Combating Data Laundering in LLM Training | Paper Citation Record

Observation 05ac459a-b1bc-4c87-905c-ec52d9f894b3 · outbound

This paper cites The work-averse cyberattacker model: theory and evidence from two million attack signatures.

Combating Data Laundering in LLM Training The work-averse cyberattacker model: theory and evidence from two million attack signatures

Reference 1

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Observation a0d121c6-6ed3-4445-bdbf-80ee96ea8ecd · outbound

This paper cites an unresolved cited work.

Combating Data Laundering in LLM Training Unresolved cited work

Reference 2

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Observation 6d5506c3-f5b5-4910-983a-0f8d4e8e51c0 · outbound

This paper cites Introducing the model context protocol.

Combating Data Laundering in LLM Training Introducing the model context protocol

Reference 3

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Observation 3a7bd041-7041-4307-8f64-4cff778e1ffc · outbound

This paper cites ETDI: Mitigating Tool Squatting and Rug Pull Attacks in Model Context Protocol (MCP) by using OAuth-Enhanced Tool Definitions and Policy-Based Access Control.

Combating Data Laundering in LLM Training ETDI: Mitigating Tool Squatting and Rug Pull Attacks in Model Context Protocol (MCP) by using OAuth-Enhanced Tool Definitions and Policy-Based Access Control

Reference 4

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Observation 8ed6f7c2-a132-4f63-af4e-6ef770a770c9 · outbound

This paper cites Agentbound: Securing execution boundaries of ai agents.

Combating Data Laundering in LLM Training Agentbound: Securing execution boundaries of ai agents

Reference 5

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Observation 2a05d400-a505-4b75-a98c-f07b2f4d8fc2 · outbound

This paper cites an unresolved cited work.

Combating Data Laundering in LLM Training Unresolved cited work

Reference 6

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Observation 1901a945-2876-4ad4-ab4c-0a1f11aa636a · outbound

This paper cites Connect claude code to tools via mcp.

Combating Data Laundering in LLM Training Connect claude code to tools via mcp

Reference 7

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Observation 0a43b471-0f95-4c66-b1e3-846d22e91625 · outbound

This paper cites Introducing claude 4.

Combating Data Laundering in LLM Training Introducing claude 4

Reference 8

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Observation a29735d3-862f-45ec-b1ab-9add40dd3246 · outbound

This paper cites Introducing claude sonnet 4.5.

Combating Data Laundering in LLM Training Introducing claude sonnet 4.5

Reference 9

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Observation bb4ca6d9-6490-4774-b8f0-f9ffb52db7a1 · outbound

This paper cites an unresolved cited work.

Combating Data Laundering in LLM Training Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 7f62aac0-0a3c-4fed-a212-fe5df57b4c2a · outbound

This paper cites Cursor agent.

Combating Data Laundering in LLM Training Cursor agent

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 1dad0932-c650-45a6-8ab6-c095457bbb90 · outbound

This paper cites Cursor directory - cursor rules & mcp servers.

Combating Data Laundering in LLM Training Cursor directory - cursor rules & mcp servers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 8bd95489-1646-4804-9cb1-5d5e6b39a857 · outbound

This paper cites Model context protocol (mcp) | cursor docs.

Combating Data Laundering in LLM Training Model context protocol (mcp) | cursor docs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation a4897877-dbb1-457f-904e-1df03009ac5d · outbound

This paper cites Deepseek-v3.1.

Combating Data Laundering in LLM Training Deepseek-v3.1

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 43bcd556-dd95-498e-8f5a-8afae25b7a1c · 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).

Combating Data Laundering in LLM Training 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 15

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 99d5a936-f809-49ba-9bd3-93cff40c539c · outbound

This paper cites We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems.

Combating Data Laundering in LLM Training We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems

Reference 16

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Observation 9fa8d1ce-63bf-41f1-bc67-1926a5a286f1 · outbound

This paper cites Enhanced prompting framework for code summarization with large language models.

Combating Data Laundering in LLM Training Enhanced prompting framework for code summarization with large language models

Reference 17

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Observation c13c53fb-d8a4-4560-8778-e97e6424fc6d · outbound

This paper cites Mcp json configuration.

Combating Data Laundering in LLM Training Mcp json configuration

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation c202be2b-a41f-4fa2-b289-7fa8a93b1938 · outbound

This paper cites Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling.

Combating Data Laundering in LLM Training Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation c54b3c1f-1603-412d-899e-3e753937d965 · outbound

This paper cites Malguard: towards real-time, accurate, and actionable detection of malicious packages in pypi ecosystem.

