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Paper Citation Record · LEDGER

Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction

As of 21 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.

pith.paper-citation-record.v1
2608.10239 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:19.394520Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.147198Z digest=sha256:60e68ff28733142bddd59f42e6dc397d65e8284ffcfa035fa3a39d8b93598f0f

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.

source=arxiv_source observed=2026-08-14T04:15:19.154578Z digest=sha256:1ae1dd8c65f6d9928aebb312a47844e17cf47a1cf648ea869e6e543f3b9cb6d4

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.159611Z digest=sha256:e87e3999382dc060dc28f0a3316063a95438df9a92328faf5f6ce825b622bd44

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.164197Z digest=sha256:80131bdab2e493a65493082a07efeb56342f18154aa799450a7cbf23e96eea6c

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.169057Z digest=sha256:17ef60f0e089ba208cf34a52dc329c81a21ddf77d8fb3a94b63ecf9ac1fbfddb

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.173781Z digest=sha256:4c10e665a1e5d6aac06fd1e4453ebaac6468a5545e1d386bbe7ed4a00521928d

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.178905Z digest=sha256:1ce379916587fcfe9d6e5c74c7aebf5a35adaf52201980fb14a50630330ff467

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.183450Z digest=sha256:7e79275a43f2b05b1ff77b3889e8f1a62f819611f79b2d650f0e13c888a6b793

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.188406Z digest=sha256:b0c8cfd714c4fd04afba5f7a3b483c309f7fb86030c06a0d37153142db7cfe92

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.193540Z digest=sha256:e8b1d578e77c400517e24809f2e6681c3e35a9029326f24f5d1670de9d1a60c9

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.199433Z digest=sha256:6d08a330e9b1e197073ab17dd65641bea8be76d3a626d5a0bc0ce555cc608710

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.204798Z digest=sha256:f33e0c60b413527a303a4b2717a34543d830b251ac38d9a71debc97ddf0f2f01

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.210079Z digest=sha256:77e76e6c6813248473dc5b0a964c08b4e7afe0b953cf082d50af09f6b55b4107

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.

source=arxiv_source observed=2026-08-14T04:15:19.215278Z digest=sha256:49f683ba5c94e9bcc6eb76cc18643d3a2b9a9580504e37ef0e0c9de88734e671

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.

source=arxiv_source observed=2026-08-14T04:15:19.220108Z digest=sha256:705fe79d90e895ddc6c8058da936c2eeefc85d64f87c1f4f314c17922726eb18

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.

source=arxiv_source observed=2026-08-14T04:15:19.224927Z digest=sha256:73aeeecd815a304eae4c7a9876ffbe560e73494e0b3c9839be7b735a544d5c57

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.230113Z digest=sha256:98f3757eab035da96895c32783e38271cff9a7f42b9897196140a9a08022239f

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.

source=arxiv_source observed=2026-08-14T04:15:19.235306Z digest=sha256:8bdd7f1bd1126f35161230f2339c1cd3c78b420d468440346725e7be7f5a27ea

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.240481Z digest=sha256:f7b43a58eafa173de38c2720785d8cb50a12e66ea781fad6be1e814274ab81a4

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.244721Z digest=sha256:20788d153bbbf0649afacbae99b52a66183351f1f6c3fc6d8f4fde7f005f553f

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.254026Z digest=sha256:d23cc4fe9f0d48c68d38db7fbe273b2301b94c08434a770932c211756d04d534

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.259989Z digest=sha256:0dd1598157ef89b7fdf7d8c97f17de4c798ee6d45b98158fea771ef64bcab623

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.264619Z digest=sha256:c3b5b6cb2c02e8aa5a851e12f663f0f7207a86848f73c474041110f7995e0a74

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.268929Z digest=sha256:8ff9b0e0c1943710ebe54ccf897c54288a0545d5f2df93e86da9d333e4a9758d

