Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity | Paper Citation Record

Observation 3122d6bc-57cf-4c66-90a3-9e887465d0cd · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Why Do Multi-Agent LLM Systems Fail?

Reference 1

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Observation b4303ebe-ec30-497d-9ed3-fa9b12059668 · outbound

This paper cites Let the Agent Steer: Closed-Loop Ranking Optimization via Influence Exchange.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Let the Agent Steer: Closed-Loop Ranking Optimization via Influence Exchange

Reference 2

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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This paper cites Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Reference 5

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation 011e530b-c965-467d-9884-bc61fcad0a26 · outbound

This paper cites Gómez, A.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Gómez, A

Reference 7

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Observation 5b78afde-0831-412c-a2ab-cbadc49d27ab · outbound

This paper cites Maxwell Harper and Joseph A.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Maxwell Harper and Joseph A

Reference 8

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Observation e52e806d-7d05-446c-92ef-eab78f4db8fe · outbound

This paper cites OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

Reference 9

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Observation 9a683da6-de20-4caf-9efe-b95b73f4341f · outbound

This paper cites Rossi, Branislav Kveton, Dongruo Zhou, Julian McAuley, and Lina Yao.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Rossi, Branislav Kveton, Dongruo Zhou, Julian McAuley, and Lina Yao

Reference 10

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 11

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Observation f71597fe-86ea-46d8-b771-034a7436c20d · outbound

This paper cites Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.048873Z

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Observation 59eaeefa-68d5-4318-a7a8-091bc77fa2dd · outbound

This paper cites Emergent Social Intelligence Risks in Generative Multi-Agent Systems.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Emergent Social Intelligence Risks in Generative Multi-Agent Systems

Reference 13

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 14

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 15

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Observation 1977d10e-edd1-4207-9423-e3364a2934eb · outbound

This paper cites Beyond Utility: Evaluating LLM as Recommender.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Beyond Utility: Evaluating LLM as Recommender

Reference 16

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation 0886bdba-5516-4cc2-b8d0-77c7f16ca71c · outbound

This paper cites 2025.LangManus: A Community-Driven AI Automation Framework.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity 2025.LangManus: A Community-Driven AI Automation Framework

Reference 19

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Observation 89d322d8-b654-44c1-a876-e688e4963e1c · outbound

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

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems

Reference 20

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 21

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 22

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Observation 73f620cc-c66d-4b0a-a0fb-f8955ab519ba · outbound

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 23

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Observation 1b6d963f-12aa-4677-b10f-4d9438f9dfe5 · outbound

This paper cites Don't Trust Your Upstream: Exploiting LLM Multi-Agent System via Topology-Guided Adversarial Propagation.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Don't Trust Your Upstream: Exploiting LLM Multi-Agent System via Topology-Guided Adversarial Propagation

Reference 24

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Observation 9f445b20-d7c0-49ab-9aa2-a4fa03148c4e · outbound

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 25

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Observation 0e0a5a4f-9b15-43e1-b166-c441d4449e93 · outbound

This paper cites Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs

Reference 26

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Observation a9cd9016-96ca-42ac-8d73-99bd968b4fde · outbound

This paper cites AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:45.379875Z

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Observation 3de6567c-2c76-4499-bf52-ae0d5c9868da · outbound

This paper cites The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems

Reference 28

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Observation fe5d1225-a62d-4596-9f50-3176b9b495cb · outbound

This paper cites BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity BlindGuard: Safeguarding LLM-based Multi-Agent Systems under Unknown Attacks

Reference 29

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Observation 7e78c1c1-df0a-4678-8c2e-f279353e119c · outbound

This paper cites Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:45.298537Z

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Observation 5ea070ab-7bea-4702-a35a-58b1a9b66b95 · outbound

This paper cites Exploring Backdoor Attack and Defense for LLM-empowered Recommendations.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

Reference 31

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity A Survey on LLM-powered Agents for Recommender Systems

Reference 37

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation 2eaa5503-accf-40d0-baa6-04bfe0564fff · outbound

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 39

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems

Reference 40

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems

Reference 43

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation e69bc127-7d6e-4261-86b0-333670b84d27 · outbound

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Multi-Agent Systems Execute Arbitrary Malicious Code

Reference 45

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems

Reference 46

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity User Behavior Simulation with Large Language Model based Agents