Combating Data Laundering in LLM Training Malguard: towards real-time, accurate, and actionable detection of malicious packages in pypi ecosystem

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation f449b5d0-6bc6-4208-8f8e-bc47729667de · outbound

This paper cites Github copilot·your ai pair programmer.

Combating Data Laundering in LLM Training Github copilot·your ai pair programmer

Reference 21

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Observation 6130758d-0314-44f8-af7c-b658bfabd788 · outbound

This paper cites Extending github copilot coding agent with the model context protocol (mcp).

Combating Data Laundering in LLM Training Extending github copilot coding agent with the model context protocol (mcp)

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation d041a9d0-cb85-4cbc-93ac-b2ab0004d30c · outbound

This paper cites Popular mcp servers.

Combating Data Laundering in LLM Training Popular mcp servers

Reference 23

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Observation 510098cc-d8d4-4404-a08e-a873e5a6fd1f · outbound

This paper cites Gemini 3.

Combating Data Laundering in LLM Training Gemini 3

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 08ab3807-8dfa-43ac-bcb4-5e2ed9d783a3 · outbound

This paper cites Gtfobins.

Combating Data Laundering in LLM Training Gtfobins

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 3df02055-7001-41a1-b9f7-1dde4c733267 · outbound

This paper cites A measurement study of model context protocol ecosystem.arXiv preprint arXiv:2509.25292, 2025.

Combating Data Laundering in LLM Training A measurement study of model context protocol ecosystem.arXiv preprint arXiv:2509.25292, 2025

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 9d2eddf3-9cbb-46f6-aa0e-6c4c2629c470 · outbound

This paper cites Large language model based multi-agents: A survey of progress and challenges.

Combating Data Laundering in LLM Training Large language model based multi-agents: A survey of progress and challenges

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation bca28213-e80c-4385-8146-6cbff00a2946 · outbound

This paper cites An empirical study of malicious code in pypi ecosystem.

Combating Data Laundering in LLM Training An empirical study of malicious code in pypi ecosystem

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation b7b3ccf9-06f9-434a-a2af-cc189698804c · outbound

This paper cites MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security.

Combating Data Laundering in LLM Training MCPXKIT: The Unified Toolkit for Analyzing Model Context Protocol Security

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 5daef7eb-3e71-426e-8338-b2104205c814 · outbound

This paper cites damn-vulnerable-mcp-server.

Combating Data Laundering in LLM Training damn-vulnerable-mcp-server

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation aa5779f2-5fcc-49a2-862a-5aa546b7ff71 · outbound

This paper cites Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers.

Combating Data Laundering in LLM Training Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation a3ecf8e0-508c-482d-b464-bf9255f9a93c · outbound

This paper cites Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions.

Combating Data Laundering in LLM Training Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 4d82c420-497d-4432-94dd-e4aa0b5586a8 · outbound

This paper cites Automatic red teaming llm-based agents with model context protocol tools.arXiv preprint arXiv:2509.21011, 2025.

Combating Data Laundering in LLM Training Automatic red teaming llm-based agents with model context protocol tools.arXiv preprint arXiv:2509.21011, 2025

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation c75c0fd0-86a0-4a29-91de-3cd5188fa4e8 · outbound

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

Combating Data Laundering in LLM Training Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 34

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Observation e9cdabe8-d3f6-4a76-8588-df15c6c4b5d9 · outbound

This paper cites Donapi: Malicious npm packages detector using behavior sequence knowledge mapping.

Combating Data Laundering in LLM Training Donapi: Malicious npm packages detector using behavior sequence knowledge mapping

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 4b3c7b8c-618d-4456-afba-3048b981903a · outbound

This paper cites Spiderscan: Practical detection of malicious npm packages based on graph-based behavior modeling and matching.

Combating Data Laundering in LLM Training Spiderscan: Practical detection of malicious npm packages based on graph-based behavior modeling and matching

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation a40de1cd-4982-4fd7-88ab-f541e91c6385 · outbound

This paper cites Profmal: Detecting malicious npm packages by the synergy between static and dynamic analysis.

Combating Data Laundering in LLM Training Profmal: Detecting malicious npm packages by the synergy between static and dynamic analysis

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation c5f84b85-f11b-43f5-98e7-4ac01aa0aea5 · outbound

This paper cites Mcp security notification: Tool poisoning attacks.

Combating Data Laundering in LLM Training Mcp security notification: Tool poisoning attacks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation e0da2f05-164b-48c7-9aa7-f986415b01c8 · outbound

This paper cites Whatsapp mcp exploited: Exfiltrating your message history via mcp.

Combating Data Laundering in LLM Training Whatsapp mcp exploited: Exfiltrating your message history via mcp

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 2a65d71c-abb8-4b74-9aa8-997650ff0193 · outbound

This paper cites mcp-scan.

