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Paper Citation Record · LEDGER

Engineering Trustworthy Agentic AI for Critical Systems

As of 19 August 2026, this Paper Citation Record lists 100 of 144 outbound references and 0 inbound Pith citation observations for arXiv:2607.18548.

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

pith.paper-citation-record.v1
2607.18548 v1

Coverage vector

measured 100 of 144 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:07:34.166405Z

measured 100 of 100 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 144 outbound references displayed

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  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation eed54f08-46f9-4851-9086-2178b6bad17a · outbound

This paper cites The rise of agentic ai: A review of definitions, frameworks, architectures, applications, evaluation metrics, and challenges,.

Engineering Trustworthy Agentic AI for Critical Systems The rise of agentic ai: A review of definitions, frameworks, architectures, applications, evaluation metrics, and challenges,

Reference 1

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Observation 29ea1aff-c9d0-4158-aff0-ccba96c45421 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Engineering Trustworthy Agentic AI for Critical Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 2

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Observation 3ff15bdf-db28-4753-aa64-026b538733fb · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Engineering Trustworthy Agentic AI for Critical Systems Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 3

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Observation e3666c3d-a269-4fa4-9442-4a346ab0dce6 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Engineering Trustworthy Agentic AI for Critical Systems Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 4

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Observation afbdfdf0-2a95-4212-bd97-858f8433e5a6 · outbound

This paper cites Ai agents are breaking bad and CISOs aren’t ready,.

Engineering Trustworthy Agentic AI for Critical Systems Ai agents are breaking bad and CISOs aren’t ready,

Reference 6

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Observation 78e2ae7a-66ba-4457-97e2-83f37662347a · outbound

This paper cites Are we sleepwalking into an agentic AI crisis?.

Engineering Trustworthy Agentic AI for Critical Systems Are we sleepwalking into an agentic AI crisis?

Reference 7

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Observation f8ee91e7-e474-4003-b05e-57257c5c08e7 · outbound

This paper cites Agentic ai: Autonomous in- telligence for complex goals—a comprehensive survey,.

Engineering Trustworthy Agentic AI for Critical Systems Agentic ai: Autonomous in- telligence for complex goals—a comprehensive survey,

Reference 8

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Observation 55aaac19-cb84-4e2c-aad3-7c93633f941a · outbound

This paper cites Design of a web-based platform to leverage matlab functionality for digital engineering,.

Engineering Trustworthy Agentic AI for Critical Systems Design of a web-based platform to leverage matlab functionality for digital engineering,

Reference 9

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Observation 2ad2858f-e911-49db-a7ff-de5e1aa5c4c6 · outbound

This paper cites Agentic ai systems: Opportunities, chal- lenges, and trustworthiness,.

Engineering Trustworthy Agentic AI for Critical Systems Agentic ai systems: Opportunities, chal- lenges, and trustworthiness,

Reference 10

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Observation 55427993-4747-44bf-9b65-a42935ae5fd3 · outbound

This paper cites an unresolved cited work.

Engineering Trustworthy Agentic AI for Critical Systems Unresolved cited work

Reference 12

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Observation 5d452d1a-988a-454a-a4aa-a152cd150285 · outbound

This paper cites Constrained policy optimization,.

Engineering Trustworthy Agentic AI for Critical Systems Constrained policy optimization,

Reference 13

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Observation 6ce72652-4f2a-425b-9d7e-5840bc3c2c80 · outbound

This paper cites Iec 61508 & functional safety,.

Engineering Trustworthy Agentic AI for Critical Systems Iec 61508 & functional safety,

Reference 14

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Observation 6592657e-0294-4770-83d0-38b361f13db9 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

Engineering Trustworthy Agentic AI for Critical Systems Towards deep learning models resistant to adversarial attacks,

Reference 15

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Observation d22ed434-9b8e-44d1-aeea-334a5893963f · outbound

This paper cites (n.d.) Failure modes effects analysis (fmea).

Engineering Trustworthy Agentic AI for Critical Systems (n.d.) Failure modes effects analysis (fmea)

Reference 16

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Observation b0ba4ef5-3de6-4bcb-ada2-b388cd80bbe1 · outbound

This paper cites (2020) ASEMS toolkit: FMEA/FMECA.

