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Paper Citation Record · LEDGER

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

As of 10 August 2026, this Paper Citation Record lists 100 of 149 outbound references and 4 inbound Pith citation observations for arXiv:2508.19870.

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

pith.paper-citation-record.v1
2508.19870 v1

Coverage vector

measured 100 of 149 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:26:33.678951Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

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

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T11:01:43.679953Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:00:54.998053Z

Reference resolution

100 of 149 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved95
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e416f79d-4660-4a55-90fd-a00fbb264b42 · outbound

This paper cites LLM-based Multi-Agent Systems: Techniques and Business Perspectives.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey LLM-based Multi-Agent Systems: Techniques and Business Perspectives

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.388909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.388909Z digest=sha256:a84fe1fccccd34a75acd77601c70d5c137662e46dc3647a4c6cb2a7062272798

Observation 596cb7e4-d7a4-4e3d-a56e-de5b31037890 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.392682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.392682Z digest=sha256:f1072fd9717c7f622d2230bae3d74b4e20dfec55f791ff9ae4ba8a2bd892e1cf

Observation 14c00018-5202-4aa6-8b2b-fc905306c9e5 · outbound

This paper cites MediaMind: Revolutionizing Media Monitoring using Agentification.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey MediaMind: Revolutionizing Media Monitoring using Agentification

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:26:34.447929Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T15:26:33.395982Z digest=sha256:030aa1c45b4adb2de3225a55694c42503e1700fc6d4b62a990faee58efa99316

Observation df0926c3-e866-4cad-9c06-9a3179d52292 · outbound

This paper cites Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.399285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.399285Z digest=sha256:3d95867712e9c9510b9c125ff8b50d150ba93b737caefe2112392f44a39a4e43

Observation ca815291-d4a8-4036-adf7-8de6bb154224 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.402812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.402812Z digest=sha256:a1c841b1d15311f66afa0cbd8ed5e682957ea2bca9248aee97f80f34f423a53d

Observation f37d8e30-8d76-4bc7-a958-3decb47a4161 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.405806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.405806Z digest=sha256:bd9f84b80037c6fef3d501138066243f7375ccbebfaaf98beaeb250a6b0c9aaa

Observation be5fc56e-0d7b-4e66-bf78-77a770418e5f · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Prompt Injection attack against LLM-integrated Applications

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.409055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.409055Z digest=sha256:6471ba3419238ac979f0677491694eee1a6da533ae38c3d21070c077db65d0e3

Observation b812b4db-1787-4aa6-aeb6-bd0846ec9811 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.413108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.413108Z digest=sha256:232a7af69317b991279d9fc17c5be56c3ef39ae55aea7a38258c4976f3273f84

Observation b8382a21-5ab8-4358-8333-eb5e825dbb01 · outbound

This paper cites Seven Security Challenges in Cross-domain Multi-agent LLM Systems.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Seven Security Challenges in Cross-domain Multi-agent LLM Systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.416300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.416300Z digest=sha256:e8859734176757c1f7d566fc05db5832ad634381d9793a9e8e02d38bb33b0c79

Observation a4939c05-ab77-480d-9e4f-d63799067a58 · outbound

This paper cites Robust LLM safeguarding via refusal feature adversarial training.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Robust LLM safeguarding via refusal feature adversarial training

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.419234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.419234Z digest=sha256:85a0149e07644fe1560e9c1866af2a80a7f42e7e275c98346dc155debf07b843

Observation 3ef2fd98-721b-49af-a167-94f0b1624143 · outbound

This paper cites Fine-Tuning Large Language Models with User-Level Differential Privacy.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Fine-Tuning Large Language Models with User-Level Differential Privacy

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.422169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.422169Z digest=sha256:8b06fca8da013d3d4bee32756cfc30bee853a1dd452f35a1f42507c266d5f1b1

Observation 7324ebee-adb1-4d11-aa57-38c82e2e5f5b · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.425785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.425785Z digest=sha256:6fd7b198761f6f57b5a1dd17874c757a3ea9a3d32611dc910efc85708d11fa10

Observation a262b50d-7d23-413e-823e-3f9359257f0f · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.428311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.428311Z digest=sha256:46c73bbfe2da120bb6f789b0aa718935537432267e718d9bfd8eba001431bcb9

Observation 365921f3-ce08-44b8-9253-918e3432b0f2 · outbound

This paper cites GPT-4 Technical Report.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey GPT-4 Technical Report

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.430758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.430758Z digest=sha256:2583b5085abfeeab632acc13162819156bd299d49ae22393bd786516ae8ed9f8

Observation 182908b7-1b93-4a4b-adb7-9b29151b63c0 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.433466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.433466Z digest=sha256:18e65d20dfc4cea6d03a818db60e0bdff2f4587eafb91e1f9e07cbc95d208348

Observation 57f7ed17-63fa-4482-bac2-31baa1b238b1 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.436074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.436074Z digest=sha256:56591fc281ad2b250718c4602c76e0794bc9e5f65a370dd76672e34c3e220212

Observation 7c75db6d-3156-40fb-9143-30818481eac3 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.438875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.438875Z digest=sha256:148a74b88992a2585a6854a31eee94599fe543dbd8e97e31e357078db0b5304b

Observation 9f5bef5a-249f-4e47-8c5b-d19f41ca2e9a · outbound

This paper cites Hadi Amini, and Yanzhao Wu.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Hadi Amini, and Yanzhao Wu

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.441639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.441639Z digest=sha256:2db9466ef02e6c0cd89468a0461e2c14743fd547d36c761971a2ae8c686d8acb

Observation 0bd2c42c-69a4-428f-a2ac-b89ab447cdad · outbound

This paper cites LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.444330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.444330Z digest=sha256:c41620fca658b44b8010f8462821546f9f470fe2f61f0d1dff402fba60d3821d

Observation db9cb9e0-96b5-4ba1-b0e0-0d081d9aed30 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.447145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.447145Z digest=sha256:8556dccb3455c54b22c7b8c361f76e28f0a3ed68c5476d35becc47b04f1d08a5

Observation 0a2d3a5b-5edf-4b34-abff-04629fb200f2 · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.452715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.452715Z digest=sha256:d7ba4cc058ad2396e981634f9bb5d8d6d508278229af9d4d7918a90f22ba7b89

Observation a87edcc4-edee-410b-9fc6-ebc992832de9 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.455708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.455708Z digest=sha256:b77428e11b27503c86458c9e644abdf388c700934a4e5798f94d20ffada5f702

Observation 47383e80-40df-4961-9b92-f192318c668c · outbound

This paper cites Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.458218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.458218Z digest=sha256:ae73ddf57c84dce59163e78e97aeae5bf146ffd2f827818650283dc4f4a1e4e4

Observation b860965b-02ce-44e5-b4b0-02bc31ae376b · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.461537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.461537Z digest=sha256:df8e89c911df8dcf5a853df7dff0c203c45ac64e391f756d344db72903735f90

Observation fd937556-6346-447e-844e-c6cc76f1d866 · outbound

This paper cites Encrypted Prompt: Securing LLM Applications Against Unauthorized Actions.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Encrypted Prompt: Securing LLM Applications Against Unauthorized Actions

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.464828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.464828Z digest=sha256:387531b93a22c0cf86e0b178711a4e462cc4ed9cba16155b2c907cdb0a8bbe82

Observation b315ab5e-22c1-4176-a29c-c26c7c85a619 · outbound

This paper cites Privacy-Enhancing Paradigms within Federated Multi-Agent Systems.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Privacy-Enhancing Paradigms within Federated Multi-Agent Systems

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:26:34.306682Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T15:26:33.467897Z digest=sha256:a6111c550a3d7c9ad3e1433369d4ddf6aea0798458328159641e4580d2b48a5b

Observation 81b68fad-7563-44c3-94c8-2428cc02dc19 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.470661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.470661Z digest=sha256:74b8404af9b65e61597d1bb18ef84281b8b68291966a2f1ce8bf386656ddde06

Observation 57c80df0-c527-4d85-a117-f2e4e424cf5f · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.473302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.473302Z digest=sha256:719a7968c9a087b6cb57c602db93605ea83abbc5a3954294bbca779ff48f94e1

Observation 00efaf60-b293-480a-b774-31e490f8f738 · outbound

This paper cites Defending Against Prompt Injection With a Few DefensiveTokens.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Defending Against Prompt Injection With a Few DefensiveTokens

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.475946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.475946Z digest=sha256:696b99f8d90d8e45b45d93db048c3bc1c220af1f7db50bc0c9a8442791929495

Observation 24b319e0-f6b1-4639-b678-79686c5c7dfd · outbound

This paper cites LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:26:34.281310Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-05T15:26:33.481695Z digest=sha256:95d531cc10616a692f7a219359d9e3cbdbd9b848c8291bdbf90f398589c16561

Observation fe3d05ab-9ed5-4590-b9b4-eeb17a9f3f5a · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.484798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.484798Z digest=sha256:903f0a389131a2eb4aaeea957150b37fab6cb85f1ce076232b206da4522bbf9e

Observation 053113b4-77dd-4bc5-8261-45f7728517aa · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.487337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.487337Z digest=sha256:84e5b69c03db5e3de09c8a81edde5642febd0a7a5a83a2f0417ce9de5983ef07

Observation 790012a4-187f-4f37-9c78-0ee12dcb4460 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.489966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.489966Z digest=sha256:f48445ebea94507193e83e3182ef162fca4a5fff9d49e1ea2f44e46cc8aede39

Observation 1b34b8a6-2e01-4258-9776-b663501b452b · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.492546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.492546Z digest=sha256:5573622affdf75c98a599a95f36b906988408c768f630d2db621c7bd7d4375c1

Observation a684dfff-0188-4709-9f34-790dff924e0d · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.495229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.495229Z digest=sha256:61be71c201d1a8b0b3c7de64f4f88771e0f7da726b81dd87881f9682e9065feb

Observation b7a62bbf-e70b-4d06-ab20-4b86dec793ff · outbound

This paper cites Tenenbaum, and Igor Mordatch.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Tenenbaum, and Igor Mordatch

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.497791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.497791Z digest=sha256:77123ff7a7b675c90333721d3f8b6ebca0442e824c0a6fdd00143a320e27343d

Observation 3c3483af-4fd2-4ae5-8c4a-a22a8ba7c4ac · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.500500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.500500Z digest=sha256:a187d4349b8e2024c218b190e9bc258d65f1df46a192aa5bba6231b7c23e97bd

Observation 5ef192b9-249d-4969-9a61-594c1ea29056 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 40

Resolution
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no resolver link, observed 2026-08-05T15:26:33.503270Z

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source=pdf_text observed=2026-08-05T15:26:33.503270Z digest=sha256:6687e4236f81777b9077dbeb824e5ded6353121f05c8dacb7721378f90862830

Observation 61567db0-50e6-4504-a035-1cdc91bbc4a9 · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 41

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source=pdf_text observed=2026-08-05T15:26:33.505978Z digest=sha256:b8786afa8a796a5eca2ed5b7702f6e97317e8d930b2cb604c53eaefd0b3f17ad

Observation 3e7f54fc-9199-4ee3-b613-ffd97112e587 · outbound

This paper cites A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP).

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)

Reference 42

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source=pdf_text observed=2026-08-05T15:26:33.508877Z digest=sha256:2a430a36b8cec0037262be45b88a9e6896c234c4566ca4faa7f25b662a1bb743

Observation 067f5d3b-6778-4071-a2c3-e2c59ccbfe6e · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-05T15:26:33.512269Z digest=sha256:4b0b2a09e0d78450aa81d25690d12d2309185b08aa29fb35a2eeb0cba52c63b6

Observation b6989968-9769-49c0-ba77-e7466bc12a84 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-05T15:26:33.514881Z digest=sha256:c3a3c48855aecaca27c364355b7a71b5969bb1a0611eca8ead14afa675546ca9

Observation fa8bf63a-0863-48ed-a1df-bc9d1c0f62f8 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 45

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source=pdf_text observed=2026-08-05T15:26:33.517824Z digest=sha256:0c949cd0b407f7133387d710d8137e1369a3dcc30dd8bd71ba55eba087af3964

Observation 45c405a8-606f-44b3-8292-27346b901da1 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-05T15:26:33.520659Z digest=sha256:421e4def6be05019fd65674f909762582deac9c0dde2978caefb4a635ea2ee9f

