Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Legal Prompting: Teaching a Language Model to Think Like a Lawyer
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.01326.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:14:49.296190Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T18:13:49.343198Z
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 9c68cf37-c6d6-44f7-879e-685849c4004b · inbound
Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.
Agent AI: Surveying the Horizons of Multimodal Interaction Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Reference 235
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T14:25:59.728153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dd258837-e2e0-4ee0-82cb-0dc57bff52d3 · inbound
Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering cites this paper.
Prompt Engineering Guidelines for Using Large Language Models in Requirements Engineering Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:14:49.296190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0528b318-de0b-40af-ac69-a5464667b8cf · inbound
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:48:51.591055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2df6e5a-0294-4d8a-9ee9-7e44dcec1870 · inbound
LexPath: A domain-oriented multi-path framework for legal article retrieval cites this paper.
LexPath: A domain-oriented multi-path framework for legal article retrieval Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T18:13:49.344689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 53e5d946-1647-47d7-acd7-7d1567411c0e · inbound
From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control cites this paper.
From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control Legal Prompting: Teaching a Language Model to Think Like a Lawyer
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T03:16:08.937731Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.