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Paper Citation Record · LEDGER

Evaluating AI Models' Capability to Automate Voice Phishing Attacks

As of 20 August 2026, this Paper Citation Record lists 100 of 101 outbound references and 0 inbound Pith citation observations for arXiv:2607.09970.

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

pith.paper-citation-record.v1
2607.09970 v1

Coverage vector

measured 100 of 101 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T14:15:11.793858Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

100 of 101 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved96
  • parse uncertain2
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57274577-d8c0-43a3-8f63-88b22de56487 · outbound

This paper cites Frontiers in Computer Science , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Frontiers in Computer Science , volume=

Reference 1

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d7d345a0384d89e0407bad95e03454f3df7fbb5f4cd144e14ffdc867fb4ca38d

Observation 22c349b1-79c2-4512-813e-4f87473f365b · outbound

This paper cites 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 , pages=

Reference 2

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:8d2f385547ecbfbf344caa7c5714ca1abba94ae26a6f0278381254e8f4f7b1a7

Observation 0cfe3c36-e0c2-4a4f-b599-b129697a06ef · outbound

This paper cites 2024 , eprint=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , eprint=

Reference 3

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:896d03578ac53b6c3ceedb2d76964f9936f0ac77db97761a27ff5588935cb450

Observation f314488b-ab18-4d82-92e7-e3b6ff5e19d3 · outbound

This paper cites 2003 , publisher=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2003 , publisher=

Reference 4

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:df1ed6d8d7d387f368246a7ec7d720b2d8f647cbb59e803383ac28a24757b99c

Observation 2fb3a78e-ce79-40bd-a187-ab26b715aa41 · outbound

This paper cites Proceedings of the SIGCHI conference on human factors in computing systems , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Proceedings of the SIGCHI conference on human factors in computing systems , pages=

Reference 5

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:540c5c628e3b125488a2b1d700019359ecadd7a4736b955b6c27bda81daed413

Observation 50a0e873-9b15-4edc-afcc-d26460dd6aae · outbound

This paper cites Computers & Security , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Computers & Security , volume=

Reference 6

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no resolver link, observed 2026-07-14T14:15:11.793858Z

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:ab11661679bdd7887be7125b47cd2fdc75b847e1078fd982fbff489625c6b5bc

Observation 3ad51a35-ea30-4f4e-96bd-cc680d113a86 · outbound

This paper cites Computers in Human Behavior , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Computers in Human Behavior , pages=

Reference 7

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:a12ecc39b9c1dfb62628c348bf59a539a3cc59f5f974b858b42a77045807207d

Observation 4062e596-ffe8-43ba-9632-85be77e6e181 · outbound

This paper cites Computer Speech & Language , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Computer Speech & Language , volume=

Reference 8

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:8b89290fd41525d15938a2fb3342b40652aff8bf6a45a40c934e68a1df5adbde

Observation 9d81618e-a862-494e-9886-2dfb90008f32 · outbound

This paper cites Engineering Proceedings , VOLUME =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Engineering Proceedings , VOLUME =

Reference 9

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:a6b86796c3aec9837906493fa9458834b6c0f40736f6386288e3cac5392fa26a

Observation 31260532-aac5-437a-afa4-9573d0b3b098 · outbound

This paper cites Scientific Reports , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Scientific Reports , volume=

Reference 10

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:541471c6354e1086eab559cdd06a5fe0210ea7d4238e777ef3716b07a66e297c

Observation 425c5912-e44c-4ce7-afb2-3e2929b40da0 · outbound

This paper cites 2020 , isbn =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2020 , isbn =

Reference 11

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:76bbce2fd3df913b7325e92ed537a4c8421230d1fe26e20bde1fe5d6041196ae

Observation 30674e71-557d-4ace-b227-12bccc1ca3c1 · outbound

This paper cites LLMs unlock new paths to monetizing exploits , note =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks LLMs unlock new paths to monetizing exploits , note =

Reference 12

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:af0ed8b1bb9bfb323d014accfd0bafcc791a1028c8713f7be34c2f82ef4a1911

Observation 8b8e2ded-5a36-47b7-8d1c-b249fc9d7bd6 · outbound

This paper cites Computers & Security , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Computers & Security , volume=

