Paper Citation Record · LEDGER

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

As of 19 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 8 inbound Pith citation observations for arXiv:2507.10621.

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

pith.paper-citation-record.v1
2507.10621 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:53:19.871472Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:43:05.254335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:28:39.565787Z

Reference resolution

81 of 81 outbound references displayed

verified exact1
verified fuzzy73
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32ebb352-a78e-450c-b7e7-56b89c30e05e · outbound

This paper cites arXiv preprint arXiv:240518718.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240518718

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:19.449760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e52c400a-0957-4c54-8bbf-bc7d459560ac · outbound

This paper cites In: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), IEEE, pp 941–947.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), IEEE, pp 941–947

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.410964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 152cf4db-b9b0-450a-ba02-3c0bfef56532 · outbound

This paper cites In: 2018 52nd Annual Conference on Information Sciences and Systems (CISS), IEEE, pp 1–6.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2018 52nd Annual Conference on Information Sciences and Systems (CISS), IEEE, pp 1–6

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.395376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cd3a48c0-3a86-4d3a-ac98-fddd95ae91c6 · outbound

This paper cites IEEE Transactions on Control of Network Systems 7(3):1056–1068.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Transactions on Control of Network Systems 7(3):1056–1068

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.378899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98d5560e-d960-4f8d-80bf-57ec5d60296d · outbound

This paper cites Springer.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Springer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.362845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5310928-d2e9-4c9e-a570-bfbc08d9a3b6 · outbound

This paper cites IEEE Transactions on Control of Network Systems 7(1):398–409, DOI 10.1109/TCNS.2019.2906893.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Transactions on Control of Network Systems 7(1):398–409, DOI 10.1109/TCNS.2019.2906893

Reference 6

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T17:53:20.187377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3affa54-c3f3-475f-af6d-757c87ff826b · outbound

This paper cites Dynamic Games and Applications 11:294–325.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Dynamic Games and Applications 11:294–325

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.347098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0d318dd-7473-471d-a666-4efc19b9d36c · outbound

This paper cites an unresolved cited work.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:19.493870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d0b7089-f437-4869-afc0-6a63f7a2a57c · outbound

This paper cites In: ICLR 2024 (Poster), URL https://openreview.net/forum?id=EHg5GDnyq1, poster.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: ICLR 2024 (Poster), URL https://openreview.net/forum?id=EHg5GDnyq1, poster

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.330425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 885c73d0-ab88-4702-acea-90a6fd69c26b · outbound

This paper cites arXiv preprint arXiv:240101335.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240101335

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.313029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f72e27e8-1da9-4667-a0ea-1a6be97a5c05 · outbound

This paper cites In: Forty-first International Conference on Machine Learning.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Forty-first International Conference on Machine Learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.296760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0aa95d4-10a4-4e99-9975-36b3c119265d · outbound

This paper cites arXiv preprint arXiv:240201306.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240201306

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.281336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2b9b264f-501b-434b-a752-f141e716e18b · outbound

This paper cites arXiv preprint arXiv:200804893.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:200804893

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.264745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0dad148b-6826-4ddd-b00e-6cade6fc253a · outbound

This paper cites In: 2021 American Control Conference (ACC), IEEE, pp 4574–4579 32.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2021 American Control Conference (ACC), IEEE, pp 4574–4579 32

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.245995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4135631b-0ba3-4148-92ec-bf69791de3fe · outbound

This paper cites In: Decision and Game Theory for Security: 15th International Conference, GameSec 2024, New York City, NY, USA, October 16–18, 2024, Proceedings, Springer Nature, vol 14908, p 124.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Decision and Game Theory for Security: 15th International Conference, GameSec 2024, New York City, NY, USA, October 16–18, 2024, Proceedings, Springer Nature, vol 14908, p 124

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.230395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00fdedd0-365c-4f54-aeec-2a924855a4e0 · outbound

This paper cites In: 2011 7th International Conference on Network and Service Management, IEEE, pp 1–6.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2011 7th International Conference on Network and Service Management, IEEE, pp 1–6

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.214293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89994e52-507e-4627-bba2-114ff9808201 · outbound

This paper cites In: Decision and Game Theory for Security: 8th International Conference, GameSec 2017, Vienna, Austria, October 23-25, 2017, Proceedings, Springer, pp 273–294.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Decision and Game Theory for Security: 8th International Conference, GameSec 2017, Vienna, Austria, October 23-25, 2017, Proceedings, Springer, pp 273–294

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.197226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a84a5720-bd31-45dd-be34-5cda8f2cbdcd · outbound

This paper cites In: 2022 IEEE 61st Conference on Decision and Control (CDC), IEEE, pp 6111–6117.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2022 IEEE 61st Conference on Decision and Control (CDC), IEEE, pp 6111–6117

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.181202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 964698d1-8fd5-451a-9edc-1c4687ca9ea9 · outbound

This paper cites In: 2023 IEEE Statistical Signal Processing Workshop (SSP), IEEE, pp 36–40.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2023 IEEE Statistical Signal Processing Workshop (SSP), IEEE, pp 36–40

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.164952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1f26f60-393d-4164-ab1f-d8267486ebfc · outbound

This paper cites IEEE Transactions on Information Forensics and Security.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Transactions on Information Forensics and Security

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.145486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fcdd53a-e5b7-4f2c-bb4a-b7137e957e0e · outbound

This paper cites Computers & Security 89:101660.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Computers & Security 89:101660

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.128302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c85121a-5c2e-45c0-b871-2b7e2693a436 · outbound

This paper cites Springer Science & Business Media.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Springer Science & Business Media

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.111353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 774ab44e-4855-4738-bf22-48d9bbf6cff9 · outbound

This paper cites In: Handbook of the fundamentals of financial decision making: Part I, World Scientific, pp 99–127.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Handbook of the fundamentals of financial decision making: Part I, World Scientific, pp 99–127

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.093003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d0d33d3-73d3-4c69-aab1-294aa27debb3 · outbound

This paper cites Springer.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Springer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.077298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aab3b60e-c8f5-4729-a02e-8ad70f31ce70 · outbound

This paper cites In: Globerson A, Mackey L, Belgrave D, Fan A, Paquet U, Tomczak J, Zhang C (eds) Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 37, pp 79410–79452.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Globerson A, Mackey L, Belgrave D, Fan A, Paquet U, Tomczak J, Zhang C (eds) Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 37, pp 79410–79452

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.060195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b45ab85b-4ba4-4095-b6dd-d854c7fb06a0 · outbound

This paper cites Springer.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Springer

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.042371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adfb2710-13da-4417-8249-fb3609e01920 · outbound

This paper cites In: International Conference on Decision and Game Theory for Security, Springer, pp 168–187.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: International Conference on Decision and Game Theory for Security, Springer, pp 168–187

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.026892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eac18311-c02a-46d7-8d64-06bbbc9dcc95 · outbound

This paper cites In: Proceedings of the ACM Web Conference 2024, pp 66–76 33.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Proceedings of the ACM Web Conference 2024, pp 66–76 33

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:21.010142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32d1c7e7-25a7-4411-835f-67edf94ee656 · outbound

This paper cites In: Oh A, Naumann T, Globerson A, Saenko K, Hardt M, Levine S (eds) Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 36, pp 51991–52008.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Oh A, Naumann T, Globerson A, Saenko K, Hardt M, Levine S (eds) Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 36, pp 51991–52008

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.993535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d902c9c-f8ce-40c2-b17d-492619aa4604 · outbound

This paper cites IEEE Control Sys- tems 42(4):35–67, DOI 10.1109/mcs.2022.3171478.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Control Sys- tems 42(4):35–67, DOI 10.1109/mcs.2022.3171478

Reference 30

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T17:53:20.101577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04e58249-8a0b-4bf5-ae61-a56551f5a7d4 · outbound

This paper cites arXiv preprint arXiv:250201587.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:250201587

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.976587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e4be2f4-c1eb-4079-847f-c32099df786e · outbound

This paper cites arXiv preprint arXiv:250310990.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:250310990

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.961001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b96d8007-85be-470f-82a1-880b791d5489 · outbound

This paper cites Advances in Neural Information Processing Systems 37:15497–15525.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Advances in Neural Information Processing Systems 37:15497–15525

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.945227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 732a5c3a-2d18-4116-bdbc-0d4e41315792 · outbound

