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Paper Citation Record · LEDGER

Large Language Models Meet Legal Artificial Intelligence: A Survey

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:9adfc1216c46a47c47721f297a33b0d54b2d0ad726a2424cbd3373e3fb9d8378

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:e9247e10e793c9e349dfe1ed29796264f5bf2197035e08f9a5d4d0928e0a8a34

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=sha256:6098d293e7946870f05d9081bedb906cc21eca7403fad91ffa49d62317360693

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=sha256:1770e6742ee7d2f44bf120b1bdaf4890c91aa696acc4ef275ecbf505193b2626

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:fa8d4d7aee68b4c04d6ae615aa1f784ff9bf066c2b6918f48479e7134f9605fa

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=sha256:2f93bc5a2cb0538679c94f3a2ce2901a7bbd5bafab21855a0ef7808a4ba9127a

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:ed07fa75d09b264664d71726a24dae22037ad37871fa321ad22e8209a20784c6

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=sha256:77e4a20c9a2f22d1b413009c89ff8f54cda740c1ee4f8bc4524dcc4d4692b3b1

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=sha256:5a69b861c670bb65fd56f45de6e7407b21909cf7c14744c8b583572d752c2a0f

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=sha256:7d27b6239daae17ed0cbfec67e3ad4a86597052d1e6f571172a024dc86887325

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:aa7f61f659c264dde763f8dda03263cea547ec0a57789c1690694f4ed3d5abc3

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:a073ad695c7c1ff094581baed563dcf0b9c78db1a029eb2f65f9dcd8d61bcfce

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=sha256:61027f8a765a957f7d98bb8d776eb910c03fddfc60fe609aa1aa2511f68c4f56

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=sha256:27e6e5b65936af995b6136bcb6a23e2f35417dbd3f5eb11f40d38da8e511a7a1

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=sha256:51c469c89fa69ca5ec75313af0c22c17b172e3c511160af225b5d143df9caf44

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T05:56:03.443358Z digest=sha256:5150b92cda10f5fc4111260899c096fbcdfb0e308120a38e3d8c3df552d61f02

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T04:01:52.829397Z digest=sha256:e8a50c5f477c77c319a92bd4c786710191bdb7295f4303b59a0eed50b2f308c1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T21:35:00.419585Z digest=sha256:48028f2e2a35d7e45ee41582ae9f3d76a3acdad8d155e11bb5fca6aa1a642e35