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Paper Citation Record · LEDGER

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity

As of 14 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2608.03272.

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

pith.paper-citation-record.v1
2608.03272 v1

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:07:42.432678Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

85 of 85 outbound references displayed

  • verified exact18
  • verified fuzzy0
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

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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source=pdf_text observed=2026-08-05T22:07:41.988536Z digest=sha256:bd457ad9c352fdf98115221b5072e7fddc1137798e6a252ee45fe995f670b799

Observation 72ec97de-6d30-423c-b6e0-48bbfed50b31 · outbound

This paper cites an unresolved cited work.

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

Reference 3

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doi, observed 2026-08-05T22:07:42.566696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:41.993906Z digest=sha256:eef22831f4bb9230a52d5cab099c1886f47d8b2b869f3f84ec8662284f6db2af

Observation ef27c86b-ffb0-44fc-894e-ac268c00c6bf · outbound

This paper cites an unresolved cited work.

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

Reference 4

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source=pdf_text observed=2026-08-05T22:07:41.999411Z digest=sha256:ce8cab7564c79574ab7f8a88bdf250f656925bb141cd5280e04919b27cd6f2b9

Observation c018b495-1c6b-4b12-a3ee-e29818618b8f · outbound

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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source=pdf_text observed=2026-08-05T22:07:42.005668Z digest=sha256:ef4d8ab94da10cc8a64c682656294a449cd27c536b2a7f4b780310c6f74d4aa8

Observation 884ab759-7c05-4ea6-941b-d7397b1f0d57 · outbound

This paper cites an unresolved cited work.

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

Reference 6

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source=pdf_text observed=2026-08-05T22:07:42.010963Z digest=sha256:7f005654c8c3b4892a04d21f64af4fd74db52e1390e65ffd558b0611eed36d13

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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source=pdf_text observed=2026-08-05T22:07:42.016361Z digest=sha256:d92fd2ccfa4b30fb6940abe6bd4da2da5f28e6b58d9966d890cb8c11d30b5da5

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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source=pdf_text observed=2026-08-05T22:07:42.021157Z digest=sha256:966b802e275a6188b79e68024c058276b73432093d4d3fd85b96dc3a5aa9e9cb

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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source=pdf_text observed=2026-08-05T22:07:42.028159Z digest=sha256:1fbedee123f3984bf48aa077f5c2d5d3c2f1d38108adfa689ff0576b043f1c10

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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source=pdf_text observed=2026-08-05T22:07:42.033071Z digest=sha256:eb487785339220671f5480a2f35b897bdb3f1ca8e7746f5514f922a27e8970f0

Observation 6e38ba06-2fd4-4b99-b0eb-83b24089da4f · outbound

This paper cites an unresolved cited work.

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

Reference 11

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source=pdf_text observed=2026-08-05T22:07:42.044022Z digest=sha256:4cdedb31c32db3e3cb8d790895416f7eb17658f8452644c80fe82ca84958bfda

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

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source=pdf_text observed=2026-08-05T22:07:42.048873Z digest=sha256:ad672a9af443f4f306c42ce975b47f1cc8091ae598db3d39c3398fcc27ab82f2

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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source=pdf_text observed=2026-08-05T22:07:42.054451Z digest=sha256:6aea563446619330e06ebe0e20060f885d37f3108ce965e140f030d890e0217c

Observation bdc92014-0cdf-46ef-9494-910d615f5609 · outbound

This paper cites an unresolved cited work.

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

Reference 14

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no resolver link, observed 2026-08-05T22:07:42.061081Z

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source=pdf_text observed=2026-08-05T22:07:42.061081Z digest=sha256:541944c364ca346d1394003d86865436d90a584db71f553f48ec70c2db542ca5

Observation 610b611c-038a-4192-8c3e-f0280ef12163 · outbound

This paper cites an unresolved cited work.

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

Reference 15

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source=pdf_text observed=2026-08-05T22:07:42.066394Z digest=sha256:37c411a3b760380b4ad0916901ca07d84f00d86a0a2bb45ec49d20b1d1585c29

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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source=pdf_text observed=2026-08-05T22:07:42.071203Z digest=sha256:7daa442d47c2216cdc78438130e9f070a1ff4ca6d4e364170f560495423e8986

Observation 53a017fd-4867-467b-b449-4fc85e553e8c · outbound

This paper cites an unresolved cited work.

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

Reference 17

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source=pdf_text observed=2026-08-05T22:07:42.076356Z digest=sha256:779b72b88ab38138933638e6981dacd52b7b5d91ed34fcf3b4368d2d710e8c70

Observation e27e2c99-a118-401f-936c-a594e0e53cf2 · outbound

This paper cites an unresolved cited work.