Engineering Trustworthy Agentic AI for Critical Systems (2020) ASEMS toolkit: FMEA/FMECA

Reference 17

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Observation a3fd77dc-33c6-480a-976f-7056b9fde82b · outbound

This paper cites Explainable ai (xai): Core ideas, techniques, and solutions,.

Engineering Trustworthy Agentic AI for Critical Systems Explainable ai (xai): Core ideas, techniques, and solutions,

Reference 18

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Observation 1cfbce71-6a64-49ea-8c7b-57a61475b23d · outbound

This paper cites Explainable brain tumor classification using transfer learning of deep convolutional neural networks,.

Engineering Trustworthy Agentic AI for Critical Systems Explainable brain tumor classification using transfer learning of deep convolutional neural networks,

Reference 19

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Observation 80616c9b-da1a-4dd5-91d8-e7da443416c7 · outbound

This paper cites AI Pact: Organisations’ commitments,.

Engineering Trustworthy Agentic AI for Critical Systems AI Pact: Organisations’ commitments,

Reference 20

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Observation 56b7d535-7871-46bd-8515-53ee9c8dc9d3 · outbound

This paper cites Closing the ai accountability gap: defining an end-to-end framework for internal algorithmic auditing,.

Engineering Trustworthy Agentic AI for Critical Systems Closing the ai accountability gap: defining an end-to-end framework for internal algorithmic auditing,

Reference 21

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Observation 05ef7da0-a365-4362-89d9-0d8c6ae3fce0 · outbound

This paper cites (2025, May) AI act compliance checker flowchart (v1.0).

Engineering Trustworthy Agentic AI for Critical Systems (2025, May) AI act compliance checker flowchart (v1.0)

Reference 22

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Observation 9a858bc1-c8c8-46ff-92da-a621c5fdb6c4 · outbound

This paper cites Deep learning with differential privacy,.

Engineering Trustworthy Agentic AI for Critical Systems Deep learning with differential privacy,

Reference 23

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Observation 85e056c6-167c-4cca-9508-728cd3e89f89 · outbound

This paper cites An Overview of Catastrophic AI Risks.

Engineering Trustworthy Agentic AI for Critical Systems An Overview of Catastrophic AI Risks

Reference 24

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Observation f2c1dc15-1964-404a-89a8-b27d192862d3 · outbound

This paper cites (n.d.) What is ISO 26262 functional safety standard? Synopsys, Inc.

Engineering Trustworthy Agentic AI for Critical Systems (n.d.) What is ISO 26262 functional safety standard? Synopsys, Inc

Reference 25

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Observation 73cd001f-c079-4fed-b4cb-f59eee2cdfb1 · outbound

This paper cites Tamper-resistant safeguards for open-weight llms,.

Engineering Trustworthy Agentic AI for Critical Systems Tamper-resistant safeguards for open-weight llms,

Reference 26

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Observation d1bf584f-5dff-4813-955f-c53f41429875 · outbound

This paper cites Testing robustness against unforeseen adversaries,.

Engineering Trustworthy Agentic AI for Critical Systems Testing robustness against unforeseen adversaries,

Reference 27

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Observation d51ae933-b9c6-4f95-9fc7-80af8bbe18f8 · outbound

This paper cites Improving Alignment and Robustness with Circuit Breakers.

Engineering Trustworthy Agentic AI for Critical Systems Improving Alignment and Robustness with Circuit Breakers

Reference 28

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Observation c34465ab-cbe2-4edf-87cb-fd35384fa66b · outbound

This paper cites Representation engineering: A top-down approach to ai transparency,.

Engineering Trustworthy Agentic AI for Critical Systems Representation engineering: A top-down approach to ai transparency,

Reference 29

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Observation 879ff7f4-cd92-4337-9fb4-252e83d91a91 · outbound

This paper cites MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes.

Engineering Trustworthy Agentic AI for Critical Systems MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes

Reference 30

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Observation 9aec211c-1799-4f11-9fac-46dd7789c704 · outbound

This paper cites Zero trust for ai systems: A reference architecture and assurance framework,.

