Paper Citation Record · LEDGER

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 4 inbound Pith citation observations for arXiv:2507.06323.

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

pith.paper-citation-record.v1
2507.06323 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:12:25.287588Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T16:22:23.857438Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

59 of 59 outbound references displayed

verified exact2
verified fuzzy36
unresolved21
parse uncertain0
malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation dc585828-52c2-4e24-b44c-f38069accc36 · outbound

This paper cites Chain-of- thought prompting elicits reasoning in large language models,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Chain-of- thought prompting elicits reasoning in large language models,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.823365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a83cbae-e6e1-4bf7-b41c-ca7f2f374239 · outbound

This paper cites A survey on large language model based autonomous agents,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms A survey on large language model based autonomous agents,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.787972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b80b2ae-3ea3-48b9-b910-34a72a1b7620 · outbound

This paper cites The rise and potential of large language model based agents: A survey,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms The rise and potential of large language model based agents: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.744000Z

Source-reported events for the cited work

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Observation d7f66e71-0099-4cf2-ae28-58c4040a5f4c · outbound

This paper cites Llm- based agentic systems in medicine and healthcare,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Llm- based agentic systems in medicine and healthcare,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.690977Z

Source-reported events for the cited work

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Observation ae352158-f003-4de5-b2a7-bc06bb9535d4 · outbound

This paper cites Trends of ai in financial services and its applications,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Trends of ai in financial services and its applications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.647606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3025e86-7422-47ba-986b-96f285317b3c · outbound

This paper cites Guardrails for large language models: A review of techniques and challenges,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Guardrails for large language models: A review of techniques and challenges,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.610482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 194cb6a6-cc8c-4c3c-b7f0-26ab9562aff9 · outbound

This paper cites Superagency in the workplace: Empowering people to unlock ai’s full potential,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Superagency in the workplace: Empowering people to unlock ai’s full potential,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.563666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6dddc414-a94f-48d3-b476-5213ee8ce759 · outbound

This paper cites TinyAgent: Function Calling at the Edge.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms TinyAgent: Function Calling at the Edge

Reference 8

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Source-reported events for the cited work

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Observation 0acf3b10-8967-4569-9e1b-43aace7af954 · outbound

This paper cites An llm compiler for parallel function calling,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms An llm compiler for parallel function calling,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.502797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11684f3e-eed5-4124-9ff1-cf754ac496e1 · outbound

This paper cites Microsoft copilot and anthropic claude ai in education and library service,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Microsoft copilot and anthropic claude ai in education and library service,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.467522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b4aeb1b6-42d4-49fd-8e36-9a8ec02dfdae · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:22.866264Z

Source-reported events for the cited work

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Observation 4941f215-fcae-4a57-a01e-eb1d0761141e · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:22.873103Z

Source-reported events for the cited work

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Observation 4f38b878-edae-449d-b926-42a765313f50 · outbound

This paper cites Jailbreaking black box large language models in twenty queries,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Jailbreaking black box large language models in twenty queries,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.434731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ee4e6f2-7cd7-497b-b623-98bf6ffa8b58 · outbound

This paper cites Security Concerns for Large Language Models: A Survey.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Security Concerns for Large Language Models: A Survey

Reference 14

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Source-reported events for the cited work

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Observation 1e485ce9-9a34-46ae-93d7-3f75e51899f3 · outbound

This paper cites InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Reference 15

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Source-reported events for the cited work

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Observation dc4d3fcb-9ff1-48bd-a580-d292c5cbe81d · outbound

This paper cites Agent- dojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Agent- dojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.407797Z

Source-reported events for the cited work

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Observation d70c4c11-6f58-4a53-84d6-f1905a37804f · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:22.912261Z

Source-reported events for the cited work

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Observation e6feb5b5-c997-49a9-b090-13f7ab1e35c7 · outbound

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

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms ReAct: Synergizing Reasoning and Acting in Language Models

Reference 18

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Source-reported events for the cited work

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Observation fb1fea16-61ed-42a0-94e1-fdea8e0a6110 · outbound

This paper cites Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Safe RLHF: Safe Reinforcement Learning from Human Feedback

Reference 19

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Source-reported events for the cited work

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Observation a8ef2939-ae65-48a3-acb7-4b158638467e · outbound

This paper cites Llm-agent-umf: Llm-based agent unified mod- eling framework for seamless integration of multi active/passive core-agents,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Llm-agent-umf: Llm-based agent unified mod- eling framework for seamless integration of multi active/passive core-agents,