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

Reference 18

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source=pdf_text observed=2026-08-05T22:07:42.080583Z digest=sha256:8b7b693ad4273cf165f291ffd74df93d7ee9d93c6dddc56c28b1cd9d25475682

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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source=pdf_text observed=2026-08-05T22:07:42.084607Z digest=sha256:7e68948659c03a1571f34e5940813ed35c7a205f1373de9a058d887e1b446dbf

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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source=pdf_text observed=2026-08-05T22:07:42.088799Z digest=sha256:d12aeace5f6a0927fcc6067ed1ce803b459bbbfce3bd162ab1fafd742826f6a1

Observation a918ab4c-7cf2-45fc-a412-cbac8ba08dbe · outbound

This paper cites an unresolved cited work.

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

Reference 21

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source=pdf_text observed=2026-08-05T22:07:42.093397Z digest=sha256:2973c7fdeca494b01a2cc6fc78ae24175c775da39cfe5edf47b20ce5d81f8273

Observation 0d9f6804-9d18-4497-878e-83ac7e15789e · outbound

This paper cites an unresolved cited work.

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

Reference 22

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raw_fallback, observed 2026-08-05T22:07:45.749588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

This paper cites an unresolved cited work.

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

This paper cites an unresolved cited work.

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

Reference 25

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raw_fallback, observed 2026-08-05T22:07:45.511587Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.112964Z digest=sha256:1213f4818657f3a6322acdc91e624f11fd0f7eb177a8a20367a811f5b37b29ef

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

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local_arxiv, observed 2026-08-05T22:07:45.379875Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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source=pdf_text observed=2026-08-05T22:07:42.127358Z digest=sha256:63e8277f107166fe92c562f2bad491ad3948ca9c9ddf3fb27ec31d3b0d1a7122

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

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local_arxiv, observed 2026-08-05T22:07:45.298537Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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Observation fb5a4b14-d9af-4337-9b80-4e52d5019a00 · outbound

This paper cites an unresolved cited work.

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

Reference 32

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Observation 72079a6f-7b88-4d58-808f-5982a4121a03 · outbound

This paper cites an unresolved cited work.

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

Reference 33

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source=pdf_text observed=2026-08-05T22:07:42.154470Z digest=sha256:0e18a1ae71e547c23a250a275e8b498579039687e23b14071a3fc90918c348b9

Observation fd741f99-4a97-45dc-9aa4-26a0e031417a · outbound

This paper cites an unresolved cited work.

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

Reference 34

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raw_fallback, observed 2026-08-05T22:07:45.129151Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.158797Z digest=sha256:6e56aaa04fe4f5d2779c956476d0c71816883501c806f1422a4c670d190d23e7

Observation 905baf38-cfda-4a31-b900-6cfdd6a618f9 · outbound

This paper cites an unresolved cited work.

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

Reference 35

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source=pdf_text observed=2026-08-05T22:07:42.163183Z digest=sha256:cccac760784e26b94fb434631834597b80f88571a25f32147b84a02582cf3561

Observation cff18793-a605-4e69-bb3a-82927e1b4708 · outbound

This paper cites an unresolved cited work.

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

Reference 36

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source=pdf_text observed=2026-08-05T22:07:42.168040Z digest=sha256:03736bf34cd2a06936cf2f43f3c81e95ba245ea925808eded21a3c395b11429a

Observation 81b4864b-5769-4208-a616-bba3c794af9c · outbound

This paper cites A Survey on LLM-powered Agents for Recommender Systems.

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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source=pdf_text observed=2026-08-05T22:07:42.172329Z digest=sha256:0a3905f67b94df0f97dec1d58c10b255e2090294f06e9e778e685ddb998a9141

Observation b885f98b-df86-4fc3-929a-e72b4c7fd97f · outbound

This paper cites an unresolved cited work.

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

Reference 38

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metadata mismatch
raw_fallback, observed 2026-08-05T22:07:44.916018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.177444Z digest=sha256:06126ddd1b1be4779b470ea26a3dacbb976382aea02529390084a25ae381cec8

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

This paper cites AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems.

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

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.181996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.181996Z digest=sha256:b90d90afbb95ec74eb104a9df00754c30409c1075cded5882152ef02dab1c22f

Observation 4ca546f7-74d5-4c37-a494-20a62dcb1c0f · outbound

This paper cites Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.187727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.187727Z digest=sha256:efcf409ec91ac4f6c01fb835ab84a6ec12509c58b078fa34c006ec80f19bf440

Observation 9ce8dabc-9440-44ad-93a3-d07b341271b6 · outbound

This paper cites an unresolved cited work.

