Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:19.394520Z
Paper Citation Record · LEDGER
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction
As of 23 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2608.10239.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
49 of 49 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved9
- parse uncertain1
- malformed identifier0
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ed818b09-211c-4326-aaab-c7dbac46b14c · outbound
This paper cites Defending Against Social Engineering Attacks in the Age of LLMs.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Defending Against Social Engineering Attacks in the Age of LLMs
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-14T04:15:19.637137Z
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 138d7e3f-28d4-4d60-bcc2-a2d2db7b873f · outbound
This paper cites Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.154578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 183a759c-3b2a-491d-8424-6851d26b02ae · outbound
This paper cites 2025 , eprint =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2025 , eprint =
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.279269Z
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 f41cc17d-80c3-45fa-bd99-f53655d5a405 · outbound
This paper cites Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , pages =
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.263671Z
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 771fe240-7502-4bd1-ae71-bcb06c26f887 · outbound
This paper cites Communications of the ACM , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Communications of the ACM , volume =
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.246515Z
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 04198c01-8346-44d3-b648-b4b7bceb68aa · outbound
This paper cites Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the SIGCHI Conference on Human Factors in Computing Systems , pages =
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.224026Z
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 98241c8b-dab8-4fdf-9915-51a19a8878d4 · outbound
This paper cites IEEE Access , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction IEEE Access , volume =
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.205030Z
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 da22bd32-1d37-44c6-96c3-f6e57ea9d483 · outbound
This paper cites 2024 , eprint =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2024 , eprint =
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.188035Z
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 7330eb83-7340-49c8-a209-4b85bd85c871 · outbound
This paper cites IEEE Access , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction IEEE Access , volume =
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.171589Z
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 21c2a65c-6e12-4f5c-b94f-0efeea3e2531 · outbound
This paper cites 2026 , eprint =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2026 , eprint =
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.156522Z
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 6b69d3b5-f5ee-4598-bb4e-2eceb07374e4 · outbound
This paper cites an unresolved cited work.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Unresolved cited work
Reference 11
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-14T04:15:20.141069Z
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 ae64b1e1-3ad9-4974-b2b6-b17096f88a0c · outbound
This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.117171Z
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 508d786c-a024-41e7-a8e3-ef9d41eb06e0 · outbound
This paper cites Proceedings of the 41st International Conference on Machine Learning , pages=.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the 41st International Conference on Machine Learning , pages=
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.095537Z
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 5e2d7840-b7e9-4082-8e54-24ec38079f95 · outbound
This paper cites International Conference on Learning Representations , year=.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction International Conference on Learning Representations , year=
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.215278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0a67841-a967-41a0-8f48-72a7a6e8778a · outbound
This paper cites Frontiers of Computer Science , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Frontiers of Computer Science , volume =
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.220108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f1f772d-a13c-45ae-9e86-4cbf5228af70 · outbound
This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction The Rise and Potential of Large Language Model Based Agents: A Survey
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.224927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83d3e9c8-cc6b-42bf-8c5e-0716d7565b97 · outbound
This paper cites International Conference on Learning Representations , year =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction International Conference on Learning Representations , year =
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.059855Z
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 07b29098-e2e2-48ba-992b-825bf61c488b · outbound
This paper cites arXiv preprint arXiv:2503.22458 , year =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction arXiv preprint arXiv:2503.22458 , year =
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.235306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d80de631-e7c2-4820-aa0a-6064e67248cf · outbound
This paper cites Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics , year =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics , year =
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.043238Z
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 096cac2b-4127-485b-ad40-3b61f0aec791 · outbound
This paper cites Artificial Intelligence Review , year=.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Artificial Intelligence Review , year=
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.021468Z
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 f4114f1e-ba9e-4068-875e-8208c66cb7f0 · outbound
This paper cites SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing
Reference 22
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-14T04:15:19.512990Z
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 5fcdc1ab-7df6-4e43-9902-abd50bebcd6e · outbound
This paper cites ACM Transactions on Internet Technology , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction ACM Transactions on Internet Technology , volume =
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:20.005077Z
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 51f93387-4f90-4911-8940-399c2758dcd0 · outbound
This paper cites 2003 , publisher =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2003 , publisher =
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.987696Z
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 933d2206-e6e4-4c12-94b9-3d60c757d8cb · outbound
This paper cites 2010 , publisher =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2010 , publisher =
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.972054Z
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 a6974190-c9ff-4682-8638-1c32e0a5864e · outbound