Reference 13

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c319a56024213a0dcc8b1c6229d8396bcb8435ff8dc3cad80f80eee956d0421b

Observation 787382eb-dd4a-4e33-b937-bd24448e1e5b · outbound

This paper cites Artificial Intelligence Review , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Artificial Intelligence Review , volume=

Reference 14

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c8614d92db2f8526fc40e63dfd07317aae7c07ebb26d5070a732a59f5d59ef0e

Observation 45ac3565-aa37-493e-a1be-f7e4782f0f23 · outbound

This paper cites Datenbank-Spektrum , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Datenbank-Spektrum , volume=

Reference 15

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:a74111f786d51a0c81590e800aa7222a03b2ad8b59c54b8a461c453800d92fb7

Observation 13dea639-b241-4a32-b209-dfabf6df1b94 · outbound

This paper cites Proceedings of the 6th ACM Conference on Conversational User Interfaces , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Proceedings of the 6th ACM Conference on Conversational User Interfaces , pages=

Reference 16

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d23a6ec092989c7f5632befb1d7469a60d4123a72febc0a25fbfd11f4b7d56df

Observation c8a5cbbb-1b0e-4d68-8784-fa15d5b0c606 · outbound

This paper cites Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Talking Like a Phisher: LLM-Based Attacks on Voice Phishing Classifiers

Reference 17

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:cd8919d222fb1e963e6107e6492d8d46cea34a32f1c161fa5dd414e215e0841f

Observation db5afa2c-5d85-424a-a2ec-94e4487b80c1 · outbound

This paper cites , author=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks , author=

Reference 18

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:72ee57a4dcc3f4d82876370d36363eb058cb9c9df132a792a4acc2451c8df4ca

Observation fb8e025a-1e67-4465-8944-fa3c2838cb6a · outbound

This paper cites PloS one , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks PloS one , volume=

Reference 19

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:5c595526133a6da4afdb84321147feb23fd82d4cc8b6647c9f0e1ba89542fb77

Observation 33cab615-947d-4278-95e1-d7d09dea78f0 · outbound

This paper cites PloS one , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks PloS one , volume=

Reference 20

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:731d98bf285afdc8ef15f58cb5a206d3876ce5f8c0dff3122dcb6793eba67b1f

Observation 2d0a4673-abb5-49fa-ac5b-bcde5e663132 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:94ac64080ad27c29a6d1c394526b561cb1adba73be8c5d9b59aa39990fdeb0de

Observation e8e9f899-5c0a-4fa6-964e-1ea7f2fba927 · outbound

This paper cites IEEE Access , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks IEEE Access , volume=

Reference 22

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:032b264f76aeebe1c58fe8845b076711a3277fa9f0aaec0b1c386e310c1dc316

Observation 1a0e7af1-209c-43de-b59a-a37bb2ad1d11 · outbound

This paper cites 2007 , publisher=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2007 , publisher=

Reference 23

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:1490046b7936e10169c1e54704b6b780049677774f57b999d5ce5998b513336b

Observation bc4d02aa-cb44-4752-9b9b-ce0a7c5e8107 · outbound

This paper cites Sounds Vishy: Automating Vishing Attacks with AI-Powered Systems , year =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Sounds Vishy: Automating Vishing Attacks with AI-Powered Systems , year =

Reference 24

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:ad8cb2e83102e4928709291e84cdf40e3b7b314ecc1ad35fa4325417f8149be5

Observation 99bf9144-bda7-412a-a2a8-98cd22d4ee8d · outbound

This paper cites On the Feasibility of Fully AI-automated Vishing Attacks.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks On the Feasibility of Fully AI-automated Vishing Attacks

Reference 25

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:82c953e99b496132390dd86d34f20970dd81e323fa5f41d252618b45e26b4f13

Observation e7b8ea9b-2568-48e9-85a9-60b04326bc8e · outbound

This paper cites 2020 , url =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2020 , url =

Reference 26

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:ba951f2aa8312f490e9c9a007a81362a2b4deaed92927d24e6d832a604dddab3

Observation 12a92a5a-c3fd-4c9c-807e-32d8db540d99 · outbound

This paper cites 2024 , url =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , url =

Reference 27

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parse uncertain
no resolver link, observed 2026-07-14T14:15:11.793858Z

