Paper Citation Record · LEDGER

Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2306.09525.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2306.09525 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:58:04.132162Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T11:52:16.245390Z

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 669e86d0-28e8-4c82-a4b7-8fac32fa1d4f · inbound

Legal Evalutions and Challenges of Large Language Models cites this paper.

Legal Evalutions and Challenges of Large Language Models Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T19:58:04.132162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5844d97b-8016-45f4-8290-a00f40685596 · inbound

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents cites this paper.

From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T18:27:26.360879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f85bd35-11c3-40ca-8537-99757ea59d44 · inbound

CitaLaw: Enhancing LLM with Citations in Legal Domain cites this paper.

CitaLaw: Enhancing LLM with Citations in Legal Domain Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:10:16.856188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31509cc2-a7b7-49de-9483-61268ae8df90 · inbound

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice cites this paper.

Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T14:34:14.249895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a684dc70-65ce-4457-9c8d-89511fc5230e · inbound

Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation cites this paper.

Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T22:26:21.730766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77c2ff1-9c92-4830-9fbc-91b894cc109e · inbound

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems cites this paper.

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:52:16.246837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d3aee48d-a61a-49a3-8507-578989ec3f3c · inbound

LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues cites this paper.

LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:11:10.565791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 61db5d67-ae80-4405-a699-9faa5b0e7f8d · inbound

Evaluating RAG for French immigration law: a benchmark and baseline study cites this paper.

Evaluating RAG for French immigration law: a benchmark and baseline study Explaining Legal Concepts with Augmented Large Language Models (GPT-4)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T14:41:31.489215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.