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Paper Citation Record · LEDGER

Large Language Models Meet Legal Artificial Intelligence: A Survey

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 3 inbound Pith citation observations for arXiv:2509.09969.

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

pith.paper-citation-record.v1
2509.09969 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:26:14.236130Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T21:35:00.419585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:37:47.978601Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aee5ce14-febe-47f0-abde-c84c7079a694 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Large Language Models Meet Legal Artificial Intelligence: A Survey ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.192660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.192660Z digest=sha256:7fe7cc2cbf0fbe056c367bbbca10003c9e95cef68bc9197f8f06ca3b101d6ac2

Observation 1c38b11f-0f5a-475b-8934-6a719515c160 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Large Language Models Meet Legal Artificial Intelligence: A Survey DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.199546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.199546Z digest=sha256:4146c6410b630dcb3903ec26a8fa151bbcbd8567d101518b34aa5497d5936ee6

Observation f1981143-fbf4-4b59-ad5f-d67e4d1986c8 · outbound

This paper cites Lawyer LLaMA Technical Report.

Large Language Models Meet Legal Artificial Intelligence: A Survey Lawyer LLaMA Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.202944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.202944Z digest=sha256:ae8fd855d309756c8faf32e2ed5e8146808f94954aee2d58a47dc3b693316819

Observation 07765743-dc68-461a-afd3-823c9bd0b019 · outbound

This paper cites BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models.

Large Language Models Meet Legal Artificial Intelligence: A Survey BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.206564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.206564Z digest=sha256:7ee761f472e38009cc897bea4e0ebd71198813366e0b56f8c9f18080c6b510bf

Observation 7822ab61-3f1d-4119-9665-a80434b47f39 · outbound

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

Large Language Models Meet Legal Artificial Intelligence: A Survey Automating Legal Interpretation with LLMs: Retrieval, Generation, and Evaluation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.210162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.210162Z digest=sha256:5a76a192cf89d0db0b51fddbce28a3520c26a1ca6548d9e70a3cc9000c05bb6b

Observation 3ba9f45b-85fd-449c-9bbc-429c59104cfc · outbound

This paper cites Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval.

Large Language Models Meet Legal Artificial Intelligence: A Survey Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.213348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.213348Z digest=sha256:36aae9b31f8588f504b32b55989810a6949372f82ee10356b975e91ef16274ac

Observation a9210b2e-7b79-4172-8220-6a33dbfe2420 · outbound

This paper cites PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models.

Large Language Models Meet Legal Artificial Intelligence: A Survey PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.219892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.219892Z digest=sha256:2379f5e289856b412f410a3c9bd23afbac696d3c493599e497fc328d3e0a569d

Observation 3aa27c55-8f2d-4ead-864f-a923936cb5e4 · outbound

This paper cites LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.

Large Language Models Meet Legal Artificial Intelligence: A Survey LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.223229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.223229Z digest=sha256:3af713ac94bec3dc28280957151c1ecebfce61a7c11f5283d4c06ff6ba60541b

Observation a1aa5737-eed0-4fec-ad84-86d316142ab5 · outbound

This paper cites C Supervised Fine-Tuning Datasets We provide detailed information of the complete SFT datasets of legal LLMs in Table 4.

Large Language Models Meet Legal Artificial Intelligence: A Survey C Supervised Fine-Tuning Datasets We provide detailed information of the complete SFT datasets of legal LLMs in Table 4

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.227044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.227044Z digest=sha256:08adfbd0263e685a5270c9cc0681299f633e4e4c06810089f1dba2dbf537d150

Observation 1d8b85fe-4243-477b-841e-62bf76dc1e93 · outbound

This paper cites an unresolved cited work.

Large Language Models Meet Legal Artificial Intelligence: A Survey Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.230100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.230100Z digest=sha256:0141c85c25178f45176c5229e624d944476dbc5ca011fa88caf1e44cd31a3dad

Observation 096ebfb3-27df-4655-ad97-753b8c06c3ca · outbound

This paper cites an unresolved cited work.

Large Language Models Meet Legal Artificial Intelligence: A Survey Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.233168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.233168Z digest=sha256:a82a772b962a20b9f6d8771563a6b9004c265fa3c60a18b946cadfd9312d8651

Observation 475350d6-fd33-48cd-9fab-c1b6dd75a68a · outbound

This paper cites Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models.

Large Language Models Meet Legal Artificial Intelligence: A Survey Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.216462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.216462Z digest=sha256:51bf7a42b8d8e77d835361b0a8ec5434416a5cf2e2c46e99f537cf820c5f669a

Observation d0943850-f78c-4f61-90c8-4bf4a1f924c5 · outbound

This paper cites InPro- ceedings of the Nineteenth International Conference on Artificial Intelligence and Law, ICAIL ’23, page 472–480, New York, NY , USA.

Large Language Models Meet Legal Artificial Intelligence: A Survey InPro- ceedings of the Nineteenth International Conference on Artificial Intelligence and Law, ICAIL ’23, page 472–480, New York, NY , USA

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.196249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.196249Z digest=sha256:d65496bdb7d46dcd7df44faaf8f3bb52aeea4032acc69e869d2b5e61a3cabc90

Observation 91827593-6ad8-4876-bbe2-41fd04c28a80 · outbound

This paper cites Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models.

Large Language Models Meet Legal Artificial Intelligence: A Survey Automatic Information Extraction From Employment Tribunal Judgements Using Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.188245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.188245Z digest=sha256:9fee2bf3a43f51a17fbda61afc16e8e9bfbf4f1a0cc805c9e63f0cf7c5541e0e

Observation b3df1bac-6124-482c-8c06-b2b8d08f8d29 · outbound

This paper cites an unresolved cited work.

Large Language Models Meet Legal Artificial Intelligence: A Survey Unresolved cited work

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T18:26:14.236130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:26:14.236130Z digest=sha256:336f47d3bf17081615d8fda828d081c8db9d0c2744ea582aa5f158547bb59e66

Pith citing papers

Observation cdf167ad-22bf-48ef-be60-0dc2c3b4aaba · inbound

Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts cites this paper.

Towards Intelligent Legal Document Analysis: CNN-Driven Classification of Case Law Texts Large Language Models Meet Legal Artificial Intelligence: A Survey

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:56:10.844996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T05:56:03.443358Z digest=sha256:47160989bff1fe2e129add51629124e7aea858a315eb223b89f595d81796d06b

Observation 2f2251af-9ff9-4d1a-bcd5-af8526e01368 · inbound

LegalCiteBench: Evaluating Citation Reliability in Legal Language Models cites this paper.

LegalCiteBench: Evaluating Citation Reliability in Legal Language Models Large Language Models Meet Legal Artificial Intelligence: A Survey

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:44.661363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T04:01:52.829397Z digest=sha256:7a4e56d9ea501b939563045373fcea01909d77226d5202f69d3c4761e66e66b0

Observation 1fb3279f-f429-4544-9882-ae2af98c3004 · inbound

Exploring Lightweight Large Language Models for Court View Generation cites this paper.

Exploring Lightweight Large Language Models for Court View Generation Large Language Models Meet Legal Artificial Intelligence: A Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:37:47.980360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-19T21:35:00.419585Z digest=sha256:1dfe90cebe447f29dd99246aa41ba74010b471ce6e186211878884f1e7ec6d43