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:12:26.332412Z

Source-reported events for the cited work

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Observation 81543be5-060c-4908-a8f5-81c9cc76f904 · outbound

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

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 21

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Source-reported events for the cited work

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Observation 74246ff1-e740-49a5-b501-4da057e9398f · outbound

This paper cites A comprehensive overview of backdoor attacks in large language models within communication networks,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms A comprehensive overview of backdoor attacks in large language models within communication networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.373124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69c0d81a-63c5-48c2-9ca0-2853767bbe8e · outbound

This paper cites Large language model supply chain: Open prob- lems from the security perspective,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Large language model supply chain: Open prob- lems from the security perspective,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.352768Z

Source-reported events for the cited work

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Observation dd8f7104-56ce-4e61-99e2-8d72edd28033 · outbound

This paper cites Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Demystifying LLM Supply Chain Vulnerabilities in the Wild: Distribution, Root Cause, and Real-World Impact

Reference 24

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Observation e8fc17fc-b3a3-4c49-a559-308b4e0e9750 · outbound

This paper cites Identifying and mitigating vulnerabilities in llm-integrated applications,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Identifying and mitigating vulnerabilities in llm-integrated applications,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:31.226795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6e5ecc03-9127-4ae6-94e1-2bf4f4114726 · outbound

This paper cites Ifrah,Getting Started with Azure OpenAI: Deploying and Managing Azure AI and Azure OpenAI Solutions.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Ifrah,Getting Started with Azure OpenAI: Deploying and Managing Azure AI and Azure OpenAI Solutions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:30.988000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 400f5e56-5de2-4c47-9c7d-e04aacab67da · outbound

This paper cites Model context protocol (mcp): Landscape, security threats, and future research directions,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Model context protocol (mcp): Landscape, security threats, and future research directions,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:30.773330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f22b498b-48c8-4e0b-abb9-f6f194376336 · outbound

This paper cites A descriptive study of microsoft’s threat modeling technique,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms A descriptive study of microsoft’s threat modeling technique,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:30.571742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b0874b2-7f8d-43a0-b11c-7e937cc8cca1 · outbound

This paper cites Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents

Reference 29

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This paper cites Addressing bias in big data and ai for health care: A call for open science,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Addressing bias in big data and ai for health care: A call for open science,

Reference 30

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Observation eeaecc3e-e835-432d-a9de-7898ce1d66a2 · outbound

This paper cites Technical guide to information security testing and assessment,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Technical guide to information security testing and assessment,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:30.198262Z

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Observation ac5b0533-5d66-4209-996d-735e016d9949 · outbound

This paper cites An introduction to information security,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms An introduction to information security,

Reference 32

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This paper cites A systematic litera- ture review and meta-analysis on artificial intelligence in penetration testing and vulnerability assessment,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms A systematic litera- ture review and meta-analysis on artificial intelligence in penetration testing and vulnerability assessment,

Reference 33

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This paper cites Large language model for vulnerability detection: Emerg- ing results and future directions,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Large language model for vulnerability detection: Emerg- ing results and future directions,

Reference 34

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Observation ced57e2d-97f7-488e-b21d-9101c6bd855c · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 35

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Observation 110afdba-9838-4a69-b7bb-e1a411fa62da · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 36

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This paper cites Cyber signals: Defending against cyber threats with the latest research, insights, and trends,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Cyber signals: Defending against cyber threats with the latest research, insights, and trends,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:29.193809Z

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Observation d64bb768-d071-4aa0-ae2f-45aaebe1bf57 · outbound

This paper cites Enhancing security and scalability by ai/ml workload optimization in the cloud,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Enhancing security and scalability by ai/ml workload optimization in the cloud,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:29.046855Z

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Observation 4d709654-3fcc-4609-8f29-8950df6daced · outbound

This paper cites A Grading Rubric for AI Safety Frameworks.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms A Grading Rubric for AI Safety Frameworks

Reference 39

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Observation 0b7c81ad-5b12-4e7b-8545-2ac328f0991c · outbound

This paper cites Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Breaking the Loop: Detecting and Mitigating Denial-of-Service Vulnerabilities in Large Language Models

Reference 40

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Observation 9d98ec79-afb2-4b6d-93cc-3883821e0c43 · outbound

This paper cites IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems

Reference 41

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This paper cites Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey,

