Paper Citation Record · LEDGER

Training Users Against Human and GPT-4 Generated Social Engineering Attacks

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2502.01764.

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

pith.paper-citation-record.v1
2502.01764 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:37:39.866101Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T20:57:03.172931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:01:51.430939Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy34
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d7d6dcc-1ba5-43b8-bd33-647fc433fdf3 · outbound

This paper cites GPT-4 Technical Report.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.648391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05a36882-c0e7-4730-86a9-fac147e58f07 · outbound

This paper cites Cluster Computing 26(6), 3421– 3436 (2023).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Cluster Computing 26(6), 3421– 3436 (2023)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.601715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d081ed1-09c8-4d22-8a58-12fdc58ba6c4 · outbound

This paper cites Journal of contemporary criminal justice37(3), 427–451 (2021).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Journal of contemporary criminal justice37(3), 427–451 (2021)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.585466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f09f0ad-5b7c-424f-8e90-d3a00da170d0 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.664743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96c24d54-18fe-4fb9-bd50-641576ba8094 · outbound

This paper cites In: Proceedings of the 2023 ACM Conference on Information Technology for Social Good.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: Proceedings of the 2023 ACM Conference on Information Technology for Social Good

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.569239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 385e15be-b972-4650-b54f-e273cf1beab9 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks On the Opportunities and Risks of Foundation Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.679976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7cf490a-f61b-4241-b299-4f411e8b304d · outbound

This paper cites Journal of Educational Data Mining5(1), 104–146 (2013).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Journal of Educational Data Mining5(1), 104–146 (2013)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.551818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3dffb38-a3d5-4c07-bf2a-a16aab747168 · outbound

This paper cites Advances in neural information processing systems33, 1877–1901 (2020).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Advances in neural information processing systems33, 1877–1901 (2020)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.690861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 033ba9cf-d177-4c3a-a60f-76145672ce5a · outbound

This paper cites Journal of behavioral decision making33(2), 220– 239 (2020).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Journal of behavioral decision making33(2), 220– 239 (2020)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.523256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1987a853-bb8e-40d6-a5bc-1edff36c0992 · outbound

This paper cites Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.700462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30097351-5eab-4a31-a69c-4f3a34a4aa1a · outbound

This paper cites In: 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.507718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 488fcc92-8dc3-4e1c-89ae-3a1a7ec94f47 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Unleashing the potential of prompt engineering for large language models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.710271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49dadeb-b7ef-4944-b666-557f32cd98cb · outbound

This paper cites Computers in Human Behavior 161, 108411 (2024).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Computers in Human Behavior 161, 108411 (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.492278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd508530-c542-4fdd-ab1b-ba785292a27c · outbound

This paper cites Journal of Experimental Psychology: Gen- eral 144(1), 114 (2015).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Journal of Experimental Psychology: Gen- eral 144(1), 114 (2015)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.476133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 080789ac-af80-4421-846d-a1b5496576a0 · outbound

This paper cites Intelligent tutoring systems in e-learning environments: Design, implemen- tation and evaluation pp.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Intelligent tutoring systems in e-learning environments: Design, implemen- tation and evaluation pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.460630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8618bf58-8fb5-40dd-a88a-dc7c96581efe · outbound

This paper cites Human and GPT-4 Social Engineering Attacks 17 In: Intelligent Tutoring Systems: 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Human and GPT-4 Social Engineering Attacks 17 In: Intelligent Tutoring Systems: 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.444740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bf6f43f2-97a9-4553-8397-ff93aef42b4c · outbound

This paper cites In: Proceedings of the 22nd ACM SIGSAC conference on computer and communications security.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: Proceedings of the 22nd ACM SIGSAC conference on computer and communications security

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.428299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2b82e62-569a-4578-b789-cefe7042fd57 · outbound

This paper cites Cognitive Science27(4), 591–635 (2003).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Cognitive Science27(4), 591–635 (2003)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.413053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a66fd31e-55bc-41e0-a1b0-c0a32abb7a80 · outbound

This paper cites IEEE Access (2023).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks IEEE Access (2023)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.397229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 337e88b1-14b5-45e7-ad4b-644785c87766 · outbound

This paper cites In: 2016 international conference on computing, communi- cation and automation (ICCCA).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: 2016 international conference on computing, communi- cation and automation (ICCCA)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.381671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f53bdfe3-5bc2-4248-9484-e9f6e8df8c8f · outbound

This paper cites a comparative literature review.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks a comparative literature review

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.364856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59759e2e-e5e9-46a1-9901-058b8a215126 · outbound

This paper cites In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.348868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f69f5ba-84ce-4668-95e2-02184334db86 · outbound

This paper cites Computers in human behavior114, 106553 (2021).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Computers in human behavior114, 106553 (2021)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.333644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4182dbb4-605b-4697-9d00-4235e14b56c8 · outbound

This paper cites ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection.

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 5a7368f9-3cd2-407b-a5fb-7a0e6b7d2f2e · outbound

This paper cites Certifying LLM Safety against Adversarial Prompting.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Certifying LLM Safety against Adversarial Prompting

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.773175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48f561bb-7b54-4d5e-ace7-3ac2d536f4c6 · outbound

This paper cites In: Proceedings of the 5th Symposium on Usable Privacy and Security.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: Proceedings of the 5th Symposium on Usable Privacy and Security

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.317285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8854ccfe-28d4-4cef-b646-b675d1cdb48d · outbound

This paper cites In: Proceedings of the Third International Workshop on Automated Program Repair.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: Proceedings of the Third International Workshop on Automated Program Repair

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.301815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e0f7dfc-70f0-45d1-98ae-2e19ce83e7cc · outbound

This paper cites Technolog- ical Forecasting and Social Change175, 121390 (2022).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Technolog- ical Forecasting and Social Change175, 121390 (2022)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.285936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8c02c965-d501-41da-9bcd-389b18e9f981 · outbound

This paper cites Proceedings of the Conference on Natural Language Learning (2024).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Proceedings of the Conference on Natural Language Learning (2024)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.270336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a983f723-1e83-4a25-866e-a3f8306bd2c4 · outbound

This paper cites Frontiers in Psychology15, 1387948 (2024).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Frontiers in Psychology15, 1387948 (2024)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.254833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 757c7b7c-9d5c-4de6-889a-54f539b63b13 · outbound

This paper cites Psychological review (2024).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Psychological review (2024)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.239338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e6cb8d0f-8db2-4cf0-bcbd-02e09dbb12df · outbound

This paper cites In: Proceedings of the AAAI Symposium Series.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: Proceedings of the AAAI Symposium Series

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.224396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1258f578-c8ce-4c5f-9f94-b9c7044fd880 · outbound

This paper cites Patterns5(5) (2024).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Patterns5(5) (2024)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.208551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f3970286-ec33-40a6-b54a-5848902a8235 · outbound

This paper cites Psychonomic bulletin & review14, 249–255 (2007) 18 Malloy et al.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Psychonomic bulletin & review14, 249–255 (2007) 18 Malloy et al

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.192397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1095fb6-1c68-4768-b177-c0b91fdd6380 · outbound

This paper cites Artificial Intelligence Review57(12), 1–23 (2024).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Artificial Intelligence Review57(12), 1–23 (2024)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.175157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71a932bc-d8c0-4e85-9431-0b70b1167f63 · outbound

This paper cites Neural com- putation 35(3), 309–342 (2023).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Neural com- putation 35(3), 309–342 (2023)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.158167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd86e34d-5d60-4565-b551-8519c75286b7 · outbound

This paper cites In: 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks In: 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.140806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 036a9275-b754-4a26-86fc-49a4512318b7 · outbound

This paper cites Computers & Security127, 103105 (2023).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Computers & Security127, 103105 (2023)

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.123071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6d2070c6-2305-4951-8fe8-19e731eb5d4a · outbound

This paper cites MIT Press (2022).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks MIT Press (2022)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.107286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a2098cf-8dce-4cb3-b63f-867da86b8026 · outbound

This paper cites Journal of Educational Computing Research59(6), 1169–1183 (2021).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Journal of Educational Computing Research59(6), 1169–1183 (2021)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.090679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ec51cbb-5686-4f1e-9360-d505ff0e8e4b · outbound

This paper cites hack: engaging anti-phishing training through a role-playing phishing simulation game.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks hack: engaging anti-phishing training through a role-playing phishing simulation game

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.074772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff5eeceb-e3a5-4cc8-b27b-47971be28870 · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.856506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2afb76b2-04c4-4f72-8ab5-6b311b2b2dab · outbound

This paper cites Morgan Kaufmann (2010).

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Morgan Kaufmann (2010)

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T14:37:40.057733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 36b40feb-ec20-4bdd-adc3-04dc6e1d35af · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Training Users Against Human and GPT-4 Generated Social Engineering Attacks Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T14:37:39.866101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation a6a66f18-3a55-48ba-95ca-037409c02f7c · inbound

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing cites this paper.

SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing Training Users Against Human and GPT-4 Generated Social Engineering Attacks

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:01:51.433263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.