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.274086Z digest=sha256:6116095f067fae4d3baca7a82c444fa656de6b47446ad4dbad3378ffd1ae9757

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.279046Z digest=sha256:b821776d3eafdeef7cb7741df1c84c04570e47d2586902fdb527b3352a44485c

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.284559Z digest=sha256:5d865dd04c2ec73d00f0a65cde24d29d9a13b018f8125f977f06dd05ca944c5e

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.289276Z digest=sha256:8d3a8f554feaa9abc3a445b8fb066107229990207006c034ba2384b3b17a8bc8

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.294092Z digest=sha256:5b29dba189aa36d32e4add1ce958be931155bc8dc71c963c3445f56f30130726

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.299377Z digest=sha256:e1aa6deabc58a6676b42699ef9fd576837d8ecdd4aadc172c20523ac6a95840b

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.303998Z digest=sha256:0b79b3f9e9c017a997d12e4dfeb78f3ae05b77ebe07172e9e1180b526d117ff5

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.308924Z digest=sha256:d25bcb806e2c77965207798349bed3e45744f4ce1a5ac6131961c70066e34510

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.

source=arxiv_source observed=2026-08-14T04:15:19.314470Z digest=sha256:22bbc1bfcca45cc4cdbee6f9ce8c2660535cc09474f3364ddc8c89456fb62a71

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.320001Z digest=sha256:3c2dfb6353afdc7bd6677388322c1317fecb197c4b0b437c646c2c9022fcd018

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.

source=arxiv_source observed=2026-08-14T04:15:19.325154Z digest=sha256:ed41f8416c396df2c75850bcdd839ef8e60a3065cd5c08bb164d40511cf69387

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.330020Z digest=sha256:e575f23c2d0f911216a40e9426aa0154e29b0eae490155930cf2e17370d30087

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.

source=arxiv_source observed=2026-08-14T04:15:19.335440Z digest=sha256:a01cff33dddcc87f3c2036a4fbc2ddaca6b329332a7e33a7b2c5c3f36f2e4744

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.340751Z digest=sha256:0983c72e2d764d8a5028de93013cda4ad989293020da6832661e4eabbd8437ba

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.345779Z digest=sha256:fc6addfad19410109637e38cdf0a3f7d170cf348877e3d92859f870b2da4ac3e

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.351345Z digest=sha256:86c9f37e07145a68a5f2071153cdc9faa8f783e6a45ccc0b01ab23d9a3d2f53b

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.356254Z digest=sha256:6147b4514299a28f68e47fbe3effbc38af63fb5e8c3a1cb9779496d1edd47799

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.360994Z digest=sha256:6f5153ba0c5d094bc90d55aaca583cafd2987f259414b1ec1ef1a9dfcecdd7a2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.366769Z digest=sha256:e99f42631429338873f1d73a65d1d979472b0b7268b2467016b05fc3fcb3bdd9

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.371503Z digest=sha256:a172ac5dcfa13448284308806af949b35da5cb765fe99ac27e764a3d2fcb5e71

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.376374Z digest=sha256:21df7fcf4d4a8f514bdecebef1720657544359bbd24c50be51d4f45bcdae25e5

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.380760Z digest=sha256:fbd556f375bedd0939dacab262d167e69c0034dee8a61e361552be7590431437

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.385209Z digest=sha256:9dbe564d4ab4067392e376c054d0a8d6498c7369928ba221ee9047eb404cf00a

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-14T04:15:19.389786Z digest=sha256:9565d3ca1fe3f97a865ed7fa57cf3efd3bcb6039cf23e0f88af4016ab9fb1dba

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

Resolution
unresolved
no resolver link, observed 2026-08-14T04:15:19.394520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:15:19.394520Z digest=sha256:d6b9068cc8ff7dfdaf46988ca451df5bfd7a2dc6d9894e0fe6bf19ee9ed99604

Pith citing papers

No inbound Pith citation observations are available.