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:7c836edc23b2e95bd3151e704bdc5c7cf1491de6080a6d6e25537b15432410b7

Observation bf9d4875-ddcf-4627-8d84-1392aefe6f8e · outbound

This paper cites 2025 , url =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2025 , url =

Reference 28

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:70a8292bcd4d46fffcbe705d4694b2f151bbbe48e66166542f41856254279b65

Observation bf272981-dc20-4245-9b70-c1dbe32952ef · outbound

This paper cites 2024 , url =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , url =

Reference 29

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:e08b521d4d4f40f2af5d3c3dc786f732743bc39e054df87ab6620e295ba1b7d7

Observation 6cea9ac4-0761-4fac-b97d-ca46f67adb66 · outbound

This paper cites Marketing Letters , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Marketing Letters , volume=

Reference 30

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:f6187d64ae7cc7a320107d1f72f024b320d769960e34e61c7a4953378537df76

Observation 5fe02183-7f27-4036-8b7f-58c6ec8d70bd · outbound

This paper cites Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling , editor =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling , editor =

Reference 31

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:1542ce9630c64575fbb19aa45993ba3e09683710b837b8e4ac5dd2d67a8e4b6e

Observation 0b8adbf8-487b-49f5-84be-1d618fbb2d2f · outbound

This paper cites Mathematical Methods of Statistics , publisher =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Mathematical Methods of Statistics , publisher =

Reference 32

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:e276bc9f787b2ccee9fba3e9fd36a63770f75088994fae8b379131337b63f5a6

Observation 209c5319-7555-4d75-a76a-95424e01d928 · outbound

This paper cites 2022 , publisher=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2022 , publisher=

Reference 33

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:9e2d3068116cf9648ed4085d9f13e0f88b04f041fc28c098966d03b728b324e0

Observation 7a0e6376-fac2-4145-9e7e-0c703094f600 · outbound

This paper cites ACM Transactions on Computer-Human Interaction , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks ACM Transactions on Computer-Human Interaction , volume=

Reference 34

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:72173c7883e01f9a38834feed9d8c7a4280ef694f7c5373ddf81aa82cc3d3f3b

Observation e42457df-079a-4e66-8677-b93280cfee4d · outbound

This paper cites 2024 , url =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , url =

Reference 35

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verified exact
doi, observed 2026-07-14T14:20:33.870812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:52c76fd70b900ea446b8428e67ace888824a39031a417652ad8dd9590e12795f

Observation 3d28e6fa-c339-41b4-b38c-36395d548953 · outbound

This paper cites ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks ShiftySpeech: A Large-Scale Synthetic Speech Dataset with Distribution Shifts

Reference 36

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d24ae1222cac60d2434cb34b7fceadd7c727bc14d7f78e97d621552750a29f6e

Observation 9b180512-e577-4b9d-a0df-c0bb2994c76f · outbound

This paper cites Journal of Language and Social Psychology , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Journal of Language and Social Psychology , volume=

Reference 37

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:8bc342175d8a5241e720f695efe8b6ca2217386186c79799af147aca742104f9

Observation 1c63840d-27c4-4f3c-bc7e-1d13682d74a0 · outbound

This paper cites 2022 IEEE International Workshop on Information Forensics and Security (WIFS) , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2022 IEEE International Workshop on Information Forensics and Security (WIFS) , pages=

Reference 38

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:06152f8eb5d3a4c7e09d274aad158f571cbc76104c70e87421129238782644d5

Observation 574f6a49-5d91-4018-a77a-25bd5174031b · outbound

This paper cites Sensors , VOLUME =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Sensors , VOLUME =

Reference 39

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:70d2cef2b8534910ac74dd91ceed05749f9a9e113472d55eb962cac37fde4e2f

Observation 3f68dfdc-3b30-4e26-9d2d-2743252cb324 · outbound

This paper cites Plos one , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Plos one , volume=

Reference 40

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:6d39f5fc75254d2276715616308988aca28e18f8144cce34ea8d49d18fda7843

Observation 92c1bf70-fbd5-40ff-9734-c30625297e1b · outbound

This paper cites , title =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks , title =

Reference 41

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:671a43c0c82108065051134ced3ea742395d0804d2a23a1ff827ba02213f654c