Combating Data Laundering in LLM Training mcp-scan

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation bece21d7-f78c-4408-ba4d-789b9e0317b4 · outbound

This paper cites Mcip: Protecting mcp safety via model contextual integrity protocol.

Combating Data Laundering in LLM Training Mcip: Protecting mcp safety via model contextual integrity protocol

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 6e550151-a6b6-4ddb-9832-29eba082035a · outbound

This paper cites Joern - the bug hunter’s workbench.

Combating Data Laundering in LLM Training Joern - the bug hunter’s workbench

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation b67edb24-4f37-46f6-ac7e-dd5dc9f5f114 · outbound

This paper cites 3 malicious mcp servers found on pypi.

Combating Data Laundering in LLM Training 3 malicious mcp servers found on pypi

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 82a0f2af-030e-4ee6-b1f1-8f9caf74444b · outbound

This paper cites MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System.

Combating Data Laundering in LLM Training MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System

Reference 44

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Observation 91400008-311c-4f1a-9f18-6fe184ba1b95 · outbound

This paper cites First malicious mcp server found stealing emails in rogue postmark-mcp package.

Combating Data Laundering in LLM Training First malicious mcp server found stealing emails in rogue postmark-mcp package

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 5520f1a4-a157-4caf-b66b-303961e78b03 · outbound

This paper cites The platform for reliable agents.

Combating Data Laundering in LLM Training The platform for reliable agents

Reference 46

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Observation 7b53520e-19dd-43d1-8d1f-271cf2847f97 · outbound

This paper cites We urgently need privilege management in mcp: A measurement of api usage in mcp ecosystems.

Combating Data Laundering in LLM Training We urgently need privilege management in mcp: A measurement of api usage in mcp ecosystems

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation cc76393b-3559-4bf0-8702-029740daca00 · outbound

This paper cites Getting started with model context protocol part 2: Prompts and resources.

Combating Data Laundering in LLM Training Getting started with model context protocol part 2: Prompts and resources

Reference 48

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Observation 56066120-5610-458c-a27d-1ff89a4fa56b · outbound

This paper cites From large to mammoth: A comparative evaluation of large language models in vulnerability detection.

Combating Data Laundering in LLM Training From large to mammoth: A comparative evaluation of large language models in vulnerability detection

Reference 49

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Observation 710dd394-7125-4b51-a979-8a850645e23a · outbound

This paper cites an unresolved cited work.

Combating Data Laundering in LLM Training Unresolved cited work

Reference 50

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Observation 0d5d887d-e306-42bd-a7a5-5eb5f6e66439 · outbound

This paper cites Model context protocol servers.

Combating Data Laundering in LLM Training Model context protocol servers

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation f58a335b-b13e-4d6e-8546-2ac0490e1dde · outbound

This paper cites Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies.

Combating Data Laundering in LLM Training Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 354a8fb7-ca85-45fb-9c5c-afa06fd12253 · outbound

This paper cites Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach.

Combating Data Laundering in LLM Training Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation d9b6e08b-7845-4760-b5eb-cca54db562bc · outbound

This paper cites Backstabber’s knife collection: A review of open source software supply chain attacks.

Combating Data Laundering in LLM Training Backstabber’s knife collection: A review of open source software supply chain attacks

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 4ddb3e56-4233-495d-ae3d-badd469adb83 · outbound

This paper cites Function calling.

Combating Data Laundering in LLM Training Function calling

Reference 55

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Observation 819d361a-6957-4972-96cb-3c47daa3859c · outbound

This paper cites Introducing gpt-5.

Combating Data Laundering in LLM Training Introducing gpt-5

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 64acd801-4c85-47ac-9239-6f9c938ce510 · outbound

This paper cites A distributed vulnerability database for open source.

Combating Data Laundering in LLM Training A distributed vulnerability database for open source

Reference 57

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Observation fde4e144-3aaa-4913-b89f-7ea4477ea9f4 · outbound

This paper cites Mcp server directory.

Combating Data Laundering in LLM Training Mcp server directory

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 1f887e15-9674-4a7f-8cdd-153a9fa103ef · outbound

This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis.

Combating Data Laundering in LLM Training Toolllm: Facilitating large language models to master 16000+ real-world apis

Reference 59

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Observation e5ba2086-4e33-459c-9038-efae9e526a7f · outbound

This paper cites MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits.

Combating Data Laundering in LLM Training MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits

Reference 60

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Observation 04d74758-70bd-4540-a28c-3416ec71ebd8 · outbound

This paper cites A survey on model context protocol: Architecture, state-of-the-art, challenges and future directions.Authorea Preprints, 2025.

