Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Short Survey of Viewing Large Language Models in Legal Aspect
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2303.09136.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:04.214978Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T23:31:11.564212Z
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 c83ce0dd-e6fc-4855-a92d-6d1bc6553411 · inbound
A Survey on Knowledge Distillation of Large Language Models cites this paper.
A Survey on Knowledge Distillation of Large Language Models A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 174
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:31:11.567239Z
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.
Observation 22df3db4-ba71-469a-ac38-15feae8ce1e0 · inbound
Abstract Counterfactuals for Language Model Agents cites this paper.
Abstract Counterfactuals for Language Model Agents A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:25:04.214978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caf257b6-15f8-44e9-9f62-a7f1e890266d · 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 A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 177
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:37:11.205686Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6135202b-440e-494c-9a9b-dd939697ddc2 · 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 A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:22:21.226955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 006a2959-ad5a-41d9-bcbe-ca5a13edc339 · inbound
Charting the Future of Scholarly Knowledge with AI: A Community Perspective cites this paper.
Charting the Future of Scholarly Knowledge with AI: A Community Perspective A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 106
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:32:34.250377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e96bdd8e-e364-4eb7-95ea-4207c7361227 · inbound
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations cites this paper.
Testing for LLM response differences: the case of a composite null consisting of semantically irrelevant query perturbations A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:26:38.376545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1aa3e1fa-b5af-4e21-ae0b-70fe5d78e96b · inbound
VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models cites this paper.
VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:38:34.201426Z
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.
Observation 15bb14fa-6fbb-4a93-9fac-d991646cb95d · inbound
VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models cites this paper.
VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T06:05:35.360539Z
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.
Observation ef68943d-0c9f-410c-9216-d6d58eace508 · inbound
Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm cites this paper.
Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm A Short Survey of Viewing Large Language Models in Legal Aspect
Reference 106
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:56:25.534241Z
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.