Engineering Trustworthy Agentic AI for Critical Systems Zero trust for ai systems: A reference architecture and assurance framework,

Reference 31

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Observation 45bf992c-e74a-4d44-9112-39f37d968901 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Engineering Trustworthy Agentic AI for Critical Systems Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 32

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Observation c79df1d3-dd20-4564-a0fb-0deeba884e9a · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Engineering Trustworthy Agentic AI for Critical Systems The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 33

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Observation d488a078-1535-4515-968b-088cab4c69b0 · outbound

This paper cites One step away from a massive data breach: What we found inside MoltBot,.

Engineering Trustworthy Agentic AI for Critical Systems One step away from a massive data breach: What we found inside MoltBot,

Reference 34

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Observation a194edc7-af73-4ddd-8eb2-ca258a572d92 · outbound

This paper cites ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

Engineering Trustworthy Agentic AI for Critical Systems ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent

Reference 35

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Observation 690d9359-25a2-45b1-ac17-5f455d648fac · outbound

This paper cites Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning.

Engineering Trustworthy Agentic AI for Critical Systems Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

Reference 36

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Observation a260d016-06e4-47c2-8d73-8c3225e3a17f · outbound

This paper cites Deepseek: Revolutionizing ai with open-source reasoning models -advancing innovation, accessibility, and competition with openai and gemini 2.0,.

Engineering Trustworthy Agentic AI for Critical Systems Deepseek: Revolutionizing ai with open-source reasoning models -advancing innovation, accessibility, and competition with openai and gemini 2.0,

Reference 37

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Observation 199f5a44-5320-4323-9192-1a1ef8115e05 · outbound

This paper cites (2026) Reasoning model practical guide: Enterprise comparison and deployment strategies for deepseek r1, openai o3, and gemini 3.

Engineering Trustworthy Agentic AI for Critical Systems (2026) Reasoning model practical guide: Enterprise comparison and deployment strategies for deepseek r1, openai o3, and gemini 3

Reference 38

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Observation ef463495-76f7-4aa8-af2b-d9ec83391b82 · outbound

This paper cites CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.

Engineering Trustworthy Agentic AI for Critical Systems CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Reference 39

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Observation 4383b36c-dffd-41c5-99ec-208cc30fc6b0 · outbound

This paper cites A survey on llm- based multi-agent systems: workflow, infrastructure, and challenges,.

Engineering Trustworthy Agentic AI for Critical Systems A survey on llm- based multi-agent systems: workflow, infrastructure, and challenges,

Reference 40

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Observation 250aff44-c049-44b0-bd8d-35fd1adbb12a · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Engineering Trustworthy Agentic AI for Critical Systems Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 41

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Observation 6535072d-a579-48cd-9bdb-472e9c6b580d · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Engineering Trustworthy Agentic AI for Critical Systems Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 42

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Observation 97482563-8c14-4f86-901e-e40b02d901b3 · outbound

This paper cites C-World: A Computer Use Agent Environment Creator.

Engineering Trustworthy Agentic AI for Critical Systems C-World: A Computer Use Agent Environment Creator

Reference 43

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Observation 91ee1c12-a703-4d15-a8a5-a515ad78520b · outbound

This paper cites A comparative study of modern AI frame- works based on architecture, integration, and scalability,.

Engineering Trustworthy Agentic AI for Critical Systems A comparative study of modern AI frame- works based on architecture, integration, and scalability,

Reference 44

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Observation 63bfe82a-b43f-4c17-8cae-2ba6699945b1 · outbound

This paper cites Langchain v0.3,.

Engineering Trustworthy Agentic AI for Critical Systems Langchain v0.3,

Reference 45

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Observation 93a57d70-d8e1-48da-8ac9-244aec849b91 · outbound

This paper cites (2026) Building managed agents on the Gemini Enterprise Agent Platform.

Engineering Trustworthy Agentic AI for Critical Systems (2026) Building managed agents on the Gemini Enterprise Agent Platform

Reference 46

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Observation 15a0ffaa-de80-405b-862f-66a9d159a832 · outbound

This paper cites (2026) Building managed agents with the Gemini API.

