Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Very Large-Scale Multi-Agent Simulation in AgentScope
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.17789.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:34.494227Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T15:15:16.676923Z
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 6ff0edb0-8402-4aa6-8378-04885a0b0263 · inbound
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Very Large-Scale Multi-Agent Simulation in AgentScope
Reference 266
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:18:34.494227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7ecb434-0d01-47d7-bcda-209621d7b900 · inbound
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application cites this paper.
A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application Very Large-Scale Multi-Agent Simulation in AgentScope
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:29:24.528601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31ee44f2-1294-43cc-8778-7c0c625921fe · inbound
Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects cites this paper.
Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects Very Large-Scale Multi-Agent Simulation in AgentScope
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:36:01.026321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c2ce70a-94c3-4c42-affe-fe97b883e641 · inbound
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows cites this paper.
KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows Very Large-Scale Multi-Agent Simulation in AgentScope
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:45:42.266656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c59ec365-6441-4b4e-8af8-2eddae0dd068 · inbound
BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web cites this paper.
BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web Very Large-Scale Multi-Agent Simulation in AgentScope
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:55:33.619713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8e2e246-4e89-4442-9d8d-5b9af6c3dfaf · inbound
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications cites this paper.
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications Very Large-Scale Multi-Agent Simulation in AgentScope
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:26:29.032754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68e4dae3-af98-49db-872d-34d1b546db43 · inbound
MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness cites this paper.
MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness Very Large-Scale Multi-Agent Simulation in AgentScope
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T15:15:16.678764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.