Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LawLLM: Law Large Language Model for the US Legal System
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.21065.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:52:04.622369Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:07:25.017824Z
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 9e52d73e-2f72-423f-8736-efaee3cc3689 · inbound
Political-LLM: Large Language Models in Political Science cites this paper.
Political-LLM: Large Language Models in Political Science LawLLM: Law Large Language Model for the US Legal System
Reference 192
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:52:04.622369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6be2d88e-3a2a-4ecc-8028-9c34c12e8aa2 · inbound
Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning cites this paper.
Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning LawLLM: Law Large Language Model for the US Legal System
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:00.616891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 854e0dd5-4ff6-47ca-9d3f-a6f116a7294d · inbound
Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders cites this paper.
Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders LawLLM: Law Large Language Model for the US Legal System
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:08:50.905125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fff2e99a-c35c-49a0-bf7e-3ff7dae062ef · inbound
LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa cites this paper.
LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa LawLLM: Law Large Language Model for the US Legal System
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:07:25.020672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.