Combating Data Laundering in LLM Training A survey on model context protocol: Architecture, state-of-the-art, challenges and future directions.Authorea Preprints, 2025

Reference 61

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Observation 11b0b3fe-7e88-4ae4-8136-edd6976dd837 · outbound

This paper cites Benefits of using mcp over traditional integration methods.

Combating Data Laundering in LLM Training Benefits of using mcp over traditional integration methods

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation fee9b178-5543-43c9-82f8-7c5b68744202 · outbound

This paper cites PromptArmor: Simple yet Effective Prompt Injection Defenses.

Combating Data Laundering in LLM Training PromptArmor: Simple yet Effective Prompt Injection Defenses

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

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Observation 28c19adb-dd4a-4c0c-896b-aa1eff6e33b4 · outbound

This paper cites Smithery - turn scattered context into skills for ai.

Combating Data Laundering in LLM Training Smithery - turn scattered context into skills for ai

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

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Observation b1746f7f-5556-41d5-b84d-9c8cae56776a · outbound

This paper cites Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem.

Combating Data Laundering in LLM Training Beyond the Protocol: Unveiling Attack Vectors in the Model Context Protocol (MCP) Ecosystem

Reference 65

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194603bd-adf2-4a99-8555-d4075af7e884 · outbound

This paper cites Ai-infra-guard.

Combating Data Laundering in LLM Training Ai-infra-guard

Reference 66

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efa81bb-4e16-4a59-bd49-2ea2115c1361 · outbound

This paper cites Mcpguard: Automatically detecting vulnerabilities in mcp servers.arXiv preprint arXiv:2510.23673, 2025.

Combating Data Laundering in LLM Training Mcpguard: Automatically detecting vulnerabilities in mcp servers.arXiv preprint arXiv:2510.23673, 2025

Reference 67

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c44c15-37e4-4e5a-8993-65430161daed · outbound

This paper cites Self-instruct: Aligning language models with self-generated instructions.

Combating Data Laundering in LLM Training Self-instruct: Aligning language models with self-generated instructions

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18acde09-b4fa-46b0-a97e-0ac24fc3cd3d · outbound

This paper cites Mpma: Preference manipulation attack against model context protocol.arXiv preprint arXiv:2505.11154, 2025.

Combating Data Laundering in LLM Training Mpma: Preference manipulation attack against model context protocol.arXiv preprint arXiv:2505.11154, 2025

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af819be4-356d-4566-8935-6d75ca950ea0 · outbound

This paper cites Mcp-guard: A defense framework for model context protocol integrity in large language model applications.arXiv preprint arXiv:2508.10991, 2025.

Combating Data Laundering in LLM Training Mcp-guard: A defense framework for model context protocol integrity in large language model applications.arXiv preprint arXiv:2508.10991, 2025

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd3508ee-a78f-48c5-a149-7a95a57f8744 · outbound

This paper cites A Survey of AI Agent Protocols.

Combating Data Laundering in LLM Training A Survey of AI Agent Protocols

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b38fdf-e8c3-428b-ad2b-e892dc5cc5fe · outbound

This paper cites Mcpsecbench: A systematic security benchmark and playground for testing model context protocols.

Combating Data Laundering in LLM Training Mcpsecbench: A systematic security benchmark and playground for testing model context protocols

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2ef6289-d9ef-4194-b1f9-49a802fce7c1 · outbound

This paper cites an unresolved cited work.

Combating Data Laundering in LLM Training Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 862ac251-af49-4470-adaa-31cbe60db41f · outbound

This paper cites Williams.

Combating Data Laundering in LLM Training Williams

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4102578-c3e3-4de8-a626-36dfac48bd69 · outbound

This paper cites an unresolved cited work.

Combating Data Laundering in LLM Training Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c86c3cb7-258c-4d38-81df-99d8141d6b39 · outbound

This paper cites Parasites in the Toolchain: A Large-Scale Analysis of Attacks on the MCP Ecosystem.

Combating Data Laundering in LLM Training Parasites in the Toolchain: A Large-Scale Analysis of Attacks on the MCP Ecosystem

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab21e0fa-363e-4fb1-ab04-b2da77e5beb7 · outbound

This paper cites When mcp servers attack: Taxonomy, feasibility, and mitigation.arXiv preprint arXiv:2509.24272, 2025.

Combating Data Laundering in LLM Training When mcp servers attack: Taxonomy, feasibility, and mitigation.arXiv preprint arXiv:2509.24272, 2025

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aff4103-fa95-4629-bf51-46b5a31232c0 · outbound

This paper cites –” in the “ID.

Combating Data Laundering in LLM Training –” in the “ID

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-13T14:08:35.474488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

Pith citing papers