Observation 54228cc4-796c-4b98-9dc7-9baf3d3602c8 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:71c9f7ef98176a3d926fc0f99aa1bfb7a1d0b598ee9c8af3bd11ac56f377db6b

Observation 378a9d8d-e97c-4092-b7cd-d5dfbd2f1a35 · outbound

This paper cites , title =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks , title =

Reference 43

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:0c5f8945ae6c7f9814bc04feab1025bbcfcaf5b5a09f9271039cc9656b63da1f

Observation bacd020b-8bbc-4eeb-a935-987eb9779c38 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:9bee96e534e45213fc279cf0b07e95f7180f07645c74ad2394c6216865919894

Observation eff73292-2c10-4f01-ac07-141104033bbe · outbound

This paper cites Evaluating large language models’ ability to automate spear phishing , journal =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Evaluating large language models’ ability to automate spear phishing , journal =

Reference 45

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verified exact
arxiv_id, observed 2026-07-14T14:20:33.877152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:616fa701030e4d8886212c6f0e3847e22f762f5a685f05dc896f74b6ef20aa1d

Observation d860465a-3f53-4e95-ac6d-e3b1ea95f75c · outbound

This paper cites The Guardian , year =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks The Guardian , year =

Reference 46

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:43321b2c84ce67929be00214804aed8431609a573bc01647e85f5a8adc01d591

Observation 3df7425d-1b1d-4f47-83ca-fd94d72998ef · outbound

This paper cites 2023 IEEE Symposium on Security and Privacy (SP) , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2023 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 47

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:5c574bc907a3835f40e7f5a4a6c2c465278aeeab62fff80653c63d8266f655d0

Observation b062a5bd-2d3e-4845-a4f1-764c29f1d8f1 · outbound

This paper cites 28th USENIX Security Symposium (USENIX Security 19) , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 28th USENIX Security Symposium (USENIX Security 19) , pages=

Reference 48

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c139ea2fe7557594cd318c7f187a617bba29bf10673922b65759182450226bb9

Observation d6b1bf5f-34c9-4bfe-96ef-d76b5b518a4e · outbound

This paper cites Government Accountability Office , title =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Government Accountability Office , title =

Reference 49

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:224c398f24566a737cbb91454d7764c3ab875826395325e3ad1f59b38726e014

Observation f72ffa29-5675-4453-9408-b9fb1c0b2d77 · outbound

This paper cites Psychology, Crime & Law , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Psychology, Crime & Law , pages=

Reference 50

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:3d841aaf85ae68703b44ffea4f123b7d931f9d8175b8725d28e423c56905252f

Observation 159982ed-6b19-4ff3-84d5-4c3e1684d0fb · outbound

This paper cites Spam & Scam Report 2024 , author =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Spam & Scam Report 2024 , author =

Reference 51

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:f8140967fe8f899a5f8bf4142bea3bc42c3cded68806d98bb4b6ed2510920d85

Observation a492914a-7c1a-455d-a1c3-3ab166de2d0d · outbound

This paper cites 2024 , month = may, note =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , month = may, note =

Reference 52

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c0b951d16d7694ce3e2c8b7b5666aeb72f3f9a0f7c46580bf9aa4801b8842b8d

Observation d5b85cb1-42db-4334-8279-5e7934bea1db · outbound

This paper cites The Guardian , year =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks The Guardian , year =

Reference 53

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c01e022a325fdb1938e92f4ea1eaa60a921e9dae37fcdc97cfa2ed5bd4f97091

Observation b3133507-d2f9-41a2-ac9b-7c30560b9078 · outbound

This paper cites 2024 , date =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , date =

Reference 54

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d01f1a8d5f44a8a6049c19af45bed897f2e87414225e22b919f2b155673e2daa

Observation 9a67d7a0-5f61-45cf-af91-0f094db9ba6f · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 55

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:a6cbd8a8d7525e22db7bfe73a8176e0cc22f4bc957963057cf228b14dd3164b3

Observation 03789a91-5167-4f8b-93a5-5e4dc7fdaa73 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 56

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parse uncertain
no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c4ae7c6b2d5c7dbc4daf213bd5a1096b377e1d280f308b72da2ee931e034ba15

Observation a7208b2a-8e48-4e84-a2b7-c50326ff9c4d · outbound

This paper cites , title =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks , title =

Reference 57

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:e99fdb2d7f443ac1b91b62b29833a0fcd50bf0f6ee8764623b8b7622ed480af1

Observation 15490ec9-704d-4896-bfcb-acb8a896cfc3 · outbound

This paper cites Archives of Psychology , year =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Archives of Psychology , year =

Reference 58

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c93f410b739bc88655f342e6ecf93c8351737d77707c283e72c5591c3d85b3d2

Observation e3b78e1a-1c27-4a6e-8900-e8e849ff44d8 · outbound

This paper cites Biometrika , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Biometrika , volume=

Reference 59

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:9fcabdcdaec7a5475e00f5833824c7bdd1184370f8224c5fe0442eb63d125fa4

Observation b6da2d53-00b5-4e0f-8fc3-baee21944624 · outbound

This paper cites , title =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks , title =

Reference 60

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:0a2295b3c83fe44f8452a957537f6c85c2f15763cf3f7d8bb82ab234a4997144

Observation aa79bcd5-8c13-4380-9f1d-e4d78a8321e1 · outbound

This paper cites , title =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks , title =

Reference 61

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no resolver link, observed 2026-07-14T14:15:11.793858Z

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:247af9a8567d0cbd08fa614d54d15eb18c09b402a5eda0a318c13dec8b77d4f4

Observation c6fb9d3c-547e-42e9-b78c-454d3812353c · outbound

This paper cites 2024 , publisher=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , publisher=

Reference 62

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d54765fe004b32441f6e1c7c1eb6e2268f719aad16a2fd2836f1acae836b16cd

Observation 2d2ed299-2848-479d-82d8-8abb0e7d12f9 · outbound

This paper cites 1996 , publisher=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 1996 , publisher=

Reference 63

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no resolver link, observed 2026-07-14T14:15:11.793858Z

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d4ae6af52a1cc7ecaac65b95dc58ac709f8d3bb27b8c5cf4ebe9a0d3b3b925cf

Observation 47fcc8ed-484b-45d2-bbe4-fcff1ab28cf8 · outbound

This paper cites 2025 , date =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2025 , date =

Reference 64

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no resolver link, observed 2026-07-14T14:15:11.793858Z

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d452b002e3b331869e94de1b941d8c112c746923a8913182b69b40b0cd837fb6

Observation 7b681a67-d93c-45de-906a-acd784d979c6 · outbound

This paper cites Allen , title =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Allen , title =

Reference 65

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no resolver link, observed 2026-07-14T14:15:11.793858Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d969374d2226bef3b993b22a83e12ded7421b04cb59c9e5fcceaaede539eef69

Observation 2add08af-69ea-40df-b73c-e64749b5cc7a · outbound

This paper cites 2024 , month =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , month =

Reference 66

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:4a75380ce5ffac0a37a3b0f94df6c0aca8ae66eadde1990d43726db3a544f608

Observation 16d51db7-1922-4ccb-ac63-2221667d5fde · outbound

This paper cites 2024 , url =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , url =

Reference 67

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:24242dad34e703fc7fe4fed9f191d8a9676cd9c1cb10f4532c0940e5e17aa70e

Observation 65c1325b-db0a-421c-b56a-d7a1b46d3c28 · outbound

This paper cites 2025 , date =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2025 , date =

Reference 68

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:52ee3915b5637e1df321c3fa4f7bc779df8ea96e41a24511a22536f34a401cc7

Observation 81986c31-8883-4c3b-8957-7386df00774e · outbound

This paper cites interview study of how and why mobile phone users judge text messages to be real or fake , author=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks interview study of how and why mobile phone users judge text messages to be real or fake , author=

Reference 69

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:735ce2d32cfd56938d244643996aaeeb5e2efde89e06cc5a22455e0fc9260baa

Observation f943618e-822c-47c1-aeb3-513e330edd18 · outbound

This paper cites Scientific Reports , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Scientific Reports , volume=

Reference 70

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:1c7b2b68c27fb5c96ba9c168b640d332a49b208478ed26b7f8eca5d91079a804

Observation 3e74c047-264d-4d88-8b10-bca6445ce47f · outbound

This paper cites Proceedings of the SIGCHI conference on Human Factors in computing systems , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Proceedings of the SIGCHI conference on Human Factors in computing systems , pages=