Observation 6dd67114-1349-4745-84c7-4d7b37942fe7 · outbound

This paper cites AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning

Reference 47

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source=pdf_text observed=2026-08-05T15:26:33.523258Z digest=sha256:8a9c4d1a0a21aab3e9c3cd51b070d16c1efc23d27d503356da01551e2372953b

Observation 96ca9407-8220-4fc8-bb96-0604a4c385ab · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-05T15:26:33.526115Z digest=sha256:a558d83ba1d168f17165c193acf5f4aaea736d3eea6dd3d0f8fe0aecbf0a1eab

Observation dec9cb4c-f47b-467f-a633-61226fcbb838 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-05T15:26:33.528957Z digest=sha256:dbd8e23573e29c1573556c862c571fba872c62f67534d6292cb75c4b4ba653e2

Observation 75075633-2ceb-4d55-9a97-190992560e65 · outbound

This paper cites Khowaja, Parus Khuwaja, Kapal Dev, Keshav Singh, Xingwang Li, Nikolaos Bartzoudis, and Ciprian R.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Khowaja, Parus Khuwaja, Kapal Dev, Keshav Singh, Xingwang Li, Nikolaos Bartzoudis, and Ciprian R

Reference 50

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source=pdf_text observed=2026-08-05T15:26:33.531561Z digest=sha256:298266e49bf70fac5fdf41a6524267761fc1d72b84b34ae4983077b3c550a52d

Observation 6a4c2553-f88a-463c-8f5b-e6b2b207c100 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 51

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source=pdf_text observed=2026-08-05T15:26:33.534203Z digest=sha256:53ca4b09f924e20c7ce729cfa689e9d7646f9f162e232fbc083a26f94193be55

Observation 1c7f6ba1-8693-4e3a-860f-33a27a0b74ae · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-05T15:26:33.536795Z digest=sha256:73c799aa776c36e4c20be2ecf193c63c296c7edeff67e80926df618aa7f873e7

Observation 0554aac0-48c3-4b95-a28f-d5a059b1041b · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 53

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source=pdf_text observed=2026-08-05T15:26:33.539365Z digest=sha256:2efdf0b1ba9efd7f2829eb6eb497a5508b0f86565c868b2ee77e165b4256df48

Observation 0aca5696-d0af-4876-b1d6-ca0adca0ef8a · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 54

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source=pdf_text observed=2026-08-05T15:26:33.542114Z digest=sha256:5d702960d75c80f07c5ea841d1edbccc0467bfeb86d3e4463979b14a0291f3a2

Observation d3779a48-0751-4d7c-b048-e3dbce76689c · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-05T15:26:33.545101Z digest=sha256:7255580dfcf32fb75a34ab7f108e170df3fb82f9562029ef413b548b36416b9f

Observation 5753f61b-297a-43cd-98c9-d53c087fbce5 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-05T15:26:33.547657Z digest=sha256:03258218c0a2d1855780d0f68ed4a585c352273bd2e2f0372e5f40bc5296d2b0

Observation 4731f135-9786-4fe0-a51f-036a9910403d · outbound

This paper cites Manadhata, and Loai Zomlot.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Manadhata, and Loai Zomlot

Reference 57

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source=pdf_text observed=2026-08-05T15:26:33.550321Z digest=sha256:f2791fabb50c45f2106cb032d6c6579c50bb897e5439d488301db81cb902d840

Observation 00f1f5f0-31e9-4bae-a0bc-cdc8a369da98 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-05T15:26:33.552942Z digest=sha256:3b39def1e9aec454f306e4a51d19a71b96195039c30808c78e4cceb75b1decf0

Observation af880f2a-367b-4f7a-b4ce-380b33124f4a · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 59

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Observation 88f3d568-47c3-4929-8ae1-0ee63a3332e3 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-05T15:26:33.558599Z digest=sha256:bc8a716d9052f5a79938d7b458a250c9a48cf03a3e146b250d1d9a2f4e66a1f3

Observation c04b694e-ac73-4632-9b59-8ba09c0a9c96 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-05T15:26:33.561231Z digest=sha256:d4442f29a214d60740de2a7eff5d275cc1ccac46cecd22d717d3f717b2617d22

Observation 66c3b8e7-34ef-4785-b35e-4e8e4061c135 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-05T15:26:33.563766Z digest=sha256:584254be8341d2d490336ae462fbbfd55614ce204bb4a86486c905cbb8570e0f