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

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.192963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.192963Z digest=sha256:ec7e6c4fea9bb09fbd8e456fdde2137da05d99c9b2f24e9f7ba3f88067170db3

Observation caebc462-542d-40c8-be2a-87a93b416e60 · outbound

This paper cites an unresolved cited work.

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

Reference 42

Resolution
verified exact
raw_fallback, observed 2026-08-05T22:07:44.670536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.197595Z digest=sha256:0139c7f9ab2a87c495b35e0b771e2399204daf7a3a1f6ae25706d9bdd95dfd32

Observation 935e4329-0012-44a4-8c48-e8fc5a505df9 · outbound

This paper cites Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems.

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

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:07:44.573492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.202065Z digest=sha256:83e43cf318ba6059d49128b0c8d97e02fdac03e6257b746a3c965e223566e965

Observation b83d3335-8d72-485d-bce1-9de5713c2109 · outbound

This paper cites an unresolved cited work.

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

Reference 44

Resolution
verified exact
raw_fallback, observed 2026-08-05T22:07:44.540455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.207877Z digest=sha256:f1040f7150a68a05f8bad34058cff0f229fd33fe0f4aa0b61f151bc663e06d79

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

This paper cites Multi-Agent Systems Execute Arbitrary Malicious Code.

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

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.214656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.214656Z digest=sha256:04c3c7e91a8125d34dd78ff022beebb577788973aee69ca05c199ecac9fca56c

Observation 03059b16-f2ae-48d1-bbd0-fcca57eaf516 · outbound

This paper cites IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems.

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

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.219855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.219855Z digest=sha256:ae25f1acbd1d99c36c271bdc1a9886a84c1fa12561055798945817e3e9c42c54

Observation abbfc0f4-2503-41e8-92e0-3e2dac3c51ba · outbound

This paper cites User Behavior Simulation with Large Language Model based Agents.

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

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.224736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.224736Z digest=sha256:40ac8525f4323ea6eb50c4daf562867f54feec8e3e7b2049e602b5509aa75b19

Observation 87fdf0a1-cd1a-4a82-9ec5-fd17ce869322 · outbound

This paper cites G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.230156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.230156Z digest=sha256:df5a6ef1fc7f137c8eb2d6c1b53949e0b387b35c3f3b37aa2bd76b2bf04fc059

Observation 575bb3fb-28d5-417c-8aa9-305e000ffdcb · outbound

This paper cites an unresolved cited work.

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

Reference 49

Resolution
verified exact
raw_fallback, observed 2026-08-05T22:07:44.334270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.235270Z digest=sha256:a8c9dad0e9b963a22dfdc8f9ed110cb429ff8132da9113cd94034e8ec9d7378c

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

This paper cites RecMind: Large Language Model Powered Agent For Recommendation.

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

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.239519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.239519Z digest=sha256:3c4f1d3ba9bcb9601b50543e7a23719c667ad592060a943e9c45c59207b3b628

Observation 101bfe2f-0936-4977-b21d-c8267b30d5b1 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.244283Z digest=sha256:c6ba4cdee2b9b68356dbbfa6a9f6544456bfea8b379d93222e45d07050a7f378

Observation 80287501-b091-4c44-af1f-525cfe56d01d · outbound

This paper cites ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.250218Z digest=sha256:91fed90a0dc961555c8f041d573d327afbed63e2dea5b8d60883b25c66e54692

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.254944Z digest=sha256:cd3fa08de24fdc200472737235ccae11c9dbc8d414a193c68567a33c30a933df

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

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.259956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.259956Z digest=sha256:590567605bd8b06d8224afdfd0f4548d3ed5f267121a07b1ae2435033a077da0

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

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.264460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.264460Z digest=sha256:0aaf7ae59a1649d31243ee7bf32f211283d11f72386d22c77ce3d4d78276842e

Observation 11eecb77-fd99-4ee8-9ae3-2d1667d75f84 · outbound

This paper cites an unresolved cited work.

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

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.269373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.269373Z digest=sha256:8eb4ea77f810a9fdf2f4e812a47bf48493dec55e310d037ff0a45b2943330553

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

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.274137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.274137Z digest=sha256:2a6fea3bbf43aa46cef07c816fed00fa05eedc715566dd7db981b28aa9f41685

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.279120Z digest=sha256:0a6018d4a55cb53b4e32963df1a47c5de706a22afaaec352df39d5e4cc2b4aa4

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

This paper cites Attacking Pre-trained Recommendation.