Reference 71

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:3672b27cc2cf5d63db7f88839d3b5bad09741bde13272123ace0b6adfec0f34d

Observation 13846f6c-92cb-4ecd-a0e6-2689d6a0aa4a · outbound

This paper cites Twenty-First Symposium on Usable Privacy and Security (SOUPS 2025) , year =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Twenty-First Symposium on Usable Privacy and Security (SOUPS 2025) , year =

Reference 72

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:7427d56451e5a6505c649f5eb3f7714bf18b4c31db907645e69b51257778ef3e

Observation 2a4f16f1-b923-4cc1-9fea-5b131969c53e · outbound

This paper cites 28th USENIX Security Symposium (USENIX Security 19) , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 28th USENIX Security Symposium (USENIX Security 19) , pages=

Reference 73

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:100d196f00d99e2f4f755ffbd35a0e3348976a9779d83e339ebc82c460f58300

Observation a5585e5c-dcde-4ea5-b5fb-ae9b8f1912c7 · outbound

This paper cites Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Proceedings of the 1st International Workshop on Deepfake Detection for Audio Multimedia , pages=

Reference 74

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:4fed4bba7b805e440e39944aff2798a5d92e36fb2d5cffa4374f93340a9b0b21

Observation 32b4e1e0-d888-4199-999e-cd7595baf87f · outbound

This paper cites 2024 IEEE Symposium on Security and Privacy (SP) , pages=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 IEEE Symposium on Security and Privacy (SP) , pages=

Reference 75

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no resolver link, observed 2026-07-14T14:15:11.793858Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:dfedde70373ca813020254b5542ee9d62e1a745e8c0f9d3ce0fe363897db5715

Observation 72e41c37-bdbd-4353-ab46-e9794ccacafd · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 76

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:1c190a6bb1e27662193ee9646fa3902b5c41dc014af9a676f0f85866356a2aa3

Observation fe33ca1c-5f63-4011-97a1-bf1a6590753a · outbound

This paper cites Interaction studies.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Interaction studies

Reference 77

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no resolver link, observed 2026-07-14T14:15:11.793858Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:fa2db8e47d2e8143880c0a12792329f97b9cd60b176841ccbabc1d2d42289a5e

Observation 5881f32f-6966-4faf-9228-94ad393bba74 · outbound

This paper cites Cognition , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Cognition , volume=

Reference 78

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:868de62988b9f1397745c45cd503fc5f1dbb9dff5d40441396bb762be8e20251

Observation 1db203e2-c7c0-4db3-aa12-0919699e46e2 · outbound

This paper cites 2024 , month = may, day =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , month = may, day =

Reference 79

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:30b05835692eaf1e3879ea3d3bfc7d68aa156d7c124ad43870e5fffbb3e74e97

Observation d5d7d091-04b9-4e0f-b3c5-54adab6d3164 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 80

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:5c74d2915a9692b6568fba5a6d8848c9e4ee4c23e690bfb901c4840536599784

Observation bc9d45ce-9ea1-4921-97ff-de6e0e5383f6 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 81

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Observation 6ea7ba47-079f-40ad-9454-01839bda2f86 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 82

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:b681fb0f53632363b142de597b6e23992b956fc847f9d7fee50c55e0d01db4e4

Observation 4b5fd2c8-3e7d-4307-ab0a-0fea5192e6e2 · outbound

This paper cites 2023 , publisher=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2023 , publisher=

Reference 83

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:b6bc678036533e0b40a05661bef06a6694fa08a3e0011b6fc0ade7bc15cf7d23

Observation 10baf259-e0f4-47d2-9dd6-28b60602ce7a · outbound

This paper cites 2024 , howpublished =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2024 , howpublished =

Reference 84

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:1ca8230050ef2d2afd5d53fe705016f3722940a0b232d44708594b45d3f053d2

Observation edbb3352-9d64-475c-8dbb-525b0c4a386a · outbound

This paper cites Psychometrika , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Psychometrika , volume=

Reference 85

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:7bfe338342854430c2dcd2357daaebbdae95e41b817e30f0784e6da166f6be0f

Observation 0886959e-5606-43d6-9f0e-1a9742e32cf9 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Methodological) , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Journal of the Royal Statistical Society: Series B (Methodological) , volume=

