Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:51.241046Z
Paper Citation Record · LEDGER
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems
As of 9 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2505.18397.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T20:48:45.224752Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
63 of 63 outbound references displayed
- verified exact0
- verified fuzzy41
- unresolved21
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 13a26001-3ccc-4db9-8257-6a8eb9200b03 · outbound
This paper cites an unresolved cited work.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:37:59.181128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8b021b5f-7850-46ae-b8a5-c3f299644cf2 · outbound
This paper cites AutoGen: Enabling next-gen LLM applications via multi-agent conversations.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems AutoGen: Enabling next-gen LLM applications via multi-agent conversations
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:59.044767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 953db13c-e459-40e9-8391-0b33de1bd4bd · outbound
This paper cites AutoGPT: Build, Deploy, and Run AI Agents.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems AutoGPT: Build, Deploy, and Run AI Agents
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:58.904854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2568bba9-dabe-4e9a-9b3e-a914d7f294ff · outbound
This paper cites https://agntcy.org/, 2025.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems https://agntcy.org/, 2025
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:58.763164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a2c7dfb6-7644-42b5-8cf6-d14a46e64836 · outbound
This paper cites Theory of Games and Economic Behavior.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Theory of Games and Economic Behavior
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:58.629032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 07dd501f-97a1-4d37-bc3a-da7ab51a4163 · outbound
This paper cites an unresolved cited work.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:37:58.500133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 30836270-be8d-4872-b3ec-a223a1f6f837 · outbound
This paper cites an unresolved cited work.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:46.277315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f913d1c8-7fb4-4b10-91ca-3dcee9caa2ce · outbound
This paper cites Cybernetics: or Control and Communication in the Animal and the Machine.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Cybernetics: or Control and Communication in the Animal and the Machine
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:58.334168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 733137c2-304f-40d7-9c09-d698eb844f87 · outbound
This paper cites an unresolved cited work.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:37:58.222242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a72989f0-3d6c-48e5-8202-188ace706b92 · outbound
This paper cites an unresolved cited work.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Unresolved cited work
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:46.578925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8202ab37-31cf-4192-92b3-429c9da136c7 · outbound
This paper cites Human-level control through deep reinforcement learning.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Human-level control through deep reinforcement learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:46.693513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09de77ac-ddd1-4e8e-b227-3e400fb1154f · outbound
This paper cites Assael, Nando de Freitas, and Shimon Whiteson.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Assael, Nando de Freitas, and Shimon Whiteson
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:58.073030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b9f27441-3d20-41c6-98dc-5de85dc5e12d · outbound
This paper cites Multi- agent actor-critic for mixed cooperative-competitive environments.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Multi- agent actor-critic for mixed cooperative-competitive environments
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:57.930600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 93bd00f0-05f9-495d-93eb-9856d5a91062 · outbound
This paper cites Cambridge University Press, Cambridge, UK, 2008.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Cambridge University Press, Cambridge, UK, 2008
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:57.758285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1550ade5-dbad-4d58-9ba1-8bbd3a792b34 · outbound
This paper cites Multiagent systems: A survey from a machine learning perspective.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Multiagent systems: A survey from a machine learning perspective
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:57.600246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8f47032a-230c-4f7c-9fce-d38cce87f389 · outbound
This paper cites An Introduction to MultiAgent Systems.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems An Introduction to MultiAgent Systems
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:57.426436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2f4898a8-fe20-4f4e-a19c-0a6496714477 · outbound
This paper cites Chawla, Olaf Wiest, and Xiangliang Zhang.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Chawla, Olaf Wiest, and Xiangliang Zhang
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:57.252484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c702b56-34f3-46cf-b05d-aa41d5227cba · outbound
This paper cites LLM Multi-Agent Systems: Challenges and Open Problems.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems LLM Multi-Agent Systems: Challenges and Open Problems
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:47.432244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0c07b12-d5bb-41cf-bfcb-a515b5c7ef51 · outbound
This paper cites The Internet of Agents: an open, interoperable internet for agent- agent and agent-human quantum-safe communication.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems The Internet of Agents: an open, interoperable internet for agent- agent and agent-human quantum-safe communication
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:57.081644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5b03d655-a555-4972-84eb-f2772fe34022 · outbound
This paper cites Model Context Protocol (MCP).
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Model Context Protocol (MCP)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:56.774762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f353908-0415-4159-87e6-5a29cc725a62 · outbound
This paper cites Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:47.872140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22febf97-5a38-45aa-819d-a4573d69bc5e · outbound
This paper cites Large language models empowered agent-based modeling and simulation: a survey and perspectives.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Large language models empowered agent-based modeling and simulation: a survey and perspectives
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:56.579991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2c9f3857-97bb-4e00-bd15-6d346eebe57c · outbound
This paper cites Langchain: A framework for developing applications with llms.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Langchain: A framework for developing applications with llms
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:56.447828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 971a0d28-236d-4ae1-bd28-53120776f5a6 · outbound
This paper cites Cooperative multi-agent learning: The state of the art.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Cooperative multi-agent learning: The state of the art
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:56.291842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d43b3d6d-5c8b-4eb3-8893-8b29b8c48808 · outbound
This paper cites Multi-agent reinforcement learning: Independent vs.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Multi-agent reinforcement learning: Independent vs
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:56.132496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1ae7c516-e411-401b-8c30-bc3c2f9a8dde · outbound
This paper cites an unresolved cited work.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:37:56.001905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d263cab7-8098-48f5-b472-43f1130ca100 · outbound
This paper cites Foerster, Yannis M.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Foerster, Yannis M
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:55.885742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9f403473-28f1-4e5f-a429-5c1352094920 · outbound
This paper cites an unresolved cited work.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:37:55.769543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6512b5fd-7692-47bb-8cb1-8dab811b4aed · outbound
This paper cites Leibo, Vinicius Zambaldi, Marc Lanctot, Janusz Marecki, and Thore Graepel.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Leibo, Vinicius Zambaldi, Marc Lanctot, Janusz Marecki, and Thore Graepel
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:55.654570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52b9f531-edb9-435e-93b8-a855514702d6 · outbound
This paper cites Cambridge University Press, New York, NY , 2009.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Cambridge University Press, New York, NY , 2009
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:55.500796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0464fd8e-cb96-4fc0-9335-4dbbc0bca6b0 · outbound
This paper cites Aho, John E.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Aho, John E
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:55.362238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6bf52a9c-07ff-423d-b741-5930adb04b93 · outbound
This paper cites Dietterich.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Dietterich
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:55.196784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a3b496d9-9ce9-4589-afe7-4f72976172f9 · outbound
This paper cites Ensemble based systems in decision making.IEEE Circuits and Systems Magazine, 6(3):21–45, 2006.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Ensemble based systems in decision making.IEEE Circuits and Systems Magazine, 6(3):21–45, 2006
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:55.024945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2bfca594-ab18-4ee7-9caf-18fa119b0e79 · outbound
This paper cites Bagging predictors.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Bagging predictors
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:54.874512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 784c0cc1-75e4-433c-b2f5-a581fcf29ac1 · outbound
This paper cites Schapire.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Schapire
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:54.722574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5059827b-af76-4884-a1fb-5e6128913556 · outbound
This paper cites Random forests.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Random forests
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:49.303527Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5411e2b-b5ba-4ecd-8df1-ac19fbb607ce · outbound
This paper cites Probability inequalities for sums of bounded random variables.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Probability inequalities for sums of bounded random variables
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:54.540639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7fc888d-5b51-4035-a609-5de00c167096 · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:49.456166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b356aea-6e29-47be-a82f-d2394e31b993 · outbound
This paper cites Redpajama: An open dataset for training large language models.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Redpajama: An open dataset for training large language models
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:54.369159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b9662b84-a6cb-4441-bab2-ee8272d73cce · outbound
This paper cites The pile, common crawl, and starcoder dataset descriptions, 2024.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems The pile, common crawl, and starcoder dataset descriptions, 2024
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:54.224445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 944fbfbf-3a1d-4023-8892-19c380d5d214 · outbound
This paper cites Policy shaping: Integrating human feedback with reinforcement learning.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Policy shaping: Integrating human feedback with reinforcement learning
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:54.077767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c198ce0b-c93d-4a99-b180-2965f0dc4c51 · outbound
This paper cites Deep Reinforcement Learning from Policy-Dependent Human Feedback.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Deep Reinforcement Learning from Policy-Dependent Human Feedback
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:49.688634Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e03b9649-5a43-4934-b6a3-db1ec28cacc5 · outbound
This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:49.751391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2504c722-2d70-4c44-8bac-8aa2cfb0c58f · outbound