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.283770Z digest=sha256:be19148fc2097dda27db231e3d28b41fdf9c2d45cc423f233c14e68eb887742f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.288855Z digest=sha256:b3e50d1fdcf146b26bd36dc5a359d2f0fc6ba09dfc670695e3c23b93c0e3f6de

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.

source=pdf_text observed=2026-08-05T22:07:42.294040Z digest=sha256:7b156981a1609ecf38948354cacae3036490ab191834d250a89a000d6bac9299

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.

source=pdf_text observed=2026-08-05T22:07:42.299672Z digest=sha256:ae63df47aa7587e1212da9d5aee7309c28bcfd4f7fe15f5b6b060b2a6f90dd3d

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.

source=pdf_text observed=2026-08-05T22:07:42.304265Z digest=sha256:68cb8edddc007e4ce050efc71bbe1f643abd22ee9d2d4da303af72c0e0036f0a

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.

source=pdf_text observed=2026-08-05T22:07:42.310859Z digest=sha256:1e23dc635b3a8287f5d49412feca5050f087a3182357302182a17125e4688010

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.316247Z digest=sha256:3147a25cc7657ab40829f699c899b2285752b3eba489443d9795c3d73cac6319

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.

source=pdf_text observed=2026-08-05T22:07:42.320972Z digest=sha256:cd43789d77c506c2b6f0004a7ac8de57d84b7332f9928ae01cceb4224c88765e

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.

source=pdf_text observed=2026-08-05T22:07:42.326351Z digest=sha256:8a758bfc0251f3aef9e9f06049c988d69f225bb9d2cae90728034f4765864aa9

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.

source=pdf_text observed=2026-08-05T22:07:42.331664Z digest=sha256:5515e8f7dddca559c8384244bf2030f0f654b482b7b4f6d0206898976e79734e

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.

source=pdf_text observed=2026-08-05T22:07:42.341577Z digest=sha256:cee69ffebf2918f0192232459865b1942e0436257aa62c3bf54ff6316eb6e5c9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.346584Z digest=sha256:954f1fd605c43eea10e0b6e93293414185b3982caf895a69c468c63a36f922d2

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.

source=pdf_text observed=2026-08-05T22:07:42.351654Z digest=sha256:3346a6b7ddd71856bd5029f908ae2a18a8634ae9f6b97a3aa25eb7e9520d36a6

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.

source=pdf_text observed=2026-08-05T22:07:42.357017Z digest=sha256:a44df9068fe1a538ff450bbabc95373697de204ccb56768e01eefb2208992e0a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.370072Z digest=sha256:a6b5530dca6c0b13da133928c01f506e4f61bb3cb2939daf854cfd88e0a1f5f2

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.

source=pdf_text observed=2026-08-05T22:07:42.374894Z digest=sha256:7a7868a81b32b574c8984ecc4b2acb2ba04ca9839b123bad2a6994e347639800

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T22:07:42.386272Z digest=sha256:4cf8c7a836bb137772d211238676c8f0149bdbbaba65ae44406178abb04c63f1

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.

source=pdf_text observed=2026-08-05T22:07:42.392385Z digest=sha256:8a1ec7f1e6239f8caa14cbb6dc07b98c32c4c8b7c4772566ddfff53fdf2317af

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.

source=pdf_text observed=2026-08-05T22:07:42.380854Z digest=sha256:dd098bdbb64f3929d6a7d29fc7548a06405cdb33201b0fae4bbdf97c6c00469e

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.

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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.

source=pdf_text observed=2026-08-05T22:07:42.415294Z digest=sha256:3c2a9e1cecfd55cf61415124756befafe10d3c6422543684a8e2c76173598d2b

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.

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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.

source=pdf_text observed=2026-08-05T22:07:42.426490Z digest=sha256:18d8a51f7fb2ef384fd5961395e2a33f0b29839f9ad57aa53675c6bcf703ecb5

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.

source=pdf_text observed=2026-08-05T22:07:42.432678Z digest=sha256:5d42dae6ca2e3cf2bdd7ef0dc6e1c649bffce6c0fd9cf74ecf341894669abdea

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.

source=pdf_text observed=2026-08-05T22:07:42.420500Z digest=sha256:ccd3a17c5542655118b4be69301efc724e9463f16f14778b886f37171989c7a4

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.

source=pdf_text observed=2026-08-05T22:07:42.363853Z digest=sha256:8031ecba67fefb78bd67c62e5c2697fc69dd916ab795b83b50a68b145c87198f

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.

source=pdf_text observed=2026-08-05T22:07:42.038221Z digest=sha256:8d2106dfa19db5975a013434ea19edaa5b7ca4cdca32cb04dc080b748f97c078

Pith citing papers

No inbound Pith citation observations are available.