Observation bbff2afd-2e86-4451-b41f-706e720c242c · outbound

This paper cites LLM Agents can Autonomously Exploit One-day Vulnerabilities.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey LLM Agents can Autonomously Exploit One-day Vulnerabilities

Reference 63

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source=pdf_text observed=2026-08-05T15:26:33.566296Z digest=sha256:69f4e6fd675699c2607eeeb89b3cefaa2c511b4c359f2d8c4cd5d3ca0461f45b

Observation 0a3de4dd-81a7-40a1-abd4-0ccc05a2ca25 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 64

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source=pdf_text observed=2026-08-05T15:26:33.570080Z digest=sha256:3ca9a458194dd83f7a1f1294ad8c9dcb0b9d89599527a36064bd537c8d9c80b8

Observation 429f4d23-7596-4346-be53-e9160850eb16 · outbound

This paper cites GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking

Reference 65

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local_arxiv, observed 2026-08-05T15:26:34.235418Z

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source=pdf_text observed=2026-08-05T15:26:33.572827Z digest=sha256:c5c5c8a345a316ca497af6fd2cdb33e1114b0be06b2d847f2939ed6b37eddb3e

Observation f14ce38b-3de5-4f6f-92f1-2644a5e83f3a · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-05T15:26:33.576278Z digest=sha256:54df6850cf0cb7381b7310d98805b68903400f720b0b81b2438a5a1095a0a09b

Observation 4f48b248-54c5-4446-acc7-223b6c6e5455 · outbound

This paper cites Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems

Reference 67

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source=pdf_text observed=2026-08-05T15:26:33.578697Z digest=sha256:ba80c6cae2a1a578cbf101e716f4f0659bd5b6db8f42cc8f7396170850406837

Observation 1b623f90-3577-4972-af8a-0164ee945a41 · outbound

This paper cites Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

Reference 68

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source=pdf_text observed=2026-08-05T15:26:33.581346Z digest=sha256:341ff86a2631b3e1315da32b0f09c7e3334c3e577317c2e9182fa086e9ae91d6

Observation 10e86689-f5f0-4759-9718-123f2e37443f · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-05T15:26:33.584157Z digest=sha256:2b4b895f59d74ebcf1852b0584922a6cc9fdff8f96dab68f86f58db48acdf5d1

Observation 413eb5ff-40a8-487c-8d11-05ea3f8076e2 · outbound

This paper cites Red-Teaming LLM Multi-Agent Systems via Communication Attacks.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 70

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source=pdf_text observed=2026-08-05T15:26:33.586744Z digest=sha256:111494241bf5990f58ff1a609ca00ebc45951d147af9b8b68f8c99b0c60b71d9

Observation 2b69c7ee-b7b8-40b0-b7a1-0f4a7edae406 · outbound

This paper cites Towards Action Hijacking of Large Language Model-based Agent.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Towards Action Hijacking of Large Language Model-based Agent

Reference 71

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source=pdf_text observed=2026-08-05T15:26:33.589505Z digest=sha256:2f535450c51983a9b4d91bad53d559ef0a80aa1e97d155a16927c225580e5997

Observation c94769fe-b6f8-4075-97ad-0e77a2ef005d · outbound

This paper cites MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey MAGPIE: A dataset for Multi-AGent contextual PrIvacy Evaluation

Reference 72

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source=pdf_text observed=2026-08-05T15:26:33.592365Z digest=sha256:c55f686c5476dad23f93ce053977d811130f9e29428993498e31dcf20c87bb4a

Observation 24bb1321-110c-4eaf-b7b5-e1d3ff50eb50 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 73

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source=pdf_text observed=2026-08-05T15:26:33.595357Z digest=sha256:fa81f79f57ddc20600c94348352a1bff2975729682185c8cee5a9095210a97c0

Observation 4ac8fc37-8049-47cb-8d62-2b8f49764360 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-05T15:26:33.597887Z digest=sha256:45e4843fea38dd28535716eedffa6bef53bf9244dad0856656b2c731a2451eb3

Observation a308bc3b-d13f-4625-9f2b-bed6e9e436bc · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-05T15:26:33.603443Z digest=sha256:a234cc357775e417b16c715c2e4c49c14ed5c5bdd01830968d99580dfc8c9a92

