Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.18092.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:45:07.474206Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:50:41.926425Z
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 2c08a5ea-519a-49ec-97ea-83a5cd788629 · inbound
LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration cites this paper.
LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:45:07.474206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8cf8d46-0dab-4897-bd2e-eb0b5f9bfde5 · inbound
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data cites this paper.
A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
Reference 238
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:15:35.060709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6949d1b4-c70a-403f-99cf-9f22014258ad · inbound
Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges cites this paper.
Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
Reference 79
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-09T06:50:41.928189Z
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.