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Paper Citation Record · LEDGER

Creativity in LLM-based Multi-Agent Systems: A Survey

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 4 inbound Pith citation observations for arXiv:2505.21116.

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

pith.paper-citation-record.v1
2505.21116 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:23.627518Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:36:42.234848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:43:54.912159Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42889c0e-480a-4dbf-b68d-df45da9a4a06 · outbound

This paper cites Rapid AIdeation: Generating Ideas With the Self and in Collaboration With Large Language Models.

Creativity in LLM-based Multi-Agent Systems: A Survey Rapid AIdeation: Generating Ideas With the Self and in Collaboration With Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:22.797515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:22.797515Z digest=sha256:bbbb81be2692aa284da97ba71c36583cc941c764d026815edfd92c3bd54fd725

Observation 4bc94ee8-8935-44bc-8ef0-b686a58b9cf7 · outbound

This paper cites AI Idea Bench 2025: AI Research Idea Generation Benchmark.

Creativity in LLM-based Multi-Agent Systems: A Survey AI Idea Bench 2025: AI Research Idea Generation Benchmark

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:22.887540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:22.887540Z digest=sha256:d7524b54aa65d4c2b25420e9d490ce5702b80831cb226e96e9753f6e7549aa15

Observation 49219895-be20-4f93-9d17-fcc7b70504a8 · outbound

This paper cites Personality Traits in Large Language Models.

Creativity in LLM-based Multi-Agent Systems: A Survey Personality Traits in Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:22.972479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:22.972479Z digest=sha256:86d11b417fda20e80132a729c4674b0cee75dfff09bffc4d94dc881b6792341e

Observation d67dd509-861f-4676-9089-2bc3aa498caa · outbound

This paper cites arXiv preprint arXiv:2412.04629.

Creativity in LLM-based Multi-Agent Systems: A Survey arXiv preprint arXiv:2412.04629

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.056304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.056304Z digest=sha256:cf486836f4f8206b4aff4e7bd729eb919e8888c86c3b67595df49252f18a5c1c

Observation d9171388-d2d6-4c83-ae09-1f6d9de074cd · outbound

This paper cites Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean.

Creativity in LLM-based Multi-Agent Systems: A Survey Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.231851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.231851Z digest=sha256:c2d2db1aa369b2eff54fd6193ff75e410cd55d6a3b43fc658b00dcccde25be04

Observation a1d7fb86-605d-404c-9622-b4c0b40169f1 · outbound

This paper cites It Felt Like Hav- ing a Second Mind.

Creativity in LLM-based Multi-Agent Systems: A Survey It Felt Like Hav- ing a Second Mind

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.310448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.310448Z digest=sha256:0b3c5d43b3e4216302b57fc15ad5f5ce669de9d003beb6d6ab86f5102fcd176c

Observation 9060e0f9-54c4-4de7-bde4-394d6aa91ebf · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

Creativity in LLM-based Multi-Agent Systems: A Survey TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.386917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.386917Z digest=sha256:0e9e451955f5d4ab8da1a543ca9bce66b68ea85dd852be62f364c417d49ceb98

Observation 79f4b976-3828-4495-8793-f54a4c4be805 · outbound

This paper cites Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems.

Creativity in LLM-based Multi-Agent Systems: A Survey Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.449402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.449402Z digest=sha256:998d22aaaa28f05cf0cf0fc8959a7466b0ef54306403dce865ecefb6cc61671d

Observation 0b95bd57-2864-420e-98ac-0984fecbf533 · outbound

This paper cites The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems.

Creativity in LLM-based Multi-Agent Systems: A Survey The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.509833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.509833Z digest=sha256:7e61f1f44bfccb01141be229b1a88aa879292cdaec7967842ff129550d7657c3

Observation a6cc830d-e36c-4b62-80b4-b3ec5c790715 · outbound

This paper cites MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming.

Creativity in LLM-based Multi-Agent Systems: A Survey MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:23.583804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:23.583804Z digest=sha256:ab64b72c1d04b78cb0edc1ed1c87a654a2af91a5db70e2550d54a069222a446a

Observation ee4be1b4-e365-4368-8e40-2c13f29cb4dd · outbound

This paper cites Colin (Ye et al., 2024) exhibits the agent proactivity through a different way.