This paper cites Safe RLHF: Safe reinforcement learning from human feedback.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Safe RLHF: Safe reinforcement learning from human feedback
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:49.841125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e648a3ec-1229-4580-afbe-43ba7f807f37 · outbound
This paper cites Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:49.906712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eab3ac5f-ad63-4d4e-b6d1-a54d64c0e19f · outbound
This paper cites MAP: Multi-human-value alignment palette.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems MAP: Multi-human-value alignment palette
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:53.934924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2787551a-1cc6-4b42-b08d-04dad2b2901a · outbound
This paper cites Intriguing properties of neural networks.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Intriguing properties of neural networks
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:50.091147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f2876c0-7c10-4954-84c9-402c4398666c · outbound
This paper cites Explaining and harnessing adversar- ial examples.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Explaining and harnessing adversar- ial examples
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:53.760742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6f0edcf2-d7a9-48ef-9ae6-ae1235ba241e · outbound
This paper cites Adversarial examples: Attacks and defenses for deep learning.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Adversarial examples: Attacks and defenses for deep learning
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:53.609590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cb59f8b1-e667-440d-abac-ceab4d99c631 · outbound
This paper cites Jailbroken: How Does LLM Safety Training Fail? In Thirty-seventh Conference on Neural Information Processing Systems, 2023.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Jailbroken: How Does LLM Safety Training Fail? In Thirty-seventh Conference on Neural Information Processing Systems, 2023
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:53.426581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 85582887-a6b3-4bdb-bd04-a4629b6752dc · outbound
This paper cites Prompt Injection attack against LLM-integrated Applications.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Prompt Injection attack against LLM-integrated Applications
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:50.361263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 340db6f2-09c4-4276-872f-390f5fa134a1 · outbound
This paper cites Limiting privacy breaches in privacy-preserving data mining.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Limiting privacy breaches in privacy-preserving data mining
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:53.245316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8822a44c-1226-4f43-b24c-6a61ff2954e0 · outbound
This paper cites Calibrating noise to sensitivity in private data analysis.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Calibrating noise to sensitivity in private data analysis
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:53.098580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ac9ddb39-c572-4999-a0ef-1827de733d8d · outbound
This paper cites Interval privacy: A framework for privacy-preserving data collec- tion.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Interval privacy: A framework for privacy-preserving data collec- tion
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:52.929252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 98e3ebc2-191f-4778-8330-ce6e9cb78349 · outbound
This paper cites QPP and HPPK: Unifying Non-Commutativity for Quantum-Secure Cryptography with Galois Permutation Group.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems QPP and HPPK: Unifying Non-Commutativity for Quantum-Secure Cryptography with Galois Permutation Group
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T14:37:51.648329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9d4d1326-b56c-4eb0-aa5e-350477b2d534 · outbound
This paper cites A Unified Detection Framework for Inference-Stage Backdoor Defenses.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems A Unified Detection Framework for Inference-Stage Backdoor Defenses
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:52.758051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1868fdc4-a040-4474-ba49-0be647c75076 · outbound
This paper cites Understanding Backdoor Attacks through the Adaptability Hypothesis.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Understanding Backdoor Attacks through the Adaptability Hypothesis
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:52.553893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a7ae088f-128a-4cf4-9191-733234373fc2 · outbound
This paper cites Demystifying poisoning backdoor attacks from a statistical perspective.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Demystifying poisoning backdoor attacks from a statistical perspective
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:52.408336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2688afeb-b297-4992-b2e3-7536e43650c8 · outbound
This paper cites Open Problems in Cooperative AI.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Open Problems in Cooperative AI
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:50.962803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 891b5309-0953-4a57-b2ef-87829acc1f5e · outbound
This paper cites Graybuck, et al.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Graybuck, et al
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:52.227593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eb55fee9-8ec2-45e4-a0a0-1b5beb01d52a · outbound
This paper cites Invisible backdoor attack with sample-specific triggers.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Invisible backdoor attack with sample-specific triggers
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:51.151059Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38f9d3b2-a434-4930-9a5e-a6a4805b2b36 · outbound
This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:51.241046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5e24861-f1ca-486c-bbf3-4668ee8cb894 · outbound
This paper cites Technical report (white paper), accessed 2025- 08-22.
An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems Technical report (white paper), accessed 2025- 08-22
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:37:56.917035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
Observation abbe0e75-0b25-4b53-80f4-38a8f277d686 · inbound
Nonuniformity Principle in Human-AI Coworking cites this paper.
Nonuniformity Principle in Human-AI Coworking An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:48:45.224752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.