Paper Citation Record · LEDGER

MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.08562.

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

pith.paper-citation-record.v1
2311.08562 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:34:38.370753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:57:16.290914Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9a34547f-2186-4d93-aeb0-d8c0f6cd603f · inbound

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments cites this paper.

VS-Bench: Evaluating VLMs for Strategic Abilities in Multi-Agent Environments MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:57:16.292816Z

Source-reported events for the cited work

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

Observation 4cef86c4-0035-4502-a347-cb4f3d6ce03d · inbound

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models cites this paper.

WGSR-Bench: Wargame-based Game-theoretic Strategic Reasoning Benchmark for Large Language Models MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:34:38.370753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4784a3-2c23-40a1-b635-1fd39b2e067a · inbound

How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison cites this paper.

How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:26.690889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b252f0-42d4-4a75-b78b-89e7453133f9 · inbound

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs cites this paper.

AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T18:18:07.629631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3b1046-dd61-498a-95dd-bff9a62595a2 · inbound

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review cites this paper.

Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-06T17:42:59.006420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 474df2fa-d0e8-460b-b8bf-1b720f13b87d · inbound

Evaluation and Benchmarking of LLM Agents: A Survey cites this paper.

Evaluation and Benchmarking of LLM Agents: A Survey MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:21.813422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83bd962d-c5a3-4607-bcc6-cb2a4e9b6698 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.362590Z

Source-reported events for the cited work

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

Observation c6717d4b-75f5-42b4-9858-c61436ed9ff4 · inbound

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems cites this paper.

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:31:02.014741Z

Source-reported events for the cited work

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

Observation 44ca29bb-f5f2-4e29-a69e-67379e3236ec · inbound

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems cites this paper.

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T10:33:43.859087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deca742b-f964-45d6-b746-6045571a4826 · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:55.904457Z

Source-reported events for the cited work

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