Creativity in LLM-based Multi-Agent Systems: A Survey Colin (Ye et al., 2024) exhibits the agent proactivity through a different way

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:24.630157Z

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.

source=pdf_text observed=2026-08-07T13:43:23.627518Z digest=sha256:e52cb053aaeb4caf473c5782c5ffdba1cea340184f91a021dc7e058043d77168

Observation 1fc1ad26-d02c-471c-a03a-7328106eac47 · outbound

This paper cites Persona is a Double-edged Sword: Mitigating the Negative Impact of Role-playing Prompts in Zero-shot Reasoning Tasks.

Creativity in LLM-based Multi-Agent Systems: A Survey Persona is a Double-edged Sword: Mitigating the Negative Impact of Role-playing Prompts in Zero-shot Reasoning Tasks

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:22.709395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:22.709395Z digest=sha256:6c8ca33dbae8c3cba583b37b84fb2a0b0b5d7e26ea88a25054dbc8e43909c5ff

Observation ec2cd4ec-c46a-4e99-9a1b-13e056622274 · outbound

This paper cites In 2017 International Confer- ence on Computing, Communication and Automation (ICCCA).

Creativity in LLM-based Multi-Agent Systems: A Survey In 2017 International Confer- ence on Computing, Communication and Automation (ICCCA)

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:24.768285Z

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.

source=pdf_text observed=2026-08-07T13:43:23.158414Z digest=sha256:46c8ecf2b5aefb2ae8855a6dc29e300eb2e43c52c05589fa64d22587932beb83

Observation e6c120ef-a1e8-4df1-b697-149e62861ecc · outbound

This paper cites Resource allocation in dynamic multiagent systems.

Creativity in LLM-based Multi-Agent Systems: A Survey Resource allocation in dynamic multiagent systems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:22.443344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:22.443344Z digest=sha256:801d9dcec9c4a4fe48a764708c6bc9e9818666bd0d6cf9920e783aef4af314a2

Observation 92c8601b-7c74-4391-8ab5-bf22144cfd6b · outbound

This paper cites Creative Agents: Simulating the Systems Model of Creativity with Generative Agents.

Creativity in LLM-based Multi-Agent Systems: A Survey Creative Agents: Simulating the Systems Model of Creativity with Generative Agents

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T13:43:24.421103Z

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.

source=pdf_text observed=2026-08-07T13:43:22.631161Z digest=sha256:dc1a7d16eb78ad58e3bf8bad270040765f0c1ac42a667468295fc3ff78dbadfd

Observation 35d461b7-027f-4c23-914f-7fd352545451 · outbound

This paper cites Towards an AI co-scientist.

Creativity in LLM-based Multi-Agent Systems: A Survey Towards an AI co-scientist

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:22.536367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:22.536367Z digest=sha256:2a3512bcc7fb56624a913ddc233e1e545630409090b595aec79d4e15b20aa17f

Pith citing papers

Observation de7fc77f-88ca-40f5-aeb2-13515257fc80 · inbound

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum cites this paper.

AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum Creativity in LLM-based Multi-Agent Systems: A Survey

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:43:49.853613Z

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.

source=pdf_text observed=2026-05-10T05:08:54.560648Z digest=sha256:1375ec6bde841c86adf38db48af120589a6a225ad34a11534121e7ddbccb6624

Observation 60418032-e56e-4900-9b92-397ee0fbc428 · inbound

Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization cites this paper.

Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization Creativity in LLM-based Multi-Agent Systems: A Survey

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:01:07.076136Z

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.

source=arxiv_source observed=2026-05-09T23:42:00.548132Z digest=sha256:d356148f3d7d0deee49de7586f2e870aef43884e48ffbd1151f6e2e1b6f4459f

Observation 347f942c-b830-488d-924a-50feb58dadfe · inbound

When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems cites this paper.

When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems Creativity in LLM-based Multi-Agent Systems: A Survey

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:26:38.006973Z

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.

source=arxiv_source observed=2026-05-25T04:25:26.710488Z digest=sha256:aa09e73185d368274fee3893218933c0a23b5457c3c2b044729d914da7be4053

Observation 75933031-1ee0-4473-aca1-f205eb39f938 · inbound

Multi-Agent Coordination Adaptation via Structure-Guided Orchestration cites this paper.

Multi-Agent Coordination Adaptation via Structure-Guided Orchestration Creativity in LLM-based Multi-Agent Systems: A Survey

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:43:54.913734Z

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.

source=pdf_text observed=2026-06-29T19:36:42.234848Z digest=sha256:535be037b5322c53db5f07af01979d6637c388a7f6bf1b4c414e14477096b232