Engineering Trustworthy Agentic AI for Critical Systems (2026) Building managed agents with the Gemini API

Reference 47

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Observation b3c3f7ac-460a-4dd6-8806-e454a303d950 · outbound

This paper cites (2026) Interacting with managed agents on the Gemini Enterprise Agent Platform.

Engineering Trustworthy Agentic AI for Critical Systems (2026) Interacting with managed agents on the Gemini Enterprise Agent Platform

Reference 48

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Observation 336b1976-83dd-4691-bb12-287647956911 · outbound

This paper cites an unresolved cited work.

Engineering Trustworthy Agentic AI for Critical Systems Unresolved cited work

Reference 49

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Observation a4459437-d1fc-4c27-80cc-3592d845c198 · outbound

This paper cites Trustworthy agentic ai: A survey and taxonomy of secure coordination and hallucination mitigation in multi-agent large language model systems,.

Engineering Trustworthy Agentic AI for Critical Systems Trustworthy agentic ai: A survey and taxonomy of secure coordination and hallucination mitigation in multi-agent large language model systems,

Reference 50

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Observation 4d8197c0-d1c7-4b7e-b709-ca38098a8a8c · outbound

This paper cites (2024) Inside the push to standardize communication between AI agents.

Engineering Trustworthy Agentic AI for Critical Systems (2024) Inside the push to standardize communication between AI agents

Reference 51

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Observation 3c662c9c-6733-41f5-a621-4f2d8334a9fb · outbound

This paper cites Enabling agents to communicate entirely in latent space,.

Engineering Trustworthy Agentic AI for Critical Systems Enabling agents to communicate entirely in latent space,

Reference 52

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Observation e8e45c67-d427-4cc2-ac44-fe4cdd4088fc · outbound

This paper cites Thought communication in multiagent collaboration,.

Engineering Trustworthy Agentic AI for Critical Systems Thought communication in multiagent collaboration,

Reference 53

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Observation 50d59b5d-4c30-4616-b431-c5e29cb9e80e · outbound

This paper cites Byzantine-Robust Decentralized Coordination of LLM Agents.

Engineering Trustworthy Agentic AI for Critical Systems Byzantine-Robust Decentralized Coordination of LLM Agents

Reference 54

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Observation 86a5b96c-f387-4977-af2d-070fc0c0695d · outbound

This paper cites Blockagents: Towards byzantine-robust llm-based multi-agent coordination via blockchain,.

Engineering Trustworthy Agentic AI for Critical Systems Blockagents: Towards byzantine-robust llm-based multi-agent coordination via blockchain,

Reference 55

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Observation 055fcd7e-a8e1-462b-b3bf-681ecc93de75 · outbound

This paper cites Safety pretraining: Toward the next generation of safe ai,.

Engineering Trustworthy Agentic AI for Critical Systems Safety pretraining: Toward the next generation of safe ai,

Reference 56

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Observation 2b098afd-c3ff-4a99-930e-ba9f277f83df · outbound

This paper cites Can LLMs Follow Simple Rules?.

Engineering Trustworthy Agentic AI for Critical Systems Can LLMs Follow Simple Rules?

Reference 57

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Observation 411a9135-2b83-4438-afcf-67388786e03b · outbound

This paper cites Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machiavelli benchmark,.

Engineering Trustworthy Agentic AI for Critical Systems Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machiavelli benchmark,

Reference 58

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Observation 1b318dda-50ea-4637-8c0f-1162d3574f24 · outbound

This paper cites Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs.

Engineering Trustworthy Agentic AI for Critical Systems Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs

Reference 59

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Observation c12090a3-00b7-4c0c-a422-238a4d9242bb · outbound

This paper cites Agentic AI: a comprehensive survey of architectures, applications, and future directions,.

Engineering Trustworthy Agentic AI for Critical Systems Agentic AI: a comprehensive survey of architectures, applications, and future directions,

Reference 60

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Observation d7f9688f-8ad1-4dad-a598-bf4102aaa9ff · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Engineering Trustworthy Agentic AI for Critical Systems Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 61

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Observation a2eaa562-a705-460b-ad80-b271ec37b136 · outbound

This paper cites Humanity's Last Exam.