Reference 86

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:c4b77f9dfa3e678a2a437987f06800a33e859a6b4363b7ec3e9130a42944172b

Observation fbf1ac5d-fdb7-411d-88ef-82fd74a2efa5 · outbound

This paper cites Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents

Reference 87

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:e39814391fafec0470d59322efd20b0f9bb7e22b48b50493ecca3b304e2a9170

Observation 99a6594f-4f0a-488a-9e8a-82e2f6e098ae · outbound

This paper cites arXiv preprint , year =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks arXiv preprint , year =

Reference 88

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:13da4e43dabba6e5fd8880a8901d87eafbbdd5b44132763a2b5354e7ee2d9fb0

Observation 2632f42a-d013-4f01-a0ed-d7f7aee4dd63 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Gemini: A Family of Highly Capable Multimodal Models

Reference 89

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:009953e29629d486d768a5a6eea247b8d23a7cdb0176fae6e3a5c980a2b68633

Observation 2c071449-c7f8-4719-bb51-b4f1d64e5c96 · outbound

This paper cites and Black, William C.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks and Black, William C

Reference 90

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:f72be13461b78fb6c227c01fedb7ba7dbe291cbf8196f71069270e98b6331392

Observation b1785069-1046-4258-b221-71493bff29ed · outbound

This paper cites Field Methods , volume =.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Field Methods , volume =

Reference 91

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:a6a7fc573e54ad331a64123007bb57d232f5197a5e5a5bf282c81b834da11893

Observation cebea930-6909-4ae1-98fc-4823b0abc09f · outbound

This paper cites Qualitative research in psychology , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Qualitative research in psychology , volume=

Reference 92

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:47224d5005da0a29b9c696bf5331a20176b481921659a3b729d2e469bee7cfc1

Observation 4da87768-a418-4533-a888-30d41500b324 · outbound

This paper cites Human Factors , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Human Factors , volume=

Reference 93

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:037ab91d7d027eb75bbfa0b0c5291074b9d38b2570c376c422994d77f588a44a

Observation f1498b0e-b08a-4e53-a981-574f3085861b · outbound

This paper cites Information & Computer Security , volume=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Information & Computer Security , volume=

Reference 94

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:594bca3a6825c2f5e27844cbb8c1b83a0626d0299eca88cc095fec6dcfa9de81

Observation befa6603-b99d-4df1-947b-e2805739b8db · outbound

This paper cites Census Bureau , title=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Census Bureau , title=

Reference 95

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:35e281393e380b6ce889415f7ef966211047b0787def5289c07c94c31ee78e3b

Observation ad90fd7e-83d2-4622-a630-2b84d3d2dffb · outbound

This paper cites Census Bureau, U.S.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Census Bureau, U.S

Reference 96

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:9e4c995c9a9a17e30445d309c3457261d57c8ee07c4ad3dbae7c723624b117f7

Observation 9deead63-9aaf-4a04-a00e-7aa151c67e15 · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 97

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:d2ecce4b064957d066e6a469cbb12c56f9e58152a1e1c367734dfce8517d5d86

Observation 4e6673c9-2c52-4af2-bdf6-56868b5d0e4f · outbound

This paper cites an unresolved cited work.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks Unresolved cited work

Reference 98

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:f28893b6ae1835dcf0231048b7d33fe144d23006a5bad90277f514a866368ba0

Observation 6222d300-fd64-4bb0-a6de-e024a91e2109 · outbound

This paper cites 2026 , doi=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks 2026 , doi=

Reference 99

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:b1e7156a9b72fdd7e2346ffb3b05363ef6b490fdaf9d7af9c2e6eba84478cc33

Observation feb0c44f-1938-47c0-bb3d-78c33b99c346 · outbound

This paper cites arXiv preprint arXiv:2602.20061 , year=.

Evaluating AI Models' Capability to Automate Voice Phishing Attacks arXiv preprint arXiv:2602.20061 , year=

Reference 100

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source=arxiv_source observed=2026-07-14T14:15:11.793858Z digest=sha256:104b2676ac34a6234cd50076dbf2683d97811a1e2aaf7e41b19f2246ab94c368

Pith citing papers

No inbound Pith citation observations are available.