Reference 42

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Observation 8ea48ba4-f168-44f7-8593-120ac5269e44 · outbound

This paper cites Advancing the safety, performance, and adaptability of large language models: Re- view of fine-tuning and guardrails,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Advancing the safety, performance, and adaptability of large language models: Re- view of fine-tuning and guardrails,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:28.638491Z

Source-reported events for the cited work

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Observation 215323b5-c3d0-48fa-ae43-bf1aaf11b527 · outbound

This paper cites Design Patterns for Securing LLM Agents against Prompt Injections.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Design Patterns for Securing LLM Agents against Prompt Injections

Reference 44

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Source-reported events for the cited work

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This paper cites A quantitative security evaluation and analysis model for web appli- cations based on owasp application security verification standard,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms A quantitative security evaluation and analysis model for web appli- cations based on owasp application security verification standard,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:28.445953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03799863-5743-47a7-bba8-f049e08e8b7d · outbound

This paper cites Comparative evaluation of approaches & tools for effective security testing of web applications,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Comparative evaluation of approaches & tools for effective security testing of web applications,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:28.277143Z

Source-reported events for the cited work

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Observation e4f12fa9-52f5-4ae7-8c12-95f7c97d4b19 · outbound

This paper cites Swiss cheese model for ai safety: A taxonomy and reference architecture for multi-layered guardrails of foundation model based agents,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Swiss cheese model for ai safety: A taxonomy and reference architecture for multi-layered guardrails of foundation model based agents,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:28.087576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e010e163-ad4e-46d5-95a9-e8fa5ee684f7 · outbound

This paper cites Research on webassembly runtimes: A survey,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Research on webassembly runtimes: A survey,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:27.883668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6057064e-66e9-4737-abe8-02ba96b82a12 · outbound

This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:27.695893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 054220b3-4b1b-47d9-9683-c6c3b325b51b · outbound

This paper cites Trism for agentic ai: A review of trust, risk, and security management in llm-based agentic multi-agent systems,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Trism for agentic ai: A review of trust, risk, and security management in llm-based agentic multi-agent systems,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:24.580183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ec2462a-ab02-4cee-9649-e1bad9a4f131 · outbound

This paper cites Building A Secure Agentic AI Application Leveraging A2A Protocol.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Building A Secure Agentic AI Application Leveraging A2A Protocol

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:24.638640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d5ed24-76a1-4d5a-9d43-344cdd1db70a · outbound

This paper cites From recon to report: A multi-agent system to harden software systems,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms From recon to report: A multi-agent system to harden software systems,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:27.511180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7c48adc9-3ffd-4292-a53c-bb1250b46ef5 · outbound

This paper cites An inter-agent communication protocol for remote pro- grammable routers,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms An inter-agent communication protocol for remote pro- grammable routers,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:27.323739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2574a20e-7b2b-4f39-ba1a-36352df1466d · 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).

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms 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 54

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:24.913965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a1df70c-884c-44d5-98bf-d6d81e9a324c · outbound

This paper cites REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:25.026396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940d9845-b842-49df-932c-53f3b6daa02f · outbound

This paper cites Exploring applicability of llm-powered autonomous agents to solve real-life problems: Microsoft entra id administration agent (mean),.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Exploring applicability of llm-powered autonomous agents to solve real-life problems: Microsoft entra id administration agent (mean),

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:26.895783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85d1fa9d-c139-4e54-82c6-e5113aeb8fd4 · outbound

This paper cites Ai agents and business workflow,.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Ai agents and business workflow,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:12:27.127699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9eba2bda-8ca7-486d-b221-d6e3fdc88e6a · outbound

This paper cites MARCO: Multi-Agent Real-time Chat Orchestration.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms MARCO: Multi-Agent Real-time Chat Orchestration

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:12:25.537883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3ef5ece-ebb2-4a03-b752-2053ca8b8342 · outbound

This paper cites Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:25.287588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 924101e4-0ab0-4a3a-9abd-6f8b927b4c61 · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:15:55.149878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea9ee587-932a-4b72-8c3a-0561cc5184bd · inbound

MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security cites this paper.

MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:10:46.776527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2c16454-fe69-4978-a19e-ee75efcac0f0 · inbound

Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning cites this paper.

Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:59:49.651726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4860675-e085-447a-9f07-a689cd75cd1f · inbound

When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents cites this paper.

When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:24:55.174155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.