Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.00262.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:58:46.702120Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:09:54.343038Z
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 ac2ea22f-c5ac-4a5f-a982-d662b17529f1 · inbound
A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios cites this paper.
A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:58:46.702120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c972a376-bbff-4106-aa57-6940afd04fb5 · inbound
Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection cites this paper.
Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:16:19.873822Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d77114df-8adb-45dc-a01f-9889568e2ec6 · inbound
LLM Parameters for Math Across Languages: Shared or Separate? cites this paper.
LLM Parameters for Math Across Languages: Shared or Separate? Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T21:28:59.042381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 477bbf57-b75d-495b-b5ce-8ea8f7fba222 · inbound
EconSimulacra: A Digital Twin Platform of Socio-Economic Systems Powered by LLM Agents cites this paper.
EconSimulacra: A Digital Twin Platform of Socio-Economic Systems Powered by LLM Agents Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:09:54.345513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a2bb716e-e920-4ff8-aba6-c0fa0be7d6cc · inbound
EconSimulacra: A Digital Twin Platform of Socio-Economic Systems Powered by LLM Agents cites this paper.
EconSimulacra: A Digital Twin Platform of Socio-Economic Systems Powered by LLM Agents Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:45:35.494652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.