AgenticVM: Agentic AI for Adaptive Software Vulnerability Management | Paper Citation Record

Observation f0d3f69d-5b4e-4369-8ebd-da31423bcb35 · outbound

This paper cites Microservice vulnerability analysis: A literature review with empirical insights.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Microservice vulnerability analysis: A literature review with empirical insights

Reference 1

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Observation 80f54e33-38a3-4abc-a0e4-4052ec161d18 · outbound

This paper cites A review on c3i systems’ security: Vulnerabilities, attacks, and countermeasures.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management A review on c3i systems’ security: Vulnerabilities, attacks, and countermeasures

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.490159Z

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Observation a00b1eac-0d83-4a21-9544-55afb8c78ef7 · outbound

This paper cites Towards deep learning enabled cybersecurity risk assessment for microservice archi- tectures.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Towards deep learning enabled cybersecurity risk assessment for microservice archi- tectures

Reference 3

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Observation 991543c7-27c7-429d-9ed4-1eb77cdf5d87 · outbound

This paper cites A brief study of wannacry threat: Ransomware attack 2017.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management A brief study of wannacry threat: Ransomware attack 2017

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.633912Z

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Observation e5428305-8d74-4545-b957-b573f714b7d7 · outbound

This paper cites The matter of heartbleed.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management The matter of heartbleed

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.649574Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9c8614cb-127c-4c3c-a058-0ebed22cbc58 · outbound

This paper cites What skills do cybersecurity professionals need?.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management What skills do cybersecurity professionals need?

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.594139Z

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Observation 48bade4f-bee9-4c9a-a3e9-167a24fc6737 · outbound

This paper cites Chatnvd: Advancing cybersecurity vulnerability assessment with large language models.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Chatnvd: Advancing cybersecurity vulnerability assessment with large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.637163Z

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Observation b73f4b94-4a0c-4a51-a8ce-bc5e3be40a2b · outbound

This paper cites National vulnerability database.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management National vulnerability database

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.600051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 36c8857b-62a9-4c3a-8c8c-e4819aafe232 · outbound

This paper cites MVDe- tecter: Vulnerability primitive-based general memory vulnerability de- tection.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management MVDe- tecter: Vulnerability primitive-based general memory vulnerability de- tection

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.579387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b450ca1-efa6-4806-9fe4-fd134e3e1c20 · outbound

This paper cites Automatic vulnerability classification using machine learning.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Automatic vulnerability classification using machine learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.585383Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a71d5eb-517d-41be-8640-2cfaf2e5d5da · outbound

This paper cites Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-11T11:01:03.133579Z

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Observation 76b99ef2-3244-42ca-b7be-6cbbeccaa5cc · outbound

This paper cites European union vul- nerability database.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management European union vul- nerability database

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.588371Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 14e6908a-fffd-44a6-9cd8-4b6c09c8adeb · outbound

This paper cites LibVulnWatch: A deep assessment agent system and leaderboard for uncovering hidden vulnerabilities in open-source AI libraries.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management LibVulnWatch: A deep assessment agent system and leaderboard for uncovering hidden vulnerabilities in open-source AI libraries

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.596920Z

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Observation 9c84a0bb-9d3d-49cb-94e2-9d9c0cbd322b · outbound

This paper cites Securing agentic AI: A comprehensive threat model and mitigation framework for generative AI agents.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Securing agentic AI: A comprehensive threat model and mitigation framework for generative AI agents

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.569905Z

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Observation 3f1aadd3-fa27-4d57-8300-224dba0b943e · outbound

This paper cites Suspicious activity detection model in bank transactions using deep learning with fog computing infrastructure.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Suspicious activity detection model in bank transactions using deep learning with fog computing infrastructure

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.578543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64a77c95-bd50-4846-a6e5-95c371bcdae3 · outbound

This paper cites LLM agentic workflow for automated vulnerability detection and remediation in infrastructure-as-code.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management LLM agentic workflow for automated vulnerability detection and remediation in infrastructure-as-code

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.565144Z

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Observation 1747d78a-d631-46f8-bd1b-6e2949db8a0a · outbound

This paper cites Framework for cloud data security using agentic AI.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Framework for cloud data security using agentic AI

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.553492Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a608696-b18e-4d18-a564-2ce6ee5f3b88 · outbound

