Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EconNLI: Evaluating Large Language Models on Economics Reasoning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.01212.
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 2026-08-06T18:26:50.738269Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:12:20.702358Z
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 3f9b7747-ca71-4847-8b35-2b2ce434a726 · inbound
Bridging Language Models and Financial Analysis cites this paper.
Bridging Language Models and Financial Analysis EconNLI: Evaluating Large Language Models on Economics Reasoning
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:12:20.704454Z
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.
Observation 91d4573f-16e8-40cb-85b8-28d63b777b27 · inbound
CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation cites this paper.
CRMAgent: A Multi-Agent LLM System for E-Commerce CRM Message Template Generation EconNLI: Evaluating Large Language Models on Economics Reasoning
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:26:50.738269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fb564a0-e38b-4fa8-ad75-76821c707756 · inbound
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.
From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines EconNLI: Evaluating Large Language Models on Economics Reasoning
Reference 148
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:03:39.360268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.