Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.01963.
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 2026-08-05T15:18:04.635894Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T17:02:40.871386Z
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 595a3687-98e0-4d86-8367-6365883a433f · inbound
A Survey of Context Engineering for Large Language Models cites this paper.
A Survey of Context Engineering for Large Language Models LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:58:45.349756Z
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 44efda7c-9e63-45ba-8946-e73453096423 · inbound
Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence cites this paper.
Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:18:04.635894Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2532011-c579-4698-82fe-57b4dcb69540 · inbound
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T19:21:48.246164Z
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 81643703-c044-4809-8ea7-bab5dbbef617 · inbound
Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models cites this paper.
Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:01:43.567279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00ef0cf9-f97a-4427-9fea-a8f87d37427f · inbound
Agentic Frameworks for Reasoning Tasks: An Empirical Study cites this paper.
Agentic Frameworks for Reasoning Tasks: An Empirical Study LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T09:08:26.165200Z
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 7cec0b11-852c-4f2c-94e0-48ad7b57d603 · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:21:29.820581Z
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 096a7850-f5b9-45bc-99e8-d4259cb32d6c · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:11:17.347064Z
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 47757b18-e613-421f-b7c9-24c27a98aa2d · inbound
Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.
Rethinking Agentic Reinforcement Learning In Large Language Models LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:02:40.873002Z
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 71439ed6-f2bb-4ea0-9d99-1c295128f147 · inbound
A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability cites this paper.
A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems
Reference 85
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:06:19.497715Z
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.