This paper cites Agentic AI workflows in cybersecurity: Opportunities, challenges, and governance via the MCP model.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Agentic AI workflows in cybersecurity: Opportunities, challenges, and governance via the MCP model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.547532Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c5d48e59-2435-42e6-804c-7727ada548ba · outbound

This paper cites VulDeePecker: A deep learning-based system for vulner- ability detection.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management VulDeePecker: A deep learning-based system for vulner- ability detection

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.562097Z

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Observation 21091335-a293-4df3-b702-ac3a3ac4e5e9 · outbound

This paper cites AI driven IoMT security framework for advanced mal- ware and ransomware detection in SDN.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management AI driven IoMT security framework for advanced mal- ware and ransomware detection in SDN

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.603325Z

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Observation 0769b268-9193-475f-93c2-03d0672259fd · outbound

This paper cites PyRIT: A framework for security risk identifi- cation and red teaming in generative AI system.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management PyRIT: A framework for security risk identifi- cation and red teaming in generative AI system

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.686469Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef1910c1-6327-4d15-99bc-9e45429d670c · outbound

This paper cites VUDENC: Vulnerability detection with deep learning on a natural codebase for python.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management VUDENC: Vulnerability detection with deep learning on a natural codebase for python

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.711531Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ddc371db-7715-4489-8be7-baaaac8076cd · outbound

This paper cites Automated software vulnerability detection based on hybrid neural network.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Automated software vulnerability detection based on hybrid neural network

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.714585Z

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Observation 283e6798-1043-47e5-b9c6-58a89fad4292 · outbound

This paper cites An automatic method for CVSS score prediction using vulnerabilities description.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management An automatic method for CVSS score prediction using vulnerabilities description

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.538617Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5964d0d3-57d6-4fd6-a80c-be3b20a39655 · outbound

This paper cites Automation of vulnerability classification from its description using machine learning.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Automation of vulnerability classification from its description using machine learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.528287Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d21c85e5-4b18-4cab-ba55-1a48deb2401c · outbound

This paper cites Fighting n-day vulnerabilities with automated CVSS vector prediction at disclosure.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Fighting n-day vulnerabilities with automated CVSS vector prediction at disclosure

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.693289Z

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Observation 2480bdbb-6398-43db-b394-2cce8a17dff1 · outbound

This paper cites Learning to predict severity of software vulnerability using only vulnerability description.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Learning to predict severity of software vulnerability using only vulnerability description

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.696189Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ca64f2e6-4440-4dba-9e29-306c19980624 · outbound

This paper cites Improving vul- nerability remediation through better exploit prediction.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Improving vul- nerability remediation through better exploit prediction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.699604Z

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Observation f31a54a3-984b-4670-80c2-7e818ce45fae · outbound

This paper cites An approach to discover and assess vulnerability severity automatically in cyber-physical systems.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management An approach to discover and assess vulnerability severity automatically in cyber-physical systems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.702815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 620faf30-ffe4-4b6e-a4af-f57a11d444d8 · outbound

This paper cites On the use of fine-grained vulnerable code statements for software vulnerability assessment models.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management On the use of fine-grained vulnerable code statements for software vulnerability assessment models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.708532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd6c5f01-153a-4910-889d-cbf403e43b24 · outbound

This paper cites Automat- ically assessing vulnerabilities discovered by compositional analysis.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Automat- ically assessing vulnerabilities discovered by compositional analysis

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.705604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 533448bb-a3a0-40ee-a3dc-32a363fa932d · outbound

This paper cites Summariz- ing vulnerabilities’ descriptions to support experts during vulnerability assessment activities.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Summariz- ing vulnerabilities’ descriptions to support experts during vulnerability assessment activities

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:45:56.754150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15e7ead0-9397-45fd-b767-cca9f83ed9cf · outbound

This paper cites Software vulnerability prioriti- zation using vulnerability description.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Software vulnerability prioriti- zation using vulnerability description

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.683465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3cb831cf-4e7e-460c-a557-194055eba115 · outbound

This paper cites System security assessment method integrating risk relationships of open source software.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management System security assessment method integrating risk relationships of open source software

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.689715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 88356ad5-33c3-4868-b8c9-453124056de9 · outbound

This paper cites Assisting vulnerability detection by prioritizing crashes with incremental learning.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Assisting vulnerability detection by prioritizing crashes with incremental learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.674493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c867a5b1-56f4-4ca5-8005-d786d52aabbd · outbound

This paper cites Harnessing the efficiency of reformers to detect software vulnerabilities.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Harnessing the efficiency of reformers to detect software vulnerabilities

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.677433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b67386e-f9c4-4302-b8a9-2a1df6b22cf4 · outbound

This paper cites VMSecDefender: Virtual machine malicious processes detection by using GRU.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management VMSecDefender: Virtual machine malicious processes detection by using GRU

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.664593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e184a71-17c6-4668-9950-d003d5077c99 · outbound

This paper cites Source code vulnerabil- ity detection using vulnerability dependency representation graph.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Source code vulnerabil- ity detection using vulnerability dependency representation graph

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.661542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac0edee3-1a48-4545-9c75-b725e2c756e0 · outbound

This paper cites Automatic detection and cor- rection of vulnerabilities using machine learning.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Automatic detection and cor- rection of vulnerabilities using machine learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.658347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 86da4c13-4541-4023-8c46-9174b455a749 · outbound

This paper cites DetectBERT: Code vulnerability detection.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management DetectBERT: Code vulnerability detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.652288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09b2e904-7536-49fa-9a99-6858c9d49460 · outbound

This paper cites LLM agents for vulnerability identification and verification of CVEs.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management LLM agents for vulnerability identification and verification of CVEs

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.680371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bd28aa6a-6438-4494-bb8b-258cda817e7a · outbound

This paper cites Dynamic vulnerability assessment due to transient instability based on data mining analysis for smart grid applications.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Dynamic vulnerability assessment due to transient instability based on data mining analysis for smart grid applications

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.631573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6c637fc-a14d-47bb-9b4c-d6a182761c46 · outbound

This paper cites Approach to forming vulnerability datasets for fine-tuning AI agents.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Approach to forming vulnerability datasets for fine-tuning AI agents

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.627658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e7bb40ea-0065-420f-b71b-d4de9bfeb989 · outbound

This paper cites Cyber incidents risk assessments using feature analysis.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Cyber incidents risk assessments using feature analysis

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.640250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0959d44d-5f7b-46bd-85da-efa09e57bf2a · outbound

This paper cites Automated vulnerability detection in source code using deep representation learning.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Automated vulnerability detection in source code using deep representation learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.620259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 96736bef-f916-4a66-9f9e-14d1ad9caa65 · outbound

This paper cites Design and evaluation of an autonomous cyber defence agent using DRL and an augmented LLM.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Design and evaluation of an autonomous cyber defence agent using DRL and an augmented LLM

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.616935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 00366622-a8b6-4b5c-a02e-929ab4e41ae1 · outbound

This paper cites Research on design and implementation of an intelligent network asset search system based on LLM agent and FOFA.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Research on design and implementation of an intelligent network asset search system based on LLM agent and FOFA

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.623676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bdd7a14c-cb1a-4592-8851-bf262662b05e · outbound

This paper cites Dynamic neural control flow execution: an agent-based deep equilib- rium approach for binary vulnerability detection.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Dynamic neural control flow execution: an agent-based deep equilib- rium approach for binary vulnerability detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.635488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6a6f5f37-a371-406d-96fe-c1e87229443b · outbound

This paper cites Agent4Vul: Multimodal LLM agents for smart contract vulnerability detection.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Agent4Vul: Multimodal LLM agents for smart contract vulnerability detection

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.611847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1e62158a-639e-417f-b1ed-b1f8fa29d58b · outbound

This paper cites Scalar: Self-calibrating adaptive latent attention representation learning.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Scalar: Self-calibrating adaptive latent attention representation learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.603041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 615ac251-31a8-456b-ad68-7cd98a98050a · outbound

This paper cites Towards resource- efficient reactive and proactive auto-scaling for microservice architec- tures.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Towards resource- efficient reactive and proactive auto-scaling for microservice architec- tures

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.643630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dd8b2fe-fc1f-4b00-a7f8-a22f9db52067 · outbound

This paper cites Smart hpa: A resource-efficient horizontal pod auto-scaler for microservice architectures.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Smart hpa: A resource-efficient horizontal pod auto-scaler for microservice architectures

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.646713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 379d09aa-2fd5-4b9d-aa6e-1842bb9ff8b9 · outbound

This paper cites Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Resilient Auto-Scaling of Microservice Architectures with Efficient Resource Management