This paper cites ACM Computing Surveys (CSUR) 45(3):1–39.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats ACM Computing Surveys (CSUR) 45(3):1–39

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.927001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d390b7ae-96d1-4a37-9efe-06da23044e2f · outbound

This paper cites arXiv preprint arXiv:231200886 18.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:231200886 18

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.908576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f776fda-93a5-4249-a234-b9245a0b7f71 · outbound

This paper cites Computation, cryptography, and network security pp 381– 398.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Computation, cryptography, and network security pp 381– 398

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.892032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bfba2179-eb22-4889-88b5-6f31ab479e30 · outbound

This paper cites In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, pp 1727–1738.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, pp 1727–1738

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.875982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 758992c4-0b41-41cd-b1d0-68bd579d3341 · outbound

This paper cites In: 2019 American Control Conference (ACC), IEEE, pp 2060–2065.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2019 American Control Conference (ACC), IEEE, pp 2060–2065

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.860117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f3dfd08-83cb-41b2-b843-6087b386ffcb · outbound

This paper cites IEEE Transactions on Control of Network Systems 8(1):246– 259.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Transactions on Control of Network Systems 8(1):246– 259

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.841788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bf8bdda-0291-4e3f-9923-9d1779ef784e · outbound

This paper cites Automatica 175:112137.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Automatica 175:112137

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.825127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a7b3c54-16ba-47bf-ad71-be01ee9e1f1b · outbound

This paper cites In: 2016 IEEE International Workshop on Information Forensics and Security (WIFS), IEEE, pp 1–6.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2016 IEEE International Workshop on Information Forensics and Security (WIFS), IEEE, pp 1–6

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.808050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7eb6a50f-4d84-4e16-9f29-e411dee22460 · outbound

This paper cites IEEE Transactions on Information Forensics and Security 12(12):2906–2919 34.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Transactions on Information Forensics and Security 12(12):2906–2919 34

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.792311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58b07b40-3b64-43e5-b603-9620b35eb06b · outbound

This paper cites In: International Conference on Decision and Game Theory for Security (GameSec), Springer, pp 289–308, DOI 10.1007/978-3-319-25594-1 17.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: International Conference on Decision and Game Theory for Security (GameSec), Springer, pp 289–308, DOI 10.1007/978-3-319-25594-1 17

Reference 43

Resolution: verified exact; doi, observed 2026-08-06T17:53:19.926131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ba5c7083-0522-4f4d-96d7-93f35fff9b9f · outbound

This paper cites IEEE Transactions on Information Forensics and Security 14(6):1654–1669.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Transactions on Information Forensics and Security 14(6):1654–1669

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.776955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92889fda-7b48-41b5-84f7-c932e5e48c63 · outbound

This paper cites IEEE Transactions on Information Forensics and Security 14(7):1871–1886.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Transactions on Information Forensics and Security 14(7):1871–1886

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.761013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5402e27d-870f-438d-8e5b-b6977a960d44 · outbound

This paper cites ACM Computing Surveys (CSUR) 52(4):1–28.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats ACM Computing Surveys (CSUR) 52(4):1–28

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.744434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 273b0e9d-4fdd-431c-a9a8-2dc77db49418 · outbound

This paper cites Springer.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Springer

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.728238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 235a3503-449f-477f-9a61-e285f35edc96 · outbound

This paper cites an unresolved cited work.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:19.702047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2fce9e-1a73-46ef-98f1-be6220633b60 · outbound

This paper cites In: 2020 IEEE Conference on Control Technology and Applications (CCTA), IEEE, pp 1–7.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2020 IEEE Conference on Control Technology and Applications (CCTA), IEEE, pp 1–7

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.711038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e688c626-75bd-47f7-8dc2-624e0d128682 · outbound

This paper cites Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach pp 99–114.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach pp 99–114

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.695624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84bff47c-8295-4630-883e-1bcd9bcb6a96 · outbound

This paper cites arXiv preprint arXiv:240403715.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240403715

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.680871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 40845d3a-85ae-48e6-86de-c19b779b1c2f · outbound

This paper cites Addison-Wesley Longman Publishing Co., Inc.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Addison-Wesley Longman Publishing Co., Inc

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.665432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 432b1ceb-4b7f-46e4-8a0e-f42190eebcf5 · outbound

This paper cites arXiv preprint arXiv:240516276.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240516276

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.649034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16a5bab6-50fb-4ee9-8ab7-5debbd946e2c · outbound

This paper cites A Minimaximalist Approach to Reinforcement Learning from Human Feedback.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats A Minimaximalist Approach to Reinforcement Learning from Human Feedback

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T17:53:19.732489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3e888e-3c5e-4950-8fa8-a844ef5258f1 · outbound

This paper cites In: Find- ings of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, URL https://aclanthology.org/2024.findings-acl.33/.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Find- ings of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, URL https://aclanthology.org/2024.findings-acl.33/

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.633069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9f2ce80-34da-497f-be2f-2cfbcc4fd87f · outbound

This paper cites In: Globerson A, Mackey L, Belgrave D, Fan A, Paquet U, Tomczak J, Zhang C (eds) Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 37, pp 51963–51993.

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.617273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d90173f8-6179-4a4f-bcba-8a9393db6a62 · outbound

This paper cites arXiv preprint arXiv:240500675 35.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240500675 35

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.601810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 701ef721-fdd3-4170-aaf0-dc96fcbe6fa3 · outbound

This paper cites In: Proceedings of the 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, pp 27–34.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Proceedings of the 1st International Workshop on Safe Control of Connected and Autonomous Vehicles, pp 27–34

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.585949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a464bb8d-b847-4e54-a085-febebb31c96d · outbound

This paper cites arXiv preprint arXiv:250521244.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:250521244

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.570206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4407bb90-7aa0-4ec3-9e05-2174312ae924 · outbound

This paper cites In: International Conference on Decision and Game Theory for Security, Springer, pp 349–368.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: International Conference on Decision and Game Theory for Security, Springer, pp 349–368

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.554828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4b4b5a0-3289-4858-87d7-65b73dd468f9 · outbound

This paper cites Advances in Neural Information Processing Systems 37:81773–81807.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Advances in Neural Information Processing Systems 37:81773–81807

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.539098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d149927f-f1b8-4864-9cb3-e8a1da788055 · outbound

This paper cites arXiv e-prints pp arXiv–2402.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv e-prints pp arXiv–2402

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.520182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1811e197-a7a6-4047-9818-4a9cb6fe914d · outbound

This paper cites arXiv preprint arXiv:241100062.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:241100062

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.502583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6df702d8-f5f1-40b8-ac9e-146ecbcee2f7 · outbound

This paper cites In: 2015 18th International Conference on Information Fusion (Fusion), IEEE, pp 644–651.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2015 18th International Conference on Information Fusion (Fusion), IEEE, pp 644–651

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.487316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0930311b-5b9b-4f76-a14e-6755bb56936f · outbound

This paper cites IEEE transactions on neural networks and learning systems 29(11):5512–5527.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE transactions on neural networks and learning systems 29(11):5512–5527

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.471730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7e56989-fc99-4f79-b650-2e208824e814 · outbound

This paper cites Adversary-Aware Learning Techniques and Trends in Cybersecurity p 17.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Adversary-Aware Learning Techniques and Trends in Cybersecurity p 17

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.455160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed0c9abf-cc5e-44ab-9d65-331a0ae65c7d · outbound

This paper cites an unresolved cited work.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:53:20.440195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38ffb2c2-7e48-41fb-8dd3-de003f8c40fd · outbound

This paper cites Advances in Neural Information Processing Systems 37:75522–75558.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Advances in Neural Information Processing Systems 37:75522–75558

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.423818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e267bc20-f8f7-487b-8090-4078c31e16f7 · outbound

This paper cites arXiv preprint arXiv:240401205.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240401205

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.405970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad531cc5-1565-488d-b602-677eedaed235 · outbound

This paper cites In: Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, IEEE, pp 8600–8605.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, IEEE, pp 8600–8605

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.390645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 428faeb5-05e3-426a-a534-9f21e65e5948 · outbound

This paper cites In: International conference on decision and game theory for security, Springer, pp 246–263.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: International conference on decision and game theory for security, Springer, pp 246–263

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.374439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a427c60-f827-4a95-bbfc-3afe35332f05 · outbound

This paper cites IEEE Control Systems Magazine 35(1):46–65 36.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Control Systems Magazine 35(1):46–65 36