Observation 7739da39-3713-497e-9b9f-752106b63069 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 76

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source=pdf_text observed=2026-08-05T15:26:33.605966Z digest=sha256:3ea9c36b2d3abfcf66255a9c4329d12909fe68586ec728ee2fe5e5b6c3cefdd7

Observation b9522eaf-faea-4a3a-ba16-61f73593aba3 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-05T15:26:33.608761Z digest=sha256:b282421c2cfe38975708c06a17f7c87f30b600bfa5b3e427cf0d5ac43ba2588f

Observation 937f3bb6-160b-4010-9b44-4808f4817009 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-05T15:26:33.611319Z digest=sha256:13ad4c660f32d4c9af7213864180a29b19335fee57112c3a5974d97c427d6251

Observation 0b80f3d1-a740-483c-845d-12db2ed38d16 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 79

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Observation a3f8e810-ee29-46b5-a3c3-ad18721bd4e1 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 80

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Observation 601af7fd-f50c-4dc5-ae93-7178a78cbd26 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 81

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source=pdf_text observed=2026-08-05T15:26:33.619018Z digest=sha256:9f255c7b503441c88ceeeefb43d77624a5c107b9791b17bbabf7bccfb9758f38

Observation 47621450-8d23-4625-947d-f15dc93d487e · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-05T15:26:33.621625Z digest=sha256:268a08aab92ff86db2de1dc199059c66dfd8fa79c0630b06de5196a29ed02e0c

Observation f683f754-93c9-4cf3-97f7-56c149e38cd3 · outbound

This paper cites Evaluating the Performance of the DeepSeek Model in Confidential Computing Environment.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Evaluating the Performance of the DeepSeek Model in Confidential Computing Environment

Reference 83

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source=pdf_text observed=2026-08-05T15:26:33.624442Z digest=sha256:f49f216d790258a37c55656da099884e98c281408c34b87579720c99a2953294

Observation 327eca14-7b6a-49b4-a0f7-aa00ed6162b6 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-05T15:26:33.627349Z digest=sha256:6c7f059db8cb829c69ae9c49cfcd3f7fc2ae0b90632e8eb86eb3793da74b2608

Observation ac293371-136e-4376-940d-f6861774848f · outbound

This paper cites CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment

Reference 85

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Observation b1dbf78d-bf08-409a-b46c-eb4d89d4957d · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-05T15:26:33.632704Z digest=sha256:b16b11ab4d6fa69f302a7c3cf8698ff88370aea38c9418587fc34be3b045e4e8

Observation aff9c5a7-cf0a-4217-8a45-15f8ffaa039d · outbound

This paper cites OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs

Reference 87

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source=pdf_text observed=2026-08-05T15:26:33.635309Z digest=sha256:8083aff5c1d6e7165429eac59018e96e5642e8bdc31e25e99d3004593d83c595

Observation 438db8f3-0bb0-499a-b8d1-86d323291d1f · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-05T15:26:33.638315Z digest=sha256:b8764f0706de3cfbb599c56ae96d56c567d3793fe9d9cde2e413b85d69284a77

Observation 21eb2b13-fcdb-4693-a1a0-e0d2903b8ea8 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-05T15:26:33.640874Z digest=sha256:7a1077f42baf0a646e671053e6617f994391e7b4dd26cd64cb277324d5f02c38

Observation c56ee316-1596-4c08-94ad-a08911975a7f · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 90

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source=pdf_text observed=2026-08-05T15:26:33.643428Z digest=sha256:85e9607efe2bc52f42ef6a55b88762b874258867961cf65d3bc7eff0900d92c1

Observation db0562f9-0114-4b28-872d-ca311c82b788 · outbound

This paper cites Progent: Securing AI Agents with Privilege Control.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Progent: Securing AI Agents with Privilege Control

Reference 91

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source=pdf_text observed=2026-08-05T15:26:33.646171Z digest=sha256:5160c212dbe81dd94b5f98e04fec3b7668fa557d0d3ab0d7eba83df7227a1655

Observation eac75904-96bd-41fe-8491-938156ad44da · outbound

This paper cites ControlNET: A Firewall for RAG-based LLM System.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey ControlNET: A Firewall for RAG-based LLM System

