Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.00217.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:33.579560Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:59:48.888608Z
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 a1b362fb-3423-4452-8d25-c90e5afc1881 · 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 Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
Reference 226
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:18:33.579560Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07657e3e-f2d1-4499-9eb9-d99ac80b378d · inbound
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need cites this paper.
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
Reference 2025
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:59:49.040748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.