Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.17019.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:38:44.342581Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T23:40:03.292510Z
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 e84d9ca5-792a-4047-8ce4-2c8e4102eb6b · inbound
Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice cites this paper.
Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:38:44.342581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d84b01bf-a971-46e7-99bc-a669b751ff6c · inbound
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses cites this paper.
Can Large Language Models Integrate Spatial Data? Empirical Insights into Reasoning Strengths and Computational Weaknesses Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling
Reference 2004
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T23:40:03.295705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.