Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:26:26.175198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdffe046-0042-4517-8d77-f7ce27c42d54 · inbound

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction cites this paper.

PhishKey: A Novel Centroid-Based Approach for Enhanced Phishing Detection Using Adaptive HTML Component Extraction Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T22:39:26.411905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd768182-5e05-40d4-95fb-f256748a8386 · inbound

UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks cites this paper.

UNSEEN: A Cross-Stack LLM Unlearning Defense against AR-LLM Social Engineering Attacks Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:14.478817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78dd039b-5d57-49ca-af7b-67dbdcb4b91c · inbound

PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks cites this paper.

PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:10.548597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.