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.121875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 905024f8-ffba-4e2f-a5ff-b42cee88cc7a · outbound

This paper cites Co-evolutionary defence of active directory attack graphs via gnn-approximated dynamic pro- gramming.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Co-evolutionary defence of active directory attack graphs via gnn-approximated dynamic pro- gramming

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.100691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e65d4bc7-3dcb-4665-9e05-2456f12738f8 · outbound

This paper cites A survey on immersive cyber situational awareness systems.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management A survey on immersive cyber situational awareness systems

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.600412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3cdda1e9-3363-4cc3-8cae-6c9cbdd7e24e · outbound

This paper cites Machine Learning Driven Smishing Detection Framework for Mobile Security.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Machine Learning Driven Smishing Detection Framework for Mobile Security

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.183904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c92f1fa-1dda-46e8-9965-95e69771d7c4 · outbound

This paper cites Regimefolio: A regime aware ml system for sectoral portfolio optimization in dynamic markets.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Regimefolio: A regime aware ml system for sectoral portfolio optimization in dynamic markets

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.605994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0491bbd7-2894-42c7-a67d-69b5c2190412 · outbound

This paper cites 3s-trader: A multi-llm framework for adaptive stock scoring, strategy, and selection in portfolio optimization.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management 3s-trader: A multi-llm framework for adaptive stock scoring, strategy, and selection in portfolio optimization

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.141668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e6b8bf1c-cc30-4faa-9413-18414f4a767c · outbound

This paper cites The Future of AI: Exploring the Potential of Large Concept Models.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management The Future of AI: Exploring the Potential of Large Concept Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.127519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 96ff22d5-cd72-4ecf-a1f2-6964d045b064 · outbound

This paper cites "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.116043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0bf0335-1053-44e2-8a0a-754219a9ea55 · outbound

This paper cites Australian bushfire intelligence with ai-driven environmental analytics.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Australian bushfire intelligence with ai-driven environmental analytics

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.107205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e0d70aec-9a32-4461-a82e-fd23a855f2b4 · outbound

This paper cites Robust Partial Least Squares Using Low Rank and Sparse Decomposition.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Robust Partial Least Squares Using Low Rank and Sparse Decomposition

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:01:03.165507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b351a2a-c8db-42cc-a7ac-7cfede56353b · outbound

This paper cites Comparative Analysis of Large Language Models in Healthcare.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Comparative Analysis of Large Language Models in Healthcare

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-11T11:01:03.152271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a9028936-7b8a-448b-a1bb-f2e542c80391 · outbound

This paper cites Towards deep learning enabled cybersecurity risk assessment for microservice archi- tectures.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Towards deep learning enabled cybersecurity risk assessment for microservice archi- tectures

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.614515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6592f68e-d7fa-48df-86e8-05528aa863b5 · outbound

This paper cites Agentic AI: Autonomy, accountability, and the algorithmic society.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Agentic AI: Autonomy, accountability, and the algorithmic society

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.655382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f9379db-68ca-4507-9b7c-efcdc495aef2 · outbound

This paper cites The rise of agentic AI: A review of definitions, frameworks, architectures, ap- plications, evaluation metrics, and challenges.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management The rise of agentic AI: A review of definitions, frameworks, architectures, ap- plications, evaluation metrics, and challenges

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.594923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ef54226-90e9-4c9d-9044-34123bf34f7c · outbound

This paper cites Known ex- ploited vulnerabilities catalog.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Known ex- ploited vulnerabilities catalog

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.668325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12e07f18-368f-43d4-ac28-c9d297c25711 · outbound

This paper cites LangGraph.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management LangGraph

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.671392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ad033c0e-db64-4000-b1a8-bb700d39bf36 · outbound

This paper cites VuMAntic v2.1.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management VuMAntic v2.1

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.623763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c15e6f7-86f9-42b3-8549-4620fb69ee5e · outbound

This paper cites microservices-demo - online boutique.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management microservices-demo - online boutique

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.610431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b70804a-de90-40da-a4f5-deac43d511e4 · outbound

This paper cites Train-ticket.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management Train-ticket

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.607104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b810603-bc8a-4154-9e99-b3d8a790b9f1 · outbound

This paper cites beer-shop.

AgenticVM: Agentic AI for Adaptive Software Vulnerability Management beer-shop

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T05:42:25.630875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers