Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Better Call GPT, Comparing Large Language Models Against Lawyers
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.16212.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:37:11.070262Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
10
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1b58da81-2bfb-4bf1-826b-f82c4477799b · inbound
Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context cites this paper.
Lightweight Domain Adaptation of a Large Language Model for Legal Assistance in the Indian Context Better Call GPT, Comparing Large Language Models Against Lawyers
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:12:23.766090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 15f387fd-ce68-493e-86cb-1cb3b31f81a2 · inbound
When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.
When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance Better Call GPT, Comparing Large Language Models Against Lawyers
Reference 124
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:11.070262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc54c6eb-ea85-4281-9cc4-faa1094a5b65 · inbound
Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: An Experimental Study cites this paper.
Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: An Experimental Study Better Call GPT, Comparing Large Language Models Against Lawyers
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:22:21.273129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ecc92af-f72f-4a10-9853-a5119b43d2a1 · inbound
A Few Good Clauses: Comparing LLMs vs Domain-Trained Small Language Models on Structured Contract Extraction cites this paper.
A Few Good Clauses: Comparing LLMs vs Domain-Trained Small Language Models on Structured Contract Extraction Better Call GPT, Comparing Large Language Models Against Lawyers
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T21:49:16.312635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e2b07d8d-24b1-4ec8-94e4-b3a2b5726fdb · inbound
DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods cites this paper.
DECODEM: Data Extraction from Corporate Organizational Documents via Enhanced Methods Better Call GPT, Comparing Large Language Models Against Lawyers
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:07:28.682572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.