Engineering Trustworthy Agentic AI for Critical Systems Humanity's Last Exam

Reference 62

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Observation 3d872964-bc73-41e2-ae80-dbe8e96ee5a9 · outbound

This paper cites AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents.

Engineering Trustworthy Agentic AI for Critical Systems AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents

Reference 63

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Observation e8642101-9b9b-4362-bdef-5a95a2f8652c · outbound

This paper cites A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control.

Engineering Trustworthy Agentic AI for Critical Systems A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control

Reference 64

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source=pdf_text observed=2026-08-01T15:07:31.311738Z digest=sha256:1104d7dd02dc11070801ab97ecd7a8a9fd53270285af3ef6e80e79bb91a8a776

Observation 71f4ccb9-e3e5-49ce-b216-364015ad4522 · outbound

This paper cites Generative ai for enhanced cybersecurity: building a zero- trust architecture with agentic ai,.

Engineering Trustworthy Agentic AI for Critical Systems Generative ai for enhanced cybersecurity: building a zero- trust architecture with agentic ai,

Reference 65

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Observation 40a12a84-c1bd-4b87-b733-385892ab9952 · outbound

This paper cites The mask benchmark: Disentangling honesty from accuracy in ai systems,.

Engineering Trustworthy Agentic AI for Critical Systems The mask benchmark: Disentangling honesty from accuracy in ai systems,

Reference 66

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source=pdf_text observed=2026-08-01T15:07:31.473031Z digest=sha256:1b75e05aa6574b45fc7a7337c9c5d4c436648ad5b0bd8aead00cb67b5f0f9a38

Observation 8251470e-5d15-4a7a-ac51-cb351c07fd6b · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Engineering Trustworthy Agentic AI for Critical Systems HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 67

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Observation e754c177-9f83-470b-a6fa-020e9e772b72 · outbound

This paper cites Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents.

Engineering Trustworthy Agentic AI for Critical Systems Claw-Eval: Towards Trustworthy Evaluation of Autonomous Agents

Reference 68

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Observation a4d2a20f-589e-49f3-9ea6-da723c4656ed · outbound

This paper cites Composable trust in agentic ai: Bridging architectural capability and system-level assurance,.

Engineering Trustworthy Agentic AI for Critical Systems Composable trust in agentic ai: Bridging architectural capability and system-level assurance,

Reference 69

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Observation 45bf2504-a152-44a4-86ad-73423d08a4df · outbound

This paper cites (2025) RagaAI AAEF (Agentic Application Evaluation Framework).

Engineering Trustworthy Agentic AI for Critical Systems (2025) RagaAI AAEF (Agentic Application Evaluation Framework)

Reference 70

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Observation 09c9587d-bfb7-40c7-a75e-d9b6abe39501 · outbound

This paper cites Whitepaper: Agentic application evaluation framework (AAEF),.

Engineering Trustworthy Agentic AI for Critical Systems Whitepaper: Agentic application evaluation framework (AAEF),

Reference 71

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Observation c42336f5-3645-43ae-9c27-6004a2b6d27f · outbound

This paper cites Starkloff, S.

Engineering Trustworthy Agentic AI for Critical Systems Starkloff, S

Reference 72

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Observation 5d4506c4-9a80-440f-b780-160d1972321a · outbound

This paper cites Morales Aguilera.

Engineering Trustworthy Agentic AI for Critical Systems Morales Aguilera

Reference 73

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Observation c74c1519-b724-4d5e-b9fb-c6f5cbf83a5e · outbound

This paper cites (2025, May) MDR vs.

Engineering Trustworthy Agentic AI for Critical Systems (2025, May) MDR vs

Reference 74

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Observation d69327b1-aa31-4500-9623-1c1c07bd6f15 · outbound

This paper cites ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents.

Engineering Trustworthy Agentic AI for Critical Systems ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents

Reference 75

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Observation 7a109ad4-283a-4d84-b594-245c88b046c9 · outbound

This paper cites successes.

Engineering Trustworthy Agentic AI for Critical Systems successes

Reference 76

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Observation 44ed48ee-c265-480a-9966-2e7561ad9030 · outbound

This paper cites Evaluating agentic ai systems: A balanced framework for performance, robustness, safety and beyond,.

Engineering Trustworthy Agentic AI for Critical Systems Evaluating agentic ai systems: A balanced framework for performance, robustness, safety and beyond,

Reference 77

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Observation f1db35ca-f30c-416d-ac05-64791782712b · outbound

This paper cites Technical Report: Evaluating Goal Drift in Language Model Agents.

Engineering Trustworthy Agentic AI for Critical Systems Technical Report: Evaluating Goal Drift in Language Model Agents

Reference 78

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Observation 3005fecb-9f1b-4cb5-9570-626f4737223f · outbound

This paper cites α 3-bench: A unified benchmark of safety, robustness, and efficiency for llm-based uav agents over 6g networks,.

Engineering Trustworthy Agentic AI for Critical Systems α 3-bench: A unified benchmark of safety, robustness, and efficiency for llm-based uav agents over 6g networks,

Reference 79

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Observation 6324c058-f995-42fe-b8b6-2a1b1d0eb78a · outbound

This paper cites AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses.

Engineering Trustworthy Agentic AI for Critical Systems AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses

Reference 80

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Engineering Trustworthy Agentic AI for Critical Systems Unresolved cited work

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Engineering Trustworthy Agentic AI for Critical Systems Unresolved cited work

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Engineering Trustworthy Agentic AI for Critical Systems Unresolved cited work

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Engineering Trustworthy Agentic AI for Critical Systems Chain-of-trigger: An agentic backdoor that paradoxically enhances agentic robustness,

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Engineering Trustworthy Agentic AI for Critical Systems An interpretable federated learning control framework design for smart grid resilience,

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Engineering Trustworthy Agentic AI for Critical Systems Evaluating interpretable kolmogorov–arnold network controllers for smart grid resilience,

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Engineering Trustworthy Agentic AI for Critical Systems Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

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Engineering Trustworthy Agentic AI for Critical Systems Available: https://arxiv.org/abs/2510.08238

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Engineering Trustworthy Agentic AI for Critical Systems PowerAgent: A road map toward agentic intel- ligence in power systems: Foundation model, model context protocol, and workflow,

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Engineering Trustworthy Agentic AI for Critical Systems Crucial role of foundation models in enhancing the interaction of AI and power sys- tems: Achieving integrated frameworks,

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Engineering Trustworthy Agentic AI for Critical Systems Agentic artificial intelligence for smart grids: A comprehensive review of autonomous, safe, and explainable control frameworks,

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Engineering Trustworthy Agentic AI for Critical Systems Inertia-informed federated learning control framework for distributed smart grid resilience,

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Engineering Trustworthy Agentic AI for Critical Systems A large language model for advanced power dispatch,

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Engineering Trustworthy Agentic AI for Critical Systems Testing fine-tuned large language models for power system analysis,

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Engineering Trustworthy Agentic AI for Critical Systems X-GridAgent: An LLM-powered agentic AI system for assisting power grid analysis,

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Engineering Trustworthy Agentic AI for Critical Systems GridMind: LLMs-powered agents for power system analysis and operations,

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Engineering Trustworthy Agentic AI for Critical Systems Agentic AI systems in electrical engineering: Current state-of-the-art and challenges,

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Observation 524fb984-abaf-4bff-9319-05a0c4da7aca · outbound

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Engineering Trustworthy Agentic AI for Critical Systems DrAgent: An agentic approach to fault analysis in power grids using large language models,

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Engineering Trustworthy Agentic AI for Critical Systems Agentic planning for power system simulation task orchestrations based on multi-agent systems,

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Engineering Trustworthy Agentic AI for Critical Systems Enhancing LLMs for power system simu- lations: A feedback-driven multi-agent framework,

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Engineering Trustworthy Agentic AI for Critical Systems PowerChain: Automating distribution grid analysis with agentic AI workflows,

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Observation d1974226-9fa8-4fea-a2e4-616600aeb542 · outbound

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Engineering Trustworthy Agentic AI for Critical Systems Control barrier functions: Theory and applications,

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