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.358619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c38deb83-b811-4191-a7dc-2b1bd719a8c7 · outbound

This paper cites arXiv preprint arXiv:240306299.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats arXiv preprint arXiv:240306299

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.341981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11555451-4c6b-4317-a54a-be1b21873612 · outbound

This paper cites IEEE Control Systems Letters.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Control Systems Letters

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.324320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e8761158-702c-4065-9f47-6be8b2f45c16 · outbound

This paper cites IEEE Access 6:13958–13971.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Access 6:13958–13971

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.308575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84c0f9ce-1eb0-4998-8a1e-01c578da8084 · outbound

This paper cites Springer.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats Springer

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.292682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a777969-9075-4412-8a0b-981c02382eb6 · outbound

This paper cites In: 2010 IEEE International Conference on Communications, IEEE, pp 1–6.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2010 IEEE International Conference on Communications, IEEE, pp 1–6

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.277188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3559ad6-a2b3-4166-abae-d009ecc5288b · outbound

This paper cites In: Proceedings of the 2010 American control conference, IEEE, pp 1059–1064.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: Proceedings of the 2010 American control conference, IEEE, pp 1059–1064

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.260123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dadc8d6f-85a0-4666-be72-46342362570e · outbound

This paper cites In: 2011 50th IEEE Conference on Decision and Control and European Control Conference, IEEE, pp 243–248.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2011 50th IEEE Conference on Decision and Control and European Control Conference, IEEE, pp 243–248

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.242880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3f9eb8b-c040-4ebf-ac4b-c83a6c4bee64 · outbound

This paper cites In: 2011-MILCOM 2011 Military Communications Conference, IEEE, pp 119–124.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats In: 2011-MILCOM 2011 Military Communications Conference, IEEE, pp 119–124

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.225724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0adf5391-0be1-455e-ac82-dbb24ddd40af · outbound

This paper cites IEEE Journal on Selected Areas in Communications 30(11):2220– 2230 37.

Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats IEEE Journal on Selected Areas in Communications 30(11):2220– 2230 37

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:53:20.204853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation c6710bda-04a9-43c4-b3ff-3c0ebe5c6152 · inbound

Guarding Against Malicious Biased Threats (GAMBiT) Experiments: Revealing Cognitive Bias in Human-Subjects Red-Team Cyber Range Operations cites this paper.

Guarding Against Malicious Biased Threats (GAMBiT) Experiments: Revealing Cognitive Bias in Human-Subjects Red-Team Cyber Range Operations Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:43:05.254335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4347108d-e08a-4495-a0e2-0860e18f3ade · inbound

Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense cites this paper.

Stable Agentic Control: Tool-Mediated LLM Architecture for Autonomous Cyber Defense Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:06:05.803674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09e963dc-43d3-4ec0-ac2a-328ae92a986d · inbound

A Theory of Multilevel Interactive Equilibrium in NeuroAI cites this paper.

A Theory of Multilevel Interactive Equilibrium in NeuroAI Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:26.239170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 562b711f-471b-4c2b-b41e-1d2fb0f8501b · inbound

Insurance of Agentic AI cites this paper.

Insurance of Agentic AI Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:36:47.913005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28cad553-e7f5-4383-8b31-9c11c4b95e31 · inbound

The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale cites this paper.

The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:28:39.567396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72485373-b94b-4a2a-84af-de26cdbaaa57 · inbound

AI Tokenomics: The Economics of Tokens, Computation, and Pricing in Foundation Models cites this paper.

AI Tokenomics: The Economics of Tokens, Computation, and Pricing in Foundation Models Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:27:56.972614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aac28704-1970-4c56-a894-962545115812 · inbound

LLM Semantic Signaling Game and Mechanism Design: Systematic Blindness, Awareness Shaping, and Mindset Dynamics cites this paper.

LLM Semantic Signaling Game and Mechanism Design: Systematic Blindness, Awareness Shaping, and Mindset Dynamics Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.185877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 13aeb189-53bd-42c8-b4ca-0b6a07d22259 · inbound

Understanding Censorship in Large Language Models: From Mechanisms to Governance cites this paper.

Understanding Censorship in Large Language Models: From Mechanisms to Governance Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent Threats

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-01T07:05:28.413857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.