Reference 47

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems

Reference 48

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation fea13fb5-8067-439e-9d30-f02ebbfa8b5a · outbound

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity RecMind: Large Language Model Powered Agent For Recommendation

Reference 50

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This paper cites Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:44.212959Z

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

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:44.187600Z

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Observation 0558f9d5-8443-4cbe-93bc-4872041deee9 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 53

Resolution: verified exact; raw_fallback, observed 2026-08-05T22:07:44.152402Z

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Observation 0bfc9218-d90d-4b9a-982f-4d13381a40e2 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation a50f4c4a-7e93-493f-b71f-638d53503a0f · outbound

This paper cites Poisoning Attacks and Defenses in Recommender Systems: A Survey.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Poisoning Attacks and Defenses in Recommender Systems: A Survey

Reference 55

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation b7bda5d9-e9f5-4733-8a73-76d581ad0f2a · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

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Observation 7b37eb5e-ae22-48e6-ad75-92e9b722cb74 · outbound

This paper cites MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:43.904102Z

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

Observation 6c0e19f1-5b3f-401e-8cdc-3a9ab683d2bc · outbound

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Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Attacking Pre-trained Recommendation

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:43.874690Z

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 9414fe2a-8a4e-4c44-a17e-1af7a376308f · outbound

This paper cites Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:43.837793Z

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 58d5e141-48ac-4238-8b76-148787a807e8 · outbound

This paper cites Rossi, and Julian McAuley.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Rossi, and Julian McAuley

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.294040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc04cd91-635e-4690-9947-c414885eb1b6 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.299672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8909be5d-67d9-4685-99c1-96fccbf5d288 · outbound

This paper cites Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.304265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c5e539a-e447-4add-a245-abc85d3f13a6 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.310859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8742030f-c040-4eff-a28d-2b1c2e3576d6 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 65

Resolution: verified exact; raw_fallback, observed 2026-08-05T22:07:43.482234Z

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 8a5b0b76-5044-4549-8ce0-7f7fa514c103 · outbound

This paper cites Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.320972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439bf9dd-7411-49ef-9973-ca45d445ff62 · outbound

This paper cites NetSafe: Exploring the Topological Safety of Multi-agent Networks.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity NetSafe: Exploring the Topological Safety of Multi-agent Networks

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.326351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a43e56-50fe-41fd-81b0-f5bcdc1ea509 · outbound

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

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.331664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346400ab-e9b8-4080-a79c-4f1a54e50461 · outbound

This paper cites Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.341577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b5c48f-bdc5-48ce-85aa-e2c0d52a8c54 · outbound

This paper cites Prospect Personalized Recommendation on Large Language Model-based Agent Platform.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Prospect Personalized Recommendation on Large Language Model-based Agent Platform

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-05T22:07:43.217930Z

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 60c99874-77ac-444c-adbd-9f4b9a04b346 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.351654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef1fb838-c6ac-4688-84e6-a5fb717c1e27 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.357017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91de21b6-0ff6-4a3f-b710-1659bc4be95c · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 74

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T22:07:43.061541Z

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 d9d901a0-45a7-4f58-a56a-2de0a9ba6160 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.374894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f9c5fb-db37-4daf-b69b-1012ded06d31 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 76

Resolution: verified exact; raw_fallback, observed 2026-08-05T22:07:42.936088Z

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 cf807d47-06b8-4406-aeb8-fcfa3025a60c · outbound

This paper cites PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.392385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c35185-f384-4a9f-8229-133d41cc3ed6 · outbound

This paper cites Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.380854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae47a06c-43cb-41c7-9970-607b6162e1d3 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.409952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb307ac2-f2a2-48ff-be59-3f140c3025a6 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.415294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609589b8-4287-4171-8440-3640387bbfbb · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.402685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a37788-e974-4ad6-bed9-2ff4a29118e2 · outbound

This paper cites A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.426490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f099c07c-9901-4f45-9426-f7c89ec84bd2 · outbound

This paper cites an unresolved cited work.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.432678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c32daa-f432-43b2-bd24-b500288f842e · outbound

This paper cites CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.420500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b44ce838-e91c-4b6c-86ab-2938bf4a8572 · outbound

This paper cites Stealthy Attack on Large Language Model based Recommendation.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Stealthy Attack on Large Language Model based Recommendation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.363853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9a32d8-801a-4106-80f1-a2fcb03e24bd · outbound

This paper cites Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T22:07:42.038221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers