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Paper Citation Record · LEDGER

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems

As of 10 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.

pith.paper-citation-record.v1
2505.18397 v3

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:37:51.241046Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T20:48:45.224752Z

measured 0 of 1 external citation measurements

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:45.763524Z digest=sha256:83220b9b426ecf93fbd2c739fb624629d9a4ad7d2f483d5405209f51eb918b3f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:45.816677Z digest=sha256:12f89a6a7fd5157864f6975cd8fb75a1b3752b7ebca7514b3572aed416129fd6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:45.893073Z digest=sha256:70cf68e84d36ad5d0299a513d81b77e94073d85f219930fc5863c0daf7ad7265

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:45.988828Z digest=sha256:aea44a966ca06012a76e18c31509d9b987dab356c70e5cd1d4f98e0f4b54ad6d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:46.046777Z digest=sha256:ad9dedd1c55df65f52317a9247da4ec0aa0cf891916a474b59a7c63b8b419573

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:46.143044Z digest=sha256:60f3ff67da5849f451437762fffab1a080818f3c06eaf8528cbbea9e62dcea11

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.

source=pdf_text observed=2026-08-07T14:37:46.277315Z digest=sha256:6b1d63246ca53bb0e5e5a807bd90b225ed666ddf58622595c35e0bac428e9219

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:46.392262Z digest=sha256:59db8784777f527c75a21f47d494e87fbd7e9c32dda5a3deca174cc7db46d2d5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:46.471722Z digest=sha256:01cb80fe57686844ffb92f89574c8cd05ae26f08c33bcacd2fc224729380639e

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.

source=pdf_text observed=2026-08-07T14:37:46.578925Z digest=sha256:0a03129443df769993d54d3490757ec8b857bc103f783aecda5fd17a5ca7f551

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.

source=pdf_text observed=2026-08-07T14:37:46.693513Z digest=sha256:36189f0c59081362d6bed079948340c58ae2f3bd00e39248f33a22abb6e2367d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:46.836720Z digest=sha256:3544293cd42a552426267491b88afe79147fbd038abf9c33638d853de95c3ef3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:46.986323Z digest=sha256:6e069bcaab11e1ec08dde50020fdb95f3787a50428b0f7f6111d7888003621c8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.059152Z digest=sha256:6407eec302a99a5e3b5db858001e2f538275429f8c5a6346b4ad25da92009f57

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.152415Z digest=sha256:d4e4c3f5e552b7662923a922755e1dbf5748e55195821f12a8218a9f78bc21ba

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.206623Z digest=sha256:cd94b3fe002030f5397e96d11f0060169c6fe5c105d5b0215b82783c3950ea03

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.319535Z digest=sha256:99740b59ae4b52363e911318e90d90d7ac94b1b58b925d700587ff6e5bef34e1

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.

source=pdf_text observed=2026-08-07T14:37:47.432244Z digest=sha256:c710771f0e90bcfe609e50438e1b147731931909d4ce4d58ffc58301412bdfa1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.528349Z digest=sha256:1abc34a911cf2658d4bf6c27a53413f02eca0fc9474afb5dd5be3be7c3299b19

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.749064Z digest=sha256:38e7fd0f952d81520902a4317fa03b4f6898508f1690476051313731e983495b

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.

source=pdf_text observed=2026-08-07T14:37:47.872140Z digest=sha256:b982f1ae466f72385b3300c2b28de83220feb67ecaef1231843bc72948ff07c1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.993153Z digest=sha256:5f25c00f829f639d34499ccfdc221c430b5af2c6f79fa1f7669ea008abe01344

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.073575Z digest=sha256:760a131772390fa7fb398db752aea9ee188d8edb7aae1e70baeba33fabd1d0c8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.159543Z digest=sha256:6716ba210f1bfc71d56076e0d82fb6c450a1b9e7cf2895fe2dd65ed4f23ebb22

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.259374Z digest=sha256:d39968590050a9bd3bc64d1445bb757ecfcd9e65a128a100b18fd43ccd1ab08c

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.384748Z digest=sha256:5cf1313f80fefc6c79d1916a178c7d83bebbc9038d4fffa202a5cae61ec2e837

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.494161Z digest=sha256:cbb601ee5da13fc743f35562abcdbd9ccb69c90612a8051e31180096ffeeb242

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.593777Z digest=sha256:1ec74da69d9888b62fd692f4d2c032d9de80e7cdedf26a29b084c71ed04cdd30

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.730584Z digest=sha256:9fc7cc0c5709d222d7faa5a7a3eed23f22884154107c3b923454dd2941afc950

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.818804Z digest=sha256:07af62507acce657c8f256c6499a18b840f68edf39d5b1ca8988df33bb00e0ca

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:48.904480Z digest=sha256:24bf7f50397cd5d6cf5fcf97a233db2765e5816b009bd6f99ff637f86f872706

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.018222Z digest=sha256:f1c1a1a0eeb17cd95e097d3348b5e51e0997e85a0a02bf5670a9a1b99162fccc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.111829Z digest=sha256:dbe998263a74980321d00bb9af515b7711f24baea568aeb37825cef0c52bb295

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.177748Z digest=sha256:90b5f7345a37b722504793e0d83fa44945d9124060adf1769ba3ab5112f2f037

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.245162Z digest=sha256:32f628a5f82ac19bc053ea84d6eb66a6c596734456d6b7d3a0aad9cd0d48024d

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

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source=pdf_text observed=2026-08-07T14:37:49.303527Z digest=sha256:fb88bbb2a7de76762bdca357fdd42e2c091caa3e98c241ed0db8279590014395

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.348832Z digest=sha256:9ace4e36a5a64a86f6a9ec13a635be58e5456905ba2be1e26b9b28b20d0c6db9

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:49.456166Z digest=sha256:ee0387ee9cbd6f1a803afd18bb60e8a2f5e3663e8367aacee6fb70267a3f04da

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.503922Z digest=sha256:f1a9c2298360beef6f9dc0c919e959c044e93efb901ab353a9d39937b877d4f6

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.568576Z digest=sha256:f01c40aeff8f4b9b65f0b968c46b28f84e1c7865266f0266f2fa03771ca37790

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:49.624140Z digest=sha256:6cb35ddb70caad0f4a3754b574c1db50d601059b243d36c38982d7f03a94db21

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

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source=pdf_text observed=2026-08-07T14:37:49.688634Z digest=sha256:1987ed4a5ae9d6d03b98cf3ec9d69b722734d11c55f30b21c9590f13b10a58de

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:37:49.751391Z digest=sha256:9a5a9992a58d19c658aafebaeaf1ac4892ac1f8a23c77fc2912615fc65196183

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:49.841125Z digest=sha256:bb9eeb9b43d6cf10c432c4168f4bd4d1e5f284da198f0909f64992603ebfbfea

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

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source=pdf_text observed=2026-08-07T14:37:49.906712Z digest=sha256:6bd8d067e4b7083b6913b6b0f90b4e78401487a6529e817e3fe6658a77e81d7e

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.021900Z digest=sha256:b9b66069d1e0a274f6c47a1f3e0f0d6733975b5b54048144215869225ad15733

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

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:37:50.091147Z digest=sha256:000ac25177de9f4545692f4030a2f0c02d5145a1dbac388e6ffd246063c4b476

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.143020Z digest=sha256:c37e476acf7408f9cf4d1c7b2104e5523613a76f4730b2c341acc823437650da

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.194722Z digest=sha256:fac8fdd2fa737be852d65b39fc3ac01b49632f8fe0f81ec44d0f7583aa0a4773

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.261433Z digest=sha256:f6edcb6e5443ab03fa53f890f557d76e7d33f0e03e008378362ef17766fb470b

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

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source=pdf_text observed=2026-08-07T14:37:50.361263Z digest=sha256:abc62d39a62ff79e36220e7deb9d6fe4c1b2057fdb7b5e9899105978cdc145b9

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.417765Z digest=sha256:a65e65f94ef9cd6374875162f1b8117e46ad359d1bd769afbd7b3ea272316ad5

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.500401Z digest=sha256:f6e1e71c6385799ba7796b057616353da90c882ad2bb6c53ae672c7ece713c23

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.603257Z digest=sha256:d7192d0f66e563d702a7b93ec47722cada74f458252866cdb1f89c53473499a3

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.654832Z digest=sha256:aafbc097ab2d0e7a4e58341f5b8f7d803393a003d045c665e8c1fdb921458002

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.689302Z digest=sha256:cfb0414fc3ba589fe46753d0f92588b649b7158ad458e6e1032af89de92ce098

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.753969Z digest=sha256:31d83f6735e39c1af10d595c37ae65006f48152333ad88aa1c62b33ba8d5909c

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:50.864070Z digest=sha256:7829b566503f22876dde1a32ac3bfa400b172d61ac2270726f6b63377952f7e3

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

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no resolver link, observed 2026-08-07T14:37:50.962803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:50.962803Z digest=sha256:2dbd91839c54405d87ff1e7efe507c2c9f327c4f166e09794602c3115363c59c

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:51.070872Z digest=sha256:ae781cb113a38134825c61f4a18b2a3d54f3cd771b803fce7c2e833c774d4756

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

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unresolved
no resolver link, observed 2026-08-07T14:37:51.151059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:51.151059Z digest=sha256:416c4372f85c3d915143780a26636b0f9570f131bce927ccf945dbb945455f37

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:51.241046Z digest=sha256:19dcb5968b99caf654c4d9abd67016b382ca1a2229380fb64e4762b1ae5eb71a

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:37:47.647502Z digest=sha256:10435ad13f817ae2067566a0fe9afa23c8d46b76c0372c6583f3e687f50a15ea

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

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no resolver link, observed 2026-08-01T20:48:45.224752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:48:45.224752Z digest=sha256:2bb44f472c8f7414f5ea0cdd27142c100ab7544f68acef2480a9915cea3e2801