This paper cites 2014 Information Security for South Africa , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2014 Information Security for South Africa , pages =
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.956785Z
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 9d213e14-7f43-48a9-9554-6abc0c6593d5 · outbound
This paper cites Computers & Security , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Computers & Security , volume =
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.940998Z
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 bccda9b2-89f7-4551-8f2c-fae71932dfda · outbound
This paper cites Statistical Science , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Statistical Science , volume =
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.923450Z
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 d9bf9f4a-1dde-4272-82a2-a12740f5a743 · outbound
This paper cites Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security , pages =
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.899799Z
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 7aff8890-bd48-430d-bfbc-ea9376d2b4ce · outbound
This paper cites Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security , pages =
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.885205Z
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 23008dc0-3b73-4aea-9933-88bb42211689 · outbound
This paper cites Black Hat USA , year =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Black Hat USA , year =
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.871205Z
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 8f27e7b9-e598-4469-94f5-34f554239fae · outbound
This paper cites Proceedings of the National Academy of Sciences , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the National Academy of Sciences , volume =
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.857533Z
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 a5afcef6-ec42-4c09-94b9-5cadd14b56ba · outbound
This paper cites Workshop on the Economics of Information Security , year =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Workshop on the Economics of Information Security , year =
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.841120Z
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 c9f343dc-e46d-4a65-a5fe-27c22ff24ba6 · outbound
This paper cites Spear Phishing With Large Language Models.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Spear Phishing With Large Language Models
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.314470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66683ba7-70dd-4c53-8e18-d8c40b2fe52b · outbound
This paper cites Large Language Models in Cybersecurity: Threats, Exposure and Mitigation , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Large Language Models in Cybersecurity: Threats, Exposure and Mitigation , pages =
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.826152Z
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 b454bfaa-6800-4aa3-a00e-f3b49ace8e82 · outbound
This paper cites Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.325154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2063c6e2-c877-4414-95c8-fcb8b3dd2f87 · outbound
This paper cites Patterns , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Patterns , volume =
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.810320Z
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 709ead36-536e-4a3e-afef-3f20134b13b0 · outbound
This paper cites Can AI-Generated Text be Reliably Detected?.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Can AI-Generated Text be Reliably Detected?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.335440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2802e9cf-d349-4931-838c-21c8d5c45bfb · outbound
This paper cites Advances in Neural Information Processing Systems , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Advances in Neural Information Processing Systems , volume =
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.793319Z
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 c305dad9-7d3c-46bc-bf4a-d23465f00082 · outbound
This paper cites ACM Computing Surveys , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction ACM Computing Surveys , volume =
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.778583Z
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 c35d3a4f-477b-4840-b433-8eb9fa0113b0 · outbound
This paper cites Computer Vision and Image Understanding , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Computer Vision and Image Understanding , volume =
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.764618Z
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 ef02377f-6e3d-48ba-bf05-4f35fae06121 · outbound
This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.749598Z
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 d2b8a507-ef92-40f7-baea-1cdee540a6af · outbound
This paper cites Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages =
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.734635Z
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 0377dee3-3dbc-417e-9ef6-469ba7ae7b68 · outbound
This paper cites International Conference on Financial Cryptography and Data Security , pages =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction International Conference on Financial Cryptography and Data Security , pages =
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.717947Z
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 0a6b3e81-867b-4789-8636-e6d4094ee2f8 · outbound
This paper cites Journal of King Saud University - Computer and Information Sciences , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Journal of King Saud University - Computer and Information Sciences , volume =
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.701157Z
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 635f7422-2092-448f-a1f0-f19bd2f5567a · outbound
This paper cites 2016 , eprint =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2016 , eprint =
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.685559Z
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 f5f70c91-17b4-4b44-8484-f3e0fc5f19e8 · outbound
This paper cites 2024 , eprint =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction 2024 , eprint =
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.670097Z
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 7e02b060-1195-435d-857a-0ded1eaeda51 · outbound
This paper cites Do Users Focus on the Correct Cues to Differentiate Between Phishing and Genuine Emails?.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Do Users Focus on the Correct Cues to Differentiate Between Phishing and Genuine Emails?
Reference 48
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-14T04:15:19.461517Z
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 7578f0cf-4d06-4567-969e-8fc6faef80d5 · outbound
This paper cites SN Computer Science , volume =.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction SN Computer Science , volume =
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T04:15:19.654638Z
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 f06b83aa-5d62-499e-9903-18328321351f · outbound
This paper cites Improving Phishing Detection Via Psychological Trait Scoring.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Improving Phishing Detection Via Psychological Trait Scoring
Reference 50
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Pith citing papers
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