Reference 93

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source=pdf_text observed=2026-08-05T15:26:33.651692Z digest=sha256:e1387fcb953a89430cb6531bed3dfe75a94d1aea8a8afd19344aab03ac0f1c95

Observation be1efb89-a85a-453e-9f83-1494b8b446b0 · outbound

This paper cites Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents

Reference 94

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Observation 1c626112-f769-45c6-b8f8-f942ebdefaf1 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 95

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Observation b58c0322-d8fc-4f61-a678-7345be3e2add · outbound

This paper cites A Survey of Large Language Models.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey A Survey of Large Language Models

Reference 96

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Observation 16de11ed-75ce-4361-a4b4-6e51bf866dda · outbound

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Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-05T15:26:33.663017Z digest=sha256:e512e5f5ce94ba515fbd4a67bd93de265709f0f2b5933bfc8df721a391d2c0d1

Observation 127cf6a7-adc9-420f-8607-f40c0efee129 · outbound

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Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 98

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Observation a380c291-61f4-49fc-b15c-0e5a66c5caab · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 99

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Observation 4ecd2408-8d82-4084-ac17-bf60d5ec6416 · outbound

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Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 100

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source=pdf_text observed=2026-08-05T15:26:33.670795Z digest=sha256:c00ebae797c0ca3330f5124e40f6c785c45a57edd97656309277a7b0d743c8c8

Observation 45745b9b-47af-40e5-9c03-fb9b714b699b · outbound

This paper cites Suresh Thangakrishnan, T.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Suresh Thangakrishnan, T

Reference 101

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source=pdf_text observed=2026-08-05T15:26:33.673318Z digest=sha256:115aa0ae9279d52cbbf7bf425db8307c38972afb1c2c51f70827830eaf6d83de

Observation 4d91f157-5a34-4f75-85bf-74059c384c08 · outbound

This paper cites an unresolved cited work.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Unresolved cited work

Reference 102

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source=pdf_text observed=2026-08-05T15:26:33.676313Z digest=sha256:4be3d92373cff116d714838ac9d66ea170295fdbc865e9f0c8cca050109b6053

Observation 2e02a773-0a21-4875-8207-e643f9f5eb52 · outbound

This paper cites Firewalls to Secure Dynamic LLM Agentic Networks.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Firewalls to Secure Dynamic LLM Agentic Networks

Reference 103

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source=pdf_text observed=2026-08-05T15:26:33.678951Z digest=sha256:35aa1d10df7fc749badeb94a2ca7ebde6c980f9ccf426d50720c7de72ed1bbb1

Pith citing papers

Observation 026638be-4d0e-40b5-a7bb-d1be61d46e76 · inbound

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.

Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

Reference 73

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source=pdf_text observed=2026-08-03T11:01:43.679953Z digest=sha256:6a4b16b45961eee070d3f2335c965e1a060b63bf7ef86933b842383592be0ac2

Observation 33f9b565-016d-4e6d-87ed-73d3e81d186e · inbound

Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration cites this paper.

Generative Intent Prediction Agentic AI empowered Edge Service Function Chain Orchestration Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

Reference 3

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source=pdf_text observed=2026-05-16T12:58:09.641156Z digest=sha256:63c5babfd81dbfb328f933db9b7e990d29e2b396b96becfc927b28ec16bac23d

Observation c062580c-dbd1-43bb-99d4-39758a2bc7e0 · inbound

SoK: Security of Autonomous LLM Agents in Agentic Commerce cites this paper.

SoK: Security of Autonomous LLM Agents in Agentic Commerce Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

Reference 90

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source=pdf_text observed=2026-05-10T13:55:48.290563Z digest=sha256:5f8ffe90ba772f94eae9367550c8e4a3e2b296fa322ebe1e7424b36162b6bdf2

Observation eb7c04ec-6a5e-4425-acfe-160db5b6b72e · inbound

Agentic IoT: Architectures, Applications, and Challenges Toward the Internet of Agents cites this paper.

Agentic IoT: Architectures, Applications, and Challenges Toward the Internet of Agents Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

Reference 46

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source=pdf_text observed=2026-07-11T20:52:18.868711Z digest=sha256:66cce38e74a219ba9dd73e538b295256193a313f1f99b172ef5d9ccae8deaa37